[ { "path": ".github/ISSUE_TEMPLATE/bug_report.md", "content": "---\nname: Bug report\nabout: Create a report to help us improve\ntitle: ''\nlabels: ''\nassignees: ''\n\n---\n\n**Describe the bug**\nA clear and concise description of what the bug is.\n\n**To Reproduce**\nSteps to reproduce the behavior:\n1. Go to '...'\n2. Click on '....'\n3. Scroll down to '....'\n4. See error\n\n**Expected behavior**\nA clear and concise description of what you expected to happen.\n\n**Screenshots**\nIf applicable, add screenshots to help explain your problem.\n\n**Desktop (please complete the following information):**\n - OS: [e.g. iOS]\n - Browser [e.g. chrome, safari]\n - Version [e.g. 22]\n\n**Smartphone (please complete the following information):**\n - Device: [e.g. iPhone6]\n - OS: [e.g. iOS8.1]\n - Browser [e.g. stock browser, safari]\n - Version [e.g. 22]\n\n**Additional context**\nAdd any other context about the problem here.\n" }, { "path": ".github/ISSUE_TEMPLATE/feature_request.md", "content": "---\nname: Feature request\nabout: Suggest an idea for this project\ntitle: ''\nlabels: ''\nassignees: ''\n\n---\n\n**Is your feature request related to a problem? Please describe.**\nA clear and concise description of what the problem is. Ex. I'm always frustrated when [...]\n\n**Describe the solution you'd like**\nA clear and concise description of what you want to happen.\n\n**Describe alternatives you've considered**\nA clear and concise description of any alternative solutions or features you've considered.\n\n**Additional context**\nAdd any other context or screenshots about the feature request here.\n" }, { "path": "DaPy/__init__.py", "content": "# user/bin/python\n#########################################\n# Author : Xuansheng Wu \n# Email : wuxsmail@163.com \n# created : 2017-11-01\n# Last modified : 2020-02-04\n# Filename : DaPy.__init__.py\n# Description : initial file for DaPy \n#########################################\n'''\nData Analysis Library for Humans.\n\nDaPy module is a fundemantal data processing tool, which helps you\nreadily process and analysis data. DaPy offers a series of humane data\nstructures, including but not limiting in SeriesSet, Frame and DataSet. Moreover,\nit implements some basic data analysis algorithms, such as Multilayer\nPerceptrons, One way ANOVA and Linear Regression. With DaPy help,\ndata scientists can handle their data and complete the analysis task easily.\n\nEnjoy the tour in data mining!\n\n:Copyright (C) 2018 - 2020 Xuansheng Wu.\n:License: GNU 3.0, see LICENSE for more details.\n'''\n\n__all__ = [ 'SeriesSet', 'mat', 'DataSet', 'datasets', 'methods', 'Table', \n 'exp', 'dot', 'multiply', 'zeros', 'ones', 'C', 'P', 'add',\n 'diag', 'log', 'boxcox', 'cov', 'corr', 'frequency', 'quantiles',\n 'distribution', 'describe', 'mean', 'abs', 'max', 'nan', 'inf', \n 'sum', 'diff', 'read', 'encode', 'save', 'delete', 'column_stack',\n 'merge', 'row_stack', 'boxcox', 'show_time', 'get_dummies']\n\nfrom .core import SeriesSet, DataSet, Matrix, Series\nfrom .core import nan, inf, argsort\nfrom .matlib import exp, dot, multiply, zeros, ones, C, P, add, diag, log, boxcox\nfrom .matlib import cov, corr, frequency, quantiles, _sum as sum, diff, cumsum\nfrom .matlib import distribution, describe, mean, _abs as abs, _max as max\nfrom .io import read, encode, save\nfrom .operation import delete, column_stack, row_stack, merge, concatenate\nfrom .operation import get_dummies, get_ranks, _repeat as repeat\nfrom warnings import warn \nfrom datetime import datetime\n\nTable = SeriesSet\nmat = Matrix\n\n__title__ = 'DaPy'\n__description__ = 'Enjoy the tour in data mining !'\n__url__ = 'http://dapy.kitgram.cn'\n__version__ = '1.14.1'\n__build__ = 0x20200214\n__author__ = 'Xuansheng Wu (wuxsmail@163.com)'\n__license__ = '''DaPy Copyright (C) 2018 - 2020 WU Xuansheng'+\\\n This program comes with ABSOLUTELY NO WARRANTY;\n for details type `show w'.This is free software,\n and you are welcome to redistribute it under certain\n conditions; type `show c' for details.'''\n__copyright__ = 'Copyright 2018-2020 Xuansheng Wu.'\n__date__ = datetime(2020, 2, 14)\n\ndef _unittests():\n from unittest import TestSuite, defaultTestLoader, TextTestRunner\n _tests = TestSuite()\n for case in defaultTestLoader.discover('.', 'test_*.py'):\n _tests.addTests(case)\n tester = TextTestRunner()\n tester.run(_tests)\n\nif 'Alpha' in __version__:\n print('In developing edition of DaPy-%s' % __version__)\n" }, { "path": "DaPy/core/DataSet.py", "content": "from collections import Counter, Iterator, namedtuple\nfrom copy import copy\nfrom functools import wraps\nfrom operator import methodcaller\nfrom os.path import isfile\nfrom pprint import pprint\nfrom time import clock\n\nfrom .base import (PYTHON3, Frame, LogErr, LogInfo, Matrix, Series,\n SeriesSet, auto_plus_one, is_iter, is_seq, is_str,\n map, pickle, range, zip)\nfrom .io import (parse_addr, parse_db, parse_excel, parse_html,\n parse_mysql_server, parse_sav, parse_sql, write_db,\n write_html, write_sql, write_txt, write_xls)\n\n__all__ = ['DataSet']\n\nSHOW_LOG = True\n\ndef timer(func):\n @wraps(func)\n def timer_func(self, *args, **kwrds):\n start = clock()\n ret = func(self, *args, **kwrds)\n if self.logging is True:\n name, spent = func.__name__, clock() - start\n LogInfo('%s() in %.3fs.' % (name, spent))\n return ret\n return timer_func\n\ndef operater(callfunc):\n callfunc = getattr(SeriesSet, callfunc.__name__)\n @wraps(callfunc)\n def operate_func(self, *args, **kwrds):\n ret_set = DataSet()\n for name, sheet in zip(self._sheets, self._data):\n ret = callfunc(sheet, *args, **kwrds)\n if isinstance(ret, (SeriesSet, Series, list, tuple)):\n ret_set._add(ret, name)\n\n elif isinstance(ret, (dict, Counter)):\n for name_, ret_ in ret.items():\n ret_set._add(ret_, name_)\n return ret_set\n return operate_func\n\n\nclass DataSet(object):\n '''A easy-to-use functional data structure similar to MySQL database\n \n DataSet is one of the fundamantal data structure in DaPy. \n It supports users easily to opearte any data structure in \n a same way with Pythonic Syntax. Additionally, it has \n logging function.\n\n Attrbutes\n ---------\n data : list\n a list stored all the sheets inside.\n\n sheets : list\n a list stored all the names of each sheet.\n\n types : list\n the list stored all the type of each sheet.\n\n Examples\n --------\n >>> import DaPy as dp\n >>> data = dp.DataSet([[1, 2, 3], [2, 3, 4]])\n >>> data.tocol()\n >>> data\n sheet:sheet0\n ============\n Col_0: <1, 2>\n Col_1: <2, 3>\n Col_2: <3, 4>\n >>> data.info\n sheet:sheet0\n ============\n 1. Structure: DaPy.SeriesSet\n 2. Dimensions: Ln=2 | Col=3\n 3. Miss Value: 0 elements\n 4. Describe: \n Title | Miss | Min | Max | Mean | Std |Dtype\n -------+------+-----+-----+------+------+-----\n Col_0 | 0 | 1 | 2 | 1.50 | 0.71 | list\n Col_1 | 0 | 2 | 3 | 2.50 | 0.71 | list\n Col_2 | 0 | 3 | 4 | 3.50 | 0.71 | list\n ==============================================\n '''\n __all__ = ['data', 'columns', 'sheets','info', 'add', 'append', 'append_col', 'info',\n 'count', 'count_element', 'pop_miss_value', 'size', 'shape',\n 'extend', 'insert', 'insert_col', 'pick', 'pop', 'pop_col',\n 'normalized', 'read', 'reverse', 'replace', 'shuffles','corr',\n 'sort', 'save', 'tomat', 'toframe', 'tocol', 'show', 'log']\n\n def __init__(self, obj=None, sheet='sheet0', log=SHOW_LOG):\n '''\n Parameter\n ---------\n obj : array-like (default=None)\n initialized your data from a data structure, such as dict(), list()\n Frame(), SeriesSet(), Matrix(), DataSet().\n \n sheet : str (default='sheet0')\n the name of first sheet inside.\n\n log : bool (default=True)\n show the time consuming for each operation\n '''\n self.logging = log\n \n if obj is None:\n self._data = []\n self._sheets = []\n self._types = []\n \n elif (not is_iter(obj)) and not isinstance(obj, str):\n raise TypeError('DataSet can not store this object.')\n\n elif isinstance(obj, DataSet):\n self._data = copy(obj._data)\n self._sheets = copy(obj._sheets)\n self._types = copy(obj._types)\n \n elif isinstance(obj, (Matrix, SeriesSet, Frame)):\n self._data = [obj, ]\n self._sheets = [str(sheet), ]\n self._types = [type(sheet), ]\n\n elif isinstance(sheet, str):\n self._data = [obj, ]\n self._sheets = [str(sheet), ]\n self._types = [type(obj), ]\n \n else:\n self._data = list(obj)\n self._sheets = list(map(str, sheet))\n self._types = list(map(type, self._data))\n if len(set(self._sheets)) != len(self._data):\n raise ValueError(\"the number of sheets' names do not enough.\")\n \n @property\n def data(self):\n if len(self._data) == 1:\n return self._data[0]\n return self._data\n\n @property\n def columns(self):\n '''names of columns of each table'''\n if len(self._data) > 1:\n new_ = list()\n for i, data in enumerate(self._data):\n if hasattr(data, 'columns'):\n new_.append([self._sheets[i]] + data.columns)\n else:\n new_.append([self._sheets[i], None])\n new_title = ['sheet name']\n new_title.extend(['title_%d'%i for i in range(1, len(max(new_, key=len)))])\n return SeriesSet(new_, new_title)\n \n if len(self._data) == 1:\n if hasattr(self._data[0], 'columns'):\n return self._data[0].columns\n return None\n\n @property\n def logging(self):\n return self._log\n\n @logging.setter\n def logging(self, value):\n if value is not True:\n self._log = False\n else:\n self._log = True\n\n @property\n def level(self):\n return len(self._data)\n\n @columns.setter\n def columns(self, value):\n for data in self._data:\n if hasattr(data, 'columns'):\n data.columns = value\n\n @property\n def sheets(self):\n return self._sheets\n\n @sheets.setter\n def sheets(self, other):\n if isinstance(other, str):\n self._sheets = [self._check_sheet_new_name(other) for i in range(len(self._sheets))]\n\n elif is_iter(other):\n if len(set(other)) == len(self._sheets):\n self._sheets = []\n self._sheets = [self._check_sheet_new_name(item) for item in other]\n else:\n raise ValueError('the names size does not match the size of '+\\\n 'sheets inside the DataSet')\n else:\n raise ValueError('unrecognized symbol as %s'%other)\n \n @property\n def shape(self):\n temp = SeriesSet(None, ['Level', 'Sheet', 'Ln', 'Col'], nan='-')\n for i, (sheet, data) in enumerate(zip(self._sheets, self._data)):\n if hasattr(data, 'shape'):\n temp.append([i, sheet] + list(data.shape))\n else:\n temp.append((i, sheet, len(data)))\n return temp\n \n @property\n def info(self):\n for i, data in enumerate(self._data):\n print('sheet:' + self._sheets[i])\n print('=' * (len(self._sheets[i]) + 6))\n if isinstance(data, (Frame, SeriesSet)):\n data.info\n else:\n print('%s has no info() function'%type(data))\n return None\n\n def __getattr__(self, name):\n if name in self._sheets:\n return self.__getitem__(name)\n\n temp = DataSet()\n for sheet, data in zip(self._sheets, self._data):\n if hasattr(data, name) or\\\n (hasattr(data, 'columns') and name in data.columns):\n attr = methodcaller(name)\n try:\n temp._add(attr(data), sheet)\n except TypeError:\n temp._add(getattr(data, name), sheet)\n\n assert temp.level != 0, \"DataSet has no sheet `%s`'\" % name\n return temp\n \n def _check_col_ind_str(self, ind):\n assert ind in self._sheets, \"'%s' is not a sheet name\" % ind\n return self._sheets.index(ind)\n\n def _check_col_ind_int(self, ind):\n if ind < 0:\n sheet += self.level - 1\n assert 0 <= ind < self.level, \"'%s' is not exist.\" % ind\n return ind\n\n def _check_sheet_new_name(self, new_name):\n new_name = str(new_name)\n if not new_name:\n return self._check_sheet_new_name('sheet_%d' % len(self._sheets))\n\n if new_name not in self._sheets:\n return new_name\n return auto_plus_one(self._sheets, new_name)\n\n def _check_sheet_index_slice(self, i, j):\n if is_str(i) or is_str(j):\n if i is not None:\n i = self._check_col_ind_str(i)\n if j is not None:\n j = self._check_col_ind_int(j)\n i = self._check_col_ind_int(i) + 1\n j = self._check_col_ind_int(j) + 1\n return range(len(self._sheets))[slice(i, j)]\n\n def _check_sheet_index(self, sheet):\n '''return a list of sheet indexes'''\n if sheet is None:\n return range(len(self._data))\n\n if is_str(sheet):\n return [self._check_col_ind_str(sheet)]\n \n if isinstance(sheet, slice):\n return self._check_sheet_index_slice(sheet.start, sheet.stop)\n \n if isinstance(sheet, int):\n return [self._check_col_ind_int(sheet)]\n\n if isinstance(sheet, (list, tuple)):\n return [self._check_sheet_index(_) for _ in sheet]\n\n def __getstate__(self):\n toreturn = self.__dict__.copy()\n for key in toreturn:\n if key not in ('_data', '_sheets', '_types'):\n del toreturn[key]\n return toreturn\n\n def __setstate__(self, arg):\n self._data = arg['_data']\n self._sheets = arg['_sheets']\n self._types = arg['_types']\n\n def __contains__(self, e):\n '''__contains__(e) -> e in DataSet\n\n Determind that weather the object is a sheet name inside.\n '''\n if isinstance(e, str):\n return e in self._sheets\n return any([e == data for data in self._data])\n\n def __repr__(self):\n if len(self._data) == 0:\n return 'empty DataSet object'\n \n reprs = ''\n for i, data in enumerate(self._data):\n reprs += 'sheet:' + self._sheets[i] + '\\n'\n reprs += '=' * (len(self._sheets[i]) + 6) + '\\n'\n reprs += data.__repr__() + '\\n\\n'\n return reprs[:-2]\n \n def __len__(self): \n if len(self._data) == 1:\n if hasattr(self._data[0], 'shape'):\n return self._data[0].shape[0]\n return len(self._data[0])\n return len(self._data)\n \n def __getitem__(self, key):\n if len(self._data) == 1 and (key not in self._sheets):\n return DataSet(self._data[0][key], self._sheets[0])\n\n if isinstance(key, slice):\n return self.__getslice__(key.start, key.stop)\n\n def __getslice__(self, i, j):\n return DataSet([_[i:j] for _ in self._data], self._sheets)\n\n def __setitem__(self, key, val):\n if len(self._data) == 1 and key not in self._sheets:\n self._data[0].__setitem__(key, val)\n return\n \n if is_str(key):\n if isinstance(val, DataSet):\n for src, title in zip(val._data, val._sheets):\n self._data.append(src)\n self._types.append(type(src))\n new_key = '%s_%s' % (key, title)\n self._sheets.append(self._check_sheet_new_name(new_key))\n return \n\n if key not in self._sheets:\n self._data.append(val)\n self._types.append(type(val))\n self._sheets.append(self._check_sheet_new_name(key))\n return\n \n if key in self._sheets:\n key = self._sheets.index(key)\n self._data[key] = val\n self._types[key] = val\n return\n\n if isinstance(key, int):\n assert abs(key) <= len(self._data), 'set index out of range'\n self._data[key] = val\n self._types[key] = type(val)\n\n def __delslice__(self, start, stop):\n if start not in self._sheets and stop not in self._sheets:\n for data in self._data:\n del data[start: stop]\n return\n \n start, stop = self._slice2int(start, stop)\n del self._data[start: stop + 1]\n\n def __delitem__(self, key):\n if isinstance(key, slice):\n self.__delslice__(key.start, key.stop)\n\n elif key in self._sheets:\n index = self._sheets.index(key)\n del self._sheets[index], self._data[index], self._types[index]\n\n elif isinstance(key, tuple):\n for obj in key:\n self.__delitem__(obj)\n\n else:\n for data in self._data:\n data.__delitem__(key)\n\n def __iter__(self):\n if len(self._data) == 1:\n for item in self._data[0]:\n yield item\n else:\n for item in self._data:\n yield item\n \n def __reversed__(self):\n if len(self._data) == 1:\n self._data[0].reverse()\n else:\n self._data.reverse()\n \n def _add(self, item, name):\n if isinstance(item, DataSet):\n name = '' if not name else name + '_'\n new_sheets = [self._check_sheet_new_name(name + new) \\\n for new in item.sheets]\n self._data.extend(item._data)\n self._sheets.extend(new_sheets)\n self._types.extend(item._types)\n \n else:\n self._data.append(item)\n self._types.append(type(item))\n self._sheets.append(self._check_sheet_new_name(name))\n\n @timer\n def add(self, items, names=None):\n ''' add a new sheet to the current dataset\n\n Parameter\n ---------\n item : object\n the new sheet object\n\n name : str or None ( default=None)\n the new sheet name\n\n Example\n -------\n >>> import DaPy as dp\n >>> data2 = dp.DataSet([[1, 1, 1], [1, 1, 1]])\n >>> data2\n sheet:sheet0\n ============\n Col_0 | Col_1 | Col_2\n -------+-------+-------\n 1 | 1 | 1 \n 1 | 1 | 1 \n >>> data.add(data2)\n >>> data\n sheet:sheet0\n ============\n Col_0: <1, 2>\n Col_1: <2, 3>\n Col_2: <3, 4>\n\n sheet:sheet0\n ============\n Col_0 | Col_1 | Col_2\n -------+-------+-------\n 1 | 1 | 1 \n 1 | 1 | 1 \n '''\n if not is_seq(items):\n items = (items,)\n if not is_seq(names):\n names = (names,)\n for item, name in zip(items, names):\n self._add(item, name)\n\n @timer\n @operater\n def apply(self, func, col=None, axis=0, *args, **kwrds):\n pass\n \n @timer\n @operater\n def append_row(self, item):\n pass\n\n @timer\n @operater\n def append_col(self, series, variable_name=None):\n pass\n\n @timer \n @operater\n def corr(self, method='pearson', col=None):\n pass\n\n @timer\n @operater\n def count(self, value, col=None, row=None):\n pass\n\n @timer\n @operater\n def copy(self):\n pass\n\n @timer\n @operater\n def count_values(self, col=None):\n pass\n \n @timer\n @operater\n def set_index(self, column):\n pass\n \n @timer\n @operater\n def get(self, key, default):\n pass\n\n def get_tables(self, cols=None):\n key = self._check_sheet_index(cols)\n title = [self._sheets[_] for _ in key]\n src = [self._data[_] for _ in key]\n return DataSet(src, title)\n\n @timer\n @operater\n def get_best_features(self, method='variance', X=None, Y=None, top_k=1, inplace=False):\n pass\n\n @timer\n @operater\n def get_categories(self, cols, cut_points, group_name, boundary=(False, True), inplace=False):\n pass\n \n @timer\n @operater\n def get_date_label(self, cols, daytime=True,\n weekend=True, season=True, inplace=False):\n pass\n \n @timer\n @operater\n def get_interactions(self, n_power=3, cols=None, inplace=False):\n pass\n\n @timer\n @operater\n def get_ranks(self, cols=None, duplicate='mean', inplace=False):\n pass\n\n @timer\n @operater\n def get_dummies(self, col=None, value=1, inplace=False):\n pass\n\n @timer\n @operater\n def get_nan_instrument(cols=None, inplace=False):\n pass\n\n @timer\n @operater\n def get_numeric_label(self, cols=None, inplace=False):\n pass\n \n @timer\n @operater\n def groupby(self, keys, func=None, apply_col=None, unapply_col=None):\n pass\n \n @timer\n @operater\n def insert_row(self, index, item):\n pass\n\n @timer\n @operater\n def insert_col(self, index, series, variable_name=None):\n pass \n\n @timer\n @operater\n def dropna(self, axis=0, how='any', inplace=False):\n pass\n\n @timer\n @operater\n def select(self, where, col=None, limit=1000):\n pass\n\n @timer\n @operater\n def pop(self, index=-1, aixs=0):\n pass\n\n @timer\n @operater\n def pop_row(self, index=-1):\n pass\n\n @timer\n @operater\n def pop_col(self, col='all'):\n pass\n\n @timer\n @operater\n def query(self, expression, col=None, limit=1000):\n pass\n\n @timer\n @operater\n def extend(self, other):\n pass\n \n @timer \n @operater \n def join(self, other):\n pass\n\n @timer \n @operater \n def normalized(self, process='NORMAL', col=None, **kwrds):\n pass\n\n @timer\n @operater\n def map(self, func, cols=None, inplace=False):\n pass\n\n @timer\n @operater\n def merge(self, other, self_key=0, other_key=0, keep_key=True, keep_same=True):\n pass\n\n @timer\n @operater\n def drop(self, index=-1, axis=0, inplace=False):\n pass\n\n @timer\n @operater\n def drop_row(self, index=-1, axis=0, inplace=False):\n pass\n\n @timer\n @operater\n def drop_col(self, index=-1, axis=0, inplace=False):\n pass\n\n @timer\n @operater\n def fillna(self, fill_with=None, col=None, method=None, limit=None):\n pass\n \n @timer\n def read(self, addr, dtype='col', **kwrd):\n '''This function could be used with loading data from a file and\n transform it into one of DaPy data structure.\n\n Parameters\n ----------\n addr : str\n the address of data file or a statement like: \n \"mysql://[username]:[password]@[server_ip]:[server_port]/[database_name]/[table1]/[table2]...\"\n to access a mysql database. Attention, if `table` keyword is missing \n in this address, all records will be loaded.\n\n ftype : str (default=None)\n the file type of this address\n `None` -> automtotally analysis the file type\n \"web\" -> a website address, it will use requests.get to load the website\n then use bs4.BeautifulSoup to find tag in the file.\n \"html\" -> a local html file\n \"db\" -> SQLite3 database file\n \"sav\" -> SPSS data file\n \"xls\" -> Excel data file\n \"csv\" -> Text file with ',' as delimeters\n \"txt\" -> Text file with ' ' as delimeters\n \"pkl\" -> Python pickle file\n \"sql\" -> MySQL database commands file\n \"mysql\" -> MySQL database Server\n\n sheet_name : str (default=None)\n the sheet name of new table.\n\n miss_symbol : str or str in list (default=['?', '??', '', ' ', 'NA', 'None'])\n the miss value symbol in this data file.\n\n nan : value (default=nan)\n the miss value symbol in your new data set.\n\n first_line : int (default=1)\n the first line which includes data values in this file.\n\n title_line : int (default=0)\n the line which includes your data's column names.\n tip: if there is no title in your data, used -1 represented,\n and, it will automatic create it.\n\n sep : str (default=\",\")\n the delimiter symbol inside.\n\n dtypes : type name in str or dict of columns (default=None):\n DaPy autometally transfers str source text into the most\n suitable data type in efficiency. However, some of process costs\n long time. For example, \"2018-1-1\" is a datetime label and\n DaPy spends a long time time to transfer this label into datetime.\n Thus, in some cases, you don't need it in datetime, so just set this column\n type into \"str\" to save time. The supported data types are \"int\",\n \"float\", \"str\", \"datetime\" and \"bool\".\n use this keyword as following samples\n >>> read(\"addr.csv\", dtypes={'A_col': int, 'B_col': float})\n >>> read(\"addr.csv\", dtypes=\"float\")\n >>> read(\"addr.csv\", dtypes=[\"float\", \"int\"])\n\n Examples\n --------\n >>> import DaPy as dp\n >>> data = dp.read('your_data_file.csv')\n >>> data.read('another_data_file.xlsx')\n '''\n nan = kwrd.get('nan', float('nan'))\n sheet_name = kwrd.get('sheet_name', None)\n miss_symbol = kwrd.get('miss_symbol', set(['?', '??', '', ' ', 'NA', 'None']))\n fpath, fname, fbase, ftype = parse_addr(addr)\n ftype = kwrd.get('ftype', ftype)\n assert ftype in ('web', 'html', 'htm', 'db', 'sav', 'xls', 'xlsx', 'csv', 'txt', 'pkl', 'sql', 'mysql')\n if ftype not in ('web', 'html', 'htm', 'mysql') and not isfile(addr):\n raise IOError('can not find the target file or auto analysis data source type failed')\n if sheet_name is None:\n sheet_name = fbase\n\n if ftype == 'db':\n try:\n import sqlite3 as sql3\n except ImportError:\n raise ImportError('DaPy uses \"sqlite3\" to access a database local file.')\n \n with sql3.connect(addr) as conn:\n cur = conn.cursor()\n for sheet, name in parse_db(cur, dtype, nan):\n self._add(sheet, name)\n\n elif ftype == 'sav':\n try:\n import savReaderWriter\n except ImportError:\n raise ImportError('DaPy uses \"savReaderWriter\" to open a .sav file, '+\\\n 'please try command: pip install savReaderWriter.')\n with savReaderWriter.SavReader(addr) as reader:\n self._add(parse_sav(reader, dtype, nan), sheet_name)\n \n elif ftype == 'xls' or ftype == 'xlsx':\n first_line = kwrd.get('first_line', 1)\n title_line = kwrd.get('title_line', 0)\n for sheet, name in parse_excel(dtype, addr, first_line, title_line, nan):\n self._add(sheet, name)\n\n elif ftype in ('txt', 'csv'):\n kwrd['sep'] = kwrd.get('sep', {'csv':',', 'txt':'\\t'}[ftype])\n dtype_dic = {'COL': SeriesSet, 'SERIESSET': SeriesSet, \n 'MATRIX': Matrix, 'MAT': Matrix}\n dtype = dtype_dic.get(dtype.upper(), SeriesSet)\n self._add(dtype.from_file(addr, **kwrd), sheet_name)\n\n elif ftype == 'pkl':\n self._add(pickle.load(open(addr, 'rb')), sheet_name)\n\n elif ftype in ('html', 'htm', 'web'):\n if ftype == 'web':\n try:\n from requests import get\n except ImportError:\n raise ImportError('DaPy uses \"reqeusts\" to load a website.')\n else:\n text = get(addr).text\n else:\n with open(addr) as doc:\n text = doc.read()\n\n assert ' in the html file.'\n for sheet, name in parse_html(text, dtype, miss_symbol, nan, sheet_name):\n self._add(sheet, name)\n return self\n \n elif ftype == 'mysql':\n user, psd = fpath.split(':')\n host, port = fbase.split(':')\n try:\n import pymysql as sql\n except ImportError:\n try:\n import MySQLdb as sql\n except ImportError:\n raise ImportError('DaPy uses \"pymysql\" or \"MySQLdb\" libraries to access a database server.')\n \n with sql.connect(host=host, port=int(port), user=user, passwd=psd, db=fname[0], charset='utf8') as cur:\n for sheet, name in parse_mysql_server(cur, fname):\n self._add(sheet, name)\n \n elif ftype == 'sql':\n with open(addr) as doc:\n for sheet, name in parse_sql(doc, nan):\n self._add(sheet, name)\n return self\n\n else:\n raise ValueError('DaPy singly supports file types as'+\\\n '(xls, xlsx, csv, txt, pkl, db, sav, html, htm).')\n\n @timer\n @operater\n def reshape(self, nshape):\n pass\n\n @timer\n def reverse(self, axis='sheet'):\n '''Reverse your data set or records.\n\n Parameters\n ----------\n axis : str (default='sheet')\n settle down reverse sheets or records in each sheet.\n\n Example\n -------\n >>> import DaPy as dp\n >>> data = dp.DataSet([[1,2,3,4],\n [2,3,4,5],\n [3,4,5,6],\n [4,5,6,7],\n [5,6,7,8]])\n >>> data.tocol()\n >>> data.reverse()\n '''\n if axis.upper() == 'SHEET':\n self._data.reverse()\n self._sheets.reverse()\n self._types.reverse()\n return\n\n if axis.upper() == 'RECORD':\n for data in self._data:\n if hasattr(data, 'reverse'):\n data.reverse(axis)\n return\n\n raise AttributeError('axis should be \"sheet\" or \"record\"')\n\n @timer\n @operater\n def replace(self, old, new, col=None, regex=False, sheet=None):\n pass\n\n @timer\n @operater\n def shuffle(self):\n pass\n\n @timer\n @operater\n def sort(self, *orders):\n pass\n\n @timer\n def save(self, addr, **kwrds):\n '''Save the DataSet to a file.\n\n Parameters\n ----------\n addr : str\n the output file address.\n\n encode : str (default='utf-8')\n saving the file in such code type\n\n ftype : str\n the file type you want to save as. Use the file type in\n your address as default. For example, 'data.save(\"test.csv\")'\n means save this object into .csv type. DaPy supports\n following file types since V1.5.1:\n .csv, .txt, .xls, .pkl, .db, .html\n\n newline : str (default='\\n')\n use this simble to mark change line.\n\n delimiter : str (default=',')\n use this simble to seperate a records.\n\n if_exists : str (default='fail')\n when saving the data into a exist database file, how to face the\n delimma that the sheet name has been existed in the database.\n 'fail' -> raise an error;\n 'replace' -> replace the exist table with current data;\n 'append' -> append these records to the exist sheet\n '\n '''\n fpath, fname, fbase, ftype = parse_addr(addr)\n encode = kwrds.get('encode', 'utf-8')\n ftype = kwrds.get('ftype', ftype)\n\n if ftype in ('csv', 'txt'):\n newline = kwrds.get('newline', '\\n')\n delimiter = kwrds.get('delimiter', ',')\n para = dict(mode='w', buffering=2048)\n if PYTHON3:\n para['encoding'] = encode\n para['file'] = addr\n else:\n para['name'] = addr\n\n for data, sheet in zip(self._data, self._sheets):\n if data is None:\n continue\n if len(self._data) > 1:\n addr = fpath + fbase + '_' + sheet + '.' + ftype\n f = open(**para)\n try:\n write_txt(f, data, newline, delimiter)\n finally:\n f.close()\n\n elif ftype in ('xls', 'xlsx'):\n try:\n import xlwt\n except ImportError:\n raise ImportError('DaPy uses xlwt library to save a `xls/xlsx` file.')\n\n workbook = xlwt.Workbook(encoding=encode)\n for sheet, data in zip(self._sheets, self._data):\n if not data:\n continue\n worksheet = workbook.add_sheet(sheet)\n write_xls(worksheet, data)\n workbook.save(addr)\n\n elif ftype == 'pkl':\n pickle.dump(self, open(addr, 'wb'))\n \n elif ftype == 'db':\n import sqlite3 as sql\n with sql.connect(addr) as conn:\n for data, sheet in zip(self._data, self._sheets):\n write_db(conn.cursor(), sheet, data, kwrds.get('if_exists', 'fail'), 'sqlite3')\n\n elif ftype == 'html':\n with open(addr, 'w') as f:\n for data, sheet in zip(self._data, self._sheets):\n if not data:\n continue\n f.write('
' % sheet)\n write_html(f, data)\n f.write('
')\n \n elif ftype == 'sql':\n with open(addr, 'w') as doc:\n for name, sheet in zip(self._sheets, self._data):\n write_sql(doc, sheet, name)\n \n elif ftype == 'mysql':\n try:\n import pymysql as sql\n except ImportError:\n try:\n import MySQLdb as sql\n except ImportError:\n raise ImportError('DaPy uses \"pymysql\" or \"MySQLdb\" libraries to access a database server.')\n user, psd = fpath.split(':')\n host, port = fbase.split(':')\n with sql.connect(host=host, port=int(port), user=user, passwd=psd, db=fname[0], charset='utf8') as conn:\n for data, sheet in zip(self._data, self._sheets):\n write_db(conn, sheet, data, kwrds.get('if_exists', 'fail'), 'mysql')\n\n else:\n raise ValueError('unrecognized file type')\n \n @timer\n @operater\n def todict(self):\n pass\n\n @timer\n def tocol(self):\n '''Transform all of the stored data structure to DaPy.SeriesSet\n '''\n for i, data in enumerate(self._data):\n if isinstance(data, SeriesSet):\n continue\n try:\n if hasattr(data, 'columns'):\n if hasattr(data, 'miss_symbol'):\n self._data[i] = SeriesSet(data, list(data.columns),\n miss_value=data.miss_symbol)\n else:\n self._data[i] = SeriesSet(data, data.columns)\n else:\n self._data[i] = SeriesSet(data)\n except Exception as e:\n LogErr('sheet[%s] can not transform to SeriesSet, ' % self._sheets[i] +\\\n 'because: %s' % e)\n self._types[i] = SeriesSet\n\n @timer\n def tomat(self):\n '''Transform all of the stored data structure to DaPy.Matrix\n '''\n for i, data in enumerate(self._data):\n if isinstance(data, Matrix):\n continue\n\n try:\n self._data[i] = Matrix(data)\n except:\n LogErr('sheet:%s can not transform to Matrix.'%self._sheets[i])\n self._types[i] = Matrix\n \n @timer\n @operater\n def tolist(self):\n pass\n\n @timer\n @operater\n def toarray(self):\n pass\n\n def show(self, max_lines=None, max_display=75, max_col_size=25, multi_line=True):\n '''show(lines=None) -> None\n\n See Also\n --------\n DaPy.SeriesSet.show\n '''\n for i, data in enumerate(self._data):\n print('sheet:' + self._sheets[i])\n print('=' * (len(self._sheets[i]) + 6))\n if hasattr(data, 'show'):\n data.show(max_lines, max_display, max_col_size, multi_line)\n else:\n pprint(data.__repr__())\n\nif __name__ == '__main__':\n from doctest import testmod\n testmod()\n" }, { "path": "DaPy/core/__init__.py", "content": "from .base import SeriesSet, Frame, Matrix, Series\nfrom .base import is_seq, is_iter, is_math, is_value, is_str, argsort\nfrom .base import range, filter, map, zip, xrange\nfrom .base import LogInfo, LogWarn, LogErr\nfrom .base import nan, inf\nfrom .DataSet import DataSet, SHOW_LOG\n" }, { "path": "DaPy/core/base/BaseSheet.py", "content": "from collections import Counter, defaultdict\nfrom copy import copy\nfrom itertools import chain, combinations, repeat\nfrom operator import eq, ge, gt, itemgetter, le, lt\nfrom random import shuffle as shuffles\nfrom re import compile as re_compile\nfrom re import findall, sub\n\nfrom .constant import (DUPLICATE_KEEP, PYTHON2, PYTHON3, SHEET_DIM, STR_TYPE,\n VALUE_TYPE)\nfrom .constant import nan as NaN\nfrom .DapyObject import Object\nfrom .IndexArray import SortedIndex\nfrom .Row import Row\nfrom .Series import Series\nfrom .utils import (argsort, auto_plus_one, auto_str2value, count_nan,\n fast_str2value, hash_sort, is_dict, is_empty, is_iter,\n is_math, is_seq, is_str, is_value, isnan, range, split,\n str2date, strip, xrange, zip_longest, string_align)\nfrom .utils.utils_str_patterns import *\nfrom .utils.utils_join_table import inner_join, left_join, outer_join\nfrom .utils.utils_regression import simple_linear_reg\n\n\nLOCK_ERROR = 'sheet is locked by indexes, See drop_index()'\ndef where_by_index_combine(rows, symbols):\n '''put all rows together'''\n final_rows = set(rows[0])\n for row, comb in zip(rows[1:], symbols):\n if comb.strip() == 'and':\n final_rows = final_rows & row\n else:\n final_rows = final_rows | row\n return final_rows\n\n\nclass BaseSheet(Object):\n '''The base sheet structure for user to handle 2D data structure\n\n Attributes\n ----------\n shape : namedtuple(Ln, Col)\n a two dimensional span of this sheet.\n\n nan : value (default=Nan)\n a symbol represented miss value in current seriesset.\n\n columns : str in list\n names for each feature\n\n data : dict / list in list\n an object contains all the data by columns or row.\n\n missing : int in list\n number of missing value in each column.\n\n indexes : SortedIndex in dict\n a dict stored all indexes\n ''' \n def __init__(self, obj=None, columns=None, nan=NaN):\n Object.__init__(self)\n self._missing = []\n self.nan = nan\n self._sorted_index = {}\n\n if hasattr(obj, 'values') and not callable(obj.values):\n # Pandas DataFrame -> Numpy array\n columns = obj.columns\n obj = obj.values \n\n if isinstance(obj, BaseSheet): \n if is_dict(self.data):\n # initialize from a SeriesSet\n self._init_col(obj, columns)\n else:\n # initialize from a DataFrame\n self._init_frame(obj, columns)\n\n elif obj is None or is_empty(obj): \n # initialize an empty sheet\n self._dim, self._columns = SHEET_DIM(0, 0), []\n if columns is not None:\n if is_str(columns):\n columns = [columns, ]\n for name in columns:\n self._append_col([], name)\n\n elif is_dict(obj): \n # initialize from a dict\n self._init_dict(obj, columns)\n\n elif isinstance(obj, Series) or \\\n (is_seq(obj) and all(map(is_value, obj))):\n # initialize from a single series\n self._init_like_seq(obj, columns)\n\n elif is_seq(obj) and all(map(is_iter, obj)):\n # initialize from array-like object\n self._init_like_table(obj, columns)\n\n elif is_iter(obj): \n # initialie from an iterator object\n self._init_like_iter(obj, columns)\n\n else:\n raise TypeError(\"sheet don't support %s\" % type(obj))\n\n @property\n def data(self):\n '''self.data -> source container of the data'''\n return self._data\n\n @property\n def shape(self):\n '''self.shape -> numbers of rows and columns in tuple'''\n return self._dim\n\n @property\n def columns(self):\n '''self.columns -> copy of the columns in the sheet'''\n return copy(self._columns)\n\n @columns.setter\n def columns(self, item):\n '''self.columns = ['A', 'B'] -> setting columns of sheet'''\n if self.shape.Col == 0 and item != []:\n self._dim = SHEET_DIM(0, len(item))\n self._missing = [0] * len(item)\n old_col = item\n\n old_col = self.columns\n self._init_col_name(item)\n for old, new in zip_longest(old_col, self.columns):\n seq = self.data.get(old, Series())\n if old in self._data:\n del self.data[old]\n self.data[new] = seq\n\n @property\n def nan(self):\n '''self.nan -> return the symbol of missing value'''\n return self._nan\n\n @nan.setter\n def nan(self, item):\n '''self.nan = None -> change another missing value symbol'''\n assert is_value(item), 'sheet.nan must be a value'\n self._nan = item\n self._init_nan_func()\n for miss, seq in zip(self._missing, self.iter_values()):\n if miss != 0:\n for i, value in enumerate(seq):\n if self._isnan(value):\n seq[i] = item\n\n @property\n def locked(self):\n '''self.is_mutable -> bool\n check whether sheet is clock by sorted indexes or not'''\n if not self._sorted_index:\n return True\n return False\n\n def __repr__(self):\n if self._dim.Ln > 10:\n def write_line(title, blank):\n item = self[title]\n msg = ' ' * blank + title + ': <'\n msg += ', '.join([str(value) for value in item[:5]])\n msg += ', ... ,'\n msg += ', '.join([str(value) for value in item[-5:]])\n msg += '>\\n'\n return msg\n \n elif self._dim.Ln != 0:\n def write_line(title, blank):\n item = self._data[title]\n msg = ' ' * blank + title + ': <'\n msg += ', '.join([str(value) for value in item])\n msg += '>\\n'\n return msg\n else:\n return 'empty SeriesSet instant'\n\n msg = ''\n size = len(max(self._columns, key=len))\n for title in self._columns:\n msg += write_line(title, size - len(title))\n return msg[:-1]\n\n def __getattr__(self, name):\n '''self.A -> return column A'''\n if name in self._columns:\n return self.__getitem__(name)\n raise AttributeError(\"Sheet object has no attribute '%s'\" % name)\n\n def __len__(self):\n '''len(sheet) -> number of rows'''\n return self._dim.Ln\n\n def __compare_value__(self, val, empty, symbol):\n assert is_value(val), 'compare elements must be given a value'\n for title, seq in self.iter_items():\n empty._quickly_append_col(title, symbol(seq, val), 0)\n return empty\n\n def __contains__(self, cmp_):\n '''3 in sheet -> True / False'''\n if is_str(cmp_):\n return cmp_ in self._data\n\n if is_seq(cmp_):\n if len(cmp_) == self._dim.Col:\n for record in self:\n if record == cmp_:\n return True\n\n elif len(cmp_) == self._dim.Ln:\n for variable in self.iter_values():\n if variable == cmp_:\n return True\n\n if is_value(cmp_):\n for record in self:\n for value in record:\n if value == cmp_:\n return True\n return False\n\n def __delitem__(self, key):\n ok_types = tuple([STR_TYPE] + [int, list, tuple, slice])\n assert isinstance(key, ok_types), 'not allowed type \"%s\"' % type(key)\n if isinstance(key, int):\n self.drop_row(key, True)\n\n if is_str(key):\n self.drop_col(key, True)\n\n if isinstance(key, (list, tuple)):\n int_keys = list(filter(is_math, key))\n str_keys = list(filter(is_str, key))\n if str_keys != []:\n self.drop_col(str_keys, True)\n if int_keys != []:\n self.drop_row(int_keys, True)\n \n if isinstance(key, slice):\n self.__delslice__(key)\n \n def __delslice__(self, key):\n start, stop, axis = self._check_slice(key)\n if axis == 1:\n self.drop_col(self.columns[start, stop + 1], True)\n elif axis == 0:\n self.drop_col(range(start, stop), True)\n\n def __getslice__(self, start, stop, step=1):\n start, stop, axis = self._check_slice(slice(start, stop))\n if axis == 1:\n return self._getslice_col(start, stop)\n if axis == 0:\n return self._getslice_ln(start, stop, step)\n raise TypeError('bad expression as [%s:%s]' % (start, stop))\n\n def __getstate__(self):\n instance = self.__dict__.copy()\n instance['_dim'] = tuple(self._dim)\n del instance['_isnan']\n return instance\n\n def __setstate__(self, read_dict):\n '''load this object from a stream file'''\n self._dim = SHEET_DIM(*read_dict['_dim'])\n self._columns = read_dict['_columns']\n self._missing = read_dict['_missing']\n self._nan = read_dict['_nan']\n self._sorted_index = read_dict['_sorted_index']\n self._init_nan_func()\n self._data = dict((key, Series(val)) for key, val in read_dict['_data'].items())\n\n def __getitem__(self, interval):\n if isinstance(interval, int):\n return Row(self, interval)\n\n if isinstance(interval, Series):\n assert len(interval) == self.shape.Ln\n return self._iloc([i for i, val in enumerate(interval) if val is True])\n\n if isinstance(interval, (tuple, list)):\n return self._getitem_by_tuple(interval, type(self)(nan=self._nan))\n\n if isinstance(interval, slice):\n start, stop = interval.start, interval.stop\n return self.__getslice__(start, stop)\n\n if is_str(interval):\n return self._data[interval]\n\n raise TypeError('Table index must be int, str and slice, ' +\n 'not %s' % str(type(interval)).split(\"'\")[1])\n\n def __iter__(self):\n for i in xrange(self._dim.Ln):\n yield Row(self, i)\n\n def __reversed__(self):\n for i in xrange(self._dim.Ln - 1, -1, -1):\n yield Row(self, i)\n\n def __setitem__(self, key, value):\n '''sheet['Col'] = [1, 2, 3, 4] -> None'''\n error = 'only support setting record(s) or column(s)'\n if isinstance(key, int):\n bias = key + 1 - self._dim.Ln\n if bias <= 0:\n self.__delitem__(key)\n self._insert_row(key, value)\n else:\n shape = (bias - 1, self.shape.Col)\n empty = type(self).make_table(shape, self.nan, self.nan)\n empty.columns = self.columns\n self._extend(empty)\n self._append_row(value) \n\n elif is_str(key):\n if key in self._data:\n pos = self._columns.index(key)\n self.__delitem__(key)\n self._insert_col(pos, value, key)\n else:\n self._append_col(value, key)\n \n elif isinstance(key, slice):\n start, stop, axis = self._check_slice(key)\n if axis == 1:\n self._setitem_slice_col(start, stop, value)\n\n if axis == 0:\n self._setitem_slice_row(start, stop, value)\n\n elif isinstance(key, tuple):\n args, int_args, slc_args, str_args = self._analyze_keywords(key)\n if len(key) == 2 and len(int_args) == 1 and len(str_args) == 1:\n ln, col = int_args[0], str_args[0]\n self._setitem_cell(ln, col, value)\n if len(args) == len(str_args):\n if isinstance(value, BaseSheet):\n assert value.shape[1] == len(args), 'values shape donot match keys shape'\n for key, series in zip(str_args, value.iter_values()):\n self[key] = series\n else:\n raise TypeError(error)\n\n def _analyze_keywords(self, key):\n args, int_args, slc_args, str_args = [], [], [], []\n for arg in key:\n if isinstance(arg, slice):\n slc_args.append(arg)\n for value in (arg.start, arg.stop):\n if value is not None:\n args.append(value)\n elif isinstance(arg, int):\n args.append(arg)\n int_args.append(arg)\n elif is_str(arg):\n args.append(arg)\n str_args.append(arg)\n return args, int_args, slc_args, str_args\n\n def _accumulate(self, func=None, cols=None, skipna=True):\n for col in self._check_columns_index(cols):\n self[col] = seq = self[col].accumulate(func, skipna)\n index = self.columns.index(col)\n if self._missing[index] != 0:\n self._missing[index] = count_nan(self._isnan, seq)\n return self\n\n def _add_row(self, row):\n # when user just input a single value as a row\n if is_value(row):\n assert self._dim.Col != 0, 'Adding a single value into an empty sheet is illegal.'\n if self._isnan(row) is True:\n self._missing = [_ + 1 for _ in self._missing]\n self._dim = SHEET_DIM(self._dim.Ln + 1, self._dim.Col)\n return [row] * self._dim.Col\n\n # when user input a dict as a row\n row = row._asdict() if hasattr(row, '_asdict') else row\n if is_dict(row):\n row, dic_row = [row.get(col, self.nan) for col in self.columns], row\n for key, value in dic_row.items():\n if key not in self._data:\n row.append(value)\n seq = Series(repeat(self.nan, self.shape.Ln))\n self._quickly_append_col(key, seq, self.shape.Ln)\n \n # in the normal way, we first calculate the bias of length\n lenth_bias = len(row) - self._dim.Col\n if lenth_bias > 0 and self.shape.Ln == 0:\n for i in xrange(lenth_bias):\n self._append_col(Series())\n elif lenth_bias > 0:\n for _ in xrange(lenth_bias):\n series = Series(repeat(self._nan, self.shape.Ln))\n self._quickly_append_col(None, series, self.shape.Ln)\n miss, row = self._check_sequence(row, self.shape.Col)\n self._dim = SHEET_DIM(self._dim.Ln + 1, max(self._dim.Col, len(row)))\n if miss != 0:\n for i, value in enumerate(row):\n if self._isnan(value):\n self._missing[i] += 1\n return row\n\n def _append_row(self, row):\n row = self._add_row(row)\n for val, col, seq in zip(row, self.columns, self.iter_values()):\n seq.append(val)\n if col in self._sorted_index:\n self._sorted_index[col].append(val)\n\n def _append_col(self, series, variable_name=None):\n miss, series = self._check_sequence(series, self._dim.Ln)\n size = len(series)\n if size > self._dim.Ln:\n bias = size - self._dim.Ln\n for i, title in enumerate(self._columns):\n self._missing[i] += bias\n self._data[title].extend([self._nan] * bias)\n self._quickly_append_col(variable_name, series, miss)\n\n def _map(self, func, cols):\n err = 'Your are operating columns which are Index. '\n err += 'Please delete that Index at first!'\n assert all(map(lambda x: x not in self._sorted_index, cols)), err\n for name in self._check_columns_index(cols):\n self.data[name] = seq = self.data[name].map(func)\n ind = self.columns.index(seq)\n self._missing[ind] = count_nan(self._isnan, seq)\n return self\n \n def _apply(self, func, col, *args, **kwrds):\n if axis == 0:\n new_col = self._check_col_new_name(None)\n subset = self[cols]\n try:\n func(subset[0].tolist())\n subset = subset.iter_values()\n except Exception as e:\n pass\n new_seq = (func(row) for row in subset)\n self._append_col(new_seq, new_col)\n return self\n\n def _arrange_by_index(self, self_new_index=None):\n for title, sequence in self._data.items():\n self._data[title] = sequence[self_new_index]\n return self\n\n def _check_mixture_tuple(self, key):\n '''don't let user use sheet[:, 0] syntax'''\n left, right = key\n if left.start is None and left.stop is None:\n if isinstance(right, slice):\n rstart, rstop = right.start, right.stop\n maybe = (self.columns[rstart], self.columns[rstop])\n maybe += (rstart, rstop)\n raise SyntaxError('do you mean sheet' + \n '[\"%s\":\"%s\"] or sheet[%s:%s]?' % maybe)\n if isinstance(right, int):\n raise SyntaxError(\n 'do you mean sheet ' +\n '[\"%s\"] or sheet[%s]' % (self.columns[right], right))\n\n def _check_sequence(self, series, size):\n '''check the shape of the sequence and fill nan if not long enough\n\n if sequence is record, size = self.shape.Ln;\n else size = self.shape.Col\n '''\n if is_value(series):\n return 0, Series(repeat(series, size))\n\n if is_str(series) or not is_iter(series):\n series = [series]\n series = Series(series)\n if len(series) < size:\n series = chain(series, [self._nan] * (size - len(series)))\n series = Series(series)\n return count_nan(self._isnan, series), series\n\n def _check_col_new_name(self, new_name):\n if new_name is None:\n return self._check_col_new_name('C_%d' % len(self._columns))\n\n new_name = PATTERN_CHANGE_LINE.sub('', str(new_name))\n if is_str(new_name) and new_name not in self._columns:\n return new_name\n return auto_plus_one(self._columns, new_name)\n\n def _check_slice(self, slc):\n start, stop = slc.start, slc.stop\n types_1 = is_str(start) == is_str(stop)\n types_2 = is_math(start) == is_math(stop)\n types_3 = None in (start, stop)\n error = 'only support operate row or column at each time'\n assert types_1 or types_2 or types_3, error\n if isinstance(start, int) or isinstance(stop, int):\n start, stop = self._check_slice_row(start, stop)\n return start, stop, 0\n\n # is_str(start) or is_str(stop):\n start, stop = self._check_slice_col(start, stop)\n return start, stop, 1\n\n def _check_slice_row(self, start, stop):\n lenth = self.shape.Ln\n if start is None:\n start = 0\n elif start < 0:\n start += lenth\n elif start > lenth:\n start = lenth\n\n if stop is None or stop > lenth:\n stop = lenth\n elif stop < 0:\n stop += lenth\n error = 'Index [%s:%s] out of range % s' % (start, stop, lenth)\n assert 0 <= start <= lenth and 0 <= stop <= lenth, error\n return start, stop\n\n def _check_slice_col(self, start, stop):\n if start in self._columns:\n start = self._columns.index(start)\n elif start is None:\n start = 0\n else:\n raise ValueError('`%s` is not a title in this sheet' % start)\n\n if stop in self._columns:\n stop = self._columns.index(stop)\n elif stop is None:\n stop = self._dim.Col - 1\n else:\n raise ValueError('`%s` is not a title in this sheet' % stop)\n return start, stop\n\n def _check_operation_key(self, keys):\n '''transfer the string key name into itemgetter object'''\n return itemgetter(*tuple(map(self.columns.index, keys)))\n\n def _check_columns_index(self, col):\n if col is None:\n return tuple(self._columns)\n\n if is_str(col):\n error = '%s is not a title in current dataset' % col\n assert col in self._columns, error\n return (col,)\n\n if isinstance(col, int):\n if col < 0:\n col += self.shape.Col\n assert col < self.shape.Col, 'title index is out of range'\n return (self._columns[col],)\n\n if is_seq(col):\n return tuple(self._check_columns_index(_)[0] for _ in col)\n\n if isinstance(col, slice):\n start, stop, axis = self._check_slice(col)\n assert axis == 1, \"don't put a row index in here\"\n return self.columns[start, stop]\n \n def _check_rows_index(self, row):\n assert is_str(row) is False, 'row index must not be a str'\n if row is None:\n return range(self.shape.Ln)\n \n if isinstance(row, int):\n if row < 0:\n row += self.shape.Ln\n assert row < self.shape.Ln, 'row index is out of range'\n return (row,)\n\n if is_seq(row):\n return tuple(self._check_rows_index(_)[0] for _ in row)\n \n #if isinstance(row, slice):\n start, stop, axis = self._check_slice(row)\n assert axis == 0, \"don't put a column index in here\"\n return range(start, stop)\n\n def _diff(self, lag=1, cols=None):\n cols = self._check_columns_index(cols)\n for col in cols:\n seq = self[col].diff(lag)\n seq.insert(0, self.nan)\n self[col] = seq\n return self\n\n def _drop_col(self, index):\n pop_name = list(set(self._check_columns_index(index)))\n line, col = self.shape\n for title in pop_name:\n pos = self._columns.index(title)\n del self._data[title], self._missing[pos], self._columns[pos]\n if title in self._sorted_index:\n del self._sorted_index[title]\n\n col -= len(pop_name)\n if col == 0:\n line = 0\n self._dim = SHEET_DIM(line, col)\n return self\n \n def _drop_row(self, index):\n assert self.locked, LOCK_ERROR\n index = self._check_rows_index(index)\n for i, seq in enumerate(self.iter_values()):\n del seq[index]\n self._missing[i] = count_nan(self._isnan, seq)\n self._dim = SHEET_DIM(self._dim.Ln - len(index), self._dim.Col)\n return self\n \n def _extend(self, item):\n other_miss = item.missing\n for title, sequence in item.iter_items():\n miss = other_miss[title]\n if title not in self.columns:\n self._columns.append(self._check_col_new_name(title))\n self._missing.append(self._dim.Ln + miss)\n seq = Series(repeat(self._nan, self._dim.Ln))\n else:\n self._missing[self.columns.index(title)] += miss\n seq = self.data[title]\n seq.extend(sequence)\n self._data[title] = seq\n self._dim = SHEET_DIM(self.shape.Ln + item.shape.Ln, len(self._columns))\n\n for i, sequence in enumerate(self.values()):\n if len(sequence) != self._dim.Ln:\n add_miss_size = self._dim.Ln - len(sequence)\n sequence.extend(repeat(self.nan, add_miss_size))\n self._missing[i] += add_miss_size\n return self\n \n def _fillna(self, fill_with=None, col=None, method=None, limit=None):\n cols = self._check_columns_index(col)\n isnan_fun = self._isnan\n if limit is None:\n limit = self.shape.Ln\n assert limit >= 1, 'fill with at least 1 missing value, not limit=%s' % limit\n assert method in ('linear', 'polynomial', 'quadratic', None, 'mean', 'mode')\n if method is None:\n self._fillna_value(fill_with, cols, isnan_fun, limit)\n elif method == 'mean':\n for col in cols:\n mean = Series(_ for _ in self[col] if not isnan_fun(_)).mean()\n self._fillna_value(mean, [col], isnan_fun, limit)\n elif method == 'mode':\n for col in cols:\n seq = Series(_ for _ in self[col] if not isnan_fun(_))\n mode = Counter(seq).most_common()[0][0]\n self._fillna_value(mode, [col], isnan_fun, limit)\n else:\n func = simple_linear_reg\n self._fillna_simple_function(cols, isnan_fun, limit, func)\n return self\n\n def _fillna_value(self, fill_with, col, _isnan, all_limit):\n err = '`fill_with` must be a value'\n assert isinstance(fill_with, (dict,) + VALUE_TYPE), err\n if isinstance(fill_with, dict) is False:\n fill_with = dict(zip(col, repeat(fill_with)))\n\n for key, fill_val in fill_with.items():\n limit = all_limit\n key_index = self.columns.index(key)\n if key in col and self._missing[key_index] != 0:\n sequence = self[key]\n for i, val in enumerate(sequence):\n if _isnan(val) is True:\n sequence[i] = fill_val\n self._missing[key_index] -= 1\n limit -= 1\n if limit == 0:\n break\n \n def _fillna_simple_function(self, col, _isnan, all_limit, func):\n '''establish a linear model to predict the missing value\n\n This function will predict the missing value with a linear model,\n which is established by the arounding records.\n '''\n for key in col:\n limit = all_limit\n key_index = self.columns.index(key)\n if self._missing[key_index] == 0:\n continue\n\n seq = self._data[key]\n for i, value in enumerate(seq):\n if _isnan(value) is False and _isnan(seq[i + 1]) is False:\n break\n\n if i != 0:\n xlist = []\n for value in seq[i:2 * i + 1]:\n if _isnan(value) is True:\n break\n xlist.append(value)\n slope, constant = func(xlist, range(i, 2 * i + 1))\n for ind in xrange(0, i):\n seq[ind] = slope * ind + constant\n self._missing[key_index] -= 1\n limit -= 1\n if limit == 0:\n break\n\n start = None\n for stop, value in enumerate(seq):\n if limit == 0:\n break\n \n if _isnan(value) is True:\n if start is None:\n start = stop\n\n elif start is not None:\n empty_length = stop - start\n back = max(start - empty_length, 0)\n fore = min(stop + empty_length, len(seq))\n left_length = start - back + 2\n ylist = seq[back:start] + seq[stop:fore]\n xlist = range(left_length) +\\\n range(left_length + empty_length - 1,\n len(ylist) + empty_length + 1)\n\n slope, constant = func(*zip(*[\n (_x, _y) for _x, _y in zip(xlist, ylist) \\\n if _isnan(_y) is False]))\n left_length += 2\n for ind, _ in enumerate(xrange(left_length, left_length + empty_length), start):\n seq[ind] = slope * _ + constant\n self._missing[key_index] -= 1\n if limit == 0:\n break\n start = None\n\n def _flatten(self, axis):\n assert axis in (0, 1), 'axis must be 1 or 0'\n if axis == 0:\n return chain.from_iterable(self.iter_rows())\n return chain.from_iterable(self.iter_values())\n \n def _getitem_by_tuple_subcol(self, key, subset):\n '''given columns, get subset'''\n for arg in key:\n if is_str(arg):\n seq = self.data[arg]\n miss = self._missing[self._columns.index(arg)]\n subset._quickly_append_col(arg, seq, miss)\n\n elif isinstance(arg, slice):\n start, stop = self._check_slice_col(arg.start, arg.stop)\n for col in self._columns[start:stop + 1]:\n miss = self._missing[self._columns.index(col)]\n seq = self.data[col]\n subset._quickly_append_col(col, seq, miss)\n else:\n raise TypeError('bad statement as sheet[%s]' % col)\n return subset\n \n def _getitem_by_tuple_subrow(self, int_args, slc_args, subset):\n '''given rows, get subset'''\n subset = self._iloc(subset, int_args)\n for row in slc_args:\n start, stop = self._check_slice_row(row.start, row.stop)\n subset.extend(self._getslice_ln(start, stop, 1))\n return subset\n\n def _getitem_by_tuple(self, key, subset):\n '''given columns or rows, get subset'''\n if is_seq(key) and len(key) == 2 and isinstance(key[0], slice):\n self._check_mixture_tuple(key)\n\n args, int_args, slc_args = self._analyze_keywords(key)[:3]\n subcol = all(map(is_str, args))\n subrow = all(map(is_math, args))\n err = \"don't get subset with columns and rows at the \" +\\\n \"same time. Use: sheet['A':'B'][3:10] or sheet[3:10]['A':'B']\"\n assert subcol or subrow, err\n\n if subcol is True:\n return self._getitem_by_tuple_subcol(key, subset)\n return self._getitem_by_tuple_subrow(int_args, slc_args, subset)\n \n def _group_index_by_column_value(self, columns, engine=list):\n subset = defaultdict(engine)\n for i, row in enumerate(zip(*(self._data[col] for col in columns))):\n subset[row].append(i)\n return subset\n\n def _getslice_col(self, i, j):\n subset = type(self)(nan=self.nan)\n for ind, col in enumerate(self._columns[i: j + 1], i):\n subset._quickly_append_col(col, self._data[col], self._missing[ind])\n return subset\n\n def _getslice_ln(self, i, j, k):\n subset = type(self)(nan=self.nan)\n for miss, col in zip(self._missing, self._columns):\n seq = self._data[col][i:j:k]\n if miss != 0:\n miss = count_nan(self._isnan, seq)\n subset._quickly_append_col(col, seq, miss)\n return subset\n\n def _get(self, key, default=None):\n if is_str(key) and key in self._columns:\n return self[key]\n if isinstance(key, int):\n if key < 0:\n key += self.shape.Ln\n if key < self.shape.Ln:\n return self[key]\n return default\n\n \n def _get_best_features(self, method, X, Y, top_k):\n cols = self._check_columns_index(X)\n assert method in ('variance', 'anova')\n if isinstance(top_k, float):\n top_k = int(top_k * self.shape.Col)\n assert isinstance(top_k, int) and top_k >= 0, '`top_k` must be greater than 0'\n \n if method == 'variance':\n feature_importance = [(self[_].cv(), _) for _ in cols]\n\n if method == 'anova':\n assert Y in self.data, 'Y must be a column in this dataset'\n from DaPy.methods import ANOVA\n feature_importance = [(ANOVA(self[_, Y], Y).F, _) for _ in cols]\n\n feature_importance = filter(lambda val: not self._isnan(val[0]), feature_importance)\n feature_importance = sorted(feature_importance, reverse=True)[:top_k]\n return self[tuple(_[1] for _ in feature_importance)]\n\n def _get_categories(self, cols, cut_points, group_name, boundary):\n from DaPy.operation import get_categories\n assert any(map(self._isnan, group_name)), '%s can not be a group name' % self.nan\n cols = self._check_columns_index(cols)\n for i, (key, seq) in enumerate(self.items):\n if key in cols:\n cate = get_categories(seq, cut_points, group_name, boundary)\n self._quickly_append_col('%s_category' % col, cate, self._missing[i])\n return self\n\n def _get_date_label(self, date, col, day, weekend, season):\n if day is True:\n new = self._check_col_new_name('%s_daytime' % col)\n self[new] = date['hour']\n self.update('%s in set([23] + range(7))' % new, {new: 'latenight'})\n self.update('%s in set(range(7, 11))' % new, {new: 'morning'})\n self.update('%s in set(range(11, 14))' % new, {new: 'noon'})\n self.update('%s in set(range(14, 18))' % new, {new: 'afternoon'})\n self.update('%s in set(range(18, 23))' % new, {new: 'night'})\n\n if weekend is True:\n new = self._check_col_new_name('%s_weekend' % col)\n self[new] = date['week']\n self.replace([0, 1, 2, 3, 4, 5, 6], \n [1, 0, 0, 0, 0, 0, 1], \n col=new)\n\n if season is True:\n new = self._check_col_new_name('%s_season' % col)\n self[new] = date['month']\n self.update('%s in set([3, 4, 5])' % new, {new: 'spring'})\n self.update('%s in set([6, 7, 8])' % new, {new: 'summer'})\n self.update('%s in set([9, 10, 11])' % new, {new: 'autumn'})\n self.update('%s in set([12, 1, 2])' % new, {new: 'winter'})\n\n def _get_dummies(self, cols, value=1):\n from DaPy import get_dummies\n cols = self._check_columns_index(cols)\n for title in cols:\n dummies = get_dummies(self._data[title], value, 'set')\n dummies.columns = [title + '=' + _ for _ in dummies.columns]\n self.join(dummies, inplace=True)\n return self\n\n \n def _get_interactions(self, new_features, n_power, cols):\n def combinations(arr, n):\n if n == 1:\n return [(val,) for val in arr]\n\n tup = set()\n for exist in combinations(arr, n - 1):\n for val in arr:\n tup.add(tuple(sorted(exist + (val,))))\n return tup\n\n def create_title(title, count):\n n_title = count[title]\n if n_title != 1:\n return '%s^%d' % (title, n_title)\n return title\n\n cols = self._check_columns_index(cols)\n assert isinstance(n_power, int) and n_power > 1, '`n_power` must be an integer and greater than 1'\n pairs = combinations(cols, n_power)\n\n for combine in pairs:\n count = Counter(combine)\n title, seq = create_title(combine[0], count), self[combine[0]]\n miss_values = 0\n for col in combine[1:]:\n seq *= self._data[col]\n miss_values += self[col]\n if col not in title:\n title += '*' + create_title(col, count)\n if miss_values > 0:\n miss_values = count_nan(self._isnan, seq)\n new_features._quickly_append_col(title, seq, miss_values)\n return new_features\n \n def _get_nan_instrument(self, instruments, cols):\n check_nan = self._isnan\n for col in self._check_columns_index(cols):\n seq = self[col].apply(lambda val: 1 if check_nan(val) else 0)\n instruments._quickly_append_col(col + '=NaN', seq, 0, pos=None)\n return instruments \n\n def _get_ranks(self, ranks, cols, duplicate):\n from DaPy.operation import get_ranks\n cols = self._check_columns_index(cols)\n for col in cols:\n rank_col = get_ranks(self[col], duplicate)\n ranks._quickly_append_col(rank_col, '%s_rank' % col, 0)\n return ranks\n\n \n def _get_numeric_label(self, to_return, cols):\n for col in self._check_columns_index(cols):\n labels = {}\n seq = self[col].apply(lambda val: labels.setdefault(val, len(labels)))\n to_return[col] = seq\n return labels\n\n \n def _init_col_name(self, columns):\n if is_str(columns) and self._dim.Col == 1:\n self._columns = [columns, ]\n \n elif is_str(columns) and self._dim.Col != 1:\n self._columns = [columns + '_%d' % i for i in range(self._dim.Col)]\n\n elif columns is None or str(columns).strip() == '':\n self._columns = ['C_%d' % i for i in xrange(self._dim.Col)]\n \n elif is_iter(columns) is True:\n self._columns, columns = [], list(columns)\n bias = self._dim.Col - len(columns)\n columns.extend(['C_%d' % i for i in range(bias)])\n for col in columns[:self._dim.Col]:\n self._columns.append(self._check_col_new_name(col))\n for _ in xrange(self._dim.Col - len(self._columns)):\n self._columns.append(self._check_col_new_name(None))\n else:\n raise TypeError('column names should be stored in a iterable')\n\n def _init_nan_func(self):\n if isnan(self._nan) is True:\n self._isnan = isnan\n else:\n self._isnan = lambda val: val == self._nan\n\n def _init_col(self, series, columns):\n '''initialzie from a SeriesSet\n\n Notes\n -----\n 1. This function has been added into unit test.\n '''\n if columns is None:\n columns = series.columns\n self._dim = copy(series.shape)\n self._init_col_name(columns)\n for col, seq in zip(self.columns, series.values()):\n self._data[col] = copy(seq)\n self._missing = list(series.missing)\n self.nan = series.nan\n\n def _init_dict(self, series, columns):\n '''initialize from a dict object\n\n Notes\n -----\n 1. This function has been added into unit test.\n '''\n if columns is None:\n columns = list(series.keys())\n for key, value in series.items():\n if is_value(value) is True:\n series[key] = [value]\n max_ln = max(map(len, series.values()))\n self._dim = SHEET_DIM(max_ln, len(series))\n self._init_col_name(columns)\n for col in self.columns:\n miss, sequence = self._check_sequence(series[col], self._dim.Ln)\n self._missing.append(miss)\n self._data[col] = sequence\n\n def _init_frame(self, series, columns):\n '''initialize from a Frame\n\n Notes\n -----\n 1. This function has been added into unit test.\n '''\n if columns is None:\n columns = series.columns\n self._dim = copy(series.shape)\n self._missing = list(series.missing)\n self._init_col_name(columns)\n for sequence, title in zip(zip(*series), self._columns):\n self._data[title] = Series(sequence)\n self.nan = series.nan\n\n def _init_like_seq(self, series, columns):\n '''initialize from a single sequence\n\n Notes\n -----\n 1. This function has been added into unit test.\n '''\n self._dim = SHEET_DIM(len(series), 1)\n self._init_col_name(columns)\n miss, series = self._check_sequence(series, self._dim.Ln)\n self._missing = [miss, ]\n self._data[self._columns[0]] = series\n\n def _init_like_table(self, series, columns):\n '''initialize from an array-like object\n\n Notes\n -----\n 1. This function has been added into unit test.\n '''\n lenth_col = len(max(series, key=len))\n self._dim = SHEET_DIM(len(series), lenth_col)\n self._init_col_name(columns)\n self._missing = [0] * self._dim.Col\n for j, sequence in enumerate(zip_longest(fillvalue=self.nan, *series)):\n miss, series = self._check_sequence(sequence, self._dim.Ln)\n self._missing[j] += miss\n self._data[self._columns[j]] = series\n\n def _init_like_iter(self, series, columns):\n '''initialize from an iterator'''\n data_columns = []\n self._missing = []\n for i, row in enumerate(series):\n bias = len(row) - len(data_columns)\n self._missing.extend(repeat(0, bias))\n more_col = [Series(repeat(self.nan, i)) for _ in xrange(bias)]\n data_columns.extend(more_col)\n for j, (ser, val) in enumerate(zip(data_columns, row)):\n ser.append(val)\n if self._isnan(val):\n self._missing[j] += 1\n self._dim = SHEET_DIM(len(data_columns[0]), len(data_columns))\n self._init_col_name(columns)\n self._data = dict(zip(self.columns, data_columns))\n\n def _iloc(self, subset, indexs):\n if is_seq(indexs) is False:\n indexs = tuple(indexs)\n for miss, (key, sequence) in zip(self._missing, self.iter_items()):\n seq = sequence[indexs]\n if isinstance(seq, Series) is False:\n seq = Series([seq])\n if miss != 0:\n miss = count_nan(self._isnan, seq)\n subset._quickly_append_col(key, seq, miss)\n return subset\n\n def _iter_groupby(self, keys, func=None, apply_col=None):\n def operate_subset(subset, key):\n ret = subset.apply(func, cols=apply_col, axis=1)\n for key_value, key_name in zip(key, keys):\n if key_name not in ret.columns:\n pos = self.columns.index(key_name)\n ret.insert_col(pos, key_value, key_name)\n return ret[0]\n\n keys = self._check_columns_index(keys)\n assert keys, 'must give at least 1 key column to group by'\n if len(keys) == 1 and keys[0] in self._sorted_index:\n subsets = {}\n index = self._sorted_index[keys[0]]\n for group_value in set(self._data[keys[0]]):\n subsets[(group_value,)] = index.equal(group_value)\n else:\n subsets = self._group_index_by_column_value(keys)\n\n if func is not None:\n apply_col = self._check_columns_index(apply_col)\n for keyword, rows in subsets.items():\n subset = self.iloc(rows)\n yield operate_subset(subset, keyword)\n else:\n for keyword, rows in subsets.items():\n yield keyword, self.iloc(rows)\n\n \n def _insert_row(self, index, new_row):\n new_row = self._add_row(new_row)\n for value, seq in zip(new_row, self.iter_values()):\n seq.insert(index, value)\n\n \n def _insert_col(self, index, new_series, new_name):\n miss, new_series = self._check_sequence(new_series, self._dim.Ln)\n empty_size = len(new_series) - self.shape.Ln\n if empty_size > 0:\n for i, sequence in enumerate(self.iter_values()):\n sequence.extend(repeat(self.nan, empty_size))\n self._missing[i] += empty_size\n self._quickly_append_col(new_name, new_series, miss, index)\n\n \n def _join(self, other):\n assert is_value(other) is False, 'cannot join a value to the dataset.'\n error = \"can't join empty object, given %s\" % other\n assert (hasattr(other, 'shape') and other.shape[1] != 0) or other, error\n bias = other.shape.Ln - self.shape.Ln\n if bias > 0:\n for i, title in enumerate(self._columns):\n self._data[title].extend(repeat(self.nan, bias))\n self._missing[i] += bias\n for (title, seq), miss in zip(other.iter_items(), other._missing):\n if len(seq) < self.shape.Ln or miss != 0:\n miss, seq = self._check_sequence(seq, self._dim.Ln)\n self._quickly_append_col(title, seq, miss)\n return self\n\n def _match_column_from_str(self, statement):\n sorted_column = sorted(self.columns, key=len, reverse=True)\n pattern = '|'.join([PATTERN_COLUMN % x for x in sorted_column])\n useful_col = [col.strip() for col in findall(pattern, statement)]\n return [col.replace('(', '').replace(')', '') for col in useful_col]\n\n @classmethod\n def make_table(cls, shape, fill_with=None, nan=NaN):\n table = cls(nan=nan)\n shape = table._analyze_keywords(shape)[1]\n assert len(shape) == 2, 'shape of Table object must be 2 dimensions with integers'\n ln, col = shape\n for col in range(col):\n table.append_col(Series(repeat(fill_with, ln)))\n return table \n\n def _normalized(self, process, cols):\n assert process in ('NORMAL', 'STANDAR', 'LOG', 'BOX-COX')\n cols = self._check_columns_index(cols)\n from DaPy import describe, log, boxcox\n for title in cols:\n if process in ('NORMAL', 'STANDAR'):\n statis = describe(self._data[title])\n if None in statis:\n continue\n\n if process == 'NORMAL':\n center = float(statis.Min)\n var = float(statis.Range)\n elif process == 'STANDAR':\n center = float(statis.Mean)\n var = float(statis.Sn)\n\n assert var != 0, 'range or std of `%s` is 0 ' % title\n self._map(\n lambda val: (val - center) / var,\n cols=title)\n\n elif process == 'BOX-COX':\n func = lambda val: boxcox(\n val, \n kwrds.get('lamda', 1), \n kwrds.get('a', 0),\n kwrds.get('k', 1))\n self._map(func, col=title)\n\n elif process == 'LOG':\n self._map(\n lambda val: log(val, kwrds.get('base', 2.71828183)),\n cols=title)\n return self\n\n \n def _pop_row(self, pop_data, index=-1):\n assert self.locked, LOCK_ERROR\n pop_index = self._check_rows_index(index)\n for i, (title, seq) in enumerate(self.iter_items()):\n pop_data[title] = seq.pop(pop_index)\n if self._missing[i] != 0:\n self._missing[i] -= pop_data[title].count(self._nan)\n self._dim = SHEET_DIM(self._dim.Ln - len(index), self._dim.Col)\n return pop_data\n\n \n def _pop_col(self, pop_data, col):\n pop_name = self._check_columns_index(col)\n for title in pop_name:\n pos = self._columns.index(title)\n pop_data._quickly_append_col(\n col=self._columns.pop(pos), \n seq=self._data.pop(title), \n miss=self._missing.pop(pos)\n )\n if title in self._sorted_index:\n pop_ind = self._sorted_index.pop(title)\n pop_data._sorted_index[title] = pop_ind\n self._dim = SHEET_DIM(self._dim.Ln, self._dim.Col - len(pop_name))\n return pop_data\n\n def _query(self, expression, col, limit):\n assert is_str(expression), '`expression` should be a python statement'\n select_col = self._check_columns_index(col)\n useful_col = self._match_column_from_str(expression)\n assert useful_col, \"can't match any column from `expression`\"\n if limit is None:\n limit = self.shape.Ln\n\n if all([col in self._sorted_index for col in useful_col]) is False:\n subset = self[useful_col]\n where = subset._trans_where(expression, axis=0)\n return tuple(subset._where_by_rows(where, limit)), select_col\n return sorted(self._where_by_index(expression))[:limit], select_col\n\n def _quickly_append_col(self, col, seq, miss, pos=None):\n '''append a new column to the sheet without checking'''\n col = self._check_col_new_name(col)\n if pos is None:\n pos = len(self.columns)\n self._data[col] = seq\n self._columns.insert(pos, col)\n self._missing.insert(pos, miss)\n self._dim = SHEET_DIM(len(seq), self._dim.Col + 1)\n return self\n\n def _replace(self, old, new, col, regex):\n col = self._check_columns_index(col)\n assert self._isnan(new) is False, 'transfer value cannot be NaN'\n if regex is True:\n assert is_str(old), '`where` must be str when regex=True'\n condition = re_compile(old)\n where = lambda val: condition.sub(new, val)\n\n if is_value(old) and regex is False:\n list_old = [old]\n where = lambda val: new if old == val else val\n\n if is_seq(old) and is_seq(new):\n assert len(old) == len(new), 'length of keys != length of value'\n list_old = old\n condition = dict(zip(old, new))\n where = lambda val: condition.get(val, val)\n\n for column in col:\n sequence = self.data[column]\n if column in self._sorted_index and regex is False:\n # speed up process with Index\n for old_ in list_old:\n to_replace = where(old_)\n for i in self._sorted_index.equal(old_):\n sequence[i] = to_replace\n else:\n # iter each row and compare\n for i, val in enumerate(sequence):\n sequence[i] = where(val)\n return self\n \n def _reverse(self, axis=0):\n assert axis in (0, 1)\n if axis == 1:\n self._columns.reverse()\n self._missing.reverse()\n else:\n for sequence in self._data.values():\n sequence.reverse()\n return self\n\n def _setitem_slice_row(self, start, stop, value):\n nan_num = 1 if self._isnan(value) else 0\n for i, arr in enumerate(self.iter_values()):\n block = arr[start:stop]\n lenth = len(block)\n arr[start:stop] = repeat(value, lenth)\n self._missing[i] -= count_nan(self._isnan, block)\n self._missing[i] += nan_num * lenth \n\n def _setitem_slice_col(self, start, stop, value):\n columns = self.columns[start:stop]\n err = \"number of columns don't match number of given data\"\n assert len(columns) == len(value), err\n for i, column, seq in zip(range(start, stop), columns, value):\n miss, seq = self._check_sequence(seq, self.shape.Ln)\n bias = len(seq) - self.shape.Ln\n if bias > 0:\n self._dim = SHEET_DIM(self.shape.Ln + bias, \n self.shape.Col)\n for j, (col, src_seq) in enumerate(self.iter_items()):\n if col not in columns:\n src_seq.extend(repeat(self.nan, bias))\n self._missing[j] += bias\n self._data[column] = seq\n self._missing[i] = miss\n\n def _setitem_cell(self, ln, col, val):\n if col not in self._data:\n self._append_col(Series(), col)\n if ln + 1 > self.shape.Ln:\n dtype = type(self)\n shape = (ln + 1, self.shape.Col)\n empty = dtype.make_table(shape, self.nan, self.nan)\n empty.columns = self.columns\n self._extend(empty)\n arr = self._data[col]\n if self._isnan(arr[ln]):\n self._missing[self.columns.index(col)] -= 1\n if self._isnan(val):\n self._missing[self.columns.index(col)] += 1\n arr[ln] = val\n \n def _shuffle(self):\n new_index = range(self._dim.Ln)\n shuffles(new_index)\n return self._arrange_by_index(new_index)\n\n def _show(self, col_size, rows, omit_line, max_len, omit):\n frame = u''\n for i, row in enumerate(rows):\n if i == omit_line:\n frame += ('.. Omit %d Ln ..' % omit).center(max_len) + '\\n'\n line = ''\n for size, value in zip(col_size, row):\n line += ' ' + string_align(value, size) + ' |'\n frame += line[:-1] + '\\n'\n if i == 0:\n frame += '+'.join(['-' * (_ + 2) for _ in col_size]) + '\\n'\n return frame\n\n def _sort(self, subset, *orderby):\n err = \"orderby must be a sequence of conditions like ('A_col', 'DESC')\"\n assert all(map(lambda x: (is_seq(x) and len(x) == 2)\n or is_str(x), orderby)), err\n symbols = ['ASC' if is_str(_) else str(_[1]) for _ in orderby]\n if is_str(orderby[0]):\n orderby = [(_,) for _ in orderby]\n keys = self._check_columns_index([_[0] for _ in orderby])\n\n if not (len(symbols) == 1 and isinstance(self._data, dict)):\n columns = tuple(map(self.columns.index, keys))\n temp = hash_sort(self.iter_rows(), *zip(columns, symbols))\n return type(self)(temp, self.columns)\n\n reverse = False\n if symbols[0] == 'DESC':\n reverse = True\n\n new_index = argsort(list(self.data[keys[0]]), reverse=reverse) \n for i, (key, seq) in enumerate(self.iter_items()):\n subset._quickly_append_col(key,\n seq[new_index],\n self._missing[i])\n return subset\n\n def _trans_where(self, where, axis=0):\n assert axis in (1, 0), 'axis 1 for value, 0 for sequence'\n if axis == 0:\n if where is None:\n return lambda x: True\n where = ' ' + where + ' '\n last_length = len(where)\n for i in argsort(self._columns, key=len, reverse=True):\n where = sub(self._columns[i], '___x___[%d]' % i, where)\n if last_length == len(where):\n where = \"'''%s'''\" % where.strip()\n where = 'lambda ___x___: ' + where\n\n if axis == 1:\n opeartes = {' and': 4, ' or': 3}\n for opearte, bias in opeartes.items():\n counts = where.count(opearte)\n index = 0\n for i in xrange(counts):\n index = where.index(opearte, index) + bias\n where = where[: index] + ' ___x___' + where[index:]\n index += bias\n where = 'lambda ___x___: ___x___ ' + where\n return eval(where)\n\n def _update(self, where, **set_values):\n if callable(where) is False:\n where = self._trans_where(where, axis=0)\n assert set_values, '`set_value` are empty'\n for key, exp in set_values.items():\n if callable(exp) is False:\n set_values[key] = self._trans_where(str(exp), axis=0)\n\n for index in self._where_by_rows(where, limit=self.shape.Ln):\n row = Row(self, index)\n for key, value in set_values.items():\n row[key] = value(row)\n \n def _where_by_index_bigcombine(self, combines, string):\n '''process statement like: (A > 1 and B < 2) and (C < 2)'''\n string = PATTERN_RECOMBINE.findall(string)\n symbols = [_[1:-1] for _ in string]\n rows = [self._where_by_index(''.join(_)) for _ in combines]\n return where_by_index_combine(rows, symbols)\n \n def _where_by_index_subcombine(self, subcombine, string):\n '''process statement like: A > 1 and B < 2'''\n symbols = PATTERN_AND_OR.findall(string)\n rows = [self._where_by_index(_) for _ in subcombine]\n return where_by_index_combine(rows, symbols)\n \n def _where_by_index_simple(self, column, string):\n '''process statement like: A > 1'''\n index = self._sorted_index[column]\n operater = (index.equal, index.lower, index.upper)\n\n def clear_pattern(_):\n return _.strip().replace('\"', '').replace(\"'\", '')\n\n for i, (pattern, symbol, func) in enumerate(zip(PATTERN_EQUALS,\n SIMPLE_EQUAL_PATTERN,\n operater)):\n pattern = [_ for _ in pattern.split(string) if _]\n if len(pattern) == 3:\n val = clear_pattern(pattern[2])\n val = auto_str2value(val)\n if pattern[1] == symbol:\n if i == 0:\n return set(index.unequal(val))\n return set(func(val))\n try:\n return set(func(val, False))\n except TypeError:\n pass\n try:\n return set(func(val))\n except TypeError:\n return set()\n\n pattern = [_ for _ in PATTERN_BETWEEN1.split(string) if _.strip()]\n lvalue = auto_str2value(clear_pattern(pattern[4]))\n hvalue = auto_str2value(clear_pattern(pattern[0]))\n boundary = True, True\n for i, pattern in enumerate([pattern[1], pattern[3]]):\n if pattern == '>':\n boundary[i] = False\n return set(index.between(lvalue, hvalue, boundary))\n\n def _where_by_index(self, string):\n '''select records according to the sorted index\n\n Analysis the purposes of statements, then return\n the indexes of the records which match statements.\n\n Parameters\n ----------\n substring : pythonic string statement\n you can write very complex statement like:\n eg.1 : A_col >= 3\n eg.2 : (B_col <= 2 and 3 >= D_col >= 1) or (A_col == 2 and B_col == 3)\n\n column_pattern : a compiled regex object\n used to match the column name in the value\n\n Returns\n -------\n final_rows : indexes in the list\n '''\n combines = PATTERN_COMBINE.findall(string)\n if combines:\n return self._where_by_index_bigcombine(combines, string)\n\n subcombine = PATTERN_AND_OR.split(string)\n if len(subcombine) > 1:\n return self._where_by_index_subcombine(subcombine, string)\n\n column = self._match_column_from_str(string)\n assert len(column) <= 1, 'indexes are only used in processing single column'\n assert len(column) == 1, \"can't match any column from `%s`\" % string\n column = column[0]\n assert column in self._sorted_index, \"`%s` isn't in statement `%s`\" % (column, string)\n return self._where_by_index_simple(column, string)\n\n def _where_by_rows(self, where, limit):\n assert isinstance(limit, int)\n assert callable(where), '`where` is not callable, try: Sheet.query(where)'\n \n rows = self.iter_rows\n try:\n where(tuple())\n except AttributeError:\n rows = self.__iter__\n except TypeError:\n rows = self.__iter__\n except:\n pass \n\n selected = 0\n for i, row in enumerate(rows()):\n if where(row):\n selected += 1\n yield i\n if selected == limit:\n break\n \n def todict(self):\n return dict(self.data)\n\n def tolist(self):\n '''return the data as lists in list'''\n return list(map(list, self.iter_rows()))\n\n def toarray(self):\n '''return the data as a numpy.array object'''\n try:\n from numpy import array\n except ImportError:\n raise ImportError(\"can't find numpy library\")\n return array(tuple(self.iter_rows()))\n" }, { "path": "DaPy/core/base/DapyObject.py", "content": "from threading import Lock\nfrom functools import wraps\n\n\nclass Object(object):\n '''The base object for DaPy to gurantee threading safety'''\n def __init__(self):\n self._thread_lock = None\n\n @property\n def thread_safety(self):\n if self._thread_lock is None:\n return False\n return True\n\n @thread_safety.setter\n def thread_safety(self, mode):\n assert mode in (True, False), 'setting `thread_safety` with True or False'\n if mode is True:\n if self._thread_lock is None:\n self._thread_lock = Lock()\n else:\n self._thread_lock = None\n\n @property\n def THREAD_LOCK(self):\n return self._thread_lock\n\n\ndef check_thread_locked(func):\n def locked_func(self, *args, **kwrds):\n lock = self.THREAD_LOCK\n if not lock:\n return func(self, *args, **kwrds)\n with lock:\n return func(self, *args, **kwrds)\n return locked_func\n" }, { "path": "DaPy/core/base/IndexArray.py", "content": "from collections import Sequence\nfrom itertools import chain\nfrom bisect import bisect_left, bisect_right\nfrom operator import itemgetter\nfrom .utils import is_iter, is_value, argsort\n\n\nclass SortedIndex(Sequence):\n def __init__(self, array=(), index=()):\n assert is_iter(array), '`array` in the index must be iterable'\n assert is_iter(index), '`index` in the index must be iterable'\n \n if not index:\n self._val = sorted(array)\n self._ind = list(argsort(array))\n else:\n val_ind = sorted(zip(array, index), key=itemgetter(0))\n self._val, self._ind = tuple(zip(*val_ind))\n self._val, self._ind = list(self._val), list(self._ind)\n\n def __getitem__(self, indices):\n if isinstance(indices, (slice, int)):\n return self._ind[indices], self._val[indices]\n assert IndexError('can not operate like SortedIndex[%s]' % indices)\n\n def __len__(self):\n return len(self._val)\n\n def __repr__(self):\n if len(self) > 10:\n front = ', '.join(map(str, chain(self._val[:5])))\n tail = ', '.join(map(str, chain(self._val[-5:])))\n values = '[%s, ..., %s]' % (front, tail) \n else:\n values = str(self._val)\n return 'SortedIndex(%s)' % values\n\n def append(self, value):\n '''insert a single value to the exists list\n\n This function uses binary select to locate the position,\n than insert it into the series.\n '''\n self.insert(value, len(self._ind))\n\n def between(self, low, high, boundary=(True, True), return_value=False):\n '''select values which are between [low, high] and return their index\n\n This function uses binary select to find the values which are between\n [low, high], then it will return the index of these values for you.\n\n Parameters\n ----------\n low : value\n the lower boundary\n\n high : value\n the upper boundary\n\n boundary : bool or bools in tuple (default=(True, True))\n (True, True) -> values belong to [low, high]\n (True, False) -> values belong to [low, high)\n (False, True) -> values belong to (low, high]\n (False, False) -> values belong to (low, high)\n \n Returns\n -------\n index_list : the values index of original data\n\n Examples\n --------\n >>> original = [4, 23, 31, 33, 34, 34, 21, 23, 33]\n >>> index = SortedIndex(original)\n >>> index.between(23, 33, (True, True), True)\n [23, 23, 31, 33, 33]\n >>> index.between(23, 33, (False, True), True)\n [31, 33, 33]\n >>> index.between(23, 33, (True, False), True)\n [23, 23, 31]\n >>> index.between(23, 33, (False, False), True)\n [31]\n ''' \n if boundary[0] is False:\n low_ind = bisect_right(self._val, low)\n else:\n low_ind = bisect_left(self._val, low)\n if boundary[1] is False:\n hih_ind = bisect_left(self._val, high)\n else:\n hih_ind = bisect_right(self._val, high)\n if return_value is True:\n return self._val[low_ind:hih_ind]\n return self._ind[low_ind:hih_ind]\n\n def count(self, value):\n '''count how many items euqal to `value`'''\n return len(self.equal(value))\n\n def equal(self, value):\n '''select the value which is best match given value and return the index'''\n try:\n return self._ind[self._get_item_index(value)]\n except ValueError:\n return []\n \n def insert(self, value, index):\n '''the index of new value in original sequence is `index`'''\n item_index = bisect_left(self._val, value)\n self._val.insert(item_index, value)\n self._ind.insert(item_index, index)\n\n def _get_item_index(self, value):\n '''find the index of the item of the current series'''\n item_index_l = bisect_left(self._val, value)\n item_index_r = bisect_right(self._val, value)\n if item_index_l == item_index_r:\n raise ValueError('`%s` is not in this SortedIndex' % value)\n\n if item_index_l != item_index_r - 1:\n return slice(item_index_l, item_index_r)\n return item_index_l\n\n\n def index(self, value):\n '''find the index of an exacte matched value\n\n This function uses binary select to locate the position\n of the matched value in the source index.\n\n Parameters\n ----------\n value : anything\n something you want to match with\n\n original_index : bool (default=False)\n True: return the index of the value in this row\n False: return the index of the value in the source sequence\n\n Returns\n -------\n int : the index you want to find\n\n Examples\n --------\n >>> original = [1, 1, 2, 2, 2, 3, 3]\n >>> si = SortedIndex(original)\n >>> si.index(1) # index of sorted object\n [0, 1]\n >>> si.index(2)\n [2, 3, 4]\n >>> si.index(3)\n [5, 6]\n >>> si.index(5)\n ValueError(`5` is not in the current container)\n '''\n index = self._get_item_index(value)\n if isinstance(index, slice):\n return [ind for ind in self._ind[index]]\n return [self._ind[index]]\n \n def lower(self, value, include_equal=True):\n '''find `x` which is lower than `value`, x <= value\n\n This function uses binary select to locate the positions of values which\n are less than `value`, and return their indexes of source sequence\n\n Parameters\n ----------\n value : any\n the cut point you want to match\n\n include_equal : bool (default=True)\n True -> return x <= value\n False -> return x < value\n\n Returns\n -------\n list : index in list\n '''\n if include_equal is True:\n return self._ind[:bisect_right(self._val, value)]\n return self._ind[:bisect_left(self._val, value)]\n\n def remove(self, value):\n '''remove the value from the Index\n\n It will remove all items which match the value from the Index,\n then it will change all indexes which have impacts.\n\n Parameters\n ----------\n value : any\n the value you want to remove\n\n Returns\n -------\n None\n\n Example\n -------\n >>> source = [3, 4, 2, 4, 5]\n >>> index = SortedIndex(source)\n >>> index.equal(5)\n 4\n >>> index.remove(4)\n >>> index\n SortedIndex([2, 3, 5])\n >>> index.equal(5)\n 2\n '''\n remove_index = self._get_item_index(value)\n value_index = sorted(self._ind[remove_index])\n del self._ind[remove_index], self._val[remove_index]\n self._ind = [ind - bisect_left(value_index, ind) for ind in self._ind]\n \n def upper(self, value, include_equal=True):\n '''find `x` which is greater than `value`, x >= value\n\n This function uses binary select to locate the positions of values which\n are less than `value`, and return their indexes of source sequence\n\n Parameters\n ----------\n value : any\n the cut point you want to match\n\n include_equal : bool (default=True)\n True -> return x >= value\n False -> return x > value\n\n Returns\n -------\n list : index in list\n '''\n if include_equal is True:\n return self._ind[bisect_left(self._val, value):]\n return self._ind[bisect_right(self._val, value):]\n\n def unequal(self, value):\n '''select the items which are not equal to `value`'''\n equal_index = set(self.equal(value))\n return list(set(self._ind) - equal_index)\n\nif __name__ == '__main__':\n original = [4, 23, 31, 33, 34, 34, 21, 23, 33]\n index = SortedIndex(original)\n assert index.between(23, 33, (True, True), True) == [23, 23, 31, 33, 33]\n assert index.between(23, 33, (False, True), True) == [31, 33, 33]\n assert index.between(23, 33, (True, False), True) == [23, 23, 31]\n assert index.between(23, 33, (False, False), True) == [31]\n assert index.index(23) == [1, 7]\n index.append(9)\n index.append(9)\n original.extend([9, 9])\n assert str(index), 'SortedIndex([4, 9, 9, 21, 23, ..., 31, 33, 33, 34, 34])'\n assert itemgetter(*index.lower(9, True))(original) == (4, 9, 9)\n assert itemgetter(*index.lower(9, False))(original) == 4\n assert index.equal(23) == [1, 7]\n\n index = SortedIndex(['Jackson', 'Martin', 'John', 'Alice', 'Bob', 'Baker'])\n assert index.equal('Bob') == 4\n" }, { "path": "DaPy/core/base/LinkedArray.py", "content": "from ctypes import Structure, POINTER, pointer, c_int as C_INT, byref\nfrom collections import Sequence, namedtuple\nclass intLinkedNode(Structure):\n pass\n\nintLinkedNode._fields_ = [\n ('next_', POINTER(intLinkedNode)),\n ('val', C_INT),\n ]\n\n##class LinkedArray(Structure):\n## pass\n##\n##LinkedArray._fields_ = [\n## ('root', POINTER(intLinkedNode)),\n## ('tail', POINTER(intLinkedNode)),\n## ('node', C_INT)\n## ]\n\nclass intLinkedNode(object):\n def __init__(self, next=None, val=None):\n self.next = next\n self.val = val\n\ndef _append_left(link, new_val):\n return intLinkedNode(val=new_val, next_=pointer(link))\n\ndef _show_values(link):\n current_node = link\n while bool(current_node):\n yield current_node.val\n try:\n current-node = current_node.next.contents\n except ValueError:\n break\n else:\n yield current_node.val\n\n# CFUNCTYPE(restype, *argtypes, **kwrds)\n\n\n \n##class LinkedArray(Sequence):\n## def __init__(self, iterable=None):\n## self.root = intLinkedNode(val=0)\n## self.tail = self.root\n## self.node = 0\n## \n## if iterable is not None:\n## for value in iterable:\n## self.append(value)\n##\n## def append(self, data):\n## self.tail.next = intLinkedNode(val=data) # pointer(next_node)\n## self.tail = self.tail.next\n## self.node += 1\n##\n## def __len__(self):\n## return self.node\n##\n## def __getitem__(self, index):\n## assert isinstance(index, int)\n## for i, node in enumerate(self):\n## if i == index:\n## return node.val\n##\n## def __iter__(self):\n## current_node = self.root.next# .contents\n## while bool(current_node):\n## yield current_node.val\n## try:\n## current_node = current_node.next# .contents\n## except ValueError:\n## break\n## else:\n## yield current_node.val\n\nif __name__ == '__main__':\n from random import randint\n linked = LinkedArray()\n\n for i in range(10):\n linked.append(randint(10, 20))\n \n print 'Iter:', [val for val in linked]\n print 'Length:', len(linked)\n" }, { "path": "DaPy/core/base/Matrix.py", "content": "from array import array\nfrom collections import deque, namedtuple\nfrom copy import copy, deepcopy\nfrom csv import reader\nfrom itertools import chain\nfrom operator import itemgetter\nfrom random import random\n\nfrom .constant import SEQ_TYPE\nfrom .utils import is_iter, is_math, is_seq\nfrom .utils import filter, map, range, str2float, xrange, zip\n\n__all__ = ['Matrix']\n\nclass Matrix(object):\n\n dims = namedtuple('Matrix', ['Ln', 'Col'])\n\n def __init__(self, table=None):\n \n if is_iter(table) and not isinstance(table, str):\n self._init_unknow_type(table=table)\n \n elif isinstance(table, Matrix):\n self._matrix = copy(table)\n self._dim = copy(table._dim)\n\n elif table is None:\n self._matrix = list()\n self._dim = Matrix.dims(0, 0)\n \n else:\n raise TypeError('can not transform %s to DaPy.Matrix' % type(table))\n @property\n def src(self):\n return self._matrix\n\n @property\n def shape(self):\n return self._dim\n\n @property\n def T(self):\n new_mat = Matrix()\n new_mat._matrix = [list(line) for line in zip(*self._matrix)]\n new_mat._dim = Matrix.dims(self.shape.Col, self.shape.Ln)\n return new_mat\n\n @property\n def I(self):\n '''calculating the invert matrix\n\n Reference\n ---------\n 1. Bin Luo. (2015). The Implement of Matrix with Python.\n from http://www.cnblogs.com/hhh5460/p/4314231.html\n '''\n assert self._dim.Ln == self._dim.Col, 'can not invert a non-sqrt matrix.'\n if self._dim.Ln == 1:\n return Matrix(self)\n \n D = self.D\n assert D != 0, 'Singular matrix can not calculating the invert matrix.'\n if self._dim.Ln == 2:\n a, b = self[0]\n c, d = self[1]\n v = float(a * d - b * c)\n return Matrix([[d / v, -b / v], [-c / v, a / v]])\n \n new_mat = Matrix()\n new_mat._dim = self._dim\n new_mat._matrix = [[(-1) ** (i+j+1) * self._get_cofactor(j, i).D / D for j in xrange(self._dim.Col)] for i in xrange(self._dim.Ln)]\n return new_mat\n\n @property\n def D(self):\n assert self._dim.Ln == self._dim.Col, 'can not determinant a non-sqrt matrix.'\n if self._dim.Ln == 2:\n return self._matrix[0][0] * self._matrix[1][1] - \\\n self._matrix[0][1] * self._matrix[1][0]\n return float(sum([(-1)**(1+j) * self[0][j] * self._get_cofactor(0, j).D for j in xrange(self._dim.Ln)]))\n\n def __repr__(self):\n temporary_series = [list()] * self._dim.Col\n if self._dim.Ln > 20:\n temporary_Frame = self._matrix[:10]\n temporary_Frame.extend(self._matrix[-10:])\n else:\n temporary_Frame = self._matrix\n \n for line in temporary_Frame:\n for i, value in enumerate(line):\n temporary_series[i].append(str(value))\n column_size = [len(max(col, key=len)) for col in temporary_series]\n\n frame = u'\\u250F' + u' ' * (sum(column_size) + len(column_size) - 1) +\\\n u'\\u2513' + u'\\n'\n \n if self._dim.Ln > 20:\n for i, item in enumerate(temporary_Frame[1:10]):\n line = u'\\u2503'\n for i, value in enumerate(item):\n line += str(value).center(column_size[i]) + u' '\n frame += line[:-1] + u'\\u2503' + u'\\n'\n frame += u'\\u2503'\n frame += (u'Omit %d Ln' % (self._dim.Ln - 20)).center(sum(column_size) + len(column_size) - 1)\n frame += u'\\u2503' + u'\\n'\n for item in temporary_Frame[-10:]:\n line = u'\\u2503'\n for i, value in enumerate(item):\n line += str(value).center(column_size[i]) + u' '\n frame += line[:-1] + u'\\u2503' + u'\\n'\n \n else:\n for i, item in enumerate(temporary_Frame):\n line = u'\\u2503'\n for i, value in enumerate(item):\n line += str(value).center(column_size[i]) + u' '\n frame += line[:-1] + u'\\u2503' + u'\\n'\n frame += u'\\u2517' + u' ' * (sum(column_size) + len(column_size) - 1) +\\\n u'\\u251B'\n return frame\n\n def __getstate__(self):\n instance = self.__dict__.copy()\n instance['_dim'] = tuple(self._dim)\n return instance\n\n def __setstate__(self, dict):\n self._matrix = dict['_matrix']\n self._dim = Matrix.dims(*dict['_dim'])\n \n def __contains__(self, e):\n if isinstance(e, list):\n for record in self._matrix:\n if record == e:\n return True\n return False\n\n def __len__(self):\n return self._dim.Ln\n\n def __eq__(self, other):\n if hasattr(other, 'shape') and other.shape != self._dim:\n return False\n \n elif len(other) != self._dim.Ln or len(other[0]) != self._dim.Col:\n return False\n \n try:\n size_col = range(self._dim.Col)\n for i in range(self._dim.Ln):\n for j in size_col:\n if self._matrix[i][j] != other[i][j]:\n return False\n except:\n return False\n else:\n return True\n\n def __getitem__(self, pos):\n if isinstance(pos, (slice, int)):\n return copy(self._matrix[pos])\n \n if isinstance(pos, tuple):\n assert len(pos) == 2, 'too many indices for array.'\n return Matrix([record[pos[1]] for record in self._matrix[pos[0]]])\n\n def __setitem__(self, pos, value):\n if isinstance(pos, tuple):\n warn = 'position must be like mat[i, j], not mat[%s]' % (pos,)\n assert isinstance(pos[0], (type(None), int, slice)), warn\n assert isinstance(pos[1], (type(None), int, slice)), warn\n assert is_math(value), 'the value in the matrix must be a number.'\n self._matrix[pos[0]][pos[1]] = value\n\n elif isinstance(pos, int):\n assert abs(pos) <= self.shape.Ln, 'position of %d is out of range' % pos\n if is_math(value):\n self._matrix[pos] = [value] * self.shape.Col\n if is_seq(value):\n assert len(value) == self._dim.Col, 'cannot copy sequence with size %d to array axis with dimension %d' % (len(value), self.shape.Col)\n self._matrix[pos] = list(value)\n\n else:\n raise TypeError('only supports to set a record as line or a single value.')\n \n def __iter__(self):\n for line in self._matrix:\n yield list(line)\n\n def __int__(self):\n mat = Matrix()\n mat._matrix = [list(map(int, row)) for row in self._matrix]\n mat._dim = self.shape\n return mat\n\n def __ne__(self, other):\n if self.__eq__(other):\n return False\n return True\n\n def __neg__(self):\n neg = Matrix()\n neg._dim = Matrix.dims(self._dim.Ln, self._dim.Col)\n neg._matrix = [0] * self._dim.Ln\n for i, line in enumerate(self._matrix):\n neg._matrix[i] = array('f', (value.__neg__() for value in line))\n return neg\n\n def __pos__(self):\n neg = Matrix()\n neg._dim = Matrix.dims(self._dim.Ln, self._dim.Col)\n neg._matrix = [0] * self._dim.Ln\n for i, line in enumerate(self._matrix):\n neg._matrix[i] = array('f', (value.__pos__() for value in line))\n return new\n\n def __sum__(self, other):\n return sum(sum(record) for record in self._matrix)\n \n def __abs__(self):\n neg = Matrix()\n neg._dim = Matrix.dims(self._dim.Ln, self._dim.Col)\n neg._matrix = [0] * self._dim.Ln\n for i, line in enumerate(self._matrix):\n neg._matrix[i] = tuple(value.__abs__() for value in line)\n return new\n\n def __add__(self, other):\n new_ = [0] * self._dim.Ln\n if is_math(other):\n for i in range(self._dim.Ln):\n new_[i] = array('f', (self._matrix[i][j] + other\\\n for j in xrange(self._dim.Col)))\n\n elif hasattr(other, 'shape'):\n x1, y1 = self.shape\n x2, y2 = other.shape\n if x1 == x2 and y1 == y2:\n for i in range(self._dim.Ln):\n new_[i] = array('f', (self._matrix[i][j] + other[i][j]\\\n for j in xrange(self._dim.Col)))\n elif x1 == x2 and y1 == 1 or y2 == 1:\n for i in range(self._dim.Ln):\n new_[i] = array('f', (self._matrix[i][j] + other[i][0]\\\n for j in xrange(self._dim.Col)))\n\n elif y1 == y2 and x1 == 1 or x2 == 1:\n for i in range(self._dim.Ln):\n new_[i] = array('f', (self._matrix[i][j] + other[0][j]\\\n for j in xrange(self._dim.Col)))\n \n else:\n raise ValueError('operands could not be broadcast '+\\\n 'together with shapes '+\\\n '(%d, %d) and '%self._dim+\\\n '(%d, %d)'%other.shape)\n else:\n raise TypeError(\"'+' operation expects the type of\"+\\\n \"number or an array-like object which has \"+\\\n \"attribute `shape`\")\n\n return Matrix(new_)\n\n def __radd__(self, other):\n return self.__add__(other)\n \n def __sub__(self, other):\n new_ = Matrix()\n mat = new_._matrix\n if is_math(other):\n new_._dim = self.shape\n for row in self._matrix:\n mat.append([x - other for x in row])\n\n elif hasattr(other, 'shape'):\n x1, y1 = self.shape\n x2, y2 = other.shape\n new_._dim = Matrix.dims(max(x1, x2), max(y1, y2))\n if x1 == x2:\n if y1 == y2:\n for lrow, rrow in zip(self._matrix, other):\n mat.append([l - r for l,r in zip(lrow, rrow)])\n \n if y2 == 1:\n for lrow, rrow in zip(self._matrix, other):\n mat.append([l - rrow[0] for l in lrow])\n\n if y1 == 1:\n for lrow, rrow in zip(self._matrix, other):\n mat.append([lrow[0] - r for r in rrow])\n\n elif y1 == y2:\n if x1 == 1:\n sub_line = self._matrix[0]\n for rrow in other:\n mat.append([l - r for l,r in zip(sub_line, rrow)])\n if x2 == 1:\n sub_line = other[0]\n for lrow in self:\n mat.append([l - r for l,r in zip(lrow, sub_line)])\n \n else:\n raise ValueError('operands could not be broadcast '+\\\n 'together with shapes '+\\\n '(%d, %d) and '%self._dim+\\\n '(%d, %d)'%other.shape)\n else:\n try:\n return self.__sub__(Matrix(other))\n except:\n raise TypeError(\"'-' operation expects the type of\"+\\\n \"number or an array-like object which has \"+\\\n \"attribute `shape`\")\n \n return new_\n\n def __rsub__(self, other):\n new_ = Matrix()\n mat = new_._matrix\n if is_math(other):\n new_._dim = self.shape\n for row in self._matrix:\n mat.append([other - x for x in row])\n\n elif hasattr(other, 'shape'):\n x1, y1 = self.shape\n x2, y2 = other.shape\n new_._dim = Matrix.dims(max(x1, x2), max(y1, y2))\n if x1 == x2:\n if y1 == y2:\n for lrow, rrow in zip(other, self._matrix):\n mat.append([l - r for l,r in zip(lrow, rrow)])\n \n if y2 == 1:\n for lrow, rrow in zip(other, self._matrix):\n mat.append([l - rrow[0] for l in lrow])\n\n if y1 == 1:\n for lrow, rrow in zip(other, self._matrix):\n mat.append([lrow[0] - r for r in rrow])\n\n elif y1 == y2:\n if x1 == 1:\n sub_line = self._matrix[0]\n for rrow in other:\n mat.append([l - r for l,r in zip(sub_line, rrow)])\n if x2 == 1:\n sub_line = other[0]\n for lrow in self:\n mat.append([l - r for l,r in zip(lrow, sub_line)])\n \n else:\n raise ValueError('operands could not be broadcast '+\\\n 'together with shapes '+\\\n '(%d, %d) and '%self._dim+\\\n '(%d, %d)'%other.shape)\n else:\n try:\n return self.__sub__(Matrix(other))\n except:\n raise TypeError(\"'-' operation expects the type of\"+\\\n \"number or an array-like object which has \"+\\\n \"attribute `shape`\")\n return new_\n \n def __mul__(self, other):\n new_ = Matrix()\n mat = new_._matrix\n if is_math(other):\n new_._dim = self.shape\n for row in self._matrix:\n mat.append([x * other for x in row])\n\n elif hasattr(other, 'shape'):\n x1, y1 = self.shape\n x2, y2 = other.shape\n new_._dim = Matrix.dims(max(x1, x2), max(y1, y2))\n if x1 == x2:\n if y1 == y2:\n for lrow, rrow in zip(self._matrix, other):\n mat.append([l * r for l,r in zip(lrow, rrow)])\n \n if y2 == 1:\n for lrow, rrow in zip(self._matrix, other):\n mat.append([l * rrow[0] for l in lrow])\n\n if y1 == 1:\n for lrow, rrow in zip(self._matrix, other):\n mat.append([lrow[0] * r for r in rrow])\n\n elif y1 == y2:\n if x1 == 1:\n sub_line = self._matrix[0]\n for rrow in other:\n mat.append([l * r for l,r in zip(sub_line, rrow)])\n if x2 == 1:\n sub_line = other[0]\n for lrow in self:\n mat.append([l * r for l,r in zip(lrow, sub_line)])\n \n else:\n raise ValueError('operands could not be broadcast '+\\\n 'together with shapes '+\\\n '(%d, %d) and '%self._dim+\\\n '(%d, %d)'%other.shape)\n else:\n try:\n return self.__mul__(Matrix(other))\n except:\n raise TypeError(\"'*' operation expects the type of\"+\\\n \"number or an array-like object which has \"+\\\n \"attribute `shape`\")\n \n return new_ \n\n def __rmul__(self, other):\n return self.__mul__(other)\n \n def __div__(self, other):\n new_ = Matrix()\n mat = new_._matrix\n if is_math(other):\n new_._dim = self.shape\n for row in self._matrix:\n mat.append([x / other for x in row])\n\n elif hasattr(other, 'shape'):\n x1, y1 = self.shape\n x2, y2 = other.shape\n if x2 == y2 == 1 and hasattr(other, 'tolist'):\n return self.__div__(other.tolist()[0][0])\n new_._dim = Matrix.dims(max(x1, x2), max(y1, y2))\n if x1 == x2:\n if y1 == y2:\n for lrow, rrow in zip(self._matrix, other):\n mat.append([l / r for l,r in zip(lrow, rrow)])\n \n if y2 == 1:\n for lrow, rrow in zip(self._matrix, other):\n mat.append([l / rrow[0] for l in lrow])\n\n if y1 == 1:\n for lrow, rrow in zip(self._matrix, other):\n mat.append([lrow[0] / r for r in rrow])\n\n elif y1 == y2:\n if x1 == 1:\n sub_line = self._matrix[0]\n for rrow in other:\n mat.append([l / r for l,r in zip(sub_line, rrow)])\n if x2 == 1:\n sub_line = other[0]\n for lrow in self:\n mat.append([l / r for l,r in zip(lrow, sub_line)])\n \n else:\n raise ValueError('operands could not be broadcast '+\\\n 'together with shapes '+\\\n '(%d, %d) and '%self._dim+\\\n '(%d, %d)'%other.shape)\n else:\n try:\n return self.__div__(Matrix(other))\n except:\n raise TypeError(\"'/' operation expects the type of\"+\\\n \"number or an array-like object which has \"+\\\n \"attribute `shape`\")\n \n return new_\n\n def __truediv__(self, other):\n return self.__div__(other)\n\n def __rdiv__(self, other):\n new_ = Matrix()\n mat = new_._matrix\n if is_math(other):\n new_._dim = self.shape\n for row in self._matrix:\n mat.append([other / x for x in row])\n\n elif hasattr(other, 'shape'):\n x1, y1 = self.shape\n x2, y2 = other.shape\n if x2 == y2 == 1 and hasattr(other, 'tolist'):\n return self.__rdiv__(other.tolist()[0][0])\n new_._dim = Matrix.dims(max(x1, x2), max(y1, y2))\n if x1 == x2:\n if y1 == y2:\n for lrow, rrow in zip(other, self._matrix):\n mat.append([l / r for l,r in zip(lrow, rrow)])\n \n if y2 == 1:\n for lrow, rrow in zip(other, self._matrix):\n mat.append([l / rrow[0] for l in lrow])\n\n if y1 == 1:\n for lrow, rrow in zip(other, self._matrix):\n mat.append([lrow[0] / r for r in rrow])\n\n elif y1 == y2:\n if x1 == 1:\n sub_line = self._matrix[0]\n for rrow in other:\n mat.append([l / r for l,r in zip(sub_line, rrow)])\n if x2 == 1:\n sub_line = other[0]\n for lrow in self:\n mat.append([l / r for l,r in zip(lrow, sub_line)])\n \n else:\n raise ValueError('operands could not be broadcast '+\\\n 'together with shapes '+\\\n '(%d, %d) and '%self._dim+\\\n '(%d, %d)'%other.shape)\n else:\n try:\n return self.__rdiv__(Matrix(other))\n except:\n raise TypeError(\"'/' operation expects the type of\"+\\\n \"number or an array-like object which has \"+\\\n \"attribute `shape`\")\n return new_\n\n def __rtruediv__(self, other):\n return self.__rdiv__(other)\n\n def __pow__(self, other):\n new_ = [0] * self._dim.Ln\n if is_math(other):\n for i in range(self._dim.Ln):\n new_[i] = [self._matrix[i][j] ** other\\\n for j in range(self._dim.Col)]\n\n elif hasattr(other, 'shape'):\n if self.shape != other.shape:\n raise ValueError('operands could not be broadcast '+\\\n 'together with shapes '+\\\n '(%d,%d) '%self._dim+\\\n '(%d,%d)'%other._dim)\n for i in range(self._dim.Ln):\n new_[i] = [self._matrix[i][j] ** other[i][j]\\\n for j in range(self._dim.Col)]\n else:\n raise TypeError(\"'**' operation expects the type of \"+\\\n \"number or an array-like object which has \"+\\\n \"attribute `shape`\")\n\n return Matrix(new_)\n\n def _get_cofactor(self, i, j):\n mat = self._matrix\n return Matrix([r[:j] + r[j+1:] for r in (mat[:i]+mat[i+1:])])\n\n def _init_unknow_type(self, table):\n if hasattr(table, 'tolist'):\n table = table.tolist()\n try:\n self._matrix = [array('f', row).tolist() for row in table]\n except TypeError:\n self._matrix = [array('f', table).tolist(),]\n self._dim = self._init_src_shape(self._matrix)\n\n @classmethod\n def _init_src_shape(cls, src, judge_shape=True):\n lenth = tuple(map(len, src))\n max_lenth = max(lenth)\n assert lenth.count(max_lenth) == len(lenth), 'not uniqual dimension of rows'\n return cls.dims(len(lenth), max_lenth)\n\n def argmax(self, axis=None):\n '''Indexes of the maxium values along an axis.\n\n Example\n -------\n >>> x = dp.mat(range(10)).reshape((3, 4))\n >>> x.argmax()\n >>> x.argmax(0)\n\n >>> x.argmax(1)\n '''\n if axis is None:\n iter_each_values = (value for row in self._matrix for value in row)\n return max(enumerate(iter_each_values), key=itemgetter(1))[0]\n if axis == 0:\n return Matrix(max(enumerate(col), key=itemgetter(1)) for col in zip(*self._matrix))[:, 0].T\n return Matrix(max(enumerate(row), key=itemgetter(1)) for row in self._matrix)[:, 0].T\n \n \n def diagonal(self):\n return [self._matrix[i][i] for i in xrange(min(self.shape))]\n\n def dot(self, other):\n if hasattr(other, 'shape') is False:\n return self.dot(Matrix(other))\n \n assert len(other.shape) == 2, 'unexpect data shape of %s' % other.shape\n assert self.shape[1] == other.shape[0], 'shapes (%d, %d)' % self._dim +\\\n ' and (%d, %d) not aligned.'%other._dim\n \n col_size = other.shape[1]\n new = Matrix()\n new._dim = Matrix.dims(self.shape.Ln, other.shape[1])\n now = new._matrix\n for lineI in self._matrix:\n now.append([sum(left * right[pos] for left, right in zip(lineI, other)) for pos in xrange(col_size)])\n return new\n\n @classmethod\n def make(cls, Ln, Col, element=0):\n if not (isinstance(Ln, int) and isinstance(Col, int)):\n raise TypeError(\"arguments 'Ln' and 'Col' expect type\")\n cls = cls()\n cls._matrix = [[element] * Col for j in xrange(Ln)]\n cls._dim = Matrix.dims(Ln, Col)\n return cls\n\n @classmethod\n def make_random(cls, Ln, Col, type_int=False):\n if not (isinstance(Ln, int) and isinstance(Col, int)):\n raise TypeError(\"arguments `Ln` and `Col` expect type,\")\n if not isinstance(type_int, (bool, tuple)):\n raise TypeError(\"argutments `type_int` expects `False` symbol\"+\\\n \" or a tuple-like.\")\n cls = cls()\n cls._matrix = [0] * Ln\n if type_int:\n for i in range(Ln):\n self._matrix[i] = array('f', [randint(*type_int)] * Col)\n else:\n for i in range(Ln):\n self._matrix[i] = array('f', [random()] * Col)\n cls._dim = Matrix.dims(Ln, Col)\n return cls\n\n @classmethod\n def make_eye(cls, size, value=None):\n assert is_math(value) or value is None or hasattr(value, '__iter__'), 'value should be a list of number, number or None.'\n if value is None:\n value == [1.0] * size\n elif is_math(value):\n value = [value] * size\n\n cls = cls()\n cls._matrix = [array('f', [0.0] * size) for j in range(size)]\n cls._dim = Matrix.dims(size, size)\n for i in xrange(size):\n cls._matrix[i][i] = value[i]\n return cls\n\n @classmethod \n def from_text(cls, addr, **kward):\n first_line = kward.get('first_line', 1)\n sep = kward.get('sep', ',')\n cls = cls()\n \n with open(addr, 'r') as f:\n _reader = reader(f, delimiter=sep)\n for m, record in enumerate(_reader):\n if m >= first_line - 1:\n break\n for record in _reader:\n cls._matrix.append(array('f', map(str2float, record)))\n\n col = len(max(cls._matrix, key=len))\n for record in cls._matrix:\n if len(record) != col:\n record.extend([0.0] * (col - len(record)))\n cls._dim = Matrix.dims(len(cls._matrix), col)\n return cls\n\n def reshape(self, new_shape):\n x, y = new_shape\n size = self.shape.Ln * self.shape.Col\n assert x * y == size, \"can't reshape matrix of size %d into shape %s\" % (size, new_shape)\n new = Matrix()\n new._dim = Matrix.dims(new_shape[0], new_shape[1])\n row = []\n for i, value in enumerate(chain(*self._matrix), 1):\n row.append(value)\n if i % y == 0:\n new._matrix.append(row)\n row = []\n return new\n \n def tolist(self):\n if self._dim.Col == 1:\n return [record[0] for record in self._matrix]\n return copy(self._matrix)\n" }, { "path": "DaPy/core/base/Series.py", "content": "from copy import copy\nfrom collections import Counter\nfrom itertools import repeat, compress, accumulate\nfrom datetime import datetime, timedelta\nfrom operator import add, sub, mul, mod, pow\nfrom operator import eq, gt, ge, lt, le\nfrom operator import itemgetter\nfrom math import sqrt\nfrom heapq import nlargest, nsmallest\nfrom time import clock\n\ntry:\n from numpy import darray\nexcept ImportError:\n darray = list\n\nfrom .constant import STR_TYPE, VALUE_TYPE, SEQ_TYPE, DUPLICATE_KEEP, PYTHON3, nan\nfrom .utils import filter, map, range, xrange, zip, zip_longest\nfrom .utils import is_iter, is_math, is_seq, is_value, isnan, auto_plus_one\nfrom .utils.utils_isfunc import SET_SEQ_TYPE\n\nif PYTHON3:\n from operator import truediv as div, itemgetter\nelse:\n from operator import div, itemgetter\n \nSHAPE_UNEQUAL_WARNING = \"can't broadcast together with lenth %d and %d\"\n\ndef quickly_apply(operation, left, right):\n assert callable(operation) is True\n return Series(map(operation, left, right))\n\ngetter1, getter0 = itemgetter(1), itemgetter(0)\n\nclass Series(list):\n def __init__(self, array=[]):\n if is_iter(array) is False:\n array = (array,)\n list.__init__(self, array)\n\n @property\n def data(self):\n return self\n\n @property\n def shape(self):\n return (len(self), 1)\n\n def __repr__(self):\n if len(self) > 10:\n head = ','.join(map(str, self[:5]))\n tail = ','.join(map(str, self[-5:]))\n return 'Sereis([%s, ..., %s])' % (head, tail)\n return 'Series(%s)' % list.__repr__(self)\n\n def __eq__(self, other):\n other = self._check_operate_value(other)\n return quickly_apply(eq, self, other)\n\n def __gt__(self, other):\n other = self._check_operate_value(other)\n return quickly_apply(gt, self, other)\n\n def __ge__(self, other):\n other = self._check_operate_value(other)\n return quickly_apply(ge, self, other)\n\n def __lt__(self, other):\n other = self._check_operate_value(other)\n return quickly_apply(lt, self, other)\n\n def __le__(self, other):\n other = self._check_operate_value(other)\n return quickly_apply(le, self, other)\n\n def __setitem__(self, key, val):\n '''refresh data from current series\n\n Parameters\n ----------\n key : slice, int, same-size series and tuple\n\n val : single value or iterable container\n\n Return\n ------\n None\n '''\n setitem = list.__setitem__\n if isinstance(key, int):\n setitem(self, key, val)\n\n if isinstance(key, Series):\n err = 'Index should be same size with current series'\n assert len(key) == len(self), err\n for i, key in enumerate(key):\n if key is True:\n setitem(self, key, val)\n\n if is_seq(key):\n for key in key:\n setitem(self, key, val)\n\n if isinstance(key, slice):\n start = 0 if key.start is None else key.start\n stop = len(self) if key.stop is None else key.stop\n step = 1 if key.step is None else key.step\n start = start if start > 0 else start + len(self)\n stop = start if stop > 0 else stop + len(self)\n val = repeat(val, int((stop - start) / 2)) if is_value(val) else val\n setitem(self, key, val) \n \n def __getitem__(self, key):\n '''get data from current series\n\n Parameters\n ----------\n key : slice, int, same-size series and tuple\n\n Return\n ------\n number or numbers in Series\n\n Example\n -------\n >>> ser = Series(range(2, 10))\n >>> ser[2:5] # get elements by slice\n [4, 5, 6]\n >>> ser[-1] # get element by index\n 9\n >>> ser[ser > 4] # get elements by sequence of bool\n [5, 6, 7, 8, 9]\n >>> ser[2, 4, 2, 3] # get elements by multiple index\n [4, 6, 4, 5]\n '''\n if isinstance(key, int):\n return list.__getitem__(self, key)\n \n if isinstance(key, Series):\n assert len(key) == len(self)\n return Series(compress(self, key))\n\n if is_seq(key):\n if len(key) == 1:\n return Series([list.__getitem__(self, key[0])])\n \n if len(key) < len(self) * 0.1:\n return Series(map(list.__getitem__, repeat(self, len(key)), key))\n \n if is_iter(key):\n try:\n key = itemgetter(*key)\n except TypeError:\n return Series()\n \n if isinstance(key, itemgetter):\n list_self = list(self)\n return Series(key(list_self)) \n \n if isinstance(key, slice):\n return Series(list.__getitem__(self, key))\n\n def __delitem__(self, key):\n '''delete data from current series\n\n Parameters\n ----------\n key : slice, int, same-size series and tuple\n\n Return\n ------\n number or numbers in Series\n\n Example\n -------\n >>> ser = Series(range(2, 10))\n >>> ser[2:5] # get elements by slice\n [4, 5, 6]\n >>> ser[-1] # get element by index\n 9\n >>> ser[ser > 4] # get elements by sequence of bool\n [5, 6, 7, 8, 9]\n >>> ser[2, 4, 2, 3] # get elements by multiple index\n [4, 6, 4, 5]\n '''\n func = list.__delitem__\n if isinstance(key, int):\n return func(self, key)\n \n if isinstance(key, Series):\n assert len(key) == len(self)\n for ind, val in enumerate(key):\n if val:\n func(self, ind)\n\n if isinstance(key, (tuple, list)):\n key = sorted(set(key), reverse=True)\n for ind in key:\n func(self, ind)\n\n if isinstance(key, slice):\n func(self, key)\n\n def __getslice__(self, start, stop):\n return Series(list.__getslice__(self, start, stop))\n\n def _check_operate_value(self, value):\n lself = len(self)\n if is_value(value):\n return repeat(value, lself)\n \n if hasattr(value, 'len') is False:\n value = list(value)\n \n rl = len(value)\n assert lself == rl, SHAPE_UNEQUAL_WARNING % (lself, rl)\n return value\n\n def __add__(self, right):\n '''[1, 2, 3] + 3 -> [4, 5, 6]\n [1, 2, 3] + [4, 5, 6] -> [5, 7, 9]\n '''\n right = self._check_operate_value(right)\n return quickly_apply(add, self, right)\n\n def __radd__(self, left):\n '''3 + [1, 2, 3] -> [4, 5, 6]\n '''\n left = self._check_operate_value(left)\n return quickly_apply(add, left, self)\n\n def __sub__(self, right):\n '''[1, 2, 3] - 3 -> [-2, -1 ,0]\n '''\n value = self._check_operate_value(right)\n return quickly_apply(sub, self, value)\n \n def __rsub__(self, left):\n '''3 - [1, 2, 3] -> [2, 1, 0]\n '''\n value = self._check_operate_value(left)\n return quickly_apply(sub, value, self)\n\n def __mul__(self, right):\n '''[1, 2, 3] * 3 -> [3, 6, 9]\n '''\n value = self._check_operate_value(right)\n return quickly_apply(mul, self, value)\n\n def __rmul__(self, left):\n '''3 * [1, 2, 3] -> [3, 6, 9]\n '''\n value = self._check_operate_value(left)\n return quickly_apply(mul, value, self)\n\n def __div__(self, right):\n '''[1, 2, 3] / 2 -> [0.5, 1, 1.5]\n '''\n value = self._check_operate_value(right)\n return quickly_apply(div, self, value)\n\n def __truediv__(self, right):\n return self.__div__(right)\n\n def __rdiv__(self, left):\n '''3 / [1, 2, 3] -> [3, 1.5, 1]\n '''\n value = self._check_operate_value(left)\n return quickly_apply(div, value, self)\n\n def __mod__(self, right):\n '''[1, 2, 3] % 3 -> [0, 0, 1]\n '''\n value = self._check_operate_value(right)\n return quickly_apply(mod, self, value)\n\n def __rmod__(self, left):\n '''3 % [1, 2, 3] -> [3, 1, 1]\n '''\n value = self._check_operate_value(left)\n return quickly_apply(mod, value, self)\n\n def __pow__(self, right):\n '''[1, 2, 3] ** 2 -> [1, 4, 9]\n '''\n value = self._check_operate_value(right)\n return quickly_apply(pow, self, value)\n\n def __float__(self):\n '''float([1, 2, 3]) -> [1.0, 2.0, 3.0]\n '''\n return Series(map(float, self))\n\n def __abs__(self):\n '''abs([-1, 2, -3]) -> [1, 2, 3]\n '''\n return Series(map(abs, self))\n\n def abs(self):\n return self.__abs__()\n\n def accumulate(self, func=None, skipna=True):\n '''return accumulate for each item in the series'''\n assert skipna in (True, False), '`skipna` must be True or False'\n values = Series(self) if skipna else self\n if skipna:\n index_nan = [i for i, val in enumerate(self) if isnan(val)]\n values[index_nan] = 0.0\n return Series(accumulate(values, func))\n\n def apply(self, func, *args, **kwrds):\n return Series(func(val, *args, **kwrds) for val in self)\n\n def argmax(self):\n max_val, max_ind = - float('inf'), None\n for ind, val in enumerate(self):\n if val > max_val:\n max_val, max_ind = val, ind\n return max_ind\n\n def argmin(self):\n max_val, max_ind = float('inf'), None\n for ind, val in enumerate(self):\n if val < max_val:\n max_val, max_ind = val, ind\n return max_ind\n\n def argsort(self, key=None, reverse=False):\n '''return the indices that would sort an array\n\n Parameters\n ----------\n key : function or None (default=None)\n\n reverse : True or False (default=False)\n\n Return\n ------\n Series : index of original data\n\n Example\n -------\n >>> Series([5, 2, 1, 10]).argsort()\n Series([2, 1, 0, 3])\n '''\n return Series(map(getter0, sorted(enumerate(self), key=getter1, reverse=reverse)))\n\n def between(self, left, right, boundary='both'):\n '''select the values which fall between `left` and `right`\n\n this function quickly select the values which are larger\n than `left` as well as smaller than `right`\n\n Parameters\n ----------\n left : val\n to select values which are all larger than `left`\n\n right : val\n to select values which are all less than `right`\n\n boundary : 'both', False, 'left', 'right (default='both')\n '''\n assert boundary in ('both', False, 'left', 'right')\n bound_left, bound_right = ge, ge\n if boundary in (False, 'right'):\n bound_left = gt\n if boundary in (False, 'left'):\n bound_right = gt\n def func(x):\n bound_left(left, x) and bound_rgiht(right, x)\n return Series(map(func, self))\n\n def cv(self):\n Ex, Ex2, length = 0, 0, float(len(self))\n if length <= 1:\n return 0\n \n for val in self:\n Ex += val\n Ex2 += pow(val, 2)\n if Ex == 0:\n return sqrt((Ex2 - Ex ** 2 / length) / (length - 1.0))\n return sqrt((Ex2 - Ex ** 2 / length) / (length - 1.0)) / (Ex / length)\n\n def count_values(self):\n '''return a counter object that contains frequency of values'''\n return Counter(self)\n\n def diff(self, lag):\n '''return a differential series that has only len(arr) - lag elements'''\n getter = list.__getitem__\n return Series(getter(self, i) - getter(self, i - lag) for i in range(lag, len(self)))\n\n def drop(self, todrop):\n '''remove values that matches `label` from the series'''\n if is_seq(todrop) is False:\n todrop = (todrop,)\n todrop = set(todrop)\n return Series(filter(lambda val: val not in todrop, self))\n\n def drop_duplicates(self, keep=['first', 'last', False]):\n assert keep in ('first', 'last', False)\n \n # find the all ununiqual values: O(n)\n val_ind = {}\n for i, value in enumerate(self):\n val_ind.setdefault(value, []).append(i)\n\n # get index from the quickly preview table: O(k)\n to_drop_index, keep_arg = set(), DUPLICATE_KEEP[keep]\n for value, index in val_ind.items():\n if len(index) != 1:\n to_drop_index.update(index[keep_arg])\n\n # drop out these index: O(n)\n return Series((val for i, val in enumerate(self) if i not in to_drop_index))\n\n def dropna(self):\n return Series(filter(lambda val: not isnan(val), self))\n \n def get(self, index, default=None):\n try:\n return list.__getitem__(self, index)\n except Exception:\n return default\n\n def has_duplicates(self):\n return len(self) != len(set(self))\n\n def normalize(self):\n mini, maxm = float(min(self)), max(self)\n rang = maxm - mini\n return Series(map(lambda x: (x - mini) / rang, self))\n \n def isnan(self):\n return Series(map(isnan, self))\n\n def map(self, func):\n '''given a map, return values that are tranformed by map\n\n Parameters\n ----------\n func : callable-object or dict\n\n Return\n ------\n Series : mapped values\n\n Examples\n --------\n >>> arr = dp.Series([3, 5, 7, 1])\n >>> arr.map(lambda val: val + 1)\n Series([4, 6, 8, 2])\n >>> arr.map({3: 'C'})\n Series(['C', 5, 7, 1])\n '''\n if hasattr(func, '__getitem__'):\n func = lambda val: obj.__getitem__(val) if val in obj else val\n assert callable(func), '`func` expects a callable object or dict-like object'\n return Series(map(func, self))\n\n def max(self, axis=0):\n return max(self)\n\n def max_n(self, n=1):\n return Series(nlargest(n, self))\n\n def min(self, axis=0):\n return min(self)\n\n def min_n(self, n=1):\n return Series(nsmallest(1, self))\n\n def mean(self, axis=0):\n return sum(self, 0.0) / len(self)\n\n def percenttile(self, q):\n return sorted(self)[int(q * len(self))]\n\n def pop(self, ind):\n if isinstance(ind, int):\n return list.pop(self, ind)\n \n if isinstance(ind, slice):\n start, stop = ind.start, ind.stop\n return Series(list.pop(self, i) for i in xrange(start, stop))\n \n if is_seq(ind):\n ind = sorted(set(ind), reverse=True)\n to_ret = Series(list.pop(self, i) for i in ind)\n to_ret.reverse()\n return to_ret\n \n def replace(self, old, new):\n return Series(new if _ == old else _ for _ in self)\n\n def sum(self):\n return sum(self, 0.0)\n\n def std(self):\n Ex, Ex2, length = 0, 0, float(len(self))\n if length <= 1:\n return 0\n \n for val in self:\n Ex += val\n Ex2 += pow(val, 2)\n return sqrt((Ex2 - Ex ** 2 / length) / (length - 1.0))\n\n def tolist(self):\n return list(self)\n\n def toarray(self):\n try:\n from numpy import array\n return array(self)\n except ImportError:\n raise ImportError(\"can't find numpy\")\n\n def unique(self):\n '''return unique items in the series'''\n uniq_vals, temp_vals = Series(), set()\n additem, appitem = set.add, list.append\n for i, val in enumerate(self):\n if val not in uniq_vals:\n additem(temp_vals, val)\n appitem(uniq_vals, val)\n return uniq_vals\n\n\nSET_SEQ_TYPE.add(Series)\n\nif __name__ == '__main__':\n init = Series(xrange(2, 8))\n assert all(init == [2, 3, 4, 5, 6, 7])\n assert len(init) == 6\n assert str(init) == 'Series([2, 3, 4, 5, 6, 7])'\n assert all(init[2:5] == [4, 5, 6])\n assert init[-1] == 7\n assert all(init[init >= 4] == [4, 5, 6, 7])\n \n assert all(init + 1 == [3, 4, 5, 6, 7, 8])\n assert all(init + init == [4, 6, 8, 10, 12, 14])\n assert all(init - 1 == [1, 2, 3, 4, 5, 6])\n assert all(init - init == [0, 0, 0, 0, 0, 0])\n assert all(init * 1 == [2, 3, 4, 5, 6, 7])\n assert all(init * init == [4, 9, 16, 25, 36, 49])\n assert all(init / 2.0 == [1, 1.5, 2, 2.5, 3, 3.5])\n assert all(init / init == [1, 1, 1, 1, 1, 1])\n\n assert all(1.0 + init == [3, 4, 5, 6, 7, 8])\n assert all(1 - init == [-1, -2, -3, -4, -5, -6])\n assert all(1 * init == [2, 3, 4, 5, 6, 7])\n assert all(10.0 / init == [5.0, 3.3333333333333335, 2.5, 2.0, 1.6666666666666667, 1.4285714285714286])\n" }, { "path": "DaPy/core/base/Sheet.py", "content": "'''\nThis file is a part of DaPy project\n\nWe define three base data structures for operating \ndata like an excel. In contrsat with Pandas, it is more \nconvinience and more simply to use. \n\nBaseSheet is a rudimentary structure and it provides some \nfunctions which have no different between SeriesSet and \nFrame structures.\n'''\n\nfrom collections import Counter\nfrom copy import copy\nfrom datetime import datetime\nfrom itertools import chain, repeat\nfrom operator import eq, ge, gt, le, lt\nfrom re import compile as re_compile\n\nfrom .BaseSheet import BaseSheet\nfrom .constant import (DUPLICATE_KEEP, PYTHON2, PYTHON3, SHEET_DIM, STR_TYPE,\n VALUE_TYPE)\nfrom .constant import nan as NaN\nfrom .DapyObject import check_thread_locked\nfrom .IndexArray import SortedIndex\nfrom .Row import Row\nfrom .Series import Series\nfrom .utils import (argsort, auto_plus_one, auto_str2value, count_nan,\n fast_str2value, hash_sort, is_dict, is_empty, is_iter,\n is_math, is_seq, is_str, is_value, isnan, range, split,\n str2date, strip, xrange, zip_longest, count_str_printed_length)\nfrom .utils.utils_join_table import inner_join, left_join, outer_join\nfrom .utils.utils_regression import simple_linear_reg\n\n__all__ = ['SeriesSet']\n\n\nclass SeriesSet(BaseSheet):\n\n '''Variable stores in sequenes\n '''\n\n def __init__(self, series=None, columns=None, nan=float('nan')):\n self._data = dict()\n BaseSheet.__init__(self, series, columns, nan)\n\n @property\n def info(self):\n '''summary the information of sheet'''\n self.describe(level=0)\n\n @property\n def missing(self):\n '''self.missing -> number of missing values in each column'''\n return SeriesSet([self._missing], self.columns)[0]\n\n @property\n def T(self):\n '''transpose the current data set -> SeriesSet'''\n return SeriesSet(self.iter_values(), None, self.nan)\n\n def __eq__(self, other):\n '''Sheet1 == 3 -> Bool in sheet'''\n if is_value(other):\n return self.__compare_value__(other, SeriesSet(nan=self.nan), eq)\n \n if other.shape.Ln != self.shape.Ln:\n return False\n if other.shape.Col != self.shape.Col:\n return False\n if other.columns != self.columns:\n return False\n for lval, rval in zip(other.iter_values(), self.iter_values()):\n if (lval == rval).all() is False:\n return False\n return True\n\n def __gt__(self, other):\n return self.__compare_value__(other, SeriesSet(nan=self.nan), gt)\n\n def __ge__(self, other):\n return self.__compare_value__(other, SeriesSet(nan=self.nan), ge)\n\n def __lt__(self, other):\n return self.__compare_value__(other, SeriesSet(nan=self.nan), lt)\n\n def __le__(self, other):\n return self.__compare_value__(other, SeriesSet(nan=self.nan), le)\n\n @check_thread_locked\n def accumulate(self, func=None, cols=None, skipna=True, inplace=False):\n '''accumulate(func=None, cols=None, skpna=True, inplace=False) -> SeriesSet\n return accumulated values for sequences\n\n Parameters\n ----------\n func : callable-object or None (default=None)\n the function used to operate each two values, default is `add`\n\n col : str, str in list (default='all')\n the columns that you expect to process\n\n skipna : True / False (default=True)\n whether accumulate values without NaN\n Attention: in this function, we support float('nan') as NaN only\n\n inplace : True or False (default=0)\n update values in current dataset or return new values\n\n Returns\n -------\n accumulated_data : SeriesSet\n '''\n assert inplace in (True, False), '`inplace` must be True or False'\n if inplace is False:\n return SeriesSet(self)._accumulate(func, cols, skipna)\n return self._accumulate(func, cols, skipna)\n \n @check_thread_locked\n def append_col(self, series, variable_name=None):\n '''append_col([1, 2, 3], 'New_column') -> None\n Append a new variable named `variable_name` with a list of data\n `series` at the tail of sheet.\n\n Setting a series of data as a new variable at the sheet. \n\n Parameters\n ----------\n series : list \n\n variable_name : str or None (default=None)\n the new variable name, if it is None, it will \n automatically add one.\n \n Returns\n -------\n None\n\n Examples\n --------\n >>> import DaPy as dp\n >>> sheet = dp.SeriesSet()\n >>> sheet.append_col([1, 2, 3], variable_name='A')\n >>> sheet\n A: <1, 2, 3>\n >>> sheet.append_col([1, 2, 3, 4, 5], variable_name='A')\n >>> sheet\n A: <1, 2, 3, nan, nan>\n A_1: <1, 2, 3, 4, 5>\n >>> sheet.append_col([0, 0])\n >>> sheet\n A: <1, 2, 3, nan, nan>\n A_1: <1, 2, 3, 4, 5>\n C_2: <0, 0, nan, nan, nan>\n\n Notes\n -----\n 1. This function has been added into unit test.\n 2. Function won't be locked when sheet.locked is False\n '''\n self._append_col(series, variable_name)\n return self\n \n @check_thread_locked\n def append_row(self, row):\n '''append_row(row=[1, 2, 3]) -> None\n Append a new record `row` at the tail of sheet.\n\n Using this to append a set of data as a new row in to \n the tail of current sheet. It will automatically add \n new columns if the new row is longer than the exist \n columns. When the length of the new row is smaller \n than the number of columns, the new row will be automatically \n addded NaN.\n\n Parameters\n ----------\n row : dict, namedtuple, list, tuple \n a new row\n \n Returns\n -------\n None\n\n Examples\n --------\n >>> import DaPy as dp\n >>> sheet = dp.SeriesSet(columns=['A', 'B', 'C'])\n >>> sheet.append_row([3, 4, 5]) # a list of new row\n >>> sheet.show()\n A | B | C\n ---+---+---\n 3 | 4 | 5 \n >>> # a dict of new row which has much more values\n >>> sheet.append_row(dict(A=1, B=2, C=3, D=4)) \n >>> sheet.show()\n A | B | C | D \n ---+---+---+-----\n 3 | 4 | 5 | nan \n 1 | 2 | 3 | 4 \n >>> # length is less than the number of columns\n >>> sheet.append_row([9]) \n A | B | C | D \n ---+-----+-----+-----\n 3 | 4 | 5 | nan \n 1 | 2 | 3 | 4 \n 9 | nan | nan | nan \n\n Notes\n -----\n 1. This function has been added into unit test.\n 2. Function won't be locked when sheet.locked is False\n '''\n self._append_row(row)\n return self\n\n def apply(self, func, cols=None, axis=0, *args, **kwrds):\n '''apply(func, col=None, *args, **kwrds)\n apply a function to columns or rows\n\n Parameters\n ----------\n func : callable\n the function that you need to process the data\n\n col : str, str in list (default='all')\n the columns that you expect to process\n\n axis : 1 or 0 (default=0)\n apply the function along rows(0) or columns(1)\n\n \n Returns\n -------\n applied_sheet : SeriesSet\n\n Example\n -------\n >>> sheet = dp.Table([[1, 2, 3], [4, 5, 6]])\n >>> func = lambda arr: arr.sum() / arr.std()\n >>> sheet.apply(func, axis=1).show()\n >>> sheet.apply(func, axis=0).show()\n '''\n assert axis in (0, 1), '`axis` must be 0 or 1'\n assert callable(func), '`func` must be a callable object'\n cols = self._check_columns_index(cols)\n\n if axis == 0:\n subset = self[cols]\n try:\n func(subset[0].tolist(), *args, **kwrds)\n subset = subset.iter_values()\n except:\n pass\n\n return SeriesSet([func(row, *args, **kwrds) for row in subset])\n \n result = {}\n for key in cols:\n result[key] = func(self[key], *args, **kwrds)\n return SeriesSet(result)\n\n @check_thread_locked\n def map(self, func, cols=None, inplace=False):\n '''apply(func, col=None, *args, **kwrds)\n apply a function to columns or rows\n\n Parameters\n ----------\n func : callable object or dict-like object\n\n col : str, str in list (default='all')\n the columns that you expect to process\n\n inplace : True or False (default=0)\n update values in current dataset or return new values\n\n Returns\n -------\n mapped_sheet : SeriesSet\n\n Notes\n -----\n 1. Function may be locked when `inplace` is True and \n sheet.locked is False. When you operate the \n column which is an Index, it will be locked.\n \n '''\n assert inplace in (True, False), '`inplace` must be True or False'\n if inplace is False:\n return SeriesSet(self)._map(func, cols)\n return self._map(func, cols)\n\n def set_index(self, columns):\n '''set_index(column) -> None\n set a column as an Index for quickly searching\n\n Create an Index for quickly searching the records. \n When you have settled down some columns as Indexes, \n sheet.query() or sheet.update() will automatically \n check your Indexes. If you have the Index, it will \n use the Index to quickly select the records. When \n you select records with Index, the time cumsulting \n is just O(logN). \n\n You must be attention that some of operation \n functions will be unavaliable after you have \n Indexes. And the others will be a little slower. \n Use `sheet.locked` to make sure whether the \n sheet is locked or not.\n\n Parameters\n ----------\n columns : str, str in list\n the column(s) you want to make index\n \n Returns\n -------\n None\n\n Examples\n --------\n\n\n See Also\n --------\n DaPy.SeriesSet.query\n DaPy.SeriesSet.update\n '''\n for col in self._check_columns_index(columns):\n error = '%s has been an index already' % col\n assert col not in self._sorted_index, error\n self._sorted_index[col] = SortedIndex(self._data[col])\n\n def corr(self, method='pearson', col=None):\n '''corr(method='pearson', col=None) -> SeriesSet\n calculate the correlation among the variables\n\n Calculate the correlation between the variables and \n return the result as a n*n matrix.\n\n Parameters\n ----------\n method : str (default='pearson')\n the algorithm to calculate the correlation\n (\"pearson\", \"spearman\" and 'kendall' are supported)\n\n col : str or None (default=None)\n the columns to calculate\n \n Returns\n -------\n correlations : SeriesSet\n\n Examples\n --------\n >>> import DaPy as dp\n >>> sheet = dp.SeriesSet({\n 'A_col': [1, 3, 4, 5, 6, 4, 5, 6, 8],\n 'B_col': [2, 4, 6, 8, 10, 12, 13, 15, 16],\n 'C_col': [-2, -3, -4, -5, -4, -7, -8, -10, -11]})\n >>> sheet.corr(col=['A', 'B', 'C']).show()\n | A | B | C \n ---+-----------------+----------------+-----------------\n A | 1.0 | 0.862775883665 | -0.790569415042 \n B | 0.862775883665 | 1.0 | -0.95155789511 \n C | -0.790569415042 | -0.95155789511 | 1.0 \n '''\n from DaPy import corr as corr_\n col = self._check_columns_index(col)\n frame = [[1.0] * len(col) for i in xrange(len(col))]\n for i, current in enumerate(col):\n for j, next_ in enumerate(col):\n if next_ != current:\n coef = corr_(self._data[current],\n self._data[next_],\n method)\n frame[i][j] = coef\n frame[j][i] = coef\n new_ = SeriesSet(frame, col, nan='')\n new_._insert_col(0, col, '')\n return new_\n\n def copy(self):\n '''copy the current sheet'''\n return SeriesSet(self, nan=self._nan)\n\n def count(self, value, col=None, row=None):\n '''count(X, col=None, row=None) -> Counter or int\n count the frequency of value(s) in a specific area\n\n Count the frequency of values appearence in a specific \n area. You should identify an area by columns and rows \n indexes. Otherwise, it will check the whole sheet.\n\n Parameters\n ----------\n val : value\n anything you want to count in the area\n\n col : None, str, str in list (default=None)\n columns you want to count with\n None -> all columns will be checked\n \n row : None, int, int in list (default=None)\n rows you want to count with\n None -> all rows will be checked\n \n Returns\n -------\n numbers : int / Counter object\n If you just have one value, it will return int.\n If you have more than one values, it will return a dict.\n \n Examples\n --------\n >>> sheet = dp.SeriesSet([[1, 2, 3, 4],\n [2, None, 3, 4],\n [3, 3, None, 5],\n [7, 8, 9, 10]])\n >>> sheet.show()\n C_0 | C_1 | C_2 | C_3\n -----+------+------+-----\n 1 | 2 | 3 | 4 \n 2 | None | 3 | 4 \n 3 | 3 | None | 5 \n 7 | 8 | 9 | 10 \n >>> sheet.count(3) \n 4 # 3 totally appears four times in the sheet\n\n >>> sheet.count([3, None]) # None totally appears two times\n Counter({3: 4, None: 2})\n\n >>> sheet.count(3, col=0) \n 1 # 3 totally appears 1 time in the first column\n\n >>> sheet.count(3, col=0, row=[0, 1])\n 0 # 3 never appears in the first column and the first two rows\n\n Notes\n -----\n 1. Function won't be locked when sheet.locked is False.\n '''\n if is_value(value):\n value = (value,)\n\n assert is_seq(value), 'value must be stored in an iterable'\n value = set(value)\n col = self._check_columns_index(col)\n row = self._check_rows_index(row)\n\n counter = Counter()\n for title in col:\n sequence = self._data[title]\n for val in sequence[row]:\n if val in value:\n counter[val] += 1\n\n if len(value) == 1:\n return counter[tuple(value)[0]]\n return counter\n \n def count_nan(self, axis=0):\n '''return the frequency of NaN according to `axis`'''\n assert axis in (0, 1, None)\n if axis == 1:\n return self.missing\n if axis == 0:\n return Series(sum(map(self._isnan, _)) for _ in self.iter_rows()) \n return sum(self._missing)\n\n def count_values(self, col=None):\n '''count_values(col=None) -> Counter\n\n Count the frequency of values for each variable(s).\n You could count only a part of your data set with \n setting `col` as an iterble inluding the number \n of column or variable names.\n\n Parameters\n ----------\n col : None, str or str in list (default=None)\n the column you expected to analysis\n None -> all columns\n \n Returns\n -------\n dict : the frequency of elements in each column.\n\n Examples\n --------\n >>> import DaPy as dp\n >>> sheet = dp.SeriesSet([[1, 2, 3, 4],\n [2, None, 3, 4],\n [3, 3, None, 5],\n [7, 8, 9, 10]])\n >>> sheet.count_values(col=1)\n Counter({8: 1, \n 2: 1, \n 3: 1, \n None: 1})\n >>> sheet.count_values(col=[1, 2])\n Counter({3: 3, \n None: 2, \n 8: 1, \n 9: 1, \n 2: 1})\n\n Notes\n -----\n 1. Function won't be locked when sheet.locked is False.\n '''\n col = self._check_columns_index(col)\n counter = Counter()\n for title in col:\n counter.update(self._data[title])\n return counter\n\n def query(self, expression, col=None, limit=1000):\n '''sheet.query('A_col != 1') -> SeriesSet\n\n Parse a string of python syntax statement and select rows which\n match the query. Two algorithms are used in this function. The first\n solution, binary select, needed sorted indexes before calling this\n function, has a high efficiency with O(logN) time comsumption. On the \n other hand, normal linear comparing select, implemented like `where`\n function, has a linear efficiency of O(N) speed.\n\n Parameters\n ----------\n expression : str\n the statement you want to use to select data,\n you can write it like python condition syntax.\n\n col : None, str or list (default=None)\n which columns you want to select\n\n limit : int, None (default=1000)\n the maximum number of rows you want to select,\n this is a good way to speed up selection from\n million of rows if you need only 1 of them\n in each time.\n\n Return\n ------\n subset : SeriesSet\n the selection result according to your statement.\n\n Example\n -------\n >>> from DaPy.datasets import iris\n >>> sheet, info = iris()\n >>> sheet.query('5.5 >= sepal length > 5 and sepal width > 4').show()\n sepal length | sepal width | petal length | petal width | class\n --------------+-------------+--------------+-------------+--------\n 5.2 | 4.1 | 1.5 | 0.1 | setosa\n 5.5 | 4.2 | 1.4 | 0.2 | setosa\n >>> data.query('sepal length / 2.0 == sepal width').show()\n sepal length | sepal width | petal length | petal width | class\n --------------+-------------+--------------+-------------+------------\n 6.4 | 3.2 | 4.5 | 1.5 | versicolor\n 7.2 | 3.6 | 6.1 | 2.5 | virginica\n 6.4 | 3.2 | 5.3 | 2.3 | virginica\n 5.6 | 2.8 | 4.9 | 2.0 | virginica\n 6.0 | 3.0 | 4.8 | 1.8 | virginica\n\n See Also\n --------\n DaPy.core.base.Sheet.SeriesSet.set_index\n DaPy.core.base.IndexArray.SortedIndex\n '''\n sub_index, select_col = self._query(expression, col, limit)\n if len(sub_index) == 0:\n return SeriesSet(None, select_col, nan=self.nan)\n return self.iloc(sub_index)[select_col]\n\n def describe(self, level=0):\n '''describe(lvel=0, show=True) -> None\n summary the information of current sheet\n '''\n assert level in (0, 1, 2)\n from DaPy import describe\n info = dict(mins=[], maxs=[], avgs=[], stds=[], skes=[], mode=[],\n kurs=[], miss=list(map(str, self._missing)))\n for sequence in self.iter_values():\n des = describe(Series(filter(lambda x: not self._isnan(x), sequence)))\n for arg, val in zip(['mins', 'maxs', 'avgs', 'stds', 'mode', 'skes', 'kurs', ],\n [des.Min, des.Max, des.Mean, des.S, des.Mode, des.Skew, des.Kurt]):\n if val is None and arg != 'mode':\n info[arg].append('-')\n elif isinstance(val, float):\n if val > 9999999999:\n float_template = '%g'\n else:\n float_template = '%10.' + str(11 - len(str(int(val)))) + 'g'\n info[arg].append(float_template % val)\n else:\n info[arg].append(str(val))\n\n blank_size = [max(len(max(self.columns, key=len)), 5) + 2,\n max(len(max(info['miss'], key=len)), 4) + 2,\n max(len(max(info['mins'], key=len)), 4) + 2,\n max(len(max(info['avgs'], key=len)), 4) + 2,\n max(len(max(info['maxs'], key=len)), 4) + 2,\n max(len(max(info['stds'], key=len)), 4) + 2,\n max(len(max(info['mode'], key=len)), 4) + 2]\n \n # Draw the title line of description\n message = '|'.join(['Title'.center(blank_size[0]),\n 'Miss'.center(blank_size[1]),\n 'Min'.center(blank_size[2]),\n 'Mean'.center(blank_size[4]),\n 'Max'.center(blank_size[3]),\n 'Std'.center(blank_size[5]),\n 'Mode'.center(blank_size[6])])\n\n if level >= 1:\n blank_size.extend([\n max(len(max(info['skes'], key=len)), 4) + 2,\n max(len(max(info['kurs'], key=len)), 4) + 1])\n\n message += '|' + '|'.join([\n 'Skew'.center(blank_size[6]),\n 'Kurt'.center(blank_size[7])])\n\n message += '\\n%s\\n' % '+'.join(map(lambda x: '-' * x, blank_size))\n\n # Draw the main table of description\n for i, title in enumerate(self._columns):\n message += title.center(blank_size[0]) + '|'\n message += info['miss'][i].center(blank_size[1]) + '|'\n message += info['mins'][i].rjust(blank_size[2] - 1) + ' |'\n message += info['avgs'][i].rjust(blank_size[4] - 1) + ' |'\n message += info['maxs'][i].rjust(blank_size[3] - 1) + ' |'\n message += info['stds'][i].rjust(blank_size[5] - 1) + ' |'\n message += info['mode'][i].rjust(blank_size[6] - 1)\n if level >= 1:\n message += '|' + info['skes'][i].center(blank_size[7]) + '|'\n message += info['kurs'][i].center(blank_size[8])\n message += '\\n'\n\n lenth = 6 + 2 * level + sum(blank_size)\n print('1. Structure: DaPy.SeriesSet\\n' +\\\n '2. Dimensions: Lines=%d | Variables=%d\\n' % self.shape +\\\n '3. Miss Value: %d elements\\n' % sum(self.missing) +\\\n 'Descriptive Statistics'.center(lenth) + '\\n' +\\\n '=' * lenth + '\\n' + message + '=' * lenth)\n\n def drop(self, index=-1, axis=0, inplace=False):\n '''remove a column or a row in the sheet\n\n Parameters\n ----------\n index : single value or list-like (default=-1)\n Index of column name or index of column or index of rows\n\n axis : 0 or 1\n drop index along the row (axis=0) or column (axis=1)\n \n inplace : True or False (default=False)\n operate the values in the current sheet or on the copy\n\n Return\n ------\n subset : SeriesSet\n if you `inplace` is True, it will return the subset \n which drop out the values.\n\n Example\n -------\n >>> sheet = dp.SeriesSet(range(5))\n >>> sheet.drop(0, axis=0, True)\n C_0 : <1, 2, 3, 4>\n >>> sheet.drop('C_0', axis=1, True)\n empty SeriesSet instant\n\n Notes\n -----\n 1. This function has been added into unit test.\n '''\n assert axis in (0, 1)\n if axis == 0:\n return self.drop_row(index, inplace)\n return self.drop_col(index, inplace)\n\n @check_thread_locked\n def drop_col(self, index=-1, inplace=False):\n '''drop_col(index=-1, inplace=False) -> SeriesSet\n remove the columns according to the index\n\n Parameters\n ----------\n index : int, str or item in list (default=-1)\n the columns will be removed\n \n inplace : True / False (default=False)\n remove the columns from the current sheet or \n remove the columns from a copy of the sheet and \n return the copy\n \n Returns\n -------\n dropped_sheet : SeriesSet\n if `inplace` is True, it will return the current sheet, \n otherwise, it will return the copy of the sheet.\n \n Examples\n --------\n '''\n if inplace is False:\n return SeriesSet(self, nan=self.nan)._drop_col(index)\n return self._drop_col(index)\n\n @check_thread_locked\n def diff(self, lag=1, cols=None, inplace=False):\n if inplace is False:\n return SeriesSet(self, nan=self.nan)._diff(lag, cols)\n return self._diff(lag, cols)\n\n @check_thread_locked\n def drop_row(self, index=-1, inplace=True):\n '''drop_row(index=-1, inplace=True) -> SeriesSet\n drop out rows according to the index'''\n if inplace is False:\n return SeriesSet(self, nan=self.nan)._drop_row(index)\n return self._drop_row(index)\n\n @check_thread_locked\n def dropna(self, axis=0, how='any', inplace=False):\n '''dropna(axis=0, how='any', inplace=False)\n \n Drop out all records, which contain miss value, if `axis` is\n `0`. Drop out all the variables, which contain miss value,\n if `axis` is `1`.\n\n Parameters\n ----------\n axis : 0 or 1 (default=0)\n drop out process along axis\n 0 -> rows: any rows which contain NaN will be droped out.\n 1 -> cols: any columns which contain NaN will be droped out.\n \n how : 'any', 'all' or float (default='any')\n how to delete the records or columns when they appear NaN.\n 'all' -> each elements of the row or column are NaN, than \n we will remove the row or column.\n 'any' -> If there is at least one NaN in that row or column, \n we will remove the row or column.\n float -> if the percentage of NaN in that row or column \n is greater than the float, we will remove the row \n or column.\n \n inplace : True or False (default=False)\n opearte on the current sheet or the copy of the sheet\n \n Returns\n -------\n dropped_sheet : SeriesSet \n if `inplace` is True, it will return the current sheet, \n otherwise, it will return the copy of the sheet.\n\n Examples\n --------\n >>> import DaPy as dp\n >>> sheet = dp.SeriesSet([[1, 2, 3, 4],\n [2, None, None, 4],\n [3, 3, None, 5],\n [7, 8, 9, 10]], \n nan=None)\n >>> sheet.dropna(axis=0, how='any').show()\n C_0 | C_1 | C_2 | C_3\n -----+-----+-----+-----\n 1 | 2 | 3 | 4 \n 7 | 8 | 9 | 10 \n >>> sheet.dropna(axis=0, how=0.4).show()\n C_0 | C_1 | C_2 | C_3\n -----+-----+------+-----\n 1 | 2 | 3 | 4 \n 3 | 3 | None | 5 \n 7 | 8 | 9 | 10 \n >>> sheet.dropna(axis=1, how='any').show()\n C_0 | C_3\n -----+-----\n 1 | 4 \n 2 | 4 \n 3 | 5 \n 7 | 10 \n >>> sheet.dropna(axis=1, how=0.4).show()\n C_0 | C_1 | C_3\n -----+------+-----\n 1 | 2 | 4 \n 2 | None | 4 \n 3 | 3 | 5 \n 7 | 8 | 10 \n '''\n assert axis in (0, 1), 'axis must be 1 or 0.'\n err = '`how` must be \"any\", \"all\" or float between 0 and 1'\n assert how in ('any', 'all') or 1 > how > 0, err\n\n if axis == 1:\n pop_ind, lenth = [], float(self.shape.Ln)\n for i, value in enumerate(self._missing):\n if how == 'any' and value > 0:\n pop_ind.append(self._columns[i])\n elif value / lenth > how:\n pop_ind.append(self._columns[i])\n elif how == 'all' and value == lenth:\n pop_ind.append(self._columns[i])\n return self.drop_col(pop_ind, inplace)\n\n # if axis == 0:\n pop_ind, lenth = [], float(self.shape.Col)\n for i, row in enumerate(self.iter_rows()):\n num = count_nan(self._isnan, row)\n if how == 'any':\n if num > 0:\n pop_ind.append(i)\n elif num / lenth > how:\n pop_ind.append(i)\n elif how == 'all':\n if num == lenth:\n pop_ind.append(i)\n return self.drop_row(pop_ind, inplace)\n\n def drop_duplicates(self, col=None, keep='first', inplace=False):\n '''drop_duplicates(col=None, keep='first', inplace=False) -> SeriesSet\n '''\n assert self.locked, LOCK_ERROR\n assert keep in ('first', 'last', False)\n pop_col = self._check_columns_index(col)\n drop_ind, drop_symbol = [], DUPLICATE_KEEP[keep]\n\n droped_table = self._group_index_by_column_value(pop_col) # O(n)\n for values in droped_table.values(): # O(n)\n if len(values) != 1:\n drop_ind.extend(values[drop_symbol])\n return self.drop_row(drop_ind, inplace) # O(k*lnk + n)\n\n @check_thread_locked\n def extend(self, item, inplace=False):\n '''extend the current SeriesSet with records in set.\n\n\n Examples\n --------\n >>> import DaPy as dp\n >>> data1 = dp.SeriesSet(\n [[11, 11],\n [21, 21],\n [31, 31],\n [41, 41]],\n ['C1', 'C2']), 'Table1')\n >>> data2 = dp.SeriesSet(\n [[21, 21],\n [22, 22],\n [23, 23],\n [24, 24]],\n ['C2', 'C3']), 'Table2')\n >>> data1.extend(data2)\n C1 | C2 | C3 \n -----+----+------\n 11 | 11 | nan \n 21 | 21 | nan \n 31 | 31 | nan \n 41 | 41 | nan \n nan | 21 | 21 \n nan | 22 | 22 \n nan | 23 | 23 \n nan | 24 | 24 \n\n Notes\n -----\n 1. This function has been added into unit test.\n '''\n if isinstance(item, SeriesSet) is False:\n try:\n columns = item.columns if hasattr(item, 'columns') else self.columns\n item = self._extend(SeriesSet(item, columns))\n except:\n raise TypeError('could not extend a single value only.')\n\n if inplace is False:\n return SeriesSet(self)._extend(item)\n return self._extend(item)\n\n @check_thread_locked\n def fillna(self, fill_with=None, col=None, method=None, limit=None):\n '''fill nan in the dataset\n\n Parameters\n ----------\n fill_with : value, dict in valu (default=None)\n the value used to fill with\n\n cols : str or str in list (default=None)\n the columns would be operated, None means the whole dataset\n\n method : str (default=None)\n which method you expect to use, if this keyword is not None,\n `fill_with` keyword will be failed to use. The data which use to\n establish the model are located around the missing value and the\n number of those data are auto-adapt.\n\n `linear` : establish a linear model\n\n limit : int (default=None)\n the maximum number of missing values to fill with, operate all\n missing value use None.\n\n Return\n ------\n self\n\n Example\n -------\n >>> data = dp.SeriesSet({'A': [dp.nan, 1, 2, 3, dp.nan, dp.nan, 6]},\n nan=dp.nan)\n >>> data.fillna(method='linear')\n >>> data\n A: <0.0, 1, 2, 3, 4.0, 5.0, 6>\n '''\n return self._fillna(fill_with, col, method, limit)\n\n def flatten(self, axis=0):\n '''flatten 2-dimentions table into 1-dimention Series'''\n return Series(self._flatten(axis))\n \n @classmethod\n def from_file(cls, addr, **kwrd):\n '''read dataset from .txt or .csv file.\n\n Parameters\n ----------\n addr : str\n address of source file.\n\n first_line : int (default=1)\n the first line with data.\n\n miss_symbol : str or str in list (default=['?', '??', '', ' ', 'NA', 'None'])\n the miss value symbol in csv file.\n\n nan : str (default=float('nan'))\n the symbol of missing value in current sheet\n\n title_line : int (default=0)\n the line with title, rules design as follow:\n -1 -> there is no title inside;\n >=0 -> the titleline.\n\n sep : str (default=\",\")\n the delimiter symbol inside.\n\n dtypes : Type name or dict of columns (default=None):\n use specific data types for parsing each column\n int -> transfer any possible values into int\n float -> transfer any possible values into float\n str -> keep all values in str type\n datetime -> transfer any possible values into datetime-object\n bool -> transfer any possible values into bool\n '''\n nan = kwrd.get('nan', NaN)\n sheet = cls(nan=nan)\n first_line = kwrd.get('first_line', 1)\n title_line = kwrd.get('title_line', first_line - 1)\n columns = list(kwrd.get('columns', []))\n sep = kwrd.get('sep', ',')\n\n dtypes = kwrd.get('dtypes', [])\n if is_str(dtypes):\n dtypes = [dtypes]\n\n miss_symbol = kwrd.get('miss_symbol', set(['nan', '?', '??', '', ' ', 'NA', 'None']))\n if is_value(miss_symbol):\n miss_symbol = [miss_symbol]\n if isinstance(miss_symbol, set) is False:\n miss_symbol = set(miss_symbol)\n\n miss_symbol.add(None)\n split, strip = str.split, str.strip\n if kwrd.get('careful_cut', None):\n pattern = re_compile(sep + '(?=(?:[^\"]*\"[^\"]*\")*[^\"]*$)')\n split = pattern.split\n\n param, data, miss = {'mode': 'rU'}, (), ()\n if PYTHON3:\n param['encoding'] = kwrd.get('encoding', None)\n param['file'] = addr\n param['newline'] = kwrd.get('newline', None)\n if PYTHON2:\n param['name'] = addr\n\n assert first_line > title_line, '`first_line` must be larger than `title_line`'\n assert all(map(is_str, columns)), 'column names must be `'\n \n with open(**param) as file_:\n # skip the rows which are unexpected to read\n for i in xrange(first_line):\n line = file_.readline()\n if i == title_line:\n # setup the title line\n columns = tuple(map(lambda x: strip(x), split(line, sep)))\n\n # begin to load data\n for i, row in enumerate(file_):\n for mis, seq, transfer, val in zip_longest(miss, data, dtypes, split(strip(row), sep)): \n # iter value\n try:\n if val in miss_symbol:\n seq.append(nan)\n mis.append(1)\n else:\n seq.append(transfer(val.encode('utf-8')))\n \n except ValueError:# different types of data in the same variable\n seq.append(auto_str2value(val))\n \n except Exception as e: # we found a new variable\n mis = []\n miss += (mis,)\n if val in miss_symbol:\n val = nan\n mis.append(1)\n else:\n val = auto_str2value(val, transfer)\n type_name = str(val.__class__).split()[1][1:-2].split('.')[0]\n dtypes.append(fast_str2value[type_name])\n \n if not data:\n data += (Series([val]),)\n else:\n missed = len(data[0]) - 1\n mis.append(missed)\n data += (Series(chain(repeat(nan, missed), [val])),)\n\n sheet._dim = SHEET_DIM(len(data[0]), len(data))\n sheet._init_col_name(columns)\n for i, (missing, seq, col) in enumerate(zip(miss, data, sheet.columns)):\n add_space = sheet.shape.Ln - len(seq)\n seq.extend(repeat(sheet.nan, add_space))\n sheet._missing.append(add_space + sum(missing))\n sheet._data[col] = seq\n return sheet\n\n def get(self, key, default=None):\n '''get(key, default=None) -> row or Series\n select column or row from the sheet, \n return `default` if `key` is not a column name\n '''\n return self._get(key, default)\n\n def get_best_features(self, method='variance', X=None, Y=None, top_k=1):\n '''get_best_features(method='variance', X=None, Y=None, top_k=1) -> SeriesSet\n\n Select K features which are the most important to the variable `Y`\n '''\n return self._get_best_features(method, X, Y, top_k)\n\n def get_categories(self, cols, cut_points, group_name,\n boundary=(False, True), inplace=False):\n '''transfer numerical variables into categorical variable'''\n if inplace is False:\n return SeriesSet(self, nan=self.nan)._get_categories(\n cols, cut_points, group_name, boundary)\n return self._get_categories(cols, cut_points, group_name, boundary)\n\n def get_date_label(self, cols, daytime=True,\n weekend=True, season=True, inplace=False):\n '''transfer a datetime object into categorical variables'''\n cols = self._check_columns_index(cols)\n if inplace is False:\n self = SeriesSet(nan=self.nan)\n\n def dummy_date(col_name):\n sequence = copy(self.data[col_name])\n for i, value in enumerate(sequence):\n if isinstance(value, datetime) is False:\n sequence[i] = str2date(str(value))\n date_sheet = SeriesSet(None, ['month', 'hour', 'week'])\n for row in sequence:\n date_sheet.append_row([row.month, row.hour, row.weekday()])\n return date_sheet\n\n for col in cols:\n date = dummy_date(col)\n self._get_date_label(date, col, daytime, weekend, season)\n return self\n\n def get_dummies(self, cols=None, value=1, inplace=False):\n '''Convert categorical variable into multiple binary variables\n\n Parameters\n ----------\n cols : str or str in list (default=None)\n the columns would be operated, None means the whole dataset\n\n value : value-type (default=1)\n the value which will be used as a mark in the return object\n\n inplace : True or False (default=False)\n operate the values in the current sheet or on the copy\n\n Examples\n --------\n >>> import DaPy as dp\n >>> sheet = dp.SeriesSet([\n ['A', 2],\n ['B', 3],\n ['A', 3],\n ['C', 1],\n ['D', 4],\n ['C', 1]],\n\t\t ['alpha', 'num'])\n >>> sheet.get_dummies(cols='alpha').show()\n alpha | num | alpha_A | alpha_C | alpha_B | alpha_D\n -------+-----+---------+---------+---------+---------\n A | 2 | 1 | 0 | 0 | 0 \n B | 3 | 0 | 0 | 1 | 0 \n A | 3 | 1 | 0 | 0 | 0 \n C | 1 | 0 | 1 | 0 | 0 \n D | 4 | 0 | 0 | 0 | 1 \n C | 1 | 0 | 1 | 0 | 0 \n '''\n \n if inplace is False:\n return SeriesSet(self, nan=self.nan)._get_dummies(cols, value)\n return self._get_dummies(cols, value)\n\n def get_interactions(self, n_power=2, cols=None, inplace=False):\n '''get_interactions(n_var=3, cols=None, inplace=False) -> SeriesSet\n create new variables by multipling each other\n\n Getting interactions of variables is a common operation\n in Feature Engineering. This function will help you\n achieve it easily.\n\n Parameters\n ----------\n n_power : int (default=2)\n the number of features to create interactions.\n For example, you have variables A and B. You want\n to create new variable with A * A * B, you should\n set n_var=3.\n\n cols : str, str in list (default=None)\n the features to create interactions.\n\n inplace : True / False (default=False)\n save the new_features in current sheet or not\n\n Returns\n -------\n new_features : SeriesSet\n\n Examples\n --------\n >>> sheet = SeriesSet({'A': [1, 1, 1, float('nan')],\n 'B': [2, 2, 2, 2],\n 'C': [3, 3, 3, 3]})\n >>> sheet.get_interactions(2).show()\n B*C | A^2 | B^2 | C^2 | A*B | A*C\n -----+-----+-----+-----+-----+-----\n 6 | 1 | 4 | 9 | 2 | 3 \n 6 | 1 | 4 | 9 | 2 | 3 \n 6 | 1 | 4 | 9 | 2 | 3 \n 6 | nan | 4 | 9 | nan | nan\n >>> sheet = SeriesSet({'A': [1, 1, 1, 1],\n 'B': [2, 2, 2, 2],})\n >>> sheet.get_interactions(3).show()\n B^3 | A*B^2 | A^3 | A^2*B\n -----+-------+-----+-------\n 8 | 4 | 1 | 2 \n 8 | 4 | 1 | 2 \n 8 | 4 | 1 | 2 \n 8 | 4 | 1 | 2 \n '''\n new_features = self._get_interactions(SeriesSet(nan=self.nan))\n if inplace is False:\n return new_features\n return self.join(new_features, inplace=True)\n\n def get_ranks(self, cols=None, duplicate='mean', inplace=False):\n '''get_ranks(cols=None, duplicate='mean', inplace=False) -> SeriesSet\n get the ranks of each row in each column\n\n Parameters\n ----------\n cols : str, str in list (default=None)\n\n duplicate : 'mean', 'first' (default='mean')\n how to rank the records which obtain the same value\n\n inplace : True / False (default=False)\n restore the ranks in a new SeriesSet or not\n\n Returns\n -------\n ranks : SeriesSet\n\n Examples\n --------\n >>> sheet = SeriesSet({'A': [2, 2, 1, 1],\n 'B': [2, 7, 5, 2],})\n >>> sheet.get_ranks(inplace=True).show()\n A | B | A_rank | B_rank\n ---+---+--------+--------\n 2 | 2 | 3.5 | 1.5 \n 2 | 7 | 3.5 | 4 \n 1 | 5 | 1.5 | 3 \n 1 | 2 | 1.5 | 1.5 \n '''\n ranks = self._get_ranks(SeriesSet(nan=self.nan), cols, duplicate)\n if inplace is False:\n return ranks\n return self.join(ranks, inplace=True)\n\n def get_nan_instrument(self, cols=None, inplace=False):\n '''create instrument variable for determining whether a variable is miss or not'''\n instruments = self._get_nan_instrument(SeriesSet(nan=self.nan), cols)\n if inplace is False:\n return instruments\n return self.join(instruments, inplace=True)\n\n def get_numeric_label(self, cols=None, inplace=False):\n '''encode string values into numerical values'''\n to_return = self if inplace is True else SeriesSet(nan=self.nan)\n return self._get_numeric_label(to_return, cols) \n\n def groupby(self, keys, func=None, apply_col=None):\n '''groupby(keys, func=None, apply_col=None)\n\n It will return the result of function of each groupby object when \n you pass a callable object in `func`. Otherwise, it will return \n each groupby subsheet in a dict.\n\n Parameters\n ----------\n keys : str, str in list\n columns that will be seem as category variable\n\n func : None or function (default=None)\n map this function to each group by subsheet\n\n apply_col : str, str in list (default=None)\n The columns will be used by the function, \n default means all columns will be used.\n \n Returns\n -------\n groupby : SeriesSet or dict\n if `func` is not None, it will be SeriesSet.\n \n Examples\n --------\n >>> from DaPy.datasets import iris\n >>> from DaPy import sum\n >>> sheet = iris()[0]\n - read() in 0.001s.\n >>> sheet.groupby('class').show(3)\n - groupby() in 0.000s.\n sheet:('virginica',)\n ====================\n sepal length | sepal width | petal length | petal width | class \n --------------+-------------+--------------+-------------+-----------\n 6.3 | 3.3 | 6.0 | 2.5 | virginica \n 5.8 | 2.7 | 5.1 | 1.9 | virginica \n 7.1 | 3.0 | 5.9 | 2.1 | virginica \n .. Omit 44 Ln .. \n 6.5 | 3.0 | 5.2 | 2.0 | virginica \n 6.2 | 3.4 | 5.4 | 2.3 | virginica \n 5.9 | 3.0 | 5.1 | 1.8 | virginica \n\n sheet:('setosa',)\n =================\n sepal length | sepal width | petal length | petal width | class \n --------------+-------------+--------------+-------------+--------\n 5.1 | 3.5 | 1.4 | 0.2 | setosa \n 4.9 | 3.0 | 1.4 | 0.2 | setosa \n 4.7 | 3.2 | 1.3 | 0.2 | setosa \n .. Omit 44 Ln .. \n 4.6 | 3.2 | 1.4 | 0.2 | setosa \n 5.3 | 3.7 | 1.5 | 0.2 | setosa \n 5.0 | 3.3 | 1.4 | 0.2 | setosa \n\n sheet:('versicolor',)\n =====================\n sepal length | sepal width | petal length | petal width | class \n --------------+-------------+--------------+-------------+------------\n 7.0 | 3.2 | 4.7 | 1.4 | versicolor \n 6.4 | 3.2 | 4.5 | 1.5 | versicolor \n 6.9 | 3.1 | 4.9 | 1.5 | versicolor \n .. Omit 44 Ln .. \n 6.2 | 2.9 | 4.3 | 1.3 | versicolor \n 5.1 | 2.5 | 3.0 | 1.1 | versicolor \n 5.7 | 2.8 | 4.1 | 1.3 | versicolor \n >>> sheet.groupby('class', dp.mean, apply_col='petal length').show()\n - groupby() in 0.001s.\n sheet:data\n ==========\n petal length | class \n --------------+------------\n 5.552 | virginica \n 1.464 | setosa \n 4.26 | versicolor \n '''\n if func is not None:\n result = tuple(self._iter_groupby(keys, func, apply_col))\n return SeriesSet(result, result[0].columns)\n\n result = {}\n for key, subset in self._iter_groupby(keys, func, None):\n result[key] = subset\n return result\n\n def sort(self, *orderby):\n '''sort(('A_col', 'DESC'), ('B_col', 'ASC')) --> Return sorted sheet\n\n You will be asked to offer at least one ordering conditions.\n The parameter should be like a tuple or a list with two elements,\n on behalf of the key value and arrangement condition (key, arrangement).\n e.g. ('D_col', 'ASC') means that ascending ordered the records\n with D_col.\n\n Parameters\n ----------\n orderby : tuple or str\n A pair of string to represent the orderby keywords,\n the tuple is kin to tuple(column_name, order).\n `order` must be 'DESC' or 'ASC'.\n \n Returns\n -------\n ordered_sheet : SeriesSet\n\n Examples\n --------\n >>> from DaPy import datasets\n >>> sheet = datasets.example()\n >>> sheet.sort(('B_col', 'DESC'), ('C_col', 'ASC')).show()\n - sort() in 0.000s.\n sheet:sample\n ============\n A_col | B_col | C_col | D_col\n ---------------------+-------+-------+-------\n 2017-02-11 00:00:00 | 9 | 2.2 | False \n 2017-02-05 00:00:00 | 5 | 1.6 | False \n 2017-02-07 00:00:00 | 4 | 1.8 | False \n 2017-02-12 00:00:00 | 4 | 2.3 | False \n 2017-02-03 00:00:00 | 3 | 1.4 | True \n 2017-02-04 00:00:00 | 3 | 1.5 | True \n 2017-02-10 00:00:00 | 2 | nan | False \n 2017-02-01 00:00:00 | 2 | 1.2 | True \n 2017-02-06 00:00:00 | 1 | 1.7 | False \n 2017-02-09 00:00:00 | nan | nan | False \n 2017-02-02 00:00:00 | nan | 1.3 | True \n 2017-02-08 00:00:00 | nan | 1.9 | False \n '''\n return self._sort(SeriesSet(nan=self.nan), *orderby)\n\n def show(self, max_lines=None, max_display=75, max_col_size=25, multi_line=True):\n '''show(lines=None) -> None\n \n Parameters\n ----------\n max_lines : None, int (default=None)\n number of rows you want to show\n\n max_display : int (default=75)\n maximum width to display\n\n max_col_size : int (default=25)\n maximum width of each column\n\n multi_line : bool (default=True)\n display values which have more than `max_col_size` letters or not\n \n Returns\n -------\n None\n\n Examples\n --------\n >>> from DaPy.datasets import example\n >>> sheet = example()\n sheet:sample\n ============\n A_col | B_col | C_col | D_col\n ---------------------+-------+-------+-------\n 2017-02-01 00:00:00 | 2 | 1.2 | True \n 2017-02-02 00:00:00 | nan | 1.3 | True \n 2017-02-03 00:00:00 | 3 | 1.4 | True \n 2017-02-04 00:00:00 | 3 | 1.5 | True \n 2017-02-05 00:00:00 | 5 | 1.6 | False \n 2017-02-06 00:00:00 | 1 | 1.7 | False \n 2017-02-07 00:00:00 | 4 | 1.8 | False \n 2017-02-08 00:00:00 | nan | 1.9 | False \n 2017-02-09 00:00:00 | nan | nan | False \n 2017-02-10 00:00:00 | 2 | nan | False \n 2017-02-11 00:00:00 | 9 | 2.2 | False \n 2017-02-12 00:00:00 | 4 | 2.3 | False \n >>> sheet.show(3)\n sheet:sample\n ============\n A_col | B_col | C_col | D_col\n ---------------------+-------+-------+-------\n 2017-02-01 00:00:00 | 2 | 1.2 | True \n 2017-02-02 00:00:00 | nan | 1.3 | True \n 2017-02-03 00:00:00 | 3 | 1.4 | True \n .. Omit 6 Ln .. \n 2017-02-10 00:00:00 | 2 | nan | False \n 2017-02-11 00:00:00 | 9 | 2.2 | False \n 2017-02-12 00:00:00 | 4 | 2.3 | False \n\n See Also\n --------\n DaPy.SeriesSet.describe()\n '''\n if self._columns == []:\n print('empty sheet instant')\n return\n assert multi_line in (True, False), '`multilines` must be True or False'\n assert isinstance(max_display, int) and max_display > 0, '`max_display` must be an integer'\n assert isinstance(max_col_size, int) and max_col_size > 0, '`max_col_size` must be an integer'\n assert max_col_size < max_display, '`max_col_size` must be less than `max_display`'\n error = '`lines` must be an int or None.'\n assert (is_math(max_lines) and max_lines > 0) or max_lines is None, error\n if max_lines is None or 2 * max_lines >= self._dim.Ln:\n max_lines, omit = -1, 0\n str_series = SeriesSet(self)\n else:\n omit = self._dim.Ln - 2 * max_lines\n str_series = self[:max_lines]._extend(self[-max_lines:])\n\n # transfer all data into string type\n str_series.insert_row(0, self.columns)\n for key, arr in str_series.iter_items():\n str_series[key] = arr.apply(lambda val: str(val).replace('\\n', ''))\n\n # make sure each value doesn't be out of boundary\n match_size_str = re_compile(r'.{0,%s}' % max_col_size)\n not_omit = int(max_col_size // 2 - 6)\n row_line = set()\n row, omit_line = 1, -1\n for i in range(str_series.shape.Ln - 1):\n inner_row = 0\n if i == max_lines:\n omit_line = row\n for j, col in enumerate(self.columns):\n val = str_series[col][row]\n vals = match_size_str.findall(val)[:-1]\n if len(vals) != 1:\n if multi_line is False:\n str_series[col][row] = val[:not_omit] + '...' + val[-not_omit:]\n continue\n for _ in range(len(vals) - 1 - inner_row):\n inner_row += 1\n str_series.insert_row(inner_row + row, '')\n for i, val in enumerate(vals, row):\n str_series[col][i] = val\n row += inner_row + 1\n\n # begin to display\n col_size = [max(col.apply(count_str_printed_length)) for col in str_series.iter_values()]\n frame = u''\n titles_, col_size_, values_ = [], [], []\n for size, value in zip(col_size, str_series.iter_values()):\n col_size_.append(size)\n values_.append(value)\n max_len = sum(col_size_) + 3 * len(col_size_) - 1\n if max_len > max_display:\n frame += self._show(col_size_, zip(*values_), omit_line, max_len, omit) + '\\n'\n titles_, col_size_, values_ = [], [], []\n frame += self._show(col_size_, zip(*values_), omit_line, max_len, omit) + '\\n'\n print(frame)\n\n def iter_groupby(self, keys, func=None, apply_col=None):\n '''iter_groupby(keys, func=None, apply_col=None)\n\n It will return the result of function of each groupby object when \n you pass a callable object in `func`. Otherwise, it will return \n each groupby subsheet in a dict.\n\n Parameters\n ----------\n keys : str, str in list\n columns that will be seem as category variable\n\n func : None or function (default=None)\n map this function to each group by subsheet\n\n apply_col : str, str in list (default=None)\n The columns will be used by the function, \n default means all columns will be used.\n \n Returns\n -------\n groupby : Iterator of SeriesSet or Iterator of tuple\n if `func` is not None, it will be SeriesSet.\n \n Notes\n -----\n 1. Highly recommand to use .groupby instead of iter_groupby.\n '''\n for group in self._iter_groupby(keys, func, apply_col):\n yield group\n \n def items(self):\n '''items() -> list of tuple(column, Series)'''\n return [(_, self._data[_]) for _ in self.columns]\n\n def iter_items(self):\n '''iter_items() -> yield column, Series'''\n for column in self.columns:\n yield column, self._data[column]\n\n def iter_rows(self):\n '''iter_rows() -> yield tuple'''\n for row in zip(*(self._data[col] for col in self.columns)):\n yield row\n\n def iter_values(self):\n '''iter_values() -> yield Series'''\n for col in self.columns:\n yield self._data[col]\n\n def iloc(self, indexs):\n '''iloc(indexs) -> SeriesSet'''\n indexs = self._check_rows_index(indexs)\n return self._iloc(SeriesSet(nan=self.nan), indexs)\n\n @check_thread_locked\n def insert_row(self, index, new_row):\n '''insert_row(index, new_row) -> None\n Insert a new record ``item`` in position ``index``.\n\n Parameter\n ---------\n index : int\n the position of new record.\n\n item : value or iter\n an iterable object containing new record.\n\n Examples\n --------\n >>> sheet = dp.SeriesSet(range(12)).reshape((6, 2))\n >>> sheet.show()\n C_0 | C_1\n -----+-----\n 0 | 1 \n 2 | 3 \n 4 | 5 \n 6 | 7 \n 8 | 9 \n 10 | 11 \n >>> sheet.insert_row(3, ['Inserted'])\n >>> sheet.show()\n C_0 | C_1\n ----------+-----\n 0 | 1 \n 2 | 3 \n 4 | 5 \n Inserted | nan # index 3 and automatically add NaN\n 6 | 7 \n 8 | 9 \n 10 | 11 \n\n Notes\n -----\n 1. This function has been added into unit test.\n '''\n self._insert_row(index, new_row)\n\n @check_thread_locked\n def insert_col(self, index, new_series, new_name=None):\n '''insert_col(index, new_series, new_name=None) -> None\n Insert a new variable named `variable_name` with a sequencial data\n `series` in position `index`.\n\n Parameter\n ---------\n variable_name : str (default=None)\n the name of new column.\n\n new_series : sequence-like\n a sequence containing new variable values.\n\n new_name : int\n the position of new variable at.\n\n Examples\n --------\n >>> import DaPy as dp\n >>> sheet = dp.SeriesSet(range(10)).reshape((5, 2))\n >>> sheet.show()\n C_0 | C_1\n -----+-----\n 0 | 1 \n 2 | 3 \n 4 | 5 \n 6 | 7 \n 8 | 9 \n >>> sheet.insert_col(1, ['A', 'B', 'C'], 'InsertColumn')\n >>> sheet.show()\n C_0 | InsertColumn | C_1\n -----+--------------+-----\n 0 | A | 1 \n 2 | B | 3 \n 4 | C | 5 \n 6 | nan | 7 \n 8 | nan | 9 \n \n Notes\n -----\n 1. This function has been added into unit test.\n '''\n self._insert_col(index, new_series, new_name)\n\n @check_thread_locked\n def join(self, other, inplace=False):\n '''join(other: SeriesSet, inplace=False) -> SeriesSet\n right join another sheet to the current sheet\n\n This function can help you combine another sheet while it considers \n the matching column is the index of rows. To be simple, it just \n like you map append_col() to each variables in other sheet, \n but it is faster and easier to use.\n\n Examples\n --------\n >>> import DaPy as dp\n >>> sheet1 = dp.SeriesSet(\n [[11, 11],\n [21, 21],\n [31, 31],\n [41, 41]],\n ['C1', 'C2'])\n >>> sheet2 = dp.SeriesSet(\n [[21, 21],\n [22, 22],\n [23, 23],\n [24, 24]],\n ['C2', 'C3'])\n >>> sheet1.join(sheet2).show()\n C1 | C2 | C2_1 | C3\n ----+----+------+----\n 11 | 11 | 21 | 21 \n 21 | 21 | 22 | 22 \n 31 | 31 | 23 | 23 \n 41 | 41 | 24 | 24 \n\n Notes\n -----\n 1. This function has been added into unit test.\n '''\n if not isinstance(other, SeriesSet):\n if isinstance(other, Series) or all(map(is_value, other)):\n other = SeriesSet({None: other})\n if not isinstance(other, SeriesSet) and all(map(is_iter, other)):\n new_col = [title + '_1' for title in self._columns]\n other = SeriesSet(other, new_col)\n if not isinstance(other, SeriesSet):\n raise TypeError('could not extend a single value only.')\n if inplace is False:\n return SeriesSet(self, nan=self.nan)._join(other)\n return self._join(other)\n \n def keys(self):\n '''keys() - > list of column names'''\n return self.columns\n\n def merge(self, other, how='inner', self_on=0, right_on=0):\n '''right join another sheet and automatically arranged by key columns\n\n Combind two sheet together according to two keywords. \n It exactely matches the records in both sheet. \n\n Rules of Combination\n --------------------\n <1> It will compare the keywords and find the records which have\n the same value in the keywords.\n <2> It will add the new data as new variables behind the exist records.\n <3> If there is more than one record that matches the keywords of the\n two data sets, it will correspond to the sequence of the records.\n\n Parameter\n ---------\n other : array-likes\n the other sheet which is used to extend\n\n how : 'inner', 'outer', 'left', 'right' (default='inner')\n how to handle rows which not match the columns\n `left` -> Keep only all rows in the current sheet;\n `right` -> Keep only all rows in the other sheet;\n `inner` -> Keep only rows from the common parts of two tables;\n `outer` -> Keep all rows from both sheets;\n\n self_on : int, str (default=0)\n choose a column as the keyword in this sheet\n\n right_on : int, str (default=0)\n choose a column as the keyword in the other sheet\n\n Return\n ------\n None\n\n Example\n -------\n >>> left.show()\n Name | Age | gender\n ---------+------+--------\n Alan | 35 | M \n Bob | 27 | M \n Charlie | 30 | F \n Daniel | 29 | None \n None | None | F \n >>> right.show()\n Name | gender | Age \n ---------+--------+------\n Alan | M | 35 \n Bob | M | 27 \n Charlie | F | 30 \n Janny | F | 26 \n None | None | None\n\n Notes\n -----\n 1. This function has been added into unit test.\n '''\n assert how in ('inner', 'outer', 'left', 'right')\n if isinstance(other, SeriesSet) is False:\n other = SeriesSet(other)\n self_on = self._check_columns_index(self_on)\n right_on = other._check_columns_index(right_on)\n assert len(self_on) == len(right_on) == 1, 'only support single index'\n self_on, right_on = self_on[0], right_on[0]\n\n # match the records according to the index\n joined = SeriesSet(nan=self.nan)\n if how == 'left':\n return left_join(self, other, self_on, right_on, joined)\n if how == 'outer':\n return outer_join(self, other, self_on, right_on, joined)\n if how == 'inner':\n return inner_join(self, other, self_on, right_on, joined)\n return left_join(other, self, right_on, self_on, SeriesSet(nan=other.nan))\n\n @check_thread_locked\n def normalized(self, process='NORMAL', cols=None, inplace=False):\n '''normalized(process='NORMAL', cols=None, inplace=False, **kwrds):\n\n Parameters\n ----------\n process : str (default='NORMAL')\n which process you wish to apply\n `NORMAL` -> operate the data so that its arrange between 0 to 1.\n `STANDAR` -> operate the data so that its mean is 0 and variance is 1.\n `LOG` -> find the logarithm of X.\n `BOX-COX` -> Box-Cox operation\n\n col : str, str in list (default='all')\n which column you wish to operate\n\n min : float (default=Min(X))\n Available when process is NORMAL\n\n range : float, int (default=Range(X))\n Available when process is NORMAL\n\n mean : float (default=mean(X))\n Available when process is STANDAR\n\n std : float (default=std(X))\n Available when process is STANDAR\n\n a : float (default=0)\n Available when process is BOX-COX\n\n k : float (default=1)\n Available when process is BOX-COX\n \n lamda : float (default=1)\n Available when process is BOX-COX\n \n base : float (default=e)\n Available when process is LOG\n \n Examples\n --------\n >>> from DaPy import datasets\n >>> data = datasets.example()\n >>> data.info\n sheet:sample\n ============\n 1. Structure: DaPy.SeriesSet\n 2. Dimensions: Lines=12 | Variables=4\n 3. Miss Value: 0 elements\n Descriptive Statistics \n ======================================================\n Title | Miss | Min | Max | Mean | Std | Skew | Kurt \n -------+------+-----+-----+------+------+------+------\n A_col | 0 | 1 | 6 | 3.00 | 1.35 | 0.63 |57.05 \n B_col | 0 | 1 | 9 | 4.33 | 2.56 | 3.11 |29.84 \n C_col | 0 | 1 | 8 | 3.33 | 2.59 | 3.13 |15.63 \n D_col | 0 | 2 | 6 | 3.50 | 1.38 | 0.61 |81.70 \n ======================================================\n >>> data.normalized()\n >>> data.info\n sheet:sample\n ============\n 1. Structure: DaPy.SeriesSet\n 2. Dimensions: Lines=12 | Variables=4\n 3. Miss Value: 0 elements\n Descriptive Statistics \n ======================================================\n Title | Miss | Min | Max | Mean | Std | Skew | Kurt \n -------+------+-----+-----+------+------+------+------\n A_col | 0 | 0 | 1 | 0.08 | 0.28 | 0.44 |11.28 \n B_col | 0 | 0 | 1 | 0.17 | 0.37 | 0.41 | 5.64 \n C_col | 0 | 0 | 1 | 0.17 | 0.37 | 0.41 | 5.64 \n D_col | 0 | 0 | 1 | 0.08 | 0.28 | 0.44 |11.28 \n ======================================================\n '''\n if inplace is False:\n return SeriesSet(self, nan=self._nan)._normalized(process, cols)\n return self._normalized(process, cols)\n\n def pop(self, index=-1, axis=0):\n '''pop(index=-1, axis=0) -> SeriesSet\n\n Remove and return the data of `index` along the `axis`\n\n Parameters\n ----------\n index : int, str, str in list or int in list (default=-1)\n\n axis : 0 or 1 (default=-1)\n 0 -> `index` is the index of rows\n 1 -> `index` is the index of columns\n \n Returns\n -------\n pop_sheet : SeriesSet\n\n See Also\n --------\n DaPy.SeriesSet.pop_row()\n DaPy.SeriesSet.pop_col()\n\n Notes\n -----\n 1. Function won't be locked when sheet.locked is False and \n axis is 1.\n '''\n assert axis in (0, 1)\n if axis == 0:\n return self.pop_row(index)\n return self.pop_col(index)\n\n @check_thread_locked\n def pop_row(self, index=-1):\n '''pop_row(index=-1) -> SeriesSet\n pop(remove & return) record(s) from the sheet\n\n Delete and return the record in position ``index``.\n\n Parameters\n ----------\n index : int, int in list (default=-1)\n the row indexes you expected to pop with\n \n Returns\n -------\n Poped_sheet : SeriesSet\n\n Examples\n --------\n >>> import DaPy as dp\n >>> sheet = dp.SeriesSet(\n [[1, 1, 1, 1],\n [2, 2, 2, 2], \n [3, 3, 3, 3],\n [4, 4, 4, 4]]\n )\n >>> sheet.pop_row([1, 2]).show()\n C_0 | C_1 | C_2 | C_3\n -----+-----+-----+-----\n 2 | 2 | 2 | 2 \n 3 | 3 | 3 | 3 \n >>> sheet.show()\n C_0 | C_1 | C_2 | C_3\n -----+-----+-----+-----\n 1 | 1 | 1 | 1 \n 4 | 4 | 4 | 4 \n\n Notes\n -----\n 1. Function is locked when sheet.locked is False!\n '''\n return self._pop_row(SeriesSet(nan=self.nan), index)\n\n @check_thread_locked\n def pop_col(self, col=-1):\n '''pop_col(col=-1) -> SeriesSet\n pop(remove & return) column(s) from the sheet\n\n Delete and return all the variables in `col`.\n `col` could assignment as a number or some variable name.\n\n Parameters\n ----------\n col : int, str, str in list (default=-1)\n The columns you expect to drop out, \n int n means the nth variable. \n And default value -1 means the last column.\n \n Returns\n -------\n Poped_sheet : SeriesSet\n\n Examples\n --------\n >>> import DaPy as dp\n >>> sheet = dp.SeriesSet([[1,2,3,4],\n [2,3,4,5],\n [3,4,5,6],\n [4,5,6,7],\n [5,6,7,8]])\n >>> sheet.pop_col([1, 'C_2'])\n C_1: <2, 3, 4, 5, 6>\n C_2: <3, 4, 5, 6, 7>\n >>> sheet\n C_0: <1, 2, 3, 4, 5>\n C_3: <4, 5, 6, 7, 8>\n\n Notes\n -----\n 1. Function won't be locked when sheet.locked is False!\n '''\n return self._pop_col(SeriesSet(nan=self._nan), col)\n\n @check_thread_locked\n def reverse(self, axis=0, inplace=True):\n '''reverse(axis=0, inplace=True) -> SeriesSet'''\n if inplace is True:\n return self._reverse(axis)\n return SeriesSet(self)._reverse(axis)\n\n def reshape(self, nshape=None, axis=0):\n '''Gives a new shape without changing its data.\n \n Parameters\n ----------\n nshape : None or tuple of ints (default=None)\n The new shape should be compatible with the original shape. If\n an integer, then the result will be a 1-D array of that length.\n One shape dimension can be -1. In this case, the value is\n inferred from the length of the array and remaining dimensions.\n\n axis : int, 0 or 1 (default=0)\n Appending the values from the exist sheet along which axis. \n 0 -> iter rows at first\n 1 -> iter columns at first\n\n Returns\n -------\n reshaped_sheet : SeriesSet\n \n Examples\n --------\n >>> sheet = dp.SeriesSet(range(12))\n >>> sheet\n C_0: <0, 1, 2, 3, 4, ... ,7, 8, 9, 10, 11>\n >>> sheet.reshape((3, 4)).show()\n C_0 | C_1 | C_2 | C_3\n -----+-----+-----+-----\n 0 | 1 | 2 | 3 \n 4 | 5 | 6 | 7 \n 8 | 9 | 10 | 11 \n >>> sheet.reshape((6, -1)).show()\n C_0 | C_1\n -----+-----\n 0 | 1 \n 2 | 3 \n 4 | 5 \n 6 | 7 \n 8 | 9 \n 10 | 11 \n '''\n type_error = '`new_shape` must be contained by a tuple'\n assert is_seq(nshape) or nshape is None, type_error\n if nshape == -1:\n return self.flatten(axis)\n \n total_values = self.shape.Ln * self.shape.Col\n nshape = list(nshape)\n if len(nshape) == 1:\n nshape.append(-1)\n assert len(nshape) == 2 and nshape.count(-1) <= 1\n if -1 == nshape[0]:\n nshape[0] = total_values / float(nshape[1])\n if -1 == nshape[1]:\n nshape[1] = total_values / float(nshape[0])\n assert isinstance(nshape[0], int), isinstance(nshape[1], int)\n assert nshape[0] > 0 and nshape[1] > 0\n err = \"can't reshape size %s into shape %s\" % (self.shape, nshape)\n assert nshape[0] * nshape[1] == total_values, err\n \n shape_ln = nshape[1]\n sheet, row = [], []\n for i, value in enumerate(self._flatten(axis), 1):\n row.append(value)\n if i % shape_ln == 0:\n sheet.append(row)\n row = []\n return SeriesSet(sheet, nan=self.nan)\n\n @check_thread_locked\n def replace(self, old, new, col=None, regex=False):\n '''replace(old, new, col=None, regex=False)\n transform the old value(s) to new value(s) inplace\n sheet.replace('A', 'Good', col=None)\n sheet.replace(['A', 'B'], ['Good', 'Bad'], col=None)\n sheet.replace(r'\\d{4}[-]\\d{1,2}[-]\\d{1,2}', 'Date', regex=True)\n \n In contrast with update, this function can only be used to \n directely transform value(s) to value(s), thus it is little\n faster. It also automatically uses Index to speed up the \n process if you have set one.\n\n Parameters\n ----------\n old : value or values in list \n the value(s) to be converted\n \n new : value or values in list \n the value(s) that is changed to\n \n col : str, int or None (default=None)\n affected columns \n \n regex : True / False (default=False)\n the pattern is a regex or not\n \n Returns\n -------\n None\n\n Examples\n --------\n >>> sheet = dp.SeriesSet(\n [['Jackson', 20, 'M', 'Died by accident'],\n ['Bob', 21, 'M', 'Died by natural causes'],\n ['Alice', 19, 'F', 'Died by accident'],\n ['Brown', 19, 'M', 'Died by natural causes']],\n ['Name', 'Age', 'Gender', 'DESC'])\n >>> sheet.replace(20, 1).show() \n Name | Age | Gender | DESC \n ---------+-----+--------+------------------------\n Jackson | 1 | M | Died by accident \n Bob | 21 | M | Died by natural causes \n Alice | 19 | F | Died by accident \n Brown | 19 | M | Died by natural causes \n >>> sheet.replace('(Died by)', '->', col='DESC', regex=True).show() \n Name | Age | Gender | DESC \n ---------+-----+--------+-------------------\n Jackson | 1 | M | -> accident \n Bob | 21 | M | -> natural causes \n Alice | 19 | F | -> accident \n Brown | 19 | M | -> natural causes \n '''\n return self._replace(old, new, col, regex)\n\n @check_thread_locked\n def update(self, where, **set_values):\n '''update(where, **set_values) -> SeriesSet'''\n return self._update(where, **set_values)\n \n @check_thread_locked\n def shuffle(self, inplace=False):\n '''shuffle(inplace=True) -> SeriesSet'''\n if inplace is True:\n return self._shuffle()\n return SeriesSet(self, nan=self._nan)._shuffle()\n\n def select(self, where, col=None, limit=1000):\n '''Return records from the sheet depending on `where`\n sheet.select(lambda row: row.age != 30, col='Name', limit=10)\n Equal SQL: SELECT Name FROM sheet WHERE age != 30 LIMIT 10;\n\n You can select the records from the sheet depending on your `where`\n condition. This condition must be a callable object and return value.\n Using the parameter `col` is faster than select the whole sheet at first \n and get columns later. Also, `limit` is useful too when you just \n need some records. \n\n Parameters\n ----------\n where : callable object\n a function to process each row\n\n col : None, str or list (default=None)\n which columns you want to select\n\n limit : int, 'all' (default=1000)\n the maximum number of rows you want to select,\n this is a good way to speed up selection from\n million of rows if you need only 1 of them\n in each time.\n\n Returns\n -------\n subset : SeriesSet\n the selection result according to your statement.\n\n Examples\n --------\n >>> from DaPy import datasets\n >>> sheet = datasets.example()\n >>> sheet.show()\n A_col | B_col | C_col | D_col\n ---------------------+-------+-------+-------\n 2017-02-01 00:00:00 | 2 | 1.2 | True \n 2017-02-02 00:00:00 | nan | 1.3 | True \n 2017-02-03 00:00:00 | 3 | 1.4 | True \n 2017-02-04 00:00:00 | 3 | 1.5 | True \n 2017-02-05 00:00:00 | 5 | 1.6 | False \n 2017-02-06 00:00:00 | 1 | 1.7 | False \n 2017-02-07 00:00:00 | 4 | 1.8 | False \n 2017-02-08 00:00:00 | nan | 1.9 | False \n 2017-02-09 00:00:00 | nan | nan | False \n 2017-02-10 00:00:00 | 2 | nan | False \n 2017-02-11 00:00:00 | 9 | 2.2 | False \n 2017-02-12 00:00:00 | 4 | 2.3 | False \n\n >>> sheet.select(lambda row: row.A_col == 1).show()\n A_col | B_col | C_col | D_col\n ---------------------+-------+-------+-------\n 2017-02-06 00:00:00 | 1 | 1.7 | False \n \n >>> sheet.select(lambda row: row.A_col > 2 and row.B_col > 3).show()\n A_col | B_col | C_col | D_col\n ---------------------+-------+-------+-------\n 2017-02-03 00:00:00 | 3 | 1.4 | True \n 2017-02-04 00:00:00 | 3 | 1.5 | True \n 2017-02-05 00:00:00 | 5 | 1.6 | False \n 2017-02-07 00:00:00 | 4 | 1.8 | False \n\n See Also\n --------\n DaPy.SeriesSet.query\n '''\n if limit is None:\n limit = self.shape.Ln\n col = self._check_columns_index(col)\n sub_index = self._where_by_rows(where, limit)\n return self._iloc(SeriesSet(nan=self.nan), sub_index)[col]\n \n def sum(self, axis=0, col=None):\n assert axis in (0, 1, None)\n col = self._check_columns_index(col)\n\n if axis == 1:\n values = tuple(sum(_) for _ in self[col].values())\n return SeriesSet((values,), col, nan=self.nan)[0]\n \n if axis == 0:\n return Series(sum(_) for _ in self[col].iter_rows())\n \n return sum(chain(*self[col].values()))\n\n def values(self):\n for col in self.columns:\n yield self._data[col]\n \n\nclass Frame(BaseSheet):\n\n '''Variable stores in sequenes\n '''\n\n def __init__(self, series=None, columns=None, nan=float('nan')):\n raise NotImplementedError('this class has been abandened, please use SeriesSet')\n" }, { "path": "DaPy/core/base/Views/__init__.py", "content": "" }, { "path": "DaPy/core/base/__init__.py", "content": "from .Sheet import SeriesSet, Frame\nfrom .Matrix import Matrix\nfrom .Series import Series\nfrom .utils import is_seq, is_iter, is_math, is_value, is_str, pickle\nfrom .utils import auto_plus_one, argsort, auto_str2value, fast_str2value\nfrom .utils import range, xrange, map, zip, filter, PYTHON3, PYTHON2\nfrom .constant import VALUE_TYPE, STR_TYPE, MATH_TYPE, SEQ_TYPE\nfrom .constant import pickle, nan, inf\nfrom .constant import LogInfo, LogWarn, LogErr\n\n__all__ = [\n 'SeriesSet', 'Frame', 'Matrix', # 2-dim data structures\n 'is_seq', 'is_iter', 'is_math', 'is_value', # funcs for judgement data\n 'get_sorted', # funcs for data process\n 'range', 'filter', # funcs for supporting python3\n ] \n" }, { "path": "DaPy/core/base/absents/Frame.py", "content": "class Frame(BaseSheet):\n '''Maintains the data as records.\n '''\n\n def __init__(self, frame=None, columns=None, nan=None):\n self._data = []\n BaseSheet.__init__(self, frame, columns, nan)\n\n @property\n def info(self):\n new_m_v = map(str, self._missing)\n max_n = len(max(self._columns, key=len))\n\n info = ''\n for i in xrange(self._dim.Col):\n info += ' ' * 15\n info += self._columns[i].center(max_n) + '| '\n info += ' ' + new_m_v[i] + '\\n'\n\n print('1. Structure: DaPy.Frame\\n' +\n '2. Dimensions: Ln=%d | Col=%d\\n' % self._dim +\n '3. Miss Value: %d elements\\n' % sum(self._missing) +\n '4. Columns: ' + 'Title'.center(max_n) + '|' +\n ' Miss\\n' + info)\n\n @property\n def T(self):\n return Frame(self.iter_values(), None, self.nan)\n\n def _init_col(self, obj, columns):\n if columns is None:\n columns = copy(obj._columns)\n self._data = [list(record) for record in zip(*list(obj.values()))]\n self._missing = copy(obj._missing)\n self._dim = SHEET_DIM(obj._dim.Ln, obj._dim.Col)\n self._init_col_name(columns)\n\n def _init_frame(self, frame, columns):\n if columns is None:\n columns = copy(obj._columns)\n self._data = deepcopy(frame._data)\n self._dim = copy(frame._dim)\n self._init_col_name(columns)\n self._missing = copy(frame._missing)\n\n def _init_dict(self, frame, columns):\n if columns is None:\n columns = list(obj.keys())\n frame = copy(frame)\n self._dim = SHEET_DIM(max(map(len, frame.values())), len(frame))\n self._missing = [0] * self._dim.Col\n self._init_col_name(columns)\n for i, (title, col) in enumerate(frame.items()):\n miss, sequence = self._check_sequence(col, self._dim.Ln)\n frame[title] = sequence\n self._missing[i] += miss\n self._data = [list(record) for record in zip(*frame.values())]\n\n def _init_like_table(self, frame, columns):\n self._data = map(list, frame)\n dim_Col, dim_Ln = len(max(self._data, key=len)), len(frame)\n self._dim = SHEET_DIM(dim_Ln, dim_Col)\n self._missing = [0] * self._dim.Col\n\n for i, item in enumerate(self._data):\n if len(item) < dim_Col:\n item.extend([self._nan] * (dim_Col - len(item)))\n for j, value in enumerate(item):\n if value == self.nan or value is self.nan:\n self._missing[j] = self._missing[j] + 1\n self._init_col_name(columns)\n\n def _init_like_seq(self, frame, columns):\n self._data = [[value, ] for value in frame]\n self._dim = SHEET_DIM(len(frame), 1)\n self._init_col_name(columns)\n self._missing.append(self._check_sequence(frame, len(frame))[0])\n\n def __repr__(self):\n return self.show(30)\n\n def _getslice_col(self, i, j):\n new_data = [record[i: j + 1] for record in self._data]\n return Frame(new_data, self._columns[i: j + 1], self._nan)\n\n def _getslice_ln(self, i, j, k):\n return Frame(self._data[i:j:k], self._columns, self._nan)\n\n def __getitem__(self, interval):\n if isinstance(interval, int):\n return Row(self, interval)\n\n elif isinstance(interval, slice):\n return self.__getslice__(interval)\n\n elif is_str(interval):\n col = self._columns.index(interval)\n return [item[col] for item in self._data]\n\n elif isinstance(interval, (tuple, list)):\n return_obj = Frame()\n return self._getitem_by_tuple(interval, return_obj)\n\n else:\n raise TypeError('item must be represented as slice, int, str.')\n\n def __iter__(self):\n for i in xrange(self._dim.Ln):\n yield Row(self, i)\n\n def append_row(self, item):\n '''append a new record to the Frame tail\n '''\n item = self._add_row(item)\n self._data.append(item)\n\n def append_col(self, series, variable_name=None):\n '''append a new variable to the current records tail\n '''\n miss, series = self._check_sequence(series, self._dim.Ln)\n size = len(series) - self._dim.Ln\n if size > 0:\n self._missing = [m + size for m in self._missing]\n self._data.extend(\n [[self._nan] * self._dim.Col for i in xrange(size)])\n\n self._missing.append(miss)\n for record, element in zip(self._data, series):\n record.append(element)\n self._columns.append(self._check_col_new_name(variable_name))\n self._dim = SHEET_DIM(max(self._dim.Ln, len(series)), self._dim.Col + 1)\n assert len(self._missing) == self._dim.Col == len(self.columns)\n\n def count(self, X, point1=None, point2=None):\n if is_value(X):\n X = (X,)\n counter = Counter()\n L1, C1, L2, C2 = self._check_area(point1, point2)\n\n for record in self._data[L1:L2 + 1]:\n for value in record[C1:C2 + 1]:\n if value in X:\n counter[value] += 1\n\n if len(X) == 1:\n return counter[X[0]]\n return dict(counter)\n\n def extend(self, other, inplace=False):\n if isinstance(other, Frame):\n if inplace is False:\n self = SeriesSet(Frame)\n new_title = 0\n for title in other._columns:\n if title not in self._columns:\n self._columns.append(title)\n new_title += 1\n\n for record in self._data:\n record.extend([self._nan] * new_title)\n\n extend_part = [[self._nan] * len(self._columns)\n for i in xrange(len(other))]\n new_title_index = [self._columns.index(title)\n for title in other._columns]\n self._dim = SHEET_DIM(len(self) + len(other), len(self._columns))\n self._missing.extend([self._dim.Ln] * new_title)\n\n for i, record in enumerate(other._data):\n for j, value in zip(new_title_index, record):\n if value == other._nan:\n value = self._nan\n extend_part[i][j] = value\n self._data.extend(extend_part)\n return self\n\n elif isinstance(other, SeriesSet):\n return self.extend(Frame(other), inplace)\n\n else:\n return self.extend(Frame(other, self._columns), inplace)\n\n def join(self, other, inplace=False):\n if isinstance(other, Frame):\n if inplace is False:\n self = Frame(self)\n for title in other._columns:\n self._columns.append(self._check_col_new_name(title))\n self._missing.extend(other._missing)\n\n for i, record in enumerate(other._data):\n if i < self._dim.Ln:\n current_record = self._data[i]\n else:\n current_record = [self._nan] * self._dim.Col\n self._data.append(current_record)\n for value in record:\n if value == other.nan:\n value = self._nan\n current_record.append(value)\n if i < self._dim.Ln:\n for record in self._data[i + 1:]:\n record.extend([self._nan] * other.shape.Col)\n self._dim = SHEET_DIM(len(self._data), len(self._columns))\n return self\n\n else:\n self.join(Frame(other, nan=self.nan), inplace)\n\n def insert_row(self, index, item):\n '''insert a new record to the frame with position `index`\n '''\n item = self._add_row(item)\n self._data.insert(index, item)\n\n def insert_col(self, index, series, variable_name=None):\n '''insert a new variable to the current records in position `index`\n '''\n miss, series = self._check_sequence(series)\n\n size = len(series) - self._dim.Ln\n if size > 0:\n for i in xrange(self._dim.Col):\n self._missing[i] += size\n self._data.extend([[self._nan] * self._dim.Col\n for i in xrange(size)])\n\n self._missing.insert(index, miss)\n for i, element in enumerate(series):\n self._data[i].insert(index, element)\n self._columns.insert(index, self._check_col_new_name(variable_name))\n self._dim = SHEET_DIM(max(self._dim.Ln, size), self._dim.Col + 1)\n\n def items(self):\n for i, sequence in enumerate(zip(*self._data)):\n yield self._columns[i], list(sequence)\n\n def keys(self):\n return self._columns\n\n def pop_row(self, pos=-1):\n '''pop(remove & return) a record from the Frame\n '''\n err = 'an int or ints in list is required.'\n assert isinstance(pos, (int, list, tuple)), err\n if isinstance(pos, int):\n pos = [pos, ]\n pos = sorted(pos, reverse=True)\n pop_item = Frame([self._data.pop(pos_)\n for pos_ in pos], list(self._columns))\n self._dim = SHEET_DIM(self._dim.Ln - len(pos), self._dim.Col)\n self._missing = map(\n lambda x, y: x - y,\n self._missing,\n pop_item._missing)\n return pop_item\n\n def from_file(self, addr, **kwrd):\n '''read dataset from csv or txt file.\n '''\n raise NotImplementedError('use DaPy.SeriesSet.from_file()')\n \n def reverse(self):\n self._data.reverse()\n\n def shuffle(self):\n shuffles(self._data)\n\n def _values(self):\n for sequence in zip(*self._data._data):\n yield list(sequence)\n\n def values(self):\n for sequence in zip(*self._data):\n yield Series(sequence)\n\n\n def pop_col(self, pos=-1):\n '''pop(remove & return) a series from the Frame\n '''\n pop_name = self._check_columns_index(pos)\n for name in pop_name:\n index = self._columns.index(name)\n self._columns.pop(index)\n self._missing.pop(index)\n\n pop_data = [[] for i in xrange(len(pop_name))]\n new_data = [0] * self._dim.Ln\n for j, record in enumerate(self._data):\n line = []\n for i, value in enumerate(record):\n if i in pop_name:\n pop_data[pop_name.index(i)].append(value)\n else:\n line.append(value)\n new_data[j] = line\n\n self._dim = SHEET_DIM(self._dim.Ln, self._dim.Col - len(pos))\n self._data = new_data\n return SeriesSet(dict(zip(pop_name, pop_data)))\n\n def dropna(self, axis='LINE'):\n '''pop all records that maintains miss value while axis is `LINE` or\n pop all variables that maintains miss value while axis is `COL`\n '''\n pops = []\n if str(axis).upper() in ('0', 'LINE'):\n for i, record in enumerate(self._data):\n if self._nan in record:\n pops.append(i)\n\n if str(axis).upper() in ('1', 'COL'):\n for i, sequence in enumerate(zip(*self._data)):\n if self._nan in sequence:\n pops.append(self._columns[i])\n\n if len(pops) != 0:\n self.__delitem__(pops)\n\n\n" }, { "path": "DaPy/core/base/constant.py", "content": "from array import array\nfrom collections import Iterable, deque, namedtuple\nfrom datetime import datetime\nfrom sys import version_info\nfrom time import struct_time\nfrom logging import (info as LogInfo, warning as LogWarn,\n error as LogErr, basicConfig, INFO)\n\nbasicConfig(level=INFO, format=' - %(message)s')\nsysVersion = version_info.major\n\nnan = float('nan')\ninf = float('inf')\nSTR_TYPE = [str, bytes]\nMATH_TYPE = [int, float, complex]\nVALUE_TYPE = [bool, type(None), datetime] \nSEQ_TYPE = [list, tuple, deque, array, set, frozenset, bytearray]\n\ntry:\n import cPickle as pickle\nexcept ImportError:\n import pickle\n\ntry:\n from numpy import ndarray, array, float64, float32, int64, int32\n MATH_TYPE.extend([float64, float32, int64, int32])\n from numpy.matrixlib.defmatrix import matrix\n SEQ_TYPE.extend([ndarray, matrix])\n from pandas import Series, DataFrame, Index\n SEQ_TYPE.extend([Series, DataFrame, Index])\nexcept ImportError:\n pass\n\nif version_info.major == 2:\n VALUE_TYPE.extend([unicode, long])\n MATH_TYPE.append(long)\n STR_TYPE.append(unicode)\n PYTHON3, PYTHON2 = False, True\nelse:\n PYTHON2, PYTHON3 = False, True\n\ntry:\n import cPickle as pickle\nexcept ImportError:\n import pickle\n\nVALUE_TYPE = tuple(VALUE_TYPE + STR_TYPE + MATH_TYPE)\nSTR_TYPE = tuple(STR_TYPE)\nMATH_TYPE = tuple(MATH_TYPE)\nSEQ_TYPE = tuple(SEQ_TYPE)\n\nSHEET_DIM = namedtuple('sheet', ['Ln', 'Col'])\n\nDUPLICATE_KEEP = {'first': slice(1, None),\n 'last': slice(0, -1),\n False: slice(None, None)}\n" }, { "path": "DaPy/core/base/row.py", "content": "from collections import Iterable, OrderedDict, Sequence\nfrom copy import copy\nfrom .constant import STR_TYPE, VALUE_TYPE, MATH_TYPE, SEQ_TYPE\nfrom .utils import range, xrange, map, zip, filter, is_iter\n\n__all__ = ['Row']\n\nclass Row(Sequence):\n '''This class is a view of a row of source sheet\n\n This class can help you quickly get the each row of the source sheet,\n and it will return the current data of that row. Operations to this object\n will be mapped to the source sheet. Also, any difference in the source sheet\n can be shown from here.\n\n Parameters\n ----------\n sheet : Reference of the source sheet\n\n line : the row number of this view\n\n Examples\n --------\n >>> from DaPy import SeriesSet\n >>> sheet = SeriesSet([[0, 0, 0, 0], [1, 1, 1, 1]], ['A', 'B', 'C', 'D'])\n >>> row0 = sheet[0] # class Row\n >>> row0\n [0, 0, 0, 0]\n >>>\n >>> sheet['A'][0] += 1\n >>> row0\n [1, 0, 0, 0]\n >>>\n >>> sheet.shape\n sheet(Ln=2, Col=4)\n >>> row0.append(1)\n >>> row0\n [1, 0, 0, 0, 1]\n >>> print sheet.show()\n A | B | C | D | C_4 \n ---+---+---+---+------\n 1 | 0 | 0 | 0 | 1 \n 1 | 1 | 1 | 1 | None \n '''\n \n def __init__(self, sheet, line):\n self._sheet = sheet\n self._line = line\n\n @property\n def sheet(self):\n return self._sheet\n\n @property\n def columns(self):\n return self._sheet.columns\n\n @property\n def data(self):\n return [_[self._line] for _ in self._sheet.values()]\n\n def __iter__(self):\n for seq in self._sheet.values():\n yield seq[self._line]\n\n def __getattr__(self, index):\n if index in self._sheet.data:\n return self.sheet[index][self._line]\n raise AttributeError('Row has not attribute or column named %s.' % index)\n\n def __eq__(self, y):\n if is_iter(y) is True and len(y) == len(self):\n for left, right in zip(self.data, y):\n if left != right:\n return False\n return True\n return False\n\n def __contains__(self, y):\n return y in self.data\n\n def __delitem__(self, y):\n if y in self.columns:\n self._sheet.__delitem__(y)\n else:\n self._sheet.__delitem__(self.columns[y])\n\n def __len__(self):\n return self._sheet.shape.Col\n\n def __str__(self):\n return self.__repr__()\n\n def __repr__(self):\n return '%s' % str(self.data)\n\n def __getitem__(self, index):\n if isinstance(index, int):\n return self.data[index]\n\n if isinstance(index, STR_TYPE):\n return self._sheet._data[index][self._line]\n\n if isinstance(index, slice):\n if None == index.start and None == index.stop:\n return self.data\n\n if None == index.start:\n if isinstance(index.stop, STR_TYPE):\n return self.data[:self.columns.index(index.stop)+1]\n return self.data[:index.stop]\n\n if None == index.stop:\n if isinstance(index.start, STR_TYPE):\n return self.data[self.columns.index(index.start):]\n return self.data[index.start:]\n\n if isinstance(index.start, STR_TYPE):\n return self.data[self.columns.index(index.start):\n self.columns.index(index.stop)+1]\n return self.data[index]\n\n if isinstance(index, tuple):\n return [self.__getitem__(subindex) for subindex in index]\n \n raise AttributeError('unknow statement row[%s]' % index)\n\n def __setitem__(self, index, value):\n if isinstance(index, slice):\n raise NotImplementedError('unsupported set multiple values at the same time')\n \n elif isinstance(index, int):\n if isinstance(self._sheet.data, dict):\n self._sheet._data[self.columns[index]][self._line] = value\n else:\n self.data[index] = value\n if value == self._sheet.nan:\n self._sheet._missing[index] += 1\n\n elif isinstance(index, STR_TYPE):\n self._sheet._data[index][self._line] = value\n if self._sheet._isnan(value):\n index = self.columns[index]\n self._sheet._missing[index] += 1\n \n else:\n raise ValueError('unknow statement row[%s] = %s' % (index, value))\n\n def _get_new_column(self, value):\n col = [self._sheet.nan] * self._sheet.shape.Ln\n col[self._line] = value\n return col\n \n def append(self, value):\n append_col = self._get_new_column(value)\n self._sheet.append_col(append_col)\n\n def count(self, value):\n return self.data.count(value)\n\n def extend(self, iterable):\n exist = self.data\n exist.extend(iterable)\n self._sheet[self._line] = exist\n \n def get(self, index, default=None):\n if isinstance(index, int):\n if index < 0:\n index += len(self.columns)\n if index >= len(self.columns):\n return default\n index = self.columns[index]\n return self._sheet.get(index, default)\n \n def index(self, value):\n return self.data.index(value)\n\n def insert(self, index, value):\n append_col = self._get_new_column(value)\n self._sheet.insert_col(index, append_col)\n \n def pop(self, index):\n return self._sheet.pop_col(index)[self._line]\n\n def remove(self, value):\n index = self.data.index(value)\n self._sheet.pop_col(index)\n\n def tolist(self):\n return self.data\n\n\nSEQ_TYPE += (Row,)\n" }, { "path": "DaPy/core/base/utils/__init__.py", "content": "from math import isnan as _isnan\nfrom re import compile as _compile\nfrom operator import itemgetter\nfrom collections import Counter\n\nfrom DaPy.core.base.constant import PYTHON2, PYTHON3, STR_TYPE\n\nfrom .utils_2to3 import (filter, map, pickle, range, split,\n strip, xrange, zip, zip_longest)\nfrom .utils_isfunc import is_empty, is_iter, is_math, is_seq, is_str, is_value, is_dict\nfrom .utils_str_transfer import _str2bool, _str2date, _str2percent\n\n__all__ = ['str2value', 'argsort', 'hash_sort',\n 'is_value', 'is_math', 'is_iter', 'is_seq', \n 'range', 'xrange', 'map', 'zip', 'filter']\n\n# since these functions are commonly used,\n# we use saching mechanisms to optimize them.\nif PYTHON3 is True:\n from functools import lru_cache\nelse:\n from repoze.lru import lru_cache\n\ntry:\n from .string_transfer import str2int, str2float, str2pct, str2bool, str2datetime as str2date\nexcept ImportError:\n from .py_string_transfer import str2int, str2float, str2pct, str2bool, str2datetime as str2date\n \ndef isnan(value):\n try:\n return _isnan(value)\n except Exception:\n return False\n\n# following masks are used to recognize string patterns\nFLOAT_MASK = _compile(r'^[-+]?[0-9]\\d*\\.\\d*$|[-+]?\\.?[0-9]\\d*$')\nPERCENT_MASK = _compile(r'^[-+]?[0-9]\\d*\\.\\d*%$|[-+]?\\.?[0-9]\\d*%$')\nINT_MASK = _compile(r'^[-+]?[-0-9]\\d*$')\nDATE_MASK = _compile('^(?:(?!0000)[0-9]{4}([-/.]?)(?:(?:0?[1-9]|1[0-2])([-/.]?)(?:0?[1-9]|1[0-9]|2[0-8])|(?:0?[13-9]|1[0-2])([-/.]?)(?:29|30)|(?:0?[13578]|1[02])([-/.]?)31)|(?:[0-9]{2}(?:0[48]|[2468][048]|[13579][26])|(?:0[48]|[2468][048]|[13579][26])00)([-/.]?)0?2([-/.]?)29)$')\nBOOL_MASK = _compile('^(true)|(false)|(yes)|(no)|(\\u662f)|(\\u5426)|(on)|(off)$')\n\ndef auto_str2value(value, dtype=None):\n '''using preview masks to auto transfer a string to matchest date type\n\n Parameters\n ----------\n value : str \n the string object that you expect to transfer\n\n dtype : str (default=None)\n \"float\" -> transfer value into float type\n \"int\" -> transfer value into int type\n \"bool\" -> transfer value into bool type\n \"datetime\" -> transfer value into datetime type\n \"percent\" -> str2value.auto(\"3.3\", 'percent') -> 0.033\n \"str\" -> drop out all blanks in the both sides\n\n Examples\n --------\n >>>> str2value.auto('3')\n 3\n >>> str2value.auto('3.3')\n 3.3\n >>> str2value.auto(' 3.3.')\n '3.3.'\n >>> str2value.auto('2019-3-23')\n datetime.datetime(2019, 3, 23, 0, 0)\n >>> str2value.auto('3.3%')\n 0.033\n >>> str2value.auto('Yes')\n True\n '''\n if dtype is not None:\n assert isinstance(dtype, STR_TYPE), 'prefer_type should be a string'\n assert dtype.lower() in ('float', 'int', 'bool', 'datetime', 'str')\n return fast_str2value[dtype](value.encode('utf-8'))\n\n if INT_MASK.match(value):\n return str2int(value.encode('utf-8')) \n\n elif FLOAT_MASK.match(value):\n return str2float(value.encode('utf-8'))\n\n elif PERCENT_MASK.match(value):\n return str2pct(value.encode('utf-8'))\n\n elif DATE_MASK.match(value):\n return str2date(value.encode('utf-8'))\n\n elif BOOL_MASK.match(value.lower()):\n return str2bool(value.encode('utf-8'))\n\n else:\n return value\n\n# this parser offers a higher speed than `if else` statement\nfast_str2value = {'float': str2float,\n 'int': str2int,\n 'bool': str2bool,\n 'datetime': str2date,\n 'percent': str2pct,\n 'str': lambda x: x}\n\ndef argsort(seq, key=None, reverse=False):\n '''sort a sequence than return the index of sequence\n\n Parameters\n ----------\n See: sorted\n\n Return\n ------\n list : index of original data\n\n Example\n -------\n >>> argsort([5, 2, 1, 10])\n [2, 1, 0, 3]\n '''\n sorted_seq = sorted(enumerate(seq), key=itemgetter(1), reverse=reverse)\n return tuple(map(itemgetter(0), sorted_seq))\n\ndef hash_sort(records, *orders):\n assert all(map(lambda x: isinstance(x[0], int), orders)), 'keyword must be int'\n assert all(map(lambda x: x[1] in ('ASC', 'DESC'), orders)), 'orders symbol should be \"ASC\" or \"DESC\"'\n\n compare_pos = [x[0] for x in orders]\n compare_sym = [x[1] for x in orders]\n size_orders = len(compare_pos) - 1\n \n def _hash_sort(datas_, i=0):\n # initialize values\n index = compare_pos[i]\n inside_data, HashTable = list(), dict()\n\n # create the diction\n for item in datas_:\n key = item[index]\n if key in HashTable:\n HashTable[key].append(item)\n else:\n HashTable[key] = [item]\n\n # sorted the values\n sequence = sorted(HashTable)\n\n # transform the record into Frame\n for each in sequence:\n items = HashTable[each]\n if i < size_orders:\n items = _hash_sort(items, i+1)\n inside_data.extend(items)\n\n # finally, reversed the list if necessary.\n if i != 0 and compare_sym[i] != compare_sym[i-1]:\n inside_data.reverse()\n return inside_data\n \n output = _hash_sort(records)\n if compare_sym[0] == 'DESC':\n output.reverse()\n return output\n\ndef auto_plus_one(exists, item, start=1):\n exists = set(map(str, exists))\n while '%s_%d' % (item, start) in exists:\n start += 1\n return '%s_%d' % (item, start)\n\ndef count_nan(nan_func, series):\n return sum(map(nan_func, series))\n\ndef count_not_char(string):\n return len(tuple(filter(lambda val: ord(val) > 126, string)))\n\ndef count_str_printed_length(string):\n return len(string) + count_not_char(string)\n\ndef string_align(string, length):\n return string.center(length - count_not_char(string))\n \n" }, { "path": "DaPy/core/base/utils/py_string_transfer.py", "content": "from distutils.util import strtobool\n\nstr2int = int\nstr2float = float\nstr2pct = lambda val: float(val.replace('%', '')) / 100.0\n\ndef str2bool(val):\n try:\n if val == u'\\u662f' or strtobool(val) == 1:\n return True\n except ValueError:\n pass\n return False\n\ndef str2datetime(val):\n if ' ' in value:\n day, time = value.split(' ')\n elif ':' in value:\n time = value\n elif '-' in value:\n day = value\n day, time = tuple(map(int, day.split('-'))), tuple(map(int, time.split(':')))\n return datetime(day[0], day[1], day[2], time[0], time[1], time[2])\n" }, { "path": "DaPy/core/base/utils/utils_2to3.py", "content": "from DaPy.core.base.constant import PYTHON3, PYTHON2\n\nif PYTHON2 is True:\n from itertools import izip, imap, ifilter, izip_longest as zip_longest\n from string import split, strip\n range, xrange, map, zip, filter = range, xrange, imap, izip, ifilter\n \nif PYTHON3 is True:\n from itertools import zip_longest\n xrange, split, map, filter, zip, strip = range, str.split, map, filter, zip, str.strip\n def range(x, y=None, z=1):\n if y is None:\n x, y = 0, x\n return list(xrange(x, y, z))\n \ntry:\n import cPickle as pickle\nexcept ImportError:\n import pickle\n" }, { "path": "DaPy/core/base/utils/utils_grammar_parser.py", "content": "from DaPy.core.base.constant import PYTHON2, PYTHON3\n\nfrom distutils.util import strtobool\ntry:\n from dateutil.parser import parse as strtodate\nexcept ImportError:\n from datetime import datetime\n def strtodate(value, day='1900-1-1', time='0:0:0'):\n if ' ' in value:\n day, time = value.split(' ')\n elif ':' in value:\n time = value\n elif '-' in value:\n day = value\n day, time = map(int, day.split('-')), map(int, time.split(':'))\n return datetime(day[0], day[1], day[2], time[0], time[1], time[2])\n\ndef _str2date(value):\n try:\n return strtodate(value)\n except ValueError:\n return value\n\ndef _str2bool(value):\n try:\n if value == u'\\u662f' or strtobool(value) == 1:\n return True\n except ValueError:\n pass\n return False\n\ndef _str2percent(value):\n return float(value.replace('%', '')) / 100.0\n\n\n" }, { "path": "DaPy/core/base/utils/utils_isfunc.py", "content": "from operator import itemgetter\nfrom collections import Iterable, OrderedDict\nfrom DaPy.core.base.constant import PYTHON3, PYTHON2\nfrom DaPy.core.base.constant import MATH_TYPE, SEQ_TYPE, STR_TYPE, VALUE_TYPE\n\nSET_VALUE_TYPE = set(VALUE_TYPE)\nSET_STR_TYPE = set(STR_TYPE)\nSET_MATH_TYPE = set(MATH_TYPE)\nSET_SEQ_TYPE = set(SEQ_TYPE)\n\nDICT_TYPE = (dict, OrderedDict)\ndef is_dict(val):\n return isinstance(val, DICT_TYPE) or hasattr(val, 'items')\n\ndef is_value(n):\n '''Determine that if a value is a value\n\n Return\n ------\n Bool : the result of evaluation.\n True - input is a value\n False - input is not a value\n '''\n if type(n) in SET_VALUE_TYPE:\n return True\n return False\n\ndef is_math(n):\n '''Determine that if a value is a number\n\n Return\n ------\n Bool : the result of evaluation.\n True - 'n' is a number\n False - 'n' is not a number\n '''\n if type(n) in SET_MATH_TYPE:\n return True\n return False\n\ndef is_str(value):\n '''Determine that if a value is a string'''\n if type(value) in SET_STR_TYPE:\n return True\n return False\n\ndef is_iter(obj):\n '''Determine that if a variable is a iterable\n '''\n try:\n if isinstance(obj, Iterable):\n return True\n except TypeError:\n return False\n else:\n return False\n\ndef is_seq(obj):\n ''' Determine that if a variable is a sequence object\n '''\n if type(obj) in SET_SEQ_TYPE:\n return True\n return False\n\ndef is_empty(obj):\n '''determine whether a object is empty'''\n if hasattr(obj, 'empty'):\n return obj.empty\n \n if hasattr(obj, '__len__'):\n if len(obj) == 0:\n return True\n return False\n \n if is_iter(obj):\n return False\n raise TypeError('can not determine whether %s is empty' % type(obj))\n" }, { "path": "DaPy/core/base/utils/utils_join_table.py", "content": "from itertools import chain, repeat\nfrom operator import itemgetter\nfrom collections import deque\nfrom DaPy.core.base.constant import SHEET_DIM\nfrom DaPy.core.base.utils import count_nan\nfrom DaPy.core.base.Series import Series\n\ndef inner_join(left, other, left_on, right_on, joined):\n # creating the union indexes\n # cost O(4n) in the worst situation\n union_l = left._group_index_by_column_value([left_on])\n union_r = other._group_index_by_column_value([right_on], deque)\n union_inner = set(union_l.keys()) & set(union_r.keys())\n left_ind, right_ind = [], []\n\n # create index list\n # cost O(n) in the worst situation\n for uni_key in union_inner: \n lind = union_l.get(uni_key, [])\n rind = union_r.get(uni_key, [])\n for left_index in lind:\n left_ind.extend([left_index] * len(rind))\n right_ind.extend(rind)\n return create_join_by_index(left, other, left_ind, right_ind, joined, False)\n\ndef outer_join(left, other, left_on, right_on, joined):\n # creating the union indexes\n # cost O(n) in the constant situation\n union_l = left._group_index_by_column_value([left_on])\n union_r_set = set()\n left_ind, right_ind, unchange, right_tail = [], [], [], []\n\n # create index list\n # cost O(n) in the worst situation\n for i, value in enumerate(other._data[right_on]):\n lind = union_l.get((value,))\n if lind:\n left_ind.extend(lind)\n right_ind.extend(repeat(i, len(lind)))\n union_r_set.add(value)\n else:\n right_tail.append(i)\n\n # merge the unmatched index from the left table: O(k)\n for key, val in union_l.items():\n if key[0] not in union_r_set:\n left_ind.extend(val)\n right_ind.extend([-1] * len(val))\n\n # merge the unmatched index from the right table: O(k)\n right_ind.extend(right_tail)\n return create_join_by_index(left, other, left_ind, right_ind, joined, True)\n\ndef left_join(left, right, left_on, right_on, joined):\n union_r = right._group_index_by_column_value([right_on], engine=deque)\n left_ind, right_ind = [], []\n for i, val in enumerate(left[left_on]):\n rind = union_r.get((val,))\n if rind:\n left_ind.extend(repeat(i, len(rind)))\n right_ind.extend(rind)\n else:\n left_ind.append(i)\n right_ind.append(-1)\n return create_join_by_index(left, right, left_ind, right_ind, joined, True)\n\ndef create_join_by_index(left, other, left_index, right_index, joined, add_last):\n if add_last:\n left.append_row([])\n other.append_row([])\n for getter, data in zip([left_index, right_index], [left, other]):\n for miss, (col, seq) in zip(data._missing, data.iter_items()):\n col = joined._check_col_new_name(col)\n subseq = seq[getter]\n if miss != 0:\n miss = count_nan(data._isnan, subseq)\n subseq = Series(left.nan if data._isnan(v) else v for v in subseq)\n joined._data[col] = subseq\n joined._missing.append(miss)\n joined._columns.append(col)\n \n ln, col = len(max(joined._data.values(), key=len)), len(joined._data)\n joined._dim = SHEET_DIM(ln, col)\n for i, seq in enumerate(joined.iter_values()):\n bias = ln - len(seq)\n seq.extend(repeat(joined.nan, bias))\n joined._missing[i] += bias\n if add_last:\n left.drop_row(-1)\n other.drop_row(-1)\n return joined\n" }, { "path": "DaPy/core/base/utils/utils_regression.py", "content": "def simple_linear_reg(x, y):\n x_bar, y_bar = sum(x) / len(x), sum(y) / len(y)\n l_xx = sum(map(lambda x: (x - x_bar) ** 2, x), 0.0)\n l_xy = sum(map(lambda x, y: (x - x_bar) * (y - y_bar), x, y), 0.0)\n if l_xx == 0:\n return 0, y_bar\n slope = l_xy / l_xx\n return slope, y_bar - slope * x_bar\n" }, { "path": "DaPy/core/base/utils/utils_str_patterns.py", "content": "from re import compile as re_compile\n\nPATTERN_AND_OR = re_compile(r'\\sand\\s|\\sor\\s')\nPATTERN_COMBINE = re_compile(r'[(](.*?)(\\sand\\s|\\sor\\s)(.*?)[)]')\nPATTERN_RECOMBINE = re_compile(r'[)](\\sand\\s|\\sor\\s)[(]')\nPATTERN_COLUMN = r'[(|\\s]{0,1}%s[\\s|)]{0,1}'\n\nPATTERN_EQUAL = re_compile(r'(.*?)(!=|==)(.*?)')\nPATTERN_LESS = re_compile(r'(.*?)(<=|<)(.*?)')\nPATTERN_GREAT = re_compile(r'(.*?)(>=|>)(.*?)')\nPATTERN_BETWEEN1 = re_compile(r'(.+?)(>=|>)(.+?)(>=|>)(.+?)')\nPATTERN_BETWEEN2 = re_compile(r'(.+?)(>=|>)(.+?)(>=|>)(.+?)')\nPATTERN_EQUALS = (PATTERN_EQUAL, PATTERN_LESS, PATTERN_GREAT)\nSIMPLE_EQUAL_PATTERN = ('!=', '<=', '>=')\n\nPATTERN_CHANGE_LINE = re_compile(r'[\\n|\\r]')\n" }, { "path": "DaPy/core/base/utils/utils_str_transfer.py", "content": "from DaPy.core.base.constant import PYTHON2, PYTHON3\n\nfrom distutils.util import strtobool\ntry:\n from dateutil.parser import parse as strtodate\nexcept ImportError:\n from datetime import datetime\n def strtodate(value, day='1900-1-1', time='0:0:0'):\n if ' ' in value:\n day, time = value.split(' ')\n elif ':' in value:\n time = value\n elif '-' in value:\n day = value\n day, time = tuple(map(int, day.split('-'))), tuple(map(int, time.split(':')))\n return datetime(day[0], day[1], day[2], time[0], time[1], time[2])\n\ndef _str2date(value):\n try:\n return strtodate(value)\n except ValueError:\n return value\n\ndef _str2bool(value):\n try:\n if value == u'\\u662f' or strtobool(value) == 1:\n return True\n except ValueError:\n pass\n return False\n\ndef _str2percent(value):\n return float(value.replace('%', '')) / 100.0\n\n\n" }, { "path": "DaPy/core/base/utils/utils_toolkits.py", "content": "from time import clock\nfrom datetime import datetime\n\n\nclass Timer(object):\n def __init__(self):\n self._begin = None\n \n" }, { "path": "DaPy/core/io.py", "content": "from os.path import split\nfrom warnings import warn\nfrom datetime import datetime\nfrom itertools import repeat\n\nfrom .base import Frame, Matrix, SeriesSet, Series, is_iter, is_math, is_seq, is_value\nfrom .base import auto_str2value, fast_str2value, STR_TYPE, zip\nfrom .sqlparser import parse_insert_statement, parse_create_statement\n\n\ndef create_sheet(dtype, data, titles, nan):\n if dtype.upper() in ('COL', 'SERIESSET'):\n return SeriesSet(data, titles, nan)\n\n elif dtype.upper() == 'FRAME':\n return Frame(data, titles, nan)\n\n elif dtype.upper() == 'MATRIX':\n return Matrix(data, titles)\n\n else:\n raise RuntimeError('unrecognized symbol of data type')\n\ndef parse_addr(addr):\n if addr.lower().startswith('http'):\n fname = addr.split(':')[1].split('.')\n if fname[0].startswith('name'):\n return None, None, fname[1], 'web'\n return None, None, fname[0], 'web'\n\n if addr.lower().startswith('mysql'):\n assert addr.count(':') == 3 and addr.count('@') == 1\n spliter = addr[6]\n addr, file_name = addr[8:].split(spliter, 1)\n file_name = file_name.split(spliter)\n file_type = 'mysql'\n file_path, file_base = addr.split('@')\n return file_path, file_name, file_base, file_type\n\n maybe_error = 'you may connect a mysql database, try to write `addr` like: \"mysql://[username]:[password]@[server_ip]:[server_port]/[database_name]\"'\n if addr.count('@') == 1 and addr.count(':') >= 2 and addr.count('.') == 0:\n maybe_error\n file_path, file_name = split(addr)\n if file_name.count('.') > 1:\n file_base = '.'.join(file_name.split('.')[:-1])\n file_type = file_name.split('.')[-1]\n else:\n try:\n file_base, file_type = file_name.split('.')\n except ValueError:\n raise ValueError('your address can not be parsed, a legal address '+\\\n 'seems like \"test.xls\"')\n return file_path, file_name, file_base, file_type\n\ndef parse_mysql_server(cur, fname):\n if len(fname) == 1:\n cur.execute('SHOW TABLES;')\n for table in cur.fetchall():\n fname.append(table[0])\n \n for table in fname[1:]:\n cur.execute('SELECT column_name FROM information_schema.columns WHERE table_name=\"%s\";' % table)\n columns = [_[0] for _ in cur.fetchall()]\n cur.execute('SELECT * FROM %s;' % table)\n yield SeriesSet(cur.fetchall(), columns), '%s_%s' % (fname[0], table)\n\ndef parse_db(cur, dtype, nan):\n cur.execute('SELECT name FROM sqlite_master WHERE type=\"table\"')\n table_list = cur.fetchall()\n for table in table_list:\n table = str(table[0])\n cur.execute('PRAGMA table_info(%s)' % table)\n titles = [title[1] for title in cur.fetchall()]\n cur.execute('SELECT * FROM %s' % table)\n\n try:\n yield create_sheet(dtype, cur.fetchall(), titles, nan), table\n except UnicodeEncodeError:\n warn(\"'ascii' can not encode characters, use dp.io.encode to fix.\")\n\ndef parse_sav(doc, dtype, nan):\n titles = doc.getSavFileInfo()[2]\n data = list(readocder)\n return create_sheet(dtype, data, titles, nan)\n\ndef parse_excel(dtype, addr, fline, tline, nan):\n try:\n import xlrd\n except ImportError:\n raise ImportError('DaPy uses \"xlrd\" to parse a excel file, '+\\\n 'please try command: pip install xlrd.')\n\n book = xlrd.open_workbook(addr)\n for sheet, name in zip(book.sheets(), book.sheet_names()):\n try: \n series_set = SeriesSet(None, None, nan)\n for cols in range(sheet.ncols):\n column = Series(sheet.col_values(cols))\n title = column[tline].strip() if tline >= 0 else None\n series_set.append_col(column[fline:], title)\n yield series_set, name\n except UnicodeEncodeError:\n warn('can not decode characters, use `DaPy.io.encode()` to fix.')\n\ndef parse_html(text, dtype, miss_symbol, nan, sheetname):\n try:\n from bs4 import BeautifulSoup as bs\n except ImportError:\n raise ImportError('DaPy uses \"bs4\" to parse a .html file, '+\\\n 'please try command: pip install bs4.')\n if not is_iter(miss_symbol):\n miss_symbol = [miss_symbol]\n \n soup = bs(text.replace('\\n', ''), 'html.parser')\n\n for table in soup.findAll('table'):\n sheet = table.attrs.get('class', [sheetname])[0]\n title = table.find('thead')\n if title:\n title = [col.string for col in title.findAll(['td', 'th'])]\n \n records = []\n try:\n for record in table.find('tbody').findAll(['tr', 'div']):\n current_record = []\n for value in record.findAll(['td', 'th']):\n while value.find(['a', 'div']) is not None:\n value = value.find(['a', 'div'])\n if value.text in miss_symbol:\n current_record.append(nan)\n else:\n current_record.append(auto_str2value(value.text))\n if current_record != []:\n records.append(current_record)\n\n try:\n yield (create_sheet(dtype, records, title, nan), sheet)\n except UnicodeEncodeError:\n warn('\"ascii\" can not encode characters, use dp.io.encode() to fix.')\n except RuntimeError:\n warn('Table \"%s\" can not be auto parsed.' % sheet)\n\ndef parse_sql(doc, nan):\n command = ''\n for row in doc:\n if row[:6].lower() in ('create', 'insert'):\n command = row.replace('\\n', '')\n \n elif command:\n command += row.replace('\\n', '')\n\n if command.endswith(';'):\n if command.lower().startswith('create table'):\n table_name, columns, dtypes = parse_create_statement(command)\n\n if command.lower().startswith('insert into'):\n sheet = parse_insert_statement(command, dtypes, nan)\n sheet.columns = columns\n yield sheet, table_name\n command = ''\n\n\ntype2str = {int: 'int', float:'float', str:'varchar', datetime:'datetime'}\ndef write_sql(doc, sheet, sheet_name):\n doc.write('DROP TABLE IF EXISTS `%s`;\\n' % sheet_name)\n doc.write('SET character_set_client = utf8mb4;\\n')\n doc.write('CREATE TABLE `%s` (\\n' % sheet_name)\n for key, column in sheet.items():\n for val in column:\n if sheet._isnan(val) is False:\n doc.write('`%s` %s,\\n' % (key, type2str[type(val)]))\n break\n doc.write(' PRIMARY KEY (`%s`)\\n' % sheet.columns[0])\n doc.write(') ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;\\n')\n \n doc.write('LOCK TABLES `%s` WRITE;\\n' % sheet_name)\n doc.write('INSERT INTO `%s` VALUES ' % sheet_name)\n string_nan = str(sheet.nan)\n for i, row in enumerate(sheet.iter_rows()):\n if i != 0:\n doc.write(',')\n doc.write(str(row).replace(string_nan, 'NULL'))\n else:\n doc.write(';\\n')\n doc.write('UNLOCK TABLES;\\n\\n')\n\ndef write_txt(f, data, newline, delimiter):\n def writeline(f, record):\n f.write(delimiter.join(map(str, record)) + newline)\n\n if hasattr(data, 'columns'):\n writeline(f, data.columns)\n\n if isinstance(data, (Frame, SeriesSet)):\n for line in data.iter_rows():\n writeline(f, line)\n\n elif hasattr(data, 'items'):\n if all(map(is_iter, data.values())):\n writeline(f, data.keys())\n temp = SeriesSet(data)\n for line in temp:\n writeline(f, line)\n \n elif all(map(is_value, data.values())):\n for key, value in data.items():\n writeline(f, [key, value])\n\n else:\n raise ValueError('DaPy can save the object with same value styles only.')\n\n elif is_iter(data):\n for record in data:\n if is_iter(record):\n writeline(f, record)\n else:\n writeline(f, [record])\n else:\n raise ValueError('DaPy can save a sequence object, dict-like object ' +\\\n 'and sheet-like object only.')\n\ndef write_xls(worksheet, data):\n def writeline(f, i, record):\n for j, value in enumerate(record):\n f.write(i, j, value)\n \n if hasattr(data, 'columns'):\n start = 1\n writeline(worksheet, 0, data.columns)\n else:\n start = 0\n\n try:\n if isinstance(data, (Frame, Matrix, SeriesSet)):\n for i, row in enumerate(data, start):\n writeline(worksheet, i, row)\n \n elif hasattr(data, 'items'):\n if all(map(is_iter, data.values())):\n writeline(worksheet, 0, data.keys())\n temp = SeriesSet(data)\n for i, line in enumerate(temp, 1):\n writeline(worksheet, i, line)\n \n elif all(map(is_value, data.values())):\n for i, (key, value) in enumerate(data.items()):\n writeline(worksheet, i, (key, value))\n \n else:\n raise ValueError('DaPy can save the object with same value styles only.')\n\n elif is_iter(data) and is_iter(data[0]):\n for i, record in enumerate(data, start):\n if is_iter(record):\n writeline(worksheet, i, record)\n else:\n writeline(worksheet, i, [record])\n\n else:\n raise ValueError('DaPy can save a sequence object, dict-like object ' +\\\n 'and sheet-like object only.')\n except ValueError:\n warn('.xls format only allows 65536 lines per sheet.')\n\ndef write_html(f, data):\n def writeline(f, record):\n f.write('' + ''.join(map(str, record)) + '')\n\n if hasattr(data, 'columns'):\n f.write('')\n writeline(f, data.columns)\n f.write('')\n\n f.write('')\n if isinstance(data, (Frame, Matrix, SeriesSet)) or \\\n (is_iter(data) and is_iter(data[0])):\n for line in filter(is_iter, data):\n writeline(f, line)\n\n elif hasattr(data, 'items'):\n if all(map(is_seq, data.values())):\n writeline(f, data.keys())\n temp = SeriesSet(data)\n for line in temp:\n writeline(f, line)\n \n elif all(map(is_value, data.values())):\n for key, value in data.items():\n writeline(f, [key, value])\n \n else:\n raise ValueError('DaPy can save the object with same value styles only.')\n\n elif is_iter(data):\n for record in data:\n if is_iter(record):\n writeline(f, record)\n else:\n writeline(f, [record])\n else:\n raise ValueError('DaPy can save a sequence object, dict-like object ' +\\\n 'and sheet-like object only.')\n f.write('')\n\ndef write_db(cur, sheet, data, if_exists, mode):\n \n if not isinstance(data, (Frame, SeriesSet)):\n data = SeriesSet(data)\n \n SELECT_STATEMENT = {\n 'mysql': [u\"SHOW TABLES;\", u'SELECT column_name FROM information_schema.columns WHERE table_name=\"%s\"', u'%s'], \n 'sqlite3': [u\"SELECT name FROM sqlite_master WHERE type='table'\", u'PRAGMA table_info(%s)', u'?']\n }\n cur.execute(SELECT_STATEMENT[mode][0])\n tables = cur.fetchall()\n tables = [table[0] for table in tables]\n if sheet in tables and if_exists == 'replace':\n cur.execute(u'DROP TABLE IF EXISTS %s' % sheet)\n tables.remove(sheet)\n elif sheet in tables and if_exists == 'fail':\n raise ValueError('table \"%s\" already exists, ' % sheet +\\\n 'change keyword ``if_exists``.')\n elif sheet in tables and if_exists == 'append':\n cols = cur.execute(SELECT_STATEMENT[mode][1] % sheet)\n cols = cur.fetchall()\n if [col[1] for col in cols] != data.columns:\n raise ValueError('The columns in exist table are not match those '+\\\n 'in saving table `%s`. ' % sheet)\n \n if sheet not in tables:\n cols = []\n for column, records in data.items():\n column = column.replace(' ', '').replace('-', '').replace(':', '')\n if all(map(isinstance, records, repeat(float, data.shape.Ln))):\n cols.append('`%s` float' % column)\n elif all(map(is_math, records)):\n cols.append('`%s` int' % column)\n elif all(map(isinstance, records, repeat(datetime, data.shape.Ln))):\n cols.append('`%s` date' % column)\n else:\n cols.append('`%s` varchar(30)' % column)\n cur.execute(u'CREATE TABLE `%s` (%s);' % (sheet, ','.join(cols)))\n\n INSERT = 'INSERT INTO %s VALUES (%s);' % (sheet, ','.join(repeat(SELECT_STATEMENT[mode][2], data.shape.Col)))\n for record in data.iter_rows():\n cur.execute(INSERT, record)\n" }, { "path": "DaPy/core/sqlparser.py", "content": "from re import compile as re_compile\nfrom re import findall\nfrom datetime import datetime\nfrom .base import SeriesSet, Series\nfrom .base.utils import fast_str2value, auto_str2value\n\nlegal_types = {'integer': int, 'int': int, 'smallint': int, 'tinyint': int,\n 'decimal': float, 'numeric': float,\n 'char': str, 'varchar': str, 'date': datetime}\n\nCREATE_PATTERN = re_compile(u'^create table [`]{0,1}([_A-Za-z0-9\\u4e00-\\u9fa5]{1,})[`]{0,1}[ ]{0,1}\\(([\\s\\S]*)\\)[ |;]', flags=2)\nCOLUMN_PATTERN = re_compile(u'[`]{0,1}([_A-Za-z0-9\\u4e00-\\u9fa5]{1,})[`]{0,1} (%s)' % '|'.join(legal_types.keys()))\ndef parse_create_statement(string):\n patterns = CREATE_PATTERN.findall(string.strip())\n assert len(patterns) >= 1, '`%s` is not a SQL statement' % string\n assert len(patterns) == 1, 'please set the statement one by one'\n table_name, contents = patterns[0]\n names, types = [], []\n for var, dtype in COLUMN_PATTERN.findall(contents):\n names.append(var)\n types.append(legal_types[dtype])\n return table_name, names, types\n\nINSERT_PATTERN = re_compile(u\"insert into [`]{0,1}([_A-Za-z0-9\\u4e00-\\u9fa5]{1,})[`]{0,1}([ ]{0,1}\\([\\s\\S]*\\))? values[ ]{0,1}(\\([\\s\\S]*\\))\", flags=2)\nSTR_CLEAN_PATTERN = re_compile(u'''(^[\"|\"\"|'|'']|[\"|\"\"|'|'']$)''')\n## RECORD_PATTERN = re_compile(u'(\\()([\\s\\S]*?)(\\))(,|;)')\nRECORD_PATTERN = re_compile(u',(?![^\\(]*\\))')\nSPLIT_PATTERN = re_compile(u',(?=(?:[^\"]*\"[^\"]*\")*[^\"]*$)')\ndef parse_insert_statement(string, dtypes=None, nan=None):\n patterns = INSERT_PATTERN.findall(string.strip())\n assert len(patterns) >= 1, '`%s` is not a SQL statement' % string\n assert len(patterns) == 1, 'please set the statements one by one'\n del string\n\n table, columns, records = patterns[0][0], patterns[0][1], patterns[0][2]\n records = [tuple(STR_CLEAN_PATTERN.sub('', _.strip()) for _ in SPLIT_PATTERN.split(row[1:-1])) for row in RECORD_PATTERN.split(records)]\n\n if columns:\n columns = columns.strip()[1:-1].split(',')\n len_col = len(columns)\n for record in records:\n assert len(record) == len_col, \"row values (%s) doesn't match columns (%s)\" % (record, columns)\n else:\n columns = [None] * len(max(records, key=len))\n\n if dtypes is None:\n dtypes = []\n for row in records:\n if 'NULL' not in row:\n for i, val in enumerate(row):\n val = auto_str2value(val, None)\n str_type = str(val.__class__).split()[1][1:-2].split('.')[0]\n dtypes.append(fast_str2value[str_type])\n break\n assert len(dtypes) == len(columns), 'lenth of data types is not match column size: %s != %s' % (dtypes, columns)\n\n data = tuple(Series() for _ in range(len(columns)))\n miss = [0] * len(columns)\n for row in records:\n for i, (seq, tran, val) in enumerate(zip(data, dtypes, row)):\n if val == \"NULL\":\n seq.append(nan)\n miss[i] += 1\n else:\n seq.append(tran(val))\n\n subset = SeriesSet(nan=nan)\n for col, seq, miss in zip(columns, data, miss):\n subset._quickly_append_col(col, seq, miss)\n return sheet\n \n \n\nif __name__ == '__main__':\n print(parse_create_statement(\"CREATE TABLE Persons(Id_P int,LastName varchar(255),FirstName varchar(255),Address varchar(255),City varchar(255))\"))\n print(parse_insert_statement(\"INSERT INTO Persons VALUES ('Gates', 'Bill', 'Xuanwumen 10', 'Beijing'), ('System', 'CPU', 'Memory', 35);\").show())\n print(parse_insert_statement(\"INSERT INTO Persons (age, name) VALUES (10, 'Jack')\").show())\n" }, { "path": "DaPy/datasets/__init__.py", "content": "from DaPy import read\nfrom os.path import dirname, join\n\n__all__ = ['wine', 'iris', 'adult', 'example']\nmodule_path = dirname(__file__)\n\ndef wine():\n file_path = join(module_path, 'wine')\n data = read(join(file_path, 'data.csv'))\n with open(join(file_path, 'info.txt')) as f:\n DESC = f.read()\n return data, DESC\n\ndef iris():\n file_path = join(module_path, 'iris')\n data = read(join(file_path, 'data.csv'))\n with open(join(file_path, 'info.txt')) as f:\n DESC = f.read()\n return data, DESC\n\ndef example():\n file_path = join(module_path, 'example')\n data = read(join(file_path, 'sample.csv'))\n return data\n\ndef adult():\n file_path = join(module_path, 'adult')\n data = read(join(file_path, 'data.csv'))\n return data\n" }, { "path": "DaPy/datasets/adult/adult.csv", "content": "age,workplace,fnlwgt,education,education-num,marital-status,occupation,relationship,race,sex,capital-gain,capital-loss,hours-per-week,native-county,Earning\n39, State-gov,77516, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,2174,0,40, United-States, <=50K\n50, Self-emp-not-inc,83311, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,13, United-States, <=50K\n38, Private,215646, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,234721, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Private,338409, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, Cuba, <=50K\n37, Private,284582, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n49, Private,160187, 9th,5, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0,0,16, Jamaica, <=50K\n52, Self-emp-not-inc,209642, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n31, Private,45781, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,14084,0,50, United-States, >50K\n42, Private,159449, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K\n37, Private,280464, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,80, United-States, >50K\n30, State-gov,141297, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K\n23, Private,122272, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n32, Private,205019, Assoc-acdm,12, Never-married, Sales, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n40, Private,121772, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K\n34, Private,245487, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,45, Mexico, <=50K\n25, Self-emp-not-inc,176756, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,35, United-States, <=50K\n32, Private,186824, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n38, Private,28887, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n43, Self-emp-not-inc,292175, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, >50K\n40, Private,193524, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n54, Private,302146, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K\n35, Federal-gov,76845, 9th,5, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K\n43, Private,117037, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2042,40, United-States, <=50K\n59, Private,109015, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n56, Local-gov,216851, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,168294, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n54, ?,180211, Some-college,10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,60, South, >50K\n39, Private,367260, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,80, United-States, <=50K\n49, Private,193366, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Local-gov,190709, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, White, Male,0,0,52, United-States, <=50K\n20, Private,266015, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,44, United-States, <=50K\n45, Private,386940, Bachelors,13, Divorced, Exec-managerial, Own-child, White, Male,0,1408,40, United-States, <=50K\n30, Federal-gov,59951, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n22, State-gov,311512, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,15, United-States, <=50K\n48, Private,242406, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, Puerto-Rico, <=50K\n21, Private,197200, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,544091, HS-grad,9, Married-AF-spouse, Adm-clerical, Wife, White, Female,0,0,25, United-States, <=50K\n31, Private,84154, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,38, ?, >50K\n48, Self-emp-not-inc,265477, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,507875, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K\n53, Self-emp-not-inc,88506, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,172987, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n49, Private,94638, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,289980, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,35, United-States, <=50K\n57, Federal-gov,337895, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n53, Private,144361, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, <=50K\n44, Private,128354, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, State-gov,101603, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,271466, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K\n25, Private,32275, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Other, Female,0,0,40, United-States, <=50K\n18, Private,226956, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, ?, <=50K\n47, Private,51835, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,60, Honduras, >50K\n50, Federal-gov,251585, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n47, Self-emp-inc,109832, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n43, Private,237993, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,216666, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n35, Private,56352, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n41, Private,147372, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K\n30, Private,188146, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013,0,40, United-States, <=50K\n30, Private,59496, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,2407,0,40, United-States, <=50K\n32, ?,293936, 7th-8th,4, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,40, ?, <=50K\n48, Private,149640, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,116632, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n29, Private,105598, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,58, United-States, <=50K\n36, Private,155537, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,183175, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Private,169846, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n49, Self-emp-inc,191681, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n25, ?,200681, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,101509, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,32, United-States, <=50K\n31, Private,309974, Bachelors,13, Separated, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,162298, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n23, Private,211678, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n79, Private,124744, Some-college,10, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0,0,20, United-States, <=50K\n27, Private,213921, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Mexico, <=50K\n40, Private,32214, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n67, ?,212759, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K\n18, Private,309634, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,22, United-States, <=50K\n31, Local-gov,125927, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,446839, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n52, Private,276515, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Cuba, <=50K\n46, Private,51618, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n59, Private,159937, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n44, Private,343591, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,14344,0,40, United-States, >50K\n53, Private,346253, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n49, Local-gov,268234, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,202051, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,54334, 9th,5, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Federal-gov,410867, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n57, Private,249977, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,286730, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,212563, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,25, United-States, <=50K\n30, Private,117747, HS-grad,9, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,1573,35, ?, <=50K\n34, Local-gov,226296, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n29, Local-gov,115585, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n48, Self-emp-not-inc,191277, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,60, United-States, >50K\n37, Private,202683, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K\n48, Private,171095, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, England, <=50K\n32, Federal-gov,249409, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n76, Private,124191, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,198282, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n47, Self-emp-not-inc,149116, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n20, Private,188300, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,103432, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-inc,317660, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n17, ?,304873, 10th,6, Never-married, ?, Own-child, White, Female,34095,0,32, United-States, <=50K\n30, Private,194901, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Local-gov,189265, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,124692, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,432376, Bachelors,13, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n38, Private,65324, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n56, Self-emp-not-inc,335605, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1887,50, Canada, >50K\n28, Private,377869, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,4064,0,25, United-States, <=50K\n36, Private,102864, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n53, Private,95647, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n56, Self-emp-inc,303090, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n49, Local-gov,197371, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n55, Private,247552, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,56, United-States, <=50K\n22, Private,102632, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,41, United-States, <=50K\n21, Private,199915, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,118853, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n30, Private,77143, Bachelors,13, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, Germany, <=50K\n29, State-gov,267989, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n19, Private,301606, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K\n47, Private,287828, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n20, Private,111697, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1719,28, United-States, <=50K\n31, Private,114937, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n35, ?,129305, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,365739, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,69621, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n24, Private,43323, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,1762,40, United-States, <=50K\n38, Self-emp-not-inc,120985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,35, United-States, <=50K\n37, Private,254202, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,146195, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, Black, Female,0,0,36, United-States, <=50K\n38, Federal-gov,125933, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Iran, >50K\n43, Self-emp-not-inc,56920, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n27, Private,163127, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K\n20, Private,34310, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n49, Private,81973, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n61, Self-emp-inc,66614, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,232782, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,316868, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, Mexico, <=50K\n45, Private,196584, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,40, United-States, >50K\n70, Private,105376, Some-college,10, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K\n31, Private,185814, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Female,0,0,30, United-States, <=50K\n22, Private,175374, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,24, United-States, <=50K\n36, Private,108293, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K\n64, Private,181232, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2179,40, United-States, <=50K\n43, ?,174662, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Local-gov,186009, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, Mexico, <=50K\n34, Private,198183, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,163003, Bachelors,13, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n21, Private,296158, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n52, ?,252903, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,45, United-States, >50K\n48, Private,187715, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K\n23, Private,214542, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n71, Self-emp-not-inc,494223, Some-college,10, Separated, Sales, Unmarried, Black, Male,0,1816,2, United-States, <=50K\n29, Private,191535, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n42, Private,228456, Bachelors,13, Separated, Other-service, Other-relative, Black, Male,0,0,50, United-States, <=50K\n68, ?,38317, 1st-4th,2, Divorced, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n25, Private,252752, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Self-emp-inc,78374, Masters,14, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n28, Private,88419, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, England, <=50K\n45, Self-emp-not-inc,201080, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,207157, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n39, Federal-gov,235485, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K\n46, State-gov,102628, Masters,14, Widowed, Protective-serv, Unmarried, White, Male,0,0,40, United-States, <=50K\n18, Private,25828, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K\n66, Local-gov,54826, Assoc-voc,11, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n27, Private,124953, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,1980,40, United-States, <=50K\n28, State-gov,175325, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,96062, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K\n27, Private,428030, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n28, State-gov,149624, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,253814, HS-grad,9, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K\n21, Private,312956, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n34, Private,483777, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n18, Private,183930, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n33, Private,37274, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, <=50K\n44, Local-gov,181344, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,38, United-States, >50K\n43, Private,114580, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,633742, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,45, United-States, <=50K\n40, Private,286370, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, >50K\n37, Federal-gov,29054, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,42, United-States, >50K\n34, Private,304030, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,143129, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, ?,135105, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,50, United-States, <=50K\n31, Private,99928, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, <=50K\n58, State-gov,109567, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,1, United-States, >50K\n38, Private,155222, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,28, United-States, <=50K\n24, Private,159567, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,523910, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n47, Private,120939, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K\n41, Federal-gov,130760, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,24, United-States, <=50K\n23, Private,197387, 5th-6th,3, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0,0,40, Mexico, <=50K\n36, Private,99374, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Federal-gov,56795, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,14084,0,55, United-States, >50K\n35, Private,138992, Masters,14, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,7298,0,40, United-States, >50K\n24, Self-emp-not-inc,32921, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,397317, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1876,40, United-States, <=50K\n19, ?,170653, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, Italy, <=50K\n51, Private,259323, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n42, Local-gov,254817, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,1340,40, United-States, <=50K\n37, State-gov,48211, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n18, Private,140164, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,128757, Bachelors,13, Married-civ-spouse, Other-service, Husband, Black, Male,7298,0,36, United-States, >50K\n35, Private,36270, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n58, Self-emp-inc,210563, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,15024,0,35, United-States, >50K\n17, Private,65368, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K\n44, Local-gov,160943, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n37, Private,208358, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,153790, Some-college,10, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n60, Private,85815, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n54, Self-emp-inc,125417, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,635913, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,60, United-States, >50K\n50, Private,313321, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,182609, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Poland, <=50K\n45, Private,109434, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n25, Private,255004, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,197860, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n64, ?,187656, 1st-4th,2, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n90, Private,51744, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,2206,40, United-States, <=50K\n54, Private,176681, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,20, United-States, <=50K\n53, Local-gov,140359, Preschool,1, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,35, United-States, <=50K\n18, Private,243313, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n60, ?,24215, 10th,6, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,10, United-States, <=50K\n66, Self-emp-not-inc,167687, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,1409,0,50, United-States, <=50K\n75, Private,314209, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, Columbia, <=50K\n65, Private,176796, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,538583, 11th,7, Separated, Transport-moving, Not-in-family, Black, Male,3674,0,40, United-States, <=50K\n41, Private,130408, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,38, United-States, <=50K\n25, Private,159732, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,42, United-States, <=50K\n33, Private,110978, Some-college,10, Divorced, Craft-repair, Other-relative, Other, Female,0,0,40, United-States, <=50K\n28, Private,76714, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K\n59, State-gov,268700, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n40, State-gov,170525, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n41, Private,180138, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Iran, >50K\n38, Local-gov,115076, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n23, Private,115458, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,347890, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-not-inc,196001, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,20, United-States, <=50K\n24, State-gov,273905, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K\n20, ?,119156, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n38, Private,179488, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,1741,40, United-States, <=50K\n56, Private,203580, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, ?, <=50K\n58, Private,236596, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n32, Private,183916, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K\n40, Private,207578, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,60, United-States, >50K\n45, Private,153141, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, ?, <=50K\n41, Private,112763, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n42, Private,390781, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n59, Local-gov,171328, 10th,6, Widowed, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n19, Local-gov,27382, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n58, Private,259014, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,20, United-States, <=50K\n42, Self-emp-not-inc,303044, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K\n20, Private,117789, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Private,172579, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n45, Private,187666, Assoc-voc,11, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n50, Private,204518, 7th-8th,4, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,150042, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Private,98092, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n17, Private,245918, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n59, Private,146013, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K\n26, Private,378322, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-inc,257295, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,75, Thailand, >50K\n19, ?,218956, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,24, Canada, <=50K\n64, Private,21174, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,185480, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n33, Private,222205, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, >50K\n61, Private,69867, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,191260, 9th,5, Never-married, Other-service, Own-child, White, Male,1055,0,24, United-States, <=50K\n50, Self-emp-not-inc,30653, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,2407,0,98, United-States, <=50K\n27, Local-gov,209109, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K\n30, Private,70377, HS-grad,9, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Private,477983, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n44, Private,170924, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n35, Private,190174, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,193787, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Private,279472, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,7298,0,48, United-States, >50K\n22, Private,34918, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,15, Germany, <=50K\n42, Local-gov,97688, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n34, Private,175413, Assoc-acdm,12, Divorced, Sales, Unmarried, Black, Female,0,0,45, United-States, <=50K\n60, Private,173960, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,42, United-States, <=50K\n21, Private,205759, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n57, Federal-gov,425161, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n41, Private,220531, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n50, Private,176609, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K\n25, Private,371987, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,193884, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Ecuador, <=50K\n36, Private,200352, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n31, Private,127595, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Local-gov,220419, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,0,56, United-States, <=50K\n21, Private,231931, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K\n27, Private,248402, Bachelors,13, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n65, Private,111095, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, United-States, <=50K\n37, Self-emp-inc,57424, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n39, ?,157443, Masters,14, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,3464,0,40, ?, <=50K\n24, Private,278130, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,169469, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,80, United-States, <=50K\n48, Private,146268, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,40, United-States, >50K\n21, Private,153718, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,25, United-States, <=50K\n31, Private,217460, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n55, Private,238638, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4386,0,40, United-States, >50K\n24, Private,303296, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, Laos, <=50K\n43, Private,173321, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,193945, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K\n46, Private,83082, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,33, United-States, <=50K\n35, Private,193815, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-inc,34987, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,54, United-States, >50K\n26, Private,59306, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,142897, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7298,0,35, Taiwan, >50K\n19, ?,860348, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,25, United-States, <=50K\n36, Self-emp-not-inc,205607, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, >50K\n22, Private,199698, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n24, Private,191954, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n77, Self-emp-not-inc,138714, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,399087, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Female,0,0,40, Mexico, <=50K\n29, Private,423158, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n62, Private,159841, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n39, Self-emp-not-inc,174308, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,50356, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,50, United-States, <=50K\n35, Private,186110, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n29, Private,200381, 11th,7, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n76, Self-emp-not-inc,174309, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K\n63, Self-emp-not-inc,78383, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n23, ?,211601, Assoc-voc,11, Never-married, ?, Own-child, Black, Female,0,0,15, United-States, <=50K\n43, Private,187728, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,50, United-States, >50K\n58, Self-emp-not-inc,321171, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n66, Private,127921, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,2050,0,55, United-States, <=50K\n41, Private,206565, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,45, United-States, <=50K\n26, Private,224563, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,178686, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, Local-gov,98545, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,242606, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,270942, 5th-6th,3, Never-married, Other-service, Other-relative, White, Male,0,0,48, Mexico, <=50K\n30, Private,94235, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n49, Private,71195, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n19, Private,104112, HS-grad,9, Never-married, Sales, Unmarried, Black, Male,0,0,30, Haiti, <=50K\n45, Private,261192, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n26, Private,94936, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,296478, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n36, State-gov,119272, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,40, United-States, >50K\n33, Private,85043, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K\n22, State-gov,293364, Some-college,10, Never-married, Protective-serv, Own-child, Black, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,241895, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K\n67, ?,36135, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n30, ?,151989, Assoc-voc,11, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n56, Private,101128, Assoc-acdm,12, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,25, Iran, <=50K\n31, Private,156464, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,25, United-States, <=50K\n33, Private,117963, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,192262, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,111363, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n46, Local-gov,329752, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n59, ?,372020, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n38, Federal-gov,95432, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n65, Private,161400, 11th,7, Widowed, Other-service, Unmarried, Other, Male,0,0,40, United-States, <=50K\n40, Private,96129, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,111949, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K\n26, Self-emp-not-inc,117125, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K\n36, Private,348022, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,24, United-States, <=50K\n62, Private,270092, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,180609, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n43, Private,174575, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,1564,45, United-States, >50K\n22, Private,410439, HS-grad,9, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n28, Private,92262, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,183081, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n22, Private,362589, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n57, Private,212448, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n39, Private,481060, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Federal-gov,185885, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,15, United-States, <=50K\n17, Private,89821, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n40, State-gov,184018, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, >50K\n45, Private,256649, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n44, Private,160323, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n20, Local-gov,350845, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n33, Private,267404, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K\n23, Private,35633, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,80914, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K\n38, Private,172927, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n54, Private,174319, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,214955, 5th-6th,3, Divorced, Craft-repair, Not-in-family, White, Female,0,2339,45, United-States, <=50K\n25, Private,344991, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,108699, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Local-gov,117312, Some-college,10, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, <=50K\n23, Private,396099, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n29, Private,134152, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,162028, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,2415,6, United-States, >50K\n19, Private,25429, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K\n19, Private,232392, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n35, Private,220098, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K\n27, Private,301302, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n46, Self-emp-not-inc,277946, Assoc-acdm,12, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, State-gov,98101, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, ?, >50K\n34, Private,196164, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n44, Private,115562, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,96975, Some-college,10, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, ?,137300, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,35, United-States, <=50K\n25, Private,86872, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n52, Self-emp-inc,132178, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n20, Private,416103, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,108574, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, State-gov,288353, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,227689, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,64, United-States, <=50K\n28, Private,166481, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,2179,40, Puerto-Rico, <=50K\n41, Private,445382, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,65, United-States, >50K\n28, Private,110145, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,317253, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K\n28, ?,123147, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,1887,40, United-States, >50K\n32, Private,364657, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n41, Local-gov,42346, Some-college,10, Divorced, Other-service, Not-in-family, Black, Female,0,0,24, United-States, <=50K\n24, Private,241951, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,118500, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,188386, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n31, State-gov,1033222, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,92440, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n52, Private,190762, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n30, Private,426017, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,19, United-States, <=50K\n34, Local-gov,243867, 11th,7, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n34, State-gov,240283, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,61777, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n17, Private,175024, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,2176,0,18, United-States, <=50K\n32, State-gov,92003, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n29, Private,188401, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,228528, 10th,6, Never-married, Craft-repair, Unmarried, White, Female,0,0,35, United-States, <=50K\n25, Private,133373, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n36, Federal-gov,255191, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,1408,40, United-States, <=50K\n23, Private,204653, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,72, Dominican-Republic, <=50K\n63, Self-emp-inc,222289, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n47, Local-gov,287480, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n80, ?,107762, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,24, United-States, <=50K\n17, ?,202521, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,204116, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,2174,0,40, United-States, <=50K\n30, Private,29662, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, >50K\n27, Private,116358, Some-college,10, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,1980,40, Philippines, <=50K\n33, Private,208405, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n34, Local-gov,284843, HS-grad,9, Never-married, Farming-fishing, Not-in-family, Black, Male,594,0,60, United-States, <=50K\n34, Local-gov,117018, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,81281, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,340148, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n29, Private,363425, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,45857, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,28, United-States, <=50K\n24, Federal-gov,191073, HS-grad,9, Never-married, Armed-Forces, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,116632, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,405855, 9th,5, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K\n20, Private,298227, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K\n44, Private,290521, HS-grad,9, Widowed, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n51, Private,56915, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n20, Private,146538, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n17, ?,258872, 11th,7, Never-married, ?, Own-child, White, Female,0,0,5, United-States, <=50K\n19, Private,206399, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n45, Self-emp-inc,197332, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n60, Private,245062, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,197583, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, ?, >50K\n44, Self-emp-not-inc,234885, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n40, Private,72887, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n30, Private,180374, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n38, Private,351299, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, <=50K\n23, Private,54012, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n32, ?,115745, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,116632, Assoc-acdm,12, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Local-gov,288825, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n32, Private,132601, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n50, Private,193374, 1st-4th,2, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, Private,170070, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,20, United-States, <=50K\n37, Private,126708, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,60, United-States, <=50K\n52, Private,35598, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n38, Private,33983, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,192776, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K\n30, Private,118551, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,16, United-States, >50K\n60, Private,201965, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, >50K\n22, ?,139883, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,285020, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,303990, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n67, Private,49401, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n46, Private,279196, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,211870, 9th,5, Never-married, Other-service, Not-in-family, White, Male,0,0,6, United-States, <=50K\n22, Private,281432, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n27, Private,161155, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,197904, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n33, Private,111746, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Portugal, <=50K\n43, Self-emp-not-inc,170721, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n28, State-gov,70100, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n41, Private,193626, HS-grad,9, Married-spouse-absent, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, ?,271749, 12th,8, Never-married, ?, Other-relative, Black, Male,594,0,40, United-States, <=50K\n25, Private,189775, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K\n63, ?,401531, 1st-4th,2, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K\n59, Local-gov,286967, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n45, Local-gov,164427, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,91039, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K\n40, Private,347934, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n46, Federal-gov,371373, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,32220, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K\n34, Private,187251, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,25, United-States, <=50K\n33, Private,178107, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n41, Private,343121, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,36, United-States, <=50K\n20, Private,262749, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,403107, 5th-6th,3, Never-married, Other-service, Own-child, White, Male,0,0,40, El-Salvador, <=50K\n26, Private,64293, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n72, ?,303588, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n23, Local-gov,324960, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Poland, <=50K\n62, Local-gov,114060, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,48925, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,180980, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,42, France, <=50K\n25, Private,181054, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,388093, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n19, Private,249609, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,8, United-States, <=50K\n43, Private,112131, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n47, Local-gov,543162, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n39, Private,91996, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,141944, Assoc-voc,11, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,1380,42, United-States, <=50K\n53, ?,251804, 5th-6th,3, Widowed, ?, Unmarried, Black, Female,0,0,30, United-States, <=50K\n32, Private,37070, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n34, Private,337587, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,189346, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n57, ?,222216, Assoc-voc,11, Widowed, ?, Unmarried, White, Female,0,0,38, United-States, <=50K\n25, Private,267044, Some-college,10, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K\n20, ?,214635, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,24, United-States, <=50K\n21, ?,204226, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,35, United-States, <=50K\n34, Private,108116, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n38, Self-emp-inc,99146, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,80, United-States, >50K\n50, Private,196232, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n24, Local-gov,248344, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n37, Local-gov,186035, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n44, Private,177905, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,58, United-States, >50K\n28, Private,85812, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n42, Private,221172, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n74, Private,99183, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,9, United-States, <=50K\n38, Self-emp-not-inc,190387, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n44, Self-emp-not-inc,202692, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,109339, 11th,7, Divorced, Machine-op-inspct, Unmarried, Other, Female,0,0,46, Puerto-Rico, <=50K\n26, Private,108658, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,197202, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n41, Private,101739, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n67, Private,231559, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,48, United-States, >50K\n39, Local-gov,207853, 12th,8, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n57, Private,190942, 1st-4th,2, Widowed, Priv-house-serv, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n29, Private,102345, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-inc,41493, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,45, United-States, <=50K\n34, ?,190027, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n44, Private,210525, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,133937, Doctorate,16, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,237903, Some-college,10, Never-married, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,163862, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,201872, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,84179, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,45, United-States, <=50K\n58, Private,51662, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,8, United-States, <=50K\n35, Local-gov,233327, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,259510, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,36, United-States, <=50K\n28, Private,184831, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,245724, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n36, Self-emp-not-inc,27053, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n72, Private,205343, 11th,7, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,229328, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K\n33, Federal-gov,319560, Assoc-voc,11, Divorced, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, >50K\n69, Private,136218, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,54576, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,323069, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,20, ?, <=50K\n34, Private,148291, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,32, United-States, <=50K\n30, Private,152453, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n28, Private,114053, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K\n54, Private,212960, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K\n47, Private,264052, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,82804, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,334273, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n20, Private,27337, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K\n43, Self-emp-inc,188436, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,45, United-States, <=50K\n45, Private,433665, 7th-8th,4, Separated, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n29, Self-emp-not-inc,110663, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n47, Private,87490, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,0,42, United-States, <=50K\n24, Private,354351, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,95469, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,242718, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,12, United-States, <=50K\n37, Private,22463, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,40, United-States, >50K\n27, Private,158156, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K\n29, Private,350162, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Male,0,0,40, United-States, >50K\n18, ?,165532, 12th,8, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n36, Self-emp-not-inc,28738, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n58, Local-gov,283635, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Self-emp-not-inc,86646, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n65, ?,195733, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K\n57, Private,69884, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n59, Private,199713, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,181659, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,340939, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,197747, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K\n29, Private,34292, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K\n18, Private,156764, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Private,25826, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,47, United-States, >50K\n57, Self-emp-inc,103948, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,80, United-States, <=50K\n42, ?,137390, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n55, ?,105138, HS-grad,9, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n60, Private,39352, 7th-8th,4, Never-married, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, >50K\n31, Private,168387, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, Canada, >50K\n23, Private,117789, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,267147, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n23, ?,99399, Some-college,10, Never-married, ?, Unmarried, Amer-Indian-Eskimo, Female,0,0,25, United-States, <=50K\n42, Self-emp-not-inc,214242, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K\n25, Private,200408, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,2174,0,40, United-States, <=50K\n49, Private,136455, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n32, Private,239824, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,217039, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,28, United-States, <=50K\n60, Private,51290, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Local-gov,175674, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,194404, Assoc-acdm,12, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,45612, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,37, United-States, <=50K\n51, Private,410114, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,182521, HS-grad,9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n36, Local-gov,339772, HS-grad,9, Separated, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n17, Private,169658, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,21, United-States, <=50K\n52, Private,200853, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,6849,0,60, United-States, <=50K\n24, Private,247564, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,249909, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n26, Local-gov,208122, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,1055,0,40, United-States, <=50K\n27, Private,109881, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n39, Private,207824, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,60, United-States, <=50K\n30, Private,369027, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,45, United-States, <=50K\n50, Self-emp-not-inc,114117, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,32, United-States, <=50K\n52, Self-emp-inc,51048, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n46, Private,102388, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K\n23, Private,190483, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n45, Private,462440, 11th,7, Widowed, Other-service, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n65, Private,109351, 9th,5, Widowed, Priv-house-serv, Unmarried, Black, Female,0,0,24, United-States, <=50K\n29, Private,34383, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n47, Private,241832, 9th,5, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,40, El-Salvador, <=50K\n30, Private,124187, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,60, United-States, <=50K\n34, Private,153614, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n38, Self-emp-not-inc,267556, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,64, United-States, <=50K\n33, Private,205469, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,268090, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,26, United-States, >50K\n47, Self-emp-not-inc,165039, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Local-gov,120451, 10th,6, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n43, Private,154374, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,60, United-States, >50K\n30, Private,103649, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, >50K\n58, Self-emp-not-inc,35723, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n19, Private,262601, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,14, United-States, <=50K\n21, Private,226181, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,175697, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n47, Self-emp-inc,248145, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, Cuba, <=50K\n52, Self-emp-not-inc,289436, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n26, Private,75654, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n60, Private,199378, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,160968, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,188563, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,50, United-States, >50K\n31, Private,55849, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n50, Self-emp-inc,195322, Doctorate,16, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n31, Local-gov,402089, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n71, Private,78277, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, United-States, <=50K\n58, ?,158611, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n30, State-gov,169496, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,130959, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n24, Private,556660, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Male,4101,0,50, United-States, <=50K\n35, Private,292472, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K\n38, State-gov,143774, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n27, Private,288341, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,32, United-States, <=50K\n29, State-gov,71592, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n70, ?,167358, 9th,5, Widowed, ?, Unmarried, White, Female,1111,0,15, United-States, <=50K\n34, Private,106742, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n44, Private,219288, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n43, Private,174524, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n44, Self-emp-not-inc,335183, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, >50K\n35, Private,261293, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n27, Private,111900, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,194360, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K\n20, Private,81145, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n42, Private,341204, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,8614,0,40, United-States, >50K\n27, State-gov,249362, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3411,0,40, United-States, <=50K\n42, Private,247019, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n20, ?,114746, 11th,7, Married-spouse-absent, ?, Own-child, Asian-Pac-Islander, Female,0,1762,40, South, <=50K\n24, Private,172146, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,1721,40, United-States, <=50K\n48, Federal-gov,110457, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, ?,80077, 11th,7, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n17, Self-emp-not-inc,368700, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K\n33, Private,182556, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n50, Self-emp-inc,219420, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,240817, HS-grad,9, Never-married, Sales, Own-child, White, Female,2597,0,40, United-States, <=50K\n17, Private,102726, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n32, Private,226267, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K\n31, Private,125457, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n58, Self-emp-not-inc,204021, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Local-gov,92262, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,48, United-States, <=50K\n37, Private,161141, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, >50K\n34, Self-emp-not-inc,190290, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Local-gov,430828, Some-college,10, Separated, Exec-managerial, Unmarried, Black, Male,0,0,40, United-States, <=50K\n18, State-gov,59342, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,5, United-States, <=50K\n34, Private,136721, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, ?,149422, 7th-8th,4, Never-married, ?, Not-in-family, White, Male,0,0,4, United-States, <=50K\n45, Local-gov,86644, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,55, United-States, <=50K\n41, Private,195124, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, Dominican-Republic, <=50K\n26, Private,167350, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K\n54, Local-gov,113000, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,140027, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,45, United-States, <=50K\n42, Private,262425, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n20, Private,316702, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n23, State-gov,335453, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,20, United-States, <=50K\n25, ?,202480, Assoc-acdm,12, Never-married, ?, Other-relative, White, Male,0,0,45, United-States, <=50K\n35, Private,203628, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K\n31, Private,118710, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,1902,40, United-States, >50K\n30, Private,189620, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, Poland, <=50K\n19, Private,475028, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n36, Local-gov,110866, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n31, Private,243605, Bachelors,13, Widowed, Sales, Unmarried, White, Female,0,1380,40, Cuba, <=50K\n21, Private,163870, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n31, Self-emp-not-inc,80145, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,295566, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Female,25236,0,65, United-States, >50K\n44, Private,63042, Bachelors,13, Divorced, Exec-managerial, Own-child, White, Female,0,0,50, United-States, >50K\n40, Private,229148, 12th,8, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, Jamaica, <=50K\n45, Private,242552, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n60, Private,177665, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n18, Private,208103, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K\n28, Private,296450, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,70282, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Private,271767, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K\n40, Private,144995, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,4386,0,40, United-States, <=50K\n36, Local-gov,382635, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, Honduras, <=50K\n31, Private,295697, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,194141, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n19, State-gov,378418, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,214399, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n34, Private,217460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n33, Private,182556, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,125831, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,60, United-States, <=50K\n29, Private,271328, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n50, Local-gov,50459, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n42, Private,162140, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K\n43, Private,177937, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, >50K\n44, Private,111502, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n20, Private,299047, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n31, Private,223212, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n65, Self-emp-not-inc,118474, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,59, ?, >50K\n23, Private,352139, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n55, Private,173093, Some-college,10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n26, Private,181655, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,2377,45, United-States, <=50K\n25, Private,332702, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n45, ?,51164, Some-college,10, Married-civ-spouse, ?, Wife, Black, Female,0,0,40, United-States, <=50K\n35, Private,234901, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,40, United-States, <=50K\n36, Private,131414, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,36, United-States, <=50K\n43, State-gov,260960, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n56, Private,156052, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,594,0,20, United-States, <=50K\n42, Private,279914, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,192453, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,25, United-States, <=50K\n55, Self-emp-not-inc,200939, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,72, United-States, <=50K\n42, Private,151408, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,14084,0,50, United-States, >50K\n26, Private,112847, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Private,316929, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n42, Local-gov,126319, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n55, Private,197422, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,40, United-States, >50K\n32, Private,267736, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n29, Private,267034, 11th,7, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, Haiti, <=50K\n46, State-gov,193047, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, <=50K\n29, State-gov,356089, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n22, Private,223515, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,20, United-States, <=50K\n58, Self-emp-not-inc,87510, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,145111, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K\n39, Private,48093, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,31757, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,38, United-States, <=50K\n54, Private,285854, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n33, Local-gov,120064, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n46, Federal-gov,167381, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n37, Private,103408, HS-grad,9, Never-married, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n36, Private,101460, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,18, United-States, <=50K\n59, Local-gov,420537, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, >50K\n34, Local-gov,119411, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Male,0,0,40, Portugal, <=50K\n53, Self-emp-inc,128272, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n51, Private,386773, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, >50K\n32, Private,283268, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,42, United-States, <=50K\n31, State-gov,301526, Some-college,10, Married-spouse-absent, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n22, Private,151790, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, Germany, <=50K\n47, Self-emp-not-inc,106252, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n32, Private,188557, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,171114, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,38, United-States, <=50K\n37, Private,327323, 5th-6th,3, Separated, Farming-fishing, Not-in-family, White, Male,0,0,32, Guatemala, <=50K\n31, Private,244147, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,55, United-States, <=50K\n37, Private,280282, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,24, United-States, >50K\n55, Private,116442, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K\n23, Local-gov,282579, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Male,0,0,56, United-States, <=50K\n36, Private,51838, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,73585, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K\n43, Private,226902, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n54, Private,279129, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, State-gov,146908, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n28, Private,196690, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,1669,42, United-States, <=50K\n40, Private,130760, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n41, Self-emp-not-inc,49572, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n40, Private,237601, Bachelors,13, Never-married, Sales, Not-in-family, Other, Female,0,0,55, United-States, >50K\n42, Private,169628, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n61, Self-emp-not-inc,36671, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2352,50, United-States, <=50K\n18, Private,231193, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K\n59, ?,192130, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K\n21, ?,149704, HS-grad,9, Never-married, ?, Not-in-family, White, Female,1055,0,40, United-States, <=50K\n48, Private,102102, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n41, Self-emp-inc,32185, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,196061, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,33, United-States, <=50K\n23, Private,211046, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,2463,0,40, United-States, <=50K\n60, Private,31577, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n22, Private,162343, Some-college,10, Never-married, Other-service, Other-relative, Black, Male,0,0,20, United-States, <=50K\n61, Private,128831, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,316688, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n46, Private,90758, Masters,14, Never-married, Tech-support, Not-in-family, White, Male,0,0,35, United-States, >50K\n43, Private,274363, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, England, >50K\n43, Private,154538, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,106085, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,1721,30, United-States, <=50K\n68, Self-emp-not-inc,315859, 11th,7, Never-married, Farming-fishing, Unmarried, White, Male,0,0,20, United-States, <=50K\n31, Private,51471, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n17, Private,193830, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n32, Private,231043, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,48, United-States, >50K\n50, ?,23780, Masters,14, Married-spouse-absent, ?, Other-relative, White, Male,0,0,40, United-States, <=50K\n33, Private,169879, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,47, United-States, >50K\n64, Private,270333, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,138768, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K\n30, Private,191571, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,36, United-States, <=50K\n22, ?,219941, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n43, Private,94113, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n22, Private,137510, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Private,32607, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n47, Self-emp-not-inc,93208, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,75, Italy, <=50K\n41, Private,254440, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n56, Private,186556, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n64, Private,169871, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n47, Private,191277, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n48, Private,167159, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n31, Private,171871, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,46, United-States, <=50K\n29, Private,154411, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,129227, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,110331, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,60, United-States, <=50K\n57, Private,34269, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Male,0,653,42, United-States, >50K\n62, Private,174355, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,680390, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,24, United-States, <=50K\n43, Private,233130, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,25, United-States, <=50K\n24, Self-emp-inc,165474, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n42, ?,257780, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K\n53, Private,194259, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,4386,0,40, United-States, >50K\n26, Private,280093, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n73, Self-emp-not-inc,177387, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n72, ?,28929, 11th,7, Widowed, ?, Not-in-family, White, Female,0,0,24, United-States, <=50K\n55, Private,105304, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,499233, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,180572, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n24, Private,321435, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n63, Private,86108, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,6, United-States, <=50K\n17, Private,198124, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n35, Private,135162, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n51, Private,146813, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n62, Local-gov,291175, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K\n55, Private,387569, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, United-States, >50K\n43, Private,102895, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Local-gov,33274, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n37, Private,86551, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n39, Private,138192, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,118966, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,18, United-States, <=50K\n61, Private,99784, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n26, Private,90980, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K\n46, Self-emp-not-inc,177407, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,96467, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, State-gov,327886, Doctorate,16, Divorced, Prof-specialty, Own-child, White, Male,0,0,50, United-States, >50K\n34, Private,111567, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,166545, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Private,142182, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,188798, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n49, Private,38563, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,56, United-States, >50K\n18, Private,216284, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n43, Private,191547, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n48, Private,285335, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n28, Self-emp-inc,142712, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n33, Private,80945, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,309055, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n21, Private,62339, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Private,368700, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,28, United-States, <=50K\n39, Private,176186, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n29, Self-emp-not-inc,266855, Bachelors,13, Separated, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,48087, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,121313, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K\n71, Self-emp-not-inc,143437, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,10605,0,40, United-States, >50K\n51, Self-emp-not-inc,160724, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,2415,40, China, >50K\n55, Private,282753, 5th-6th,3, Divorced, Other-service, Unmarried, Black, Male,0,0,25, United-States, <=50K\n41, Private,194636, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,153044, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,7, United-States, <=50K\n38, Private,411797, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,117683, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,376540, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n49, Private,72393, 9th,5, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,270335, Bachelors,13, Married-civ-spouse, Adm-clerical, Other-relative, White, Male,0,0,40, Philippines, >50K\n27, Private,96226, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n38, Private,95336, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,258498, Some-college,10, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,60, United-States, <=50K\n63, ?,149698, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K\n23, Private,205865, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,28, United-States, <=50K\n33, Self-emp-inc,155781, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, ?, <=50K\n54, Self-emp-not-inc,406468, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Private,177119, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,2174,0,45, United-States, <=50K\n48, ?,144397, Some-college,10, Divorced, ?, Unmarried, Black, Female,0,0,30, United-States, <=50K\n35, Self-emp-not-inc,372525, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,164170, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, India, <=50K\n37, Private,183800, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n42, Self-emp-not-inc,177307, Prof-school,15, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, >50K\n40, Private,170108, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,341995, Some-college,10, Divorced, Sales, Own-child, White, Male,0,0,55, United-States, <=50K\n22, Private,226508, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,50, United-States, <=50K\n30, Private,87418, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,109165, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n63, Local-gov,28856, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, United-States, <=50K\n51, Self-emp-not-inc,175897, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n22, Private,99697, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n27, ?,90270, Assoc-acdm,12, Married-civ-spouse, ?, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n35, Private,152375, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n46, Private,171550, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,38, United-States, <=50K\n37, Private,211154, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,52, United-States, <=50K\n24, Private,202570, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Male,0,0,15, United-States, <=50K\n37, Self-emp-not-inc,168496, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K\n53, Private,68898, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,93235, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n38, Private,278924, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K\n53, Self-emp-not-inc,311020, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,175878, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,543028, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K\n39, Private,202027, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K\n43, Private,158926, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,50, South, <=50K\n67, Self-emp-inc,76860, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n81, Self-emp-not-inc,136063, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K\n21, Private,186648, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n23, Private,257509, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K\n25, Private,98155, Some-college,10, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n42, Private,274198, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,38, Mexico, <=50K\n38, Private,97083, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n64, ?,29825, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,5, United-States, <=50K\n32, Private,262153, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,214738, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,138022, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n22, Private,91842, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,42, United-States, <=50K\n33, Private,373662, 1st-4th,2, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female,0,0,40, Guatemala, <=50K\n42, Private,162003, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,55, United-States, <=50K\n19, ?,52114, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K\n51, Local-gov,241843, Preschool,1, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,375871, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Mexico, <=50K\n37, Private,186934, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,44, United-States, >50K\n37, Private,176900, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,99, United-States, >50K\n47, Private,21906, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K\n41, Private,132222, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,40, United-States, >50K\n33, Private,143653, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n31, Private,111567, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K\n31, Private,78602, Assoc-acdm,12, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n35, Private,465507, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n38, Self-emp-inc,196373, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,293227, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K\n20, Private,241752, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n54, Local-gov,166398, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,35, United-States, <=50K\n40, Private,184682, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-inc,108293, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1977,45, United-States, >50K\n43, Private,250802, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K\n44, Self-emp-not-inc,325159, Some-college,10, Divorced, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K\n44, State-gov,174675, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n43, Private,227065, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K\n51, Private,269080, 7th-8th,4, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n18, Private,177722, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n51, Private,133461, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,239683, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, ?, <=50K\n44, Self-emp-inc,398473, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n33, Local-gov,298785, 10th,6, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,123424, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,176286, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,150062, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n32, Private,169240, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,38, United-States, <=50K\n32, Private,288273, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, Mexico, <=50K\n36, Private,526968, 10th,6, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,57066, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,323573, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n35, Self-emp-inc,368825, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n55, Self-emp-not-inc,189721, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n48, Private,164966, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K\n36, ?,94954, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n34, Private,202046, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K\n28, Private,161538, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,35, United-States, <=50K\n67, Private,105252, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Male,0,2392,40, United-States, >50K\n37, Private,200153, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,32185, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,70, United-States, <=50K\n25, Private,178326, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,255957, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,4101,0,40, United-States, <=50K\n40, State-gov,188693, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n78, Private,182977, HS-grad,9, Widowed, Other-service, Not-in-family, Black, Female,2964,0,40, United-States, <=50K\n34, Private,159929, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Private,123207, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K\n22, Private,284317, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, ?,184699, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,154474, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,42, United-States, <=50K\n45, Local-gov,318280, HS-grad,9, Widowed, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K\n63, Private,254907, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n41, Private,349221, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Female,0,0,35, United-States, <=50K\n47, Private,335973, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,126701, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n51, Private,122159, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Female,3325,0,40, United-States, <=50K\n46, Private,187370, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1504,40, United-States, <=50K\n41, Private,194636, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,124793, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n47, Private,192835, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n35, Private,290226, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n56, Private,112840, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n45, Private,89325, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n48, Federal-gov,33109, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,58, United-States, >50K\n40, Private,82465, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2580,0,40, United-States, <=50K\n39, Self-emp-inc,329980, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n20, Private,148294, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,168212, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,65, United-States, >50K\n38, State-gov,343642, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n23, Local-gov,115244, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,60, United-States, <=50K\n31, Private,162572, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n58, Private,356067, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n66, Private,271567, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, Self-emp-inc,180804, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n54, Self-emp-not-inc,123011, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,52, United-States, >50K\n26, Private,109186, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Germany, <=50K\n51, Private,220537, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,124827, Assoc-voc,11, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,767403, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K\n42, Private,118494, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K\n38, Private,173208, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K\n48, Private,107373, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,26973, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n51, Private,191965, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n22, Private,122346, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, ?,117201, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n41, Private,198316, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, Japan, <=50K\n48, Local-gov,123075, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n42, Private,209370, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n34, Private,33117, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,129042, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n56, Private,169133, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, Yugoslavia, <=50K\n30, Private,201624, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,45, ?, <=50K\n45, Private,368561, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n48, Private,207848, 10th,6, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-inc,138370, Masters,14, Married-spouse-absent, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,50, India, <=50K\n31, Private,93106, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, State-gov,223515, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,1719,20, United-States, <=50K\n27, Private,389713, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,206365, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n76, ?,431192, 7th-8th,4, Widowed, ?, Not-in-family, White, Male,0,0,2, United-States, <=50K\n19, ?,241616, HS-grad,9, Never-married, ?, Unmarried, White, Male,0,2001,40, United-States, <=50K\n66, Self-emp-inc,150726, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,1409,0,1, ?, <=50K\n37, Private,123785, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,75, United-States, <=50K\n34, Private,289984, HS-grad,9, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,30, United-States, <=50K\n34, ?,164309, 11th,7, Married-civ-spouse, ?, Wife, White, Female,0,0,8, United-States, <=50K\n90, Private,137018, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,137994, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n43, Private,341204, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,167005, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K\n24, Private,34446, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,37, United-States, <=50K\n28, Private,187160, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,0,0,55, United-States, <=50K\n64, ?,196288, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n23, Private,217961, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,74631, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n36, Private,156667, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K\n61, Private,125155, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n53, Self-emp-not-inc,263925, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Canada, >50K\n30, Private,296453, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n52, Self-emp-not-inc,44728, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n38, Private,193026, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, Iran, <=50K\n32, Private,87643, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,106742, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,75, United-States, <=50K\n41, Private,302122, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Local-gov,193960, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n45, Private,185385, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, >50K\n43, Self-emp-not-inc,277647, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n61, Private,128848, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3471,0,40, United-States, <=50K\n54, Private,377701, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, Mexico, <=50K\n34, Private,157886, Assoc-acdm,12, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,175958, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, >50K\n38, Private,223004, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,199352, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,80, United-States, >50K\n36, Private,29984, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,181651, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,117312, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,60, United-States, <=50K\n22, Local-gov,34029, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n38, Private,132879, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n37, Private,215310, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n48, State-gov,55863, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,46, United-States, >50K\n17, Private,220384, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K\n19, Self-emp-not-inc,36012, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n27, Private,137645, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,0,1590,40, United-States, <=50K\n22, Private,191342, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,50, Taiwan, <=50K\n49, Private,31339, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, State-gov,227910, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n43, Private,173728, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Local-gov,167816, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n58, Self-emp-not-inc,81642, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n41, Local-gov,195258, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,232475, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,241259, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,118161, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,201954, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K\n42, Private,150533, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,52, United-States, >50K\n38, Private,412296, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,28, United-States, <=50K\n41, Federal-gov,133060, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n44, Self-emp-not-inc,120539, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n31, Private,196025, Doctorate,16, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,60, China, <=50K\n34, Private,107793, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,163870, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Self-emp-not-inc,361280, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,20, India, <=50K\n62, Private,92178, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,80710, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Self-emp-inc,260729, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,1977,25, United-States, >50K\n43, Private,182254, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n68, ?,140282, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n45, Self-emp-inc,149865, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, >50K\n39, Self-emp-inc,218184, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1651,40, Mexico, <=50K\n41, Private,118619, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, <=50K\n34, Self-emp-not-inc,196791, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,25, United-States, >50K\n34, Local-gov,167999, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,33, United-States, <=50K\n31, Private,51259, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,47, United-States, <=50K\n29, Private,131088, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n41, Private,118212, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K\n41, Private,293791, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n35, Self-emp-inc,289430, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, Mexico, >50K\n33, Private,35378, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,45, United-States, >50K\n37, State-gov,60227, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K\n69, Private,168139, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n34, Private,290763, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n60, Self-emp-inc,226355, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2415,70, ?, >50K\n36, Private,51100, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,227644, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n58, Local-gov,205267, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n53, Private,288020, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K\n29, Private,140863, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n45, Federal-gov,170915, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,4865,0,40, United-States, <=50K\n34, State-gov,50178, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K\n36, Private,112497, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,95244, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K\n20, Private,117606, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,89508, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n63, Federal-gov,124244, HS-grad,9, Widowed, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,154374, Some-college,10, Divorced, Other-service, Unmarried, White, Male,0,0,45, United-States, <=50K\n28, Private,294936, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n30, Private,347132, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n34, ?,181934, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,316672, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n37, Private,189382, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K\n42, ?,184018, Some-college,10, Divorced, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n31, Private,184307, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Jamaica, >50K\n46, Self-emp-not-inc,246212, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n35, Federal-gov,250504, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,60, United-States, >50K\n27, Private,138705, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,53, United-States, <=50K\n41, Private,328447, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Mexico, <=50K\n19, Private,194608, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n20, Private,230891, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n59, Federal-gov,212448, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, Germany, <=50K\n40, Private,214010, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K\n56, Self-emp-not-inc,200235, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n33, Private,354573, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,44, United-States, >50K\n30, Self-emp-inc,205733, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K\n46, Private,185041, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n61, Self-emp-inc,84409, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n50, Self-emp-inc,293196, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n25, Private,241626, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n40, Private,520586, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,39, United-States, <=50K\n24, ?,35633, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, ?, <=50K\n51, Private,302847, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,54, United-States, <=50K\n43, State-gov,165309, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,117529, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,54, Mexico, <=50K\n46, Private,106092, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n28, State-gov,445824, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n26, Private,227332, Bachelors,13, Never-married, Transport-moving, Unmarried, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n20, Private,275691, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,28, United-States, <=50K\n44, Private,193459, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,40, United-States, <=50K\n51, Private,284329, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n33, Private,114691, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n54, Private,96062, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,133963, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,40, United-States, >50K\n33, Private,178506, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n65, Private,350498, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,10605,0,20, United-States, >50K\n22, ?,131573, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,8, United-States, <=50K\n88, Self-emp-not-inc,206291, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,182302, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,241346, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K\n50, Private,157043, 11th,7, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n25, Private,404616, Masters,14, Married-civ-spouse, Farming-fishing, Not-in-family, White, Male,0,0,99, United-States, >50K\n20, Private,411862, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n47, Private,183013, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n58, ?,169982, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,188544, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n50, State-gov,356619, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K\n47, Private,45857, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Local-gov,289886, 11th,7, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,45, United-States, <=50K\n50, ?,146015, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,216237, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n36, Private,416745, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,202952, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,167725, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, ?,165637, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n59, Federal-gov,43280, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K\n65, Private,118779, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n24, State-gov,191269, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,65, United-States, <=50K\n27, Local-gov,247507, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K\n51, Private,239155, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,182862, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,33886, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n28, Private,444304, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,187161, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n49, Local-gov,116892, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n51, Local-gov,176813, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n59, Private,151616, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n18, Private,240747, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, Dominican-Republic, <=50K\n50, Private,75472, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, ?, <=50K\n45, Federal-gov,320818, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,80, United-States, >50K\n30, Local-gov,235271, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,166497, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n44, Private,344060, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, >50K\n33, Private,221196, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n61, Self-emp-inc,113544, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n61, Local-gov,321117, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,79619, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, >50K\n22, ?,42004, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n36, Private,135289, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n44, Self-emp-inc,320984, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,60, United-States, >50K\n37, Private,203070, Some-college,10, Separated, Adm-clerical, Own-child, White, Male,0,0,62, United-States, <=50K\n31, Private,32406, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,20, United-States, <=50K\n54, Private,99185, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K\n20, Private,205839, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n63, ?,150389, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, >50K\n48, Self-emp-not-inc,243631, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,7688,0,40, United-States, >50K\n33, ?,163003, HS-grad,9, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,41, China, <=50K\n31, Private,231263, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,4650,0,45, United-States, <=50K\n38, Private,200818, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n45, Self-emp-not-inc,247379, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,349151, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,22154, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,176317, HS-grad,9, Widowed, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,22245, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,72, ?, >50K\n29, Private,236436, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,354078, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n42, Self-emp-not-inc,166813, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n50, Private,358740, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, England, <=50K\n75, Self-emp-not-inc,208426, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n46, Private,265266, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n52, Federal-gov,31838, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,175034, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,413297, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n31, Private,106347, 11th,7, Separated, Other-service, Not-in-family, Black, Female,0,0,42, United-States, <=50K\n23, Private,174754, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n34, Private,441454, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K\n41, Self-emp-not-inc,209344, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,40, Cuba, <=50K\n31, Private,185732, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n42, Private,65372, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,33975, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n55, Private,326297, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n36, State-gov,194630, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Self-emp-not-inc,167414, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,59, United-States, >50K\n38, Local-gov,165799, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,12, United-States, <=50K\n62, Private,192866, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n54, Self-emp-inc,166459, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K\n49, Private,148995, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,190040, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n32, Private,209432, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Self-emp-inc,229465, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n48, Self-emp-not-inc,397466, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n30, Private,283767, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, ?, <=50K\n52, Federal-gov,202452, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K\n28, Self-emp-not-inc,218555, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,1762,40, United-States, <=50K\n29, Private,128604, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n38, Private,65466, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n57, Private,141326, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n43, Federal-gov,369468, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, State-gov,136137, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,236770, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,89534, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K\n69, ?,195779, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,1, United-States, <=50K\n73, Private,29778, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K\n22, Self-emp-inc,153516, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n31, Private,163594, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K\n38, Private,189623, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n50, Self-emp-not-inc,343748, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n37, Private,387430, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,37, United-States, <=50K\n44, Local-gov,409505, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,200734, Bachelors,13, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,45, United-States, <=50K\n27, Private,115831, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,150296, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,80, United-States, <=50K\n25, Private,323545, HS-grad,9, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n20, Private,232577, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Local-gov,152754, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,129007, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K\n67, Private,171584, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,6514,0,7, United-States, >50K\n47, Private,386136, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n42, Private,342865, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,186785, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,1876,50, United-States, <=50K\n42, Federal-gov,158926, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K\n65, ?,36039, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,164019, Some-college,10, Never-married, Farming-fishing, Own-child, Black, Male,0,0,10, United-States, <=50K\n50, Private,88926, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,5178,0,40, United-States, >50K\n46, Private,188861, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,370119, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n57, Private,182062, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,37238, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n50, Private,421132, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, ?,178660, 12th,8, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n63, Self-emp-not-inc,795830, 1st-4th,2, Widowed, Other-service, Unmarried, White, Female,0,0,30, El-Salvador, <=50K\n39, Private,278403, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n46, Private,279661, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,35, United-States, <=50K\n36, Private,113397, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,280093, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1628,50, United-States, <=50K\n21, Private,236696, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,57, United-States, <=50K\n41, Private,265266, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n44, Local-gov,34935, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n22, Private,58222, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Federal-gov,301010, Some-college,10, Never-married, Armed-Forces, Not-in-family, Black, Male,0,0,60, United-States, <=50K\n29, Private,419721, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, Japan, <=50K\n58, Self-emp-inc,186791, Some-college,10, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, >50K\n36, Self-emp-not-inc,180686, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,209103, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n37, Private,32668, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, >50K\n29, Private,256956, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,202203, 5th-6th,3, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K\n43, Private,85995, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n49, Private,125421, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, >50K\n45, Federal-gov,283037, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,192932, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, ?,244689, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n51, Private,179646, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,509350, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, Canada, >50K\n24, Private,96279, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,119098, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n35, ?,327120, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,0,0,55, United-States, <=50K\n41, State-gov,144928, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,55237, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n61, Local-gov,101265, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,1471,0,35, United-States, <=50K\n20, Private,114874, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n27, Private,190525, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n55, Private,121912, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,24, United-States, >50K\n39, Private,83893, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n17, ?,138507, 10th,6, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n47, Private,256522, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, ?, <=50K\n52, Private,168381, HS-grad,9, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, India, >50K\n24, Private,293579, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n29, Private,285290, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n25, Private,188488, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n20, Private,324469, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,275244, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n57, Private,265099, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n51, Private,146767, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,40681, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,3674,0,16, United-States, <=50K\n39, Private,174938, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,240124, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n71, Private,269708, Bachelors,13, Divorced, Tech-support, Own-child, White, Female,2329,0,16, United-States, <=50K\n38, State-gov,34180, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n28, State-gov,225904, Prof-school,15, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n57, Private,89392, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,46857, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, State-gov,105363, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,195105, HS-grad,9, Never-married, Sales, Not-in-family, Other, Male,0,0,40, United-States, <=50K\n35, Private,184117, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n61, Self-emp-inc,134768, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, >50K\n17, ?,145886, 11th,7, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n36, Private,153078, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, ?, >50K\n62, ?,225652, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,3411,0,50, United-States, <=50K\n34, Private,467108, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n32, Self-emp-inc,199765, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,50, United-States, >50K\n42, Private,173938, HS-grad,9, Separated, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,191161, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,132606, 5th-6th,3, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,30073, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1848,60, United-States, >50K\n40, Private,155190, 10th,6, Never-married, Craft-repair, Other-relative, Black, Male,0,0,55, United-States, <=50K\n31, Private,42900, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,37, United-States, <=50K\n36, Private,191161, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n23, Private,181820, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,105974, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,41, United-States, <=50K\n52, Private,146378, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,103440, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n51, Private,203435, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, Italy, <=50K\n31, Federal-gov,168312, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Self-emp-inc,257764, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,171301, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K\n53, Federal-gov,225339, Some-college,10, Widowed, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n52, Private,152234, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,99999,0,40, Japan, >50K\n20, Private,444554, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,403788, Assoc-acdm,12, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n61, ?,190997, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K\n43, Private,221550, Masters,14, Never-married, Other-service, Not-in-family, White, Female,0,0,30, Poland, <=50K\n46, Self-emp-inc,98929, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, <=50K\n43, Local-gov,169203, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n41, Private,102332, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,230684, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n54, Private,449257, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n65, Private,198766, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,20051,0,40, United-States, >50K\n32, Private,97429, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, Canada, <=50K\n25, Private,208999, Some-college,10, Separated, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,37072, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n25, Local-gov,163101, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n19, Private,119075, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n37, Self-emp-not-inc,137314, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n45, Private,127303, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,45, United-States, <=50K\n37, Private,349116, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,44, United-States, <=50K\n40, Self-emp-not-inc,266324, Some-college,10, Divorced, Exec-managerial, Other-relative, White, Male,0,1564,70, Iran, >50K\n19, ?,194095, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Private,46496, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,5, United-States, <=50K\n27, Private,29904, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Local-gov,289403, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1887,40, ?, >50K\n59, Private,226922, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,1762,30, United-States, <=50K\n19, Federal-gov,234151, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n43, Private,238287, 10th,6, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n42, Private,230624, 10th,6, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, >50K\n54, Private,398212, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,5013,0,40, United-States, <=50K\n54, Self-emp-not-inc,114758, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n51, Private,246519, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2105,0,45, United-States, <=50K\n50, Private,137815, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n40, Private,260696, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Private,325007, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,25, United-States, <=50K\n50, Private,113176, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,66815, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n42, ?,51795, HS-grad,9, Divorced, ?, Unmarried, Black, Female,0,0,32, United-States, <=50K\n24, Private,241523, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, >50K\n30, Private,30226, 11th,7, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,352628, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,50, United-States, >50K\n37, Private,143912, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n33, Private,130021, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,329778, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-inc,196945, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,78, Thailand, <=50K\n39, Private,24342, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,34368, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n52, Self-emp-not-inc,173839, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n28, State-gov,73211, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K\n32, Private,86723, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,52, United-States, <=50K\n31, Private,179186, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,90, United-States, >50K\n31, Private,127610, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n47, Private,115070, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, ?,172582, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K\n40, Private,256202, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Private,202872, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K\n41, Private,184102, 11th,7, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Federal-gov,130703, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n46, Private,134727, 11th,7, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male,0,0,43, Germany, <=50K\n45, Self-emp-inc,36228, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,4386,0,35, United-States, >50K\n39, Private,297847, 9th,5, Married-civ-spouse, Other-service, Wife, Black, Female,3411,0,34, United-States, <=50K\n19, Private,213644, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,173796, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,40, United-States, >50K\n49, Private,147322, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Peru, <=50K\n59, Private,296253, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,180871, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n18, ?,169882, Some-college,10, Never-married, ?, Own-child, White, Female,594,0,15, United-States, <=50K\n35, State-gov,211115, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,183870, 10th,6, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, <=50K\n28, Private,441620, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,43, Mexico, <=50K\n36, Federal-gov,218542, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n41, Self-emp-not-inc,141327, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K\n47, Private,67716, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n50, Self-emp-inc,175339, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,60, United-States, <=50K\n61, ?,347089, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K\n36, Private,336595, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n38, Private,27997, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,145574, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1902,60, United-States, >50K\n50, Private,30447, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n45, Self-emp-not-inc,256866, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5013,0,40, United-States, <=50K\n44, Self-emp-not-inc,120837, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,66, United-States, <=50K\n51, Private,185283, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n44, Self-emp-inc,229466, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,298225, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n60, Private,185749, 11th,7, Widowed, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K\n17, ?,333100, 10th,6, Never-married, ?, Own-child, White, Male,1055,0,30, United-States, <=50K\n49, Self-emp-inc,125892, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n46, Private,563883, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, United-States, >50K\n56, Private,311249, HS-grad,9, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K\n25, Private,221757, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,45, United-States, <=50K\n22, Private,310152, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n76, ?,211453, HS-grad,9, Widowed, ?, Not-in-family, Black, Female,0,0,2, United-States, <=50K\n41, Self-emp-inc,94113, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n48, Self-emp-inc,192945, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n46, Private,161508, 10th,6, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n30, Private,177675, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n39, Private,51100, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,100584, 10th,6, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n70, Federal-gov,163003, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n35, Private,67728, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,45, United-States, <=50K\n49, Private,101320, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,75, United-States, <=50K\n24, Private,42706, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, <=50K\n40, Private,228535, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,36, United-States, >50K\n61, Private,120939, Prof-school,15, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,5, United-States, >50K\n25, Private,98283, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n28, Local-gov,216481, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n69, State-gov,208869, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,11, United-States, <=50K\n22, Private,207940, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,36, United-States, <=50K\n47, Private,34248, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K\n38, Private,83727, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,48, United-States, <=50K\n26, Private,183077, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n17, Private,197850, 11th,7, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,24, United-States, <=50K\n33, Self-emp-not-inc,235271, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n43, Self-emp-not-inc,35236, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Private,255822, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n53, Self-emp-inc,263925, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,99999,0,40, United-States, >50K\n26, Private,256263, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,25, United-States, <=50K\n43, Local-gov,293535, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n31, Private,209448, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,2105,0,40, Mexico, <=50K\n30, Private,57651, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,2001,42, United-States, <=50K\n25, Private,174592, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n57, Federal-gov,278763, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,175232, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, >50K\n32, Private,402812, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n26, Private,101150, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,41, United-States, <=50K\n45, Private,103538, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n53, State-gov,156877, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,35, United-States, >50K\n27, Private,23940, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n28, Self-emp-inc,210295, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n32, Private,80058, 11th,7, Divorced, Sales, Not-in-family, White, Male,0,0,43, United-States, >50K\n35, Private,187119, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,1980,65, United-States, <=50K\n36, Self-emp-not-inc,105021, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n19, Private,225775, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-inc,395831, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K\n49, Private,50282, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,3325,0,45, United-States, <=50K\n20, Private,32732, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K\n64, Self-emp-inc,179436, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n60, ?,290593, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,123253, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K\n58, State-gov,48433, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,245317, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n20, Private,431745, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,14, United-States, <=50K\n42, State-gov,436006, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n25, Private,224943, Some-college,10, Married-spouse-absent, Prof-specialty, Unmarried, Black, Male,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,167990, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,65, United-States, >50K\n37, Self-emp-inc,217054, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n66, Self-emp-not-inc,298834, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n59, Self-emp-inc,125000, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, England, >50K\n44, Private,123983, Bachelors,13, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n46, Private,155489, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,58, United-States, >50K\n59, Private,284834, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,2885,0,30, United-States, <=50K\n25, Private,212495, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,1340,40, United-States, <=50K\n17, Local-gov,32124, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,9, United-States, <=50K\n47, Local-gov,246891, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n47, State-gov,141483, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,31985, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,170800, Some-college,10, Never-married, Farming-fishing, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Local-gov,166295, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,2339,55, United-States, <=50K\n20, Private,231286, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,15, United-States, <=50K\n33, Private,159322, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n48, Private,176026, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,118025, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n37, Private,26898, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,12, United-States, <=50K\n47, Private,232628, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Private,85995, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,125421, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K\n49, Private,245305, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,42, United-States, >50K\n50, Private,73493, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,197058, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,122116, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,75742, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,214731, 10th,6, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n35, Private,265954, HS-grad,9, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n26, State-gov,197156, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n62, Private,162245, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1628,70, United-States, <=50K\n39, Local-gov,203070, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Local-gov,165695, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n69, ?,473040, 5th-6th,3, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,168107, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,163494, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n38, Private,180342, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,122381, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,50, United-States, >50K\n27, Private,148069, 10th,6, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,200973, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n17, Private,130806, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K\n56, Private,117148, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,213977, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n62, Private,134768, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, ?, >50K\n44, Private,139338, 12th,8, Divorced, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K\n23, Private,315877, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n41, Self-emp-not-inc,195124, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, ?, <=50K\n25, Private,352057, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K\n21, Private,236684, Some-college,10, Never-married, Other-service, Other-relative, Black, Female,0,0,8, United-States, <=50K\n18, Private,208447, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,6, United-States, <=50K\n45, Private,149640, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n75, ?,111177, Bachelors,13, Widowed, ?, Not-in-family, White, Female,25124,0,16, United-States, >50K\n51, Private,154342, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n42, Federal-gov,141459, HS-grad,9, Separated, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K\n47, Private,111797, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,35, Outlying-US(Guam-USVI-etc), <=50K\n29, Private,111900, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,78707, 11th,7, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n43, Local-gov,160574, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, ?,174714, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,16, United-States, <=50K\n19, ?,62534, Bachelors,13, Never-married, ?, Own-child, Black, Female,0,0,40, Jamaica, <=50K\n44, Private,216907, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,40, United-States, >50K\n24, Private,198148, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n19, Private,124265, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n49, ?,261059, 10th,6, Separated, ?, Own-child, White, Male,2176,0,40, United-States, <=50K\n52, Private,208137, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,257250, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,52, United-States, <=50K\n24, State-gov,147253, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Local-gov,244268, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n72, ?,213255, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K\n26, Private,266912, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,169104, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n29, Private,200511, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,128715, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,10520,0,40, United-States, >50K\n48, Self-emp-not-inc,65535, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,103395, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n51, Private,71046, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, Scotland, <=50K\n28, Self-emp-not-inc,125442, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,169188, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K\n23, Private,121471, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Private,207281, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,16, United-States, <=50K\n26, Local-gov,46097, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n20, ?,206671, Some-college,10, Never-married, ?, Own-child, White, Male,1055,0,50, United-States, <=50K\n55, Private,98361, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, ?, >50K\n38, Self-emp-not-inc,322143, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,10, United-States, <=50K\n33, Private,149184, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K\n33, Local-gov,119829, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,60, United-States, <=50K\n37, Private,910398, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n19, Private,176570, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,60, United-States, <=50K\n24, Private,216129, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Private,27207, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n57, State-gov,68830, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n22, State-gov,178818, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n57, Private,236944, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K\n46, State-gov,273771, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n67, Private,318533, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K\n35, ?,451940, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n47, Private,102318, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,379350, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,21095, Some-college,10, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n58, Self-emp-not-inc,211547, 12th,8, Divorced, Sales, Not-in-family, White, Female,0,0,52, United-States, <=50K\n36, Private,85272, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K\n45, Private,46406, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, England, >50K\n54, Private,53833, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,161007, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n60, Private,53707, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,370119, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K\n26, Private,310907, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, <=50K\n32, Private,375833, 11th,7, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,107513, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,58683, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n44, Self-emp-not-inc,179557, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K\n37, Private,70240, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n44, Private,147206, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,175548, HS-grad,9, Never-married, Other-service, Not-in-family, Other, Female,0,0,35, United-States, <=50K\n61, Self-emp-not-inc,163174, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n51, Private,126010, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,147876, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,15024,0,60, United-States, >50K\n45, Private,428350, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,1740,40, United-States, <=50K\n36, ?,200904, Assoc-acdm,12, Married-civ-spouse, ?, Wife, Black, Female,0,0,21, Haiti, <=50K\n39, Private,328466, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,2407,0,70, Mexico, <=50K\n67, Local-gov,258973, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n40, State-gov,345969, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,127796, 5th-6th,3, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,35, Mexico, <=50K\n37, Private,405723, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n57, Private,175942, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,284196, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,89718, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,2202,0,48, United-States, <=50K\n34, Self-emp-inc,175761, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n54, Private,206369, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,50, United-States, >50K\n52, Private,158993, HS-grad,9, Divorced, Other-service, Other-relative, Black, Female,0,0,38, United-States, <=50K\n42, Private,285066, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n48, Private,126754, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n65, State-gov,209280, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,6514,0,35, United-States, >50K\n55, Self-emp-not-inc,52888, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,10, United-States, <=50K\n71, Self-emp-inc,133821, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n33, Private,240763, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n30, Private,39054, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,119272, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n59, Private,143372, 10th,6, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n19, Private,323421, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n36, Self-emp-not-inc,136028, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n26, Self-emp-not-inc,163189, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,202729, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,421871, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n44, Private,120277, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, Italy, >50K\n26, ?,211798, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Private,198901, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n18, Private,214617, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,16, United-States, <=50K\n55, Self-emp-not-inc,179715, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,18, United-States, <=50K\n49, Local-gov,107231, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2002,40, United-States, <=50K\n44, Private,110355, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,184378, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n62, Private,273454, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Cuba, <=50K\n44, Private,443040, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n39, ?,71701, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, Self-emp-inc,160151, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,107991, 11th,7, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n52, Private,94391, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,99835, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n44, Private,43711, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n43, Private,83756, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K\n51, Private,120914, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,2961,0,40, United-States, <=50K\n20, Private,180052, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n47, Private,170846, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Italy, >50K\n43, Private,37937, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K\n64, ?,168340, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, ?, >50K\n24, Private,38455, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Federal-gov,128059, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,420895, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,166744, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,12, United-States, <=50K\n26, Private,238768, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K\n43, Private,176270, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,60, United-States, >50K\n50, Private,140592, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n20, Self-emp-not-inc,211466, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,80, United-States, <=50K\n37, Private,188540, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,45, United-States, >50K\n43, Private,39581, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,45, United-States, <=50K\n37, Private,171150, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K\n53, Private,117496, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,36, Canada, <=50K\n44, Private,145160, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,28520, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,103851, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,1055,0,20, United-States, <=50K\n19, Private,375077, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K\n53, State-gov,281590, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,40, United-States, >50K\n44, Private,151504, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n51, Private,415287, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,1902,40, United-States, >50K\n49, Private,32212, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,43, United-States, <=50K\n35, Private,123606, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,202565, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n54, Private,177927, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n37, Private,256723, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n18, Private,46247, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n24, Private,266926, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,112031, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,50, United-States, <=50K\n22, ?,376277, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n35, Private,168817, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Private,187487, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n32, ?,158784, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,67222, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,45, China, <=50K\n43, Private,201723, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K\n73, Private,267408, HS-grad,9, Widowed, Sales, Other-relative, White, Female,0,0,15, United-States, <=50K\n47, Federal-gov,168191, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n49, Private,105444, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,39, United-States, <=50K\n38, Private,156728, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,148600, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n39, Private,19914, Some-college,10, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n42, Private,190767, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,233955, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, China, >50K\n35, Private,30381, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n38, Private,187069, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n31, Private,367314, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Local-gov,101119, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,70, United-States, <=50K\n38, Private,86551, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,48, United-States, >50K\n40, Local-gov,218995, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n21, Private,57711, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n44, Private,303521, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, Private,199067, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,247445, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n49, Private,186078, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n31, Private,77634, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,42, United-States, <=50K\n24, Private,180060, Masters,14, Never-married, Exec-managerial, Own-child, White, Male,6849,0,90, United-States, <=50K\n46, Private,56482, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n26, Private,314177, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,239755, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,38, United-States, <=50K\n27, Private,377680, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n64, Self-emp-not-inc,134960, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,35, United-States, >50K\n26, Private,294493, Bachelors,13, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n21, Private,32616, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,1719,16, United-States, <=50K\n45, Private,182655, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,45, ?, >50K\n57, Local-gov,52267, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,72, United-States, <=50K\n30, Private,117963, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,98881, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,32, United-States, <=50K\n50, Private,196963, 7th-8th,4, Divorced, Craft-repair, Not-in-family, White, Female,0,0,30, United-States, <=50K\n38, Private,166988, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,193459, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n42, Private,182342, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n32, Private,496743, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,154781, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,219371, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n45, Private,99179, 11th,7, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Private,224910, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,304651, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n37, Private,349689, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, Private,106850, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Self-emp-not-inc,196328, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, >50K\n25, Private,169323, Bachelors,13, Married-civ-spouse, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,162924, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,60, Japan, <=50K\n40, Self-emp-not-inc,34037, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,70, United-States, <=50K\n51, ?,167651, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,197384, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n42, Private,251795, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n65, ?,266081, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,165309, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,215873, 10th,6, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,45, United-States, <=50K\n46, Private,133938, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,27828,0,50, United-States, >50K\n49, Private,159816, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999,0,20, United-States, >50K\n24, Private,228424, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K\n32, Private,195576, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n71, Private,105200, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,6767,0,20, United-States, <=50K\n26, Private,167350, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,3103,0,40, United-States, >50K\n29, Private,52199, HS-grad,9, Married-spouse-absent, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,171338, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n51, Private,120173, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,50, United-States, >50K\n17, ?,158762, 10th,6, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n49, Private,169818, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, >50K\n31, Private,288419, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,207546, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n59, Local-gov,147707, HS-grad,9, Widowed, Farming-fishing, Unmarried, White, Male,0,2339,40, United-States, <=50K\n17, ?,228373, 10th,6, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n43, Private,193882, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n38, Private,31033, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K\n37, Private,272950, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,183523, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,238415, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,19302, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,2202,0,38, United-States, <=50K\n42, Local-gov,339671, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,8614,0,45, United-States, >50K\n35, Local-gov,103260, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K\n39, Private,79331, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,15024,0,40, United-States, >50K\n40, Private,135056, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n66, Private,142723, 5th-6th,3, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K\n30, Federal-gov,188569, 9th,5, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,57322, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,178309, 9th,5, Never-married, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K\n45, Private,166107, Masters,14, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n31, Private,53042, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, Trinadad&Tobago, <=50K\n33, Private,155343, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3103,0,40, United-States, >50K\n32, Private,35595, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,429507, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n50, Federal-gov,159670, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n63, Private,151210, 7th-8th,4, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,186792, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,204640, Some-college,10, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n52, Private,87205, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n38, Self-emp-inc,112847, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n41, Private,107306, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,2174,0,40, United-States, <=50K\n50, State-gov,211319, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K\n59, Private,183606, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,205390, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,49, United-States, <=50K\n73, Local-gov,232871, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,2228,0,10, United-States, <=50K\n52, Self-emp-inc,101017, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,38, United-States, <=50K\n57, Private,114495, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n35, Private,183898, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n51, Private,163921, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,56, United-States, >50K\n22, Private,311764, 11th,7, Widowed, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K\n49, Private,188330, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,267174, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n46, Local-gov,36228, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, <=50K\n48, Private,199739, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Private,185407, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n43, State-gov,206139, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,282063, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n31, Private,332379, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,418324, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,36, United-States, <=50K\n19, ?,263338, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,45, United-States, <=50K\n51, Private,158948, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,84, United-States, >50K\n51, Private,221532, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K\n22, Self-emp-not-inc,202920, HS-grad,9, Never-married, Prof-specialty, Unmarried, White, Female,99999,0,40, Dominican-Republic, >50K\n37, Local-gov,118909, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n19, Private,286469, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n45, Private,191914, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Female,0,0,55, United-States, <=50K\n21, State-gov,142766, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n52, Private,198744, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Local-gov,272780, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,24, United-States, <=50K\n42, State-gov,219553, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K\n56, Private,261232, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,64292, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Private,312131, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n70, Private,30713, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n30, Private,246439, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n45, Private,338105, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n23, Private,228243, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K\n34, Local-gov,62463, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1579,40, United-States, <=50K\n38, Private,31603, Bachelors,13, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K\n24, Private,165054, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,121618, 7th-8th,4, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n45, Federal-gov,273194, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,3325,0,40, United-States, <=50K\n21, ?,163665, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,538319, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, Puerto-Rico, <=50K\n34, Private,238246, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Self-emp-inc,244665, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,45, United-States, >50K\n21, Private,131811, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n63, ?,231777, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n23, Private,156807, 9th,5, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,36, United-States, <=50K\n28, Private,236861, Bachelors,13, Divorced, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n29, Self-emp-not-inc,229842, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Male,0,0,45, United-States, <=50K\n25, Local-gov,190057, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n44, State-gov,55076, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n18, Private,152545, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,8, United-States, <=50K\n26, Private,153434, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K\n47, Local-gov,171095, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n23, Private,239322, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,138999, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n61, Local-gov,95450, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,50, United-States, >50K\n25, Private,176520, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,72338, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,54, United-States, >50K\n60, ?,386261, Bachelors,13, Married-spouse-absent, ?, Unmarried, Black, Female,0,0,15, United-States, <=50K\n23, Private,235722, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n36, Federal-gov,128884, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,48, United-States, <=50K\n46, Private,187226, 9th,5, Divorced, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K\n32, Self-emp-not-inc,298332, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n40, Private,173607, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,226756, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n31, Private,157887, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n32, State-gov,171111, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,37, United-States, <=50K\n21, Private,126314, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n63, Private,174018, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K\n44, Private,144778, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n42, Self-emp-not-inc,201522, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n23, ?,22966, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K\n30, Private,399088, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n24, Private,282202, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, El-Salvador, <=50K\n42, Private,102606, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n44, Self-emp-not-inc,246862, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, Italy, >50K\n27, Federal-gov,508336, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,48, United-States, <=50K\n27, Local-gov,263431, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n22, Private,235733, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K\n68, Private,107910, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,184425, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, >50K\n22, Self-emp-not-inc,143062, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Greece, <=50K\n25, Private,199545, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,15, United-States, <=50K\n68, Self-emp-not-inc,197015, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n62, Private,149617, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,16, United-States, <=50K\n26, Private,33610, HS-grad,9, Divorced, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n34, Private,192002, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n68, Private,67791, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,445382, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n45, Private,112283, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n26, Private,157249, 11th,7, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,109872, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n23, Private,119838, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K\n29, Private,149943, Some-college,10, Never-married, Other-service, Not-in-family, Other, Male,0,1590,40, ?, <=50K\n65, Without-pay,27012, 7th-8th,4, Widowed, Farming-fishing, Unmarried, White, Female,0,0,50, United-States, <=50K\n31, Private,91666, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n26, Private,270276, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,179271, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n44, Private,161819, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n45, Local-gov,339681, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,1506,0,45, United-States, <=50K\n26, Self-emp-not-inc,219897, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n26, Private,91683, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n36, Private,188834, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,187046, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n39, Private,191807, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,48, United-States, <=50K\n52, Self-emp-inc,179951, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,324420, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Mexico, <=50K\n41, Self-emp-not-inc,66632, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,121718, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K\n47, Private,162034, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K\n28, Local-gov,218990, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,46, United-States, <=50K\n25, Local-gov,125863, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K\n35, Private,225330, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,120426, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,119741, Masters,14, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n44, Private,32000, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,18, United-States, >50K\n21, ?,124242, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,278581, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Private,230224, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n30, Private,204374, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1741,48, United-States, <=50K\n45, Private,188386, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1628,45, United-States, <=50K\n20, Private,164922, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n57, Private,195176, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,80, United-States, <=50K\n43, Private,166740, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K\n50, ?,156008, 11th,7, Married-civ-spouse, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n28, Private,162551, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female,0,0,48, China, <=50K\n25, Private,211231, HS-grad,9, Married-civ-spouse, Tech-support, Other-relative, White, Female,0,0,48, United-States, >50K\n25, Private,169990, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n90, Private,221832, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n38, Local-gov,255454, Bachelors,13, Separated, Prof-specialty, Unmarried, Black, Male,0,0,40, United-States, <=50K\n35, Private,28160, Bachelors,13, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, State-gov,159219, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Canada, >50K\n26, Local-gov,103148, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,165186, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n56, Private,31782, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n24, Local-gov,249101, HS-grad,9, Divorced, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,243190, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,40, United-States, >50K\n18, Local-gov,153405, 11th,7, Never-married, Adm-clerical, Other-relative, White, Female,0,0,25, United-States, <=50K\n37, Private,329980, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,60, United-States, >50K\n57, Private,176079, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, State-gov,218542, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n29, State-gov,303446, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, Nicaragua, <=50K\n40, Private,102606, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n44, Self-emp-not-inc,483201, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n77, Local-gov,144608, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,6, United-States, <=50K\n30, Private,226013, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n21, Private,165475, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n66, Private,263637, 10th,6, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,201495, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,35, United-States, <=50K\n68, Private,213720, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n64, Private,170483, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n26, Private,214303, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n32, Private,190511, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,242150, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, United-States, <=50K\n51, Local-gov,159755, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,147629, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K\n49, Private,268022, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,188711, Bachelors,13, Never-married, Transport-moving, Unmarried, White, Male,0,0,20, United-States, <=50K\n29, Private,452205, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K\n21, Private,260847, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n28, Private,291374, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n55, Private,189933, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,133969, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, South, >50K\n35, Private,330664, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, ?,672412, 11th,7, Separated, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n26, Private,122999, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,40, United-States, >50K\n30, Private,111415, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, Germany, <=50K\n33, Private,217235, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K\n40, Private,121956, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,13550,0,40, Cambodia, >50K\n23, Private,120172, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,343403, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,104790, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n39, Local-gov,473547, 10th,6, Divorced, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n53, Local-gov,260106, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n49, Federal-gov,168232, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,348491, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n36, Private,24106, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K\n60, Self-emp-inc,197553, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n29, Private,421065, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K\n54, Self-emp-inc,138852, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n28, ?,169631, Assoc-acdm,12, Married-AF-spouse, ?, Wife, White, Female,0,0,3, United-States, <=50K\n34, Private,379412, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,181992, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n19, Private,365640, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,45, ?, <=50K\n26, Private,236564, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,363418, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,70, United-States, >50K\n50, Private,112351, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,38, United-States, <=50K\n30, Private,204704, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, >50K\n44, Private,54611, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K\n49, Private,128132, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n75, Self-emp-not-inc,30599, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n37, Private,379522, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n51, State-gov,196504, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,38, United-States, <=50K\n35, Private,82552, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K\n28, Private,104024, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,293114, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,1409,0,40, United-States, <=50K\n72, Private,74141, 9th,5, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,48, United-States, >50K\n39, Private,192337, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n27, Private,262478, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,30, United-States, <=50K\n57, Private,185072, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, Jamaica, <=50K\n24, Private,296045, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,2635,0,38, United-States, <=50K\n28, Private,246595, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,70, United-States, <=50K\n23, Private,54472, Some-college,10, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n31, Private,331065, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,1408,40, United-States, <=50K\n23, Private,161708, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n31, Private,264936, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Local-gov,113545, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,212237, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1740,45, United-States, <=50K\n31, Private,170430, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,80, ?, <=50K\n34, Private,173806, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,4865,0,60, United-States, <=50K\n57, Federal-gov,370890, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,2258,40, United-States, <=50K\n39, Private,505119, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Cuba, >50K\n23, Private,193089, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Local-gov,33432, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n36, Private,103110, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, England, <=50K\n32, Private,160362, Some-college,10, Divorced, Other-service, Other-relative, White, Male,0,0,40, Nicaragua, <=50K\n35, Private,204621, Assoc-acdm,12, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,35309, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n23, ?,154373, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,50, United-States, <=50K\n47, Private,194772, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,154410, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Federal-gov,220563, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n32, State-gov,253354, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,211699, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1485,40, United-States, >50K\n63, Self-emp-not-inc,167501, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,20051,0,10, United-States, >50K\n34, Private,229732, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,185465, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,335764, 11th,7, Married-civ-spouse, Sales, Own-child, Black, Male,0,0,35, United-States, <=50K\n23, Private,460046, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,42, United-States, <=50K\n19, ?,33487, Some-college,10, Never-married, ?, Other-relative, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n50, Private,176924, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K\n49, State-gov,213307, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,83893, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,194102, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n61, Private,238611, 7th-8th,4, Widowed, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K\n41, Private,113597, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,16, United-States, <=50K\n27, Self-emp-not-inc,208406, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n53, Private,274528, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, <=50K\n17, Self-emp-not-inc,60116, 10th,6, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K\n23, ?,196816, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n53, Private,166368, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,303954, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,42, United-States, >50K\n24, Private,99386, Bachelors,13, Married-spouse-absent, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,188569, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n53, Private,302868, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n18, Private,283342, 11th,7, Never-married, Other-service, Other-relative, Black, Male,0,0,20, United-States, <=50K\n24, Private,233777, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,50, Mexico, <=50K\n20, Private,170038, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Local-gov,261319, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n37, State-gov,367237, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,40, United-States, >50K\n34, Private,126838, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,354104, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n20, Private,176321, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K\n47, Private,85129, HS-grad,9, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n20, ?,376474, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,32, United-States, <=50K\n22, Private,62507, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Local-gov,111252, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n60, Private,156889, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,549430, HS-grad,9, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,40, Mexico, <=50K\n46, Private,29696, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n66, Private,98837, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,86150, Bachelors,13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,30, United-States, >50K\n34, Private,204991, Some-college,10, Divorced, Exec-managerial, Own-child, White, Male,0,0,44, United-States, <=50K\n45, Private,371886, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,46, United-States, <=50K\n35, Private,103605, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n63, ?,54851, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,133050, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n36, Local-gov,126569, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n25, Federal-gov,144259, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n51, Private,161482, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K\n25, Self-emp-not-inc,305449, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,125010, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,45, United-States, <=50K\n47, Private,304133, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n59, Local-gov,120617, HS-grad,9, Separated, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K\n34, Private,157747, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,297396, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,60, United-States, <=50K\n42, Private,121287, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n28, ?,308493, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,17, Honduras, <=50K\n37, Private,49115, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n51, Self-emp-inc,208302, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,38, United-States, >50K\n25, Private,304032, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,36, United-States, <=50K\n31, Federal-gov,207301, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n37, Private,123211, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,44, United-States, >50K\n42, Private,33521, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n29, ?,410351, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,410034, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n51, Private,175339, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,47, United-States, >50K\n22, ?,27937, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,36, United-States, <=50K\n49, Private,168211, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, >50K\n26, Private,125680, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,16, Japan, <=50K\n56, Local-gov,160829, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,46, United-States, <=50K\n52, Private,266529, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n61, Self-emp-not-inc,115023, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,4, ?, <=50K\n47, State-gov,224149, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n52, Private,150930, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,343699, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-inc,172826, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,99999,0,55, United-States, >50K\n35, Private,163392, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n17, ?,103810, 12th,8, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,213821, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K\n26, Private,211265, Some-college,10, Married-spouse-absent, Craft-repair, Other-relative, Black, Female,0,0,35, Dominican-Republic, <=50K\n58, Local-gov,160586, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n66, Private,146454, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5556,0,40, United-States, >50K\n30, Private,203277, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K\n46, Private,309895, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,26522, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1902,35, United-States, >50K\n57, Private,103809, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,90291, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n21, State-gov,181761, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,10, United-States, <=50K\n37, Private,35330, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1669,55, United-States, <=50K\n45, Local-gov,135776, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n61, ?,188172, Doctorate,16, Widowed, ?, Not-in-family, White, Female,0,0,5, United-States, <=50K\n39, Private,179579, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,193626, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,53, United-States, <=50K\n20, Private,108887, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,199070, HS-grad,9, Never-married, Protective-serv, Own-child, Black, Male,0,0,16, United-States, <=50K\n25, Private,441591, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,185254, 5th-6th,3, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, El-Salvador, <=50K\n24, Private,109307, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K\n20, ?,81853, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K\n35, Private,23621, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,70, United-States, <=50K\n44, Local-gov,145178, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,38, Jamaica, >50K\n47, State-gov,30575, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n28, State-gov,130620, 11th,7, Separated, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, India, <=50K\n41, Local-gov,22155, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K\n31, Private,106437, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,79787, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,25, United-States, <=50K\n47, Private,326857, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n44, Private,81853, HS-grad,9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n61, Private,120933, Some-college,10, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Federal-gov,153143, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, Puerto-Rico, <=50K\n46, Private,27669, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K\n46, Private,105444, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n54, Local-gov,169785, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K\n49, Private,122493, HS-grad,9, Widowed, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K\n56, Local-gov,242670, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Private,54933, Masters,14, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,209317, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n25, Self-emp-not-inc,282631, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,98044, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n58, Private,187487, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, State-gov,60186, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,75648, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n28, Private,201175, 11th,7, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n30, Private,19302, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K\n21, ?,300812, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n44, Private,146659, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,35, United-States, >50K\n75, Private,101887, 10th,6, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,70, United-States, <=50K\n66, ?,117778, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,60726, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Self-emp-inc,201763, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n57, Self-emp-inc,119253, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,65, United-States, >50K\n47, Self-emp-not-inc,121124, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, Italy, >50K\n41, Private,220132, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n21, Private,60639, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K\n17, Private,195262, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,17, United-States, <=50K\n61, ?,113544, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,55, United-States, <=50K\n47, ?,331650, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,8, United-States, >50K\n22, Private,100587, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,15, United-States, <=50K\n47, Private,298130, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,242391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n32, Self-emp-not-inc,197867, Assoc-voc,11, Divorced, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K\n59, Private,151977, 10th,6, Separated, Priv-house-serv, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n38, Private,277347, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,125249, HS-grad,9, Separated, Protective-serv, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Private,222142, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,270194, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,169995, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n27, Private,359155, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n60, Private,123992, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n64, Local-gov,266080, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n37, Private,201531, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n54, Self-emp-not-inc,179704, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n36, Private,393673, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n34, Private,244147, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n41, Self-emp-not-inc,438696, Masters,14, Divorced, Sales, Unmarried, White, Male,0,0,5, United-States, >50K\n35, Self-emp-not-inc,207568, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, <=50K\n63, Self-emp-inc,54052, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, >50K\n46, Private,187581, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,77102, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,353010, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,65, United-States, <=50K\n29, Private,54131, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n74, Federal-gov,39890, Some-college,10, Widowed, Transport-moving, Not-in-family, White, Female,0,0,18, United-States, <=50K\n50, Private,156877, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K\n22, Private,355686, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,300168, 12th,8, Separated, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n30, Private,488720, 9th,5, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K\n32, Private,157287, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,184659, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,214169, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,192149, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,137253, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n44, Private,373050, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n65, Private,90377, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,6767,0,60, United-States, <=50K\n28, Federal-gov,183151, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, <=50K\n55, Private,227158, Bachelors,13, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Local-gov,34021, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,50, United-States, <=50K\n31, Private,165148, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,12, United-States, <=50K\n47, Private,211668, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, >50K\n45, Private,358886, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,47707, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,306982, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,60, South, <=50K\n49, Local-gov,52590, HS-grad,9, Widowed, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, ?,179352, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n27, Private,158156, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,42, United-States, <=50K\n42, Private,70055, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n60, ?,131852, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K\n64, Self-emp-not-inc,177825, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,1055,0,40, United-States, <=50K\n33, Private,127215, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K\n23, Private,175183, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,142287, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,221324, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n53, Private,227602, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,37, Mexico, <=50K\n22, Private,228452, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n57, State-gov,39380, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n20, ?,96862, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,8, United-States, <=50K\n23, Private,336360, 7th-8th,4, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n31, Private,257644, 11th,7, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n23, State-gov,235853, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,22, United-States, <=50K\n30, Private,270577, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Local-gov,222900, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n42, Private,99254, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, >50K\n51, Private,224763, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Cuba, <=50K\n59, Self-emp-not-inc,174056, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n36, Private,127306, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Private,339506, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,178322, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Germany, >50K\n33, Private,189843, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,160815, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, Private,207665, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n37, State-gov,160402, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n35, Private,170263, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,184659, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,52, United-States, <=50K\n38, Federal-gov,338320, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n54, Private,101017, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,204322, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,241350, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n63, Federal-gov,217994, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Private,128143, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n58, Self-emp-not-inc,164065, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,18, United-States, <=50K\n64, Local-gov,78866, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,236769, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Federal-gov,239539, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n39, Private,34028, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,48, United-States, <=50K\n45, State-gov,207847, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,175935, Doctorate,16, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, >50K\n22, Federal-gov,218445, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n63, Self-emp-inc,215833, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,156976, Assoc-voc,11, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,220647, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n20, Private,218343, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n29, Private,241431, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K\n38, Local-gov,123983, Bachelors,13, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0,1741,40, Vietnam, <=50K\n25, Private,73289, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,408623, Bachelors,13, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,50, United-States, <=50K\n46, Private,169180, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,54929, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n24, Private,306779, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,35, United-States, <=50K\n43, Private,159549, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,482082, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,21, Mexico, <=50K\n32, Local-gov,286101, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Female,0,0,37, United-States, <=50K\n44, Private,167955, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, <=50K\n40, Self-emp-not-inc,209040, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,105017, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n23, Private,27776, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,242941, Some-college,10, Never-married, Sales, Own-child, White, Female,0,1602,10, United-States, <=50K\n41, Private,118853, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,119565, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,196827, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1902,40, United-States, <=50K\n47, Private,275361, Assoc-acdm,12, Widowed, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n42, Private,225193, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,329783, 10th,6, Never-married, Sales, Other-relative, White, Female,0,0,10, United-States, <=50K\n29, Local-gov,107411, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K\n21, State-gov,258490, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n18, ?,120243, 11th,7, Never-married, ?, Own-child, White, Male,0,0,27, United-States, <=50K\n31, Private,219509, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, >50K\n27, Local-gov,29174, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,40083, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Canada, <=50K\n23, Private,87528, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K\n41, Private,116379, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,55, Taiwan, >50K\n46, Local-gov,216214, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n34, Private,268051, Some-college,10, Married-civ-spouse, Protective-serv, Other-relative, Black, Female,0,0,25, Haiti, <=50K\n42, Self-emp-not-inc,121718, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,24, United-States, <=50K\n18, Private,201901, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,1719,15, United-States, <=50K\n46, Private,109089, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,37, United-States, <=50K\n18, ?,346382, 11th,7, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K\n52, Private,284129, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,143030, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n21, Private,212619, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Self-emp-not-inc,199011, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,20, United-States, <=50K\n31, Private,118901, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n41, Self-emp-not-inc,129865, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,157900, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,349341, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n45, Private,158685, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,386585, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,60, United-States, <=50K\n90, Private,52386, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,35, United-States, <=50K\n45, Private,246891, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n30, Private,190385, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K\n42, Private,37869, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,217807, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n53, Private,149784, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n64, State-gov,201293, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n56, Private,128764, 7th-8th,4, Widowed, Transport-moving, Not-in-family, White, Male,0,0,20, United-States, <=50K\n42, Private,27444, Some-college,10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n26, Private,62438, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n31, Local-gov,151726, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n40, Private,29841, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n58, Private,131608, Some-college,10, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,110562, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,190541, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,47, United-States, <=50K\n62, State-gov,33142, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n65, Self-emp-inc,139272, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,60, United-States, >50K\n40, Private,234633, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Local-gov,238386, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,460835, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,55, United-States, <=50K\n23, ?,243190, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,20, China, <=50K\n63, Federal-gov,97855, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n39, Private,77146, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K\n37, Private,200863, Some-college,10, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n25, ?,41107, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,40, Canada, <=50K\n56, Private,77415, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,236770, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n53, Federal-gov,173093, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,1887,40, Philippines, >50K\n32, Private,235124, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Self-emp-not-inc,282604, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,60, United-States, >50K\n35, Private,199288, 11th,7, Separated, Transport-moving, Not-in-family, White, Male,0,0,90, United-States, <=50K\n51, Private,191659, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,65, United-States, >50K\n19, Private,43285, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Private,160837, 11th,7, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n22, Private,230574, 10th,6, Never-married, Transport-moving, Own-child, White, Male,0,0,25, United-States, <=50K\n23, Private,176178, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,116358, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K\n27, ?,253873, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n45, Private,107787, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, <=50K\n23, Self-emp-not-inc,519627, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,25, Mexico, <=50K\n21, Private,191460, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n44, Private,198282, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n29, Private,214858, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n36, Self-emp-not-inc,64875, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, <=50K\n18, Private,675421, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,594,0,40, United-States, <=50K\n62, Self-emp-not-inc,134768, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n25, Federal-gov,207342, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n34, Private,64830, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n31, Private,220066, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,14344,0,50, United-States, >50K\n37, Private,82521, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n33, Private,176711, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, England, <=50K\n22, ?,217421, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n28, Private,111900, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n22, ?,196943, Some-college,10, Separated, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n47, Private,481987, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n67, ?,184506, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,419,3, United-States, <=50K\n20, ?,121313, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,158420, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n26, Private,256000, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K\n36, Private,183892, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,44, United-States, >50K\n28, Private,42734, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,181773, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n47, Private,184945, Some-college,10, Separated, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n33, Private,107248, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n34, Self-emp-inc,215382, Masters,14, Separated, Prof-specialty, Not-in-family, White, Female,4787,0,40, United-States, >50K\n25, Private,122999, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,758700, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3781,0,50, Mexico, <=50K\n36, State-gov,166606, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n61, Local-gov,192060, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,30, ?, <=50K\n74, ?,340939, 9th,5, Married-civ-spouse, ?, Husband, White, Male,3471,0,40, United-States, <=50K\n57, Private,205708, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, <=50K\n55, Private,67450, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, England, <=50K\n20, Private,242077, HS-grad,9, Divorced, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n43, Private,129573, HS-grad,9, Never-married, Sales, Not-in-family, Black, Female,0,0,44, United-States, <=50K\n54, Private,181132, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, England, >50K\n25, Private,212302, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,83411, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,1408,40, United-States, <=50K\n23, ?,148751, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n17, Private,317681, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,10, United-States, <=50K\n39, ?,103986, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,1590,40, United-States, <=50K\n63, Private,30602, 7th-8th,4, Married-spouse-absent, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n19, Private,172893, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,30, United-States, <=50K\n56, Self-emp-inc,211804, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n33, Self-emp-not-inc,312055, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n37, Private,65390, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,200500, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n36, Local-gov,241962, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-inc,78530, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, Canada, >50K\n22, Private,189950, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K\n35, Private,111387, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1579,40, United-States, <=50K\n20, Private,241951, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K\n18, Private,343059, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,302465, 12th,8, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,1741,40, United-States, <=50K\n53, Private,156843, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,54, United-States, >50K\n21, ?,79728, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,55284, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n34, Private,509364, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K\n32, State-gov,117927, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n20, Private,137651, Some-college,10, Never-married, Machine-op-inspct, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n70, Private,131060, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K\n57, Private,346963, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,183611, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,3137,0,50, United-States, <=50K\n34, Private,134737, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,36503, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,250121, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n45, Private,330535, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n27, Private,387776, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,41474, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n36, Local-gov,318972, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,65, United-States, <=50K\n33, Private,86143, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n50, Private,181139, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,326232, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,2547,50, United-States, >50K\n39, Local-gov,153976, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-not-inc,59469, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K\n24, Private,127139, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,136343, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,350624, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n66, ?,177351, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,2174,40, United-States, >50K\n68, Private,166149, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,2206,30, United-States, <=50K\n29, Private,121523, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n24, Self-emp-not-inc,267396, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Private,83045, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,160449, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, >50K\n55, Self-emp-inc,124137, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,35, Greece, >50K\n20, ?,287681, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,36, United-States, <=50K\n41, Private,154194, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,295127, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K\n60, Private,240521, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n61, Self-emp-not-inc,244087, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K\n35, Private,356250, Prof-school,15, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,35, China, <=50K\n42, State-gov,293791, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,44308, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Local-gov,210527, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, State-gov,151763, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,25, United-States, <=50K\n39, State-gov,267581, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n20, Private,100188, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,24, United-States, <=50K\n32, Self-emp-inc,111746, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,171091, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,355645, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,20, Trinadad&Tobago, <=50K\n54, Local-gov,137678, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,70894, Assoc-acdm,12, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n19, Private,171306, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,3, United-States, <=50K\n31, Private,100997, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n35, Private,63921, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n29, Private,32897, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n29, Local-gov,251854, HS-grad,9, Never-married, Protective-serv, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n25, Private,345121, 10th,6, Separated, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n46, Private,86220, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,172845, Assoc-voc,11, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n20, Private,171398, 10th,6, Never-married, Sales, Not-in-family, Other, Male,0,0,40, United-States, <=50K\n24, Self-emp-not-inc,174391, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n48, Private,207058, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K\n37, Private,291251, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,224377, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,105813, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Local-gov,180916, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n31, Self-emp-not-inc,122749, Assoc-voc,11, Divorced, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n38, Private,31069, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, United-States, >50K\n26, Self-emp-not-inc,284343, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n64, Private,319371, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n46, Private,174224, Assoc-voc,11, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n69, ?,183958, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n39, Private,127772, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3103,0,44, United-States, >50K\n48, Private,80651, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,55, United-States, <=50K\n46, Private,62793, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n42, Private,191712, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,1590,40, United-States, <=50K\n39, Self-emp-not-inc,237532, HS-grad,9, Married-civ-spouse, Sales, Wife, Black, Female,0,0,54, Dominican-Republic, >50K\n50, Federal-gov,20179, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,311376, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,432565, Assoc-voc,11, Married-civ-spouse, Tech-support, Other-relative, White, Female,0,0,40, Canada, >50K\n39, Self-emp-inc,329980, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,60, United-States, >50K\n29, Self-emp-not-inc,125190, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,342946, 11th,7, Never-married, Transport-moving, Own-child, White, Female,0,0,38, United-States, <=50K\n21, ?,219835, Assoc-voc,11, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,123429, 10th,6, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n69, Self-emp-inc,69209, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3818,0,30, United-States, <=50K\n55, Private,66356, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n41, Private,195897, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n44, Self-emp-inc,153132, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,52, United-States, >50K\n18, Private,230875, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n74, Self-emp-not-inc,92298, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, <=50K\n40, Private,185145, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,297296, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n75, ?,164849, 9th,5, Married-civ-spouse, ?, Husband, Black, Male,1409,0,5, United-States, <=50K\n55, Private,145214, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,242341, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n54, Private,240542, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K\n36, Private,104772, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,48, United-States, <=50K\n76, ?,152802, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n26, Private,181666, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n18, Private,415520, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n38, Private,258761, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n50, Private,88842, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,40, United-States, >50K\n19, ?,356717, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n32, Private,158438, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n57, Private,206206, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,51816, HS-grad,9, Never-married, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K\n27, Private,253814, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,161745, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,1980,60, United-States, <=50K\n60, Private,162947, 5th-6th,3, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Puerto-Rico, <=50K\n52, Private,163027, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,50, United-States, <=50K\n61, Private,146788, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,73309, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, >50K\n19, ?,143867, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,104216, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K\n34, Self-emp-not-inc,345705, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, >50K\n31, Private,133770, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,50, United-States, >50K\n42, Private,209392, HS-grad,9, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n70, Private,262345, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,6, United-States, <=50K\n47, Private,277545, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K\n47, ?,174525, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,3942,0,40, ?, <=50K\n29, Private,490332, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,211570, 11th,7, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K\n25, Private,374918, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n51, Private,106728, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,60, United-States, >50K\n28, Private,173649, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, ?, <=50K\n35, Private,174597, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,233533, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n54, ?,169785, Masters,14, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,133169, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,198824, Assoc-voc,11, Separated, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n65, Private,174056, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,188696, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,90692, HS-grad,9, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n34, Private,271933, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Female,0,1741,45, United-States, <=50K\n47, Self-emp-not-inc,102359, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K\n49, Federal-gov,213668, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,56, United-States, >50K\n21, Private,294789, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n20, Private,157599, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n18, Local-gov,134935, 12th,8, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,466224, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,111985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,264627, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,213427, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,279015, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K\n47, Private,165937, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n27, Federal-gov,188343, HS-grad,9, Separated, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n63, Private,158609, Assoc-voc,11, Widowed, Adm-clerical, Unmarried, White, Female,0,0,8, United-States, <=50K\n34, Private,193036, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n25, Private,198632, Some-college,10, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n54, Private,175912, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Male,914,0,40, United-States, <=50K\n19, ?,192773, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n35, Private,101387, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n24, Private,60783, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K\n26, Private,183224, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,35, United-States, <=50K\n59, Local-gov,100776, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,57600, Doctorate,16, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, ?, <=50K\n20, Private,174063, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Private,306495, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,249741, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,93021, HS-grad,9, Never-married, Adm-clerical, Unmarried, Other, Female,0,0,40, United-States, <=50K\n36, Private,49626, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,63062, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K\n55, Private,320835, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n22, Local-gov,123727, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,21, United-States, <=50K\n58, State-gov,110517, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,4064,0,40, India, <=50K\n43, Private,149670, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,4064,0,15, United-States, <=50K\n39, Private,172425, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n40, Private,216116, 9th,5, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, Haiti, <=50K\n46, Private,174209, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n54, Federal-gov,175083, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n19, Private,129059, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,30, United-States, <=50K\n24, Private,121313, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n53, ?,181317, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n24, State-gov,166851, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,13, United-States, <=50K\n29, Self-emp-not-inc,29616, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,65, United-States, <=50K\n56, Self-emp-inc,105582, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n54, ?,124993, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n21, ?,148509, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n34, Private,230246, 9th,5, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K\n56, Private,117881, 11th,7, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,203408, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n19, Private,446219, 10th,6, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n32, Self-emp-inc,110331, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n48, Private,207946, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,52, United-States, <=50K\n67, ?,45537, Masters,14, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, >50K\n47, Private,188330, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, United-States, <=50K\n52, Private,147629, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n40, Private,153799, 1st-4th,2, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,0,0,40, Dominican-Republic, <=50K\n28, Private,203776, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,168071, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n57, Private,348430, 1st-4th,2, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, Portugal, <=50K\n51, Private,103407, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, ?,152046, 11th,7, Never-married, ?, Not-in-family, White, Female,0,0,35, Germany, <=50K\n36, Private,153205, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, ?, <=50K\n33, Private,326104, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n46, Private,238162, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n50, Private,221336, HS-grad,9, Divorced, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n33, Private,180656, Some-college,10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K\n77, Self-emp-not-inc,145329, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,401,0,20, United-States, <=50K\n39, Private,315776, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Male,8614,0,52, United-States, >50K\n67, ?,150516, HS-grad,9, Widowed, ?, Unmarried, White, Male,0,0,3, United-States, <=50K\n35, Private,325802, Assoc-acdm,12, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,24, United-States, <=50K\n23, Private,133985, 10th,6, Never-married, Craft-repair, Own-child, Black, Female,0,0,40, United-States, <=50K\n37, Private,269329, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,8614,0,45, United-States, >50K\n41, Private,183203, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n60, Private,76127, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, >50K\n32, Private,195891, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,55, United-States, <=50K\n56, Federal-gov,162137, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n45, State-gov,37672, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,161708, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n18, Private,80616, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,27, United-States, <=50K\n31, Private,209276, HS-grad,9, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, United-States, <=50K\n21, ?,34443, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K\n45, Private,192835, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,55, United-States, >50K\n23, Private,203240, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, State-gov,102308, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,40829, 11th,7, Never-married, Sales, Other-relative, Amer-Indian-Eskimo, Female,0,0,25, United-States, <=50K\n25, Private,60726, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,30, United-States, <=50K\n31, State-gov,116677, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,57067, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,45, United-States, <=50K\n41, Private,304906, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n74, Private,101590, Prof-school,15, Widowed, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n27, Private,258102, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n23, Private,241185, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,124827, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-inc,76625, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n41, Federal-gov,263339, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,135645, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K\n42, Private,245626, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n24, Private,210781, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,235786, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n45, Self-emp-not-inc,160167, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n52, Federal-gov,30731, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n34, Private,314375, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,81528, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,60, United-States, <=50K\n54, Private,182854, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n42, Federal-gov,296798, 11th,7, Never-married, Tech-support, Not-in-family, White, Male,0,1340,40, United-States, <=50K\n32, Private,194426, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,40, United-States, >50K\n40, ?,70645, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K\n55, Self-emp-inc,141807, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n66, ?,112871, 11th,7, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n52, State-gov,71344, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n21, State-gov,341410, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K\n33, Private,118941, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n52, ?,159755, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,128509, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, ?, <=50K\n27, Self-emp-not-inc,229125, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,142756, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n27, Self-emp-inc,243871, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K\n47, Private,213140, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n19, Private,196857, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,138626, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,161334, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,25, Nicaragua, <=50K\n50, Private,273536, 7th-8th,4, Married-civ-spouse, Sales, Husband, Other, Male,0,0,49, Dominican-Republic, <=50K\n32, Private,115631, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,4101,0,50, United-States, <=50K\n28, Private,185957, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n23, Private,334357, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n43, Private,96102, Masters,14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n34, Private,213226, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Iran, >50K\n19, Private,115248, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n37, Private,185061, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,55, United-States, <=50K\n27, Private,147638, Bachelors,13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, Hong, <=50K\n18, Private,280298, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K\n31, Private,163516, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,277434, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n26, Federal-gov,206983, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Columbia, <=50K\n48, Private,108993, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n39, Private,288551, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n41, Private,176069, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n48, State-gov,183486, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,56, United-States, >50K\n40, Private,163215, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,10520,0,40, United-States, >50K\n70, Private,94692, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n20, Private,118462, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,43, United-States, <=50K\n38, Private,407068, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,75, Mexico, <=50K\n37, Self-emp-not-inc,243587, Some-college,10, Separated, Other-service, Own-child, White, Female,0,0,40, Cuba, <=50K\n49, Private,23074, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n51, Private,237735, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3103,0,40, United-States, >50K\n43, Private,188291, 1st-4th,2, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,284166, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n18, ?,423460, 11th,7, Never-married, ?, Own-child, White, Male,0,0,36, United-States, <=50K\n23, Private,287681, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Male,0,0,25, Mexico, <=50K\n34, Private,509364, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, ?,139391, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K\n33, Private,91964, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n31, Private,117526, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,45, United-States, <=50K\n64, Private,91343, Some-college,10, Widowed, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Local-gov,336969, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,28, El-Salvador, <=50K\n55, Private,255364, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n61, Local-gov,167670, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,211494, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n78, Local-gov,136198, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,15, United-States, <=50K\n27, Federal-gov,409815, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Private,188823, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,42, United-States, <=50K\n55, State-gov,146326, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K\n42, Private,154374, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,58, United-States, <=50K\n22, ?,216563, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,40, United-States, <=50K\n61, Private,197286, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n64, Self-emp-not-inc,100722, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,5, United-States, <=50K\n46, Local-gov,377622, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,145964, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,358636, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,70, United-States, <=50K\n47, Private,155489, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,55, United-States, >50K\n18, Private,57413, Some-college,10, Divorced, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n48, Private,320421, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n50, Self-emp-not-inc,174752, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, State-gov,229364, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n56, Self-emp-not-inc,157486, 10th,6, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,92682, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,4865,0,40, United-States, <=50K\n56, Federal-gov,101338, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,132652, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n21, Private,34616, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n40, Private,218903, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Local-gov,204098, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,50, United-States, <=50K\n52, Self-emp-not-inc,64045, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,45, United-States, >50K\n46, Private,189763, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n23, Private,26248, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,92079, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n19, Private,280071, Some-college,10, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,50, United-States, <=50K\n20, Private,224059, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,185520, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,8614,0,40, United-States, >50K\n24, Private,265567, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n72, Private,106890, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, State-gov,39586, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K\n42, Private,153132, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,45, ?, <=50K\n51, Private,209912, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K\n39, Private,144169, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n40, Local-gov,50442, Some-college,10, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,2977,0,35, United-States, <=50K\n34, Private,89644, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n19, Private,275889, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Mexico, <=50K\n26, Private,231638, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Local-gov,224474, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,4934,0,50, United-States, >50K\n28, Private,355259, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n30, Federal-gov,68330, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n32, Private,185410, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,87653, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n21, Private,286853, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n54, Private,96710, HS-grad,9, Married-civ-spouse, Priv-house-serv, Other-relative, Black, Female,0,0,20, United-States, <=50K\n62, Private,160143, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, >50K\n25, Private,186925, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,2597,0,48, United-States, <=50K\n49, Self-emp-inc,109705, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,32, United-States, <=50K\n32, Private,94235, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,225279, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,1602,40, ?, <=50K\n37, Local-gov,297449, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n58, Private,205896, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n37, Private,93717, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298,0,45, United-States, >50K\n41, Private,194710, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,236391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n47, State-gov,189123, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,358677, HS-grad,9, Divorced, Other-service, Unmarried, Black, Male,0,0,35, United-States, <=50K\n30, State-gov,199539, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,40, United-States, <=50K\n43, Private,128170, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n34, Private,231238, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n57, Private,296152, Some-college,10, Divorced, Exec-managerial, Other-relative, White, Female,594,0,10, United-States, <=50K\n46, Private,166003, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,281437, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n20, Private,190231, 9th,5, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,11, Nicaragua, <=50K\n47, Private,122026, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n55, ?,205527, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,20, United-States, <=50K\n53, Self-emp-not-inc,174102, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,50, Greece, >50K\n43, Private,125461, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n80, Self-emp-not-inc,184335, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n24, Private,211345, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, Mexico, <=50K\n43, Local-gov,147328, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K\n22, Private,222993, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,225978, Some-college,10, Separated, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n48, Private,121124, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n56, ?,656036, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n34, ?,346762, 11th,7, Divorced, ?, Own-child, White, Male,0,0,84, United-States, <=50K\n51, Private,234057, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n24, Federal-gov,306515, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,116562, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,171159, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n24, Private,199011, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,443508, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, Canada, >50K\n24, Private,29810, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K\n22, Local-gov,238831, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Federal-gov,566117, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,255044, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n20, Private,436253, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n31, Private,300687, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n55, Private,144071, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,18, United-States, >50K\n49, State-gov,133917, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,1902,60, ?, >50K\n26, Private,188767, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,300777, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K\n35, Private,26987, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,174395, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,60, Greece, <=50K\n59, Private,90290, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,34, United-States, <=50K\n61, Private,183735, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n31, Private,123273, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n43, Federal-gov,186916, Masters,14, Divorced, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, >50K\n61, Private,43554, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,2339,40, United-States, <=50K\n54, Private,178251, Assoc-acdm,12, Widowed, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n30, Private,255885, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n20, Private,64292, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n27, State-gov,194773, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, Germany, <=50K\n44, Self-emp-inc,133060, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,60, United-States, <=50K\n64, Private,258006, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, Cuba, <=50K\n55, Private,92215, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,33945, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,6849,0,55, United-States, <=50K\n61, Private,153048, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n28, Private,192200, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K\n34, Private,355571, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n47, Self-emp-inc,139268, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K\n26, Private,34402, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n35, Private,25955, 11th,7, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n36, Private,209609, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, <=50K\n47, Private,168283, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,295488, 11th,7, Never-married, Other-service, Own-child, Black, Female,0,0,25, United-States, <=50K\n35, Private,190895, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n33, Private,164190, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n25, Private,216010, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n18, Private,387568, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,10, United-States, <=50K\n47, State-gov,188386, Masters,14, Separated, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K\n44, Private,174491, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n41, Private,31221, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n30, Private,272451, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Self-emp-not-inc,152652, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n53, Private,104413, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K\n40, Private,105936, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,5013,0,20, United-States, <=50K\n24, Private,379066, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,2205,24, United-States, <=50K\n27, Private,214858, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,237735, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,37, Mexico, <=50K\n36, Private,158592, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,237321, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, >50K\n41, Private,23646, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,169240, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Federal-gov,454508, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,130356, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K\n22, Private,427686, 10th,6, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Local-gov,36411, 12th,8, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K\n39, Private,548510, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,30, United-States, <=50K\n38, Private,187264, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, <=50K\n35, State-gov,140752, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,325596, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,175804, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,107302, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n63, Local-gov,41161, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n39, Private,401832, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n57, Self-emp-not-inc,353808, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n58, Self-emp-inc,349910, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n29, Private,161478, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Japan, <=50K\n17, Private,400225, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n40, Private,367533, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n69, Self-emp-not-inc,69306, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, <=50K\n28, Private,270366, 10th,6, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,103751, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,75227, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,14084,0,40, United-States, >50K\n45, Local-gov,132563, Prof-school,15, Divorced, Prof-specialty, Unmarried, Black, Female,0,1726,40, United-States, <=50K\n33, State-gov,79580, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n41, Local-gov,344624, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,1485,40, United-States, >50K\n37, Self-emp-inc,186359, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,60, United-States, >50K\n50, Private,121685, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n48, Private,75104, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n26, ?,188343, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Private,246449, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n21, Private,85088, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,37, United-States, <=50K\n37, Private,545483, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n20, State-gov,243986, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n54, Self-emp-not-inc,32778, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K\n28, Private,369114, HS-grad,9, Separated, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n27, Private,217200, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,149220, Assoc-voc,11, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, ?,162034, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n28, ?,157813, 11th,7, Divorced, ?, Unmarried, White, Female,0,0,58, Canada, <=50K\n17, ?,179715, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,335549, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,2444,45, United-States, >50K\n47, Private,102308, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,367749, 1st-4th,2, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, El-Salvador, <=50K\n25, Private,98281, 12th,8, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,43, United-States, <=50K\n35, Private,115792, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n29, Private,277788, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,25, United-States, <=50K\n30, Private,103435, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n30, Private,37646, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,385632, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Self-emp-not-inc,210278, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K\n28, Private,335357, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,272165, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Local-gov,148995, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K\n46, Self-emp-not-inc,113434, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, State-gov,132551, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K\n38, Federal-gov,115433, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,33, United-States, >50K\n29, Private,227890, HS-grad,9, Never-married, Protective-serv, Other-relative, Black, Male,0,0,40, United-States, <=50K\n25, Private,503012, 5th-6th,3, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n56, Private,250873, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n31, Private,407930, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,148187, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n31, Private,159322, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n28, Private,334368, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Private,196328, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K\n45, Private,270842, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n71, Private,235079, Preschool,1, Widowed, Craft-repair, Unmarried, Black, Male,0,0,10, United-States, <=50K\n65, ?,327154, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,188391, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K\n19, Federal-gov,30559, HS-grad,9, Married-AF-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n34, Local-gov,255098, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,248010, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n40, Private,174515, HS-grad,9, Married-spouse-absent, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n90, Private,171956, Some-college,10, Separated, Adm-clerical, Own-child, White, Female,0,0,40, Puerto-Rico, <=50K\n56, Private,193130, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,16, United-States, <=50K\n21, Private,108670, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,186172, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n45, Private,348854, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,27, United-States, <=50K\n46, Private,271828, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n64, Private,148606, 10th,6, Separated, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n29, Local-gov,123983, Masters,14, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K\n22, Private,24896, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,30, Germany, <=50K\n47, Private,573583, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, Italy, >50K\n67, Self-emp-inc,106175, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2392,75, United-States, >50K\n43, Private,307767, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,200574, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,59083, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,1672,50, United-States, <=50K\n53, Private,358056, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n81, Private,114670, 9th,5, Widowed, Priv-house-serv, Not-in-family, Black, Female,2062,0,5, United-States, <=50K\n33, Local-gov,262042, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,1138,40, United-States, <=50K\n17, Private,206010, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,8, United-States, <=50K\n55, Self-emp-inc,183869, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, ?, >50K\n28, Private,159001, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n24, Private,155818, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,96055, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n30, Local-gov,131776, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,228613, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,198163, Masters,14, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n38, Private,37028, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,38, United-States, <=50K\n30, Private,177304, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,144064, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,146659, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n63, Self-emp-not-inc,26904, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,98, United-States, <=50K\n23, Private,238917, 7th-8th,4, Never-married, Craft-repair, Other-relative, White, Male,0,0,36, United-States, <=50K\n56, Private,170148, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,27821, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n40, Private,220460, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Canada, <=50K\n49, Private,101320, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,0,1902,40, United-States, >50K\n35, Private,173858, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n52, Private,91048, HS-grad,9, Divorced, Machine-op-inspct, Own-child, Black, Female,0,0,35, United-States, <=50K\n28, Private,298696, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,207202, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K\n21, ?,230397, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,5, United-States, <=50K\n43, Self-emp-not-inc,180599, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n32, ?,199046, Assoc-voc,11, Never-married, ?, Unmarried, White, Female,0,0,2, United-States, <=50K\n29, Self-emp-not-inc,132686, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, Italy, >50K\n23, Private,240063, Bachelors,13, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,25, United-States, <=50K\n50, Local-gov,177705, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1740,48, United-States, <=50K\n34, Private,511361, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n19, Private,89397, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,239439, 11th,7, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,36989, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,76978, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,35, United-States, <=50K\n75, Private,200068, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n24, Private,454941, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, State-gov,107218, Bachelors,13, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K\n17, Local-gov,182070, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n31, Private,176360, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n31, Private,452405, Preschool,1, Never-married, Other-service, Other-relative, White, Female,0,0,35, Mexico, <=50K\n18, ?,297396, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,10, United-States, <=50K\n45, Private,84790, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n31, Private,186787, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,42, United-States, <=50K\n27, Private,169662, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K\n48, Private,125933, Some-college,10, Widowed, Exec-managerial, Unmarried, Black, Female,0,1669,38, United-States, <=50K\n22, ?,35448, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,22, United-States, <=50K\n34, Private,225548, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,30, United-States, <=50K\n26, Private,240842, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n53, Private,103931, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n60, Private,232618, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n49, Local-gov,288548, Masters,14, Separated, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n40, Private,220609, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-inc,26145, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K\n23, Private,268525, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n68, ?,133758, 7th-8th,4, Widowed, ?, Not-in-family, Black, Male,0,0,10, United-States, <=50K\n42, Private,121264, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, Self-emp-not-inc,29814, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,85, United-States, <=50K\n27, Private,193701, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,45, United-States, <=50K\n38, Private,183279, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K\n27, Private,163942, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, Ireland, <=50K\n75, Private,188612, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Self-emp-inc,102771, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K\n27, Private,85625, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K\n36, Self-emp-not-inc,245090, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, Mexico, <=50K\n36, Private,131239, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,45, United-States, >50K\n35, Private,182074, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n36, Private,187046, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,90624, 11th,7, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,37933, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n34, Private,182177, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,35, United-States, <=50K\n61, Private,716416, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, >50K\n29, Private,190562, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,56, United-States, <=50K\n40, State-gov,141583, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n37, Private,98941, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n22, Private,201729, 9th,5, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,30, United-States, <=50K\n43, Self-emp-inc,175485, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,149168, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n28, Private,115971, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,161708, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n64, Local-gov,244903, 11th,7, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n46, Private,155664, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,112754, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,178385, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,48, India, <=50K\n20, Private,44064, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,25, United-States, <=50K\n62, Self-emp-not-inc,120939, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,165134, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, White, Female,0,0,35, Columbia, <=50K\n29, Private,100405, 10th,6, Married-civ-spouse, Farming-fishing, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,361888, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Japan, <=50K\n39, Local-gov,167864, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n39, Private,202950, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n37, Private,218188, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Female,0,0,32, United-States, <=50K\n38, Private,234962, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2829,0,30, Mexico, <=50K\n72, ?,177226, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n31, Private,259931, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,189528, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n38, Private,34996, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,112584, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n25, Private,117589, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, ?,145234, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n37, Private,267086, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,52, United-States, <=50K\n49, Private,44434, Some-college,10, Divorced, Tech-support, Other-relative, White, Male,0,0,35, United-States, <=50K\n26, Private,96130, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n35, Private,181382, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K\n44, Self-emp-inc,168845, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,60, United-States, <=50K\n37, Private,271767, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n42, Private,194636, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n64, State-gov,194894, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,4787,0,40, United-States, >50K\n28, Private,132686, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n35, Self-emp-not-inc,185848, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,4650,0,50, United-States, <=50K\n40, State-gov,184378, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n55, Federal-gov,270859, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,231866, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,65, United-States, <=50K\n49, Private,36032, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n51, State-gov,172962, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,98350, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,1902,40, Philippines, >50K\n51, Private,24185, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,53930, 10th,6, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, ?, <=50K\n24, Private,85088, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,1762,32, United-States, <=50K\n45, Self-emp-not-inc,94962, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, England, <=50K\n28, Private,480861, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n42, Self-emp-inc,187702, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,60, United-States, >50K\n22, Private,52262, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, State-gov,52636, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n60, Private,175273, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,327825, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,2238,40, United-States, <=50K\n47, Private,125892, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,75, United-States, >50K\n40, ?,78255, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K\n30, Private,398827, HS-grad,9, Married-AF-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, <=50K\n61, Private,208919, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n71, Local-gov,365996, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,6, United-States, <=50K\n42, Private,307638, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n44, Local-gov,33068, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n46, Self-emp-not-inc,254291, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n50, Local-gov,125417, Prof-school,15, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,52, United-States, >50K\n27, State-gov,28848, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,9, United-States, <=50K\n40, ?,273425, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K\n21, Private,194723, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, Mexico, <=50K\n25, Private,195118, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,35, United-States, <=50K\n61, Private,123273, 5th-6th,3, Divorced, Transport-moving, Not-in-family, White, Male,0,1876,56, United-States, <=50K\n54, Private,220115, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n31, Private,265706, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Self-emp-not-inc,279129, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n39, Self-emp-inc,122742, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n57, Self-emp-inc,172654, Prof-school,15, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,50, United-States, >50K\n48, Private,119199, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,44, United-States, <=50K\n30, Private,107793, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,56, United-States, >50K\n35, Private,237943, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K\n42, Self-emp-not-inc,64632, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n34, Self-emp-not-inc,96245, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,361494, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n69, Local-gov,122850, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n29, Private,173652, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,164663, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,98678, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n40, Private,245529, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,55294, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,140583, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,79797, HS-grad,9, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Japan, >50K\n72, ?,113044, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n20, Private,283499, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K\n41, Local-gov,51111, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,232475, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n48, Private,176140, 11th,7, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n27, Private,301654, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,376455, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n28, ?,192569, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n27, Private,229803, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n20, Private,337639, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,130849, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n32, Private,296282, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,266645, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n23, State-gov,110128, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,90196, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n40, State-gov,40024, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n35, Private,144322, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n74, Self-emp-inc,162340, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n28, Private,169069, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,113601, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n20, Self-emp-not-inc,157145, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,2258,10, United-States, <=50K\n44, Private,111275, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,56, United-States, <=50K\n46, Local-gov,102076, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,25, United-States, <=50K\n20, ?,182117, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,145409, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n40, Private,190122, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,331482, Prof-school,15, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,40, United-States, >50K\n60, Self-emp-not-inc,170114, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1672,84, United-States, <=50K\n48, Self-emp-inc,193188, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n46, Local-gov,267588, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,70, United-States, <=50K\n48, Self-emp-inc,200471, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n22, ?,175586, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,35, United-States, <=50K\n24, Local-gov,322658, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, State-gov,263982, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, Private,266287, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n39, Private,278187, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n65, Self-emp-inc,81413, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2352,65, United-States, <=50K\n22, Private,221745, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,140764, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n28, Private,206351, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,176814, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n42, Local-gov,245307, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,48, United-States, >50K\n61, State-gov,124971, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n28, Private,119545, Some-college,10, Married-civ-spouse, Exec-managerial, Own-child, White, Male,7688,0,50, United-States, >50K\n18, Private,179203, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n24, Federal-gov,44075, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n45, Private,178319, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,56, United-States, >50K\n24, Private,219754, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,198316, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n20, Private,168165, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n35, Private,356838, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,2829,0,55, Poland, <=50K\n52, Self-emp-inc,210736, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,173212, Assoc-acdm,12, Never-married, Farming-fishing, Not-in-family, White, Male,2354,0,45, United-States, <=50K\n19, Private,130431, 5th-6th,3, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, Mexico, <=50K\n35, ?,169809, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n54, Private,197481, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n21, Private,155066, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,31290, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n42, Private,54102, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,181546, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n55, Private,153484, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n44, State-gov,351228, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,131976, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,55, United-States, <=50K\n26, Private,200639, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n64, Federal-gov,267546, Assoc-acdm,12, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n41, Private,179875, 11th,7, Divorced, Other-service, Unmarried, Other, Female,0,0,40, United-States, <=50K\n25, ?,237865, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,40, ?, <=50K\n43, Private,300528, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,67716, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,10520,0,48, United-States, >50K\n48, Federal-gov,326048, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K\n60, Private,191188, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,32172, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n51, Private,252903, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K\n37, Federal-gov,334314, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,83704, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n44, Private,160574, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, >50K\n27, Private,203776, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n47, Local-gov,328610, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,295589, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1977,40, United-States, >50K\n40, Private,174373, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n41, Private,247752, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n32, ?,199244, 10th,6, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,139992, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,95680, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n55, Self-emp-inc,189933, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n38, Private,498785, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n24, State-gov,177526, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K\n64, Self-emp-not-inc,150121, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, >50K\n56, Federal-gov,130454, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,119079, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,49, United-States, >50K\n33, Private,220939, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,45, United-States, >50K\n33, Private,94235, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,0,42, United-States, >50K\n21, Private,305874, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n59, Local-gov,62020, HS-grad,9, Widowed, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n58, Private,235624, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Germany, >50K\n43, Local-gov,247514, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n21, Private,275726, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n45, Private,72896, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Local-gov,110510, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n41, Private,173938, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, ?, >50K\n27, Private,200641, 10th,6, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, Mexico, <=50K\n53, Private,211654, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, ?, >50K\n38, Private,242720, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n31, Private,111567, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n41, Private,179533, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n22, State-gov,334693, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,198096, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n41, State-gov,355756, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,19395, Some-college,10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,35, United-States, <=50K\n41, Local-gov,242586, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,208358, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,99999,0,45, United-States, >50K\n49, Private,160647, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n20, Private,227943, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K\n58, Self-emp-not-inc,197665, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K\n35, Self-emp-not-inc,216129, 12th,8, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, Trinadad&Tobago, <=50K\n30, Local-gov,326104, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,57211, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,100219, Assoc-acdm,12, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,45, United-States, <=50K\n40, Private,291192, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, State-gov,93415, Bachelors,13, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, >50K\n35, Private,191502, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,261382, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,170230, Bachelors,13, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,40, ?, <=50K\n59, Private,374924, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n43, Self-emp-inc,320984, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,338320, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n51, Private,135190, 7th-8th,4, Separated, Machine-op-inspct, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n71, Private,157909, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,2964,0,60, United-States, <=50K\n33, Private,637222, 12th,8, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,430084, HS-grad,9, Divorced, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K\n30, Private,125279, HS-grad,9, Married-spouse-absent, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n20, Private,221955, 5th-6th,3, Married-spouse-absent, Farming-fishing, Other-relative, White, Male,0,0,40, Mexico, <=50K\n51, Self-emp-inc,180195, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,208778, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K\n62, Private,81534, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n37, Private,325538, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,60, ?, <=50K\n28, Private,142264, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, Dominican-Republic, <=50K\n23, Private,128604, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,48, South, <=50K\n39, Private,277886, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K\n50, Self-emp-inc,100029, Bachelors,13, Widowed, Sales, Unmarried, White, Male,0,0,65, United-States, >50K\n31, Private,169269, 7th-8th,4, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n45, Local-gov,160472, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n23, ?,123983, Bachelors,13, Never-married, ?, Own-child, Other, Male,0,0,40, United-States, <=50K\n47, Private,297884, 10th,6, Widowed, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Private,99131, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,18, United-States, <=50K\n32, Private,44392, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n82, ?,29441, 7th-8th,4, Widowed, ?, Not-in-family, White, Male,0,0,5, United-States, <=50K\n49, Private,199029, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,55, United-States, >50K\n74, Federal-gov,181508, HS-grad,9, Widowed, Other-service, Not-in-family, White, Male,0,0,17, United-States, <=50K\n22, Private,190625, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K\n32, Private,194740, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, Greece, <=50K\n34, Private,27380, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n59, Private,160631, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n36, Private,224531, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n59, Private,283005, 11th,7, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-inc,101926, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, >50K\n53, Local-gov,135102, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,2002,45, United-States, <=50K\n25, Self-emp-not-inc,113436, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K\n44, Private,248973, Bachelors,13, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,65, United-States, <=50K\n57, Self-emp-not-inc,225334, Prof-school,15, Married-civ-spouse, Sales, Wife, White, Female,15024,0,35, United-States, >50K\n42, Self-emp-not-inc,157562, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1902,80, United-States, >50K\n58, Local-gov,310085, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,129597, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,3464,0,40, United-States, <=50K\n32, ?,53042, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n45, Private,204205, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K\n47, Private,169324, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,35, United-States, >50K\n52, ?,134447, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n56, Self-emp-not-inc,236731, 1st-4th,2, Separated, Exec-managerial, Not-in-family, White, Male,0,0,25, ?, <=50K\n52, Private,141301, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,235124, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K\n36, Self-emp-not-inc,367020, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n41, Private,149102, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Poland, <=50K\n30, Private,423770, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, Mexico, <=50K\n44, Private,211759, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0,0,40, Puerto-Rico, <=50K\n17, ?,110998, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n34, Private,56883, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,223062, Some-college,10, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n29, Private,406662, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,206600, 9th,5, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,48, Mexico, <=50K\n42, Local-gov,147510, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n48, Private,235646, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,3103,0,40, United-States, >50K\n26, Private,187577, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n64, Self-emp-inc,132832, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,20051,0,40, ?, >50K\n46, Self-emp-inc,278322, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n38, Private,278924, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K\n49, State-gov,203039, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,145651, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n46, Local-gov,144531, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n30, Private,91145, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,55, United-States, <=50K\n49, Self-emp-not-inc,211762, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n47, ?,111563, Assoc-voc,11, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,180985, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, >50K\n31, Private,207537, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,1669,50, United-States, <=50K\n19, Private,417657, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n45, Private,189890, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,5455,0,38, United-States, <=50K\n34, Private,223212, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,40, Peru, >50K\n26, Private,108658, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,190023, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,222130, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K\n36, Self-emp-inc,164866, Assoc-acdm,12, Separated, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n31, Private,170983, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n30, Private,186269, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,286026, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,403433, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, >50K\n21, ?,224209, HS-grad,9, Married-civ-spouse, ?, Wife, Black, Female,0,0,30, United-States, <=50K\n73, Private,123160, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K\n38, Federal-gov,99527, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,123178, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n33, Private,231043, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n52, Local-gov,317733, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n58, Private,241056, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,46, United-States, <=50K\n34, Local-gov,220066, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n35, Private,180342, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Federal-gov,31840, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,183168, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,386036, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, <=50K\n31, Local-gov,446358, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, Mexico, >50K\n45, Private,28035, Some-college,10, Never-married, Farming-fishing, Other-relative, White, Male,0,0,50, United-States, <=50K\n40, Private,282155, HS-grad,9, Separated, Other-service, Other-relative, White, Female,0,0,25, United-States, <=50K\n27, Private,192384, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,383637, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n29, Private,457402, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,25, Mexico, <=50K\n34, Self-emp-inc,80249, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K\n32, State-gov,159537, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,240859, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Cuba, <=50K\n33, Private,83446, 11th,7, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K\n74, ?,29866, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K\n62, Private,185503, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n39, Self-emp-not-inc,68781, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,220589, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,51136, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,60, United-States, <=50K\n24, Private,54560, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n76, ?,28221, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Canada, >50K\n25, Private,201413, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n19, Private,40425, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,28, United-States, <=50K\n31, Private,189461, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,41, United-States, <=50K\n53, Private,200576, 11th,7, Divorced, Craft-repair, Other-relative, White, Female,0,0,40, United-States, <=50K\n61, Private,92691, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,3, United-States, <=50K\n47, Private,664821, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, El-Salvador, <=50K\n37, Private,175130, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n50, Self-emp-not-inc,391016, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K\n27, Private,249315, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,44, United-States, <=50K\n58, Private,111169, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,334946, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n39, Private,352248, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,173804, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n56, Private,155449, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,73689, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n23, Private,227594, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,38, United-States, <=50K\n47, Private,161676, 11th,7, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n68, Private,75913, 12th,8, Widowed, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n47, Local-gov,242552, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n45, Federal-gov,352094, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,7688,0,40, Guatemala, >50K\n26, Private,159732, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n20, Private,131230, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,1590,40, United-States, <=50K\n46, Private,180695, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Private,189922, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,409189, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n43, Private,111252, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,42, United-States, <=50K\n59, Private,294395, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,172718, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,43403, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Female,0,1590,54, United-States, <=50K\n63, Private,111963, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,16, United-States, <=50K\n45, Private,247869, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n59, Private,114032, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, ?,356838, 12th,8, Never-married, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K\n26, Private,179633, HS-grad,9, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K\n34, Private,19847, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,231689, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,209942, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n53, Private,197492, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,262439, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n46, Private,283037, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n79, ?,144533, HS-grad,9, Widowed, ?, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n31, Private,83446, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,215443, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Local-gov,268252, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,62, United-States, <=50K\n40, Private,181015, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,47, United-States, <=50K\n41, Self-emp-inc,139916, Assoc-voc,11, Married-civ-spouse, Sales, Husband, Other, Male,0,2179,84, Mexico, <=50K\n20, Private,195770, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,26, United-States, <=50K\n45, Private,125194, 11th,7, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n27, Private,58654, Assoc-voc,11, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,252327, 5th-6th,3, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K\n30, Private,116508, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, <=50K\n36, Private,166988, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n25, Private,374163, HS-grad,9, Married-spouse-absent, Farming-fishing, Not-in-family, Other, Male,0,0,40, Mexico, <=50K\n30, ?,96851, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,1719,25, United-States, <=50K\n31, Private,196788, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n49, Private,186172, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,45, United-States, >50K\n26, Private,245628, 11th,7, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,20, United-States, <=50K\n25, Private,159732, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,129856, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Private,182812, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,3325,0,52, Dominican-Republic, <=50K\n41, Private,314322, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,102976, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n57, Self-emp-inc,42959, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n21, Private,256356, 11th,7, Never-married, Priv-house-serv, Other-relative, White, Female,0,0,40, Mexico, <=50K\n29, Private,136277, 10th,6, Never-married, Other-service, Own-child, Black, Female,0,0,32, United-States, <=50K\n36, Private,284616, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,185554, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n51, Private,138847, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,33487, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,84306, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,50, United-States, <=50K\n40, Self-emp-not-inc,223881, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,70, United-States, >50K\n61, Private,149653, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,348739, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n20, ?,235442, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K\n21, Private,34506, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n40, Private,346964, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,192208, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n21, Private,305874, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,54, United-States, <=50K\n35, Self-emp-not-inc,462890, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, <=50K\n39, Private,89508, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,200153, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n30, Private,179446, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,208965, 9th,5, Never-married, Machine-op-inspct, Unmarried, Other, Male,0,0,40, Mexico, <=50K\n32, Private,40142, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n46, Self-emp-not-inc,57452, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,327573, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,151267, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,15024,0,40, United-States, >50K\n44, Private,265266, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,203836, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3464,0,40, Columbia, <=50K\n51, ?,163998, HS-grad,9, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,20, United-States, >50K\n46, Self-emp-not-inc,28281, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n51, Private,293196, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, Iran, >50K\n45, Private,214627, Doctorate,16, Widowed, Prof-specialty, Unmarried, White, Male,15020,0,40, Iran, >50K\n20, Private,368852, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n44, Private,353396, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n33, Private,161745, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n18, Private,97963, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n61, Self-emp-inc,156542, Prof-school,15, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n50, State-gov,198103, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Federal-gov,55377, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K\n34, Private,173730, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n53, Private,374588, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,60, United-States, <=50K\n39, Self-emp-not-inc,174330, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,78141, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n66, ?,190324, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,18, United-States, <=50K\n26, Private,31350, 11th,7, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n41, Private,243607, 5th-6th,3, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K\n47, Local-gov,134671, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,197023, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n52, Private,117674, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,169815, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n43, Private,598606, 9th,5, Separated, Handlers-cleaners, Unmarried, Black, Female,0,0,50, United-States, <=50K\n42, Federal-gov,122861, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,166235, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n41, Private,187821, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2885,0,40, United-States, <=50K\n34, Private,340940, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,60, United-States, >50K\n52, Self-emp-not-inc,194791, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,231323, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,305597, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n19, Private,25429, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n46, State-gov,192779, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n39, Private,346478, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n22, Private,341368, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, State-gov,295612, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,168936, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K\n43, Private,218558, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n37, Private,336598, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,36, Mexico, <=50K\n23, Private,308205, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n39, Local-gov,357173, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,59, United-States, <=50K\n54, Private,457237, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-inc,284799, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n20, Private,179423, Some-college,10, Never-married, Transport-moving, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,363405, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,50, United-States, >50K\n17, Private,139183, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n36, Private,203482, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,112554, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n53, Private,99476, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n50, Private,93690, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,220585, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n63, Self-emp-not-inc,194638, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K\n53, Private,154785, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n40, ?,162108, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,50, United-States, <=50K\n23, Self-emp-inc,214542, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n20, Private,161922, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,43, United-States, <=50K\n46, Private,207940, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n28, Private,259351, 10th,6, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K\n59, Private,208395, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n41, Private,116391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,239781, Preschool,1, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n56, Private,174351, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K\n50, Self-emp-not-inc,44368, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,55, El-Salvador, >50K\n31, Local-gov,188798, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n41, Private,50122, Assoc-voc,11, Divorced, Sales, Own-child, White, Male,0,0,50, United-States, <=50K\n38, Private,111398, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, United-States, >50K\n25, State-gov,152035, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n18, ?,139003, HS-grad,9, Never-married, ?, Other-relative, Other, Female,0,0,12, United-States, <=50K\n49, Local-gov,249289, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n39, Private,257726, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n22, ?,113175, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n21, Private,151158, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K\n35, Private,465326, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n21, ?,356772, HS-grad,9, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,364782, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,198385, 7th-8th,4, Widowed, Other-service, Unmarried, White, Female,0,0,20, ?, <=50K\n31, Private,329301, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K\n17, Self-emp-inc,254859, 11th,7, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n31, Private,203488, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,50, United-States, >50K\n25, Local-gov,222800, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,96452, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n50, Private,170050, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,116580, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K\n50, Private,400004, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n63, Private,183608, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,194055, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,210443, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n18, Private,43272, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n43, Local-gov,108945, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,48, United-States, <=50K\n34, Private,114691, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n18, Private,304169, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n46, Private,503923, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,4386,0,40, United-States, >50K\n35, Private,340428, Bachelors,13, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, >50K\n46, State-gov,106705, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n59, Private,146391, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, United-States, >50K\n31, Private,235389, 7th-8th,4, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,30, Portugal, <=50K\n27, Private,39665, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,37, United-States, <=50K\n41, Private,113823, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, England, <=50K\n42, Private,217826, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, ?, <=50K\n55, Private,349304, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n34, ?,197688, HS-grad,9, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n44, Private,54507, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,117833, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,1669,50, United-States, <=50K\n36, Private,163396, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n69, Private,88566, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,1424,0,35, United-States, <=50K\n33, Private,323619, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,75755, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,148903, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,16, United-States, >50K\n25, Private,40915, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n21, Private,182606, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, ?, <=50K\n18, Private,131033, 11th,7, Never-married, Other-service, Other-relative, Black, Male,0,0,15, United-States, <=50K\n35, Self-emp-not-inc,168475, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n20, Private,121568, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,139098, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,40, United-States, <=50K\n46, Private,357338, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,283268, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K\n40, Private,572751, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, Mexico, >50K\n40, Private,315321, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,625,52, United-States, <=50K\n31, Private,120461, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,65278, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n23, Self-emp-not-inc,208503, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Local-gov,112835, Masters,14, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,265038, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n18, Private,89478, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n55, Private,276229, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K\n52, Private,366232, 9th,5, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, Cuba, <=50K\n26, Private,152035, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Private,205339, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, >50K\n39, Private,75995, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n62, Self-emp-not-inc,192236, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n19, ?,188618, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n47, Private,229737, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n51, Local-gov,199688, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,52953, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,221043, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n59, Federal-gov,115389, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K\n45, Self-emp-not-inc,204205, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K\n52, Private,338816, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K\n21, Private,197387, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n31, Private,42485, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K\n29, Private,367706, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n24, Private,102493, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,263746, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K\n47, Private,115358, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n46, Private,189680, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n32, ?,282622, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,28, United-States, <=50K\n34, Private,127651, 10th,6, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,44, ?, <=50K\n63, Private,230823, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Cuba, <=50K\n21, Private,300812, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n18, Private,174732, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,36, United-States, <=50K\n49, State-gov,183710, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n81, Self-emp-not-inc,137018, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n36, Self-emp-inc,213008, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,357848, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,165799, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n39, Self-emp-not-inc,188571, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n46, Private,97883, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n43, Local-gov,105862, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1902,40, United-States, >50K\n39, Local-gov,57424, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n29, Private,151476, Some-college,10, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,129583, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,16, United-States, <=50K\n57, Private,180920, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K\n38, Self-emp-not-inc,182416, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,42, United-States, <=50K\n25, Private,251915, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Local-gov,187127, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,69045, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K\n56, Private,192869, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,44, United-States, >50K\n39, Private,74163, 12th,8, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,60847, Assoc-voc,11, Never-married, Sales, Unmarried, White, Female,0,0,60, United-States, <=50K\n17, ?,213055, 11th,7, Never-married, ?, Not-in-family, Other, Female,0,0,20, United-States, <=50K\n67, Self-emp-not-inc,116057, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,3273,0,16, United-States, <=50K\n41, Private,82393, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,50, United-States, <=50K\n24, Local-gov,134181, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,50, United-States, <=50K\n51, Private,159910, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Male,10520,0,40, United-States, >50K\n30, Self-emp-inc,117570, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K\n47, Self-emp-inc,214169, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024,0,40, United-States, >50K\n56, Private,56331, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,32, United-States, <=50K\n51, Private,35576, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K\n57, Self-emp-not-inc,149168, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n34, Private,157165, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,278130, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,257200, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,283122, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,580248, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,230054, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n58, Private,519006, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K\n19, ?,37332, HS-grad,9, Never-married, ?, Own-child, White, Female,1055,0,12, United-States, <=50K\n19, ?,365871, 7th-8th,4, Never-married, ?, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n68, State-gov,235882, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2377,60, United-States, >50K\n43, Private,336513, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K\n17, Private,115551, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n53, State-gov,50048, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n37, Self-emp-inc,382802, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,99, United-States, >50K\n21, ?,180303, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,25, ?, <=50K\n63, Private,106023, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,332379, Some-college,10, Married-spouse-absent, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K\n29, Private,95465, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,96102, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,40, United-States, >50K\n27, Private,36440, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,65, United-States, >50K\n25, Self-emp-not-inc,209384, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,32, United-States, <=50K\n28, Private,50814, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,143865, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n74, ?,104661, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K\n31, Local-gov,50442, Some-college,10, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female,0,0,32, United-States, <=50K\n23, Private,236601, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,48, United-States, <=50K\n19, Private,100999, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K\n39, ?,362685, Preschool,1, Widowed, ?, Not-in-family, White, Female,0,0,20, El-Salvador, <=50K\n61, Self-emp-not-inc,32423, HS-grad,9, Married-civ-spouse, Farming-fishing, Wife, White, Female,22040,0,40, United-States, <=50K\n59, ?,154236, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,7688,0,40, United-States, >50K\n27, Self-emp-inc,153546, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,0,0,36, United-States, >50K\n19, Private,182355, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K\n23, ?,191444, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Local-gov,44216, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K\n40, Private,97688, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, >50K\n53, Private,209022, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K\n32, Private,96016, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n72, Self-emp-not-inc,52138, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2392,25, United-States, >50K\n61, Private,159046, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,138634, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,130125, 10th,6, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female,1055,0,20, United-States, <=50K\n73, Private,247355, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, Canada, <=50K\n41, Self-emp-not-inc,227065, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,244771, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,20, Jamaica, <=50K\n23, Private,215616, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Canada, <=50K\n65, Private,386672, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,15, United-States, <=50K\n45, Self-emp-inc,177543, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K\n52, Federal-gov,617021, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Black, Male,7688,0,40, United-States, >50K\n24, Local-gov,117109, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,27, United-States, <=50K\n23, Private,373550, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,19847, Some-college,10, Divorced, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,189590, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,58343, HS-grad,9, Divorced, Farming-fishing, Unmarried, White, Male,0,0,56, United-States, <=50K\n17, Private,354201, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,119422, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,363405, HS-grad,9, Separated, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n63, Private,181863, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,27, United-States, <=50K\n27, Private,194472, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,60, United-States, <=50K\n31, Private,247328, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,40, Mexico, <=50K\n71, Self-emp-not-inc,130731, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n35, Private,236910, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n44, Private,378251, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, <=50K\n36, Private,120760, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n22, Private,203182, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Female,0,0,20, United-States, <=50K\n32, Private,130304, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1485,48, United-States, <=50K\n30, Local-gov,352542, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, ?,191024, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,197728, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n76, Private,316185, 7th-8th,4, Widowed, Protective-serv, Not-in-family, White, Female,0,0,12, United-States, <=50K\n41, Private,89226, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,292353, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, United-States, <=50K\n45, Private,304570, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n32, Private,180296, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,361487, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,218490, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1848,40, United-States, >50K\n63, Self-emp-not-inc,231777, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,189832, Assoc-acdm,12, Never-married, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K\n61, Private,232308, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, State-gov,33308, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,333677, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n33, Private,170651, HS-grad,9, Never-married, Other-service, Own-child, White, Female,1055,0,40, United-States, <=50K\n39, Private,343403, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,36, United-States, <=50K\n53, Private,166386, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,40, China, <=50K\n26, Federal-gov,48099, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,143062, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,32, United-States, <=50K\n18, Private,104704, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n34, Private,30497, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n44, State-gov,174325, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7688,0,40, United-States, >50K\n31, Private,286675, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n44, Private,59474, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,378384, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,60, United-States, >50K\n43, Private,245842, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, Mexico, <=50K\n33, Private,274222, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,7688,0,38, United-States, >50K\n21, Private,342575, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,30, United-States, <=50K\n30, Private,206051, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,234213, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n57, Private,145189, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,233490, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Private,344129, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n62, Self-emp-not-inc,171315, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n31, Self-emp-not-inc,181485, Bachelors,13, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, >50K\n51, Private,255412, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, France, >50K\n37, Private,262409, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,213,45, United-States, <=50K\n45, Private,199590, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, Mexico, <=50K\n47, Private,84726, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, ?,226883, HS-grad,9, Divorced, ?, Own-child, White, Male,0,0,75, United-States, <=50K\n75, Self-emp-not-inc,184335, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K\n43, Private,102025, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,50, United-States, <=50K\n39, Private,183898, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,60, Germany, >50K\n30, Private,55291, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,150025, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Guatemala, <=50K\n44, Private,100584, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n53, Local-gov,181755, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, >50K\n40, Private,150528, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,107277, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n33, Private,247205, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, England, <=50K\n20, Private,291979, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,270985, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, <=50K\n48, Private,62605, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n46, Self-emp-not-inc,176863, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,53197, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,267776, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K\n24, Private,308205, 7th-8th,4, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K\n30, Private,306383, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n70, Private,35494, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K\n26, Private,291968, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K\n34, Private,80933, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,40, United-States, <=50K\n46, Private,271828, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n70, Private,121993, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,5, United-States, <=50K\n37, Local-gov,31023, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,36425, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n23, Private,407684, 9th,5, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, Mexico, <=50K\n28, Private,241895, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1628,40, United-States, <=50K\n44, Self-emp-not-inc,158555, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n58, Private,140363, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,3325,0,30, United-States, <=50K\n53, Private,123429, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,40060, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,290286, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n21, ?,249271, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,106169, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n43, Private,76487, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,437994, Some-college,10, Never-married, Other-service, Other-relative, Black, Male,0,0,20, United-States, <=50K\n41, Private,113555, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,7298,0,50, United-States, >50K\n36, Private,160120, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n41, Local-gov,343079, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1740,20, United-States, <=50K\n27, Private,406662, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,4416,0,40, United-States, <=50K\n42, Self-emp-not-inc,37618, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n27, Private,114158, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n41, Private,115562, HS-grad,9, Divorced, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,353994, Bachelors,13, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,40, China, >50K\n21, Private,344891, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K\n44, Private,286750, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, >50K\n29, Private,194197, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Self-emp-not-inc,206599, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,22, United-States, <=50K\n21, Local-gov,596776, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, Guatemala, <=50K\n46, Private,56841, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,112561, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n43, Private,147110, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,48, United-States, >50K\n54, Self-emp-inc,175339, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n38, Private,234901, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K\n18, ?,298133, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,217083, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n30, Private,97757, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, >50K\n30, Private,151868, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Local-gov,25864, HS-grad,9, Never-married, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K\n26, Private,109419, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n37, Federal-gov,203070, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K\n32, Private,107843, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,50, United-States, >50K\n64, State-gov,264544, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,5, United-States, >50K\n18, Private,148644, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,28, United-States, <=50K\n30, Private,125762, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, United-States, <=50K\n36, ?,53606, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,3908,0,8, United-States, <=50K\n18, Private,193741, 11th,7, Never-married, Other-service, Other-relative, Black, Male,0,0,30, United-States, <=50K\n27, Private,588905, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,115613, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n46, State-gov,222374, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,43, United-States, >50K\n37, Private,185359, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,173647, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,31166, HS-grad,9, Divorced, Prof-specialty, Not-in-family, Other, Female,0,0,30, Germany, <=50K\n22, ?,517995, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, Mexico, <=50K\n25, Self-emp-not-inc,189027, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n38, Private,296125, HS-grad,9, Separated, Priv-house-serv, Unmarried, Black, Female,0,0,30, United-States, <=50K\n32, ?,640383, Bachelors,13, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,334291, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n56, Private,318450, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,80, United-States, >50K\n29, Private,174163, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,119721, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,142719, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,162593, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,236852, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n28, Local-gov,154863, HS-grad,9, Never-married, Protective-serv, Other-relative, Black, Male,0,1876,40, United-States, <=50K\n39, Private,168894, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n42, Self-emp-not-inc,344920, Some-college,10, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,50, United-States, <=50K\n39, Private,33355, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,48, United-States, >50K\n68, ?,196782, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n37, Self-emp-inc,291518, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,55, United-States, >50K\n57, Private,170244, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,369549, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n24, Private,23438, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, >50K\n19, Private,202673, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n55, Private,171780, Assoc-acdm,12, Divorced, Sales, Unmarried, Black, Female,0,0,30, United-States, <=50K\n37, Local-gov,264503, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,244341, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,209109, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,187392, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, State-gov,119578, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K\n51, Private,195105, HS-grad,9, Divorced, Priv-house-serv, Own-child, White, Female,0,0,40, United-States, <=50K\n52, Private,101752, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,56, United-States, <=50K\n74, ?,95825, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,3, United-States, <=50K\n49, Self-emp-inc,362654, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n20, ?,29810, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Federal-gov,77332, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n80, Private,87518, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,1816,60, United-States, <=50K\n63, Private,113324, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n63, Private,96299, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,45, United-States, >50K\n51, Private,237729, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,200973, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,212456, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K\n33, Self-emp-not-inc,131568, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,66, United-States, <=50K\n49, Private,185859, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K\n20, Private,231981, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,32, United-States, <=50K\n33, Self-emp-inc,117963, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,60, United-States, >50K\n26, Private,78172, Some-college,10, Married-AF-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,164135, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,171216, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n47, Private,140664, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n23, Private,249277, HS-grad,9, Never-married, Exec-managerial, Own-child, Black, Male,0,0,75, United-States, <=50K\n53, Federal-gov,117847, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,52372, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n26, Federal-gov,95806, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n53, Private,137428, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n65, Private,169047, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,10, United-States, <=50K\n68, Private,339168, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n30, Private,504725, 10th,6, Never-married, Sales, Other-relative, White, Male,0,0,18, Guatemala, <=50K\n28, Private,132870, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n54, Local-gov,135840, 10th,6, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, <=50K\n30, Private,35644, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n22, Private,198148, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K\n25, Private,220098, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n19, Private,262515, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,20, United-States, <=50K\n19, ?,423863, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n32, Federal-gov,111567, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,194096, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Local-gov,420917, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,197871, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, >50K\n46, Local-gov,253116, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n38, Private,206535, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,50, United-States, <=50K\n26, State-gov,70447, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n46, Private,201217, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,209970, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,196745, Some-college,10, Never-married, Other-service, Own-child, White, Female,594,0,16, United-States, <=50K\n29, Local-gov,175262, Masters,14, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0,0,35, United-States, <=50K\n51, Self-emp-inc,304955, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n40, Private,181265, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K\n24, Private,200973, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Self-emp-not-inc,37440, Bachelors,13, Never-married, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K\n31, Private,395170, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0,0,24, Mexico, <=50K\n54, ?,32385, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n34, Private,353213, Assoc-acdm,12, Separated, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n19, Private,38619, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,66, United-States, <=50K\n21, Private,177711, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n21, Private,190761, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n23, Private,27776, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,24, United-States, <=50K\n37, Federal-gov,470663, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,71738, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,46, United-States, >50K\n57, Private,74156, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n48, Private,202467, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1485,40, United-States, >50K\n24, Private,123983, 11th,7, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n43, Private,193494, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n32, ?,169886, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,20, ?, <=50K\n40, Private,130571, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, Self-emp-inc,90363, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,35, United-States, >50K\n49, Private,83444, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,239093, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,3137,0,40, United-States, <=50K\n62, Local-gov,151369, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,56630, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,117095, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Federal-gov,189985, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n20, ?,34862, Some-college,10, Never-married, ?, Own-child, Amer-Indian-Eskimo, Male,0,0,72, United-States, <=50K\n37, Self-emp-inc,126675, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n43, State-gov,199806, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,57596, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,103459, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n28, Private,282398, Some-college,10, Separated, Tech-support, Unmarried, White, Male,0,0,40, United-States, >50K\n38, Private,298841, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n45, Private,33300, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K\n22, ?,306031, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,306467, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n20, Private,189888, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Private,83861, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,117393, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,129934, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n51, Private,179010, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n31, Private,375680, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,40, ?, <=50K\n48, Private,316101, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,293305, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K\n51, Local-gov,175750, HS-grad,9, Divorced, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K\n41, Private,121718, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,1848,48, United-States, >50K\n62, ?,94931, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,3411,0,40, United-States, <=50K\n50, State-gov,229272, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n46, Private,142828, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n54, Private,22743, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,60, United-States, >50K\n68, Private,76371, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, >50K\n23, Self-emp-not-inc,216129, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n49, Private,107425, Masters,14, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n24, Private,611029, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n30, Local-gov,363032, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K\n38, Private,170020, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,45, United-States, <=50K\n34, Private,137900, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n22, Private,322674, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,23778, 7th-8th,4, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Private,147845, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,31, United-States, <=50K\n36, Private,175759, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-inc,166459, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,128212, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,40, Vietnam, >50K\n54, Federal-gov,127455, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, >50K\n63, Private,134699, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K\n51, Private,254230, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n63, Self-emp-not-inc,159715, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,116286, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n27, Private,146719, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n35, Private,361888, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n31, ?,26553, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, >50K\n46, Self-emp-not-inc,32825, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n53, Private,225768, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n26, Federal-gov,393728, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,24, United-States, <=50K\n43, Private,160369, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,191807, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n50, Federal-gov,176969, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,1590,40, United-States, <=50K\n54, Federal-gov,33863, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n62, ?,182687, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,45, United-States, >50K\n57, State-gov,141459, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, ?,174233, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,24, United-States, <=50K\n29, Local-gov,95393, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n20, Private,221095, HS-grad,9, Never-married, Craft-repair, Other-relative, Black, Male,0,0,40, United-States, <=50K\n53, Private,104501, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,55, United-States, >50K\n18, ?,437851, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n22, ?,131230, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,495888, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, El-Salvador, <=50K\n69, Private,185691, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,20, United-States, <=50K\n56, Private,201822, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2002,40, United-States, <=50K\n53, Local-gov,549341, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,35, United-States, <=50K\n28, Private,247445, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,199566, Bachelors,13, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Self-emp-inc,139057, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,84, Taiwan, >50K\n48, Private,185039, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n61, Private,166124, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,82649, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,45, United-States, <=50K\n48, Private,109275, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,408328, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,186338, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n27, ?,130856, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,251579, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,14, United-States, <=50K\n47, Private,76612, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,22546, Bachelors,13, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K\n72, Private,53684, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Private,183627, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,73203, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n57, Private,108426, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,48, England, <=50K\n50, Private,116287, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, Columbia, <=50K\n45, Self-emp-inc,145697, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n52, Private,326156, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n53, Private,201127, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n36, Private,250791, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, <=50K\n46, Private,328216, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,400443, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n75, Private,95985, 5th-6th,3, Widowed, Other-service, Unmarried, Black, Male,0,0,10, United-States, <=50K\n32, Local-gov,127651, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,250679, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,103950, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,200199, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n46, State-gov,295791, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n39, Private,191841, Assoc-acdm,12, Separated, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n38, Private,82622, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Private,160728, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K\n63, Local-gov,109849, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,21, United-States, <=50K\n28, Private,339897, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, Mexico, <=50K\n28, ?,37215, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,45, United-States, <=50K\n49, Private,371299, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n43, Private,421837, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n38, Private,29702, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n39, Private,117381, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,62, England, <=50K\n42, ?,240027, HS-grad,9, Divorced, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n40, Private,338740, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n45, ?,28359, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,10, United-States, <=50K\n29, ?,315026, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Federal-gov,314525, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1741,45, United-States, <=50K\n30, Private,173005, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n44, Private,286750, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Private,163985, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, <=50K\n30, Private,219318, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,35, Puerto-Rico, <=50K\n42, Private,44121, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,1876,40, United-States, <=50K\n52, Self-emp-not-inc,103794, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n42, Private,310632, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n39, Private,153976, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K\n43, Private,174575, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Male,0,0,45, United-States, <=50K\n62, Self-emp-not-inc,82388, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,10566,0,40, United-States, <=50K\n30, Private,207253, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, England, <=50K\n83, ?,251951, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n39, Private,746786, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n41, Private,308296, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,20, United-States, <=50K\n49, Private,101825, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,40, United-States, >50K\n25, Private,109009, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,413363, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2002,40, United-States, <=50K\n59, ?,117751, Assoc-acdm,12, Divorced, ?, Not-in-family, White, Male,0,0,8, United-States, <=50K\n44, State-gov,296326, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,208358, 9th,5, Divorced, Handlers-cleaners, Not-in-family, White, Male,4650,0,56, United-States, <=50K\n40, Private,120277, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Ireland, <=50K\n21, Private,193219, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,35, Jamaica, <=50K\n41, Private,86399, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n24, Private,215251, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n67, Self-emp-not-inc,124470, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n24, Private,228649, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, United-States, <=50K\n50, Self-emp-not-inc,386397, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n48, Private,96798, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K\n55, ?,106707, Assoc-acdm,12, Married-civ-spouse, ?, Husband, Black, Male,0,0,20, United-States, >50K\n29, Private,159768, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,3325,0,40, Ecuador, <=50K\n50, Private,139464, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,36, Ireland, <=50K\n64, State-gov,550848, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,68505, 9th,5, Divorced, Other-service, Not-in-family, Black, Male,0,0,37, United-States, <=50K\n20, Private,122215, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,52, United-States, <=50K\n30, Private,159442, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,80638, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,30, China, <=50K\n52, Private,192390, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,191324, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,25, United-States, <=50K\n77, ?,147284, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,14, United-States, <=50K\n19, State-gov,73009, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K\n52, Private,177858, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,55, United-States, >50K\n42, Private,163003, Bachelors,13, Married-spouse-absent, Tech-support, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n35, Private,95551, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Female,0,0,36, United-States, <=50K\n27, Private,125298, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n54, State-gov,198186, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n37, Private,295949, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1628,40, United-States, <=50K\n37, Private,182668, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n28, Private,124905, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n63, Private,171635, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,376240, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,42, United-States, <=50K\n28, Private,157391, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n23, ?,114357, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,178134, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n31, Private,207201, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,124483, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,50, ?, >50K\n64, Private,102103, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,50, United-States, <=50K\n40, Private,92036, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n59, Local-gov,236426, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n22, Private,400966, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,404573, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,44, United-States, <=50K\n35, Private,227571, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n20, Private,145917, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n35, Local-gov,190226, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,356555, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n28, Private,66473, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n37, ?,172256, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n72, ?,118902, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,2392,6, United-States, >50K\n25, Self-emp-inc,163039, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n37, Private,89559, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, ?,35507, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,45, United-States, <=50K\n31, Private,163303, Assoc-voc,11, Divorced, Sales, Own-child, White, Female,0,0,38, United-States, <=50K\n41, Private,192712, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n31, Private,381153, 10th,6, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,222434, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,34706, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,47, United-States, <=50K\n57, Self-emp-not-inc,47857, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,195216, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K\n44, Self-emp-inc,103643, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,60, Greece, <=50K\n29, Local-gov,329426, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,183612, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K\n40, Private,184105, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,211385, Assoc-acdm,12, Never-married, Other-service, Not-in-family, Black, Male,0,0,35, Jamaica, <=50K\n21, Private,61777, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,70, United-States, <=50K\n34, Self-emp-not-inc,320194, Prof-school,15, Separated, Prof-specialty, Unmarried, White, Male,0,0,48, United-States, >50K\n24, Private,199444, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,15, United-States, <=50K\n28, Private,312588, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,168675, HS-grad,9, Separated, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K\n35, Private,87556, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, State-gov,220421, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Federal-gov,404599, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n39, Private,99065, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, Poland, >50K\n57, Local-gov,109973, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,246652, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,57423, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n23, Private,291248, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,40, United-States, <=50K\n50, Private,163708, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,240358, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n28, Private,25955, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n44, Private,101593, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n29, Self-emp-not-inc,227890, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n31, Private,225053, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n27, Private,228472, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n34, Private,245378, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n50, Self-emp-inc,156623, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7688,0,50, Philippines, >50K\n27, Private,35032, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,258849, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,190115, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,63910, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n40, Private,510072, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n28, Private,210867, 11th,7, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,263024, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Private,306785, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Self-emp-inc,104333, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n66, Private,340734, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,288585, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,20, South, <=50K\n38, Private,241765, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,60, United-States, <=50K\n25, Private,111058, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,104662, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,22, United-States, <=50K\n90, Private,313986, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,52037, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, ?,146589, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,131776, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,914,0,40, Germany, <=50K\n33, Private,254221, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,152909, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,45, United-States, >50K\n39, Self-emp-not-inc,211785, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Female,0,0,20, United-States, <=50K\n59, Private,160362, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n19, Private,387215, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,1719,16, United-States, <=50K\n39, Private,187046, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4064,0,38, United-States, <=50K\n19, ?,208874, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,169631, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n52, Private,202956, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,80467, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n28, Private,407672, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,243425, HS-grad,9, Divorced, Other-service, Other-relative, White, Female,0,0,50, Peru, <=50K\n50, ?,174964, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,99, United-States, <=50K\n36, Private,347491, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,146161, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,449432, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n19, ?,175499, 11th,7, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n33, Private,288825, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,2258,84, United-States, <=50K\n27, Local-gov,134813, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,52, United-States, <=50K\n31, Local-gov,190401, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,260617, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,36, United-States, <=50K\n31, Private,45604, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,54, United-States, <=50K\n59, Private,67841, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n40, Local-gov,244522, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,48, United-States, >50K\n19, Private,430471, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,194698, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,94235, Bachelors,13, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n57, Private,188330, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,78, United-States, <=50K\n51, Local-gov,146181, 9th,5, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n21, Private,177125, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,20, United-States, <=50K\n30, Self-emp-inc,68330, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,95636, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K\n40, Private,238329, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K\n52, Private,416129, Preschool,1, Married-civ-spouse, Other-service, Not-in-family, White, Male,0,0,40, El-Salvador, <=50K\n23, Private,285004, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,50, Taiwan, <=50K\n90, ?,256514, Bachelors,13, Widowed, ?, Other-relative, White, Female,991,0,10, United-States, <=50K\n25, Private,186294, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n43, Private,188786, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n38, State-gov,31352, Some-college,10, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, >50K\n22, Private,197613, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n33, Local-gov,161942, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,1055,0,40, United-States, <=50K\n34, Private,275438, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K\n65, Private,361721, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n50, Private,144968, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,15, United-States, <=50K\n29, Private,190539, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,6849,0,48, United-States, <=50K\n25, Private,178037, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,306985, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Private,87928, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,242619, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,154165, 9th,5, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,511331, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K\n65, Local-gov,221026, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n56, Self-emp-not-inc,222182, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, <=50K\n39, Self-emp-not-inc,126569, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K\n23, Private,202344, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,190423, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n24, Private,238917, 5th-6th,3, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, El-Salvador, <=50K\n41, Private,221947, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K\n40, Self-emp-inc,37997, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n55, Private,147098, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n38, Private,278253, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K\n23, Private,195411, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n44, Private,76196, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n45, Private,120131, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K\n20, Self-emp-not-inc,186014, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, Germany, <=50K\n29, Private,205903, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n43, State-gov,125405, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,219838, 12th,8, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, State-gov,19395, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n31, Private,223327, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,114062, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,95654, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, Iran, >50K\n38, Private,177305, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n66, ?,299616, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n63, Self-emp-not-inc,117681, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,237651, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n33, State-gov,150570, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, State-gov,106705, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,1506,0,50, United-States, <=50K\n20, ?,174714, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n47, Self-emp-inc,175958, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,3325,0,60, United-States, <=50K\n33, Private,144064, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n66, ?,107112, 7th-8th,4, Never-married, ?, Other-relative, Black, Male,0,0,30, United-States, <=50K\n20, Private,54152, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, ?, <=50K\n28, Private,152951, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,190487, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,28, Ecuador, <=50K\n25, Private,306666, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,45, United-States, <=50K\n37, Private,195148, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, White, Male,3137,0,40, United-States, <=50K\n31, Self-emp-not-inc,226624, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n49, Private,157569, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, State-gov,22966, Some-college,10, Married-spouse-absent, Tech-support, Unmarried, White, Male,0,0,20, United-States, <=50K\n52, Private,379682, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,0,0,20, United-States, >50K\n29, Private,446559, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K\n18, Private,41794, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n31, Local-gov,90409, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n23, Private,125491, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Vietnam, <=50K\n27, ?,129661, Assoc-voc,11, Married-civ-spouse, ?, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, >50K\n54, Self-emp-not-inc,104748, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K\n50, Local-gov,169182, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,49, Dominican-Republic, <=50K\n46, Private,324655, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,1902,40, ?, >50K\n24, Private,122272, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Female,0,0,40, United-States, <=50K\n17, ?,114798, 11th,7, Never-married, ?, Own-child, White, Female,0,0,18, United-States, <=50K\n49, Self-emp-inc,289707, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K\n54, Local-gov,137691, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,84610, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K\n49, Private,166789, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,348728, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n23, Private,348092, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, Haiti, <=50K\n63, Private,154526, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n67, Private,288371, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Canada, >50K\n23, Private,182342, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,244366, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n66, Private,102423, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, United-States, <=50K\n25, Private,259688, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,98733, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,20, United-States, <=50K\n35, Private,174856, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,2885,0,40, United-States, <=50K\n67, Self-emp-not-inc,141797, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,327202, 12th,8, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n26, Private,76996, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n34, Private,260560, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,370990, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,129010, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,10, United-States, <=50K\n21, Private,452640, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n76, Self-emp-inc,120796, 9th,5, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n51, Federal-gov,45334, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,70, ?, <=50K\n26, Private,229523, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,56, United-States, <=50K\n18, Private,127388, 12th,8, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n18, ?,395567, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,119422, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1672,50, United-States, <=50K\n59, Private,193895, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Private,163083, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,14084,0,45, United-States, >50K\n33, Self-emp-not-inc,155343, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,72, United-States, <=50K\n25, Private,73895, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n48, Private,107682, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,10, United-States, <=50K\n64, Private,321166, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,5, United-States, <=50K\n47, Local-gov,154940, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K\n26, Private,103700, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,63509, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K\n21, Private,243842, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n54, ?,187221, 7th-8th,4, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n30, Private,58597, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,44, United-States, <=50K\n41, Self-emp-not-inc,190290, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, ?,158352, Masters,14, Never-married, ?, Not-in-family, White, Female,8614,0,35, United-States, >50K\n34, Private,62165, Some-college,10, Never-married, Sales, Other-relative, Black, Male,0,0,30, United-States, <=50K\n20, ?,307149, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n24, Private,280134, 10th,6, Never-married, Sales, Not-in-family, White, Male,0,0,49, El-Salvador, <=50K\n26, Private,118736, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n25, Private,171114, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,48, United-States, <=50K\n35, Private,169638, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,36, United-States, <=50K\n41, Private,125461, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n33, Private,145434, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,152182, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n27, Self-emp-inc,233724, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K\n32, Private,153963, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n51, Local-gov,88120, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n38, Private,96330, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n41, Local-gov,66118, Some-college,10, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,25, United-States, <=50K\n26, Private,182178, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,40, United-States, <=50K\n38, Self-emp-not-inc,53628, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Male,0,0,35, United-States, <=50K\n54, Private,174865, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n30, Private,66194, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, Outlying-US(Guam-USVI-etc), <=50K\n31, Private,73796, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K\n26, State-gov,28366, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n75, Self-emp-not-inc,231741, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,4931,0,3, United-States, <=50K\n29, Private,237865, Masters,14, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n61, Private,195453, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,116934, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K\n22, ?,87867, 12th,8, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n34, Private,456399, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,263608, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,263498, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,183765, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, ?, <=50K\n27, Federal-gov,469705, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,1980,40, United-States, <=50K\n39, Local-gov,113253, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n20, Private,138768, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,302146, 11th,7, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n68, Private,253866, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n28, Federal-gov,214858, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K\n43, Private,243476, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,169104, Some-college,10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,103218, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n41, Private,57233, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,228320, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n20, Private,217421, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n46, Private,185041, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,75, United-States, >50K\n27, Self-emp-not-inc,37302, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,70, United-States, >50K\n32, Private,261059, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K\n46, Private,59767, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n26, Private,333541, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K\n20, Private,133352, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n36, Private,99270, HS-grad,9, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,40, United-States, <=50K\n49, Private,204629, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,34104, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,55, United-States, >50K\n32, Private,312667, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n49, Private,329603, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n36, Private,281021, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n22, Private,275385, Some-college,10, Never-married, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K\n52, Federal-gov,129177, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,385591, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n22, ?,201179, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n72, Private,38360, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,16, United-States, <=50K\n30, Local-gov,73796, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,67671, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,257621, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K\n22, Private,180052, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n59, Private,656036, Bachelors,13, Separated, Adm-clerical, Unmarried, White, Male,0,0,60, United-States, <=50K\n46, Private,215943, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,488720, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n64, Federal-gov,199298, 7th-8th,4, Widowed, Other-service, Unmarried, White, Female,0,0,30, Puerto-Rico, <=50K\n31, Private,305692, Some-college,10, Married-civ-spouse, Sales, Wife, Black, Female,0,0,40, United-States, <=50K\n64, Private,114994, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n45, Private,88265, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Private,168569, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K\n32, Private,175413, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, Jamaica, <=50K\n43, Private,161226, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n66, ?,160995, 10th,6, Divorced, ?, Not-in-family, White, Female,1086,0,20, United-States, <=50K\n23, Private,208598, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n49, Self-emp-not-inc,200471, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,256609, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n49, Private,176684, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,206512, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,212640, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,85, United-States, <=50K\n47, Private,148724, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K\n41, Private,266510, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,240252, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,358975, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n20, ?,124242, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,434710, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n25, Private,204338, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,30, ?, <=50K\n46, Private,241844, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,191342, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K\n41, Private,221947, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, >50K\n44, Private,111483, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,1504,50, United-States, <=50K\n30, Private,65278, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,133403, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,166416, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K\n58, ?,142158, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K\n21, Private,221480, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,25, Ecuador, <=50K\n35, Self-emp-not-inc,189878, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,278403, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, >50K\n19, Private,184710, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n48, Private,177775, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, ?,275943, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Nicaragua, <=50K\n65, Self-emp-not-inc,225473, Some-college,10, Widowed, Craft-repair, Not-in-family, White, Female,0,0,35, United-States, <=50K\n40, Private,289403, Bachelors,13, Separated, Adm-clerical, Unmarried, Black, Male,0,0,35, United-States, <=50K\n26, Private,269060, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,449354, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,214413, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,80058, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,202027, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,27828,0,50, United-States, >50K\n22, Self-emp-not-inc,123440, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K\n37, Private,191524, Assoc-voc,11, Separated, Prof-specialty, Own-child, White, Female,0,0,38, United-States, <=50K\n25, Private,308144, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n64, Private,164204, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,53, ?, <=50K\n46, Private,205100, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n30, Private,195750, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,27, United-States, <=50K\n63, Private,149756, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n51, Local-gov,240358, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n68, Self-emp-not-inc,241174, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,16, United-States, <=50K\n36, Private,356838, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, Canada, <=50K\n28, Self-emp-inc,115705, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n41, Local-gov,137142, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,296066, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,401335, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n33, ?,182771, Bachelors,13, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,80, Philippines, <=50K\n34, Self-emp-inc,186824, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n46, Federal-gov,162187, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,98010, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,172538, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K\n18, Private,80163, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n33, Local-gov,43959, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n51, Private,162632, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,60, United-States, >50K\n56, Self-emp-not-inc,115422, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n54, Private,100933, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,270379, HS-grad,9, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n40, Private,20109, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Female,0,0,84, United-States, <=50K\n53, Private,114758, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,65, United-States, >50K\n22, Private,100345, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n33, Private,184901, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,87239, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n63, Private,127363, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,12, United-States, <=50K\n53, Federal-gov,199720, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, Germany, >50K\n37, Private,143058, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n50, Federal-gov,36489, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n22, Private,141698, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Federal-gov,26358, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,195532, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,8614,0,40, United-States, >50K\n21, Private,30039, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,125159, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, Jamaica, <=50K\n20, Private,246250, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Federal-gov,77370, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,355569, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n32, Private,180603, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,201785, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,256211, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n27, Private,146764, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n22, ?,211968, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, Iran, <=50K\n29, Private,200515, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, <=50K\n29, Private,52636, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,27049, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K\n35, Private,111128, 10th,6, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,348038, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, Puerto-Rico, >50K\n33, Private,93930, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n67, Private,397831, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1539,40, United-States, <=50K\n46, Private,33794, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,10, United-States, <=50K\n45, Private,178215, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K\n17, Local-gov,191910, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n35, Private,340110, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,70, United-States, >50K\n48, Self-emp-not-inc,133694, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, Black, Male,0,0,40, Jamaica, >50K\n49, Private,148398, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n20, Private,133515, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n27, Private,181667, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013,0,46, Canada, <=50K\n64, Private,159715, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n53, Federal-gov,174040, Some-college,10, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n52, Private,117700, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,37215, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n32, Self-emp-inc,46807, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K\n48, Self-emp-not-inc,317360, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K\n30, Private,425627, Some-college,10, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K\n34, Private,82623, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n19, ?,63574, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K\n39, Private,140854, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n28, Private,185061, 11th,7, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n17, Private,160118, 12th,8, Never-married, Sales, Not-in-family, White, Female,0,0,10, ?, <=50K\n54, Private,282680, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n24, Private,137591, Some-college,10, Never-married, Sales, Own-child, White, Male,0,1762,40, United-States, <=50K\n25, Private,198163, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,132749, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,12, United-States, <=50K\n48, Local-gov,31264, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,5178,0,40, United-States, >50K\n24, Private,399449, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,27494, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, Taiwan, <=50K\n47, Private,368561, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,102096, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K\n19, Private,406078, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n52, Self-emp-inc,100506, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n52, Private,29658, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,20469, HS-grad,9, Never-married, ?, Other-relative, Asian-Pac-Islander, Female,0,0,12, South, <=50K\n60, Private,181953, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,28, United-States, <=50K\n43, Private,304175, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,170070, Assoc-acdm,12, Divorced, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n20, ?,193416, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Private,194908, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,357962, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,214716, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n40, Self-emp-inc,207578, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n54, Private,146409, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,341643, Bachelors,13, Never-married, Other-service, Other-relative, White, Male,0,0,50, United-States, <=50K\n52, Private,131631, 11th,7, Separated, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K\n53, Private,88842, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K\n56, ?,128900, Some-college,10, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n35, Private,417136, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,336763, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,880,42, United-States, <=50K\n29, Private,209301, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, <=50K\n29, Private,120986, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,65, United-States, <=50K\n27, Private,51025, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Private,218281, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K\n64, Private,114994, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,18, United-States, <=50K\n53, Private,335481, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,32, United-States, <=50K\n21, Private,174503, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n40, Self-emp-not-inc,230478, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K\n52, State-gov,149650, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Iran, >50K\n38, Private,149419, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K\n40, ?,341539, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n39, Private,185099, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n56, ?,132930, Masters,14, Never-married, ?, Not-in-family, White, Female,0,0,50, United-States, >50K\n68, Private,128472, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n24, Private,124971, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K\n40, Self-emp-inc,344060, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n43, Self-emp-inc,286750, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,99, United-States, >50K\n38, Private,296999, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,70, United-States, <=50K\n45, Private,123681, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,232024, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,55, United-States, <=50K\n57, Local-gov,52267, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n49, Private,119182, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n25, Private,191230, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, Yugoslavia, <=50K\n52, Federal-gov,23780, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Private,184553, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,56, United-States, <=50K\n26, Self-emp-inc,242651, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K\n19, Private,246226, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Self-emp-inc,86745, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n25, Private,106889, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K\n21, Private,460835, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,45, United-States, <=50K\n48, Self-emp-not-inc,213140, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K\n33, State-gov,37070, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Canada, <=50K\n31, State-gov,93589, HS-grad,9, Divorced, Protective-serv, Own-child, Other, Male,0,0,40, United-States, <=50K\n26, Self-emp-not-inc,213258, HS-grad,9, Divorced, Farming-fishing, Unmarried, White, Male,0,0,65, United-States, <=50K\n37, State-gov,46814, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K\n29, ?,168873, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,30, United-States, <=50K\n20, Private,284737, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n28, Private,309620, Some-college,10, Married-civ-spouse, Sales, Husband, Other, Male,0,0,60, ?, <=50K\n49, Private,197418, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n73, ?,132737, 10th,6, Never-married, ?, Not-in-family, White, Male,0,0,4, United-States, <=50K\n49, Private,185041, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n51, Private,159604, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n40, Private,123557, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,275421, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n18, Private,167147, 12th,8, Never-married, Sales, Own-child, White, Male,0,0,24, United-States, <=50K\n41, Private,197583, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K\n46, Private,175109, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1485,40, United-States, >50K\n46, Private,117502, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n64, Private,180401, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n50, Self-emp-not-inc,146603, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n53, State-gov,143822, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K\n21, Private,51985, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, State-gov,48121, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K\n37, Private,234807, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,7430,0,45, United-States, >50K\n39, Federal-gov,65324, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K\n30, Private,302149, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n25, Private,168403, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1741,40, United-States, <=50K\n26, Private,159897, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n43, Private,416338, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n59, Private,370615, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,60, United-States, <=50K\n27, Private,219371, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, Jamaica, <=50K\n55, Private,120970, 10th,6, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n20, Private,22966, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,12, Canada, <=50K\n25, Private,34541, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, Canada, <=50K\n28, Private,191027, Assoc-acdm,12, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,107458, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n60, Private,121832, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n37, Local-gov,233825, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,50, United-States, >50K\n25, Private,73839, 11th,7, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,109165, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n50, State-gov,103063, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-not-inc,29762, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,5013,0,70, United-States, <=50K\n46, Private,111979, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, <=50K\n35, Private,150125, Assoc-voc,11, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n21, ?,301853, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n35, ?,296738, 11th,7, Separated, ?, Not-in-family, White, Female,6849,0,60, United-States, <=50K\n40, Private,118001, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n49, Private,149337, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,36601, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n43, Local-gov,118600, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,625,40, United-States, <=50K\n39, Private,279272, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,60, United-States, <=50K\n35, Private,181020, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,60, United-States, <=50K\n52, Private,165998, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,218136, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, Outlying-US(Guam-USVI-etc), <=50K\n20, Self-emp-inc,182200, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K\n46, Private,39363, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,10, ?, <=50K\n24, Private,140001, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,193260, Bachelors,13, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,30, India, <=50K\n21, Private,191243, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Federal-gov,207887, Bachelors,13, Divorced, Exec-managerial, Other-relative, White, Female,0,0,50, United-States, <=50K\n43, Federal-gov,211450, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,184759, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,26, United-States, <=50K\n47, Private,197836, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n61, Private,232308, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n21, ?,189888, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,0,0,55, United-States, <=50K\n35, Private,301614, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K\n60, Private,146674, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,225291, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Local-gov,148509, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,35, India, <=50K\n56, Private,136413, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,126060, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,73064, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,35, United-States, <=50K\n19, Private,39026, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n28, Self-emp-not-inc,33035, 12th,8, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n43, Private,193494, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n63, Local-gov,147440, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n22, ?,153131, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,64671, HS-grad,9, Divorced, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n35, Self-emp-not-inc,225399, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,8614,0,40, United-States, >50K\n20, Private,174391, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n48, Private,377757, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K\n30, Local-gov,364310, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, Germany, <=50K\n31, Private,110643, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,70240, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,24, Philippines, <=50K\n57, State-gov,32694, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n41, Private,95047, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,44, United-States, >50K\n33, Private,264936, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n27, Private,367329, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,56026, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n22, Private,186452, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n50, Private,125417, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, >50K\n40, Self-emp-not-inc,242082, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n37, Private,31023, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,51, United-States, <=50K\n40, ?,397346, Assoc-acdm,12, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,424079, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n38, Self-emp-not-inc,108947, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688,0,40, United-States, >50K\n25, State-gov,261979, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,55507, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n22, ?,291407, 12th,8, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n18, Private,353358, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n41, Private,67339, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7688,0,40, United-States, >50K\n33, Private,235109, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,208180, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n67, State-gov,423561, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,145290, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,50, United-States, >50K\n24, Private,403671, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Local-gov,49325, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,370494, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n25, Private,267012, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n33, Private,191856, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Private,80445, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,379798, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n32, Local-gov,168387, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n18, Private,301948, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,34095,0,3, United-States, <=50K\n36, Private,274809, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n58, Private,233193, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,27, United-States, <=50K\n34, Private,299635, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n19, Private,236396, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,688355, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Self-emp-inc,37019, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n37, Private,148015, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,15024,0,40, United-States, >50K\n43, Private,122975, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,21, Trinadad&Tobago, <=50K\n52, State-gov,349795, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,229846, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,40, ?, <=50K\n43, Private,108945, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K\n22, Private,237498, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n57, Private,188872, 5th-6th,3, Divorced, Transport-moving, Unmarried, White, Male,6497,0,40, United-States, <=50K\n37, Private,324019, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,82488, Some-college,10, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female,0,0,38, United-States, <=50K\n54, Private,206964, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,37088, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,152540, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n65, Private,143554, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n30, Private,126242, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n22, Private,127185, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,164018, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,4064,0,50, United-States, <=50K\n25, Private,210184, 11th,7, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n35, ?,117528, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K\n47, Private,124973, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n23, Private,182117, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,60, United-States, <=50K\n42, Private,220049, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K\n39, Self-emp-not-inc,247975, Some-college,10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K\n55, Private,50164, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n24, State-gov,123160, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,10, China, <=50K\n46, Self-emp-inc,219962, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, ?, >50K\n53, Private,79324, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,129100, 11th,7, Separated, Other-service, Unmarried, Black, Female,0,0,60, United-States, <=50K\n40, Private,210275, HS-grad,9, Separated, Transport-moving, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, Private,189462, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n26, Private,171114, Assoc-voc,11, Separated, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n22, Private,201799, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n35, ?,200426, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,12, United-States, <=50K\n20, ?,24395, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,20, United-States, <=50K\n43, Private,191149, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Local-gov,34173, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, <=50K\n30, Private,350979, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K\n41, Private,147314, HS-grad,9, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K\n38, Private,136081, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n77, ?,232894, 9th,5, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,373403, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n20, Private,120601, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n36, Private,130926, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,3674,0,40, United-States, <=50K\n32, Federal-gov,72338, Assoc-voc,11, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n27, Private,129624, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, State-gov,328697, Some-college,10, Divorced, Protective-serv, Other-relative, White, Male,0,0,45, United-States, <=50K\n40, Private,191196, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, ?,191117, 11th,7, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n49, Private,110243, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n17, Private,181580, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n29, Private,89030, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Private,345493, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999,0,55, Taiwan, >50K\n24, Self-emp-not-inc,277700, Some-college,10, Separated, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K\n58, ?,198478, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K\n29, Private,250679, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,168837, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,24, Canada, >50K\n30, Private,142675, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n19, Private,299050, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n59, Private,107833, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1485,40, United-States, >50K\n47, Private,121958, 7th-8th,4, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n41, Private,282948, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,3137,0,40, United-States, <=50K\n28, Private,176683, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, France, <=50K\n46, Private,34377, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-not-inc,209833, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n66, State-gov,41506, 10th,6, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n30, Local-gov,125159, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,14084,0,45, ?, >50K\n44, Self-emp-not-inc,147206, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,12, United-States, <=50K\n58, Self-emp-not-inc,93664, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n21, Private,315065, 7th-8th,4, Never-married, Other-service, Other-relative, White, Male,0,0,48, Mexico, <=50K\n59, Private,381851, 9th,5, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n35, Local-gov,185769, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,186272, 9th,5, Married-civ-spouse, Adm-clerical, Husband, Black, Male,5178,0,40, United-States, >50K\n30, Private,312667, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,343925, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K\n26, Private,195994, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n48, Private,398843, Some-college,10, Separated, Sales, Unmarried, Black, Female,0,0,35, United-States, <=50K\n31, Private,73514, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n36, Private,288049, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n48, Private,54759, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K\n30, Private,155343, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n33, Private,401104, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, >50K\n19, ?,124884, 9th,5, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n37, Local-gov,287306, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, Black, Female,99999,0,40, ?, >50K\n53, Private,113995, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n18, Private,146378, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, ?, <=50K\n38, Private,111499, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,50, United-States, >50K\n34, Private,34374, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K\n45, Private,162187, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K\n33, Local-gov,147654, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n35, Private,182467, Assoc-voc,11, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,44, United-States, <=50K\n22, Private,183970, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n35, Private,332588, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n45, Private,26781, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,8, United-States, <=50K\n17, Private,48610, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,45, United-States, <=50K\n50, Private,162632, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n38, Local-gov,91711, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,198003, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K\n46, Private,179048, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, ?, <=50K\n25, Private,262778, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,6849,0,50, United-States, <=50K\n64, Private,102470, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,123170, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, <=50K\n32, Private,164243, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, >50K\n17, Private,262511, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n61, Private,51170, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n40, State-gov,91949, Doctorate,16, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n21, Private,123727, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K\n39, Private,173175, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n35, Self-emp-not-inc,120301, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n29, Private,250967, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n27, Federal-gov,285432, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n20, Private,36235, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, ?,317219, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, >50K\n51, Local-gov,110965, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,123283, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,15, United-States, <=50K\n20, ?,249087, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,152940, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,376680, HS-grad,9, Never-married, Tech-support, Own-child, Black, Male,0,0,40, United-States, <=50K\n56, Private,231232, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, Canada, <=50K\n55, Self-emp-not-inc,168625, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,12, United-States, >50K\n26, Private,33939, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,20, United-States, <=50K\n46, Private,155659, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,45, United-States, >50K\n32, Local-gov,190228, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,216178, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,587310, 7th-8th,4, Never-married, Other-service, Other-relative, White, Male,0,0,35, Guatemala, <=50K\n23, Private,155919, 9th,5, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n59, Private,227386, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,138152, 12th,8, Never-married, Craft-repair, Other-relative, Other, Male,0,0,48, Guatemala, <=50K\n36, Private,167482, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,57957, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n33, Private,157747, 9th,5, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,70, United-States, <=50K\n60, Self-emp-not-inc,88570, Assoc-voc,11, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,15, Germany, >50K\n40, Private,273308, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,48, Mexico, <=50K\n48, Private,216292, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,43, United-States, <=50K\n27, Self-emp-not-inc,131298, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n19, Private,386378, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n38, Private,179668, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,210812, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,43, United-States, <=50K\n45, Federal-gov,311671, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,3908,0,40, United-States, <=50K\n20, Private,215247, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n32, Federal-gov,125856, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n22, Private,74631, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,13, United-States, <=50K\n22, Private,24008, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, State-gov,354591, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,114,0,38, United-States, <=50K\n34, Private,155343, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,50, United-States, >50K\n46, Private,308334, 1st-4th,2, Widowed, Other-service, Unmarried, Other, Female,0,0,30, Mexico, <=50K\n39, Private,245361, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,25, United-States, <=50K\n79, Self-emp-not-inc,158319, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n60, ?,204486, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, >50K\n24, Private,314823, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, Dominican-Republic, <=50K\n31, Private,211334, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,65, United-States, <=50K\n37, Self-emp-not-inc,73199, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,3137,0,77, Vietnam, <=50K\n23, Private,126550, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n31, Private,260782, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1579,45, El-Salvador, <=50K\n29, Private,114224, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n22, State-gov,64292, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,43, United-States, <=50K\n69, ?,628797, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n55, Local-gov,219775, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K\n43, Private,212894, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n23, Private,260019, 7th-8th,4, Never-married, Farming-fishing, Unmarried, Other, Male,0,0,36, Mexico, <=50K\n29, Private,228075, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,35, Mexico, <=50K\n22, Private,239806, Assoc-voc,11, Never-married, Other-service, Other-relative, White, Female,0,0,40, Mexico, <=50K\n22, Private,324637, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K\n25, Private,163620, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,84, United-States, >50K\n29, Private,194200, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,45, United-States, <=50K\n25, State-gov,129200, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n33, Federal-gov,207172, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,135312, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n31, Private,100734, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,28, United-States, <=50K\n30, Local-gov,226443, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,45, United-States, >50K\n55, Private,110871, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,192704, 12th,8, Never-married, Exec-managerial, Not-in-family, White, Male,4650,0,50, United-States, <=50K\n47, ?,224108, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,78870, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,8614,0,40, United-States, >50K\n42, Private,107762, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n51, Private,183611, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,0,0,55, Germany, <=50K\n62, Local-gov,249078, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n65, Self-emp-inc,208452, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K\n23, Private,302195, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n60, ?,199947, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K\n47, Private,379118, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, United-States, >50K\n50, Self-emp-inc,174855, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n70, ?,173736, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K\n32, Self-emp-not-inc,39369, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Federal-gov,196348, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,340917, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,14344,0,40, United-States, >50K\n76, Private,97077, 10th,6, Widowed, Sales, Unmarried, Black, Female,0,0,12, United-States, <=50K\n54, Private,200098, Bachelors,13, Divorced, Sales, Not-in-family, Black, Female,0,0,60, United-States, <=50K\n32, Federal-gov,127651, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,315128, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,52, United-States, <=50K\n31, Federal-gov,206823, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,50, United-States, >50K\n65, Self-emp-not-inc,316093, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,1668,40, United-States, <=50K\n30, Private,112115, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, Ireland, >50K\n63, ?,203821, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,250051, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K\n40, Federal-gov,298635, Masters,14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,1902,40, Philippines, >50K\n26, State-gov,109193, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,130849, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,8, United-States, <=50K\n34, Local-gov,43959, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n66, Local-gov,222810, Some-college,10, Divorced, Other-service, Other-relative, White, Female,7896,0,40, ?, >50K\n44, Self-emp-not-inc,27242, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K\n30, Private,53158, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,206520, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,164190, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,287988, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K\n28, ?,200819, 7th-8th,4, Divorced, ?, Own-child, White, Male,0,0,84, United-States, <=50K\n23, Private,83891, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n49, Private,65087, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n39, Self-emp-not-inc,363418, Bachelors,13, Separated, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n67, ?,182378, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,9386,0,60, United-States, >50K\n19, Private,278870, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K\n30, Private,174789, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,50, United-States, >50K\n25, Private,228608, Some-college,10, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Female,0,0,40, Cambodia, <=50K\n24, Private,184400, HS-grad,9, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,30, ?, <=50K\n46, Private,263568, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,117381, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n41, Federal-gov,83411, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,49156, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K\n44, Private,421449, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,238944, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,188982, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,20, United-States, >50K\n48, Private,175925, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n34, Private,164190, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,232914, Assoc-voc,11, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n46, Self-emp-inc,120121, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n36, Local-gov,180805, HS-grad,9, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n59, Local-gov,161944, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K\n29, Private,319149, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Mexico, <=50K\n50, ?,22428, Masters,14, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,290528, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,123984, Assoc-acdm,12, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Philippines, <=50K\n48, Private,34186, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n51, Federal-gov,282680, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,70, United-States, >50K\n36, Private,183892, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,8614,0,45, United-States, >50K\n42, Local-gov,195124, 11th,7, Divorced, Sales, Unmarried, White, Male,7430,0,50, Puerto-Rico, >50K\n49, State-gov,55938, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,209900, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,20, United-States, <=50K\n40, Private,179717, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,1564,60, United-States, >50K\n26, Private,150361, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n69, ?,164102, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, >50K\n59, Private,252714, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, Italy, <=50K\n30, Private,205204, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Local-gov,168906, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K\n30, Private,112115, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,116531, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, ?,202994, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,16, United-States, <=50K\n56, Private,191917, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,4101,0,40, United-States, <=50K\n24, Private,341294, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,216734, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K\n51, Private,182187, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n34, Private,424988, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n47, Private,379118, HS-grad,9, Divorced, Other-service, Unmarried, Black, Male,0,0,9, United-States, <=50K\n47, Private,168232, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,44, United-States, >50K\n20, Private,147171, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n34, Self-emp-inc,207668, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,54, ?, >50K\n31, Private,193650, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,200187, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n52, Private,188644, 5th-6th,3, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K\n56, Private,398067, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Private,29658, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,154966, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n81, Private,364099, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n28, ?,291374, 10th,6, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n57, Federal-gov,97837, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, >50K\n34, Private,117983, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, ?,345497, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,64167, Assoc-voc,11, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n20, Private,315877, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,2001,40, United-States, <=50K\n68, Federal-gov,232151, Some-college,10, Divorced, Adm-clerical, Other-relative, Black, Female,2346,0,40, United-States, <=50K\n60, Private,225526, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K\n37, Federal-gov,289653, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,179462, 7th-8th,4, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Federal-gov,67317, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,77764, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,253438, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n31, Private,150309, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Female,0,0,70, United-States, <=50K\n47, Self-emp-not-inc,83064, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n60, Self-emp-not-inc,376973, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K\n75, Private,311184, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,24, United-States, <=50K\n43, Local-gov,159449, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,168288, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,74883, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,1092,40, Philippines, <=50K\n20, Private,275190, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Private,189838, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n57, Self-emp-inc,101338, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n43, Private,331894, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n18, Self-emp-not-inc,40293, HS-grad,9, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,88904, Bachelors,13, Separated, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, Private,145041, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Dominican-Republic, <=50K\n35, Private,46385, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,90, United-States, >50K\n41, State-gov,363591, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,183327, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Female,0,1594,20, United-States, <=50K\n32, State-gov,182556, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,45, United-States, >50K\n33, Private,267859, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, El-Salvador, <=50K\n58, Private,190747, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,162869, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,65, United-States, <=50K\n33, Private,141229, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n42, Self-emp-not-inc,174216, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n25, Private,366416, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,172538, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n35, Private,193026, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n50, Private,184424, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1902,38, United-States, >50K\n49, Local-gov,337768, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n25, Local-gov,179059, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Federal-gov,99549, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,72619, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n42, State-gov,55764, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n37, Private,30267, 11th,7, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, >50K\n25, Private,308144, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n29, Private,206351, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n26, Private,282304, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n26, ?,176077, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-inc,142719, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,114973, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K\n33, Federal-gov,159548, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n43, Private,91209, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,196564, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n51, Self-emp-not-inc,149220, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, <=50K\n21, Private,169699, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n23, Private,218215, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n30, Private,156718, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,55720, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n38, Self-emp-inc,257250, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n20, Private,194630, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,398931, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1485,50, United-States, >50K\n37, Self-emp-not-inc,362062, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n44, Local-gov,101593, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,1876,42, United-States, <=50K\n33, Private,196266, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n45, Local-gov,197332, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,97842, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,86837, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,1902,40, United-States, >50K\n17, Private,57324, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n43, Private,116852, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,36, Portugal, >50K\n45, Private,154430, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,10520,0,50, United-States, >50K\n37, Private,38468, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Local-gov,188808, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n55, Local-gov,177163, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,914,0,50, United-States, <=50K\n41, Private,187322, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n23, Private,107578, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,2174,0,40, United-States, <=50K\n38, Private,168680, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n23, Private,256755, Bachelors,13, Never-married, Handlers-cleaners, Other-relative, White, Female,0,0,40, Cuba, <=50K\n35, Private,360799, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n18, Private,188476, 11th,7, Never-married, Exec-managerial, Own-child, White, Male,0,0,20, United-States, <=50K\n47, Private,30457, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,252752, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,8, United-States, <=50K\n41, Self-emp-not-inc,443508, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,244408, Some-college,10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,24, Vietnam, <=50K\n41, Private,178983, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n26, Private,143068, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,2407,0,50, United-States, <=50K\n30, Local-gov,247328, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,201732, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,246829, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, ?,290267, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,18, United-States, <=50K\n29, Private,119170, Some-college,10, Separated, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n21, Private,207923, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n48, State-gov,170142, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n44, Self-emp-not-inc,187164, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,60, United-States, <=50K\n34, Local-gov,303867, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,291429, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n32, Private,213179, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, >50K\n31, State-gov,111843, Assoc-acdm,12, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n25, Private,297154, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2407,0,40, United-States, <=50K\n47, Federal-gov,68493, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n46, Federal-gov,340718, 11th,7, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,194059, 12th,8, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,47296, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1740,20, United-States, <=50K\n28, State-gov,286310, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,207202, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K\n33, Self-emp-inc,132601, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n17, ?,139183, 10th,6, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K\n41, Private,160785, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,117849, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n38, Local-gov,225605, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, <=50K\n24, Private,190290, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n49, Private,164799, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n60, Federal-gov,21876, Some-college,10, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n44, Private,160785, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n63, Self-emp-inc,272425, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,168538, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n45, Self-emp-inc,204205, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n49, Private,142287, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,50, United-States, >50K\n36, Private,169926, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Local-gov,205024, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,8, United-States, <=50K\n41, Private,374764, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Male,0,0,20, United-States, <=50K\n25, Private,108779, Masters,14, Separated, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n20, ?,293136, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n60, Private,227332, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Local-gov,246308, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, Puerto-Rico, <=50K\n28, Private,51331, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,16, United-States, >50K\n31, Private,153078, Assoc-acdm,12, Never-married, Craft-repair, Own-child, Other, Male,0,0,50, United-States, <=50K\n47, Private,169180, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n45, Self-emp-not-inc,193451, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n51, Private,305147, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,138892, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,402397, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,60, United-States, >50K\n34, Private,223267, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Male,0,0,50, United-States, <=50K\n19, Private,29250, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K\n51, ?,203953, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n46, State-gov,29696, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,315640, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1977,40, China, >50K\n37, Private,632613, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, Mexico, <=50K\n56, Private,282023, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n29, Private,77760, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n46, Self-emp-not-inc,148599, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n55, Private,414994, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,339863, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,8614,0,48, United-States, >50K\n34, Private,499249, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n45, ?,144354, 9th,5, Separated, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n41, Private,252058, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, ?,99543, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n34, Private,117963, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,194652, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n29, Private,299705, Some-college,10, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,37, United-States, <=50K\n19, Federal-gov,27433, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n47, Local-gov,39986, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-inc,135342, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,270142, Assoc-voc,11, Separated, Exec-managerial, Unmarried, Black, Female,0,0,60, United-States, <=50K\n33, Self-emp-not-inc,118267, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n29, Private,266043, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,35633, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,74568, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,214816, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n43, Private,222971, 5th-6th,3, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K\n31, Private,259425, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n47, Self-emp-inc,212120, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,245880, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K\n58, Local-gov,54947, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K\n47, Self-emp-inc,79627, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,27828,0,50, United-States, >50K\n55, Private,151474, Bachelors,13, Never-married, Tech-support, Other-relative, White, Female,0,1590,38, United-States, <=50K\n26, Private,132661, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,5013,0,40, United-States, <=50K\n28, Private,161674, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,62346, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Private,227236, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n19, Private,283033, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n63, Self-emp-not-inc,298249, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,10605,0,40, United-States, >50K\n42, Private,251229, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n76, Private,199949, 9th,5, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,13, United-States, <=50K\n23, State-gov,305498, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,203836, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, State-gov,79440, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,30, Japan, <=50K\n48, Local-gov,142719, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,119859, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, >50K\n32, Private,141410, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n44, Local-gov,202872, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,25, United-States, <=50K\n27, Private,198813, HS-grad,9, Divorced, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n33, Federal-gov,129707, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n22, Private,445758, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n18, ?,30246, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n44, Private,173981, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,108506, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n34, Private,134886, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Federal-gov,181970, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1672,40, United-States, <=50K\n57, Self-emp-inc,282913, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Cuba, <=50K\n59, Local-gov,196013, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n33, Federal-gov,348491, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, >50K\n52, Private,416164, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0,0,49, Mexico, <=50K\n17, Private,121037, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n29, Private,103111, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, Canada, <=50K\n63, Self-emp-not-inc,147589, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K\n20, Private,24008, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,24, United-States, <=50K\n42, Self-emp-inc,123838, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n50, Self-emp-not-inc,175456, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n55, Private,84774, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,30, United-States, <=50K\n27, Private,194590, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,25, United-States, <=50K\n28, Private,134566, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n55, Private,211678, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n44, Federal-gov,44822, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n53, State-gov,144586, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,119156, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,371987, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, State-gov,144125, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Private,31905, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n48, Self-emp-not-inc,121124, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n46, Private,58126, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,318518, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,296509, 7th-8th,4, Separated, Farming-fishing, Not-in-family, White, Male,0,0,45, Mexico, <=50K\n32, Private,473133, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,155434, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n52, Private,99185, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, United-States, >50K\n39, Private,56648, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,47, United-States, <=50K\n57, Local-gov,118481, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n21, Private,321666, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,594,0,40, United-States, <=50K\n22, State-gov,119838, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n26, Private,330695, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n26, State-gov,58039, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,313022, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n42, Private,178134, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n40, Private,165309, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,43, United-States, <=50K\n22, Private,216181, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K\n62, Private,178745, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n44, Private,111067, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,163788, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,295591, 1st-4th,2, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n45, Private,123075, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n18, Private,78045, 11th,7, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Local-gov,255004, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,254221, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, >50K\n20, Private,174714, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,15, United-States, <=50K\n68, Self-emp-not-inc,450580, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K\n61, Private,128230, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n48, Private,192894, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,325390, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,20333, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,7688,0,40, United-States, >50K\n32, Federal-gov,128714, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,32, United-States, <=50K\n35, Private,170797, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,269186, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,127671, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,211840, Some-college,10, Separated, Sales, Unmarried, Black, Female,0,0,16, United-States, <=50K\n37, Private,163392, HS-grad,9, Never-married, Transport-moving, Other-relative, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n40, Private,201495, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,45, United-States, <=50K\n25, Private,251854, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K\n41, Private,279297, HS-grad,9, Never-married, Sales, Not-in-family, Black, Female,0,0,60, United-States, <=50K\n52, Self-emp-not-inc,195462, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,98, United-States, >50K\n33, Private,170769, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,142443, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Self-emp-not-inc,182809, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n53, Private,121441, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n44, Private,275094, 1st-4th,2, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n35, Private,170263, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,172571, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,58, Poland, <=50K\n34, Private,178615, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,279524, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, State-gov,165201, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,45, United-States, <=50K\n65, Local-gov,323006, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K\n29, Private,235168, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n39, Self-emp-inc,114844, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,65, United-States, >50K\n46, Local-gov,216414, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,34378, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,2580,0,60, United-States, <=50K\n47, State-gov,80914, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,47, United-States, >50K\n62, Private,73292, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,212165, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n90, Private,52386, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,35, United-States, <=50K\n33, Private,205649, Assoc-acdm,12, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K\n57, Private,109638, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,45, United-States, <=50K\n25, Private,200408, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-inc,187720, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,236180, Bachelors,13, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K\n21, Private,118693, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,363130, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,18, United-States, <=50K\n39, Private,225544, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Poland, <=50K\n59, Federal-gov,243612, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,160786, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n49, Private,234320, 7th-8th,4, Never-married, Prof-specialty, Other-relative, Black, Male,0,0,45, United-States, <=50K\n34, Private,314646, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,124971, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,209184, Bachelors,13, Married-civ-spouse, Sales, Husband, Other, Male,0,0,40, Puerto-Rico, <=50K\n39, State-gov,121838, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,265275, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n50, Private,71417, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K\n34, Private,45522, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Local-gov,250135, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,55, United-States, <=50K\n18, Private,120283, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K\n20, Private,216972, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n20, Private,116791, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K\n55, State-gov,26290, Assoc-voc,11, Widowed, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,38, United-States, <=50K\n22, Private,216134, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,143932, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,217120, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n47, State-gov,223944, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K\n23, Private,185452, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, Canada, <=50K\n57, Local-gov,44273, HS-grad,9, Widowed, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, Private,178983, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,219288, 7th-8th,4, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n25, Private,349190, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n49, Self-emp-inc,158685, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,2377,40, United-States, >50K\n41, Federal-gov,57924, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n40, State-gov,270324, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,30, United-States, <=50K\n38, Private,33001, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n58, Private,204021, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, Canada, <=50K\n26, Private,192506, Bachelors,13, Never-married, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n57, Private,372967, 10th,6, Divorced, Adm-clerical, Other-relative, White, Female,0,0,70, Germany, <=50K\n28, Private,273929, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1628,60, United-States, <=50K\n42, Private,195821, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,56179, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,2174,0,55, United-States, <=50K\n17, ?,127003, 9th,5, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,124090, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,199600, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n42, Private,255847, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,48, United-States, >50K\n51, Self-emp-not-inc,218311, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K\n27, Private,167336, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,39, United-States, <=50K\n41, Private,59938, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,43, United-States, <=50K\n28, Private,263728, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,278230, Some-college,10, Divorced, Farming-fishing, Unmarried, White, Female,10520,0,30, United-States, >50K\n73, ?,180603, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K\n49, Private,43910, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K\n47, Private,190139, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,109001, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,49, United-States, <=50K\n42, Local-gov,159931, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n32, Private,194987, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n32, Local-gov,87310, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,41, United-States, <=50K\n27, Private,133937, Masters,14, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,207064, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,36011, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n41, Federal-gov,168294, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,40, United-States, >50K\n49, Local-gov,194895, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7298,0,40, United-States, >50K\n58, Self-emp-not-inc,49884, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n41, Self-emp-not-inc,27305, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688,0,40, United-States, >50K\n26, Private,229977, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n21, Private,64520, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n32, ?,134886, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,2, United-States, >50K\n37, Private,305379, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,202284, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n42, Self-emp-not-inc,99185, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,159662, HS-grad,9, Married-civ-spouse, Sales, Own-child, White, Male,0,0,26, United-States, >50K\n67, Private,197865, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Local-gov,175149, HS-grad,9, Divorced, Transport-moving, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n49, Local-gov,349633, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n36, Private,135293, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,1506,0,45, ?, <=50K\n18, Private,242893, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n25, Private,218667, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n43, State-gov,144811, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n38, Private,146091, Doctorate,16, Married-civ-spouse, Exec-managerial, Wife, White, Female,99999,0,36, United-States, >50K\n21, Private,206861, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, ?, <=50K\n65, Self-emp-not-inc,226215, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K\n66, Private,114447, Assoc-voc,11, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n33, Private,124187, 11th,7, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,60, United-States, <=50K\n51, Private,147954, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,3411,0,38, United-States, <=50K\n27, Self-emp-inc,64379, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n17, Private,156501, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n32, Private,207668, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K\n61, ?,161279, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,36, United-States, <=50K\n38, Private,225707, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Cuba, >50K\n43, Local-gov,115603, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, State-gov,506329, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K\n63, Private,275034, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1740,35, United-States, <=50K\n76, ?,172637, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, >50K\n42, Private,56483, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Federal-gov,144778, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n76, Self-emp-not-inc,33213, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, ?, >50K\n41, Local-gov,297248, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,45, United-States, >50K\n17, Private,137042, 10th,6, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n30, Self-emp-not-inc,33308, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,158420, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, Iran, <=50K\n22, Private,41763, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K\n53, ?,220640, Bachelors,13, Divorced, ?, Other-relative, Other, Female,0,0,20, United-States, <=50K\n28, Private,149734, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,52, United-States, <=50K\n25, ?,262245, Assoc-voc,11, Never-married, ?, Own-child, White, Female,3418,0,40, United-States, <=50K\n24, Private,349691, Some-college,10, Never-married, Sales, Other-relative, Black, Female,0,0,40, United-States, <=50K\n47, Private,185385, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n34, Self-emp-not-inc,174463, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n26, Private,236068, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,20, United-States, <=50K\n63, ?,445168, Bachelors,13, Widowed, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,56, United-States, <=50K\n25, Private,91334, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, <=50K\n28, Private,33895, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n36, Private,214816, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,229773, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-inc,166386, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,35, Taiwan, <=50K\n44, Private,266135, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n18, Private,300379, 12th,8, Never-married, Adm-clerical, Own-child, White, Male,0,0,12, United-States, <=50K\n54, Federal-gov,392502, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n61, Private,73809, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,193720, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n43, Private,316183, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,162944, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,186888, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, >50K\n27, ?,330132, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n24, Private,192017, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K\n20, State-gov,161978, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n52, Private,202930, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n57, Local-gov,323309, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-inc,197332, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n42, Self-emp-inc,204033, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, ?, <=50K\n22, Private,271274, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,174242, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,209483, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n39, Federal-gov,99146, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,60, United-States, >50K\n52, Self-emp-not-inc,102346, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K\n25, Private,181666, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,207367, Some-college,10, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,40, Cuba, <=50K\n35, State-gov,82622, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K\n50, Private,202296, Assoc-voc,11, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n58, Private,142182, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K\n48, Federal-gov,94342, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n30, Private,41493, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, Canada, <=50K\n18, Private,181712, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n29, Self-emp-not-inc,164607, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,41496, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n63, Private,143098, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K\n36, Local-gov,196529, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n24, Private,157332, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,42, United-States, <=50K\n30, Local-gov,154935, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n23, Private,223231, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Mexico, <=50K\n35, ?,253860, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,20, United-States, <=50K\n21, Private,362589, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n28, Private,94880, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,43, Mexico, <=50K\n20, Private,309580, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,130389, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, Scotland, <=50K\n21, Private,349365, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n27, Private,376936, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,179557, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,105577, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n51, Private,224207, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n27, Federal-gov,47907, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Self-emp-not-inc,191283, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n57, Private,20953, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n22, State-gov,186569, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,12, United-States, <=50K\n59, Private,43221, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n38, Private,161141, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,203003, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K\n90, Private,141758, 9th,5, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,113322, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,343847, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, >50K\n45, Private,214068, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n44, Private,116632, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,240160, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,516337, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n23, Self-emp-inc,284651, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,43, United-States, <=50K\n39, State-gov,141420, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,42750, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, United-States, <=50K\n54, Private,165278, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,167265, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K\n44, Private,139907, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K\n31, Self-emp-inc,236415, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n25, Private,312966, 9th,5, Separated, Handlers-cleaners, Other-relative, White, Male,0,0,40, El-Salvador, <=50K\n33, Private,118941, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,32, United-States, >50K\n32, Private,198068, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n36, Private,373952, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,236111, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,55, United-States, >50K\n80, Private,157778, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,10, United-States, <=50K\n21, Private,143604, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K\n35, Self-emp-not-inc,319831, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n77, ?,132728, Masters,14, Divorced, ?, Not-in-family, White, Male,0,0,45, United-States, <=50K\n30, Private,137606, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5013,0,40, United-States, <=50K\n35, ?,61343, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,268234, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,100135, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1740,25, United-States, <=50K\n53, Self-emp-not-inc,34973, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n41, Private,323790, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,55, United-States, <=50K\n57, Private,319733, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Poland, >50K\n21, ?,180339, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n19, Private,125591, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Private,60772, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,45, United-States, <=50K\n42, Federal-gov,74680, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Male,0,2001,60, United-States, <=50K\n29, Self-emp-not-inc,141185, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n38, ?,204668, Assoc-voc,11, Separated, ?, Unmarried, White, Female,0,0,25, United-States, <=50K\n26, Private,273792, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n41, Private,70037, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,3004,60, ?, >50K\n40, Private,343068, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,177907, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n28, Private,144063, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n25, Self-emp-not-inc,257574, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n42, Self-emp-not-inc,67065, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n32, Private,183356, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,152940, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n37, Private,227128, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,45607, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, <=50K\n49, Private,155489, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, ?,230704, HS-grad,9, Never-married, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n24, ?,267955, 9th,5, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n19, Private,165115, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,49923, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,272240, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,255476, 7th-8th,4, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, Mexico, <=50K\n59, Private,194290, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, <=50K\n52, Private,145548, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,175262, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Local-gov,37306, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n58, Private,137547, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n53, Private,276515, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, Cuba, <=50K\n23, Private,174626, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n35, Private,215310, 11th,7, Divorced, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n49, Private,332355, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,204057, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,391591, 12th,8, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,169092, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, >50K\n28, Private,230743, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,190963, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K\n74, ?,204840, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,56, Mexico, <=50K\n19, Private,169853, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,24, United-States, <=50K\n28, Private,212091, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2580,0,40, United-States, <=50K\n31, Private,202822, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n61, ?,226989, Some-college,10, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,140011, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,53, United-States, <=50K\n20, ?,432376, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, Germany, <=50K\n35, Private,90273, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, >50K\n23, Private,224424, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,168943, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K\n19, Private,571853, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n30, Private,156464, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n26, Private,108542, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n34, Local-gov,194325, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n49, Private,114797, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n35, Private,40135, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2042,40, United-States, <=50K\n38, Private,204756, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,228190, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,20, United-States, <=50K\n33, Private,163392, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,48, United-States, >50K\n54, Private,138845, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Local-gov,169853, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Never-worked,206359, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n60, Private,224097, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,160786, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,190044, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n49, Local-gov,145290, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,120268, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,70, United-States, <=50K\n17, Private,327434, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n41, Self-emp-inc,218302, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n30, Private,1184622, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,35, United-States, <=50K\n90, Local-gov,227796, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,60, United-States, >50K\n25, Private,206343, HS-grad,9, Never-married, Protective-serv, Other-relative, White, Male,0,0,40, United-States, <=50K\n27, Private,36851, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n29, Private,148550, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,157079, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, ?, >50K\n31, Federal-gov,142470, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n43, Private,86750, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,99, United-States, <=50K\n63, Private,361631, Masters,14, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n46, Private,163229, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,179594, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,254773, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,50, United-States, >50K\n26, Private,58065, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n26, Private,205428, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n20, ?,41183, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n19, ?,308064, HS-grad,9, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n61, Private,173924, 9th,5, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Puerto-Rico, >50K\n23, State-gov,142547, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,119704, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n35, Private,275364, Bachelors,13, Divorced, Tech-support, Unmarried, White, Male,7430,0,40, Germany, >50K\n42, Self-emp-not-inc,207392, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,12, United-States, <=50K\n31, Private,147215, 12th,8, Divorced, Other-service, Unmarried, White, Female,0,0,21, United-States, <=50K\n31, Private,101562, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,55, United-States, <=50K\n63, Private,216413, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n29, State-gov,188986, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,1590,64, United-States, <=50K\n43, State-gov,52849, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,304710, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,10, Vietnam, <=50K\n17, Private,265657, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n23, Self-emp-not-inc,258298, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,2231,40, United-States, >50K\n35, Private,360814, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n32, Private,53260, HS-grad,9, Divorced, Other-service, Unmarried, Other, Female,0,0,28, United-States, <=50K\n50, Self-emp-inc,127315, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n25, Private,233777, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, ?, <=50K\n26, Local-gov,197530, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,340940, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,88432, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n57, Private,183810, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n90, Private,51744, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,50, United-States, >50K\n35, Private,175614, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K\n31, Self-emp-not-inc,235237, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, >50K\n60, Private,227266, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,33, United-States, <=50K\n21, Private,146499, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,1579,40, United-States, <=50K\n71, Local-gov,337064, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,141003, Assoc-voc,11, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n50, Local-gov,117791, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,172846, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n23, Private,73514, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n74, Private,211075, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n67, Private,197816, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1844,70, United-States, <=50K\n59, Private,43221, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, >50K\n28, Private,183780, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1740,40, United-States, <=50K\n45, Private,26781, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n63, Self-emp-not-inc,271550, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K\n39, Private,250157, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,63, United-States, <=50K\n33, State-gov,913447, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n32, Private,153078, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n34, Private,181091, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K\n39, Private,231491, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n29, State-gov,95423, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,36, United-States, <=50K\n22, Private,234663, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,283602, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,13550,0,43, United-States, >50K\n46, Private,328669, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K\n51, Private,143741, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K\n44, Private,83508, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,2354,0,99, United-States, <=50K\n56, State-gov,81954, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,261375, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n52, Private,310045, 9th,5, Married-spouse-absent, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0,0,30, China, <=50K\n39, Private,316211, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n45, Federal-gov,88564, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n37, Private,61299, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n33, Private,113364, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n35, ?,476573, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K\n46, Private,267107, 5th-6th,3, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,45, Italy, <=50K\n35, Private,48123, 12th,8, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,50, United-States, <=50K\n33, Private,214635, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, <=50K\n48, Private,115585, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,194141, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,50, United-States, <=50K\n18, ?,23233, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,89991, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K\n35, Private,101709, HS-grad,9, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,60, United-States, <=50K\n19, Private,237455, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,25, United-States, <=50K\n21, Private,206492, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, ?, <=50K\n56, Private,28729, 11th,7, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,153475, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, El-Salvador, <=50K\n45, Private,275517, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,128002, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,45, United-States, <=50K\n44, Private,175485, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,12, United-States, <=50K\n55, Private,189664, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,209808, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,176992, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,154669, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,55, United-States, <=50K\n25, Private,191271, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Private,375482, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,102953, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,55, United-States, >50K\n53, Private,169182, 10th,6, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Columbia, <=50K\n47, Private,184005, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,3325,0,45, United-States, <=50K\n49, Self-emp-inc,30751, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n22, Private,145477, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n31, Private,91964, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-inc,49249, Some-college,10, Divorced, Other-service, Unmarried, White, Male,0,0,80, United-States, <=50K\n19, Private,218956, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,241306, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, ?,251572, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,35, Poland, <=50K\n23, Private,319842, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n44, Private,332401, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,65, United-States, >50K\n54, Local-gov,182388, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K\n23, Private,205939, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K\n21, Private,203914, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n19, State-gov,156294, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,25, United-States, <=50K\n51, Private,254211, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, >50K\n41, Private,151504, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n61, Private,85548, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,18, United-States, >50K\n19, Self-emp-not-inc,30800, 10th,6, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n22, Private,131230, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,61850, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Private,227800, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,32, United-States, <=50K\n35, Private,133454, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K\n38, Private,104094, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,105422, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,142182, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n41, Private,336643, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,80, United-States, <=50K\n62, Self-emp-inc,200577, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,208703, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, Japan, <=50K\n55, ?,193895, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, England, <=50K\n25, Private,272428, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,4416,0,42, United-States, <=50K\n33, Private,56701, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,75, United-States, >50K\n26, Private,288592, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,266439, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n53, Federal-gov,276868, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,131435, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Private,175127, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K\n25, Private,277444, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n60, Private,63296, Masters,14, Divorced, Prof-specialty, Other-relative, Black, Male,0,0,40, United-States, <=50K\n28, Private,96337, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,221955, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, Mexico, <=50K\n40, Private,197923, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,2977,0,40, United-States, <=50K\n29, Private,632593, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n20, Private,205970, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,25, United-States, <=50K\n25, Private,139730, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,80, United-States, >50K\n18, Private,201901, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K\n32, State-gov,230224, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K\n27, Private,113464, 1st-4th,2, Never-married, Other-service, Own-child, Other, Male,0,0,35, Dominican-Republic, <=50K\n48, Private,94461, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,16, United-States, <=50K\n20, Private,271379, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n55, Private,231738, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, England, <=50K\n33, Local-gov,198183, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n21, State-gov,140764, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K\n43, Self-emp-not-inc,183479, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n35, Private,165767, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,139364, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n19, Private,227491, HS-grad,9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n25, Private,222254, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n44, Private,193494, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,72, United-States, >50K\n27, Private,29261, Assoc-acdm,12, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n39, Private,174368, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n69, Private,108196, 10th,6, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n34, Private,110622, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n20, ?,201680, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K\n37, Private,130277, 5th-6th,3, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Local-gov,98130, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Female,0,0,39, United-States, <=50K\n62, ?,235521, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,48, United-States, <=50K\n34, State-gov,595000, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, >50K\n31, Self-emp-not-inc,349148, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n42, State-gov,117583, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,8614,0,60, United-States, >50K\n26, Private,164583, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n39, Private,340091, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,75, United-States, <=50K\n25, Private,49092, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Local-gov,186884, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,30, United-States, <=50K\n44, State-gov,167265, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n34, State-gov,34104, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,38, United-States, >50K\n21, Self-emp-inc,265116, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,128378, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,55, ?, <=50K\n33, Private,158416, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-inc,169878, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n44, Private,296728, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n33, Local-gov,342458, Assoc-acdm,12, Divorced, Protective-serv, Not-in-family, White, Male,0,0,56, United-States, <=50K\n21, Local-gov,38771, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,269300, Bachelors,13, Never-married, Other-service, Not-in-family, Black, Female,0,0,60, United-States, <=50K\n43, Private,111483, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K\n57, ?,199114, 10th,6, Separated, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n51, Local-gov,33863, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n29, Private,132874, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,277024, HS-grad,9, Separated, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,112160, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,703067, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n58, Private,127264, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n57, Self-emp-inc,257200, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,57206, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n37, Private,201319, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,114079, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n45, Private,230979, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,292472, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K\n64, ?,286732, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Local-gov,134444, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, <=50K\n30, Private,172403, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n46, Private,191357, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,279288, 10th,6, Never-married, ?, Other-relative, White, Female,0,0,30, United-States, <=50K\n60, Private,389254, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,303867, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,44, United-States, <=50K\n47, Private,164113, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,7688,0,40, United-States, >50K\n39, Private,111499, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,266084, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,45, United-States, >50K\n27, Private,61580, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n44, Private,231348, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,164748, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,205337, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n58, Self-emp-not-inc,54566, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n45, Private,34419, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,30, United-States, <=50K\n59, Private,116442, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,290740, Assoc-acdm,12, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,50, United-States, <=50K\n27, Private,255582, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,112517, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, >50K\n44, Private,169397, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,172664, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n27, Private,329005, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,123253, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n55, Private,81865, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,173314, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,60, United-States, <=50K\n31, Private,34572, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n57, Self-emp-inc,159028, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K\n30, Private,149184, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n78, ?,363134, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,1, United-States, <=50K\n28, Private,308709, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K\n30, Self-emp-not-inc,257295, Some-college,10, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male,0,2258,40, South, <=50K\n29, Private,168479, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n66, Private,142501, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,3, United-States, <=50K\n60, Private,338345, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n31, Private,177675, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,262617, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,2597,0,40, United-States, <=50K\n24, Private,200997, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K\n29, Private,176683, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n44, Private,376072, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n34, Local-gov,177675, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n59, Private,348430, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,43, United-States, >50K\n23, Private,320451, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,24, United-States, <=50K\n23, Private,38151, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,40, Philippines, <=50K\n55, Local-gov,123382, Assoc-voc,11, Separated, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K\n39, Self-emp-inc,151029, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,484475, 11th,7, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n57, Private,329792, 7th-8th,4, Divorced, Transport-moving, Unmarried, White, Male,0,0,75, United-States, <=50K\n35, Private,148903, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Local-gov,301614, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, >50K\n47, Private,176319, HS-grad,9, Married-civ-spouse, Sales, Own-child, White, Female,0,0,38, United-States, >50K\n53, State-gov,53197, Doctorate,16, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,291407, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,25, United-States, <=50K\n35, Private,204527, Masters,14, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n44, Private,476391, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,224964, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n26, Private,306225, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Poland, <=50K\n23, Private,292023, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n32, Private,94041, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, Ireland, <=50K\n49, Self-emp-inc,187563, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n36, Private,176101, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,2174,0,60, United-States, <=50K\n36, Private,749105, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K\n41, ?,230020, 5th-6th,3, Married-civ-spouse, ?, Husband, Other, Male,0,0,40, United-States, <=50K\n21, Private,216070, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0,0,46, United-States, >50K\n54, Self-emp-not-inc,105010, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,198203, Some-college,10, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n35, Local-gov,215419, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,120460, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n46, Private,199316, Some-college,10, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n46, Private,146919, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Private,174744, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n45, ?,189564, Masters,14, Married-civ-spouse, ?, Wife, White, Female,0,0,1, United-States, <=50K\n21, Private,249957, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,146574, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n47, State-gov,156417, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Male,0,0,20, United-States, <=50K\n42, Private,236110, 5th-6th,3, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K\n19, Private,63363, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n25, Private,190107, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,126569, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,176756, 12th,8, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Private,115161, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n57, Self-emp-not-inc,138892, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K\n38, Private,256864, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n48, Private,265083, 10th,6, Divorced, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K\n34, Private,249948, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K\n46, Federal-gov,31141, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,164190, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, ?, <=50K\n45, State-gov,67544, Masters,14, Divorced, Protective-serv, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Self-emp-not-inc,174789, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n35, Private,199753, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K\n62, Private,122246, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,8614,0,39, United-States, >50K\n56, ?,188166, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,96586, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,189590, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,140590, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,33, United-States, <=50K\n35, Private,255702, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,27, United-States, <=50K\n33, Private,260782, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, >50K\n38, Private,169926, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,40, United-States, >50K\n37, State-gov,151322, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Private,192869, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,93604, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,1602,32, United-States, <=50K\n31, Private,86958, 9th,5, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n53, Local-gov,228723, HS-grad,9, Divorced, Craft-repair, Not-in-family, Other, Male,0,0,40, ?, >50K\n33, Private,192644, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,35, Puerto-Rico, <=50K\n72, Private,284080, 1st-4th,2, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n54, Private,43269, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n30, Private,190040, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,306108, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n30, Private,220148, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,50, United-States, >50K\n30, Private,381645, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Private,216361, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,16, United-States, <=50K\n30, Private,213722, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n35, Private,112271, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,208277, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,44, United-States, >50K\n38, State-gov,352628, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,129620, 10th,6, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K\n32, Private,249550, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,44, United-States, <=50K\n49, Private,178749, Masters,14, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n76, ?,173542, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K\n60, Private,167670, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n60, Private,81578, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,160662, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K\n41, Private,163322, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,30, ?, <=50K\n24, Private,152189, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,106176, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7298,0,60, United-States, >50K\n69, State-gov,159191, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,810,38, United-States, <=50K\n71, ?,250263, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,3432,0,30, United-States, <=50K\n41, Private,78410, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n32, Private,131379, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Private,166929, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,380357, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,79190, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n40, Private,342164, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K\n44, Private,182616, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n63, Private,339473, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n31, Local-gov,381153, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,15024,0,56, United-States, >50K\n51, Private,300816, Bachelors,13, Never-married, Adm-clerical, Unmarried, White, Male,0,0,20, United-States, <=50K\n51, Private,240988, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n23, Private,149224, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,168216, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n56, Private,286487, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2885,0,45, United-States, <=50K\n39, Private,305597, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Self-emp-not-inc,109766, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n30, Self-emp-not-inc,188798, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,240170, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, <=50K\n31, Private,459465, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n44, Local-gov,162506, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n43, Self-emp-not-inc,145441, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, >50K\n37, Federal-gov,129573, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,72, ?, >50K\n41, Private,27444, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,46, United-States, >50K\n43, Private,195258, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n47, State-gov,55272, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n38, Self-emp-not-inc,164526, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,2824,45, United-States, >50K\n46, Private,27802, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n19, State-gov,165289, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,274657, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,50, Guatemala, <=50K\n24, Private,317175, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n39, Self-emp-inc,163237, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K\n37, Private,170408, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,30, United-States, <=50K\n28, ?,55950, Bachelors,13, Never-married, ?, Own-child, Black, Female,0,0,40, Germany, <=50K\n40, Private,76625, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n27, Private,366066, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,349368, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n21, Private,286824, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n32, Private,373263, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n20, Private,161978, HS-grad,9, Separated, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,543922, Masters,14, Divorced, Transport-moving, Not-in-family, White, Male,14344,0,48, United-States, >50K\n46, Local-gov,109089, Prof-school,15, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,110151, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n26, Private,34110, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,44, United-States, <=50K\n47, Self-emp-not-inc,118506, Bachelors,13, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0,0,60, United-States, <=50K\n22, Private,117789, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K\n34, Self-emp-not-inc,353881, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n49, Private,200471, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K\n20, Private,258517, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n28, Private,190367, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n30, Private,174704, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n23, Private,179413, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,329530, 9th,5, Never-married, Priv-house-serv, Own-child, White, Male,0,0,40, Mexico, <=50K\n31, Private,273818, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, Mexico, <=50K\n46, Private,256522, 1st-4th,2, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Puerto-Rico, <=50K\n42, Private,196001, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,282660, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,72630, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n27, Private,50295, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n20, Private,203240, 9th,5, Never-married, Sales, Own-child, White, Female,0,0,32, United-States, <=50K\n56, Self-emp-not-inc,172618, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n41, Private,202168, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n61, Private,176839, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,176140, HS-grad,9, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, >50K\n60, Private,39952, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2228,0,37, United-States, <=50K\n33, Private,292465, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n40, ?,161285, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, <=50K\n48, Private,355320, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Canada, >50K\n56, Private,182460, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,69345, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,55, United-States, >50K\n57, Self-emp-not-inc,102058, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,165804, Some-college,10, Never-married, Adm-clerical, Own-child, Other, Female,0,0,40, United-States, <=50K\n46, Private,318259, Assoc-voc,11, Divorced, Tech-support, Other-relative, White, Female,0,0,36, United-States, <=50K\n21, Private,117606, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,170718, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,413297, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,190457, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n54, Private,88278, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n32, Local-gov,217296, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,4064,0,22, United-States, <=50K\n62, ?,97231, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,1, United-States, <=50K\n50, Private,123429, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n49, Federal-gov,420282, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, Private,498325, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,248533, Some-college,10, Never-married, Sales, Other-relative, Black, Female,0,0,40, United-States, <=50K\n46, Private,137354, Masters,14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n42, Private,272910, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, Self-emp-inc,206054, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, Local-gov,92141, Assoc-acdm,12, Widowed, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n37, Private,163199, Some-college,10, Divorced, Tech-support, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n34, Private,195860, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,115717, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,2051,40, United-States, <=50K\n18, Private,120029, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K\n33, Private,221762, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n41, Private,342164, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n21, Private,176356, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n23, Private,133239, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Federal-gov,169101, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n33, Private,159442, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n24, Private,174461, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,45, United-States, <=50K\n43, Private,361280, 10th,6, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,42, China, <=50K\n52, State-gov,447579, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, England, <=50K\n27, ?,308995, Some-college,10, Divorced, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n61, Private,248448, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,161141, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,212465, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n45, Self-emp-inc,170871, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n43, Local-gov,233865, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n51, Private,163052, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,348690, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n47, Federal-gov,34845, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, Germany, >50K\n22, Private,206861, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-inc,349230, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n20, Private,130840, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n19, Private,415354, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,132191, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,202466, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K\n27, ?,224421, Some-college,10, Divorced, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Self-emp-not-inc,236804, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,35, United-States, <=50K\n20, Private,107658, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,10, United-States, <=50K\n47, Private,102771, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,221403, 12th,8, Never-married, Other-service, Own-child, Black, Male,0,0,18, United-States, <=50K\n76, ?,211574, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,1, United-States, <=50K\n39, Private,52645, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,276310, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n31, Private,134613, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,43, United-States, <=50K\n44, Private,215479, HS-grad,9, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,20, Haiti, <=50K\n53, Private,266529, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,265807, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n45, Self-emp-not-inc,67716, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,178951, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,241126, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,176544, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K\n45, Private,169180, Some-college,10, Widowed, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K\n37, Self-emp-not-inc,282461, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n53, Private,157069, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,99357, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,50, United-States, >50K\n38, Self-emp-not-inc,414991, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,70, ?, <=50K\n65, Self-emp-inc,338316, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,59612, 10th,6, Divorced, Farming-fishing, Unmarried, White, Male,0,0,70, United-States, <=50K\n24, Private,220426, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,115912, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,27032, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K\n19, Private,170720, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n60, Private,183162, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,192360, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n78, ?,165694, Masters,14, Widowed, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K\n26, Private,128553, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K\n58, Private,209423, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,38, Cuba, <=50K\n37, Self-emp-not-inc,121510, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,55, United-States, <=50K\n41, Private,93793, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n30, Private,133602, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,391329, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n48, Private,96359, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Greece, >50K\n22, Private,203894, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Female,0,0,24, United-States, <=50K\n50, Private,196193, Masters,14, Married-spouse-absent, Prof-specialty, Other-relative, White, Male,0,0,60, ?, <=50K\n25, Private,195994, 1st-4th,2, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, Guatemala, <=50K\n18, Private,50879, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,6, United-States, <=50K\n21, Private,186849, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,201127, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,110998, HS-grad,9, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Female,0,0,36, United-States, <=50K\n39, Private,190466, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,2174,0,40, United-States, <=50K\n67, Self-emp-not-inc,173935, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,8, United-States, >50K\n19, Private,167140, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,1602,24, United-States, <=50K\n18, Private,110230, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,11, United-States, <=50K\n36, Private,287658, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n23, Private,224954, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,25, United-States, <=50K\n25, ?,394820, Some-college,10, Separated, ?, Unmarried, White, Female,0,0,20, United-States, <=50K\n40, Private,37618, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n73, Self-emp-not-inc,29306, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,37314, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n31, Private,420749, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,482732, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,206215, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,101364, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n66, Self-emp-inc,185369, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n66, Private,216856, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n64, Private,256019, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n48, Private,348144, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,3325,0,53, United-States, <=50K\n24, Private,190293, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,25932, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,176729, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n33, Private,166961, 11th,7, Separated, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n50, Private,86373, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n51, Private,320513, 7th-8th,4, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male,0,0,50, Dominican-Republic, <=50K\n34, State-gov,190290, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n41, Local-gov,111891, 7th-8th,4, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,45796, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,108496, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,2907,0,40, United-States, <=50K\n41, Self-emp-not-inc,120539, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K\n36, Self-emp-not-inc,164526, Masters,14, Never-married, Sales, Not-in-family, White, Male,10520,0,45, United-States, >50K\n37, Private,323155, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,85, Mexico, <=50K\n28, Private,65389, HS-grad,9, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K\n19, Private,414871, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,161607, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n62, Private,224953, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n36, Private,261382, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K\n58, Self-emp-not-inc,231818, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Greece, <=50K\n42, Self-emp-inc,184018, HS-grad,9, Divorced, Sales, Unmarried, White, Male,1151,0,50, United-States, <=50K\n43, Self-emp-inc,133060, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,35032, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, State-gov,304212, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n64, Local-gov,50442, 9th,5, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n39, Private,146091, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K\n26, Private,267431, Bachelors,13, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n19, Private,121240, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n21, Private,192572, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K\n32, Private,211028, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Local-gov,346122, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,5013,0,45, United-States, <=50K\n26, Private,202203, Bachelors,13, Never-married, Adm-clerical, Other-relative, White, Female,0,0,50, United-States, <=50K\n20, Private,159297, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K\n19, Private,310158, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K\n33, Federal-gov,193246, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,42, United-States, >50K\n23, Private,200089, Some-college,10, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, El-Salvador, <=50K\n29, Private,38353, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n42, Private,76280, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,243665, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n63, Private,68872, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K\n34, Private,103596, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,88055, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,24, United-States, <=50K\n48, Private,186203, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,257910, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n27, Private,200227, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,124975, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,27828,0,55, United-States, >50K\n32, Private,227669, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n22, Private,117210, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, Greece, <=50K\n25, Private,76144, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n18, Private,98667, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n24, Local-gov,155818, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,44, United-States, <=50K\n29, Private,283760, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n73, ?,281907, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,3, United-States, <=50K\n39, Private,186183, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n33, Self-emp-inc,202153, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,365683, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, >50K\n22, Private,187538, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, ?,209432, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,20, United-States, <=50K\n33, Private,126950, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n42, Private,110028, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,104660, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Male,0,0,45, United-States, <=50K\n57, Self-emp-not-inc,437281, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, >50K\n42, Private,259643, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n22, Private,217961, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,1719,30, United-States, <=50K\n21, ?,134746, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n42, Self-emp-not-inc,120539, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n39, Private,25803, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n41, Private,63596, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,32, United-States, >50K\n20, Local-gov,325493, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n47, Private,211239, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,206686, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,427965, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n52, Private,218550, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,14084,0,16, United-States, >50K\n71, Private,163385, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,35, United-States, >50K\n52, Private,124993, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,55, United-States, <=50K\n36, Private,107410, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,152373, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, >50K\n37, Private,161226, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, >50K\n26, Private,213799, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,204461, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n35, Private,377798, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n20, Private,116375, 9th,5, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Local-gov,210164, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n56, Self-emp-not-inc,258752, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n39, Private,327435, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, >50K\n24, Private,301199, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,20, United-States, <=50K\n24, Private,186221, 11th,7, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n23, Private,203924, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n27, Private,192236, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n25, Private,152035, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,201454, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,156580, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,37, United-States, >50K\n51, Private,115851, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,106753, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n59, Private,359292, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n29, Private,83003, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n18, Private,78817, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n24, Private,200967, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,36, United-States, <=50K\n38, State-gov,107164, Some-college,10, Separated, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,189674, HS-grad,9, Never-married, Priv-house-serv, Unmarried, Black, Female,0,0,28, ?, <=50K\n34, Self-emp-not-inc,90614, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n42, Self-emp-not-inc,323790, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,70, United-States, >50K\n45, Self-emp-not-inc,242552, 12th,8, Divorced, Craft-repair, Other-relative, Black, Male,0,0,35, United-States, <=50K\n21, Private,90935, Assoc-voc,11, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n64, Self-emp-inc,165667, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,60, Canada, >50K\n32, Private,162604, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,40, United-States, <=50K\n45, Private,205424, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n53, Private,97411, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K\n42, Private,184857, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,16, United-States, <=50K\n32, Private,165226, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Private,115784, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,368476, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,24, Mexico, <=50K\n28, Private,53063, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n29, ?,134566, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n32, Private,153471, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,35, United-States, <=50K\n37, Self-emp-inc,107164, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,0,2559,50, United-States, >50K\n38, Private,180303, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, Japan, >50K\n44, Local-gov,236321, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,25, United-States, <=50K\n19, Private,141868, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n22, ?,367655, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,203518, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Private,119558, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n56, Private,108276, Bachelors,13, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,385452, 10th,6, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,162003, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,349028, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,45114, Bachelors,13, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n44, Private,112797, 9th,5, Divorced, Other-service, Own-child, White, Female,0,0,50, United-States, <=50K\n28, Private,183639, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n35, Private,177121, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n38, Private,239755, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,150361, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,293091, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K\n24, Private,200089, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, Mexico, >50K\n40, Private,91836, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n23, Private,324960, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n79, Local-gov,84616, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,7, United-States, <=50K\n44, Private,252930, 10th,6, Divorced, Adm-clerical, Unmarried, Other, Female,0,0,42, United-States, <=50K\n51, Private,44000, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999,0,50, United-States, >50K\n30, Private,154843, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,99307, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,3103,0,48, United-States, >50K\n41, Private,182567, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K\n33, Private,93206, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n50, Private,100109, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, United-States, >50K\n51, Private,114927, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, United-States, >50K\n41, Private,121287, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,189916, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, >50K\n34, Private,157747, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n28, Private,39232, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n31, Self-emp-inc,133861, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,505980, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n67, ?,183374, HS-grad,9, Widowed, ?, Not-in-family, White, Female,2329,0,15, United-States, <=50K\n65, Private,193216, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,9386,0,40, United-States, >50K\n39, Self-emp-not-inc,140752, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,549349, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,179008, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n57, Self-emp-not-inc,190554, 10th,6, Divorced, Exec-managerial, Own-child, White, Male,0,0,60, United-States, >50K\n47, Private,80924, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n51, Local-gov,319054, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,60, United-States, <=50K\n34, Private,297094, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n52, Private,170562, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n29, Private,240738, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,297544, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Local-gov,169905, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,149637, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,182526, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,158315, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n61, Self-emp-inc,227232, Bachelors,13, Separated, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n34, Private,96483, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,8614,0,60, United-States, >50K\n41, Private,286970, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n27, Local-gov,223529, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Male,0,0,43, United-States, <=50K\n78, Self-emp-not-inc,316261, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,99999,0,20, United-States, >50K\n40, Private,170214, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n26, Self-emp-not-inc,224361, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,75, United-States, <=50K\n43, Private,124919, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,60, Japan, <=50K\n55, ?,103654, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n25, Private,306352, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Mexico, <=50K\n26, Self-emp-not-inc,227858, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,48, United-States, <=50K\n43, Self-emp-inc,150533, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, >50K\n25, Private,144478, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, Poland, <=50K\n22, Private,254547, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,30, Jamaica, <=50K\n52, Self-emp-not-inc,313243, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n61, Private,149981, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,2414,0,5, United-States, <=50K\n42, Private,125461, Bachelors,13, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n21, Private,306967, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,192976, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n65, Private,192133, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2290,0,40, Greece, <=50K\n56, ?,131608, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,10, United-States, <=50K\n33, Federal-gov,339388, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n22, Private,203240, 10th,6, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,83827, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,24, United-States, <=50K\n45, Self-emp-inc,160440, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K\n42, Private,108502, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,42, United-States, <=50K\n37, Private,410913, HS-grad,9, Married-spouse-absent, Farming-fishing, Unmarried, Other, Male,0,0,40, Mexico, <=50K\n56, Private,193818, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, ?,163582, 10th,6, Divorced, ?, Unmarried, White, Female,0,0,16, ?, <=50K\n40, Private,103789, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,32, United-States, <=50K\n31, Private,34572, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n26, Private,43408, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n26, State-gov,105787, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-inc,90693, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n45, Self-emp-not-inc,285575, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n47, Local-gov,56482, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7688,0,50, United-States, >50K\n22, Private,496025, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n33, Private,382764, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,259284, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n48, Self-emp-not-inc,185385, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,98, United-States, <=50K\n57, Self-emp-not-inc,286836, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,8, United-States, <=50K\n47, Private,139145, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n58, Local-gov,44246, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,169611, 11th,7, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Private,133403, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n29, Private,187327, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,180032, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,46561, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n23, Private,86065, 12th,8, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n46, Self-emp-not-inc,256014, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n30, Private,188403, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,396758, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,70, United-States, >50K\n25, Private,60485, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n32, Private,271276, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, >50K\n56, Private,229525, 9th,5, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Private,34574, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,43, United-States, <=50K\n19, State-gov,112432, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K\n20, Private,105312, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,18, United-States, <=50K\n34, Private,221396, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,304872, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,319733, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,176012, 9th,5, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,23, United-States, <=50K\n31, Private,213750, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n30, Private,248384, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,351187, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n51, Private,138179, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,1876,40, United-States, <=50K\n59, Private,50223, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,117477, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,36, United-States, <=50K\n40, Private,194360, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,118108, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n25, Local-gov,90730, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K\n18, Self-emp-inc,38307, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,30, United-States, <=50K\n41, Private,116391, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,210496, 10th,6, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,168475, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,174386, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K\n39, Private,166744, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K\n19, Private,375114, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,373469, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,339667, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,41, United-States, <=50K\n39, Private,91711, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,82049, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,236242, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n57, Self-emp-inc,140319, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n33, Local-gov,34080, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,204816, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n60, Private,187124, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,72310, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K\n58, Private,175127, 12th,8, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K\n48, Federal-gov,205707, Masters,14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,10520,0,50, United-States, >50K\n45, Local-gov,236586, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,55, United-States, >50K\n18, Private,71792, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n56, Private,87584, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-inc,136878, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n40, Private,287983, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,2258,48, Philippines, <=50K\n38, Private,110607, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K\n58, Private,109015, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,235071, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,50, United-States, <=50K\n63, Private,88653, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K\n51, Private,332243, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n22, ?,291547, 5th-6th,3, Married-civ-spouse, ?, Wife, Other, Female,0,0,40, Mexico, <=50K\n44, Private,45093, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n46, Federal-gov,161337, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n64, State-gov,211222, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,295117, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, England, >50K\n31, Private,206541, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,238415, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n21, Private,29810, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n30, Private,108023, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,114324, Assoc-voc,11, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n54, Private,172281, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2051,50, United-States, <=50K\n59, Local-gov,197290, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n28, Local-gov,191177, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K\n57, Private,562558, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,79531, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n53, Self-emp-inc,157881, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n58, Self-emp-not-inc,204816, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n19, Private,185695, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n39, Self-emp-inc,167482, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n31, Self-emp-inc,83748, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,70, South, <=50K\n27, Private,39232, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,236827, 9th,5, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,154410, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,135308, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n33, Private,204042, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K\n20, Private,308239, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n55, Private,183884, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n39, Private,98948, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,141642, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,162623, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Self-emp-inc,186934, Bachelors,13, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,179512, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n25, Private,391192, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,24, United-States, <=50K\n31, Private,87054, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n51, Private,30008, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n24, Private,113466, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n70, Private,642830, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Female,0,0,32, United-States, <=50K\n23, Private,182117, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n61, Private,162432, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,242184, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n47, Private,170850, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,4064,0,60, United-States, <=50K\n56, Private,435022, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n79, Private,120707, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,35, El-Salvador, >50K\n20, Private,170800, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n30, Private,268575, HS-grad,9, Never-married, Craft-repair, Unmarried, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n27, Private,269354, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, ?, <=50K\n40, Private,224232, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n60, ?,153072, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,5, United-States, <=50K\n58, Private,177368, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n71, Self-emp-not-inc,163293, Prof-school,15, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,2, United-States, <=50K\n50, Private,178530, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n29, Local-gov,183523, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, Iran, <=50K\n33, Private,207267, 10th,6, Separated, Other-service, Unmarried, White, Female,3418,0,35, United-States, <=50K\n60, State-gov,27037, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K\n33, Private,176711, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n43, Private,163215, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, ?, >50K\n33, Private,394727, 10th,6, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K\n33, Private,195488, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,52, United-States, <=50K\n32, State-gov,443546, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, <=50K\n21, Private,121023, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,9, United-States, <=50K\n38, Private,51838, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n38, Private,258888, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n39, State-gov,189385, Some-college,10, Separated, Exec-managerial, Unmarried, Black, Female,0,0,30, United-States, <=50K\n17, Private,198146, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n21, Private,337766, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,210525, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, >50K\n42, Private,185602, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n36, Private,173804, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,251243, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n37, Self-emp-not-inc,415847, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,119793, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,181705, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,182360, HS-grad,9, Separated, Prof-specialty, Unmarried, Other, Female,0,0,60, Puerto-Rico, <=50K\n49, Private,61885, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,146520, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,323790, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,146268, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Federal-gov,287031, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,8614,0,40, United-States, >50K\n33, Local-gov,292217, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, Private,88126, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,143046, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,401623, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, Jamaica, >50K\n36, Self-emp-not-inc,283122, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1902,60, United-States, >50K\n84, Self-emp-not-inc,155057, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K\n23, Private,260254, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,152292, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n55, Self-emp-inc,138594, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K\n30, Self-emp-not-inc,523095, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n46, Private,175262, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n55, Private,323706, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K\n34, Private,316470, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,163815, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n27, Private,72208, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n52, Local-gov,74784, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n36, Private,383518, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,99999,0,40, United-States, >50K\n25, Self-emp-not-inc,266668, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Private,347519, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n24, Private,336088, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,50, United-States, <=50K\n36, Private,190350, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n31, Private,204052, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n66, ?,31362, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n90, Self-emp-not-inc,155981, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,10566,0,50, United-States, <=50K\n67, Private,195161, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,60, United-States, >50K\n22, Self-emp-inc,269583, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,2580,0,40, United-States, <=50K\n47, Private,26994, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n32, Private,116539, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,55, United-States, >50K\n55, Self-emp-not-inc,189933, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,101283, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,35, United-States, <=50K\n48, Private,113598, Some-college,10, Separated, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K\n21, Private,188793, HS-grad,9, Married-civ-spouse, Sales, Husband, Other, Male,0,0,35, United-States, <=50K\n33, Private,109996, Assoc-acdm,12, Married-spouse-absent, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,195681, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,48, ?, <=50K\n47, Private,436770, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,84253, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n44, Self-emp-inc,383493, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,216867, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,37, Mexico, <=50K\n18, Private,401051, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n56, Private,83196, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,325596, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K\n43, Private,187322, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,193949, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,60, United-States, <=50K\n26, Private,133373, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,42, United-States, <=50K\n42, Private,113324, HS-grad,9, Widowed, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n23, Private,178818, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Self-emp-not-inc,152810, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,335997, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,55, United-States, >50K\n40, Private,436493, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n27, Private,704108, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n24, Local-gov,150084, Some-college,10, Separated, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, <=50K\n42, Private,341204, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Female,0,0,40, United-States, <=50K\n41, Private,187336, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,204209, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K\n42, Self-emp-not-inc,206066, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, <=50K\n38, Private,63509, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n63, Self-emp-not-inc,391121, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n31, Private,56026, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Self-emp-not-inc,60981, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,4, United-States, <=50K\n21, Private,228255, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n24, Private,86745, Bachelors,13, Married-civ-spouse, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n55, Private,234327, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,59948, 9th,5, Never-married, Adm-clerical, Unmarried, Black, Female,114,0,20, United-States, <=50K\n31, Private,137814, Some-college,10, Divorced, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n23, Private,167692, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n35, Private,245090, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n51, Self-emp-not-inc,256963, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n19, Private,160033, Some-college,10, Never-married, Protective-serv, Own-child, White, Female,0,0,30, United-States, <=50K\n38, Local-gov,289430, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,56, United-States, <=50K\n52, Local-gov,305053, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, United-States, <=50K\n70, Self-emp-not-inc,172370, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K\n53, Private,320510, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Private,171355, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,65027, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,43, United-States, <=50K\n18, Private,215190, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n41, ?,149385, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n19, ?,169324, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,10, United-States, <=50K\n24, Private,138938, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,557082, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n32, Private,273287, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K\n34, Self-emp-not-inc,77209, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,60, United-States, >50K\n35, Private,317153, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,95469, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,45, United-States, >50K\n18, Private,302859, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n37, Private,333651, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,42, United-States, <=50K\n30, Private,177596, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K\n40, Self-emp-inc,157240, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,30, Iran, >50K\n22, Private,184779, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Local-gov,138358, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,28, United-States, <=50K\n70, Private,176285, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,23, United-States, <=50K\n43, Private,102180, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n77, Self-emp-not-inc,209507, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,229741, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,324546, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,39, United-States, <=50K\n51, Private,337195, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,50, United-States, >50K\n58, State-gov,194068, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n22, Private,250647, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,12, United-States, <=50K\n33, Private,477106, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,104329, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,224566, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n32, Private,169841, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,55, United-States, <=50K\n41, Private,42563, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,25, United-States, >50K\n37, Private,31368, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,132755, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n50, Private,279129, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n31, ?,86143, HS-grad,9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n54, State-gov,44172, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K\n23, State-gov,93076, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n40, Private,146653, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n29, Private,221366, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,40, Germany, <=50K\n38, Private,189404, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,35, ?, <=50K\n30, Private,172304, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n20, Private,116666, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,8, India, <=50K\n43, Self-emp-not-inc,64112, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,55718, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,25, United-States, <=50K\n39, Private,126675, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n48, Private,102112, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n41, Self-emp-not-inc,226505, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,211527, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n20, Private,175069, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, Yugoslavia, <=50K\n25, Private,25249, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Private,73411, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,207185, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, Puerto-Rico, >50K\n66, Private,127139, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,41809, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,297449, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,14084,0,40, United-States, >50K\n46, Private,141483, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n42, Local-gov,117227, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K\n46, Private,377401, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,70, Canada, >50K\n34, Local-gov,167063, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,253759, Some-college,10, Married-civ-spouse, Tech-support, Wife, Black, Female,0,0,40, United-States, <=50K\n42, Private,183096, Some-college,10, Divorced, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,269654, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K\n70, ?,293076, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n32, Private,34104, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n46, Federal-gov,80057, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Germany, >50K\n42, Self-emp-inc,369781, 7th-8th,4, Divorced, Craft-repair, Unmarried, White, Male,0,0,25, United-States, <=50K\n21, Private,223811, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,163053, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,189461, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,55, United-States, <=50K\n50, Local-gov,145166, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n37, Private,86310, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n19, ?,263224, 11th,7, Never-married, ?, Unmarried, White, Female,0,0,30, United-States, <=50K\n44, Federal-gov,280362, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,301031, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n30, Private,74966, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,24, United-States, <=50K\n36, Private,254493, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n49, Self-emp-not-inc,204241, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n29, Private,225024, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Local-gov,148222, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n75, State-gov,113868, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,20, United-States, >50K\n42, Private,132633, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, ?, <=50K\n37, Private,44780, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,86373, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,25, United-States, <=50K\n61, Local-gov,176753, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, <=50K\n33, Private,164707, Assoc-acdm,12, Never-married, Exec-managerial, Unmarried, White, Female,2174,0,55, ?, <=50K\n50, Local-gov,370733, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n59, Private,216851, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,137951, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n22, Private,185279, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K\n56, Private,159724, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,103233, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n35, Private,63509, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n57, Private,174353, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,168109, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024,0,50, United-States, >50K\n27, Private,159724, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,105010, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2051,20, United-States, <=50K\n30, Private,179112, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Male,0,0,40, ?, <=50K\n46, Private,364913, 11th,7, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n48, Self-emp-inc,155664, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n61, Private,230568, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K\n33, Private,86492, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,87, United-States, <=50K\n40, Private,71305, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,189933, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n46, Self-emp-inc,191978, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2392,50, United-States, >50K\n35, Private,38948, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n51, Self-emp-inc,139127, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n37, Private,301568, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n64, Private,149044, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,2057,60, China, <=50K\n41, Private,197344, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,54, United-States, <=50K\n18, Private,32244, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,594,0,30, United-States, <=50K\n44, Self-emp-not-inc,315406, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,88, United-States, <=50K\n41, State-gov,47170, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Amer-Indian-Eskimo, Female,0,0,48, United-States, >50K\n33, State-gov,208785, Some-college,10, Separated, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K\n37, Private,196338, 9th,5, Separated, Priv-house-serv, Unmarried, White, Female,0,0,16, Mexico, <=50K\n34, Private,269243, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Federal-gov,215115, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, ?, <=50K\n20, Private,117767, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,176101, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,138283, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Self-emp-not-inc,132320, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,45, United-States, <=50K\n22, Federal-gov,471452, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,8, United-States, <=50K\n55, Private,147653, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,73, United-States, <=50K\n20, Private,49179, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n26, Private,174921, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Self-emp-inc,95997, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,70, United-States, <=50K\n40, Private,247245, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,67072, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n54, ?,95329, Some-college,10, Divorced, ?, Own-child, White, Male,0,0,50, United-States, <=50K\n24, Private,107882, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,241825, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,46, United-States, <=50K\n18, Private,79443, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K\n49, Self-emp-not-inc,233059, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n17, Private,226980, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,17, United-States, <=50K\n34, Self-emp-not-inc,181087, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n37, Private,305597, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n49, Federal-gov,311671, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n74, Private,129879, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,15831,0,40, United-States, >50K\n37, Private,83375, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,115824, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1573,40, United-States, <=50K\n40, Private,141657, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, >50K\n34, Private,50276, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,27828,0,40, United-States, >50K\n30, Private,177216, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,1740,40, Haiti, <=50K\n44, Private,228057, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, Puerto-Rico, <=50K\n40, Private,222848, 10th,6, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,32, United-States, <=50K\n58, Private,121111, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, Greece, <=50K\n44, Private,298885, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,149909, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, >50K\n39, Private,387430, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,18, United-States, <=50K\n19, Private,121972, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n41, Private,280167, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,70, United-States, >50K\n29, State-gov,191355, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Federal-gov,112115, Some-college,10, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n38, ?,104094, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K\n27, Private,211032, Preschool,1, Married-civ-spouse, Farming-fishing, Other-relative, White, Male,41310,0,24, Mexico, <=50K\n54, Private,199307, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,48, United-States, <=50K\n40, Private,205175, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,37, United-States, <=50K\n19, Private,257750, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,25, United-States, <=50K\n17, Private,191260, 11th,7, Never-married, Other-service, Own-child, White, Male,594,0,10, United-States, <=50K\n33, Private,342730, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, <=50K\n80, Private,249983, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n24, Self-emp-not-inc,161508, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n28, Private,338376, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,334308, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K\n21, Private,133471, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,129177, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n19, Private,178811, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n42, Private,178537, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n60, Self-emp-not-inc,235535, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n20, ?,298155, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n51, Private,145114, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,194096, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n37, State-gov,191779, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,159732, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,52, United-States, <=50K\n42, Federal-gov,170230, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,14084,0,60, United-States, >50K\n40, Private,104719, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,163083, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,403552, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,32, United-States, <=50K\n62, Private,218009, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1977,60, United-States, >50K\n47, Private,179313, 10th,6, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n26, Private,51961, 12th,8, Never-married, Sales, Other-relative, Black, Male,0,0,51, United-States, <=50K\n59, Private,426001, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,20, Puerto-Rico, <=50K\n70, Local-gov,176493, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,17, United-States, <=50K\n26, Private,124068, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n47, Private,108510, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K\n25, Private,181528, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K\n52, Self-emp-inc,173754, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K\n46, Private,169699, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n67, Private,126849, 10th,6, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,20, United-States, <=50K\n34, Private,204470, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n53, State-gov,116367, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,4650,0,40, United-States, <=50K\n22, Private,117363, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n39, Local-gov,106297, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Male,0,0,42, United-States, <=50K\n54, Self-emp-not-inc,108933, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n24, Private,190143, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,246677, HS-grad,9, Separated, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K\n38, Private,175360, 10th,6, Never-married, Prof-specialty, Not-in-family, White, Male,0,2559,90, United-States, >50K\n41, Local-gov,210259, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n36, Private,166304, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,33, United-States, <=50K\n43, Private,303051, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n39, Private,49308, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,192262, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K\n49, Local-gov,192349, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,4650,0,40, United-States, <=50K\n37, Self-emp-not-inc,48063, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n43, Private,170214, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n54, Federal-gov,51048, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n53, Self-emp-inc,246562, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, >50K\n57, Local-gov,215175, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n28, Private,114967, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,464536, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,451996, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,138852, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, State-gov,353012, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-inc,321822, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,75, United-States, >50K\n50, Self-emp-not-inc,324506, HS-grad,9, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,48, South, <=50K\n36, Private,162256, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Local-gov,356689, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,260199, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n36, Private,103605, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,316211, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,308691, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n39, Private,194404, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n18, Private,334427, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,36, United-States, <=50K\n33, Private,213226, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n35, Private,342824, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,1151,0,40, United-States, <=50K\n23, Private,33105, Some-college,10, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n37, Private,147638, Bachelors,13, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,36, Philippines, <=50K\n25, Private,315643, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n51, Federal-gov,106257, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, <=50K\n35, Private,342768, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,108960, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n66, ?,168071, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n32, Private,136935, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,13, United-States, <=50K\n37, Self-emp-not-inc,188774, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,0,55, United-States, >50K\n29, Private,280344, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,202496, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,37, United-States, <=50K\n61, Self-emp-inc,134768, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,175686, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,194748, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,0,0,49, United-States, <=50K\n49, Private,61307, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,38, United-States, <=50K\n51, Self-emp-not-inc,165001, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,25236,0,50, United-States, >50K\n34, Private,325658, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n28, ?,201844, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K\n20, Private,505980, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,185336, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,37, United-States, <=50K\n49, Self-emp-inc,362795, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,99999,0,80, Mexico, >50K\n26, Private,126829, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n63, Private,264600, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n36, Private,82743, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, White, Male,0,0,55, Iran, <=50K\n63, Self-emp-not-inc,125178, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,128487, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,10, United-States, <=50K\n40, Private,321758, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,128220, 7th-8th,4, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n49, Private,176814, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Canada, <=50K\n35, Private,188069, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,13550,0,55, ?, >50K\n23, State-gov,156423, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n25, Private,169905, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,27828,0,40, United-States, >50K\n34, ?,157289, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,176972, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n44, Self-emp-not-inc,171424, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,2205,35, United-States, <=50K\n33, Private,91811, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,203924, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,2597,0,45, United-States, <=50K\n55, Private,177484, 11th,7, Married-civ-spouse, Other-service, Husband, Black, Male,0,1672,40, United-States, <=50K\n17, ?,454614, 11th,7, Never-married, ?, Own-child, White, Female,0,0,8, United-States, <=50K\n75, Self-emp-not-inc,242108, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,2346,0,15, United-States, <=50K\n61, Private,132972, 9th,5, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n53, Private,157947, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Local-gov,177482, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K\n48, Private,246891, Some-college,10, Widowed, Sales, Unmarried, White, Male,0,0,50, United-States, >50K\n28, State-gov,158834, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n30, ?,203834, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,50, Taiwan, <=50K\n29, Private,110442, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,240676, Some-college,10, Divorced, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Private,192939, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,260696, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,55, United-States, <=50K\n40, Local-gov,55363, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,144949, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n55, Private,116878, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,30, United-States, >50K\n31, Local-gov,357954, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,20, United-States, <=50K\n21, ?,170038, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,190290, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Italy, <=50K\n26, State-gov,203279, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,2463,0,50, India, <=50K\n26, Private,167761, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n44, Private,138845, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,144844, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,52, United-States, >50K\n21, ?,161930, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,1504,30, United-States, <=50K\n26, Private,55743, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,30, United-States, <=50K\n40, Self-emp-not-inc,117721, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n19, Self-emp-not-inc,116385, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Private,301867, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,238913, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n28, Self-emp-not-inc,123983, Some-college,10, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Male,0,0,63, South, <=50K\n26, Private,165510, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n64, Private,183513, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n42, Self-emp-inc,119281, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n41, Private,152629, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,110171, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,211440, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n41, Local-gov,359259, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,125796, 11th,7, Separated, Other-service, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K\n34, Private,39609, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,111567, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,45, Germany, >50K\n23, Private,44064, Some-college,10, Separated, Other-service, Not-in-family, White, Male,0,2559,40, United-States, >50K\n35, Self-emp-not-inc,120066, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n41, Private,132633, 11th,7, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,25, Guatemala, <=50K\n39, Private,192702, Masters,14, Never-married, Craft-repair, Not-in-family, White, Female,0,0,50, United-States, <=50K\n41, Private,166813, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n33, Self-emp-inc,40444, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,290504, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n25, Private,178505, Some-college,10, Never-married, Exec-managerial, Other-relative, White, Female,0,1504,45, United-States, <=50K\n25, Private,175370, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n77, Self-emp-not-inc,72931, 7th-8th,4, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,20, Italy, >50K\n33, ?,234542, Assoc-voc,11, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n66, Private,284021, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,277974, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n44, Private,111275, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K\n45, Self-emp-inc,191776, Masters,14, Divorced, Sales, Unmarried, White, Female,25236,0,42, United-States, >50K\n28, Private,125527, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n19, Private,38294, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,2597,0,40, United-States, <=50K\n43, Private,313022, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,4386,0,40, United-States, >50K\n39, Private,179668, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,40, United-States, >50K\n33, Private,198660, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n44, Private,216116, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K\n62, Private,200922, 7th-8th,4, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,153372, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n41, Private,406603, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,6, Iran, <=50K\n23, Local-gov,248344, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n48, Private,240629, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, >50K\n38, Private,314310, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n37, Private,259785, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n45, Private,127111, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n29, Private,178272, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n66, Local-gov,75134, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,25, United-States, <=50K\n19, Private,195985, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n23, Private,221955, 9th,5, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,39, Mexico, <=50K\n34, Private,177675, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,182828, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n33, Self-emp-not-inc,270889, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n43, Private,183096, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,10, United-States, <=50K\n27, Private,336951, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, <=50K\n33, State-gov,295589, Some-college,10, Separated, Adm-clerical, Own-child, Black, Male,0,0,35, United-States, <=50K\n26, Private,289980, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, Mexico, <=50K\n56, Self-emp-inc,70720, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,27828,0,60, United-States, >50K\n46, Private,163352, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,36, United-States, <=50K\n38, Private,190776, Assoc-acdm,12, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n90, Private,313986, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n72, Self-emp-inc,473748, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, >50K\n20, Private,163003, HS-grad,9, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K\n29, Private,183061, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K\n49, Private,123584, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,75, United-States, <=50K\n23, Private,120910, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n20, Private,227554, Some-college,10, Married-spouse-absent, Sales, Own-child, Black, Female,0,0,18, United-States, <=50K\n57, Private,182677, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,4508,0,40, South, <=50K\n46, Private,214955, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,209768, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,258120, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,55, Jamaica, <=50K\n49, Private,110015, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Greece, <=50K\n54, Private,152652, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n46, Federal-gov,43206, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,50, United-States, >50K\n31, Self-emp-not-inc,114639, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n43, Self-emp-inc,221172, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K\n18, ?,128538, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,6, United-States, <=50K\n19, Private,131615, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,353824, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,178417, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Private,178644, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,271665, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n37, ?,223732, Some-college,10, Separated, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n21, Federal-gov,169003, 12th,8, Never-married, Adm-clerical, Own-child, Black, Male,0,0,25, United-States, <=50K\n52, State-gov,338816, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,70, United-States, >50K\n34, Private,506858, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, >50K\n28, Private,265628, Assoc-voc,11, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,173495, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,177413, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,31670, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K\n49, Private,154451, 11th,7, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,35, United-States, <=50K\n35, Private,265535, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,50, Jamaica, >50K\n31, Private,118941, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n18, Private,214617, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n47, Local-gov,265097, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,4386,0,40, United-States, >50K\n46, Private,276087, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,5013,0,50, United-States, <=50K\n43, Private,124692, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n51, Federal-gov,306784, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, United-States, >50K\n21, Private,434102, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, ?,387641, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n31, State-gov,181824, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,35, United-States, >50K\n39, Local-gov,177907, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,40, United-States, >50K\n58, Private,87329, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K\n36, Private,263130, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,262882, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n31, Private,37546, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,35, United-States, >50K\n19, Private,27433, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,393945, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,36, United-States, <=50K\n26, Private,173927, Assoc-voc,11, Never-married, Prof-specialty, Own-child, Other, Female,0,0,60, Jamaica, <=50K\n38, Private,343403, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, <=50K\n36, Private,111128, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n40, Private,193882, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,310864, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, ?, <=50K\n41, Private,128354, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,25, United-States, >50K\n33, Private,113364, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n63, ?,198559, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K\n51, Private,136913, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,115488, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,154227, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,279667, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n30, Self-emp-not-inc,281030, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,66, United-States, <=50K\n19, Private,283945, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K\n47, Private,454989, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n26, Private,391349, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, State-gov,166704, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,14, United-States, <=50K\n36, Private,151835, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, >50K\n60, Private,199085, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,61487, HS-grad,9, Never-married, Prof-specialty, Unmarried, Black, Male,0,0,40, United-States, <=50K\n19, Private,120251, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,14, United-States, <=50K\n42, Private,273230, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,90, United-States, <=50K\n36, Private,358373, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Female,0,0,36, United-States, <=50K\n35, Private,267891, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,38, United-States, <=50K\n22, Private,234880, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n54, Private,48358, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,96452, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n55, Private,204751, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n57, Private,375868, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,413373, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,36, United-States, <=50K\n24, Private,537222, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n35, Local-gov,33975, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n51, Self-emp-inc,162327, 11th,7, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,182691, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Male,0,0,44, United-States, <=50K\n36, Private,300829, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,42, United-States, <=50K\n51, Local-gov,114508, 9th,5, Separated, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n46, Self-emp-inc,214627, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n42, Private,129684, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Black, Female,5455,0,50, United-States, <=50K\n25, State-gov,120041, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,361138, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,50, United-States, <=50K\n37, Private,76893, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,205424, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,40, United-States, >50K\n61, Private,176839, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n40, Private,229148, 12th,8, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, Jamaica, <=50K\n58, Self-emp-inc,154537, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,20, United-States, >50K\n52, Private,181901, HS-grad,9, Married-spouse-absent, Farming-fishing, Other-relative, White, Male,0,0,20, Mexico, <=50K\n18, Private,152004, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n27, Private,205188, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,30840, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,45, United-States, <=50K\n63, Private,66634, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,16, United-States, <=50K\n38, Self-emp-not-inc,180220, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,291052, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,2051,40, United-States, <=50K\n40, Self-emp-not-inc,99651, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n41, Private,327723, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,32291, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,2174,0,40, United-States, <=50K\n31, Private,345122, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,14084,0,50, United-States, >50K\n32, Private,127384, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n30, Private,363296, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,72, United-States, <=50K\n39, Local-gov,86551, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1876,40, United-States, <=50K\n28, Private,30070, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n31, Private,595000, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Female,0,0,35, United-States, <=50K\n21, ?,152328, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n33, ?,177824, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, State-gov,111483, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,199555, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,25, United-States, <=50K\n42, Private,50018, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K\n36, Private,218490, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n39, Private,49020, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,1974,40, United-States, <=50K\n61, Private,213321, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,40, United-States, <=50K\n31, Private,159187, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,83033, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, Germany, <=50K\n39, Self-emp-not-inc,31848, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,2829,0,90, United-States, <=50K\n34, Self-emp-not-inc,24961, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K\n21, Private,182117, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n75, Self-emp-not-inc,146576, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Male,0,0,48, United-States, >50K\n21, Private,176690, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K\n81, Private,122651, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K\n54, Self-emp-inc,149650, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, Canada, <=50K\n34, Private,454508, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, Iran, <=50K\n54, Self-emp-not-inc,269068, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999,0,50, Philippines, >50K\n41, Private,266530, HS-grad,9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,45, United-States, <=50K\n61, ?,198542, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n63, Private,133144, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,2580,0,20, United-States, <=50K\n24, Private,217961, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,221661, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Mexico, <=50K\n44, Local-gov,60735, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Female,0,0,60, United-States, <=50K\n47, Self-emp-not-inc,121124, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,48588, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,48087, 7th-8th,4, Divorced, Craft-repair, Not-in-family, White, Male,0,1590,40, United-States, <=50K\n53, Self-emp-not-inc,240138, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n63, Private,273010, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,3471,0,40, United-States, <=50K\n44, Private,104196, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n37, Private,230035, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, >50K\n28, Private,38918, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Germany, >50K\n71, ?,205011, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K\n57, Private,176079, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,180052, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K\n33, Local-gov,173005, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1848,45, United-States, >50K\n30, Private,378723, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,55, United-States, <=50K\n20, Private,233624, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,192591, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n54, Private,249860, 11th,7, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,10, United-States, <=50K\n20, Private,247564, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n34, Private,238912, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,190227, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n29, State-gov,293287, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Private,180807, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,250217, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,70, United-States, <=50K\n19, Private,217418, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,38, United-States, <=50K\n22, Local-gov,137510, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n59, State-gov,163047, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n18, Private,577521, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,13, United-States, <=50K\n22, Private,221533, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n42, Local-gov,255675, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,114079, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,155781, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,243762, 11th,7, Separated, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,113062, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,7, United-States, <=50K\n67, Private,217028, Masters,14, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,110723, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n47, Federal-gov,191858, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,179423, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,5, United-States, <=50K\n20, Private,339588, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Peru, <=50K\n22, Private,206815, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, Peru, <=50K\n47, State-gov,103743, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,235683, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n64, ?,207321, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n35, State-gov,197495, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n52, Federal-gov,424012, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,178469, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n73, Self-emp-inc,92886, 10th,6, Widowed, Sales, Unmarried, White, Female,0,0,40, Canada, <=50K\n38, Self-emp-not-inc,214008, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n59, Self-emp-not-inc,325732, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,52, United-States, >50K\n35, Private,28572, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,35, United-States, <=50K\n18, Private,118376, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n24, Private,51799, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n33, Local-gov,115488, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,190621, Some-college,10, Divorced, Exec-managerial, Other-relative, Black, Female,0,0,55, United-States, <=50K\n55, Private,193568, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,192878, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,264663, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,60, United-States, <=50K\n22, Private,234731, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,308373, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n45, Private,205644, HS-grad,9, Separated, Tech-support, Not-in-family, White, Female,0,0,26, United-States, <=50K\n47, Local-gov,321851, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n56, Private,206399, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,124563, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n32, State-gov,198211, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K\n17, Private,130795, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n44, Private,71269, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Self-emp-not-inc,319280, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,80, United-States, <=50K\n35, Private,125933, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n27, Private,107236, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,32732, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n68, Private,284763, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K\n20, Private,112668, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n33, Private,376483, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n24, Private,402778, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n48, Private,36177, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n45, Private,125489, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n48, Private,304791, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,209205, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n60, ?,112821, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, >50K\n39, Local-gov,178100, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,70261, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n23, State-gov,186634, 12th,8, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,32958, Some-college,10, Separated, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n25, Private,254746, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n52, Private,158746, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,140854, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,51506, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,189564, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,42, United-States, >50K\n37, Federal-gov,325538, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n58, Private,213975, Assoc-voc,11, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n67, Self-emp-not-inc,431426, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,2, United-States, <=50K\n48, Private,199763, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,8, United-States, <=50K\n63, Private,161563, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n24, Local-gov,252024, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K\n43, Private,43945, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,178487, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K\n32, Private,604506, HS-grad,9, Married-civ-spouse, Transport-moving, Own-child, White, Male,0,0,72, Mexico, <=50K\n36, Private,228157, Some-college,10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K\n43, Private,199191, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n27, Private,189775, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n17, Private,171080, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n45, Private,117310, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,46, United-States, <=50K\n41, Self-emp-inc,82049, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,126094, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K\n18, ?,202516, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n48, Local-gov,246392, Assoc-acdm,12, Separated, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n51, ?,69328, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,292803, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n54, Private,286989, Preschool,1, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n22, Private,190483, Some-college,10, Divorced, Sales, Own-child, White, Female,0,0,48, Iran, <=50K\n19, Private,235849, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,35, United-States, <=50K\n47, Private,359766, 7th-8th,4, Divorced, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K\n32, Private,128016, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n46, Private,360096, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n30, Private,170154, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, >50K\n35, Private,337286, Masters,14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n52, Private,204322, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,5013,0,40, United-States, <=50K\n73, Self-emp-not-inc,143833, 12th,8, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,18, United-States, <=50K\n17, Private,365613, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,10, Canada, <=50K\n32, Private,100135, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n43, Local-gov,180096, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n19, ?,371827, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, Portugal, <=50K\n26, Private,61270, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Other, Female,0,0,40, Columbia, <=50K\n41, Federal-gov,564135, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,198759, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K\n52, State-gov,303462, Some-college,10, Separated, Protective-serv, Unmarried, White, Male,0,0,40, United-States, <=50K\n35, Private,193106, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K\n57, Private,250201, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,52, United-States, <=50K\n35, Private,200426, Assoc-voc,11, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,0,0,44, United-States, <=50K\n33, Private,222654, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Private,53366, 7th-8th,4, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n42, Private,132222, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,60, United-States, <=50K\n17, Private,100828, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n49, Private,31264, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n39, Private,202027, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n34, Self-emp-not-inc,168906, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n37, Self-emp-not-inc,255454, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n22, Private,245524, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n27, Private,386040, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n21, Private,35424, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n59, ?,93655, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,152629, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,3103,0,40, United-States, >50K\n53, Self-emp-not-inc,151159, 10th,6, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0,0,99, United-States, <=50K\n26, Private,410240, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,138970, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n39, Private,269722, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n34, Private,223678, HS-grad,9, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,32, United-States, <=50K\n54, State-gov,197184, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K\n36, Private,143486, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,50, United-States, >50K\n60, Private,160625, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,40, United-States, <=50K\n50, Private,140516, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n48, Local-gov,85341, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,108293, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,2205,40, United-States, <=50K\n40, Self-emp-not-inc,192507, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n30, Private,186932, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n65, Self-emp-not-inc,223580, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,6514,0,40, United-States, >50K\n31, Private,236861, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n46, Local-gov,327886, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n67, ?,407618, 9th,5, Divorced, ?, Not-in-family, White, Female,2050,0,40, United-States, <=50K\n62, Self-emp-inc,197060, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,229180, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, Cuba, <=50K\n24, Private,284317, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n24, Private,73514, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,50, Philippines, <=50K\n27, Private,47907, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K\n43, State-gov,134782, Assoc-acdm,12, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n48, Private,118831, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Female,0,0,40, South, <=50K\n41, Private,299505, HS-grad,9, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n30, Private,267161, Some-college,10, Married-civ-spouse, Tech-support, Wife, Black, Female,0,0,45, United-States, <=50K\n38, Private,119177, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,327886, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n45, Private,187730, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,109015, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n46, Self-emp-not-inc,110015, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, Greece, <=50K\n24, Private,104146, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n31, Local-gov,50442, Some-college,10, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,25, United-States, <=50K\n35, Private,57640, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n37, Local-gov,333664, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,224858, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n56, Private,290641, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n60, ?,191118, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,1848,40, United-States, >50K\n25, Private,34402, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1590,60, United-States, <=50K\n33, Private,245378, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,179136, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,116788, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,129699, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Federal-gov,39606, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, England, >50K\n44, Self-emp-inc,95150, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n63, Private,102479, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,199191, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K\n31, Private,229636, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Mexico, <=50K\n26, Private,53833, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, <=50K\n37, Self-emp-inc,27997, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n60, ?,124487, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, >50K\n33, Private,111363, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n38, Private,107630, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,134287, Assoc-voc,11, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n46, Self-emp-inc,283004, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,63, Thailand, <=50K\n24, Private,33616, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n47, Local-gov,121124, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n27, Private,188189, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,30, United-States, <=50K\n46, Private,106255, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Federal-gov,282830, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n47, Private,243904, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, Honduras, <=50K\n69, Private,165017, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Male,2538,0,40, United-States, <=50K\n32, Private,131584, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K\n51, Private,427781, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n36, Private,334291, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n50, Local-gov,173224, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n29, Private,87507, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,60, India, <=50K\n32, Private,187560, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,3908,0,40, United-States, <=50K\n27, Private,204497, 10th,6, Divorced, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,75, United-States, <=50K\n60, Private,230545, 7th-8th,4, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, Cuba, <=50K\n31, Private,118161, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,150499, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Local-gov,96554, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,288551, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,52, United-States, >50K\n69, Self-emp-not-inc,104003, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n54, Self-emp-inc,124963, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,198388, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Federal-gov,126204, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,91709, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,45, United-States, <=50K\n34, Self-emp-not-inc,152109, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n24, Self-emp-not-inc,191954, 7th-8th,4, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K\n63, Private,108097, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,10566,0,45, United-States, <=50K\n29, Local-gov,289991, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n64, Private,92115, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,320277, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,33610, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,60, United-States, <=50K\n36, Private,168276, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, State-gov,175127, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,38, United-States, >50K\n37, Private,254973, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, United-States, >50K\n37, Private,95336, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,65, United-States, <=50K\n63, Private,346975, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,36, United-States, >50K\n33, Private,227282, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n19, Private,138153, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n57, Local-gov,174132, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,1977,40, United-States, >50K\n31, Private,182237, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,4386,0,45, United-States, >50K\n20, ?,111252, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n58, Local-gov,217775, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n20, ?,168863, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n25, Private,394503, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,141657, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, Private,125441, 11th,7, Never-married, Other-service, Own-child, White, Male,1055,0,20, United-States, <=50K\n26, Private,172230, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,282944, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n45, Local-gov,55377, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K\n35, State-gov,49352, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K\n32, Private,213887, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,45, United-States, <=50K\n61, Self-emp-not-inc,24046, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n26, State-gov,208122, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K\n56, Private,176118, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K\n22, Private,227994, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,39, United-States, <=50K\n49, Private,215389, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,48, United-States, <=50K\n40, Private,99434, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,12, United-States, <=50K\n37, Private,190964, HS-grad,9, Separated, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n23, ?,113700, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K\n28, Private,259840, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n27, Private,168827, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-inc,28984, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,182211, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n41, Private,82393, Some-college,10, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n28, Private,183639, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,21, United-States, <=50K\n38, Private,342448, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n47, State-gov,469907, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1740,40, United-States, <=50K\n28, Local-gov,211920, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n44, State-gov,33658, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n41, Federal-gov,34178, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,400630, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K\n73, Self-emp-not-inc,161251, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,24, United-States, <=50K\n21, Private,255685, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, Outlying-US(Guam-USVI-etc), <=50K\n38, Private,199256, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n64, ?,143716, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K\n47, Private,221666, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Private,145409, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,60, Canada, >50K\n24, Private,39615, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n44, Private,104440, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,151382, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, White, Male,0,974,40, United-States, <=50K\n61, Self-emp-not-inc,503675, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, >50K\n58, Private,306233, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n51, Private,216475, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,1564,43, United-States, >50K\n49, Private,50748, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,55, England, <=50K\n23, Private,107190, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K\n19, Private,206874, Assoc-voc,11, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n21, Private,83141, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,53, United-States, <=50K\n56, Private,444089, 11th,7, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,141896, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Federal-gov,33487, Some-college,10, Divorced, Tech-support, Unmarried, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K\n41, Private,65372, Doctorate,16, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, >50K\n30, Private,341346, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,343403, Doctorate,16, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,20, ?, <=50K\n47, Private,287480, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Self-emp-inc,107287, 10th,6, Widowed, Exec-managerial, Unmarried, White, Female,0,2559,50, United-States, >50K\n55, Private,199067, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,32, United-States, <=50K\n22, ?,182771, Assoc-voc,11, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K\n31, Private,159737, 10th,6, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n30, Private,110643, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,4386,0,40, United-States, >50K\n24, Private,117583, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,48, United-States, <=50K\n49, Self-emp-not-inc,43479, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,203003, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,25, Germany, <=50K\n50, Private,133963, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n38, Private,227794, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n20, Self-emp-not-inc,112137, Some-college,10, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,20, South, <=50K\n49, Self-emp-not-inc,110457, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n45, Private,281565, HS-grad,9, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,50, South, <=50K\n46, Federal-gov,297906, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K\n19, Private,151506, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n31, Federal-gov,139455, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, Cuba, <=50K\n38, Private,26987, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,233312, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,161092, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n58, Local-gov,98361, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n28, Private,188928, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,164922, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,185673, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,193598, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n56, Private,274111, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n32, Private,245482, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n56, Private,160932, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, >50K\n50, Private,44368, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n28, ?,291374, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,30, United-States, <=50K\n30, Private,280927, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,222993, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Federal-gov,25240, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,204052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,74054, 11th,7, Never-married, Sales, Own-child, Other, Female,0,0,20, ?, <=50K\n46, Private,169042, 10th,6, Never-married, Other-service, Not-in-family, White, Female,0,0,25, Ecuador, <=50K\n31, Private,104509, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,65, United-States, >50K\n38, Local-gov,185394, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, United-States, >50K\n44, Local-gov,254146, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-inc,227856, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,50, United-States, >50K\n19, Private,183041, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n45, Private,107682, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n50, Self-emp-inc,287598, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n53, Private,182186, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Dominican-Republic, <=50K\n41, Self-emp-inc,194636, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,65, United-States, >50K\n45, Private,112305, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n21, Private,212661, 10th,6, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,39, United-States, <=50K\n37, Private,32709, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n42, Federal-gov,46366, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,24106, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, United-States, <=50K\n46, Private,170850, Bachelors,13, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,1590,40, ?, <=50K\n45, Self-emp-not-inc,40666, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n32, Private,182975, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,20, United-States, <=50K\n30, Private,345122, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n57, ?,208311, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,80, United-States, >50K\n37, Private,120045, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,56, United-States, <=50K\n18, ?,201299, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Private,152940, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,243580, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,182128, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,6497,0,50, United-States, <=50K\n36, ?,176458, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,28, United-States, <=50K\n33, Private,101562, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,108699, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,175878, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Female,0,0,40, United-States, <=50K\n34, Local-gov,177675, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,50, United-States, >50K\n33, Private,213887, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,357619, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, Germany, <=50K\n23, Private,435835, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,1669,55, United-States, <=50K\n39, Private,165799, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,71469, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n19, Private,229745, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n47, Private,284916, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,45, United-States, >50K\n46, Private,28419, Assoc-voc,11, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n47, Private,26950, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,6, United-States, <=50K\n47, Self-emp-not-inc,107231, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n52, Local-gov,512103, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,245090, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n58, Private,314153, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,243988, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n54, Self-emp-not-inc,82551, Assoc-voc,11, Married-civ-spouse, Tech-support, Other-relative, White, Female,0,0,10, United-States, <=50K\n20, Private,42706, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,25, United-States, <=50K\n25, Private,235795, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K\n25, Self-emp-not-inc,108001, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,0,15, United-States, <=50K\n36, State-gov,112497, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,1876,44, United-States, <=50K\n69, Self-emp-not-inc,128206, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, United-States, <=50K\n28, Private,224634, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n20, Private,362999, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n21, Private,346693, 7th-8th,4, Never-married, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K\n37, Private,175759, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,99199, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,32, United-States, <=50K\n25, ?,219987, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,13, United-States, <=50K\n39, Private,143445, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K\n34, Private,118710, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n33, Local-gov,224185, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,118972, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n29, Private,165360, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,38950, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,89, United-States, <=50K\n42, Self-emp-inc,277256, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K\n29, Private,247151, 11th,7, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,213722, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,209955, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n41, Private,174395, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,138626, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,1876,50, United-States, <=50K\n22, ?,179973, Assoc-voc,11, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,200207, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,44, United-States, <=50K\n19, Private,156587, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K\n24, Private,33016, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,197496, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, ?, <=50K\n32, Private,153588, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Private,99736, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,15020,0,50, United-States, >50K\n36, Private,284166, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,60, United-States, >50K\n18, Private,716066, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K\n27, Private,188519, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,109080, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n52, Private,174421, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n24, Private,259351, Some-college,10, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K\n42, Federal-gov,284403, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, Private,85319, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,60, United-States, >50K\n20, ?,201766, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n20, State-gov,340475, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n39, Private,487486, HS-grad,9, Widowed, Handlers-cleaners, Unmarried, White, Male,0,0,40, ?, <=50K\n68, ?,484298, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n35, Private,170617, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,48, United-States, <=50K\n54, Private,94055, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,117779, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,209770, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,8, United-States, <=50K\n20, Private,317443, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,15, United-States, <=50K\n64, ?,140237, Preschool,1, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,107411, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n36, Self-emp-not-inc,122493, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, <=50K\n44, Self-emp-inc,195124, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, ?, <=50K\n38, Private,101978, Some-college,10, Separated, Machine-op-inspct, Not-in-family, White, Male,0,2258,55, United-States, >50K\n22, Private,335453, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n56, Private,318329, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,100321, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n24, Self-emp-not-inc,81145, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,75, United-States, <=50K\n22, Private,62865, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,176262, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,30, United-States, <=50K\n42, Private,168103, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, Local-gov,208174, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,55, United-States, <=50K\n19, Private,188815, HS-grad,9, Never-married, Other-service, Own-child, White, Female,34095,0,20, United-States, <=50K\n67, Self-emp-not-inc,226092, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,44, United-States, <=50K\n20, Private,212668, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n32, Private,381583, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K\n46, Private,239439, HS-grad,9, Separated, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n52, Private,172493, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,36, United-States, <=50K\n44, Private,239876, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Male,0,0,40, United-States, <=50K\n65, ?,221881, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Mexico, <=50K\n37, Local-gov,218184, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n27, Self-emp-not-inc,206889, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,110668, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,35, United-States, <=50K\n30, Private,211028, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n64, Local-gov,202984, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,40, United-States, <=50K\n48, Private,20296, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, >50K\n35, Private,194690, 7th-8th,4, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,204984, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K\n63, Self-emp-not-inc,35021, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1977,32, China, >50K\n40, Self-emp-not-inc,238574, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n33, Private,345360, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,192381, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,479765, 7th-8th,4, Never-married, Sales, Other-relative, White, Male,0,0,45, Guatemala, <=50K\n45, Self-emp-inc,34091, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K\n30, Private,151773, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,299080, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n63, Private,135339, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,2105,0,40, Vietnam, <=50K\n27, Local-gov,52156, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,318647, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,80145, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n39, State-gov,343646, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, Mexico, >50K\n42, Self-emp-not-inc,198692, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n19, Private,266635, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,30, United-States, <=50K\n31, Private,197672, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,185846, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,315110, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K\n27, Private,220754, Doctorate,16, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,64292, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,126060, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n52, Private,78012, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,1762,40, United-States, <=50K\n32, Private,210562, Assoc-voc,11, Divorced, Craft-repair, Own-child, White, Male,0,0,46, United-States, <=50K\n23, Private,350181, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,233421, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n53, Private,167170, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n18, Private,260801, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n41, Private,173370, Bachelors,13, Separated, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n27, Private,135520, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Dominican-Republic, <=50K\n30, Private,121308, Some-college,10, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,444743, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n21, Private,65225, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n58, State-gov,136982, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,40, Honduras, <=50K\n45, State-gov,271962, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,204046, 10th,6, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,225823, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,183009, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Other, Female,0,1590,40, United-States, <=50K\n50, Private,121038, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K\n26, Private,49092, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,148709, HS-grad,9, Separated, Handlers-cleaners, Other-relative, White, Female,0,0,40, United-States, <=50K\n27, Private,209205, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,285865, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n22, Federal-gov,216129, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n37, Federal-gov,40955, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, Japan, <=50K\n54, Private,197189, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,33001, HS-grad,9, Divorced, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K\n44, Private,227399, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K\n38, Private,164050, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K\n49, Private,259087, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,236262, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n26, Private,177929, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K\n48, Private,166929, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, ?, >50K\n32, Private,199963, 11th,7, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n35, State-gov,98776, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,135056, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n40, Self-emp-not-inc,55363, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,40, United-States, <=50K\n42, State-gov,102343, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,72, India, >50K\n30, Private,231263, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,226913, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n36, Private,129573, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n31, Private,191001, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Federal-gov,69345, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n38, Private,204556, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,192626, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n45, Private,202812, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,405177, 10th,6, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,227890, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,46, United-States, >50K\n33, Private,101352, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n49, Private,82572, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K\n28, Private,132686, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n49, Local-gov,149210, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,15024,0,40, United-States, >50K\n27, Private,245661, HS-grad,9, Separated, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-inc,483596, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,2885,0,32, United-States, <=50K\n42, State-gov,104663, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, Italy, >50K\n30, Private,347166, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n37, Local-gov,108540, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,333305, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, <=50K\n51, Private,155408, HS-grad,9, Married-spouse-absent, Sales, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n27, Federal-gov,246372, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,30290, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,347321, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-inc,205852, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n40, Federal-gov,163215, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, ?, <=50K\n54, State-gov,93449, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K\n47, Self-emp-inc,116927, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n35, Private,164526, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Yugoslavia, >50K\n33, Private,31573, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, Local-gov,125159, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,40, Haiti, <=50K\n39, State-gov,201105, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, >50K\n25, ?,122745, HS-grad,9, Never-married, ?, Own-child, White, Male,0,1602,40, United-States, <=50K\n33, Private,150570, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,118941, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,40, Ireland, <=50K\n53, Private,141388, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,174714, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K\n31, State-gov,75755, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,55, United-States, >50K\n63, Private,133144, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n21, Self-emp-not-inc,318865, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n59, Private,109638, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,92969, 1st-4th,2, Separated, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n66, ?,376028, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K\n19, Private,144161, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K\n31, Private,183778, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K\n23, Private,398904, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n45, Private,170846, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n35, Local-gov,204277, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,205152, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,225395, 7th-8th,4, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,60, Mexico, <=50K\n38, Private,33975, HS-grad,9, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, >50K\n49, Private,147032, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,8, Philippines, <=50K\n64, Private,174826, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Local-gov,232769, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n25, Private,36984, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n21, Private,292264, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n26, Private,303973, HS-grad,9, Never-married, Priv-house-serv, Other-relative, White, Female,0,1602,15, Mexico, <=50K\n23, Private,287988, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,20, United-States, <=50K\n67, Self-emp-inc,330144, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K\n24, Private,191948, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n46, Private,324601, 1st-4th,2, Separated, Machine-op-inspct, Own-child, White, Female,0,0,40, Guatemala, <=50K\n38, State-gov,200289, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K\n20, Private,113307, 7th-8th,4, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n28, ?,194087, Some-college,10, Never-married, ?, Other-relative, White, Female,0,0,40, United-States, <=50K\n26, Private,155213, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K\n58, Private,175127, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, State-gov,358461, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n37, State-gov,354929, Assoc-acdm,12, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,38, United-States, <=50K\n53, State-gov,104501, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n45, Private,112929, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n33, Private,132832, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n33, State-gov,357691, Masters,14, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K\n35, Private,114605, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,25, United-States, <=50K\n60, Self-emp-not-inc,525878, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K\n21, Private,68358, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n38, Private,174571, 10th,6, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,45, United-States, <=50K\n40, Private,42703, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Private,220589, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n44, Self-emp-not-inc,197558, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K\n27, Private,423250, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n34, Self-emp-not-inc,29254, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n20, ?,308924, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n49, Local-gov,276247, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,213841, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,181677, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, >50K\n46, Private,160061, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n20, Private,285295, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0,0,40, ?, <=50K\n43, Private,265266, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,222115, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,99999,0,40, United-States, >50K\n25, State-gov,194954, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, <=50K\n48, Private,156926, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,217414, Some-college,10, Divorced, Protective-serv, Unmarried, White, Male,0,0,55, United-States, <=50K\n37, Private,538443, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,14344,0,40, United-States, >50K\n18, ?,192399, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K\n42, Private,383493, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n60, Private,193235, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,24, United-States, <=50K\n37, Self-emp-inc,99452, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K\n44, Local-gov,254134, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n32, Private,90446, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,116613, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Portugal, <=50K\n42, Local-gov,238188, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n17, Private,95909, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n41, Private,82319, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,10, United-States, <=50K\n34, Private,182274, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1887,40, United-States, >50K\n56, Private,179625, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n28, Private,119793, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,254989, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,104830, 7th-8th,4, Never-married, Transport-moving, Unmarried, White, Male,0,0,25, Guatemala, <=50K\n49, Federal-gov,110373, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n36, Self-emp-not-inc,135416, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,50, United-States, <=50K\n25, Private,298225, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n42, Private,166740, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,213668, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n26, Private,276624, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,226789, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,58, United-States, <=50K\n37, Private,31023, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n39, Local-gov,116666, HS-grad,9, Never-married, Protective-serv, Own-child, Amer-Indian-Eskimo, Male,4650,0,48, United-States, <=50K\n42, Private,136986, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n41, Private,179580, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,36, United-States, >50K\n23, Private,103277, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n31, Federal-gov,351141, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,191161, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,57, United-States, >50K\n20, Private,148709, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Female,0,0,25, United-States, <=50K\n36, Private,128382, Some-college,10, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,45, United-States, <=50K\n50, Private,144361, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,172538, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,102476, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Male,27828,0,50, United-States, >50K\n39, Private,46028, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,60, United-States, <=50K\n32, Private,198452, HS-grad,9, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,40, United-States, <=50K\n59, Private,193895, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n29, Private,233421, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,45, United-States, <=50K\n50, Private,378747, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n42, Private,31251, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,37, United-States, <=50K\n32, Private,71540, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,194772, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n20, Private,34568, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3781,0,35, United-States, <=50K\n50, Self-emp-not-inc,36480, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n18, Private,116528, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n60, Private,52152, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n60, Private,216690, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K\n42, Local-gov,227065, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,22, United-States, <=50K\n49, Private,84013, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n35, Self-emp-inc,82051, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,176185, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Iran, <=50K\n59, Private,115414, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n24, Self-emp-inc,493034, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,13550,0,50, United-States, >50K\n55, Private,354923, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,393712, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n39, Private,98941, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,141483, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,172479, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n21, Private,226145, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n23, Private,394612, Bachelors,13, Never-married, Tech-support, Own-child, Black, Male,0,0,40, United-States, <=50K\n22, Private,231085, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n55, Self-emp-not-inc,183810, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n19, Private,186159, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,162282, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,25, United-States, <=50K\n46, Private,219021, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,44, United-States, >50K\n23, Private,273206, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,23, United-States, <=50K\n47, Self-emp-inc,332355, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n23, Private,102729, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n42, Private,198096, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n22, State-gov,292933, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n18, Private,135924, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n37, Private,99146, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n34, Private,27409, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,299507, Assoc-acdm,12, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,102631, Some-college,10, Widowed, Farming-fishing, Unmarried, White, Female,0,0,50, United-States, <=50K\n51, Private,153486, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,434292, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,30, United-States, <=50K\n28, Self-emp-not-inc,240172, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n56, Private,219426, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,295791, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,30, United-States, <=50K\n46, Private,114032, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,1887,45, United-States, >50K\n23, Local-gov,496382, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,40, Guatemala, <=50K\n33, Private,376483, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,30, United-States, <=50K\n27, Private,107218, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n21, Private,246207, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K\n18, ?,80564, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K\n36, Private,83089, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, Mexico, >50K\n37, Local-gov,328301, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K\n39, Local-gov,301614, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,199739, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,60, United-States, >50K\n24, Private,180060, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,2354,0,40, United-States, <=50K\n26, Private,121040, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K\n37, Private,125550, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n34, Private,170772, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,180551, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,48189, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,30, United-States, <=50K\n20, Private,432154, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,8, Mexico, <=50K\n26, Private,263200, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n47, Private,123207, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n17, Private,110798, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n53, Private,238481, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,40, United-States, <=50K\n31, Private,185528, Some-college,10, Divorced, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n34, Private,181311, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,528616, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n39, Private,272950, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n22, ?,195532, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,197583, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n40, Private,48612, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n54, Local-gov,31533, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n32, Federal-gov,148138, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,2002,40, Iran, <=50K\n29, Local-gov,30069, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,2635,0,40, United-States, <=50K\n68, ?,170182, Some-college,10, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n27, Local-gov,230885, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K\n54, Private,174102, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n23, Private,352606, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,241153, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n54, Private,155433, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K\n21, Private,109414, Some-college,10, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,1974,40, United-States, <=50K\n40, Private,125461, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,42, United-States, <=50K\n19, Private,331556, 10th,6, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, ?,138575, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,60, United-States, <=50K\n35, Private,223514, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n39, Private,115418, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,2174,0,45, United-States, <=50K\n38, Private,193026, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,1408,40, ?, <=50K\n41, Private,147206, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,174592, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,268620, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K\n70, Self-emp-not-inc,150886, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K\n45, Private,112362, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n83, Private,195507, HS-grad,9, Widowed, Protective-serv, Not-in-family, White, Male,0,0,55, United-States, <=50K\n59, Private,192983, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,120544, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,15, United-States, <=50K\n31, Private,59083, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,208277, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n24, Local-gov,184678, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,278736, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n48, Local-gov,39464, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,52, United-States, <=50K\n27, Private,162343, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Dominican-Republic, <=50K\n41, Private,204046, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,255647, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, Mexico, <=50K\n53, Private,123011, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, >50K\n66, Self-emp-not-inc,291362, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n31, Private,159187, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n30, State-gov,126414, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,227626, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-inc,173783, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K\n74, Private,211075, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,176756, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,1485,70, United-States, >50K\n35, Self-emp-not-inc,31095, Some-college,10, Separated, Farming-fishing, Not-in-family, White, Male,4101,0,60, United-States, <=50K\n51, Self-emp-not-inc,32372, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,70, United-States, <=50K\n40, Private,331651, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Local-gov,146325, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n26, Private,515025, 10th,6, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, United-States, <=50K\n53, Private,394474, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n32, Private,400535, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3781,0,40, United-States, <=50K\n29, Self-emp-not-inc,337505, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n42, Private,211860, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,102684, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,32, United-States, <=50K\n62, ?,225657, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K\n33, Private,121966, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,396790, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,20, United-States, <=50K\n46, Local-gov,149949, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,252187, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,209934, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n29, Federal-gov,229300, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K\n33, Private,170769, Doctorate,16, Divorced, Sales, Not-in-family, White, Male,99999,0,60, United-States, >50K\n50, Private,200618, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,216984, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n40, Private,212760, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,150309, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,45, United-States, <=50K\n54, Private,174655, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,109621, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,225124, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,172695, 11th,7, Widowed, Other-service, Not-in-family, White, Female,0,0,27, El-Salvador, <=50K\n71, Self-emp-not-inc,238479, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,8, United-States, <=50K\n27, Private,37754, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K\n56, Private,85018, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n64, Private,256466, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,60, Philippines, >50K\n23, Private,169188, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, <=50K\n36, Private,210945, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n39, Local-gov,287031, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n26, Private,224361, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Federal-gov,108464, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,75826, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,120277, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,104439, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n27, Private,56870, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,200819, 12th,8, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,170562, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,20, United-States, <=50K\n30, Private,80933, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,33088, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,112763, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,7430,0,36, United-States, >50K\n29, Private,177651, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n31, Private,261943, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,169785, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, Italy, <=50K\n20, Private,141481, 11th,7, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,50, United-States, <=50K\n37, Private,433491, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Local-gov,86615, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,30, United-States, <=50K\n39, Private,125550, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n46, State-gov,421223, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,26999, Bachelors,13, Separated, Exec-managerial, Unmarried, White, Female,0,0,42, United-States, <=50K\n36, Self-emp-not-inc,241998, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,99999,0,20, United-States, >50K\n34, ?,133861, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n44, Private,115323, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n34, Self-emp-inc,23778, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n28, Self-emp-not-inc,190836, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n38, Self-emp-inc,159179, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n64, ?,205479, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n19, ?,47713, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,163237, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K\n61, Private,202202, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,168837, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,112271, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,52537, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Male,0,0,30, United-States, <=50K\n27, Private,38353, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n22, Private,141698, 10th,6, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n26, Private,28856, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,175652, 11th,7, Never-married, Other-service, Other-relative, White, Female,0,0,15, United-States, <=50K\n36, Private,213008, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,196501, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,14084,0,50, United-States, >50K\n63, Private,118798, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K\n51, Private,92463, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n20, State-gov,125165, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n42, Self-emp-not-inc,103980, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n40, ?,180362, Bachelors,13, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,53903, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,179735, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n41, ?,277390, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,30, United-States, >50K\n49, Private,122177, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,80, United-States, <=50K\n46, Private,188161, HS-grad,9, Separated, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,170108, HS-grad,9, Separated, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n28, Private,175262, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, Mexico, <=50K\n19, ?,204441, HS-grad,9, Never-married, ?, Other-relative, Black, Male,0,0,20, United-States, <=50K\n19, Private,164395, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n18, Private,115630, 11th,7, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K\n39, Private,178815, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n60, Self-emp-not-inc,168223, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n46, Local-gov,202560, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,1408,40, United-States, <=50K\n38, Private,100295, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,50, Canada, >50K\n36, Private,172256, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, >50K\n45, Private,51664, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n60, State-gov,358893, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,2339,40, United-States, <=50K\n30, Private,115963, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,333910, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,43, United-States, <=50K\n23, Private,148948, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n48, State-gov,130561, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,24, United-States, <=50K\n46, Private,428350, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n43, Private,188808, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,112847, HS-grad,9, Married-civ-spouse, Transport-moving, Own-child, Other, Male,0,0,40, United-States, <=50K\n50, Private,110748, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Self-emp-inc,156653, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n35, Private,196491, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n65, Local-gov,254413, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Private,91262, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,45, United-States, <=50K\n43, Self-emp-not-inc,154785, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,80, Thailand, <=50K\n55, Private,84231, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n22, Private,226327, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,248406, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,32, United-States, <=50K\n35, Private,54317, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1672,50, United-States, <=50K\n22, ?,32732, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K\n20, Private,95918, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,375675, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, >50K\n43, Private,244172, HS-grad,9, Separated, Transport-moving, Unmarried, White, Male,0,0,40, Mexico, <=50K\n46, Federal-gov,233555, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, ?, <=50K\n39, Private,326342, 11th,7, Married-civ-spouse, Other-service, Husband, Black, Male,2635,0,37, United-States, <=50K\n34, Private,77271, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,20, England, <=50K\n35, Private,33397, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n30, Private,446358, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,41, United-States, <=50K\n25, Private,151810, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,28, United-States, <=50K\n44, Private,125461, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n35, Private,133906, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,155106, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n43, Federal-gov,203637, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n32, Private,232766, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,305319, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,121023, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n29, Private,198997, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K\n38, Private,167140, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,70, United-States, >50K\n20, Private,38772, 10th,6, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,50, United-States, <=50K\n41, Private,253759, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n27, Private,130067, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,65, United-States, <=50K\n37, Private,203828, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, State-gov,221558, Masters,14, Separated, Prof-specialty, Unmarried, White, Female,0,0,24, ?, <=50K\n31, Private,156464, 10th,6, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,72333, Some-college,10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n33, Local-gov,83671, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,50, United-States, <=50K\n31, Private,339482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,40, United-States, >50K\n19, Private,91928, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,35, United-States, <=50K\n44, Private,99203, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-inc,455995, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, >50K\n62, Private,192515, HS-grad,9, Widowed, Farming-fishing, Unmarried, White, Female,0,0,40, United-States, <=50K\n65, Self-emp-not-inc,111483, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2174,10, United-States, >50K\n17, Private,221129, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n60, Private,85413, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, >50K\n31, Private,196125, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,265638, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n53, Private,177727, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,205822, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,112607, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n40, Federal-gov,177595, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,40, United-States, <=50K\n18, Private,183315, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,10, United-States, <=50K\n47, Private,116279, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,43, United-States, <=50K\n38, Federal-gov,122493, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,4064,0,40, United-States, <=50K\n37, Private,215419, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, <=50K\n40, Private,310101, Some-college,10, Separated, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n57, Self-emp-inc,61885, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,60, United-States, >50K\n43, Private,59107, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,4101,0,40, United-States, <=50K\n32, Private,227214, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,40, Ecuador, <=50K\n64, Private,239450, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,118847, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n40, Self-emp-not-inc,95226, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n17, ?,659273, 11th,7, Never-married, ?, Own-child, Black, Female,0,0,40, Trinadad&Tobago, <=50K\n23, Private,215395, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,170600, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,91044, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K\n27, Private,318639, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,60, Mexico, <=50K\n23, Private,160398, Some-college,10, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,216824, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K\n35, Private,308945, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,75, United-States, <=50K\n47, Private,30840, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n33, Private,99309, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,188576, Bachelors,13, Separated, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n46, Private,83064, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,403865, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, <=50K\n40, Private,235786, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K\n44, Private,191893, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n31, Local-gov,149184, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,97, United-States, >50K\n37, Private,152909, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,40, United-States, >50K\n23, Private,435604, Assoc-voc,11, Separated, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Self-emp-inc,109282, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K\n31, Private,248178, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,35, United-States, <=50K\n24, ?,112683, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,32, United-States, <=50K\n32, Private,209103, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3464,0,40, United-States, <=50K\n27, Private,183639, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,107233, HS-grad,9, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Male,0,0,55, United-States, <=50K\n27, Private,175387, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1876,40, United-States, <=50K\n30, Self-emp-not-inc,178255, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, ?, <=50K\n33, Self-emp-not-inc,38223, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,70, United-States, <=50K\n34, Private,228873, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n29, Private,202182, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n26, Local-gov,425092, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,2174,0,40, United-States, <=50K\n39, Self-emp-not-inc,152587, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-inc,39089, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,50, United-States, >50K\n51, Private,204304, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n40, Private,116103, Some-college,10, Separated, Craft-repair, Unmarried, White, Male,4934,0,47, United-States, >50K\n53, Private,290640, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n58, Federal-gov,81973, Some-college,10, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,1485,40, United-States, >50K\n29, Private,134890, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,452924, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Mexico, <=50K\n57, Private,245193, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n69, State-gov,34339, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,184756, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K\n56, Private,392160, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,25, Mexico, <=50K\n49, Private,168337, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,309513, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n70, Private,77219, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,37, United-States, <=50K\n44, Private,212888, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n37, Private,361888, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K\n58, Local-gov,237879, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,58, United-States, <=50K\n42, Self-emp-not-inc,93099, Some-college,10, Married-civ-spouse, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K\n41, Private,225193, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,50814, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Local-gov,123681, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,60, United-States, >50K\n24, Private,249351, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,222311, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,7688,0,55, United-States, >50K\n18, Private,301762, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n50, Private,195298, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n69, Private,541737, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,2050,0,24, United-States, <=50K\n84, Private,241065, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,66, United-States, <=50K\n47, Private,129513, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n19, Private,374262, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n24, Private,382146, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n48, ?,185291, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K\n53, Private,30447, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K\n58, Private,49893, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n22, Private,197387, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,24, Mexico, <=50K\n36, Self-emp-not-inc,111957, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, <=50K\n34, Private,340458, 12th,8, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,185670, 1st-4th,2, Widowed, Prof-specialty, Unmarried, White, Female,0,0,21, Mexico, <=50K\n37, Private,210945, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,24, United-States, <=50K\n43, Private,350661, Prof-school,15, Separated, Tech-support, Not-in-family, White, Male,0,0,50, Columbia, >50K\n42, Private,190543, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n21, Private,70261, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n49, Self-emp-not-inc,179048, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Greece, <=50K\n35, Private,242094, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,117634, Some-college,10, Widowed, Craft-repair, Unmarried, White, Female,0,0,30, United-States, <=50K\n28, Private,82531, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n51, Private,193374, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n30, ?,186420, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,323605, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, >50K\n56, Private,371064, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,39927, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,8, United-States, <=50K\n22, Private,64292, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,37, United-States, <=50K\n33, Private,198660, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,99999,0,56, United-States, >50K\n54, ?,196975, HS-grad,9, Divorced, ?, Other-relative, White, Male,0,0,45, United-States, <=50K\n22, Private,210165, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n68, Private,144137, Some-college,10, Divorced, Priv-house-serv, Other-relative, White, Female,0,0,30, United-States, <=50K\n56, Local-gov,155657, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, ?,72953, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n69, Self-emp-not-inc,107548, 9th,5, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,163258, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,221324, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n18, Private,444822, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,8, Mexico, <=50K\n17, Private,154398, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,16, Haiti, <=50K\n31, Private,120672, 11th,7, Divorced, Handlers-cleaners, Other-relative, Black, Male,0,1721,40, United-States, <=50K\n50, Private,159650, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, >50K\n62, Private,290754, 10th,6, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,49654, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,52, United-States, <=50K\n20, Federal-gov,147352, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,227943, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n18, Private,423024, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n53, ?,64322, 7th-8th,4, Separated, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,445940, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n23, Private,230824, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,48882, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n47, Private,168195, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n53, Local-gov,188644, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n28, Private,136077, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, State-gov,119793, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,336513, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n58, Private,186991, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n25, ?,218948, 7th-8th,4, Never-married, ?, Not-in-family, White, Female,0,0,32, Mexico, <=50K\n26, Private,211435, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,280169, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,3456,0,8, United-States, <=50K\n27, Private,109997, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,286789, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,102460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,287160, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n39, Private,198097, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n52, Private,119111, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,174461, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n26, Self-emp-not-inc,281678, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n24, ?,377725, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,151053, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n49, Local-gov,186539, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n20, ?,149478, Some-college,10, Never-married, ?, Other-relative, White, Female,0,0,25, United-States, <=50K\n40, Private,198452, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,198863, Prof-school,15, Divorced, Exec-managerial, Not-in-family, White, Male,0,2559,60, United-States, >50K\n33, Private,176711, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,165310, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male,0,0,20, United-States, <=50K\n37, Private,213008, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Japan, <=50K\n21, State-gov,38251, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,20, United-States, <=50K\n33, Private,125761, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,36, United-States, <=50K\n28, Private,148645, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,273435, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,40, United-States, <=50K\n43, Private,208613, Bachelors,13, Separated, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,192565, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,183885, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n47, Self-emp-not-inc,243631, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n37, Private,191754, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,261278, Some-college,10, Separated, Sales, Other-relative, Black, Male,0,0,30, United-States, <=50K\n55, Private,127014, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K\n40, Private,197919, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,217460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,86551, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n54, Self-emp-inc,98051, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,54, United-States, >50K\n38, Private,215917, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n53, Self-emp-not-inc,192982, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,85, United-States, <=50K\n27, Self-emp-not-inc,334132, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,78, United-States, <=50K\n42, Private,136986, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n62, Private,116812, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,189123, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1485,58, United-States, <=50K\n26, Private,89648, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n33, ?,190027, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,20, United-States, <=50K\n59, Private,99248, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,57600, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n25, Private,199224, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n58, Private,140363, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,36, United-States, <=50K\n30, Private,308812, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n21, Private,275421, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K\n61, Private,213321, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,157747, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,182314, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n70, Private,220589, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,12, United-States, <=50K\n55, ?,208640, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K\n29, Self-emp-not-inc,189346, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,2202,0,50, United-States, <=50K\n46, Private,124071, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,44, United-States, <=50K\n35, Federal-gov,20469, Some-college,10, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n31, Private,154227, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, >50K\n37, Private,105044, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n43, Private,35910, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, >50K\n23, Private,189203, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,116493, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,13550,0,44, United-States, >50K\n42, Local-gov,19700, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n26, Private,48718, 10th,6, Never-married, Adm-clerical, Not-in-family, White, Female,2907,0,40, United-States, <=50K\n45, Private,106113, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,256263, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n33, ?,202498, 7th-8th,4, Separated, ?, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n38, Private,120074, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,122922, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n68, Self-emp-not-inc,116903, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2149,40, United-States, <=50K\n42, Local-gov,222596, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,107302, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, India, <=50K\n36, Private,156400, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,53373, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n22, Private,58916, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n45, Local-gov,167159, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,283806, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Private,140426, 1st-4th,2, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,35, ?, <=50K\n36, Local-gov,61778, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n41, Private,33310, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Self-emp-not-inc,202560, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K\n25, Self-emp-not-inc,60828, Some-college,10, Never-married, Farming-fishing, Own-child, White, Female,0,0,50, United-States, <=50K\n53, State-gov,153486, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n28, Local-gov,167536, Assoc-acdm,12, Widowed, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n30, Local-gov,370990, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,198867, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,174924, Some-college,10, Divorced, Protective-serv, Unmarried, White, Male,0,0,48, Germany, <=50K\n30, Private,175856, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, <=50K\n41, Private,169628, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, ?, <=50K\n29, ?,125159, Some-college,10, Never-married, ?, Not-in-family, Black, Male,0,0,36, ?, <=50K\n31, Private,220690, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,80, United-States, <=50K\n36, Private,160035, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3908,0,55, United-States, <=50K\n59, Self-emp-not-inc,116878, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Greece, <=50K\n33, Self-emp-not-inc,134737, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n29, Private,81648, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1887,55, United-States, >50K\n49, State-gov,122177, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n50, Federal-gov,69614, 10th,6, Separated, Craft-repair, Not-in-family, White, Male,0,0,56, United-States, <=50K\n33, Private,112115, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,45, United-States, >50K\n28, Private,299422, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n81, ?,162882, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n24, Private,112854, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,16, United-States, <=50K\n32, Self-emp-not-inc,33417, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n47, Federal-gov,224559, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K\n44, ?,468706, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n24, Private,357028, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,51158, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,7298,0,36, United-States, >50K\n51, Private,186303, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,127749, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n22, Private,291386, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,138054, Assoc-acdm,12, Never-married, Other-service, Not-in-family, Other, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,174533, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,200835, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,108658, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n43, Private,180985, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n25, Private,34803, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K\n59, Private,75867, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n29, Private,156819, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K\n30, Private,61272, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Portugal, <=50K\n24, Private,39827, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female,0,0,40, Puerto-Rico, <=50K\n38, Private,130007, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,80324, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n26, Private,322614, Preschool,1, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,1719,40, Mexico, <=50K\n30, Private,140869, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n73, Local-gov,181902, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,10, Poland, >50K\n30, Private,287908, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Private,309630, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,28225, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,58, United-States, <=50K\n40, ?,428584, HS-grad,9, Married-civ-spouse, ?, Wife, Black, Female,3464,0,20, United-States, <=50K\n18, Private,39222, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,359131, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298,0,8, ?, >50K\n22, Private,122272, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Self-emp-inc,198400, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, <=50K\n62, ?,73091, 7th-8th,4, Widowed, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, Self-emp-inc,283338, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n22, Private,208946, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,348416, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Private,379046, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n29, Private,183887, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,127961, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n24, Private,211129, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n29, Local-gov,187649, HS-grad,9, Separated, Protective-serv, Other-relative, White, Female,0,0,40, United-States, <=50K\n49, Federal-gov,94754, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,231826, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n28, Private,142764, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K\n22, Private,126822, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,60, United-States, <=50K\n37, Private,188069, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,284395, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n49, Private,31267, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,161444, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Columbia, <=50K\n25, Private,144483, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,133655, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, State-gov,112074, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n21, Private,249727, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,22, United-States, <=50K\n18, Private,165754, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n30, Local-gov,172822, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,288433, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n40, Private,33331, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n43, Private,168071, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, <=50K\n45, Private,207277, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n29, Private,130620, Some-college,10, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Female,0,0,26, India, <=50K\n40, Private,136244, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n43, Private,972354, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,48, United-States, <=50K\n20, Private,245297, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n32, State-gov,71151, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, <=50K\n19, Private,118352, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n21, Private,117210, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,120068, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,48343, 11th,7, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n52, Private,84451, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K\n51, ?,76437, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,281704, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n54, Private,123011, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n50, Private,104729, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Female,0,0,48, United-States, <=50K\n29, Private,110134, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Private,186067, 10th,6, Never-married, Tech-support, Own-child, White, Male,0,0,10, United-States, <=50K\n47, Private,214702, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,37, Puerto-Rico, <=50K\n46, Private,384795, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,32, United-States, <=50K\n30, Private,175931, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,44, United-States, <=50K\n58, Private,366324, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K\n48, Private,118717, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n23, Private,219835, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, Mexico, <=50K\n23, Private,176486, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,36, United-States, <=50K\n45, Private,273435, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,182661, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,20, United-States, <=50K\n26, Private,212304, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K\n50, Local-gov,133963, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, >50K\n49, Private,165152, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K\n26, Private,274724, Some-college,10, Never-married, Other-service, Other-relative, White, Male,0,0,40, Nicaragua, <=50K\n47, Private,196707, Prof-school,15, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,213002, 12th,8, Never-married, Sales, Not-in-family, White, Male,4650,0,50, United-States, <=50K\n19, ?,26620, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,361481, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K\n35, Private,148581, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n46, Private,459189, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,50, United-States, >50K\n28, Self-emp-not-inc,214689, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Private,289364, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, United-States, >50K\n21, Private,174907, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,348099, 10th,6, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n30, ?,104965, 9th,5, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n31, Private,31600, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,286282, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K\n35, Self-emp-not-inc,181705, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K\n33, Private,238912, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n34, Private,134737, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,55, United-States, >50K\n67, ?,157403, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,6418,0,10, United-States, >50K\n37, Private,197429, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, >50K\n48, Private,47343, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n34, Federal-gov,67083, Bachelors,13, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,1471,0,40, Cambodia, <=50K\n24, Private,249957, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,175942, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,40, France, <=50K\n50, Private,192982, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,1848,40, United-States, >50K\n40, Private,209547, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,60, United-States, >50K\n33, Private,142675, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n51, Federal-gov,190333, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,196396, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,166740, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Local-gov,174533, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,210867, 7th-8th,4, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, ?, <=50K\n37, Private,118486, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,4934,0,32, United-States, >50K\n40, Private,144067, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,106964, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,178136, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n38, Private,196554, Prof-school,15, Separated, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, >50K\n40, Self-emp-not-inc,403550, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,498216, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,192755, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,20, United-States, >50K\n20, ?,53738, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K\n33, Private,156192, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n45, Private,189802, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, ?,213149, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,1825,40, United-States, >50K\n35, Self-emp-not-inc,179171, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,38, Germany, <=50K\n32, Private,77634, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n23, Private,189830, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,50, United-States, <=50K\n19, Private,127190, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n44, ?,174147, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,138107, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,35, United-States, <=50K\n44, Self-emp-inc,269733, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n41, State-gov,227734, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,3464,0,40, United-States, <=50K\n19, Private,318822, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n48, Private,48885, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n45, Private,205424, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n40, Private,173858, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,42, Cambodia, <=50K\n34, Private,202450, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n20, Private,154779, Some-college,10, Never-married, Sales, Other-relative, Other, Female,0,0,40, United-States, <=50K\n33, Private,180551, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,177522, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n23, Private,277328, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,32, Cuba, <=50K\n34, Private,112584, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K\n48, State-gov,85384, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n32, ?,123971, 11th,7, Divorced, ?, Not-in-family, White, Female,0,0,49, United-States, <=50K\n42, Private,69019, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n22, Private,112847, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,52900, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K\n42, Private,37937, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n45, Private,59380, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n47, Private,114770, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K\n29, Private,216481, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n34, Private,176469, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K\n34, Private,176831, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K\n39, Federal-gov,410034, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,93662, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,24, United-States, <=50K\n42, Self-emp-inc,144236, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n48, Private,240917, 11th,7, Separated, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n53, Private,608184, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1902,40, United-States, >50K\n51, Private,243361, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n44, Self-emp-not-inc,35166, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,90, United-States, <=50K\n46, Self-emp-inc,182655, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n51, Private,142717, Doctorate,16, Divorced, Craft-repair, Not-in-family, White, Female,4787,0,60, United-States, >50K\n32, Private,272944, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, ?,219233, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,1602,30, United-States, <=50K\n24, Private,228686, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K\n33, Private,236818, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,26, United-States, <=50K\n47, Self-emp-not-inc,117865, HS-grad,9, Married-AF-spouse, Craft-repair, Husband, White, Male,0,0,90, United-States, <=50K\n64, Self-emp-not-inc,106538, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n62, Private,153891, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,190909, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,191002, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, Poland, <=50K\n42, Private,89073, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K\n38, Federal-gov,238342, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,42, United-States, >50K\n55, Private,259532, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n29, ?,189282, HS-grad,9, Married-civ-spouse, ?, Not-in-family, White, Female,0,0,27, United-States, <=50K\n42, Private,132481, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,24, United-States, <=50K\n30, Private,205659, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, Thailand, >50K\n32, Private,182323, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, ?,216256, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,3464,0,30, United-States, <=50K\n50, Federal-gov,166419, 11th,7, Never-married, Sales, Not-in-family, Black, Female,3674,0,40, United-States, <=50K\n27, Private,152246, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n47, Private,155659, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n33, Private,155198, 9th,5, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,35, United-States, <=50K\n48, Self-emp-not-inc,100931, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,162945, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n31, Federal-gov,334346, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,181597, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,133969, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,63, South, <=50K\n50, Private,210217, Bachelors,13, Divorced, Sales, Unmarried, Black, Male,0,0,40, United-States, <=50K\n49, Private,169711, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Germany, >50K\n57, ?,300104, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,7298,0,84, United-States, >50K\n19, Private,271521, HS-grad,9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,24, United-States, <=50K\n18, Private,51255, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n44, Self-emp-not-inc,26669, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,99, United-States, <=50K\n54, Private,194580, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n35, State-gov,177974, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n27, State-gov,315640, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,20, China, <=50K\n50, Self-emp-inc,136913, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n43, State-gov,230961, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,167062, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n47, Private,120131, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,243368, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, Mexico, <=50K\n30, Private,171876, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n19, Private,136866, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K\n40, Private,316820, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,1485,40, United-States, <=50K\n55, Private,185459, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n67, ?,81761, HS-grad,9, Divorced, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n31, Private,43716, Assoc-voc,11, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,43, United-States, <=50K\n30, Private,220939, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, ?,148657, Preschool,1, Married-civ-spouse, ?, Wife, White, Female,0,0,40, Mexico, <=50K\n51, Federal-gov,40808, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0,0,43, United-States, <=50K\n34, Private,183473, HS-grad,9, Divorced, Transport-moving, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Private,108496, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n50, Private,204838, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K\n29, Private,132686, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n17, State-gov,117906, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,304386, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n52, ?,248113, Preschool,1, Married-spouse-absent, ?, Other-relative, White, Male,0,0,40, Mexico, <=50K\n39, Private,165215, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,18, United-States, >50K\n18, ?,215463, 12th,8, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n32, Private,259719, Some-college,10, Divorced, Handlers-cleaners, Unmarried, Black, Male,0,0,40, Nicaragua, <=50K\n25, ?,35829, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,50, United-States, <=50K\n34, Private,248795, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,45, United-States, <=50K\n44, Self-emp-not-inc,124692, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n37, Local-gov,128054, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,179731, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,2415,65, United-States, >50K\n32, Self-emp-inc,113543, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,252153, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K\n45, Federal-gov,45891, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Male,0,0,42, United-States, <=50K\n30, Private,112263, 11th,7, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,47791, 12th,8, Divorced, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K\n41, Private,202980, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,4, Peru, <=50K\n21, Private,34918, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n48, Private,91251, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,30, China, <=50K\n31, Private,132996, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,45, United-States, >50K\n34, Private,306215, Assoc-voc,11, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n25, Private,203570, HS-grad,9, Separated, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,355918, Bachelors,13, Separated, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n35, Self-emp-not-inc,198841, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n42, Private,282964, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,312197, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,75, Mexico, >50K\n44, Private,98779, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,60, United-States, <=50K\n32, Private,200246, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,182771, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n23, Private,199908, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,172104, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Other, Male,0,0,40, India, >50K\n53, Self-emp-not-inc,35295, Bachelors,13, Never-married, Sales, Unmarried, White, Male,0,0,60, United-States, >50K\n27, Private,216858, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,52, United-States, <=50K\n27, Private,332187, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,65, United-States, <=50K\n57, Private,255109, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n17, Private,111332, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n59, Local-gov,238431, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n34, Private,131552, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Private,110239, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n31, State-gov,255830, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Black, Female,0,0,45, United-States, <=50K\n18, ?,175648, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,82998, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n19, Private,164320, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Self-emp-not-inc,263498, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,162381, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,229651, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,357348, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K\n19, Private,269657, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n38, Local-gov,82880, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,15, United-States, <=50K\n19, Private,389755, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K\n34, Private,195136, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,40, United-States, >50K\n41, Private,207685, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, ?, <=50K\n23, Private,222925, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,2105,0,40, United-States, <=50K\n24, ?,196388, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,0,0,12, United-States, <=50K\n24, Private,50341, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,214134, 10th,6, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,84, United-States, <=50K\n45, Private,114032, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n45, Private,192053, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n48, Private,240231, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, >50K\n42, Private,44402, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n35, Self-emp-not-inc,191503, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,163530, HS-grad,9, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n51, Local-gov,136823, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,32, United-States, <=50K\n59, Private,121912, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n31, Local-gov,58624, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Local-gov,74056, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Private,144259, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,4386,0,80, ?, >50K\n57, Private,182028, Assoc-acdm,12, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n40, Private,209040, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,206046, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,182494, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,185057, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,35, Scotland, <=50K\n60, Private,147473, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n53, Local-gov,221722, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,14344,0,50, United-States, >50K\n20, ?,388811, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,221912, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,48189, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n29, State-gov,382272, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,48347, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,143046, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,38, United-States, >50K\n63, Self-emp-inc,137940, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n28, Private,249571, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n79, Private,121318, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,20, United-States, <=50K\n39, Private,224531, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n29, Private,185019, 12th,8, Never-married, Other-service, Not-in-family, Other, Male,0,0,40, United-States, <=50K\n60, Private,27886, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Private,94741, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,24, United-States, <=50K\n20, Private,107801, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,2205,18, United-States, <=50K\n44, Private,191256, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K\n47, Private,256866, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n59, Private,197148, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,24, United-States, >50K\n37, Private,312271, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, <=50K\n21, Private,118657, HS-grad,9, Separated, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n68, Private,224338, Assoc-voc,11, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,242488, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,5013,0,40, United-States, <=50K\n23, ?,234970, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n23, Private,227915, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,0,0,33, United-States, <=50K\n40, Local-gov,105717, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,1876,35, United-States, <=50K\n45, Self-emp-not-inc,160962, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n34, ?,353881, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,3103,0,60, United-States, >50K\n22, Private,188950, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,201328, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,218678, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,49, United-States, <=50K\n23, Private,184255, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n39, Federal-gov,200968, Some-college,10, Married-civ-spouse, Adm-clerical, Other-relative, White, Male,0,0,45, United-States, >50K\n26, Private,102264, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,300584, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n22, Private,208946, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K\n36, Private,105021, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n20, Private,124751, Some-college,10, Never-married, Priv-house-serv, Own-child, White, Female,0,0,20, United-States, <=50K\n18, Private,274057, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,8, United-States, <=50K\n38, Private,132879, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n43, Self-emp-inc,260960, Bachelors,13, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,35, United-States, <=50K\n56, Private,208415, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,40, ?, <=50K\n42, Private,356934, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,154410, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,35378, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n73, Private,301210, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1735,20, United-States, <=50K\n32, Private,73621, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,42, United-States, <=50K\n37, Private,108140, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K\n66, Private,217198, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,10, United-States, <=50K\n22, Private,157332, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n51, Private,202956, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,173495, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n65, Private,149811, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,2206,59, Canada, <=50K\n39, Private,444219, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, Black, Female,0,0,45, United-States, <=50K\n48, Private,125120, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,37, United-States, <=50K\n20, Private,190429, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, ?,190303, Assoc-acdm,12, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K\n48, Private,248164, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,4386,0,50, United-States, >50K\n29, Federal-gov,208534, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, <=50K\n36, Self-emp-not-inc,343721, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, ?, >50K\n35, Self-emp-inc,196373, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n31, Private,433788, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n48, State-gov,122086, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,137314, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K\n40, Self-emp-not-inc,33068, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n57, Private,210688, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, <=50K\n26, Local-gov,117833, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,4865,0,35, United-States, <=50K\n37, State-gov,103474, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n65, Private,115880, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n26, Self-emp-not-inc,233933, 10th,6, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K\n42, Private,52781, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,586657, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Japan, >50K\n62, Private,113080, 7th-8th,4, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,251905, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,50, United-States, <=50K\n76, Self-emp-not-inc,225964, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,8, United-States, <=50K\n20, ?,194096, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,263831, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,133136, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,121634, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K\n22, Self-emp-inc,40767, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Federal-gov,355789, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,50, United-States, <=50K\n43, Local-gov,311914, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,91189, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n44, Federal-gov,344060, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,113823, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, State-gov,185800, Masters,14, Divorced, Prof-specialty, Unmarried, Black, Female,7430,0,40, United-States, >50K\n30, Private,76107, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, >50K\n23, Private,117618, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n39, Private,238008, HS-grad,9, Widowed, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Private,136480, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n50, Private,285200, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,35, United-States, >50K\n19, Private,351040, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Puerto-Rico, <=50K\n35, Private,1226583, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K\n23, Private,195767, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,187540, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,79372, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,226665, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,42, United-States, >50K\n52, Private,213209, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,211005, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,60, United-States, <=50K\n24, Private,96178, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Private,328216, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n39, Private,110713, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n45, Self-emp-not-inc,225456, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n62, Local-gov,159908, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1258,38, United-States, <=50K\n43, Private,118308, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n45, Private,180309, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,39630, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,273828, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n56, Private,172071, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, Jamaica, <=50K\n28, Private,218887, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Female,0,0,35, United-States, <=50K\n23, Private,664670, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n43, Private,209149, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n26, Private,84619, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,447346, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n55, Local-gov,37869, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n48, State-gov,99086, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n43, Private,143582, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,2129,72, ?, <=50K\n38, Private,326886, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n18, Private,181755, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n56, Self-emp-not-inc,249368, HS-grad,9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, <=50K\n39, Self-emp-not-inc,326400, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,504725, 5th-6th,3, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,50, Mexico, <=50K\n36, Private,88967, 11th,7, Never-married, Transport-moving, Unmarried, Amer-Indian-Eskimo, Male,0,0,65, United-States, <=50K\n42, Self-emp-not-inc,170721, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2002,40, United-States, <=50K\n50, Private,148953, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,342752, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n57, Private,220871, 7th-8th,4, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n73, Private,29675, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,0,12, United-States, <=50K\n50, Federal-gov,183611, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,115215, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,45, United-States, <=50K\n27, Private,152231, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n24, ?,41356, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,225142, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Self-emp-not-inc,121313, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,134821, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Private,311350, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,102106, 10th,6, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n47, Private,427055, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, Mexico, <=50K\n40, Private,117860, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n58, Private,285885, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,212800, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,194864, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,18, United-States, <=50K\n36, Private,31438, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,43, United-States, <=50K\n46, Private,148254, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K\n69, Private,113035, 1st-4th,2, Widowed, Priv-house-serv, Not-in-family, Black, Female,0,0,4, United-States, <=50K\n69, Private,106595, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,1848,0,40, United-States, <=50K\n28, Private,144521, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n20, Private,172232, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,48, United-States, <=50K\n54, State-gov,123592, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,3887,0,35, United-States, <=50K\n25, Private,191921, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n64, Local-gov,237379, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3471,0,40, United-States, <=50K\n17, Private,208463, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n53, Federal-gov,68985, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,22418, 9th,5, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n57, Private,163047, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,38, United-States, <=50K\n51, Private,153870, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2603,40, United-States, <=50K\n20, ?,124954, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n47, Private,197702, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,166415, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,52, United-States, <=50K\n50, State-gov,116211, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, >50K\n20, Private,33644, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n43, State-gov,33331, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,70, United-States, >50K\n46, Private,73019, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,169182, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, Puerto-Rico, <=50K\n53, Private,20438, Some-college,10, Separated, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,15, United-States, <=50K\n21, Private,109869, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K\n58, Private,316849, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,208043, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n61, Private,153790, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n56, State-gov,153451, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n59, Private,96840, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n72, Private,192732, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,20, United-States, <=50K\n33, Private,209101, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,146919, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n46, Local-gov,192323, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, >50K\n48, Private,217019, HS-grad,9, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,28, United-States, <=50K\n33, Private,198211, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,222490, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,106758, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n31, Private,561334, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,203710, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Local-gov,203322, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n51, Private,123703, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,40, United-States, >50K\n46, State-gov,312015, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n25, Private,209428, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, El-Salvador, <=50K\n61, Private,230292, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,40, United-States, >50K\n17, Private,114420, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n26, Private,120238, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n35, Private,100375, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n33, Self-emp-not-inc,42485, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n37, Private,130620, 12th,8, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,33, ?, <=50K\n39, Local-gov,134367, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n42, Private,147099, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n35, Private,36214, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,47, United-States, >50K\n45, Private,119904, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,50, United-States, >50K\n47, Self-emp-inc,105779, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, >50K\n64, Private,165020, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n39, Private,187098, Prof-school,15, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,47, United-States, >50K\n43, ?,142030, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,241360, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K\n62, Private,121319, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K\n53, Private,151580, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n31, Private,162572, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,35917, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-inc,35723, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n43, Private,194773, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,62155, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n45, Self-emp-not-inc,192203, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, >50K\n46, Private,174370, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n26, Private,161007, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,80, United-States, <=50K\n24, Private,270517, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, Mexico, <=50K\n43, Private,163847, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n40, Private,193882, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n61, Private,160037, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n34, Federal-gov,189944, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,72, United-States, <=50K\n85, Private,115364, HS-grad,9, Widowed, Sales, Unmarried, White, Male,0,0,35, United-States, <=50K\n41, Private,163174, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, State-gov,188900, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,3325,0,35, United-States, <=50K\n22, Private,214399, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n60, Private,156616, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n29, Private,204862, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K\n34, ?,55921, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n35, State-gov,172475, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,2977,0,45, United-States, <=50K\n24, Private,153082, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n45, Local-gov,195418, Masters,14, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n21, Local-gov,276840, 12th,8, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n30, Private,97933, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Wife, White, Female,0,1485,37, United-States, >50K\n50, Self-emp-inc,119099, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, >50K\n41, Self-emp-not-inc,83411, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,198992, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,33, United-States, <=50K\n45, Private,337825, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n34, Private,192002, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,189346, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,231962, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n26, Private,164488, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,13550,0,50, United-States, >50K\n48, Private,200471, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n69, Private,228921, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Male,0,2282,40, United-States, >50K\n41, Private,184846, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,233851, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,499001, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, Mexico, <=50K\n65, Local-gov,125768, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,28, United-States, <=50K\n31, Private,255004, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1741,38, United-States, <=50K\n28, Private,157624, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,146767, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,118291, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,80, United-States, <=50K\n43, Private,313181, HS-grad,9, Divorced, Adm-clerical, Other-relative, Black, Male,0,0,38, United-States, <=50K\n31, Private,87891, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,226443, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n45, Private,81132, Some-college,10, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n20, Private,216436, Bachelors,13, Never-married, Sales, Other-relative, Black, Female,0,0,30, United-States, <=50K\n25, Private,213412, Bachelors,13, Never-married, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Private,179358, HS-grad,9, Widowed, Handlers-cleaners, Unmarried, White, Female,0,0,30, United-States, <=50K\n31, Private,369825, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,4101,0,50, United-States, <=50K\n56, Private,199763, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n26, Private,239390, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,18, United-States, <=50K\n47, Self-emp-not-inc,173613, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,65, United-States, <=50K\n40, Self-emp-inc,37869, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,302845, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,48, United-States, <=50K\n34, State-gov,85218, Masters,14, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,24, United-States, <=50K\n37, Private,48268, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n38, Private,173968, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n19, Private,70982, Assoc-voc,11, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,16, United-States, <=50K\n49, Private,166857, 9th,5, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, ?,256191, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,25, United-States, <=50K\n26, Private,162872, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n82, Private,152148, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,2, United-States, <=50K\n40, Private,139193, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,791084, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n23, Private,137214, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,37, United-States, <=50K\n19, Private,183258, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n67, Private,154035, HS-grad,9, Widowed, Handlers-cleaners, Other-relative, Black, Male,0,0,32, United-States, <=50K\n43, Private,115323, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,40, United-States, >50K\n41, Private,213055, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Other, Female,0,0,50, United-States, <=50K\n37, Private,155064, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,33551, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,169995, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n47, Private,168262, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,99999,0,50, United-States, >50K\n40, Private,104196, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n39, State-gov,114055, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,274398, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K\n78, ?,27979, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2228,0,32, United-States, <=50K\n67, ?,244122, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,1, United-States, <=50K\n49, Private,196571, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n66, Private,101607, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,10, United-States, <=50K\n52, Private,122109, HS-grad,9, Never-married, Prof-specialty, Unmarried, White, Female,0,323,40, United-States, <=50K\n59, Self-emp-inc,255822, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n72, Private,195184, HS-grad,9, Widowed, Priv-house-serv, Unmarried, White, Female,0,0,12, Cuba, <=50K\n35, Federal-gov,245372, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,169583, Bachelors,13, Married-AF-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n36, Private,224531, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,186151, HS-grad,9, Separated, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,118693, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n39, Private,297449, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-not-inc,125206, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,393264, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,108140, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n63, Private,264968, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,318106, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,156025, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, State-gov,149455, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n25, Private,359985, 5th-6th,3, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,33, Mexico, <=50K\n44, State-gov,165108, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,115178, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n21, Private,149224, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K\n41, Local-gov,352056, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,174717, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n75, ?,173064, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K\n29, Private,147755, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,40, United-States, <=50K\n52, Self-emp-not-inc,135716, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n47, Private,44216, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n28, Private,37359, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n24, Private,178255, Some-college,10, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,40, ?, <=50K\n30, State-gov,70617, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,10, China, <=50K\n30, Private,154950, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n40, Private,356934, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n27, Private,271714, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n26, Private,247025, HS-grad,9, Never-married, Protective-serv, Unmarried, White, Male,0,0,44, United-States, <=50K\n32, Private,107417, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K\n36, State-gov,116554, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,917220, 12th,8, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n25, Private,430084, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, Private,202937, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, Poland, <=50K\n27, Private,62737, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,508548, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n38, Self-emp-inc,275223, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n35, Self-emp-not-inc,381931, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n29, Private,246974, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,105431, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n36, Private,146311, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,159869, Doctorate,16, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n21, Private,204641, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,66297, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K\n38, Private,227615, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n66, ?,107744, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,360393, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n19, Private,263340, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n18, Private,141918, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,22, United-States, <=50K\n37, Private,294292, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,128736, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Local-gov,511289, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, >50K\n27, Private,302406, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n34, Local-gov,101517, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n54, State-gov,161334, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, China, <=50K\n24, Self-emp-inc,189148, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,103111, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n48, Self-emp-not-inc,51620, Bachelors,13, Separated, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n23, Private,31606, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,34292, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,38, United-States, <=50K\n21, Private,107882, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,9, United-States, <=50K\n18, Private,39529, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K\n18, Private,135315, 9th,5, Never-married, Sales, Own-child, Other, Female,0,0,32, United-States, <=50K\n29, Private,107812, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,229729, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,111891, HS-grad,9, Separated, Machine-op-inspct, Other-relative, Black, Female,0,0,40, United-States, <=50K\n32, Private,340917, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Private,202952, 10th,6, Divorced, Other-service, Not-in-family, Black, Female,0,0,24, United-States, <=50K\n79, Private,333230, HS-grad,9, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,6, United-States, <=50K\n34, Private,114955, Assoc-acdm,12, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,159869, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n50, Self-emp-not-inc,57758, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n29, Private,207064, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,193090, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,3674,0,40, United-States, <=50K\n64, Private,151364, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n70, Local-gov,88638, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,7896,0,50, United-States, >50K\n28, Local-gov,304960, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,1980,40, United-States, <=50K\n51, Private,102828, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Greece, <=50K\n20, ?,210029, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n34, State-gov,154246, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,4865,0,55, United-States, <=50K\n29, Private,142519, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Private,104455, Bachelors,13, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n77, Self-emp-inc,192230, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,292592, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n27, Private,330132, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n22, Private,51111, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Local-gov,258037, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Cuba, >50K\n42, Local-gov,188291, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,40, United-States, >50K\n35, State-gov,349066, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n62, ?,191188, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,133503, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,2635,0,16, United-States, <=50K\n45, Private,146497, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K\n19, Private,240468, Some-college,10, Married-spouse-absent, Sales, Own-child, White, Female,0,1602,40, United-States, <=50K\n38, Private,175120, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,416577, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,45, United-States, <=50K\n29, Private,253814, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n33, Private,159247, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n35, Self-emp-not-inc,102471, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,80, Puerto-Rico, <=50K\n42, Private,213464, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,211968, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n43, Federal-gov,32016, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n69, Private,512992, 11th,7, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,45, United-States, <=50K\n39, Private,135020, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,109133, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Portugal, <=50K\n28, Private,142712, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Federal-gov,76900, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,112176, Some-college,10, Divorced, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n43, Federal-gov,262233, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n49, Private,122066, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, Hungary, <=50K\n28, Private,194690, 7th-8th,4, Separated, Other-service, Own-child, White, Male,0,0,60, Mexico, <=50K\n35, Private,306678, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2885,0,40, United-States, <=50K\n19, ?,217769, Some-college,10, Never-married, ?, Own-child, White, Female,594,0,10, United-States, <=50K\n35, Local-gov,308945, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,46699, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n45, Private,377757, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,220993, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,1590,48, United-States, <=50K\n45, Private,102147, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,113770, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n35, Private,139012, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n45, Private,148900, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n28, Federal-gov,329426, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n64, Self-emp-inc,181408, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K\n44, Local-gov,101950, Prof-school,15, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,32537, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,209547, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,202373, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,25, United-States, <=50K\n29, Self-emp-not-inc,151476, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,2174,0,40, United-States, <=50K\n51, Self-emp-not-inc,174824, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,8614,0,40, United-States, >50K\n22, Private,138768, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Private,143482, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n53, Private,200190, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, >50K\n38, Private,168407, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,5721,0,44, United-States, <=50K\n23, Private,148315, Some-college,10, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,270517, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, Mexico, <=50K\n40, Private,53506, Bachelors,13, Divorced, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,105693, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,189589, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,164574, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n37, Private,185744, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,20, United-States, <=50K\n40, Local-gov,33155, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,215955, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,40, United-States, >50K\n38, Self-emp-not-inc,233571, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,211253, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Federal-gov,191385, Assoc-acdm,12, Divorced, Protective-serv, Not-in-family, White, Male,2174,0,40, United-States, <=50K\n20, Private,137895, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n62, State-gov,159699, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K\n31, Private,295922, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,175856, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n24, Private,216129, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n62, Local-gov,407669, 7th-8th,4, Widowed, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n43, Local-gov,214242, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,285457, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K\n30, Self-emp-inc,124420, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n22, ?,246386, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n18, Private,142751, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Local-gov,283635, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Self-emp-not-inc,322931, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,40, United-States, >50K\n49, Private,76482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, State-gov,431745, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n48, Private,141944, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,40, United-States, >50K\n32, Private,193042, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K\n33, Private,67006, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,45, United-States, <=50K\n23, Private,240398, Bachelors,13, Never-married, Sales, Not-in-family, Black, Male,0,0,15, United-States, <=50K\n33, Federal-gov,182714, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,65, United-States, >50K\n50, Federal-gov,172046, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,185177, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, <=50K\n32, Private,102858, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2002,42, United-States, <=50K\n39, Private,84954, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,2829,0,65, United-States, <=50K\n21, Private,115895, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n23, Private,184589, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,21, United-States, <=50K\n32, Private,282611, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Private,218649, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n22, State-gov,157541, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,10, United-States, <=50K\n70, Private,145419, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,5, United-States, <=50K\n34, Private,122616, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,84, United-States, >50K\n53, Private,204584, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,117210, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K\n37, Private,69481, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,148492, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,50, United-States, >50K\n23, Private,106957, 11th,7, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,14344,0,40, Vietnam, >50K\n32, Private,29312, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, >50K\n57, Private,120302, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n65, ?,111916, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,182227, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n30, Private,219110, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K\n31, Private,200192, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Germany, <=50K\n19, Private,427862, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n23, State-gov,33551, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, <=50K\n44, Private,164043, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n43, ?,116632, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, >50K\n42, Private,175133, Some-college,10, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,289731, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,256362, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,282612, Assoc-voc,11, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n21, Private,73679, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,237824, HS-grad,9, Married-spouse-absent, Priv-house-serv, Other-relative, Black, Female,0,0,60, Jamaica, <=50K\n36, Local-gov,357720, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,155489, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, Poland, <=50K\n44, Private,138077, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K\n42, Private,183479, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,103596, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,99, United-States, <=50K\n33, Private,172304, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,313853, Bachelors,13, Divorced, Other-service, Unmarried, Black, Male,0,0,45, United-States, >50K\n17, Private,294485, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n20, Private,637080, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K\n32, Private,385959, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n33, Self-emp-not-inc,116539, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,129263, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,60, United-States, <=50K\n60, Private,141253, 10th,6, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,48, United-States, <=50K\n35, State-gov,35626, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,15, United-States, <=50K\n43, Federal-gov,94937, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,220269, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n29, Self-emp-not-inc,169544, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,40, United-States, >50K\n36, Private,214604, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, >50K\n27, Private,81540, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,24013, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,84, United-States, >50K\n22, Private,124940, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0,0,44, United-States, <=50K\n33, State-gov,313729, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n61, Private,192237, 10th,6, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, ?,168524, Assoc-voc,11, Married-civ-spouse, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,113324, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, >50K\n22, Private,215477, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,199903, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,431861, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,105938, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,1602,20, United-States, <=50K\n28, Private,274679, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n25, Private,177499, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,1590,35, United-States, <=50K\n28, Private,206125, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,221740, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K\n58, Private,202652, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K\n39, Private,348960, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,171876, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n59, Private,157932, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n58, Private,201344, Bachelors,13, Divorced, Craft-repair, Own-child, White, Female,0,0,20, United-States, <=50K\n38, Private,354739, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,36, Philippines, >50K\n34, Private,40067, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,326862, Some-college,10, Divorced, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n48, Local-gov,189762, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n65, ?,149049, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,226246, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n80, ?,29020, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,10605,0,10, United-States, >50K\n23, Private,38251, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n33, Private,196385, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, >50K\n38, Self-emp-not-inc,217054, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,104973, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n48, Local-gov,238959, Masters,14, Divorced, Exec-managerial, Unmarried, Black, Female,9562,0,40, United-States, >50K\n40, State-gov,34218, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Local-gov,292962, HS-grad,9, Never-married, Craft-repair, Other-relative, Black, Female,0,0,40, United-States, <=50K\n45, Private,235924, Bachelors,13, Divorced, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,98656, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n70, Private,102610, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,80, United-States, <=50K\n32, Local-gov,296466, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n33, Private,323069, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,184756, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Local-gov,233993, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K\n22, Private,130724, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,25, United-States, <=50K\n52, Self-emp-inc,181855, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Other, Male,99999,0,65, United-States, >50K\n67, Self-emp-not-inc,127543, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,2414,0,80, United-States, <=50K\n40, Private,187164, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,45, United-States, <=50K\n55, Private,113912, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, <=50K\n29, Private,216479, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n62, Private,135480, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,16, United-States, <=50K\n22, Private,204160, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n64, State-gov,114650, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,240172, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Male,0,0,50, United-States, <=50K\n28, Private,184831, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,124590, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K\n47, State-gov,120429, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n26, Private,202033, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,156874, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,27, United-States, <=50K\n52, Self-emp-inc,177727, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,4064,0,45, United-States, <=50K\n48, Local-gov,334409, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n36, Private,311255, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, Haiti, <=50K\n23, Private,214227, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n41, Private,115849, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n56, State-gov,671292, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, >50K\n53, Private,31460, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,141824, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,310152, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n25, Private,179953, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,2597,0,31, United-States, <=50K\n31, Private,137952, Some-college,10, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, Puerto-Rico, <=50K\n36, Private,103323, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2829,0,40, United-States, <=50K\n46, Private,174426, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n46, State-gov,192779, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Male,0,2258,38, United-States, >50K\n32, Private,169955, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,36, Puerto-Rico, <=50K\n43, Self-emp-not-inc,48087, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K\n30, Private,132601, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n41, Self-emp-inc,253060, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,45, United-States, >50K\n50, Private,108435, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,60, United-States, >50K\n37, State-gov,210452, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K\n22, Local-gov,134181, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,50, United-States, <=50K\n51, Federal-gov,45487, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, <=50K\n47, Private,183522, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, >50K\n40, Private,199303, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,83064, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n23, ?,134997, Some-college,10, Separated, ?, Unmarried, White, Female,0,0,20, United-States, <=50K\n30, Private,44419, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,442612, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n31, Local-gov,158092, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n31, Private,374833, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n30, Private,112650, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,183390, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n27, Private,207418, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n22, ?,335453, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,16, United-States, <=50K\n29, Private,243660, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,54243, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n54, Private,50385, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,45, United-States, >50K\n47, State-gov,187581, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, >50K\n34, Private,37380, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,247025, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, ?,29231, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K\n23, State-gov,101094, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,60, United-States, <=50K\n42, Local-gov,176716, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,118429, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n52, Federal-gov,221532, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K\n22, ?,120572, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Local-gov,124680, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,153160, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,114678, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,5455,0,40, United-States, <=50K\n49, State-gov,142856, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,29702, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n20, Private,277700, Preschool,1, Never-married, Other-service, Own-child, White, Male,0,0,32, United-States, <=50K\n55, Self-emp-inc,67433, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n47, Private,121124, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,394447, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,33, United-States, >50K\n36, Private,79649, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,203763, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Female,0,0,80, United-States, <=50K\n55, Private,229029, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,48, United-States, >50K\n21, ?,494638, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K\n48, Private,162816, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n30, Private,109117, Assoc-voc,11, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K\n24, Private,32732, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n57, Self-emp-not-inc,217692, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,0,0,38, United-States, <=50K\n20, Private,34590, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K\n18, ?,276864, Some-college,10, Never-married, ?, Own-child, White, Female,0,1602,20, United-States, <=50K\n56, Private,168625, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,4101,0,40, United-States, <=50K\n36, Private,91037, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n44, Private,171484, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,200453, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, United-States, >50K\n57, Private,36990, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,52, United-States, <=50K\n33, Private,198211, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n61, ?,30475, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,70995, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,99, United-States, >50K\n28, Private,245790, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,273324, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,1721,16, United-States, <=50K\n60, Private,182687, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Local-gov,247807, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K\n58, Private,163113, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,35, United-States, >50K\n50, Private,180522, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,38, United-States, <=50K\n23, Local-gov,203353, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,12, United-States, <=50K\n30, Private,87469, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, ?,216563, 11th,7, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K\n90, Private,87372, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,72, United-States, >50K\n49, Local-gov,173584, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n47, Local-gov,80282, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3137,0,40, United-States, <=50K\n34, Private,319854, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Taiwan, >50K\n37, Federal-gov,408229, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,431307, 10th,6, Married-civ-spouse, Protective-serv, Wife, Black, Female,0,0,50, United-States, <=50K\n37, Private,134088, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,246396, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K\n34, Private,159255, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n34, Private,106014, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,186934, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n39, Private,120130, Some-college,10, Separated, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n32, State-gov,203849, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,19, United-States, <=50K\n24, Private,207940, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K\n28, Private,302406, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n41, Self-emp-not-inc,144594, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2179,40, United-States, <=50K\n69, ?,171050, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,9, United-States, <=50K\n32, Private,459007, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,90, United-States, <=50K\n58, Private,372181, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, >50K\n47, Self-emp-not-inc,172034, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,75, United-States, >50K\n41, Private,156566, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,50, United-States, >50K\n35, Self-emp-inc,338320, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,353696, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, Canada, <=50K\n46, Self-emp-not-inc,342907, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, >50K\n69, Self-emp-inc,169717, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,6418,0,45, United-States, >50K\n22, Private,103762, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n36, State-gov,47570, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,119432, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n23, Local-gov,144165, Bachelors,13, Never-married, Prof-specialty, Own-child, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K\n35, Private,180647, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n37, Local-gov,312232, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,5178,0,40, United-States, >50K\n35, State-gov,150488, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,200876, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,16, United-States, <=50K\n43, Private,188199, 9th,5, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n53, State-gov,118793, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n54, Local-gov,204325, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, <=50K\n29, Private,256671, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n46, Private,231515, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,47, Cuba, <=50K\n24, Private,100669, Some-college,10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K\n30, Private,88913, Some-college,10, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n23, Private,363219, Some-college,10, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,6, United-States, <=50K\n27, ?,291547, Bachelors,13, Married-civ-spouse, ?, Not-in-family, Other, Female,0,0,6, Mexico, <=50K\n36, Private,308945, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,100316, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n33, Private,296453, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,15, United-States, <=50K\n66, Private,298834, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Canada, <=50K\n45, Self-emp-not-inc,188694, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n68, ?,29240, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K\n37, Private,186934, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K\n17, Private,154908, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n31, Private,22201, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K\n46, Private,216999, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n40, Private,186916, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,116677, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,95763, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n42, Private,266710, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,41, United-States, <=50K\n46, Private,117849, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n30, Private,242460, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n33, Self-emp-not-inc,202729, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,181652, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,174760, Assoc-acdm,12, Married-spouse-absent, Farming-fishing, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n34, Private,56121, 11th,7, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n40, Private,390369, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,149726, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,51262, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,190350, 12th,8, Never-married, Other-service, Unmarried, Black, Female,0,0,35, ?, <=50K\n53, Federal-gov,205288, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,35, United-States, >50K\n36, Private,154835, HS-grad,9, Separated, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n45, Private,89028, HS-grad,9, Divorced, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,10520,0,40, United-States, >50K\n36, Private,194630, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, Self-emp-not-inc,212207, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,11, United-States, <=50K\n27, Private,204788, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,158688, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,97723, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,193026, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n36, Self-emp-not-inc,257250, 7th-8th,4, Never-married, Farming-fishing, Own-child, White, Male,0,0,75, United-States, <=50K\n48, Private,355978, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,200574, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K\n21, Private,376929, 5th-6th,3, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n47, State-gov,123219, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n41, Private,82778, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n61, Self-emp-not-inc,115882, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n64, Private,103021, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,297767, Some-college,10, Separated, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n44, Private,259479, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K\n20, Private,167787, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n23, Local-gov,40021, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,70, United-States, <=50K\n52, Private,245275, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K\n43, Private,37402, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,25, United-States, <=50K\n32, Private,103608, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n63, Private,137192, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n29, Private,137618, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,41, United-States, >50K\n42, Self-emp-inc,96509, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, Taiwan, <=50K\n65, Private,196174, 10th,6, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,28, United-States, <=50K\n24, Private,172612, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,141186, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,228190, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Self-emp-inc,190290, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, ?, >50K\n38, Federal-gov,307404, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,152436, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n46, Self-emp-not-inc,182541, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1672,50, United-States, <=50K\n39, Private,282153, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n29, ?,41281, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K\n42, Private,162003, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,36, United-States, >50K\n36, Private,190759, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n26, Private,208122, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K\n57, Private,173832, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n55, Private,129173, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,287548, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n41, Private,216116, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, ?, <=50K\n24, Private,146706, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n47, Private,285200, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-inc,314375, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n44, Private,203943, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,35, United-States, >50K\n18, ?,274746, HS-grad,9, Never-married, ?, Unmarried, White, Female,0,0,20, United-States, <=50K\n27, Private,517000, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,35, United-States, <=50K\n36, Private,66173, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n21, Private,182823, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n29, Private,159479, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,55, United-States, <=50K\n25, Private,135568, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n73, Private,333676, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n45, Private,201699, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,96020, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n43, Private,176138, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n47, Private,47496, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K\n20, Private,187158, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n22, Private,249727, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K\n76, Self-emp-not-inc,237624, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K\n24, Private,175254, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,42924, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,205950, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,111985, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,58, United-States, <=50K\n30, Private,167476, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K\n40, Private,221172, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n27, ?,188711, Some-college,10, Divorced, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n49, Private,199448, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,313038, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,148431, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Other, Female,0,0,40, United-States, <=50K\n19, Private,112432, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,58, United-States, <=50K\n46, Private,57914, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,145166, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n56, Private,247119, 7th-8th,4, Widowed, Machine-op-inspct, Unmarried, Other, Female,0,0,40, Dominican-Republic, <=50K\n53, Private,196278, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, ?,366531, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,216481, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,188027, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n37, Private,66686, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,74775, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,30, Vietnam, <=50K\n65, ?,325537, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n30, Self-emp-not-inc,250499, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,55, United-States, >50K\n57, Self-emp-not-inc,192869, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K\n44, Self-emp-inc,121352, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n32, Self-emp-not-inc,70985, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,4064,0,40, United-States, <=50K\n27, Self-emp-not-inc,123116, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n57, Local-gov,339163, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K\n59, Self-emp-not-inc,124771, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n32, Private,167531, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,15024,0,50, United-States, >50K\n90, ?,77053, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,4356,40, United-States, <=50K\n22, Private,199266, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K\n39, Private,190728, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,99212, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,48, United-States, >50K\n38, Local-gov,421446, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, >50K\n61, Private,215944, 9th,5, Divorced, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K\n24, Private,72310, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,43, United-States, <=50K\n25, Private,57512, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n44, Private,89413, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Local-gov,28151, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K\n90, Private,46786, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,9386,0,15, United-States, >50K\n30, Private,226943, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n44, Private,182402, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,305352, 10th,6, Divorced, Craft-repair, Other-relative, Black, Male,0,0,40, United-States, <=50K\n63, Self-emp-inc,189253, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n60, Private,296485, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,204375, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, >50K\n49, Self-emp-not-inc,249585, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K\n47, Private,148995, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n42, Self-emp-inc,168071, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, >50K\n53, Private,194995, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Italy, <=50K\n23, Private,211049, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,4101,0,40, United-States, <=50K\n28, ?,196630, Assoc-voc,11, Separated, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K\n20, Private,50397, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,35, United-States, <=50K\n43, Private,177905, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3908,0,40, United-States, <=50K\n32, Private,204374, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K\n43, Private,60001, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,44, United-States, >50K\n31, Private,223046, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n29, ?,44921, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n24, Private,154571, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K\n39, Private,67136, Assoc-voc,11, Separated, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n29, Private,188675, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Jamaica, >50K\n20, Private,390817, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,25, Mexico, <=50K\n23, ?,145964, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,30424, 11th,7, Separated, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K\n53, Private,548361, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,189148, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, <=50K\n58, Self-emp-not-inc,266707, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2179,18, United-States, <=50K\n51, Self-emp-not-inc,311569, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,187653, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K\n38, Private,235379, Assoc-acdm,12, Never-married, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K\n41, Private,188615, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n58, Private,322691, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,184698, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Dominican-Republic, <=50K\n50, Private,144361, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,130057, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n31, Self-emp-inc,117963, Doctorate,16, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,123876, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n37, Private,248445, HS-grad,9, Divorced, Handlers-cleaners, Other-relative, White, Male,0,0,40, El-Salvador, <=50K\n32, Private,207172, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n46, State-gov,119904, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,55, United-States, >50K\n62, Private,134768, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n40, Local-gov,269168, HS-grad,9, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, ?, <=50K\n56, Private,132026, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,7688,0,45, United-States, >50K\n37, Private,60722, Some-college,10, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Japan, >50K\n41, Private,648223, 1st-4th,2, Married-spouse-absent, Farming-fishing, Unmarried, White, Male,0,0,40, Mexico, <=50K\n56, Private,298695, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n20, Private,219835, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n34, Self-emp-not-inc,313729, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n45, Private,140644, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n30, Private,203488, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n51, Self-emp-not-inc,132341, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,161683, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K\n38, Private,312771, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,258102, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n57, ?,24127, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n47, Private,254367, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n77, ?,185426, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K\n43, Private,152629, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n46, Local-gov,141058, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K\n41, Private,233130, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,406641, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n30, State-gov,119422, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,255486, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,25, United-States, <=50K\n22, Private,161532, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n25, Private,75759, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, >50K\n18, Private,163332, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,22, United-States, <=50K\n28, Private,103802, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,1408,40, ?, <=50K\n50, Private,34832, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,40, United-States, >50K\n28, Private,37933, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,48, United-States, <=50K\n21, Private,165107, Some-college,10, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Private,126011, Assoc-voc,11, Divorced, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Federal-gov,56651, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n23, Private,522881, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, Mexico, <=50K\n32, Private,191777, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,35, England, <=50K\n27, Private,132686, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,50, United-States, <=50K\n55, Private,201112, HS-grad,9, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n44, Private,174283, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,208591, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,126399, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,32, United-States, <=50K\n50, Private,142073, HS-grad,9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n18, Private,395567, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n74, Private,180455, Bachelors,13, Widowed, Other-service, Not-in-family, White, Female,0,0,8, United-States, <=50K\n22, Private,235853, 9th,5, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,160731, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n27, State-gov,31935, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,80, United-States, <=50K\n41, Private,35166, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n24, Private,161092, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n23, Private,223019, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,179673, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,60, United-States, >50K\n46, State-gov,248895, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,200323, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n41, Private,230020, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K\n29, Private,134890, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,162096, 9th,5, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female,0,0,45, China, <=50K\n51, Private,103824, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, Haiti, <=50K\n34, State-gov,61431, 12th,8, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n58, Private,197319, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n52, Private,183618, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,268598, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Other, Male,7298,0,50, Puerto-Rico, >50K\n53, Private,263729, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,39493, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n36, Private,185360, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,132661, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,60, United-States, <=50K\n20, Private,266400, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,48, United-States, <=50K\n23, Private,433669, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-inc,216473, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n20, Self-emp-not-inc,217404, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,227778, Assoc-voc,11, Never-married, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K\n73, State-gov,96262, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n67, Private,247566, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,24, United-States, <=50K\n56, Private,139616, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n32, Private,73585, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,37869, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,1590,40, United-States, <=50K\n33, Private,165814, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n37, Private,108913, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,34975, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n31, Private,157078, 10th,6, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n59, Private,232672, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,294295, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,130454, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n24, Local-gov,461678, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, State-gov,252284, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,256737, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n33, Local-gov,96480, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Germany, <=50K\n25, Private,234263, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,109952, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,262570, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,65716, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n68, Private,201732, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,174788, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n38, Private,278924, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,101593, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n71, ?,193863, 7th-8th,4, Widowed, ?, Other-relative, White, Female,0,0,16, Poland, <=50K\n37, Private,342768, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,242606, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,4386,0,45, United-States, >50K\n27, State-gov,176727, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,99179, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, State-gov,354104, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K\n25, Private,61956, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n47, Federal-gov,137917, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n40, Private,224658, Some-college,10, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n38, Private,51100, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n25, Private,224361, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,362912, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,50, United-States, <=50K\n23, Private,218782, 10th,6, Never-married, Handlers-cleaners, Other-relative, Other, Male,0,0,40, United-States, <=50K\n28, Private,103389, Masters,14, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,308944, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,140092, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,202210, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n52, Private,416059, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n33, Self-emp-not-inc,281030, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,94, United-States, <=50K\n19, Private,169758, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n68, Private,193666, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,55, United-States, >50K\n41, Private,139907, 10th,6, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,50, United-States, <=50K\n18, Self-emp-inc,119422, HS-grad,9, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,30, India, <=50K\n29, Private,149324, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, >50K\n40, Private,259307, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n51, Self-emp-not-inc,74160, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,0,0,60, United-States, >50K\n49, Private,134797, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, State-gov,41103, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n38, Local-gov,193026, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n57, Private,303986, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Cuba, <=50K\n35, Private,126569, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K\n66, Private,166461, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,26, United-States, <=50K\n27, ?,61387, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K\n25, Private,254746, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n77, ?,28678, Masters,14, Married-civ-spouse, ?, Husband, White, Male,9386,0,6, United-States, >50K\n19, ?,180976, 10th,6, Never-married, ?, Unmarried, White, Female,0,0,35, United-States, <=50K\n70, Private,282642, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2174,40, United-States, >50K\n59, Self-emp-not-inc,136413, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, <=50K\n25, Private,131463, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n44, Local-gov,177240, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K\n37, Private,218490, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, El-Salvador, >50K\n75, ?,260543, 10th,6, Widowed, ?, Other-relative, Asian-Pac-Islander, Female,0,0,1, China, <=50K\n21, ?,80680, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,20728, HS-grad,9, Never-married, Sales, Own-child, White, Female,4101,0,40, United-States, <=50K\n47, Federal-gov,117628, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,91939, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,1721,30, United-States, <=50K\n32, State-gov,175931, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,309566, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n53, Private,123703, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, ?,369678, HS-grad,9, Never-married, ?, Not-in-family, Other, Male,0,0,30, United-States, <=50K\n58, Private,29928, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,36, United-States, <=50K\n22, Private,167868, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n23, Private,235894, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n21, Private,189888, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,3325,0,60, United-States, <=50K\n36, Private,111545, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n39, Private,175972, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, <=50K\n34, Local-gov,254270, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Local-gov,185057, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n72, Private,157593, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,1455,0,6, United-States, <=50K\n34, Private,101345, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K\n51, Local-gov,176751, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n32, Self-emp-not-inc,97723, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,127601, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n37, Private,227597, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, ?,143995, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,20, United-States, <=50K\n21, Private,250051, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K\n26, Private,284078, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,207668, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1887,40, United-States, >50K\n18, Private,163787, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n27, Private,119170, 11th,7, Never-married, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n20, Private,188612, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, Nicaragua, <=50K\n36, Private,114605, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n31, ?,317761, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,164197, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n54, Private,329266, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K\n34, Local-gov,207383, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,123598, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K\n33, Private,259931, 11th,7, Separated, Machine-op-inspct, Other-relative, White, Male,0,0,30, United-States, <=50K\n32, Private,134737, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n42, Private,106900, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,87054, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n37, Private,82622, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,181659, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,321205, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,4101,0,35, United-States, <=50K\n44, Self-emp-not-inc,231348, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,276096, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,290560, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n21, Private,307315, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n39, State-gov,99156, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,237928, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,39, United-States, <=50K\n46, Private,153501, HS-grad,9, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n47, ?,149700, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,36, United-States, >50K\n47, Private,189680, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K\n35, Private,374524, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,75, United-States, >50K\n60, Self-emp-not-inc,127805, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,150217, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,24, Poland, <=50K\n33, Private,295649, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, China, <=50K\n21, Private,197182, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,241998, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n48, Federal-gov,156410, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,50, United-States, >50K\n58, Private,473836, 7th-8th,4, Widowed, Farming-fishing, Other-relative, White, Female,0,0,45, Guatemala, <=50K\n21, Private,198431, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,113936, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,318915, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,175406, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K\n33, ?,193172, Assoc-voc,11, Married-civ-spouse, ?, Own-child, White, Female,7688,0,50, United-States, >50K\n23, Federal-gov,320294, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, State-gov,400285, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n24, ?,283731, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,227154, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n49, Private,298659, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, Mexico, <=50K\n47, Private,212120, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n50, Private,320510, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K\n21, Private,175800, HS-grad,9, Never-married, Prof-specialty, Unmarried, White, Female,0,0,55, United-States, <=50K\n55, Private,170169, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,344157, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,199441, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,225456, HS-grad,9, Never-married, Tech-support, Other-relative, White, Male,0,0,50, United-States, <=50K\n36, Private,61178, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Local-gov,175262, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,2002,40, England, <=50K\n42, Private,152568, HS-grad,9, Widowed, Sales, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n41, Private,182108, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,27828,0,35, United-States, >50K\n46, Private,273771, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,40, United-States, >50K\n32, Private,208291, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,224358, 10th,6, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,55176, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n60, State-gov,152711, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,68684, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,185452, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K\n39, Federal-gov,175232, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1977,60, United-States, >50K\n23, Private,173851, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,162327, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,50, ?, >50K\n36, Local-gov,51424, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,123416, 12th,8, Separated, Prof-specialty, Own-child, White, Female,1055,0,40, United-States, <=50K\n26, Private,262656, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,233194, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K\n41, Private,290660, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,55, United-States, >50K\n22, Private,151105, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,18, United-States, <=50K\n38, Private,179117, Assoc-acdm,12, Never-married, Machine-op-inspct, Not-in-family, Black, Female,10520,0,50, United-States, >50K\n72, ?,33608, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,9386,0,30, United-States, >50K\n39, Private,317434, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, State-gov,126569, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n38, Local-gov,745768, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,45, United-States, <=50K\n19, Private,69927, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,16, United-States, <=50K\n26, Private,302603, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,45, United-States, <=50K\n52, Private,46788, Bachelors,13, Divorced, Craft-repair, Unmarried, White, Male,0,0,25, United-States, <=50K\n41, Private,289886, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Other, Male,0,1579,40, Nicaragua, <=50K\n45, Private,179135, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Federal-gov,175873, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,57426, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n36, Private,312206, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n19, Without-pay,344858, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n26, State-gov,177035, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, Private,88055, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,111095, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,192251, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K\n27, Private,29807, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, Japan, <=50K\n26, Federal-gov,211596, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Private,268276, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n59, Self-emp-not-inc,181070, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, England, >50K\n53, Local-gov,20676, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K\n35, Private,115803, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,124827, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,95336, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n36, Private,257942, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,72593, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,147340, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,185325, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n59, Self-emp-not-inc,357943, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,215395, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,1602,10, United-States, <=50K\n50, Local-gov,30682, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n24, Federal-gov,29591, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,40, United-States, <=50K\n36, Private,215392, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,110554, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,4386,0,40, United-States, >50K\n42, Self-emp-not-inc,133584, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K\n38, Private,210438, 7th-8th,4, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Private,256916, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,73541, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,109952, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n54, Private,197975, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,51, United-States, <=50K\n27, Private,401723, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n42, Private,179524, Bachelors,13, Separated, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n33, State-gov,296282, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,145844, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n59, Private,191965, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,3908,0,28, United-States, <=50K\n54, Private,96792, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n48, Private,185041, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1672,55, United-States, <=50K\n19, ?,233779, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K\n45, Private,347834, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,215373, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, <=50K\n35, Self-emp-not-inc,169426, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,202856, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,36, United-States, <=50K\n33, Private,50276, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,187454, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,126098, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n19, Private,250639, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K\n64, Self-emp-inc,195366, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,186845, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,8, United-States, <=50K\n20, Federal-gov,119156, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,20, United-States, <=50K\n28, Private,162343, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K\n52, Private,108435, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, Greece, >50K\n29, Self-emp-not-inc,394927, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n51, Private,172281, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,370767, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2377,60, United-States, <=50K\n43, Private,352005, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K\n52, Private,165681, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,258819, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n25, Private,130793, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n36, Private,118909, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, Jamaica, <=50K\n44, Private,202466, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, United-States, <=50K\n47, Private,161558, 10th,6, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male,0,0,45, United-States, <=50K\n32, Private,188246, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,160120, Masters,14, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n40, Private,144594, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,2829,0,40, United-States, <=50K\n34, Self-emp-not-inc,123429, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n35, Self-emp-inc,340110, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,523067, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,3, El-Salvador, <=50K\n49, Self-emp-not-inc,113513, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n63, ?,186809, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K\n46, Self-emp-not-inc,320421, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,25, United-States, <=50K\n31, Local-gov,295589, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n22, Private,370548, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n20, Private,120572, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K\n52, Private,110977, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n26, Private,55860, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n34, Private,158800, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,131568, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,173613, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n22, Private,216867, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n38, Private,104089, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,208106, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Ecuador, <=50K\n27, State-gov,340269, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,236246, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,213408, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, Cuba, <=50K\n40, ?,84232, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K\n19, Private,302945, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, Thailand, <=50K\n69, ?,28197, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, >50K\n20, Private,262749, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n34, Federal-gov,198265, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K\n49, Private,170871, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,177761, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0,0,50, United-States, <=50K\n59, Private,175689, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,14, Cuba, >50K\n45, Private,205100, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n21, Private,77759, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n51, State-gov,77905, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n64, ?,193575, 11th,7, Never-married, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n41, State-gov,116520, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n18, ?,85154, 12th,8, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,24, Germany, <=50K\n49, Private,180532, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,508891, HS-grad,9, Divorced, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K\n20, Private,211345, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,20, United-States, <=50K\n69, Self-emp-not-inc,170877, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n18, ?,97318, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n43, Private,184105, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n50, Private,150941, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,44, United-States, <=50K\n32, Private,303942, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Local-gov,273929, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,197077, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,162825, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,159869, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,44, United-States, <=50K\n19, Private,158343, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, ?, <=50K\n17, ?,406920, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,227986, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,137527, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n36, Private,180150, 12th,8, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,239539, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n58, Private,281792, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,224799, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n64, Private,292639, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,10566,0,35, United-States, <=50K\n66, Private,22313, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n42, Private,194636, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,156089, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n53, Private,193720, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n25, Private,218667, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,358837, Some-college,10, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n20, Private,174685, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,168854, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,54, United-States, <=50K\n28, Private,133696, Bachelors,13, Never-married, Sales, Unmarried, White, Male,0,0,65, United-States, <=50K\n23, Federal-gov,350680, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, Poland, <=50K\n18, Private,115215, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n43, Self-emp-not-inc,152958, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n29, Private,217200, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,235124, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,46, Dominican-Republic, <=50K\n31, Local-gov,144949, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n60, Private,135470, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n42, Private,281209, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,155489, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n38, Private,290306, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,182042, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,19, United-States, <=50K\n31, Private,210008, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n54, Private,234938, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4064,0,55, United-States, <=50K\n46, Private,315423, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,2042,50, United-States, <=50K\n27, Self-emp-not-inc,30244, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,80, United-States, <=50K\n50, Local-gov,30008, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n38, Self-emp-not-inc,201328, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, United-States, <=50K\n36, State-gov,96468, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,486332, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n19, Private,46162, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,25, United-States, <=50K\n60, Local-gov,98350, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,60, Philippines, <=50K\n45, Local-gov,175958, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,119309, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,1602,16, United-States, <=50K\n42, Private,175935, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,1980,46, United-States, <=50K\n38, Private,204527, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n22, ?,57827, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,418176, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,32, United-States, <=50K\n23, Private,262744, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,177287, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,30, United-States, <=50K\n30, Private,255004, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,52, United-States, <=50K\n62, Private,183735, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Self-emp-not-inc,318644, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n42, Federal-gov,132125, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, >50K\n33, Private,206051, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-inc,99185, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, >50K\n35, Private,225750, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n33, Private,245777, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,169092, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,55, United-States, <=50K\n62, Private,211035, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, >50K\n24, Private,285432, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,154779, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n54, Private,37237, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n58, Private,417419, 7th-8th,4, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-inc,33975, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,42485, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n27, Private,170017, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,152683, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3908,0,35, United-States, <=50K\n20, Private,41721, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,60, United-States, <=50K\n64, Private,66634, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-inc,257216, Masters,14, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,167882, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,43, United-States, <=50K\n45, Private,179428, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n26, Private,57512, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,301614, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,193820, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,1876,40, United-States, <=50K\n58, Private,222247, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,40, United-States, >50K\n39, Self-emp-inc,189092, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n47, Private,217509, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female,0,0,45, Thailand, <=50K\n35, Private,308691, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n38, Private,169672, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,120914, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,370156, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n28, Private,398220, 5th-6th,3, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K\n44, Self-emp-not-inc,208277, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,45, United-States, <=50K\n40, Private,337456, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Private,172666, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Self-emp-not-inc,32280, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,45, United-States, <=50K\n33, Private,194901, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n19, ?,57329, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, Japan, <=50K\n32, Private,173730, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n45, Local-gov,153312, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,10, United-States, >50K\n23, Private,274797, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n31, Private,359249, Assoc-voc,11, Never-married, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K\n22, Private,152744, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n59, Private,188041, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n32, Private,97723, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K\n49, State-gov,354529, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,249727, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n26, Private,189590, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n23, State-gov,298871, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n55, Self-emp-not-inc,205296, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K\n47, Private,303637, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,49, United-States, >50K\n44, Private,242861, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,37599, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K\n40, State-gov,199381, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,37, United-States, >50K\n32, Self-emp-not-inc,56328, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,8, United-States, >50K\n20, Private,256211, Some-college,10, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n84, Local-gov,163685, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,33, United-States, <=50K\n40, Private,266084, Some-college,10, Divorced, Craft-repair, Other-relative, White, Male,0,0,50, United-States, <=50K\n37, Private,161111, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,199031, Some-college,10, Divorced, Transport-moving, Own-child, White, Male,0,1380,40, United-States, <=50K\n47, Private,166634, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, Germany, <=50K\n62, Self-emp-not-inc,204085, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K\n19, ?,369527, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Private,464945, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n44, Local-gov,174684, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n26, Local-gov,166295, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,41, United-States, <=50K\n36, Private,220511, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,246936, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,104509, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n48, ?,266337, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,252168, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n25, Private,92093, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n62, Private,88055, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,129591, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,142719, HS-grad,9, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K\n18, ?,264924, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Private,128796, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K\n38, Private,115336, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,70, United-States, <=50K\n52, Private,190333, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n63, Self-emp-not-inc,179444, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,15, United-States, <=50K\n49, Private,218676, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K\n17, Local-gov,148194, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K\n33, Private,184833, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n70, Self-emp-not-inc,280639, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,2329,0,20, United-States, <=50K\n19, Private,217769, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n27, ?,180553, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K\n61, Private,56009, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,255334, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, >50K\n46, Self-emp-inc,328216, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,42, ?, >50K\n29, Private,349154, 10th,6, Separated, Farming-fishing, Unmarried, White, Female,0,0,40, Guatemala, <=50K\n40, Local-gov,24763, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,6849,0,40, United-States, <=50K\n43, State-gov,41834, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, >50K\n24, Private,113466, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,130856, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n61, Self-emp-not-inc,268797, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,17, United-States, <=50K\n48, Private,202117, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K\n19, Private,280146, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n30, Private,70377, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,236696, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n39, Local-gov,222572, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, <=50K\n46, Self-emp-inc,110702, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,2036,0,60, United-States, <=50K\n40, Private,96129, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,72, United-States, >50K\n27, Local-gov,200492, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,193820, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,454508, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,2001,40, United-States, <=50K\n58, Private,220789, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n33, Private,101345, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,42, Canada, >50K\n40, Private,140559, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n40, Self-emp-inc,64885, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n31, Private,402361, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,143582, HS-grad,9, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,48, China, <=50K\n49, Private,185385, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n24, Private,112706, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,130364, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n58, Local-gov,147428, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,205895, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n65, ?,273569, HS-grad,9, Widowed, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n43, Private,153160, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,167918, Masters,14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, India, <=50K\n41, Private,195661, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,54, United-States, <=50K\n27, State-gov,146243, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n52, ?,105428, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,12, United-States, <=50K\n26, Private,149943, HS-grad,9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,60, ?, <=50K\n52, Local-gov,246197, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Local-gov,192563, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n19, Private,244115, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,30, United-States, <=50K\n39, Local-gov,98587, Some-college,10, Divorced, Prof-specialty, Own-child, White, Female,0,0,45, United-States, <=50K\n47, Private,145886, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,244315, HS-grad,9, Divorced, Craft-repair, Other-relative, Other, Male,0,0,40, United-States, <=50K\n48, Private,192779, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,209464, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n60, Private,25141, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n28, Private,405793, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n47, Federal-gov,53498, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n69, ?,476653, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n40, Self-emp-not-inc,162312, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,66, South, <=50K\n37, Private,277022, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Female,3887,0,40, Nicaragua, <=50K\n41, State-gov,109762, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,123031, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,48, Trinadad&Tobago, <=50K\n46, Federal-gov,119890, Assoc-voc,11, Separated, Tech-support, Not-in-family, Other, Female,0,0,30, United-States, <=50K\n21, Self-emp-not-inc,409230, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n44, Private,223308, Masters,14, Separated, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K\n38, ?,129150, 10th,6, Separated, ?, Own-child, White, Male,0,0,35, United-States, <=50K\n47, Self-emp-not-inc,119199, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n42, Private,46221, Doctorate,16, Married-spouse-absent, Other-service, Not-in-family, White, Male,27828,0,60, ?, >50K\n42, Local-gov,351161, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Private,174533, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n32, Private,324386, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,126568, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,33, United-States, <=50K\n26, Private,275703, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,219611, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,2174,0,50, United-States, <=50K\n49, Private,200471, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K\n65, Private,155261, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n73, State-gov,74040, 7th-8th,4, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n34, Private,226296, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,211968, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n49, Local-gov,126446, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n25, Private,262885, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K\n39, Private,188069, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, United-States, <=50K\n19, Private,113546, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,56, United-States, <=50K\n24, Private,227070, 10th,6, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n34, Private,136997, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n35, ?,119006, HS-grad,9, Widowed, ?, Own-child, White, Female,0,0,38, United-States, <=50K\n21, Private,212407, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n43, Private,197810, Masters,14, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Federal-gov,35309, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,28, ?, <=50K\n39, Private,141802, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, ?,184513, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,80, United-States, >50K\n33, Self-emp-not-inc,124187, Assoc-acdm,12, Never-married, Other-service, Not-in-family, Black, Male,0,0,32, United-States, <=50K\n19, Private,201743, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,26, United-States, <=50K\n17, Private,156736, 10th,6, Never-married, Sales, Unmarried, White, Female,0,0,12, United-States, <=50K\n43, Self-emp-not-inc,47261, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n62, Private,150693, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K\n53, Local-gov,233734, Masters,14, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, >50K\n45, State-gov,35969, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n47, Private,159550, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n30, Private,190823, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n53, Private,213378, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,33, United-States, <=50K\n24, Private,257500, HS-grad,9, Separated, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n41, Local-gov,488706, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n58, Local-gov,239405, 5th-6th,3, Divorced, Other-service, Other-relative, Black, Female,0,0,40, Haiti, <=50K\n27, Federal-gov,105189, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,4865,0,50, United-States, <=50K\n63, State-gov,109735, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n50, Private,172942, Some-college,10, Divorced, Other-service, Own-child, White, Male,0,0,28, United-States, <=50K\n43, Local-gov,209899, Masters,14, Never-married, Tech-support, Not-in-family, Black, Female,8614,0,47, United-States, >50K\n29, Self-emp-inc,87745, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n41, Private,187881, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,3942,0,40, United-States, <=50K\n55, Private,234125, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,272944, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n23, Local-gov,129232, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,100345, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,13550,0,55, United-States, >50K\n58, Self-emp-not-inc,195835, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n25, Private,251854, 11th,7, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n40, Private,103474, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K\n38, Private,22042, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,39, United-States, <=50K\n37, Private,343721, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,232368, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n55, Private,174478, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,29, United-States, <=50K\n55, Private,282023, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n28, Private,274690, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n53, Private,251675, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K\n32, ?,647882, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, ?, <=50K\n60, Private,128367, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Male,3325,0,42, United-States, <=50K\n32, Private,37380, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n34, Private,173730, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n49, Private,353824, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n21, Private,225890, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K\n24, State-gov,147147, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n53, Private,233780, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, Black, Female,2202,0,40, United-States, <=50K\n29, Private,394927, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K\n34, Local-gov,188682, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, ?,115209, Prof-school,15, Married-spouse-absent, ?, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n41, Private,277192, 5th-6th,3, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,40, Mexico, <=50K\n21, Private,314182, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,220776, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n31, Local-gov,189269, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,35429, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2042,40, United-States, <=50K\n42, Private,154374, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,60, United-States, >50K\n62, Private,161460, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,30, United-States, <=50K\n51, Private,251487, 7th-8th,4, Widowed, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n30, Private,177531, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K\n24, Private,53942, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,113481, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,361324, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,330087, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n33, Private,276221, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,121055, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n62, Private,118696, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n64, Self-emp-not-inc,289741, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K\n18, Private,238401, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n43, Private,262038, 5th-6th,3, Married-spouse-absent, Farming-fishing, Unmarried, White, Male,0,0,35, Mexico, <=50K\n62, Self-emp-not-inc,26911, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,66, United-States, <=50K\n29, Private,161155, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n43, Private,252519, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, Haiti, >50K\n39, Private,43712, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n69, ?,167826, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,188900, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n44, Private,120057, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,45, United-States, >50K\n25, Private,134113, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n47, Local-gov,165822, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n17, Private,99161, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K\n41, Local-gov,74581, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,65, United-States, <=50K\n19, Private,304643, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n57, Private,121821, 1st-4th,2, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, Dominican-Republic, <=50K\n25, Private,154863, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Male,0,0,35, United-States, <=50K\n37, Local-gov,365430, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Canada, >50K\n29, Private,183111, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,50178, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n35, Private,186845, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n52, Private,159908, 12th,8, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,162189, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,1831,0,40, Peru, <=50K\n29, Private,128509, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female,0,0,38, El-Salvador, <=50K\n23, Private,143032, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,36, United-States, <=50K\n31, Private,382368, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,210013, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n19, Private,293928, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n21, Private,208503, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,10, United-States, <=50K\n37, State-gov,191841, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,8614,0,40, United-States, >50K\n49, Self-emp-not-inc,355978, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,35, United-States, >50K\n64, Local-gov,202738, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K\n37, Local-gov,144322, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K\n70, Self-emp-not-inc,155141, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2377,12, United-States, >50K\n22, Private,160120, 10th,6, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K\n29, Self-emp-inc,190450, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Germany, <=50K\n37, Private,212900, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,115677, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,252250, 11th,7, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,65, United-States, <=50K\n27, Private,212041, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n58, State-gov,198145, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, >50K\n60, Local-gov,113658, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K\n20, Private,32426, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K\n51, Private,98791, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,203828, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n22, State-gov,186634, 12th,8, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n56, Self-emp-not-inc,125147, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n26, Private,247455, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,5178,0,42, United-States, >50K\n19, Private,97215, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K\n37, Private,330826, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, <=50K\n27, Private,200802, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,156266, HS-grad,9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Male,0,0,20, United-States, <=50K\n52, Self-emp-not-inc,72257, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n45, Private,363087, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,25955, Some-college,10, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n20, Private,334633, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,109162, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n44, Private,569761, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n30, Private,209900, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, State-gov,272986, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Black, Female,0,0,8, United-States, <=50K\n55, ?,52267, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,18, United-States, <=50K\n46, Private,82946, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,104651, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n25, Local-gov,58441, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Local-gov,269733, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, ?,128453, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,28, United-States, <=50K\n36, Private,179468, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,183081, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,102938, Bachelors,13, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n30, ?,157289, 11th,7, Never-married, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, Private,359828, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K\n30, Private,155659, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K\n24, Private,585203, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,45, United-States, >50K\n62, Private,173601, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,214541, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,1590,40, United-States, <=50K\n49, Self-emp-not-inc,163352, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,85, United-States, >50K\n36, Self-emp-not-inc,153976, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n47, Local-gov,247676, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,5455,0,45, United-States, <=50K\n49, State-gov,155372, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, Private,329733, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Private,162576, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,176520, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,53, United-States, <=50K\n51, State-gov,226885, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,120781, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n30, Private,375827, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n46, Private,205504, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,20, United-States, <=50K\n28, Private,198813, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,40, United-States, <=50K\n48, Self-emp-inc,254291, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n62, Private,159908, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, >50K\n49, Private,40000, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,4064,0,44, United-States, <=50K\n69, Private,102874, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,24, United-States, <=50K\n35, Private,117381, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,8614,0,45, United-States, >50K\n78, Private,180239, Masters,14, Widowed, Craft-repair, Unmarried, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n61, Private,539563, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n24, Private,261561, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,81057, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,160120, Bachelors,13, Married-civ-spouse, Sales, Husband, Other, Male,0,0,45, ?, <=50K\n17, Private,41979, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,275110, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,80, United-States, >50K\n64, Private,265661, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,193246, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, France, <=50K\n32, Private,236543, 12th,8, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K\n19, Private,29510, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n42, State-gov,105804, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,194604, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n23, Private,1038553, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,45, United-States, <=50K\n51, Local-gov,209320, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n31, Private,193231, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,3325,0,60, United-States, <=50K\n44, Private,307468, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,29, United-States, >50K\n38, Private,255941, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,10520,0,50, United-States, >50K\n44, Local-gov,107845, Assoc-acdm,12, Divorced, Protective-serv, Not-in-family, White, Female,0,0,56, United-States, >50K\n44, Self-emp-not-inc,567788, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n38, Private,91857, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n36, Private,732569, 9th,5, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,86613, 1st-4th,2, Never-married, Other-service, Not-in-family, White, Male,0,0,20, El-Salvador, <=50K\n46, Private,35961, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,25, Germany, <=50K\n47, Private,114754, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,235124, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,99999,0,40, United-States, >50K\n37, Local-gov,218490, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,35, United-States, >50K\n27, Private,329426, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n43, Private,181015, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,50, United-States, <=50K\n44, Self-emp-not-inc,264740, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,381153, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, <=50K\n34, Private,189759, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K\n39, Private,230467, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,1092,40, Germany, <=50K\n36, Private,218542, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n57, Private,298507, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K\n78, Private,111189, 7th-8th,4, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,35, Dominican-Republic, <=50K\n24, Private,168997, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,168894, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,149809, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,344073, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K\n22, Private,416165, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,32, United-States, <=50K\n36, Private,41490, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n61, Private,40269, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n67, ?,243256, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K\n42, Private,250536, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,21, Haiti, <=50K\n49, Federal-gov,105586, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n58, Private,51499, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,189878, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K\n39, Private,179481, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,4650,0,44, United-States, <=50K\n25, Private,299765, Some-college,10, Separated, Adm-clerical, Other-relative, Black, Female,0,0,40, Jamaica, <=50K\n45, Self-emp-inc,155664, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, >50K\n30, Private,54608, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n49, ?,174702, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K\n36, Self-emp-not-inc,285020, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2885,0,40, United-States, <=50K\n23, Private,201145, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K\n51, Private,125796, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,35, Jamaica, <=50K\n55, Private,249072, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n35, Private,99156, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n45, State-gov,94754, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, India, <=50K\n36, Private,111128, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K\n32, Local-gov,157887, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,74194, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n47, Self-emp-inc,168191, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,28334, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n52, Private,84278, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, ?, >50K\n44, Private,721161, Some-college,10, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n36, Private,188069, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n40, Private,145178, Some-college,10, Divorced, Craft-repair, Unmarried, Black, Female,0,0,30, United-States, <=50K\n17, Private,52967, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,6, United-States, <=50K\n18, Private,177578, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,38, United-States, <=50K\n30, Self-emp-inc,185384, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, <=50K\n66, Private,66008, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,50, England, <=50K\n59, Private,329059, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Local-gov,348802, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n50, Private,34233, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,509629, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n28, Private,27956, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,99, Philippines, <=50K\n44, Local-gov,83286, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n25, Private,309098, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,188950, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n20, Private,224217, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n67, Private,222899, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,123306, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n52, Federal-gov,279337, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,347166, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n37, Local-gov,251396, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Canada, >50K\n17, Self-emp-inc,143034, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,4, United-States, <=50K\n25, Private,57635, Assoc-voc,11, Married-civ-spouse, Sales, Wife, White, Female,0,0,42, United-States, >50K\n35, Local-gov,162651, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K\n63, Private,28334, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n38, Local-gov,84570, Some-college,10, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n33, Private,181091, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, Iran, >50K\n51, Local-gov,117496, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n64, State-gov,216160, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, Columbia, >50K\n50, Self-emp-inc,204447, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,374969, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,0,0,56, United-States, <=50K\n67, Private,35015, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,99, United-States, <=50K\n46, Private,179869, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,137733, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,193125, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,103649, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n56, State-gov,54260, Doctorate,16, Married-civ-spouse, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,2885,0,40, China, <=50K\n29, Private,197932, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, Mexico, >50K\n37, Private,249720, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,27, United-States, <=50K\n55, Private,223613, 1st-4th,2, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,30, Cuba, <=50K\n24, Private,259865, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n21, Private,301694, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, Mexico, <=50K\n46, Self-emp-inc,276934, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n25, Private,395512, 12th,8, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Male,0,0,40, Mexico, <=50K\n40, Private,168071, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,28, United-States, <=50K\n23, Private,45317, Some-college,10, Separated, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,311177, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n29, Self-emp-not-inc,190636, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,1485,60, United-States, >50K\n59, Private,221336, 10th,6, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n18, Private,120691, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,35, ?, <=50K\n28, Private,107389, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,32, United-States, <=50K\n17, Private,293440, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n53, Private,145409, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,213902, 5th-6th,3, Never-married, Priv-house-serv, Other-relative, White, Female,0,0,40, El-Salvador, <=50K\n63, Private,100099, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,191856, Masters,14, Married-civ-spouse, Sales, Wife, White, Female,0,0,45, United-States, >50K\n40, Local-gov,233891, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n61, Self-emp-not-inc,96073, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, England, >50K\n35, Private,474136, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1408,40, United-States, <=50K\n43, Self-emp-not-inc,355856, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, Philippines, <=50K\n20, ?,144685, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,1602,40, Taiwan, <=50K\n48, Self-emp-not-inc,139212, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, State-gov,143931, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Federal-gov,160703, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,191291, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,68729, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,1902,40, United-States, >50K\n61, Private,119986, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n37, Private,227545, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, >50K\n36, Private,32776, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n34, Private,228881, Some-college,10, Separated, Machine-op-inspct, Not-in-family, Other, Male,0,0,40, United-States, <=50K\n23, Private,84648, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n63, Federal-gov,101996, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n63, ?,68954, HS-grad,9, Widowed, ?, Not-in-family, Black, Female,0,0,11, United-States, <=50K\n47, Local-gov,285060, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,41, United-States, >50K\n55, Self-emp-inc,209569, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, >50K\n31, Local-gov,331126, Bachelors,13, Never-married, Protective-serv, Own-child, Black, Male,0,0,48, United-States, <=50K\n27, Private,279872, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Private,150560, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,14084,0,40, United-States, >50K\n28, Local-gov,185647, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, <=50K\n52, Private,128871, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,64, United-States, <=50K\n31, Federal-gov,386331, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,50, United-States, <=50K\n53, Private,117814, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n43, Private,220609, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K\n43, Local-gov,117022, HS-grad,9, Married-spouse-absent, Farming-fishing, Unmarried, Black, Male,0,0,40, United-States, <=50K\n50, Self-emp-inc,176751, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,80, United-States, >50K\n68, ?,76371, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K\n37, Private,80410, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,127202, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,121471, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,219086, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n59, Private,271571, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,50, United-States, >50K\n30, Private,241583, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,374253, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,55, United-States, <=50K\n30, Private,214993, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,199995, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K\n38, Private,450924, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,3942,0,40, United-States, <=50K\n29, Private,120359, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n76, Private,93125, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,1424,0,24, United-States, <=50K\n21, Private,187513, Assoc-voc,11, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n65, Private,243569, Some-college,10, Widowed, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K\n43, Private,295510, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n29, Private,29732, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,24, United-States, <=50K\n32, Private,211743, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n37, Private,251396, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n64, Private,477697, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,16, United-States, <=50K\n49, Private,151584, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,193882, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n68, ?,117542, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,1409,0,15, United-States, <=50K\n34, Private,242460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n35, Private,411395, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,36, United-States, <=50K\n53, Private,191025, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K\n24, Private,154571, Assoc-voc,11, Never-married, Sales, Unmarried, Asian-Pac-Islander, Male,0,0,50, South, <=50K\n31, Private,208657, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,29599, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, <=50K\n36, Private,423711, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n29, Private,122000, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n37, Private,148581, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n42, Self-emp-not-inc,222978, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n30, Private,149118, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Self-emp-inc,218407, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,70, Cuba, <=50K\n47, Self-emp-not-inc,112200, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,10520,0,45, United-States, >50K\n44, Private,85604, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n19, Private,111232, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,99199, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n51, Private,199995, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n69, Private,122850, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,16, United-States, <=50K\n73, ?,90557, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n18, ?,271935, 11th,7, Never-married, ?, Other-relative, White, Female,0,0,20, United-States, <=50K\n33, Self-emp-not-inc,361497, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Local-gov,399020, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K\n33, Private,345277, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,45, United-States, >50K\n20, Federal-gov,55233, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,200515, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,188119, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,176683, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K\n22, Private,309178, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n67, Self-emp-not-inc,40021, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n31, Self-emp-inc,49923, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n36, ?,36635, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,25, United-States, <=50K\n43, Federal-gov,325706, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, India, >50K\n33, Private,124407, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,301568, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K\n27, Private,339956, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,60, United-States, <=50K\n36, Private,176335, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,198452, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K\n63, Private,213945, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, Iran, >50K\n48, Private,171807, Bachelors,13, Divorced, Other-service, Unmarried, White, Female,0,0,56, United-States, >50K\n25, Private,362826, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,45, United-States, <=50K\n41, Self-emp-not-inc,344329, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,10, United-States, <=50K\n26, Private,137678, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,175424, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n33, State-gov,73296, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,1831,0,40, United-States, <=50K\n30, State-gov,137613, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,17, Taiwan, <=50K\n67, Self-emp-not-inc,354405, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n32, Private,130057, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n48, Self-emp-not-inc,362883, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, >50K\n51, Private,49017, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n39, Private,149943, Masters,14, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n40, Self-emp-inc,99185, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n40, Private,294708, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K\n19, Private,228238, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K\n28, Private,156819, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,36, United-States, <=50K\n47, Private,332727, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n20, Private,289944, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n41, Private,116103, HS-grad,9, Widowed, Exec-managerial, Other-relative, White, Male,914,0,40, United-States, <=50K\n29, Private,24153, Some-college,10, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n40, Private,273425, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n61, Private,231183, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,313930, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n26, Private,114483, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,162108, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,168807, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n43, Local-gov,143828, Masters,14, Divorced, Prof-specialty, Unmarried, Black, Female,9562,0,40, United-States, >50K\n73, Private,242769, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3471,0,40, England, <=50K\n46, Local-gov,111558, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,69770, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n37, Private,291981, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,102460, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,151584, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,1876,40, United-States, <=50K\n47, Local-gov,287320, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,115677, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,239632, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,409172, Bachelors,13, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0,0,55, United-States, <=50K\n20, Private,186849, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K\n28, Private,118861, 10th,6, Married-civ-spouse, Craft-repair, Wife, Other, Female,0,0,48, Guatemala, <=50K\n26, Private,142689, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, ?, <=50K\n41, State-gov,170924, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n67, ?,274451, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,153489, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,186489, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,46, United-States, <=50K\n18, Private,192409, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n55, State-gov,337599, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,195545, HS-grad,9, Divorced, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n64, Private,61892, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,15, United-States, <=50K\n34, Self-emp-not-inc,175697, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,75, United-States, <=50K\n38, Private,80303, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n25, Private,419658, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,8, United-States, <=50K\n21, Private,319163, Some-college,10, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n37, Private,126743, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,53, Mexico, <=50K\n39, Private,301568, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,120461, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n23, Private,268145, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n54, Private,257337, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n49, Self-emp-inc,213354, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, >50K\n25, Private,303431, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n51, Private,124963, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,158218, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,35, United-States, <=50K\n27, State-gov,553473, Bachelors,13, Married-civ-spouse, Protective-serv, Wife, Black, Female,0,0,48, United-States, <=50K\n53, Private,46155, HS-grad,9, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female,0,0,40, United-States, <=50K\n68, Private,138714, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n56, Private,231781, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,496414, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K\n24, Private,19410, HS-grad,9, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female,0,0,48, United-States, <=50K\n70, ?,28471, 9th,5, Widowed, ?, Unmarried, White, Female,0,0,25, United-States, <=50K\n24, Private,185821, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n74, ?,272667, Assoc-acdm,12, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n23, ?,194031, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n41, Local-gov,144995, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n45, Private,162494, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,19, United-States, <=50K\n35, Private,171968, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,232569, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,161819, 11th,7, Separated, Adm-clerical, Unmarried, Black, Female,0,0,25, United-States, <=50K\n18, Private,123343, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n49, Private,105449, Bachelors,13, Never-married, Priv-house-serv, Not-in-family, White, Male,0,0,25, United-States, <=50K\n49, Private,181717, Assoc-voc,11, Separated, Prof-specialty, Own-child, White, Female,0,0,36, United-States, <=50K\n45, Local-gov,102359, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, <=50K\n27, Private,72887, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n28, Private,154571, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n35, Private,255191, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n33, Private,174789, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,110402, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n19, Private,208513, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n33, Private,121904, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K\n28, Private,34335, HS-grad,9, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Male,14084,0,40, United-States, >50K\n49, Private,59380, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, ?,135285, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,2603,32, United-States, <=50K\n39, Self-emp-inc,126675, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K\n22, Private,217363, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,91836, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,184813, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,178142, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Local-gov,102359, 9th,5, Widowed, Handlers-cleaners, Unmarried, White, Male,0,2231,40, United-States, >50K\n33, Self-emp-inc,281832, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Cuba, >50K\n28, Private,96226, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n42, Private,195124, 7th-8th,4, Married-spouse-absent, Prof-specialty, Other-relative, White, Male,0,0,35, Puerto-Rico, <=50K\n20, Private,56322, Some-college,10, Never-married, Other-service, Own-child, White, Male,2176,0,25, United-States, <=50K\n50, Local-gov,97449, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, <=50K\n32, Private,339773, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n31, Federal-gov,210926, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,199499, Assoc-voc,11, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n46, Federal-gov,190729, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-inc,191385, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,77, United-States, <=50K\n61, Private,193479, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,24, United-States, <=50K\n43, Self-emp-not-inc,225165, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n35, Private,346766, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, State-gov,152307, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,79990, 11th,7, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K\n42, Self-emp-not-inc,170649, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n23, Private,197207, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,229732, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n52, Private,204402, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,85, United-States, >50K\n36, Private,181065, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,179579, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, >50K\n50, Private,237729, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,2444,72, United-States, >50K\n23, ?,164574, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n71, Private,179574, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,12, United-States, >50K\n27, Private,191782, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,30, United-States, <=50K\n56, Private,146660, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n28, Self-emp-not-inc,115945, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n45, Private,210875, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,137898, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n28, Local-gov,216965, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,201554, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,15, United-States, <=50K\n62, Private,57970, 7th-8th,4, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,208378, 12th,8, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,61343, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K\n24, Private,283872, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,20, United-States, <=50K\n58, Private,225603, 9th,5, Divorced, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n48, Private,401333, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,278228, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,145377, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,120238, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,187215, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,36, United-States, >50K\n29, Self-emp-not-inc,144063, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K\n38, Private,238721, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n21, Private,164920, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,152493, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n50, Private,92968, Bachelors,13, Never-married, Sales, Unmarried, White, Female,0,0,32, United-States, <=50K\n50, Private,136836, HS-grad,9, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Federal-gov,216453, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,45, United-States, <=50K\n30, Private,349148, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, <=50K\n29, State-gov,309620, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,20, Taiwan, <=50K\n22, State-gov,347803, Some-college,10, Never-married, Adm-clerical, Not-in-family, Other, Male,0,0,20, United-States, <=50K\n42, Private,85995, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n19, ?,167428, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,164569, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,48, United-States, <=50K\n42, Self-emp-not-inc,308279, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,21, United-States, <=50K\n20, Private,56322, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n51, ?,203015, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,211654, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n27, Self-emp-inc,120126, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,239043, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, ?,179761, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,312017, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, Germany, <=50K\n51, Private,257485, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,49243, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,229716, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K\n31, Private,341672, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,60, India, <=50K\n24, Private,32311, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n56, Private,275236, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,400356, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,184596, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,3942,0,50, United-States, <=50K\n18, Private,186909, HS-grad,9, Never-married, Sales, Other-relative, White, Female,1055,0,30, United-States, <=50K\n43, Private,152420, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,50, United-States, <=50K\n43, State-gov,261929, Doctorate,16, Married-spouse-absent, Prof-specialty, Unmarried, White, Male,25236,0,64, United-States, >50K\n21, Private,235442, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,161691, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n20, ?,173945, 11th,7, Married-civ-spouse, ?, Other-relative, White, Female,0,0,39, United-States, <=50K\n41, Private,355918, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K\n45, State-gov,198660, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,122649, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n28, Private,421967, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, United-States, >50K\n50, Local-gov,259377, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,40, United-States, >50K\n47, Private,74305, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n80, Self-emp-not-inc,34340, 7th-8th,4, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,35, United-States, <=50K\n47, Self-emp-not-inc,182752, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, Iran, <=50K\n19, ?,48393, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,84, United-States, <=50K\n45, Private,34248, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,186677, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n37, Private,167851, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,146460, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,209650, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n18, Self-emp-not-inc,132986, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n57, Private,94429, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,252406, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,174592, Masters,14, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,151322, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n51, Private,37237, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, >50K\n38, Private,101192, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n77, ?,152900, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n51, Private,94081, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n24, Private,329408, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,106028, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K\n35, ?,164866, 10th,6, Divorced, ?, Not-in-family, White, Male,0,0,99, United-States, <=50K\n51, Self-emp-inc,167793, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n28, Private,138692, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,173968, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,228320, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,96585, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n42, Private,156580, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, Puerto-Rico, <=50K\n58, Private,210673, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n52, Local-gov,137753, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,20, United-States, <=50K\n29, Private,29865, HS-grad,9, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0,0,50, United-States, <=50K\n27, Private,196044, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n28, Private,308995, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, Jamaica, <=50K\n59, Private,159008, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,20, United-States, >50K\n28, Private,362491, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,94395, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,320047, 10th,6, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,98535, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n65, Private,183170, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K\n18, ?,331511, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n38, Private,195686, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,178244, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,127833, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n36, Private,269722, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n55, State-gov,136819, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,205604, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,30, Mexico, <=50K\n28, Private,132078, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,234880, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n24, Private,196816, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3908,0,40, United-States, <=50K\n36, Private,237943, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n68, Self-emp-inc,140852, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,105614, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n18, Private,83492, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,225772, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, >50K\n37, Private,242713, 12th,8, Separated, Priv-house-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K\n60, Private,355865, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n43, Private,173316, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-inc,35662, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,70, United-States, >50K\n17, Private,297246, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,9, United-States, <=50K\n43, Private,108945, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n39, Private,112158, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,26, ?, <=50K\n21, Self-emp-not-inc,57298, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n42, Self-emp-not-inc,115323, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,7, ?, <=50K\n48, Self-emp-not-inc,164582, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298,0,60, United-States, >50K\n56, Private,295067, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,14084,0,45, United-States, >50K\n21, Private,177265, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n28, Local-gov,336543, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, Hong, >50K\n39, Self-emp-not-inc,52870, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,316820, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K\n38, Local-gov,200153, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Private,453067, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K\n51, Federal-gov,27166, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,299598, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K\n23, Private,122048, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,345277, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,113147, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K\n43, Private,34007, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,255014, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n34, Private,152667, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, United-States, <=50K\n21, Private,231053, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K\n34, Private,103651, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-inc,124137, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,198183, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,183627, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,48, Ireland, <=50K\n19, Private,466458, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n45, Self-emp-not-inc,114396, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n42, Private,186376, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,72, Philippines, >50K\n32, Private,290964, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,1590,40, United-States, <=50K\n90, Self-emp-not-inc,282095, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n44, State-gov,244974, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,44, United-States, >50K\n34, Self-emp-not-inc,114691, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,107160, 12th,8, Separated, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n39, Self-emp-not-inc,142573, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,25, United-States, <=50K\n29, Private,203833, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n24, Private,47791, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n49, Private,133729, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,17, United-States, <=50K\n52, Self-emp-not-inc,135339, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K\n54, Private,135803, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,15024,0,60, South, >50K\n31, Private,128591, 9th,5, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,133853, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n18, ?,137363, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n27, Self-emp-not-inc,243569, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,119156, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,391114, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K\n27, Private,252506, Some-college,10, Divorced, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n34, State-gov,117503, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,20, Italy, <=50K\n25, State-gov,117833, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,19, United-States, <=50K\n39, Private,294183, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,394927, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n51, Self-emp-not-inc,259323, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n21, ?,207988, HS-grad,9, Married-civ-spouse, ?, Other-relative, White, Female,0,0,35, United-States, <=50K\n33, Private,96635, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,26, South, <=50K\n27, Private,192283, Assoc-voc,11, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,38, United-States, <=50K\n29, Private,214881, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, State-gov,167474, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,110713, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n20, Private,201204, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,197666, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,162002, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n31, Private,263561, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2246,45, United-States, >50K\n41, Private,224799, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,89942, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,238685, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n54, Private,38795, 9th,5, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n55, Private,90414, Bachelors,13, Married-spouse-absent, Craft-repair, Unmarried, White, Female,0,0,55, Ireland, <=50K\n21, Private,190805, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,32, United-States, <=50K\n52, Private,23780, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K\n19, Private,285263, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,177331, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n22, Private,347530, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K\n59, Private,230039, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,625,38, United-States, <=50K\n17, ?,210547, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,204752, 12th,8, Never-married, Sales, Own-child, White, Male,0,0,32, United-States, <=50K\n74, Self-emp-not-inc,104001, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,253116, 10th,6, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Private,169037, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Self-emp-inc,202027, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n45, Private,170099, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,212847, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,85, United-States, <=50K\n50, State-gov,307392, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,233428, HS-grad,9, Divorced, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K\n44, Private,355728, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Male,0,1980,45, England, <=50K\n52, Private,177995, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, Mexico, >50K\n24, Private,283613, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K\n56, Self-emp-inc,184598, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, <=50K\n27, Private,185647, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n47, Self-emp-inc,192894, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,45, United-States, >50K\n40, Self-emp-not-inc,284706, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,1977,60, United-States, >50K\n38, Private,179579, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,131679, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, Private,132973, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n22, Private,154713, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,121718, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K\n30, Private,255279, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n55, Private,202559, Bachelors,13, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,35, Philippines, <=50K\n25, Private,123095, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,1590,40, United-States, <=50K\n32, Private,153326, Bachelors,13, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, <=50K\n28, Private,75695, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K\n33, Self-emp-inc,206609, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,234780, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,40, United-States, <=50K\n27, Private,178778, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,171355, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,20, United-States, <=50K\n63, Federal-gov,95680, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,18, United-States, >50K\n39, Private,196673, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,5013,0,40, United-States, <=50K\n51, Federal-gov,73670, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386,0,52, United-States, >50K\n67, Self-emp-not-inc,139960, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-inc,397280, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,72, ?, <=50K\n27, Private,60374, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Female,0,1594,26, United-States, <=50K\n54, Private,421561, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n59, Private,245196, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K\n18, Private,27620, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n19, Private,187570, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n31, Private,102884, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,228399, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,7, United-States, <=50K\n42, Private,340234, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,15024,0,40, United-States, >50K\n37, Private,176293, Some-college,10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n51, Local-gov,108435, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,161187, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,2463,0,40, United-States, <=50K\n23, Private,278391, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,157941, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,182866, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n69, Private,370888, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,2964,0,6, Germany, <=50K\n30, Private,206512, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,44, United-States, <=50K\n33, Private,357954, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,35, India, <=50K\n28, Private,189346, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,48, United-States, <=50K\n45, Private,234652, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n25, Private,113436, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K\n37, Private,204145, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n59, Private,157305, Preschool,1, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Dominican-Republic, <=50K\n26, Private,104045, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n48, Private,280422, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,25, Peru, <=50K\n64, Federal-gov,173754, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,211154, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,321435, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, State-gov,177083, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n46, Private,178829, Masters,14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, >50K\n35, Federal-gov,287658, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K\n43, Private,209894, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n31, Private,334744, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,306967, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n35, Private,52187, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n35, Private,101978, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n35, State-gov,483530, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Private,77357, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,149770, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,328606, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,14084,0,63, United-States, >50K\n70, ?,172652, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n46, Private,188293, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,116608, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,38, United-States, <=50K\n37, State-gov,348960, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K\n24, Private,329530, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, Mexico, <=50K\n47, Local-gov,93476, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K\n35, Self-emp-not-inc,195744, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n43, Private,125833, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n18, State-gov,191117, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n54, Private,311020, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n62, Private,210464, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,38, United-States, <=50K\n36, Private,135289, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n27, Private,156266, 9th,5, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n23, Private,154210, Some-college,10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,0,0,14, Puerto-Rico, <=50K\n61, ?,160625, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,4386,0,15, United-States, >50K\n39, Self-emp-not-inc,331481, Bachelors,13, Divorced, Craft-repair, Not-in-family, Black, Male,0,1669,60, ?, <=50K\n33, Self-emp-not-inc,249249, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,261725, 1st-4th,2, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n22, Private,239612, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n31, Self-emp-not-inc,226696, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n26, Private,190330, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n44, Private,193755, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n73, Private,192740, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n44, Private,201924, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n35, Private,77146, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n33, Private,126414, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, ?, <=50K\n27, Private,43652, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Federal-gov,227244, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,50, United-States, >50K\n29, Private,160731, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n33, Private,287878, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,26, United-States, <=50K\n50, Private,166758, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K\n32, Private,183811, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2829,0,40, United-States, <=50K\n41, Self-emp-not-inc,254818, Masters,14, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, Peru, <=50K\n19, ?,220517, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n45, Private,295046, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n65, Private,190568, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,810,36, United-States, <=50K\n42, State-gov,211915, Some-college,10, Separated, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,295621, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,25, United-States, >50K\n32, Private,204567, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,60, United-States, >50K\n42, Private,204235, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,186982, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n38, Private,133586, HS-grad,9, Married-civ-spouse, Protective-serv, Own-child, White, Male,0,0,45, United-States, <=50K\n38, Private,165930, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n37, Private,164898, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K\n24, Private,278155, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K\n27, Self-emp-not-inc,115705, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n25, Private,150553, 9th,5, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n29, Private,185127, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,201595, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K\n44, Self-emp-inc,165815, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,96, United-States, <=50K\n26, Private,102420, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,40, South, <=50K\n46, Local-gov,344172, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,49, United-States, >50K\n38, Private,222450, Some-college,10, Separated, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n38, Private,212245, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, State-gov,190625, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n33, Private,203488, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,304260, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n31, Local-gov,243665, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,41, United-States, >50K\n26, Self-emp-not-inc,189238, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,4, Mexico, <=50K\n42, Private,77373, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K\n27, Private,410351, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,36385, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n64, Private,110150, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,198316, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,127772, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,199058, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n56, Private,285730, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,66, United-States, <=50K\n25, Local-gov,334133, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n60, State-gov,97030, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n52, Private,67090, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n43, Private,397963, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,594,0,16, United-States, <=50K\n46, Private,182533, Bachelors,13, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n19, Private,560804, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n56, Private,365050, 7th-8th,4, Never-married, Farming-fishing, Unmarried, Black, Female,0,0,20, United-States, <=50K\n22, Private,110200, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,150025, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K\n39, Private,299828, 5th-6th,3, Separated, Sales, Unmarried, Black, Female,0,0,30, Puerto-Rico, <=50K\n28, Private,109282, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,103435, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,34747, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n39, Private,137522, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K\n39, Private,286789, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Self-emp-not-inc,211032, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n67, ?,192916, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,3818,0,11, United-States, <=50K\n31, Private,219318, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, Puerto-Rico, <=50K\n50, Private,112873, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,36069, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3908,0,46, United-States, <=50K\n48, Private,73434, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Germany, >50K\n51, Private,200576, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,172962, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,44006, Assoc-voc,11, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,234474, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n37, Private,212826, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n38, Private,234901, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n59, Federal-gov,200700, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,41258, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n51, Private,249644, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, >50K\n60, ?,230165, Bachelors,13, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Private,351731, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,114765, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,349884, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n28, Self-emp-inc,204247, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,143392, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,37913, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Italy, >50K\n22, Self-emp-inc,150683, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,24, United-States, <=50K\n27, Private,207611, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,52, United-States, <=50K\n45, State-gov,319666, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, <=50K\n39, Private,155961, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K\n25, Local-gov,117833, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n63, ?,447079, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,15, United-States, <=50K\n24, Self-emp-inc,142404, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,155752, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,30, United-States, <=50K\n19, ?,252292, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,111450, 12th,8, Never-married, Other-service, Unmarried, Black, Male,0,0,38, United-States, <=50K\n20, Private,528616, 5th-6th,3, Never-married, Other-service, Other-relative, White, Male,0,0,40, Mexico, <=50K\n17, Self-emp-not-inc,228786, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n63, Self-emp-inc,80572, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n28, Local-gov,180271, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,65, United-States, >50K\n51, Federal-gov,237819, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n29, Private,157612, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,3325,0,45, United-States, <=50K\n64, Private,379062, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,12, United-States, <=50K\n17, Private,191910, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n45, Local-gov,326064, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,6497,0,35, United-States, <=50K\n18, Private,312353, 12th,8, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n31, Local-gov,213307, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,209057, Bachelors,13, Married-spouse-absent, Sales, Own-child, White, Male,0,0,50, United-States, >50K\n41, Private,340148, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n65, Private,154171, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,60, United-States, >50K\n27, Private,94064, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,119098, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,388496, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,8, Puerto-Rico, >50K\n49, Private,181363, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n58, ?,210031, HS-grad,9, Divorced, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Private,206951, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,45, United-States, >50K\n25, Private,485496, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n41, Private,210259, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,37, United-States, <=50K\n31, Private,118551, 9th,5, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n63, Private,180911, 11th,7, Married-civ-spouse, Protective-serv, Husband, White, Male,4386,0,37, United-States, >50K\n50, State-gov,242517, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n63, Private,298113, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,277783, Masters,14, Never-married, Farming-fishing, Own-child, White, Male,0,0,99, United-States, <=50K\n48, Private,155862, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K\n51, Self-emp-not-inc,171924, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n18, Private,243900, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n23, Private,231160, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n31, Private,356882, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013,0,40, United-States, <=50K\n38, Private,49020, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,105460, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, England, <=50K\n56, Private,157749, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n31, Private,131568, 7th-8th,4, Divorced, Transport-moving, Unmarried, White, Male,0,0,20, United-States, <=50K\n46, Private,332355, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,204501, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n56, Local-gov,305767, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n31, Private,129761, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-inc,130126, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K\n53, Private,102828, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n18, Private,160984, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n18, ?,255282, 11th,7, Never-married, ?, Own-child, Black, Male,0,1602,48, United-States, <=50K\n20, ?,346341, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n27, Private,285897, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,45, United-States, >50K\n31, Private,356689, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Federal-gov,192386, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,40, United-States, <=50K\n46, Private,394860, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,113129, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K\n26, Private,55929, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Local-gov,177018, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,161141, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,309463, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,165468, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K\n24, Private,49218, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n74, Self-emp-not-inc,119129, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,2149,20, United-States, <=50K\n56, Self-emp-not-inc,162130, 5th-6th,3, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,67, United-States, >50K\n39, Federal-gov,129573, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,1741,40, United-States, <=50K\n21, Private,306850, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,135296, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,2258,45, United-States, >50K\n43, Self-emp-not-inc,187322, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,45, United-States, <=50K\n23, Private,55674, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,2907,0,40, United-States, <=50K\n26, Private,148298, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n47, Private,34845, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n27, Private,200733, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K\n45, Private,191858, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n30, Private,425528, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,70, United-States, <=50K\n35, Private,44780, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,20, United-States, >50K\n33, Private,125856, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,100508, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,148294, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n42, Private,39324, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n48, Federal-gov,147397, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,36, United-States, <=50K\n46, Private,24728, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,48, United-States, <=50K\n36, Private,177616, 5th-6th,3, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,163826, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,199947, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n26, Local-gov,386949, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,25, United-States, <=50K\n36, Self-emp-inc,116133, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,57, United-States, <=50K\n56, Self-emp-not-inc,196307, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n37, Private,177181, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,324854, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n23, Private,188505, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n23, State-gov,502316, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, State-gov,26892, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, Private,102058, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n39, Private,167728, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n67, Local-gov,233681, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n60, Private,26756, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n54, Private,101890, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,192337, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, England, >50K\n47, Private,340982, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,3103,0,40, Philippines, >50K\n49, State-gov,102308, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K\n19, Private,84747, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K\n20, Private,197752, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n66, Private,185336, HS-grad,9, Widowed, Sales, Other-relative, White, Female,0,0,35, United-States, <=50K\n22, ?,289984, Some-college,10, Never-married, ?, Not-in-family, Black, Female,0,0,25, United-States, <=50K\n51, Self-emp-not-inc,125417, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n19, Private,278480, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,146412, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,193042, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n41, Private,53956, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,1980,56, United-States, <=50K\n90, Private,175491, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,9386,0,50, Ecuador, >50K\n78, ?,33186, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K\n36, Private,144154, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,194901, Prof-school,15, Divorced, Sales, Own-child, White, Male,0,0,55, United-States, <=50K\n35, Private,335777, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n46, Private,139268, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n38, Private,33887, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n24, Private,283613, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,141245, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Puerto-Rico, <=50K\n49, Private,298130, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,186096, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,30, United-States, <=50K\n77, Private,187656, Some-college,10, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,20, United-States, <=50K\n46, Private,102308, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,56, United-States, >50K\n41, Private,124639, Some-college,10, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n28, Private,388112, 1st-4th,2, Never-married, Farming-fishing, Unmarried, White, Male,0,0,77, Mexico, <=50K\n21, Private,109952, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,164529, 12th,8, Never-married, Farming-fishing, Own-child, Black, Male,0,0,40, United-States, <=50K\n36, Private,247750, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,45, United-States, <=50K\n23, State-gov,103588, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K\n38, Federal-gov,248919, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2051,40, United-States, <=50K\n29, Self-emp-not-inc,178551, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,136137, Some-college,10, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0,0,50, United-States, >50K\n47, Federal-gov,55377, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, >50K\n39, Local-gov,177728, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Local-gov,243580, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K\n21, ?,188535, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,63910, HS-grad,9, Divorced, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n23, Private,219535, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n44, State-gov,180609, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,59313, Some-college,10, Separated, Other-service, Not-in-family, Black, Male,0,0,40, ?, <=50K\n70, Private,170428, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,20, Puerto-Rico, <=50K\n51, Private,102615, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1977,40, United-States, >50K\n66, Private,193132, 9th,5, Separated, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n57, Self-emp-inc,124137, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,136629, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n48, Self-emp-inc,148995, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K\n24, ?,203076, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,63424, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n43, Private,241895, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,266973, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n32, Private,188048, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,366929, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n33, Private,214129, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,250818, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Local-gov,240979, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,98283, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, India, >50K\n26, Private,104746, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,60, United-States, <=50K\n39, Private,103710, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,60, United-States, <=50K\n24, Private,159580, Bachelors,13, Never-married, Other-service, Own-child, Black, Female,0,0,75, United-States, <=50K\n45, Private,117409, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,140001, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n49, State-gov,31650, Bachelors,13, Married-civ-spouse, Prof-specialty, Other-relative, White, Female,0,0,45, United-States, <=50K\n35, State-gov,80771, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,66278, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,107801, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1617,25, United-States, <=50K\n33, Private,206609, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,282461, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n31, Private,188246, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n20, Private,279763, 11th,7, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,25, United-States, <=50K\n44, Private,467799, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,137674, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n50, Private,158284, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,204219, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K\n28, State-gov,210498, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n60, Federal-gov,63526, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n38, Federal-gov,216924, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,372559, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n57, Federal-gov,199114, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,2258,40, United-States, <=50K\n50, Private,168539, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Local-gov,189911, 11th,7, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n69, Local-gov,61958, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,1424,0,6, United-States, <=50K\n51, State-gov,68898, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Male,0,2444,39, United-States, >50K\n42, Private,204450, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n53, Private,311350, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,113750, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,359591, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,132879, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K\n20, Private,301199, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n38, State-gov,267540, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K\n52, Private,185407, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, Poland, >50K\n48, Self-emp-inc,191277, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n30, Private,78980, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n37, Self-emp-not-inc,241463, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,65, United-States, >50K\n47, Private,216999, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n33, Local-gov,120508, Bachelors,13, Divorced, Protective-serv, Unmarried, White, Female,0,0,60, Germany, <=50K\n33, Private,122612, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Thailand, <=50K\n20, Private,94057, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n41, State-gov,197558, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,351869, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1485,45, United-States, >50K\n54, Self-emp-not-inc,121761, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, ?, <=50K\n36, Federal-gov,184556, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n46, Private,268281, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,235646, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,186909, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n62, Private,35783, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n33, Private,188861, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,363591, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n18, Private,469921, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Private,51150, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,174325, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n20, Private,347530, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K\n50, Private,72351, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n42, Local-gov,185129, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, ?, >50K\n36, Private,188571, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,255252, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,291951, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,223046, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,37937, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,43, United-States, <=50K\n38, Private,295127, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,183801, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,14, United-States, <=50K\n40, Private,116218, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n40, Private,143069, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,235951, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n57, Private,112840, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n65, Local-gov,146454, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1648,4, Greece, <=50K\n52, Federal-gov,43705, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n59, Private,122283, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999,0,40, India, >50K\n18, Private,376647, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,2176,0,25, United-States, <=50K\n48, Private,101299, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n45, Private,96798, 5th-6th,3, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, Private,194654, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n27, State-gov,206889, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,226902, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n44, State-gov,150755, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5013,0,40, United-States, <=50K\n24, Private,200679, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,50, United-States, <=50K\n71, Private,183678, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,16, United-States, <=50K\n17, Private,33138, 12th,8, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,57071, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,40, United-States, <=50K\n71, ?,35303, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,9386,0,30, United-States, >50K\n37, Private,188576, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n33, Private,169496, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,58124, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,356344, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,444134, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,15, United-States, <=50K\n18, ?,340117, 11th,7, Never-married, ?, Unmarried, Black, Female,0,0,50, United-States, <=50K\n34, Private,219619, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, ?,334585, 10th,6, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n27, Local-gov,331046, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n46, ?,443179, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K\n64, ?,239529, 11th,7, Widowed, ?, Not-in-family, White, Female,3674,0,35, United-States, <=50K\n24, Private,100345, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n23, Private,205653, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n33, Private,112383, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,21626, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,2202,0,56, United-States, <=50K\n25, Private,135568, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,190532, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K\n53, Federal-gov,266598, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n38, Local-gov,116608, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n36, Private,353263, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K\n25, State-gov,157617, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Federal-gov,21698, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,77143, 12th,8, Separated, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K\n18, State-gov,342852, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,176602, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n26, Private,146343, Some-college,10, Married-civ-spouse, Sales, Wife, Black, Female,0,0,40, United-States, <=50K\n68, ?,146645, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,20051,0,50, United-States, >50K\n33, Private,221966, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,2202,0,50, United-States, <=50K\n22, Private,215546, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K\n50, State-gov,173020, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, ?,247734, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n44, Private,252202, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,497300, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,426431, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Federal-gov,162410, Some-college,10, Widowed, Tech-support, Not-in-family, White, Female,0,0,45, United-States, >50K\n77, ?,143516, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, >50K\n25, Private,190350, 10th,6, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n20, Private,194504, Some-college,10, Separated, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Federal-gov,110884, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n26, Private,187652, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,81400, 1st-4th,2, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, El-Salvador, <=50K\n70, ?,97831, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,4, United-States, <=50K\n57, Private,180920, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,189186, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, ?,144172, Assoc-acdm,12, Married-civ-spouse, ?, Wife, White, Female,0,0,16, United-States, <=50K\n36, Private,607848, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,45, United-States, >50K\n32, Private,207301, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,293073, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n36, Private,210452, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,45, United-States, <=50K\n19, Private,41400, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n27, Private,164170, Bachelors,13, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female,0,0,20, Philippines, <=50K\n48, Private,112906, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K\n49, Self-emp-not-inc,126268, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n55, Private,208311, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,20, United-States, >50K\n61, Private,28291, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Female,0,0,82, United-States, <=50K\n42, Local-gov,121998, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n42, Federal-gov,31621, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Local-gov,108386, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,134727, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,208391, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,112271, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n30, Private,173350, Assoc-voc,11, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,243190, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,20, India, >50K\n55, Private,185436, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n36, Private,290409, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,80058, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,48, United-States, <=50K\n56, Local-gov,370045, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,36936, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2002,40, United-States, <=50K\n37, Private,231180, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,119793, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,60, United-States, <=50K\n38, Private,102178, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n76, ?,135039, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n35, ?,317780, Some-college,10, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, Private,232840, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,43, United-States, <=50K\n35, Private,33975, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,256997, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n64, Private,298301, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,310380, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n45, Local-gov,182100, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,501172, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Mexico, <=50K\n43, State-gov,143939, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, >50K\n23, Private,85088, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,37, United-States, <=50K\n25, Private,282313, 10th,6, Never-married, Handlers-cleaners, Own-child, Black, Male,0,1602,40, United-States, <=50K\n39, Private,230054, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n63, Private,236338, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,35, United-States, <=50K\n37, Private,321943, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n26, Federal-gov,218782, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Other, Male,0,0,40, United-States, <=50K\n33, Private,191385, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Canada, <=50K\n45, Self-emp-inc,185497, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,70, ?, <=50K\n28, Private,126129, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,199268, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n34, Private,255693, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K\n34, Private,203488, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,203233, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,203836, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n36, Private,187847, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n38, Private,116358, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n46, Self-emp-inc,198660, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,72, United-States, >50K\n43, Self-emp-not-inc,89636, Bachelors,13, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,60, South, <=50K\n49, Private,120629, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n26, Local-gov,150226, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K\n28, Private,137898, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n54, Self-emp-inc,146574, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,88725, HS-grad,9, Never-married, Craft-repair, Not-in-family, Other, Female,0,0,40, ?, <=50K\n24, Private,142022, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n23, Private,284898, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,30, United-States, <=50K\n55, Local-gov,212448, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,203039, 9th,5, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,227489, HS-grad,9, Never-married, Tech-support, Other-relative, Black, Male,0,0,40, ?, <=50K\n19, Private,105289, 10th,6, Never-married, Other-service, Other-relative, Black, Female,0,0,20, United-States, <=50K\n28, ?,223745, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,242994, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,52, United-States, <=50K\n30, Private,196385, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n76, Private,116202, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,33, United-States, <=50K\n47, Private,140045, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,133503, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,2174,0,40, United-States, <=50K\n40, Private,226585, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n24, Private,85041, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n30, Private,162442, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,50, United-States, >50K\n67, Private,279980, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,10605,0,10, United-States, >50K\n24, Private,216563, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n43, Local-gov,231964, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,263855, 12th,8, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n40, Private,124915, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n61, Federal-gov,178312, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n45, Local-gov,215862, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, United-States, >50K\n21, State-gov,39236, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K\n58, Private,349910, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n52, Private,75839, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,176711, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,266525, Some-college,10, Never-married, Prof-specialty, Other-relative, Black, Female,594,0,20, United-States, <=50K\n25, ?,34307, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,331776, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,111469, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, State-gov,198965, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,288185, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n21, Private,198050, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n65, Private,242580, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,11678,0,50, United-States, >50K\n37, Private,173128, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,87905, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,10520,0,40, United-States, >50K\n44, Private,173704, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Federal-gov,93225, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,40, United-States, >50K\n38, Private,323269, Some-college,10, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K\n35, Private,158046, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5013,0,70, United-States, <=50K\n32, Private,133503, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,172296, Some-college,10, Separated, Sales, Unmarried, White, Male,0,0,60, United-States, <=50K\n39, ?,201105, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,30, United-States, <=50K\n23, Private,176486, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,25, United-States, <=50K\n25, Self-emp-inc,182750, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, >50K\n23, Private,82497, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,28, United-States, <=50K\n47, Private,208872, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,145269, 11th,7, Divorced, Craft-repair, Not-in-family, White, Female,0,0,45, United-States, <=50K\n25, Private,19214, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,149347, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n68, ?,53850, 7th-8th,4, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n50, Private,158294, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,3103,0,40, United-States, >50K\n47, Private,152073, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,189623, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n24, Private,341368, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,201603, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,2176,0,40, United-States, <=50K\n35, Private,270572, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n30, Private,285295, Bachelors,13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n17, Private,126779, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n49, ?,202874, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,40, Columbia, <=50K\n27, Private,373499, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,60, El-Salvador, <=50K\n22, Private,244773, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,15, United-States, <=50K\n22, State-gov,96862, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,162632, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,2, United-States, <=50K\n51, Self-emp-not-inc,159755, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, >50K\n27, Private,37088, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, United-States, <=50K\n27, Private,335421, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n23, Never-worked,188535, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K\n20, State-gov,349365, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,33002, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n32, Private,330715, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K\n45, Private,146857, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K\n35, Private,275522, 7th-8th,4, Widowed, Other-service, Unmarried, White, Female,0,0,80, United-States, <=50K\n22, Private,43646, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,154548, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n28, Private,47907, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,238397, Bachelors,13, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,24, United-States, <=50K\n48, Local-gov,195949, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,42, United-States, >50K\n22, ?,354351, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,349169, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n25, Private,158662, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, United-States, >50K\n23, Local-gov,23438, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,107302, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n43, Private,174196, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Local-gov,226871, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K\n23, Private,124971, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,214061, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,441700, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-inc,104892, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,58, United-States, >50K\n34, Private,234386, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Local-gov,188278, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,244395, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n35, Private,30916, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n48, Private,219565, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,377486, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,36, United-States, <=50K\n42, Local-gov,137232, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Female,0,0,50, United-States, <=50K\n53, Private,233369, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,71067, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K\n59, Private,195176, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,72, United-States, <=50K\n31, Private,98639, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n34, Private,183778, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,123011, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,2559,50, United-States, >50K\n25, Private,164938, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,4416,0,40, United-States, <=50K\n28, ?,147471, HS-grad,9, Divorced, ?, Own-child, White, Female,0,0,10, United-States, <=50K\n30, Private,206046, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,40, United-States, >50K\n46, Private,81497, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,48, United-States, <=50K\n45, Private,189225, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,141264, Some-college,10, Never-married, Exec-managerial, Other-relative, Black, Female,0,0,40, United-States, <=50K\n33, Private,97939, Assoc-acdm,12, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,42, United-States, <=50K\n44, Private,160829, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,20, United-States, >50K\n25, Private,483822, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, El-Salvador, <=50K\n48, State-gov,148738, Some-college,10, Divorced, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,289982, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,58702, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,3103,0,50, United-States, >50K\n20, Private,146706, Some-college,10, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,30, United-States, <=50K\n23, Private,420973, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n71, Private,124959, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, State-gov,121471, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,198237, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n27, Private,280758, 11th,7, Never-married, Craft-repair, Other-relative, White, Male,0,0,60, United-States, <=50K\n40, Private,191544, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n30, Private,261023, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,50, United-States, <=50K\n30, State-gov,231043, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,340917, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,167140, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,40, United-States, <=50K\n39, Private,370795, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n39, Federal-gov,209609, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n74, Private,209454, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n32, Self-emp-inc,78530, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n25, Private,88922, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n64, Private,86972, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,165468, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K\n37, Private,134367, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,37, United-States, >50K\n47, Private,199058, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,183612, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,191982, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K\n22, Private,514033, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,80, United-States, <=50K\n56, Private,172364, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,190105, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,55, United-States, <=50K\n30, Self-emp-inc,119422, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n20, Private,236592, 12th,8, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, Italy, <=50K\n53, State-gov,43952, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,38, United-States, >50K\n43, Private,194636, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n23, Private,235853, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,150528, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n30, Private,213722, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,41432, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,46, United-States, <=50K\n22, Private,285775, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,470663, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n54, Self-emp-not-inc,114520, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,113466, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,224559, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n59, Private,186385, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, ?,167094, 10th,6, Divorced, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K\n18, ?,216508, 12th,8, Never-married, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K\n41, Local-gov,384236, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,181265, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n58, Private,190997, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,98287, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,103456, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,184723, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,1980,35, United-States, <=50K\n25, Private,165622, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n29, Private,101597, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,54, United-States, <=50K\n53, Private,146378, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n63, Local-gov,152163, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n26, State-gov,106812, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n21, Private,148211, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,3674,0,50, United-States, <=50K\n45, Private,187581, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,135296, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n72, Local-gov,144515, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1258,40, United-States, <=50K\n51, Private,210736, 10th,6, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n21, Private,210165, 9th,5, Married-spouse-absent, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,224584, Some-college,10, Divorced, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, Private,80771, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n46, Private,164733, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,41, United-States, <=50K\n31, Self-emp-not-inc,119411, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, >50K\n68, Local-gov,177596, 10th,6, Separated, Other-service, Not-in-family, Black, Female,0,0,90, United-States, <=50K\n43, ?,396116, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,185251, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,173590, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,3, United-States, <=50K\n56, Federal-gov,196307, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, ?,293091, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,12, United-States, <=50K\n36, Private,175232, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n21, Private,51047, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n21, Private,334618, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Female,99999,0,40, United-States, >50K\n52, Local-gov,152795, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-inc,205601, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,70, United-States, >50K\n52, Private,129177, Bachelors,13, Widowed, Other-service, Not-in-family, White, Female,0,2824,20, United-States, >50K\n51, Self-emp-not-inc,121548, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K\n29, Private,244566, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Private,75073, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,55, United-States, <=50K\n29, Private,179008, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n21, Private,170800, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n58, Private,373344, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,127961, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,99392, Some-college,10, Divorced, Craft-repair, Not-in-family, Black, Female,0,0,45, United-States, <=50K\n30, Private,392812, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, Germany, <=50K\n29, Private,262478, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,30, United-States, <=50K\n48, Self-emp-not-inc,32825, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,167380, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,203204, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,25, United-States, >50K\n35, Federal-gov,105138, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n54, Private,145714, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,7688,0,25, United-States, >50K\n24, Private,182276, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, <=50K\n20, Private,275385, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,45, United-States, <=50K\n30, Self-emp-not-inc,292472, Some-college,10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,55, United-States, >50K\n19, Self-emp-not-inc,73514, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,30, United-States, <=50K\n26, Private,199600, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n38, Private,111499, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1977,99, United-States, >50K\n25, Private,202560, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,99309, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n60, Local-gov,124987, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n30, Private,287986, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,119411, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,198668, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,117583, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,234664, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, ?,114357, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, State-gov,176949, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, <=50K\n33, Private,189710, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, Mexico, <=50K\n65, Private,205309, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,24, United-States, <=50K\n34, Private,195576, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n20, Private,216825, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, Mexico, <=50K\n23, ?,329174, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,197036, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,181291, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,1564,50, United-States, >50K\n31, Private,206512, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n28, State-gov,38309, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,6849,0,40, United-States, <=50K\n37, Private,312766, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, Private,139671, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n66, Federal-gov,38621, Assoc-voc,11, Widowed, Other-service, Unmarried, Black, Female,3273,0,40, United-States, <=50K\n31, Private,124827, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,77820, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n45, Federal-gov,56904, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5013,0,45, United-States, <=50K\n45, Private,190115, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n44, Private,106682, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n32, Local-gov,42596, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,143058, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, >50K\n53, Private,102615, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, Canada, <=50K\n54, Private,139703, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, Germany, >50K\n43, Private,240124, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,132565, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n49, Private,323798, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,3325,0,50, United-States, <=50K\n52, Private,96359, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,57, United-States, >50K\n20, Private,165201, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,4, United-States, <=50K\n60, Federal-gov,165630, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,40, United-States, >50K\n45, Private,264526, Assoc-acdm,12, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Private,102359, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K\n28, Private,37359, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n61, ?,232618, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n48, Local-gov,115497, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,157747, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K\n27, Self-emp-not-inc,41099, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n38, Private,472604, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, Mexico, <=50K\n33, Private,348618, 5th-6th,3, Married-spouse-absent, Transport-moving, Unmarried, Other, Male,0,0,20, El-Salvador, <=50K\n43, Private,135606, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n36, Private,248445, HS-grad,9, Separated, Transport-moving, Other-relative, White, Male,0,0,60, Mexico, <=50K\n38, Private,112093, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n24, Local-gov,197552, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,303822, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,288566, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, ?,487411, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n46, Self-emp-not-inc,43348, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n39, State-gov,239409, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K\n50, Private,337606, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1485,40, United-States, <=50K\n34, Private,32528, Assoc-voc,11, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,974,40, United-States, <=50K\n47, State-gov,118447, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n46, Private,234690, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n23, ?,141003, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K\n43, Private,216042, Some-college,10, Divorced, Tech-support, Own-child, White, Female,0,1617,72, United-States, <=50K\n45, Private,190482, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n55, Private,381965, Bachelors,13, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n68, Private,186943, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,8, United-States, <=50K\n39, Private,142707, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,53447, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,127772, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,344414, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,194138, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n49, ?,558183, Assoc-voc,11, Married-spouse-absent, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,150154, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,306114, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n72, ?,177121, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,3, United-States, <=50K\n58, Local-gov,368797, Masters,14, Widowed, Prof-specialty, Unmarried, White, Male,0,0,35, United-States, >50K\n43, Self-emp-inc,175715, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,55, United-States, <=50K\n62, Private,416829, 11th,7, Separated, Other-service, Not-in-family, Black, Female,0,0,21, United-States, <=50K\n21, Private,350001, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n26, Private,339952, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n27, Private,114967, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,164190, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,38, United-States, >50K\n49, Local-gov,166039, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,250135, HS-grad,9, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,234960, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,1887,48, United-States, >50K\n29, Private,103628, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n58, Private,430005, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n45, Self-emp-inc,106517, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,162236, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Private,92430, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n52, Local-gov,40641, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n47, Private,169388, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K\n36, Local-gov,410034, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n48, Private,237525, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,65, United-States, >50K\n35, Private,150057, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,148549, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n43, Private,75742, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n33, Private,177675, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, >50K\n49, Local-gov,193249, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,266072, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,20, El-Salvador, <=50K\n28, ?,80165, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n25, Private,339324, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n69, ?,111238, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n41, Self-emp-not-inc,284086, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n31, Private,206051, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,426263, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K\n49, Private,102583, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,44, United-States, >50K\n40, Private,277647, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,124808, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, Germany, >50K\n47, Private,193061, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n50, Private,121411, 12th,8, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,89202, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K\n17, Private,232900, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n30, Local-gov,319280, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n79, ?,165209, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,193494, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n67, Self-emp-not-inc,195066, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,99146, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n35, Private,92028, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,174419, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,57916, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,383384, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,198223, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,45, United-States, >50K\n20, Private,109813, 11th,7, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K\n17, Private,174298, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n40, Private,45687, Some-college,10, Divorced, Other-service, Not-in-family, Black, Male,4787,0,50, United-States, >50K\n28, Private,263614, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,96128, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,220262, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,35340, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n47, Private,280483, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n52, Self-emp-inc,254211, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K\n29, Private,351324, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,58602, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n37, Private,64922, Bachelors,13, Separated, Other-service, Not-in-family, White, Male,0,0,70, England, <=50K\n41, Federal-gov,185616, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,1980,40, United-States, <=50K\n43, Private,185832, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K\n24, Private,254767, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,2105,0,50, United-States, <=50K\n39, Federal-gov,32312, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n47, Self-emp-not-inc,109421, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n42, Private,183205, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n39, Private,156897, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,2258,42, United-States, >50K\n48, Local-gov,145886, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K\n47, Local-gov,29819, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1977,50, United-States, >50K\n27, Private,244566, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,253801, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Ecuador, <=50K\n22, Private,181313, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n37, State-gov,150566, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K\n38, Private,237713, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n32, Private,112137, Preschool,1, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,4508,0,40, Cambodia, <=50K\n48, Local-gov,187969, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,80, United-States, <=50K\n46, Self-emp-not-inc,224108, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K\n51, Private,174754, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n28, Self-emp-inc,219705, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,55, United-States, <=50K\n35, Private,167062, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,190325, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K\n45, Private,108859, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,344351, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n73, Private,153127, Some-college,10, Widowed, Priv-house-serv, Unmarried, White, Female,0,0,10, United-States, <=50K\n52, Private,180881, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,183066, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Federal-gov,339002, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,185480, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, ?, >50K\n20, Private,172047, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K\n42, Private,94600, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n37, Private,302604, Some-college,10, Separated, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n40, Private,248094, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,36467, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n29, Private,53181, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n20, Private,181032, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,248990, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,40512, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,3674,0,30, United-States, <=50K\n37, Private,117381, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,80, United-States, >50K\n18, ?,173125, 12th,8, Never-married, ?, Own-child, White, Female,0,0,24, United-States, <=50K\n33, ?,316663, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,50, United-States, <=50K\n26, Private,154966, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n24, Private,198259, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n33, Private,167939, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n23, Private,131275, HS-grad,9, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n20, ?,236523, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n36, Private,272950, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n37, Private,174503, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n24, Private,116800, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,35, United-States, <=50K\n38, Private,110713, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n50, Private,202044, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K\n44, Private,300528, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,54985, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K\n57, Private,133126, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n37, Private,74593, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n44, Private,302424, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,55, United-States, <=50K\n21, Private,344492, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n31, Private,349148, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,222221, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,42, United-States, >50K\n45, Private,234699, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,60, United-States, >50K\n20, Local-gov,243178, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Private,189728, HS-grad,9, Separated, Priv-house-serv, Not-in-family, White, Female,0,0,50, United-States, <=50K\n47, Self-emp-not-inc,318593, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K\n41, Private,108681, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n40, Private,187376, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n41, State-gov,75409, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n46, Private,172581, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n49, Private,266150, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n65, Private,271092, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, ?, <=50K\n50, Private,135643, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female,0,0,40, China, <=50K\n59, Private,46466, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,130652, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n47, Local-gov,114459, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K\n47, ?,109832, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,5178,0,30, Canada, >50K\n45, Private,195554, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n17, Private,244589, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-inc,271901, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,32, United-States, >50K\n73, Private,139978, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,180446, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n64, ?,178724, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K\n38, State-gov,341643, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n37, Federal-gov,289653, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n62, Self-emp-inc,118725, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,20051,0,72, United-States, >50K\n26, Private,187891, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n46, Self-emp-inc,116338, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n46, Private,102771, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,40, United-States, >50K\n51, Private,89652, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,4787,0,24, United-States, >50K\n54, Federal-gov,439608, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Private,330144, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,251905, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n37, Private,218955, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,188972, Doctorate,16, Separated, Prof-specialty, Unmarried, White, Female,0,0,10, Canada, <=50K\n60, Self-emp-not-inc,25825, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n33, Private,202046, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,2001,40, United-States, <=50K\n62, Private,116104, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, Germany, <=50K\n20, Private,194891, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,125550, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,14084,0,35, United-States, >50K\n66, Private,116468, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,2936,0,20, United-States, <=50K\n32, ?,285131, Assoc-acdm,12, Never-married, ?, Unmarried, White, Male,0,0,20, United-States, <=50K\n29, State-gov,409201, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n70, Self-emp-inc,379819, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,10566,0,40, United-States, <=50K\n74, Private,97167, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,15, United-States, <=50K\n37, Local-gov,244803, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n51, Self-emp-not-inc,115851, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,118058, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n42, Private,258589, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K\n26, Private,158810, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, <=50K\n27, Local-gov,92431, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,2231,40, United-States, >50K\n58, Self-emp-not-inc,165695, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, <=50K\n30, ?,97281, Some-college,10, Separated, ?, Not-in-family, White, Male,0,0,60, United-States, <=50K\n32, Private,244147, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1876,50, United-States, <=50K\n66, Self-emp-inc,253741, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1825,10, United-States, >50K\n23, Private,170482, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K\n35, Private,241001, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, <=50K\n50, Private,165001, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n17, ?,297117, 11th,7, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,340260, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,48, United-States, <=50K\n31, Private,96480, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n30, Private,185177, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,49, United-States, <=50K\n84, Self-emp-inc,172907, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K\n35, Self-emp-not-inc,308874, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,54098, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n46, Private,288608, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,254148, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n37, Private,111128, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,171116, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n53, Self-emp-inc,96062, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,48, United-States, >50K\n27, Federal-gov,276776, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,152878, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,149211, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,58343, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n38, Private,127601, Some-college,10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,35, United-States, <=50K\n29, Private,357781, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,137367, Some-college,10, Never-married, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male,0,0,44, Philippines, <=50K\n34, Private,110978, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n31, Private,34503, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,84119, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, United-States, <=50K\n20, Private,223515, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,372525, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,0,0,48, United-States, <=50K\n32, Private,116365, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K\n36, Private,111268, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n54, Private,225599, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7298,0,40, India, >50K\n78, ?,83511, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Portugal, <=50K\n46, Self-emp-not-inc,199596, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n18, Private,301867, HS-grad,9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K\n57, Private,191983, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K\n37, Private,105803, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,456236, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,116255, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n32, Private,235109, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Federal-gov,91716, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,121102, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,2001,30, United-States, <=50K\n70, Private,235781, Some-college,10, Divorced, Farming-fishing, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n40, Private,136986, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n40, Self-emp-not-inc,33658, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,53878, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n29, Private,200928, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,173736, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n28, Private,214385, Assoc-voc,11, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K\n58, Private,102509, 10th,6, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n38, Private,173047, Bachelors,13, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,213,40, Philippines, <=50K\n59, Self-emp-not-inc,241297, Some-college,10, Widowed, Farming-fishing, Not-in-family, White, Female,6849,0,40, United-States, <=50K\n18, Private,329054, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n40, Private,274158, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-inc,241153, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,200117, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,1887,50, ?, >50K\n45, Private,229516, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,72, Mexico, <=50K\n62, ?,250091, Bachelors,13, Divorced, ?, Not-in-family, White, Male,0,0,5, United-States, <=50K\n24, State-gov,247075, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,20, United-States, <=50K\n22, Private,315524, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,30, Dominican-Republic, <=50K\n23, Private,126945, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,29874, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, >50K\n28, Private,115579, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,38, United-States, <=50K\n51, Private,29580, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,4386,0,30, United-States, >50K\n44, Private,56483, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,37, United-States, <=50K\n73, ?,89852, 1st-4th,2, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Portugal, <=50K\n24, Private,420779, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,35, United-States, <=50K\n24, Private,255474, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,241444, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,50, Puerto-Rico, <=50K\n43, Private,85995, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n67, Self-emp-inc,116986, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n31, Private,217962, 12th,8, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, ?, <=50K\n36, Private,20507, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,50, United-States, >50K\n43, Private,184099, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,117816, 7th-8th,4, Divorced, Handlers-cleaners, Other-relative, White, Male,0,0,70, United-States, <=50K\n23, Private,263899, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, Haiti, <=50K\n26, Private,45869, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Private,186539, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,326310, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n55, Local-gov,84564, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,39, United-States, <=50K\n49, Private,247294, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n34, Private,72793, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K\n29, Private,261375, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,60, United-States, <=50K\n50, Private,77905, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K\n19, Private,66838, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,9, United-States, <=50K\n63, State-gov,194682, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n66, Private,180211, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,30, Philippines, <=50K\n65, ?,79272, Some-college,10, Widowed, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,6, United-States, <=50K\n60, Private,101198, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n60, Private,80574, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K\n19, Private,198663, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Self-emp-inc,160340, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n75, Self-emp-not-inc,205860, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1735,40, United-States, <=50K\n58, State-gov,69579, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n18, Self-emp-not-inc,379242, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n65, Private,113323, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,3818,0,40, United-States, <=50K\n50, Self-emp-not-inc,312477, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n26, Private,259505, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Federal-gov,171335, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n19, ?,541282, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Federal-gov,155970, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,99682, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,52, Canada, >50K\n23, Private,117789, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,296158, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Local-gov,78859, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n59, ?,188070, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, >50K\n50, Private,189811, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, State-gov,518030, Bachelors,13, Never-married, Protective-serv, Not-in-family, Black, Male,0,1590,40, Puerto-Rico, <=50K\n32, Private,360593, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,30, United-States, <=50K\n40, Private,145504, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K\n19, Private,459248, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n30, ?,288419, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Mexico, <=50K\n42, State-gov,126094, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Male,0,0,39, United-States, <=50K\n23, Private,209483, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,50, United-States, <=50K\n37, Self-emp-not-inc,32239, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,27828,0,40, United-States, >50K\n21, Private,210355, 11th,7, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,24, United-States, <=50K\n28, Private,84547, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n50, ?,260579, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n20, Private,105585, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K\n21, Private,132320, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n21, Private,129172, Some-college,10, Never-married, Other-service, Other-relative, White, Male,0,0,16, United-States, <=50K\n45, Self-emp-not-inc,222374, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-inc,201498, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n53, Self-emp-inc,251675, Some-college,10, Divorced, Sales, Not-in-family, White, Male,8614,0,50, Cuba, >50K\n41, Private,114157, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Local-gov,148121, Bachelors,13, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n73, ?,84053, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K\n34, Private,96480, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,179423, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n58, State-gov,123329, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, <=50K\n41, Private,134130, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n53, Private,188644, Preschool,1, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n40, Private,226388, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,209205, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n32, Private,209808, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1740,47, United-States, <=50K\n44, Self-emp-inc,56236, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,2202,0,45, United-States, <=50K\n18, Private,28648, 11th,7, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n37, State-gov,34996, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,281422, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,45, United-States, <=50K\n22, Private,214716, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Private,314177, 10th,6, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K\n51, Private,112310, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n63, Private,203783, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,72, United-States, <=50K\n29, Private,205499, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, <=50K\n44, Private,145441, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,48, United-States, >50K\n44, Private,155701, 7th-8th,4, Separated, Other-service, Unmarried, White, Female,0,0,38, Peru, <=50K\n37, State-gov,186934, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n62, Federal-gov,209433, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n31, Private,80933, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K\n20, Private,102607, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n48, Private,254809, 10th,6, Divorced, Machine-op-inspct, Unmarried, White, Female,0,1594,32, United-States, <=50K\n24, Self-emp-not-inc,102942, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n56, State-gov,175057, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n36, Federal-gov,68781, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K\n29, Private,108594, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,98283, Prof-school,15, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,1564,40, India, >50K\n39, Private,56269, Some-college,10, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n29, Private,152503, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,45, United-States, <=50K\n38, Self-emp-inc,206951, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K\n23, Private,82393, 9th,5, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,20, Philippines, <=50K\n37, Private,167396, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Guatemala, <=50K\n30, Self-emp-not-inc,123397, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n58, ?,147653, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,36, United-States, <=50K\n42, Private,118652, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n59, Local-gov,114401, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,1504,19, United-States, <=50K\n45, Private,186272, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,7298,0,40, United-States, >50K\n46, Private,182689, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,231016, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,4650,0,37, United-States, <=50K\n41, Self-emp-inc,60949, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n49, Private,129513, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,84306, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,117507, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n22, Private,88050, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,6, United-States, <=50K\n22, Private,305498, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,33, United-States, <=50K\n17, Private,295308, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,20, United-States, <=50K\n47, Private,114459, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,176017, 10th,6, Never-married, Other-service, Other-relative, White, Male,0,0,15, United-States, <=50K\n39, Private,248445, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n23, Private,214542, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n41, Private,384508, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Federal-gov,403489, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n52, Private,143953, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n21, Private,254904, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,30, United-States, <=50K\n33, Private,98995, 10th,6, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,36, United-States, <=50K\n17, ?,237078, 11th,7, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n41, Private,193995, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K\n19, Private,205829, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n38, Federal-gov,205852, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, >50K\n24, Private,37072, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,275338, Bachelors,13, Divorced, Sales, Unmarried, White, Female,1151,0,40, United-States, <=50K\n39, State-gov,122353, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n19, Private,100009, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n31, ?,37030, Assoc-acdm,12, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n42, Private,135056, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n36, Private,135162, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,45, ?, <=50K\n29, Private,280618, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,226717, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n47, Local-gov,173938, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,291355, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n61, Federal-gov,160155, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-not-inc,29762, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n31, ?,82473, 9th,5, Divorced, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n59, Private,172071, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,38, Jamaica, <=50K\n29, Private,166210, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,55, United-States, <=50K\n26, Private,330263, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,247043, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n56, Federal-gov,155238, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,130557, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,56986, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,18, United-States, <=50K\n29, Private,220692, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n23, Private,121650, 5th-6th,3, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,30, United-States, <=50K\n67, Private,174603, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n29, Private,341846, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n33, Private,99339, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,880,40, United-States, <=50K\n32, Private,34437, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,141058, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,62, Mexico, <=50K\n49, Private,192323, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,117674, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K\n39, Private,28572, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,120277, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,164309, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n47, Federal-gov,102771, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,147951, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,1, United-States, <=50K\n23, Private,188409, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,4508,0,25, United-States, <=50K\n44, Private,173888, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, >50K\n25, Private,247006, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n23, Private,82889, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K\n52, Private,259363, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n62, Federal-gov,159165, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,36, United-States, <=50K\n31, Private,112062, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,299050, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n22, ?,186452, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,36, United-States, <=50K\n53, Private,548580, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Guatemala, <=50K\n25, Private,234057, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,241350, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n69, Private,108196, 9th,5, Never-married, Craft-repair, Other-relative, White, Male,2993,0,40, United-States, <=50K\n49, Private,278322, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,157443, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,27, Taiwan, >50K\n44, Self-emp-not-inc,37618, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n56, Local-gov,238582, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, >50K\n37, State-gov,28887, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,77820, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n22, Private,110946, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Local-gov,230420, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,206521, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, ?,156877, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,20, United-States, <=50K\n28, Local-gov,283227, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K\n28, Private,141957, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,58337, 10th,6, Never-married, Sales, Unmarried, White, Female,0,0,35, ?, <=50K\n73, Local-gov,161027, 5th-6th,3, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,20, United-States, <=50K\n37, Self-emp-not-inc,31670, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n24, Private,205844, Bachelors,13, Never-married, Exec-managerial, Own-child, Black, Female,0,0,65, United-States, <=50K\n30, State-gov,46144, HS-grad,9, Married-AF-spouse, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K\n38, Private,168055, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,98350, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n69, ?,182668, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, >50K\n43, Private,208613, Prof-school,15, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,99999,0,40, United-States, >50K\n42, Private,334522, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n54, State-gov,187686, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n27, State-gov,365916, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,58, United-States, <=50K\n39, Private,190719, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n27, Private,218184, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K\n30, Private,222162, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,66, United-States, <=50K\n30, Private,148524, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2057,40, United-States, <=50K\n37, Private,267085, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Federal-gov,307555, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K\n36, Private,229180, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, Cuba, <=50K\n22, Private,279041, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,10, United-States, <=50K\n21, Private,312017, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,54782, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1579,42, United-States, <=50K\n76, Private,70697, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n22, ?,263970, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,28, United-States, <=50K\n37, Private,188774, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,302770, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n29, Private,183639, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,97, United-States, <=50K\n29, Private,178551, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,175343, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n73, Self-emp-not-inc,190078, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n43, Private,117627, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n39, Private,108419, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n74, Private,183701, 10th,6, Widowed, Other-service, Not-in-family, Black, Female,0,0,6, United-States, <=50K\n27, State-gov,208406, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n47, Private,148884, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n90, Private,87285, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n47, Private,199058, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n42, Private,173628, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n69, Private,370837, Bachelors,13, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, ?,179484, 12th,8, Never-married, ?, Own-child, Other, Male,0,0,40, United-States, <=50K\n23, Private,342769, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,20, United-States, <=50K\n44, Local-gov,65145, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n41, Private,150533, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,2829,0,40, United-States, <=50K\n47, Local-gov,272182, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n43, Private,403467, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,7688,0,40, United-States, >50K\n33, Private,252168, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n48, Private,80430, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n39, Private,189623, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,60, United-States, <=50K\n43, Private,115806, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,2547,40, United-States, >50K\n18, ?,28357, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n52, Private,226084, HS-grad,9, Widowed, Priv-house-serv, Other-relative, White, Female,0,0,40, United-States, <=50K\n18, Private,150817, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n27, Self-emp-inc,190911, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K\n27, Self-emp-inc,120126, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,45, United-States, >50K\n45, Local-gov,255559, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n79, ?,142370, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K\n24, Private,173679, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n25, Private,35854, Some-college,10, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,82161, 10th,6, Widowed, Transport-moving, Unmarried, White, Male,0,0,35, United-States, <=50K\n63, Self-emp-not-inc,129845, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,226505, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,46, United-States, >50K\n47, Private,151584, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K\n42, Private,136419, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n42, Private,66460, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n63, Local-gov,379940, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, Local-gov,102936, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,55, United-States, <=50K\n65, Private,205309, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,20, United-States, <=50K\n30, ?,156890, 10th,6, Divorced, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n62, Private,208711, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,50, United-States, >50K\n46, Private,137547, HS-grad,9, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n23, Private,220168, HS-grad,9, Never-married, Sales, Other-relative, Black, Female,0,0,25, Jamaica, <=50K\n47, Local-gov,37672, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, <=50K\n20, Private,196643, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n21, ?,355686, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K\n28, Private,197484, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n61, Local-gov,115023, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n30, State-gov,234824, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,72, United-States, <=50K\n30, State-gov,361497, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K\n29, Private,351871, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n39, Private,324231, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,123490, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n32, Private,188245, 11th,7, Never-married, Priv-house-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K\n63, Private,50349, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K\n19, Self-emp-not-inc,47176, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,15, United-States, <=50K\n57, State-gov,290661, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K\n41, Private,221172, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,188950, Assoc-voc,11, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,356882, Doctorate,16, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n43, Self-emp-inc,150533, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n64, Self-emp-not-inc,167149, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K\n56, Private,301835, 5th-6th,3, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,313729, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,130957, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n17, Private,197732, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K\n17, Private,250541, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n29, Private,218785, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,65, United-States, <=50K\n23, ?,232512, HS-grad,9, Separated, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Private,194630, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n39, Private,38721, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,22, United-States, <=50K\n36, Private,201519, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n50, Private,279337, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n41, ?,27187, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,2415,12, United-States, >50K\n31, Private,87560, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,50, United-States, <=50K\n71, ?,100820, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,2489,15, United-States, <=50K\n56, Private,208431, Some-college,10, Widowed, Exec-managerial, Not-in-family, Black, Female,0,0,32, United-States, <=50K\n51, Private,143822, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n20, Private,163205, Some-college,10, Separated, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n53, Private,171924, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,14344,0,55, United-States, >50K\n33, State-gov,137616, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n27, Private,156516, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,2377,20, United-States, <=50K\n40, Private,119101, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n45, Private,117556, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,32, United-States, <=50K\n54, Private,147863, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,5013,0,40, Vietnam, <=50K\n33, Self-emp-not-inc,24504, HS-grad,9, Separated, Craft-repair, Other-relative, White, Male,0,0,50, United-States, <=50K\n27, ?,157624, HS-grad,9, Separated, ?, Other-relative, White, Female,0,0,40, United-States, <=50K\n36, Private,181721, 10th,6, Never-married, Farming-fishing, Own-child, Black, Male,0,0,60, United-States, <=50K\n42, Local-gov,55363, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n33, Private,92865, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,258633, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, ?, <=50K\n52, Federal-gov,221532, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n41, Local-gov,183224, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, Taiwan, >50K\n30, Private,381153, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,300871, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,33710, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,60, United-States, >50K\n26, Private,158333, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, Columbia, <=50K\n36, Private,288103, 11th,7, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,108907, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n46, Private,358533, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K\n24, Private,126613, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,8, United-States, <=50K\n30, Private,164190, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,52, United-States, >50K\n38, Private,199816, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,98228, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K\n41, Local-gov,129060, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, Private,22245, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n36, Private,226918, Bachelors,13, Never-married, Sales, Not-in-family, Black, Male,0,0,48, United-States, <=50K\n47, Private,398652, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n59, Private,268840, Some-college,10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,16, United-States, >50K\n35, ?,103710, Bachelors,13, Divorced, ?, Unmarried, White, Female,0,0,16, ?, <=50K\n59, Private,91384, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n52, Private,174767, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n37, Self-emp-inc,126675, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n52, Private,82285, Bachelors,13, Married-spouse-absent, Other-service, Other-relative, Black, Female,0,0,40, Haiti, <=50K\n51, Private,177727, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n67, Self-emp-not-inc,345236, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n58, ?,347692, 11th,7, Divorced, ?, Not-in-family, Black, Male,0,0,15, United-States, <=50K\n68, Private,156000, 10th,6, Widowed, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K\n71, Private,228806, 9th,5, Divorced, Priv-house-serv, Not-in-family, Black, Female,0,0,6, United-States, <=50K\n49, Local-gov,184428, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,102938, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,161063, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,253752, 10th,6, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,274800, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,129804, 9th,5, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K\n22, Federal-gov,65547, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n20, Private,107658, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,10, United-States, <=50K\n57, Private,161097, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,26, United-States, <=50K\n18, Private,118376, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n32, Private,131224, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,120985, HS-grad,9, Divorced, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,215392, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,63685, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, Cambodia, <=50K\n48, Private,131826, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,211440, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K\n35, Private,31023, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n40, Private,145439, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Other, Male,4064,0,40, Mexico, <=50K\n19, Private,255161, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K\n28, Private,411950, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,275818, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,1974,40, United-States, <=50K\n18, Private,318082, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n23, Local-gov,287988, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Local-gov,138342, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,3411,0,40, El-Salvador, <=50K\n42, Federal-gov,115932, Bachelors,13, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,60358, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Private,140117, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K\n34, Private,158040, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n30, Self-emp-inc,321990, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, ?, >50K\n29, Private,232784, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,349368, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n46, Federal-gov,325573, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n69, Private,140176, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, <=50K\n50, Private,128478, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n19, ?,318264, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n59, Private,147989, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K\n45, Federal-gov,155659, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n41, State-gov,288433, Masters,14, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n47, Federal-gov,329205, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n64, Private,171373, 11th,7, Widowed, Farming-fishing, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,228860, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K\n29, Private,196116, Prof-school,15, Divorced, Prof-specialty, Own-child, White, Female,2174,0,72, United-States, <=50K\n17, Private,47771, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n24, Private,201680, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,60, United-States, <=50K\n28, Private,337378, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,246449, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,3325,0,50, United-States, <=50K\n48, Private,227714, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n36, Private,177285, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,38, United-States, <=50K\n38, Private,71701, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, Portugal, <=50K\n49, Private,30219, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1669,40, United-States, <=50K\n42, Private,280167, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Self-emp-inc,27408, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,167031, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Columbia, <=50K\n41, Private,173682, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,278557, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n32, Private,113688, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n41, Self-emp-not-inc,252986, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,33669, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n56, Private,100776, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K\n47, Self-emp-not-inc,177457, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n30, State-gov,312767, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n51, Private,43354, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n22, Self-emp-inc,375422, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, South, <=50K\n49, Self-emp-not-inc,263568, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n67, ?,74335, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,10, Germany, <=50K\n26, Private,302097, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464,0,48, United-States, <=50K\n35, Private,248010, Bachelors,13, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n37, ?,87369, 9th,5, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,405577, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, State-gov,167065, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,102476, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n28, Federal-gov,526528, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,3887,0,40, United-States, <=50K\n32, Private,175878, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n55, Private,213894, 11th,7, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n17, Private,150262, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n40, Private,75363, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,272671, Bachelors,13, Divorced, Sales, Own-child, White, Male,0,0,50, United-States, <=50K\n67, Self-emp-inc,411007, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,15831,0,40, United-States, >50K\n44, Private,222434, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,180246, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n25, Private,171236, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Private,367037, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,304651, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n62, Private,97017, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n20, Private,146879, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,2001,40, United-States, <=50K\n45, State-gov,320818, Some-college,10, Married-spouse-absent, Other-service, Other-relative, Black, Male,0,0,40, Haiti, <=50K\n47, Self-emp-not-inc,84735, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K\n49, Private,184428, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,326886, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n24, ?,169624, HS-grad,9, Divorced, ?, Unmarried, Black, Female,0,0,37, United-States, <=50K\n29, Private,212102, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n23, Private,175837, 11th,7, Never-married, Farming-fishing, Other-relative, White, Female,0,0,40, Puerto-Rico, <=50K\n50, Private,177487, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,286750, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1902,40, United-States, >50K\n44, Private,171424, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,194981, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,36, United-States, <=50K\n73, Private,199362, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n24, Private,204226, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, State-gov,72506, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K\n61, Self-emp-inc,61040, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,36, United-States, >50K\n37, Federal-gov,194630, Masters,14, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,391867, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,94080, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,289405, 11th,7, Never-married, Machine-op-inspct, Own-child, Other, Male,0,0,12, United-States, <=50K\n30, Private,170130, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,158118, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,1719,40, United-States, <=50K\n30, Private,447739, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n90, ?,39824, HS-grad,9, Widowed, ?, Not-in-family, White, Male,401,0,4, United-States, <=50K\n76, ?,312500, 5th-6th,3, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Private,223342, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,1504,35, United-States, <=50K\n65, ?,293385, Preschool,1, Married-civ-spouse, ?, Husband, Black, Male,0,0,30, United-States, <=50K\n25, Private,106377, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,66118, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Private,274883, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n27, Local-gov,123773, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n42, Local-gov,70655, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n49, Private,177426, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n37, Private,200374, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n19, State-gov,159269, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K\n24, Private,235894, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K\n34, Local-gov,97723, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,167309, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,98106, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Federal-gov,22201, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,7298,0,40, Philippines, >50K\n45, Private,108993, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,265954, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,100960, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n45, Private,170092, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n54, Private,326156, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,216932, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n69, Private,36956, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,50, United-States, >50K\n24, Private,214014, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n36, Private,99872, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n61, State-gov,151459, 10th,6, Never-married, Other-service, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n57, Self-emp-inc,161662, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K\n56, Private,367200, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n35, Private,86648, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K\n51, Local-gov,168539, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n50, Private,140741, 11th,7, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K\n25, Private,197651, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,43, United-States, <=50K\n46, Private,123053, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, Japan, >50K\n23, Private,330571, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n44, Private,204235, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n38, State-gov,346766, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, ?,257250, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,163396, Some-college,10, Never-married, Tech-support, Not-in-family, Other, Female,0,0,40, United-States, <=50K\n78, ?,135839, HS-grad,9, Widowed, ?, Not-in-family, White, Female,1086,0,20, United-States, <=50K\n18, Private,36251, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n40, Private,149102, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,2174,0,60, Poland, <=50K\n61, ?,222395, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n31, State-gov,29152, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n33, Private,79303, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,272338, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, State-gov,200497, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n19, Private,148392, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n31, Private,164243, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,40, United-States, <=50K\n43, State-gov,129298, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n49, Local-gov,174981, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,47, United-States, >50K\n48, Local-gov,328610, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,77774, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,34, United-States, <=50K\n38, State-gov,134069, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K\n35, Private,209214, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,4386,0,35, United-States, >50K\n29, Private,153805, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Other, Male,0,0,40, Ecuador, <=50K\n27, Private,168827, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,2, United-States, <=50K\n31, Private,373432, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K\n26, Private,57600, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n53, Self-emp-not-inc,302847, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n23, Private,227594, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n32, Federal-gov,44777, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,46, United-States, <=50K\n54, ?,133963, HS-grad,9, Widowed, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,279615, Bachelors,13, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,276133, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n62, Private,136314, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n41, Private,204410, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,44, United-States, >50K\n59, Self-emp-inc,223215, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n43, Private,184625, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n34, Self-emp-inc,265917, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,158647, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,22055, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n41, Local-gov,176716, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n42, Private,270721, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,32, United-States, <=50K\n24, Private,100321, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K\n35, Private,79050, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Male,0,0,72, United-States, <=50K\n40, Local-gov,42703, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n46, Private,116952, 7th-8th,4, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, <=50K\n45, Private,331643, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,207937, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1092,40, United-States, <=50K\n68, Private,223486, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,7, England, <=50K\n33, Private,340332, Bachelors,13, Separated, Exec-managerial, Not-in-family, Black, Female,0,0,45, United-States, <=50K\n23, Private,184813, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n42, Self-emp-not-inc,32185, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n30, Private,197886, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, >50K\n35, State-gov,248374, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n40, Private,382499, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n36, State-gov,108320, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,5455,0,30, United-States, <=50K\n46, Self-emp-inc,161386, 9th,5, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, United-States, <=50K\n49, Local-gov,110172, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,144032, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n26, Private,224426, Masters,14, Never-married, Exec-managerial, Own-child, White, Male,0,0,38, United-States, <=50K\n37, Private,230408, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n50, Local-gov,20795, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,174714, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n59, State-gov,398626, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Male,25236,0,45, United-States, >50K\n30, Private,149531, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,34113, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n44, Local-gov,323790, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,331381, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,160647, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, Ireland, >50K\n34, Private,339142, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n58, Private,164857, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,99, United-States, <=50K\n33, Local-gov,267859, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,167725, Bachelors,13, Married-spouse-absent, Transport-moving, Not-in-family, Other, Male,0,0,84, India, <=50K\n49, Federal-gov,586657, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n67, Self-emp-not-inc,105907, 1st-4th,2, Widowed, Other-service, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n23, Private,200677, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,193882, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,138026, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n49, Private,122385, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,49020, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n26, Private,283715, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,286406, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n36, Private,166416, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,156334, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,45607, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K\n40, Local-gov,112362, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,200419, Assoc-acdm,12, Separated, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n42, State-gov,341638, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n25, ?,34161, 12th,8, Separated, ?, Unmarried, White, Female,0,0,30, United-States, <=50K\n50, Self-emp-not-inc,127151, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, Canada, >50K\n52, Private,321959, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, >50K\n51, Local-gov,35211, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n19, Private,214935, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,132130, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,222247, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,165799, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n30, Private,257874, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n38, Private,357173, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, State-gov,305739, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,172047, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,110677, Some-college,10, Separated, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n21, ?,405684, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,35, Mexico, <=50K\n60, Private,82388, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, <=50K\n45, Private,289230, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,48, United-States, >50K\n26, Private,101812, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,5721,0,40, United-States, <=50K\n49, State-gov,336509, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,383402, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n47, Private,328216, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, United-States, >50K\n40, Private,280362, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n34, Private,212064, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,7443,0,35, United-States, <=50K\n42, Private,173704, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,433375, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Mexico, <=50K\n63, Self-emp-not-inc,106551, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,22418, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,54816, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,358199, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n43, Private,190044, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,97698, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,32, United-States, <=50K\n56, Private,53366, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,236136, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n44, Private,326232, 7th-8th,4, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K\n34, Private,581071, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, >50K\n40, Private,220589, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Federal-gov,161463, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n44, Private,95255, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Federal-gov,223267, Some-college,10, Divorced, Protective-serv, Own-child, White, Male,0,0,72, United-States, <=50K\n22, Private,236769, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, England, <=50K\n58, Self-emp-inc,229498, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,20, United-States, >50K\n43, Private,177083, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,30, United-States, <=50K\n23, Private,287681, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, Columbia, <=50K\n41, Private,49797, Some-college,10, Separated, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n44, Private,174051, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n32, Private,194901, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,252250, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, >50K\n47, Private,191277, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,174907, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n39, Private,167140, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,236543, 12th,8, Divorced, Protective-serv, Own-child, White, Male,0,0,54, Mexico, <=50K\n40, Private,214242, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,216864, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,3770,45, United-States, <=50K\n34, Private,245211, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,2036,0,30, United-States, <=50K\n57, Private,437727, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K\n71, Private,200418, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n45, Local-gov,167334, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n54, Private,146834, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n26, Private,78424, Assoc-voc,11, Never-married, Sales, Unmarried, White, Female,0,0,54, United-States, <=50K\n37, Private,182675, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K\n28, Self-emp-not-inc,38079, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n42, Private,115178, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,15, United-States, <=50K\n45, Private,195949, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,167415, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n57, Private,223214, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,22245, Bachelors,13, Married-civ-spouse, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n45, State-gov,81853, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, United-States, >50K\n30, Private,147921, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,46, United-States, <=50K\n27, Private,29261, HS-grad,9, Married-AF-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,257758, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n44, State-gov,136546, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n38, Private,205493, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, United-States, >50K\n19, Private,71650, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,150217, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K\n55, Self-emp-inc,258648, 10th,6, Widowed, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Private,114798, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n43, Private,186188, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Local-gov,175255, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K\n45, Private,249935, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n44, Private,120277, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K\n26, Private,193165, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,52, United-States, >50K\n32, Private,185027, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, Ireland, >50K\n21, Private,221418, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Federal-gov,56063, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,153927, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, State-gov,163110, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n40, Self-emp-inc,175696, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,51, United-States, <=50K\n46, Private,143189, 5th-6th,3, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, Dominican-Republic, <=50K\n20, ?,114969, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n54, State-gov,32778, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,150683, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,78104, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,335005, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,3137,0,40, United-States, <=50K\n50, Local-gov,311551, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n42, Self-emp-not-inc,201520, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,124111, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n60, Private,166386, 11th,7, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,30, Hong, <=50K\n43, State-gov,117471, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,361307, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,142038, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,45, United-States, <=50K\n35, Private,276552, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,50402, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,174090, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n27, Private,277760, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,24243, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1590,40, United-States, <=50K\n44, Self-emp-inc,151089, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,70, United-States, >50K\n52, Self-emp-not-inc,165278, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,22, United-States, <=50K\n49, Private,182752, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n31, Private,173002, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Private,261232, 11th,7, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,164607, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,129573, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n51, Federal-gov,36186, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,325744, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,329793, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n46, Private,133616, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Private,83401, 5th-6th,3, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n76, Private,239880, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K\n25, Private,201737, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Private,192182, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K\n33, Private,143540, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,28334, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,245873, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n42, Local-gov,199095, Assoc-voc,11, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n53, Private,104461, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,8614,0,50, Italy, >50K\n33, Local-gov,183923, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,35, United-States, >50K\n30, Private,129707, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,35, United-States, >50K\n41, Local-gov,575442, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, State-gov,184682, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,69251, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n31, Private,225507, Assoc-voc,11, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,167515, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n35, Private,407068, 1st-4th,2, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n40, Private,170019, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, ?, <=50K\n46, Local-gov,125892, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n43, Local-gov,35824, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n35, Private,67083, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n23, Private,107801, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n50, Self-emp-not-inc,95577, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,12, ?, <=50K\n43, Private,118536, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, Black, Male,0,0,40, United-States, <=50K\n61, Private,198078, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,78261, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K\n21, Private,234108, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,241998, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1672,50, United-States, <=50K\n40, Private,92717, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,257683, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n90, Private,40388, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K\n24, Private,55424, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,169600, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,2176,0,12, United-States, <=50K\n40, Local-gov,319271, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n37, Self-emp-not-inc,75050, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n31, Private,182896, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,188274, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,211497, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,113806, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, ?, >50K\n47, Local-gov,172246, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n48, Local-gov,219962, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, ?,186815, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n26, ?,132749, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,80, United-States, <=50K\n28, Private,209801, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n20, State-gov,178517, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,169364, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, Ireland, <=50K\n32, Federal-gov,164707, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n55, Private,144084, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,133692, Bachelors,13, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,184169, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,35, United-States, >50K\n45, Self-emp-inc,145290, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n65, Local-gov,24824, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,178319, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n22, Private,235829, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n22, ?,196280, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n42, Self-emp-not-inc,54202, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,220237, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K\n24, Private,59146, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n67, Private,64148, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,41, United-States, <=50K\n28, Private,196621, HS-grad,9, Married-spouse-absent, Tech-support, Not-in-family, White, Female,0,0,37, United-States, <=50K\n56, Private,195668, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, Cuba, >50K\n31, State-gov,263000, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, <=50K\n33, Private,554986, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, ?,108211, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,217654, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Germany, >50K\n53, Private,139671, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n47, Private,102771, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Portugal, <=50K\n40, Private,213019, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n35, Private,228493, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,48, United-States, <=50K\n65, Self-emp-not-inc,22907, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,24364, Some-college,10, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,30, United-States, <=50K\n23, Federal-gov,41432, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K\n39, Private,235259, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,343476, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n37, Private,326886, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,248313, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,30290, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,188540, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n39, Private,237943, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K\n25, Private,198870, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Male,0,0,35, United-States, <=50K\n30, Private,233980, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,171090, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,48, United-States, <=50K\n22, Private,353039, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,0,0,36, Mexico, <=50K\n46, Federal-gov,213140, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n54, Private,188136, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,1408,38, United-States, <=50K\n33, Private,130057, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n70, State-gov,345339, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,182074, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n53, Local-gov,176557, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n55, State-gov,71630, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,1617,40, United-States, <=50K\n17, Private,159849, 11th,7, Never-married, Protective-serv, Own-child, White, Female,0,0,30, United-States, <=50K\n36, Private,183425, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,125933, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K\n40, Local-gov,180123, HS-grad,9, Married-spouse-absent, Farming-fishing, Own-child, Black, Male,0,0,40, United-States, <=50K\n36, Private,592930, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, >50K\n28, Private,183802, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n39, Private,77005, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K\n49, Private,80914, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n63, Self-emp-inc,165667, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,123991, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,20, United-States, <=50K\n48, Self-emp-inc,181307, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n55, Private,124137, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Poland, <=50K\n18, ?,137363, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,4, United-States, <=50K\n20, Private,291979, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,20, United-States, <=50K\n49, Private,91251, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n27, Federal-gov,148153, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n37, Private,131463, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,33, United-States, <=50K\n32, State-gov,127651, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-inc,239018, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n47, Private,276087, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,26, United-States, <=50K\n34, Private,386877, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n61, Private,210464, HS-grad,9, Divorced, Adm-clerical, Other-relative, Black, Female,0,0,35, United-States, <=50K\n25, Private,632834, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n26, Private,245465, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n18, Private,198087, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n35, Private,27408, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,242713, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, ?, <=50K\n56, Private,314727, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K\n40, State-gov,269733, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,177287, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K\n66, Private,167711, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, >50K\n42, Private,112181, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n28, Private,339002, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K\n39, State-gov,24721, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n65, Self-emp-not-inc,37092, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K\n20, Private,216563, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n52, Private,204447, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,40, United-States, >50K\n24, ?,151153, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,99999,0,50, South, >50K\n39, Private,187089, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,423052, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,30, United-States, <=50K\n49, Private,169180, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Hong, <=50K\n21, Private,104981, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,48, United-States, <=50K\n35, ?,120074, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n38, Private,269323, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,141549, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,214858, 10th,6, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,55, United-States, <=50K\n34, Private,173524, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n54, Local-gov,365049, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n38, Private,60355, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,86808, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n33, State-gov,174171, Some-college,10, Separated, Tech-support, Not-in-family, White, Male,0,0,12, United-States, <=50K\n32, Federal-gov,504951, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,294064, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, France, <=50K\n46, Private,120131, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, >50K\n48, Private,199058, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,152328, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Federal-gov,88564, 7th-8th,4, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n67, Private,95113, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,37, United-States, >50K\n36, Private,247558, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,60, ?, >50K\n25, Private,178421, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n43, Private,484861, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,38, United-States, <=50K\n27, Local-gov,225291, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Private,205735, 1st-4th,2, Separated, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,58898, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,48, United-States, <=50K\n39, Private,355468, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1887,46, United-States, >50K\n60, Self-emp-not-inc,184362, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,25, United-States, <=50K\n27, Private,347513, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,138768, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,29810, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,126501, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,60783, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,15, United-States, <=50K\n26, Private,179772, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n45, Self-emp-inc,281911, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n33, Private,70447, HS-grad,9, Never-married, Transport-moving, Other-relative, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n55, ?,449576, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,48, Mexico, <=50K\n29, Private,327964, 9th,5, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n72, Private,496538, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,6360,0,40, United-States, <=50K\n35, Self-emp-not-inc,153066, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n53, State-gov,77651, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,119493, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,256240, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n69, Private,177374, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,1848,0,12, United-States, <=50K\n41, Local-gov,37848, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n45, Private,129336, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,183511, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-inc,120131, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K\n55, Private,190508, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,35, United-States, <=50K\n31, Private,363130, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n45, Private,240356, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,55, United-States, <=50K\n64, Private,133166, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,5, United-States, <=50K\n38, Private,32916, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n17, Private,117477, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,34748, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1887,20, United-States, >50K\n22, Private,459463, 12th,8, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,50, United-States, <=50K\n23, Private,95989, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n25, Private,118088, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n33, Private,150570, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,43, United-States, >50K\n31, ?,505438, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,30, Mexico, <=50K\n37, Private,179731, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n53, Private,122109, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,1876,38, United-States, <=50K\n28, Local-gov,163942, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,106670, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n41, Private,123403, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n61, Self-emp-inc,119986, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,66622, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n20, ?,40060, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,56, United-States, <=50K\n35, Private,260578, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K\n64, Local-gov,96076, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,70604, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K\n39, Self-emp-not-inc,230329, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,1564,12, United-States, >50K\n53, Private,49715, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n28, Private,116531, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Federal-gov,214542, Some-college,10, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K\n25, Local-gov,335005, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, Italy, <=50K\n19, Private,258633, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n20, Private,203240, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n27, Private,104457, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n55, Local-gov,99131, HS-grad,9, Married-civ-spouse, Prof-specialty, Other-relative, White, Female,0,2246,40, United-States, >50K\n52, State-gov,125796, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,1848,40, United-States, >50K\n21, ?,479482, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Private,167790, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Private,133758, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,1974,40, United-States, <=50K\n22, Private,106843, 10th,6, Never-married, Craft-repair, Other-relative, White, Male,0,0,30, United-States, <=50K\n24, Private,117959, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,4386,0,40, United-States, >50K\n26, Private,174921, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,134152, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n57, Private,99364, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n18, Local-gov,155905, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,60, United-States, <=50K\n30, Private,467108, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n34, Self-emp-not-inc,304622, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n40, Private,198692, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,60, United-States, >50K\n60, Private,178050, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K\n25, Private,162687, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,113151, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n48, Private,158924, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n27, Self-emp-not-inc,141795, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K\n33, Self-emp-not-inc,33404, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, >50K\n65, Self-emp-inc,178771, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,168553, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,40, United-States, >50K\n27, Private,110648, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,151053, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,142871, Some-college,10, Separated, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K\n18, ?,343161, 11th,7, Never-married, ?, Own-child, White, Male,0,0,16, United-States, <=50K\n27, Private,183523, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n57, Self-emp-not-inc,222216, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, United-States, <=50K\n44, Private,121874, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,55, United-States, >50K\n30, Private,467108, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K\n26, Private,34393, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Federal-gov,42003, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n61, Private,180418, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n49, Self-emp-not-inc,199590, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Mexico, <=50K\n33, Private,144949, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n50, Private,155594, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n53, Self-emp-not-inc,162576, 7th-8th,4, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,99, United-States, <=50K\n33, Private,232475, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,269474, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K\n45, Local-gov,140644, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K\n26, ?,39640, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,60, United-States, <=50K\n50, ?,346014, 7th-8th,4, Separated, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n47, Self-emp-not-inc,159726, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n52, Federal-gov,290856, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,217886, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,36, United-States, <=50K\n21, ?,199915, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n58, Private,106546, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,2174,0,40, United-States, <=50K\n50, Local-gov,220640, Masters,14, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0,0,50, United-States, >50K\n33, Federal-gov,88913, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,288486, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,227411, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n37, Local-gov,99935, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,50, United-States, >50K\n57, Private,201112, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,123778, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n21, Private,204596, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,8, United-States, <=50K\n40, Private,190290, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,196674, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,108435, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,20, United-States, <=50K\n38, Private,186359, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,137076, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n22, State-gov,262819, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,171655, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K\n42, Private,183319, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, El-Salvador, <=50K\n36, Private,127306, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,47, United-States, <=50K\n22, Private,68678, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K\n40, State-gov,140108, 9th,5, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n26, Private,263444, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n46, State-gov,265554, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n28, Private,410216, 11th,7, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, >50K\n46, State-gov,20534, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n55, Private,188917, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n76, Private,98695, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n27, Private,411950, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n50, Private,237819, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n75, Private,187424, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n42, Federal-gov,198316, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Local-gov,139703, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n51, Private,152596, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,194726, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,55, United-States, >50K\n44, Private,82601, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n20, ?,229843, Some-college,10, Never-married, ?, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n60, Private,122276, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Italy, <=50K\n47, State-gov,188386, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n73, Private,92298, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,15, United-States, <=50K\n27, Private,390657, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n50, Private,89041, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,50, United-States, >50K\n35, Private,314897, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n31, Private,166343, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,50, ?, <=50K\n45, Private,88781, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, >50K\n57, Private,41762, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, South, >50K\n34, Private,849857, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Nicaragua, <=50K\n19, Private,307496, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n25, Private,324372, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n39, Private,99270, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, Germany, >50K\n28, Private,160731, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, >50K\n48, State-gov,148306, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,259019, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n53, Private,224894, 5th-6th,3, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0,0,10, Haiti, <=50K\n19, Private,258470, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,197919, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,60, United-States, <=50K\n23, Private,213719, Assoc-acdm,12, Never-married, Sales, Own-child, Black, Female,0,0,36, United-States, <=50K\n32, Private,226535, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,146042, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n21, Private,180339, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Female,0,1602,30, United-States, <=50K\n24, Private,99970, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,300687, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Local-gov,219906, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,25, United-States, >50K\n24, Private,122234, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,20, ?, <=50K\n55, Private,158641, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,239539, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n46, Local-gov,102308, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,186934, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,234447, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n35, Private,125933, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n29, Private,142760, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n41, State-gov,309056, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n40, Self-emp-not-inc,48859, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K\n30, Private,110594, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n72, Private,426562, 11th,7, Divorced, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n17, Private,169037, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-inc,123075, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,70, United-States, <=50K\n38, Private,195744, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K\n36, Private,81896, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n24, Self-emp-not-inc,172047, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,253814, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n28, Private,66473, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n60, ?,56248, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,1485,70, United-States, >50K\n42, Local-gov,271521, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Other, Male,0,0,40, United-States, >50K\n48, Private,265295, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Self-emp-not-inc,174308, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,196342, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n55, Private,223594, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,7688,0,40, Puerto-Rico, >50K\n30, Private,149787, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n68, Private,124686, 7th-8th,4, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,10, United-States, <=50K\n45, Private,50163, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n26, Private,175789, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,218215, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,166371, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,169469, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n52, Private,145081, 7th-8th,4, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n68, Private,214521, Prof-school,15, Widowed, Prof-specialty, Unmarried, White, Female,0,0,16, United-States, <=50K\n26, Local-gov,287233, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, >50K\n52, Private,201310, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, ?, <=50K\n46, Self-emp-not-inc,197836, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1672,50, United-States, <=50K\n53, Private,158294, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n17, Private,127366, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K\n29, Private,203697, Bachelors,13, Married-civ-spouse, Prof-specialty, Own-child, White, Male,0,0,75, United-States, <=50K\n41, Private,168730, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n45, Private,165232, Some-college,10, Divorced, Tech-support, Not-in-family, Black, Female,0,0,40, Trinadad&Tobago, <=50K\n57, Private,175942, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n30, Federal-gov,356689, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, Japan, <=50K\n46, Private,132912, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n45, Private,187226, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n59, ?,254765, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,202565, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, <=50K\n38, State-gov,103925, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,2036,0,20, United-States, <=50K\n22, Private,112164, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, ?, <=50K\n59, Self-emp-not-inc,70623, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,85, United-States, <=50K\n36, Private,102729, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,558944, 7th-8th,4, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,256967, 10th,6, Never-married, Sales, Other-relative, Black, Female,0,0,40, United-States, <=50K\n62, ?,144583, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n63, Private,102412, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,159788, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,80, United-States, <=50K\n27, Private,55743, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,45, United-States, >50K\n47, State-gov,148171, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Male,0,0,50, France, >50K\n20, Local-gov,271354, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Private,98524, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n29, Private,272913, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, Mexico, <=50K\n22, Private,324445, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,155469, Assoc-acdm,12, Widowed, Tech-support, Unmarried, White, Female,0,0,24, United-States, <=50K\n36, Private,102945, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Private,291904, 10th,6, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n41, Federal-gov,186601, HS-grad,9, Separated, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n43, Private,172401, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,193285, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n34, Private,176244, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n32, Private,117779, HS-grad,9, Never-married, Transport-moving, Own-child, White, Female,0,0,35, United-States, <=50K\n22, ?,34616, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n52, Private,169182, 9th,5, Widowed, Other-service, Not-in-family, White, Female,0,0,25, Puerto-Rico, <=50K\n27, Private,180758, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Local-gov,141637, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-not-inc,169023, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,40, United-States, >50K\n34, Self-emp-not-inc,101266, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,62, United-States, <=50K\n30, Private,164190, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,142282, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n39, Federal-gov,103984, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n64, Private,187601, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Self-emp-not-inc,36218, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n29, State-gov,106334, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, ?, <=50K\n37, Local-gov,249392, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n43, Self-emp-not-inc,110355, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n30, Self-emp-not-inc,117944, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K\n17, Private,163836, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K\n29, Private,145592, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n24, Private,108495, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, India, <=50K\n27, Self-emp-not-inc,212041, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n69, Self-emp-inc,182451, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,124020, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,199116, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n17, ?,144114, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n61, Private,107438, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,1651,40, United-States, <=50K\n70, Private,405362, 7th-8th,4, Widowed, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K\n32, Private,175856, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,1902,40, United-States, >50K\n21, ?,262241, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,420054, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,9562,0,50, United-States, >50K\n27, Private,86681, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,187161, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n44, State-gov,691903, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,60, United-States, >50K\n36, Private,219483, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,199058, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n29, Private,192010, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, Poland, <=50K\n34, Federal-gov,419691, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,54, United-States, >50K\n28, Local-gov,356089, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Male,0,0,50, United-States, <=50K\n34, Private,684015, 5th-6th,3, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, El-Salvador, <=50K\n18, Private,36882, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n39, Private,203180, Some-college,10, Divorced, Farming-fishing, Unmarried, White, Female,0,0,45, United-States, <=50K\n34, Private,183811, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,103966, Masters,14, Divorced, Adm-clerical, Unmarried, White, Female,0,0,41, United-States, <=50K\n24, Private,304602, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,57233, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K\n50, State-gov,289207, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,45, United-States, >50K\n68, Private,224019, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K\n35, Private,267966, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K\n47, Private,214800, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,241528, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,197365, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,296724, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,17, United-States, <=50K\n26, Private,136226, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,40623, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,264874, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,112847, HS-grad,9, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n18, ?,236090, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,89028, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n71, State-gov,210673, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,28, United-States, <=50K\n55, Private,60193, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,216137, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K\n36, Private,139743, Some-college,10, Widowed, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n25, ?,32276, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,423605, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1848,40, Nicaragua, >50K\n27, Private,298871, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n42, Private,318255, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,347867, HS-grad,9, Married-spouse-absent, Sales, Not-in-family, White, Male,0,1719,40, United-States, <=50K\n57, Private,279636, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n34, Private,405386, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,28, United-States, <=50K\n31, Private,297188, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n24, Private,182342, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,229148, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,60, Jamaica, <=50K\n30, Private,189620, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,6849,0,40, England, <=50K\n17, Private,413557, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,32, United-States, <=50K\n26, Self-emp-inc,246025, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,20, Honduras, <=50K\n32, Private,390997, 1st-4th,2, Never-married, Farming-fishing, Not-in-family, Other, Male,0,0,50, Mexico, <=50K\n55, Private,102058, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n19, Private,247298, 12th,8, Married-spouse-absent, Other-service, Own-child, Other, Female,0,0,20, United-States, <=50K\n28, Private,140108, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n55, ?,216941, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,2885,0,40, United-States, <=50K\n49, Private,81654, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,177526, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,64631, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,110028, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,203761, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,163870, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n59, Federal-gov,117299, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K\n20, Private,50648, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n21, Private,166517, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n28, ?,173800, Bachelors,13, Married-spouse-absent, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,10, Taiwan, <=50K\n44, Self-emp-inc,181762, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n31, Self-emp-not-inc,340880, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n50, Self-emp-not-inc,114758, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,4416,0,45, United-States, <=50K\n54, Private,138847, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,215014, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,183778, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,273629, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Self-emp-inc,113870, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,213955, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,2001,40, United-States, <=50K\n29, Private,114982, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,205338, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,57924, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688,0,50, United-States, >50K\n90, ?,225063, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,10, South, <=50K\n35, Self-emp-not-inc,202027, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K\n20, Private,281356, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,0,40, United-States, <=50K\n42, Private,30824, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,2354,0,16, United-States, <=50K\n56, Private,98809, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,5013,0,45, United-States, <=50K\n31, Private,38223, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K\n23, Private,172232, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,50, United-States, <=50K\n60, Private,140544, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,221366, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,180799, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n36, Private,111499, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,14084,0,40, United-States, >50K\n44, Self-emp-not-inc,155930, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,201122, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n27, Private,101709, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n49, Private,140121, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K\n48, Private,172709, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n47, Private,120131, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,117444, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n27, Private,256764, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Local-gov,176185, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4064,0,40, ?, <=50K\n24, Private,223811, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,201603, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n25, Private,138765, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,133974, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Federal-gov,137953, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n57, Private,103403, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,461678, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n41, State-gov,70884, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n56, State-gov,466498, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, United-States, >50K\n19, Private,148644, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n44, Private,190739, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,32, United-States, <=50K\n34, Private,299507, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,211424, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n27, State-gov,106721, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,192017, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Private,530099, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,55, United-States, >50K\n34, Private,119153, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,202450, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K\n21, Private,50341, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n24, Private,140001, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Italy, <=50K\n19, ?,220517, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K\n82, ?,52921, Some-college,10, Widowed, ?, Not-in-family, Amer-Indian-Eskimo, Male,0,0,3, United-States, <=50K\n35, Private,31964, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n32, Private,148207, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,151627, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n30, Private,402539, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,188278, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n28, Self-emp-not-inc,96219, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,5, United-States, <=50K\n29, Private,340534, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K\n60, Private,160339, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Columbia, <=50K\n28, Private,120135, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Federal-gov,303817, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n31, Private,181091, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,200515, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, >50K\n42, Private,160893, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,23, United-States, <=50K\n40, Local-gov,183096, 9th,5, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Yugoslavia, >50K\n24, Private,241367, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-inc,342084, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n36, Private,193855, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,80410, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,554317, 9th,5, Married-spouse-absent, Other-service, Other-relative, White, Male,0,0,35, Mexico, <=50K\n46, Private,85109, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1628,40, United-States, <=50K\n28, Private,108569, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, <=50K\n34, Private,120959, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,222011, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,43, United-States, <=50K\n43, Private,238530, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,48404, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n60, Private,88055, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,3781,0,16, United-States, <=50K\n33, Private,238381, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,8614,0,40, United-States, >50K\n22, Private,243923, HS-grad,9, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0,0,80, United-States, <=50K\n39, Private,305597, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,141841, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,5178,0,40, United-States, >50K\n39, Private,129764, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,150993, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n63, Self-emp-not-inc,147140, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n46, State-gov,30219, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,38, United-States, >50K\n48, Private,167967, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,133278, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n65, Private,172510, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Female,1848,0,20, Hungary, <=50K\n39, Private,192251, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, >50K\n43, Private,210844, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, >50K\n28, Private,263015, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,155118, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,99999,0,35, United-States, >50K\n24, State-gov,232918, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n48, Private,143542, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,45607, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n62, Private,29828, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,104118, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Private,191446, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K\n50, Private,27484, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n40, Private,205987, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, Cuba, <=50K\n39, Local-gov,143385, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, ?,200508, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,186995, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,54159, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K\n39, Private,113481, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n30, Local-gov,235271, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,349365, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,65, United-States, <=50K\n18, Private,283637, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,70282, Assoc-acdm,12, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n26, Private,166051, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Private,193720, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K\n35, ?,124836, Some-college,10, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,36, United-States, <=50K\n33, Private,236379, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n46, Private,122026, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K\n40, Private,114537, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,191834, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n29, Private,420054, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,160045, Some-college,10, Widowed, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n34, Private,303187, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K\n45, Private,190088, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n53, Private,126977, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n52, Self-emp-not-inc,63004, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n64, Private,391121, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,211450, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n44, Private,156413, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,44, United-States, >50K\n41, Private,116797, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, United-States, >50K\n53, Local-gov,204447, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K\n25, Private,66935, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n20, Private,344278, 11th,7, Separated, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,108574, Assoc-voc,11, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, United-States, <=50K\n56, Private,244605, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,363677, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,30, United-States, >50K\n56, Private,219762, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,35, United-States, <=50K\n38, Self-emp-inc,269318, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n62, Private,77884, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n28, Self-emp-not-inc,70100, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n31, Private,213643, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3908,0,40, United-States, <=50K\n24, Private,69640, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n65, Private,170012, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,34, United-States, <=50K\n40, Private,329924, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n31, Private,193285, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,261241, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,1741,60, United-States, <=50K\n42, Federal-gov,108183, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1902,40, South, >50K\n20, Private,296618, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n30, Local-gov,257796, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,155320, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K\n22, Private,151888, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n65, ?,143118, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,2206,10, United-States, <=50K\n31, Private,66278, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,3908,0,40, United-States, <=50K\n56, Private,92444, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, >50K\n51, Private,229272, HS-grad,9, Divorced, Other-service, Other-relative, Black, Male,0,0,32, Haiti, <=50K\n36, Self-emp-not-inc,207202, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n44, State-gov,154176, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,1590,40, United-States, <=50K\n49, Private,180899, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,1755,45, United-States, >50K\n28, Private,205337, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,180779, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n33, Self-emp-not-inc,343021, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K\n49, Private,176814, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,40, United-States, >50K\n74, State-gov,88638, Doctorate,16, Never-married, Prof-specialty, Other-relative, White, Female,0,3683,20, United-States, >50K\n48, Private,248059, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,45, United-States, <=50K\n38, Private,409604, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n39, Private,185053, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,332884, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,65, United-States, >50K\n56, Private,212864, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,66473, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,285169, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Private,175431, 9th,5, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n18, ?,152641, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,339346, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n39, Private,287306, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,70604, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,3464,0,40, United-States, <=50K\n21, Private,88926, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K\n36, Private,91275, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n56, Private,244554, 10th,6, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Private,232586, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-inc,127678, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, <=50K\n44, Private,162184, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Private,408229, 1st-4th,2, Never-married, Other-service, Not-in-family, White, Male,0,0,45, El-Salvador, <=50K\n43, State-gov,139734, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n62, Private,197286, 12th,8, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, Germany, <=50K\n52, Private,229983, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,3103,0,30, United-States, >50K\n25, Private,252803, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n63, Self-emp-inc,110890, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, >50K\n51, Private,160724, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,99, South, <=50K\n25, Private,89625, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n62, ?,266037, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,126730, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Federal-gov,96854, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n32, Private,186788, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,28996, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n30, Self-emp-not-inc,347166, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, State-gov,110311, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,310850, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,220694, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K\n61, Private,149405, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n70, Self-emp-inc,131699, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K\n55, Private,49996, 11th,7, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n35, Private,187112, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K\n36, Private,180859, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K\n29, Private,185647, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,60, United-States, <=50K\n30, Private,316606, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n45, Private,274657, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n39, Federal-gov,193583, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,5455,0,60, United-States, <=50K\n18, Private,338836, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n28, Private,216814, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,106935, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n38, Private,223433, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,174789, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,135603, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n25, ?,344719, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,4, United-States, <=50K\n38, Private,372484, 11th,7, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n23, Private,181820, Some-college,10, Never-married, Farming-fishing, Unmarried, White, Male,0,0,45, United-States, <=50K\n40, Private,235371, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-inc,216711, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, ?, >50K\n20, Private,299399, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Private,202508, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n44, Private,172025, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n49, Self-emp-inc,246891, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,450920, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n26, Private,53598, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,103757, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,76017, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n28, Self-emp-inc,80158, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Federal-gov,90881, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Male,8614,0,55, United-States, >50K\n44, Private,427952, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n20, ?,230955, 12th,8, Never-married, ?, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n53, Private,177916, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n36, Private,342642, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,15, United-States, <=50K\n77, Private,253642, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,30, United-States, <=50K\n21, Private,219086, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n24, Private,162593, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n30, Private,87561, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Local-gov,142411, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n22, Private,154422, Some-college,10, Divorced, Sales, Own-child, Asian-Pac-Islander, Female,0,0,30, Philippines, <=50K\n23, Private,169104, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,25, United-States, <=50K\n47, Private,193047, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n17, Private,151141, 12th,8, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n48, Private,267912, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,50, Mexico, >50K\n43, Private,137126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,152453, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Guatemala, <=50K\n19, Private,357059, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n42, State-gov,202011, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,98283, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,176965, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n63, Private,187919, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n65, Private,274916, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,105813, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n41, Local-gov,193524, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,152734, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, ?, <=50K\n21, Private,263641, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n48, Local-gov,102076, Bachelors,13, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n51, State-gov,155594, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K\n43, Private,33331, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n22, State-gov,156773, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,15, ?, <=50K\n56, Self-emp-not-inc,115439, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n47, Private,181652, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,120268, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,24, United-States, <=50K\n39, Private,196308, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,24, United-States, <=50K\n45, Self-emp-not-inc,40690, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,75, United-States, <=50K\n49, Private,228583, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,40, Columbia, <=50K\n23, Private,695136, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n69, Private,209236, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,36, United-States, <=50K\n41, Federal-gov,214838, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n40, Self-emp-not-inc,188436, HS-grad,9, Separated, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K\n25, Private,177625, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Private,124591, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n28, Private,230856, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Female,3325,0,50, United-States, <=50K\n50, Federal-gov,221532, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,232577, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,30, United-States, <=50K\n48, Private,168216, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,214702, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K\n63, Private,237620, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n47, State-gov,54887, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, Self-emp-not-inc,164526, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,14084,0,45, United-States, >50K\n28, Private,224506, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, ?, <=50K\n58, Private,183870, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,208330, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,51, United-States, <=50K\n67, Self-emp-inc,168370, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,320376, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,48, United-States, <=50K\n28, Private,192384, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,167350, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,103538, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K\n29, Private,58522, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,191342, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n25, Private,193820, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K\n20, Private,258490, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n21, Private,56520, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,102476, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n44, Self-emp-inc,311357, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,166497, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, United-States, <=50K\n50, Private,160724, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7298,0,40, Philippines, >50K\n29, Private,338270, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, Private,282394, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,21, United-States, <=50K\n32, Private,383269, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n58, Private,119386, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n50, Private,196975, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,334221, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,18, United-States, <=50K\n58, Private,27385, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n29, State-gov,133846, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,361888, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n21, Private,230429, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n49, Private,328776, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, Private,243829, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n39, Private,306646, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,3103,0,50, United-States, >50K\n50, Private,138179, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n30, Private,280069, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K\n55, Private,305759, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, ?, <=50K\n64, Local-gov,164876, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,20, United-States, <=50K\n29, Self-emp-inc,138597, Assoc-acdm,12, Never-married, Prof-specialty, Other-relative, Black, Female,0,0,40, United-States, <=50K\n40, Private,111483, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n42, Private,144778, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n55, Private,171015, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,112494, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n28, Private,408473, 12th,8, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n46, State-gov,27802, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, >50K\n34, Private,236318, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n47, Private,121836, Masters,14, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,38, United-States, >50K\n43, Self-emp-not-inc,315971, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,698418, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,25, United-States, <=50K\n21, Private,329530, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n65, Private,194456, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, England, >50K\n20, Private,282579, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, State-gov,26401, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n38, State-gov,364958, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,3464,0,40, United-States, <=50K\n22, Private,83998, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,94364, Some-college,10, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,20, United-States, <=50K\n44, Private,174189, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n44, Local-gov,101967, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n41, Private,146908, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n38, Private,126675, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,2205,40, United-States, <=50K\n21, Private,31606, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, Germany, <=50K\n24, Private,132327, Some-college,10, Married-spouse-absent, Sales, Unmarried, Other, Female,0,0,30, Ecuador, <=50K\n24, Private,112459, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n28, Private,48894, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,181943, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n48, Private,247685, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n24, Local-gov,195808, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,172052, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,35, South, >50K\n50, Local-gov,50178, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,55, United-States, <=50K\n68, Private,351711, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n31, State-gov,190305, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n22, Private,464103, 1st-4th,2, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n18, ?,36348, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,48, United-States, <=50K\n25, Private,120238, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Poland, <=50K\n28, Private,354095, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Local-gov,308901, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n24, State-gov,208826, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,99, England, <=50K\n20, Private,369677, 10th,6, Separated, Sales, Not-in-family, White, Female,0,0,36, United-States, <=50K\n45, Federal-gov,98524, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,239723, Some-college,10, Married-spouse-absent, Craft-repair, Unmarried, White, Female,1506,0,45, United-States, <=50K\n57, Private,231232, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,236396, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,55, United-States, >50K\n24, ?,119156, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,320451, Some-college,10, Never-married, Protective-serv, Own-child, Asian-Pac-Islander, Male,0,0,24, India, <=50K\n41, Private,38397, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Self-emp-inc,189183, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,199281, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n52, Private,286342, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,38, United-States, <=50K\n50, Private,152810, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n26, Self-emp-inc,176981, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,50, United-States, <=50K\n17, Private,117549, 10th,6, Never-married, Sales, Other-relative, Black, Female,0,0,12, United-States, <=50K\n64, Private,254797, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,133336, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n28, Self-emp-not-inc,182826, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n51, Private,136224, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,134475, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,1762,40, United-States, <=50K\n48, Private,272778, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n44, Private,279183, Some-college,10, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,40, United-States, >50K\n47, Private,110243, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,202071, HS-grad,9, Widowed, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K\n58, Private,197642, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,39, United-States, <=50K\n19, Private,125591, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,197462, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,238831, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,182177, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Yugoslavia, <=50K\n40, Local-gov,240504, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n48, Self-emp-inc,125892, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,38, United-States, >50K\n46, Private,154430, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n32, Private,207685, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female,3908,0,40, United-States, <=50K\n50, Private,222020, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,243240, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,37, United-States, <=50K\n26, Private,158734, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K\n36, Private,257691, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n26, Private,144483, Assoc-voc,11, Divorced, Sales, Own-child, White, Female,594,0,35, United-States, <=50K\n19, Private,209826, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n53, Private,30244, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n54, Private,133050, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,41, United-States, <=50K\n29, Private,138332, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,6, United-States, <=50K\n81, Private,201398, Masters,14, Widowed, Prof-specialty, Unmarried, White, Male,0,0,60, ?, <=50K\n37, Private,526968, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, >50K\n40, Private,79036, Assoc-voc,11, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, >50K\n36, Private,240323, Some-college,10, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n18, Private,270544, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n44, State-gov,199551, 11th,7, Separated, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n36, Private,231052, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K\n69, State-gov,203072, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,126771, 12th,8, Never-married, Prof-specialty, Own-child, White, Male,0,0,7, United-States, <=50K\n38, Private,31848, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,328981, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K\n52, Private,159670, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,450695, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K\n57, Private,182028, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n19, Private,349620, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,161066, HS-grad,9, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K\n46, Private,213611, 7th-8th,4, Married-spouse-absent, Priv-house-serv, Unmarried, White, Female,0,1594,24, Guatemala, <=50K\n21, Private,548303, HS-grad,9, Married-civ-spouse, Prof-specialty, Own-child, White, Male,0,0,40, Mexico, >50K\n29, Private,150861, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Japan, <=50K\n33, ?,335625, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,133766, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n28, Private,200511, HS-grad,9, Separated, Farming-fishing, Not-in-family, White, Male,0,0,55, United-States, <=50K\n26, Private,50103, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n37, ?,148266, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,6, Mexico, <=50K\n49, Private,177211, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,132686, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n57, Federal-gov,21626, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Private,52900, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n20, ?,150084, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n38, Private,248886, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,42, United-States, <=50K\n51, Self-emp-not-inc,118259, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,60, United-States, <=50K\n60, Private,145493, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,219546, Bachelors,13, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,3411,0,47, United-States, <=50K\n44, Federal-gov,399155, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Female,0,0,40, United-States, <=50K\n19, Self-emp-not-inc,227310, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n59, Private,333270, Masters,14, Married-civ-spouse, Craft-repair, Wife, Asian-Pac-Islander, Female,0,0,35, Philippines, <=50K\n50, Private,231495, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n35, Federal-gov,133935, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n46, Federal-gov,55237, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n18, Private,183034, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,35, United-States, <=50K\n32, Private,245487, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K\n32, Private,185480, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,114251, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,181814, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Female,0,0,40, United-States, <=50K\n30, Private,340917, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n37, Private,241998, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,40, United-States, >50K\n38, Self-emp-inc,125324, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K\n36, Private,34744, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Female,0,0,37, United-States, <=50K\n56, Private,131608, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n35, Federal-gov,226916, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K\n56, Private,124137, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,41, United-States, <=50K\n17, Private,96282, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,14, United-States, <=50K\n46, Private,337050, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K\n56, Private,229335, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, State-gov,199495, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,111675, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, <=50K\n27, Private,139209, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,32372, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n33, Self-emp-not-inc,203784, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,62, United-States, <=50K\n33, Private,164190, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n38, Private,64875, Some-college,10, Never-married, Farming-fishing, Unmarried, White, Male,0,0,60, United-States, <=50K\n51, Private,41806, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,208725, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K\n49, Local-gov,79019, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,0,16, United-States, <=50K\n26, Private,136951, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n42, Private,203554, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n37, Private,252947, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,1719,32, United-States, <=50K\n38, Private,170861, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n48, Private,199590, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, >50K\n41, Private,529216, Bachelors,13, Divorced, Tech-support, Unmarried, Black, Male,7430,0,45, ?, >50K\n33, Private,195576, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,60, United-States, <=50K\n30, Private,182177, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Ireland, <=50K\n25, State-gov,183678, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n50, Private,209320, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n54, Self-emp-inc,206862, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,36, United-States, >50K\n37, Private,168941, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,201263, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,55, United-States, >50K\n17, Private,75333, 10th,6, Never-married, Sales, Own-child, Black, Female,0,0,24, United-States, <=50K\n65, ?,299494, 11th,7, Married-civ-spouse, ?, Husband, White, Male,1797,0,40, United-States, <=50K\n56, Self-emp-not-inc,163212, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,99999,0,40, United-States, >50K\n57, Private,139290, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,38, United-States, <=50K\n33, Private,400416, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n41, Self-emp-not-inc,223763, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K\n45, Private,77927, Bachelors,13, Widowed, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n50, Private,175804, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n18, Private,91525, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,25, United-States, <=50K\n19, Private,279968, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n26, Private,77698, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n61, ?,198686, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, >50K\n67, ?,190340, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,113491, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,202878, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n27, Private,108431, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,194490, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n37, Private,48093, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,90, United-States, >50K\n22, Private,136824, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,143280, 10th,6, Never-married, Priv-house-serv, Own-child, White, Female,0,0,24, United-States, <=50K\n26, Private,150062, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n27, Local-gov,298510, HS-grad,9, Divorced, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,177147, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,6849,0,65, United-States, <=50K\n51, Private,115025, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,350440, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n60, Private,83850, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,62669, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n24, Private,229773, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Local-gov,196234, HS-grad,9, Divorced, Craft-repair, Own-child, White, Female,0,0,40, Puerto-Rico, <=50K\n69, ?,163595, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n44, Private,157249, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,1977,50, United-States, >50K\n65, Private,80174, HS-grad,9, Divorced, Exec-managerial, Other-relative, White, Female,1848,0,50, United-States, <=50K\n52, Self-emp-inc,49069, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n38, Private,122952, HS-grad,9, Separated, Craft-repair, Unmarried, White, Female,0,0,35, United-States, <=50K\n18, Private,123856, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,49, United-States, <=50K\n24, Private,216181, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Private,180062, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n21, Private,188535, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,44, United-States, <=50K\n67, Self-emp-not-inc,106143, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,20051,0,40, United-States, >50K\n64, Self-emp-not-inc,170421, Some-college,10, Widowed, Craft-repair, Not-in-family, White, Female,0,0,8, United-States, <=50K\n25, Private,283087, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, United-States, <=50K\n34, Federal-gov,341051, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n39, Self-emp-not-inc,34378, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,380674, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,52, United-States, <=50K\n19, Private,304469, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,25, United-States, <=50K\n35, Private,99146, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,205109, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,99156, HS-grad,9, Separated, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n45, Private,97842, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,65, United-States, <=50K\n18, Private,100875, 11th,7, Never-married, Other-service, Unmarried, White, Female,0,0,28, United-States, <=50K\n51, Private,200576, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,63, United-States, <=50K\n36, Private,355053, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,28, United-States, <=50K\n18, Private,118376, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, ?, <=50K\n37, Local-gov,117760, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n37, Private,117567, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n39, Federal-gov,189632, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n21, Private,170108, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n46, State-gov,27243, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K\n33, Private,192663, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n23, Private,526164, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,146579, HS-grad,9, Divorced, Sales, Unmarried, Black, Male,0,0,40, United-States, <=50K\n28, Private,60288, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n23, State-gov,241951, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-inc,213140, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,218124, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n22, Self-emp-not-inc,279802, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,3, United-States, <=50K\n26, Private,153078, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,80, ?, >50K\n40, Private,167919, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n90, Private,250832, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,193158, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n44, Private,172032, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,39484, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,7298,0,42, United-States, >50K\n45, Private,84298, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n43, Private,269015, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, Germany, >50K\n17, ?,262196, 10th,6, Never-married, ?, Own-child, White, Male,0,0,8, United-States, <=50K\n49, Federal-gov,125892, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,134890, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,50, United-States, <=50K\n60, Self-emp-not-inc,261119, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,119409, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female,0,0,40, Columbia, <=50K\n53, Self-emp-not-inc,118793, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n19, Private,184207, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,191027, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,207782, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n48, Self-emp-not-inc,209146, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n76, ?,79445, 10th,6, Married-civ-spouse, ?, Husband, White, Male,1173,0,40, United-States, <=50K\n19, Private,187724, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n28, Private,66777, Assoc-voc,11, Married-civ-spouse, Other-service, Other-relative, White, Female,3137,0,40, United-States, <=50K\n58, Private,158002, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K\n19, Self-emp-not-inc,305834, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,25, United-States, <=50K\n37, ?,122265, HS-grad,9, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,42, ?, <=50K\n22, Private,211798, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,123011, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,36302, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n50, Self-emp-not-inc,176867, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,3781,0,40, United-States, <=50K\n62, Private,169204, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n26, Private,38232, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n64, State-gov,277657, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,24, United-States, <=50K\n38, Private,32271, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,116825, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,80, United-States, >50K\n28, Self-emp-not-inc,226198, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,28145, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,52, United-States, <=50K\n39, Private,140477, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,10, United-States, <=50K\n50, Private,165050, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Self-emp-inc,202937, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n36, Private,316298, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,203070, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,49, United-States, <=50K\n51, Self-emp-inc,103995, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n28, Private,176137, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K\n57, Self-emp-not-inc,103948, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, >50K\n40, Local-gov,39581, Prof-school,15, Separated, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n27, Private,506436, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, Peru, <=50K\n32, Private,226975, Some-college,10, Never-married, Sales, Own-child, White, Male,0,1876,60, United-States, <=50K\n49, State-gov,154493, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,44, United-States, <=50K\n34, Self-emp-not-inc,137223, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Private,102323, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Private,257765, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n52, Private,42924, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n43, Private,167599, 11th,7, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,25, United-States, <=50K\n84, ?,368925, 5th-6th,3, Widowed, ?, Not-in-family, White, Male,0,0,15, United-States, <=50K\n79, ?,100881, Assoc-acdm,12, Married-civ-spouse, ?, Wife, White, Female,0,0,2, United-States, >50K\n35, Private,52738, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,46, United-States, <=50K\n56, Private,98418, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,30, United-States, <=50K\n30, Private,381153, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,103700, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,298635, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,50, United-States, <=50K\n32, Private,127895, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n44, Self-emp-inc,212760, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n32, Private,281384, HS-grad,9, Married-AF-spouse, Other-service, Other-relative, White, Female,0,0,10, United-States, <=50K\n60, Private,181200, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,257364, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K\n50, Private,283281, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n58, Private,214502, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, >50K\n41, Private,69333, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,190060, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,95864, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,35, United-States, <=50K\n71, ?,144872, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,6514,0,40, United-States, >50K\n17, ?,275778, 9th,5, Never-married, ?, Own-child, White, Female,0,0,25, Mexico, <=50K\n45, Private,27332, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,24395, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,30, United-States, <=50K\n25, Private,330695, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n40, Self-emp-not-inc,171615, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, >50K\n28, Private,116372, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K\n27, Private,38599, 12th,8, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Local-gov,202184, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K\n24, Private,315303, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,25, United-States, <=50K\n38, Private,103456, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, State-gov,163480, Masters,14, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n18, Private,317425, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,7, United-States, <=50K\n58, Private,216941, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,116541, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,44, United-States, >50K\n43, Private,186396, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,20, United-States, <=50K\n45, Private,273194, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,3137,0,35, United-States, <=50K\n24, Private,385540, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, <=50K\n63, Private,201631, 9th,5, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Private,439919, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n21, Private,182117, Bachelors,13, Never-married, Other-service, Other-relative, White, Male,0,0,20, United-States, <=50K\n20, State-gov,334113, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,184837, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,7298,0,40, United-States, >50K\n49, ?,228372, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, >50K\n47, Federal-gov,211123, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-inc,38819, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K\n61, Private,162391, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1651,40, United-States, <=50K\n23, ?,302836, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,40, El-Salvador, <=50K\n35, State-gov,89040, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,264210, Some-college,10, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,20, United-States, <=50K\n18, Private,87157, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n28, Self-emp-not-inc,398918, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n62, ?,123612, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,4, United-States, <=50K\n20, Private,155818, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n28, Private,243660, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,134195, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,238638, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,159929, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,198668, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,215504, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,158002, Some-college,10, Never-married, Craft-repair, Other-relative, White, Male,0,0,55, Ecuador, <=50K\n53, Local-gov,35305, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,57, United-States, <=50K\n25, Private,195994, 1st-4th,2, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, Guatemala, <=50K\n44, State-gov,321824, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, <=50K\n22, Private,180449, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,28, United-States, <=50K\n40, Private,201764, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,250038, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, ?, <=50K\n30, Self-emp-not-inc,226535, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n51, Private,136121, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n17, Private,47199, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,24, United-States, <=50K\n46, Local-gov,215895, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n50, State-gov,24647, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,734193, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n42, ?,321086, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n41, Federal-gov,192589, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,326283, Bachelors,13, Never-married, Other-service, Unmarried, Other, Male,0,0,40, United-States, <=50K\n32, Private,207284, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,109089, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K\n50, Private,274528, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n77, Private,142646, 7th-8th,4, Widowed, Priv-house-serv, Unmarried, White, Female,0,0,23, United-States, <=50K\n33, Private,180859, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-inc,188610, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n64, Private,169604, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,260560, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n34, Local-gov,188245, HS-grad,9, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K\n67, Local-gov,103315, Masters,14, Never-married, Exec-managerial, Other-relative, White, Female,15831,0,72, United-States, >50K\n37, Local-gov,52465, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,737315, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n22, ?,195143, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,29, United-States, <=50K\n50, Self-emp-not-inc,219420, Doctorate,16, Divorced, Sales, Not-in-family, White, Male,0,0,64, United-States, <=50K\n60, Private,198170, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n46, Local-gov,183168, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, <=50K\n44, Private,196545, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n43, Private,168412, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,44, Poland, <=50K\n48, Private,174386, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, El-Salvador, >50K\n36, Private,544686, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,2907,0,40, Nicaragua, <=50K\n48, Private,95661, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K\n37, Private,468713, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,169112, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,74024, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,110622, 5th-6th,3, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,20, Vietnam, <=50K\n43, Local-gov,33331, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,181557, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,25, United-States, <=50K\n66, Private,142624, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5556,0,40, Yugoslavia, >50K\n37, Self-emp-not-inc,192251, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,2635,0,40, United-States, <=50K\n35, Private,146091, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Local-gov,174575, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K\n49, Private,200949, 10th,6, Never-married, Other-service, Unmarried, White, Female,0,0,38, Peru, <=50K\n51, Local-gov,201560, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n71, Federal-gov,149386, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,9, United-States, <=50K\n50, Local-gov,168672, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,40, United-States, >50K\n63, Private,38352, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, State-gov,180272, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K\n24, State-gov,275421, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Local-gov,173051, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K\n33, Local-gov,167474, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,267138, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n23, Private,135138, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n49, Private,218357, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K\n28, Self-emp-not-inc,107236, 12th,8, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,138416, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,56, Mexico, <=50K\n28, Private,154863, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Male,0,0,35, United-States, <=50K\n37, Private,194004, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K\n19, Private,339123, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,548361, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,26, United-States, <=50K\n25, Private,101812, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,41, United-States, <=50K\n49, Self-emp-inc,127111, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n47, Private,171807, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K\n48, Local-gov,40666, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,340682, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,175052, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, ?,321629, HS-grad,9, Never-married, ?, Unmarried, White, Female,0,0,16, United-States, <=50K\n46, Private,154405, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n17, Private,108402, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n34, Private,346275, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,43, United-States, <=50K\n44, Private,42476, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,30, United-States, <=50K\n23, Private,161708, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n35, Private,70447, Some-college,10, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Male,4650,0,20, United-States, <=50K\n30, Private,189759, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,4865,0,40, United-States, <=50K\n65, ?,137354, Some-college,10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K\n34, Private,250724, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, Jamaica, <=50K\n34, Federal-gov,149368, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,154641, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,38309, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,2407,0,40, United-States, <=50K\n53, Local-gov,202733, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,70, United-States, >50K\n34, Private,56150, 11th,7, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n21, Private,260254, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,108083, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n54, Self-emp-not-inc,71344, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n32, Private,174215, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, State-gov,114366, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n39, Private,158962, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,179498, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Germany, <=50K\n29, Private,31935, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,149909, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K\n20, ?,58740, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K\n39, Private,216552, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,255348, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,176050, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n71, ?,125101, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n62, ?,197286, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,337469, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,594,0,20, Mexico, <=50K\n31, Private,159737, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,58, United-States, <=50K\n39, Private,316211, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n32, Private,127610, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,32, United-States, >50K\n45, Local-gov,556652, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n19, Private,265576, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n43, Private,347653, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K\n32, Private,62374, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,170230, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n34, Private,203051, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,27, United-States, <=50K\n66, Self-emp-inc,115880, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,167735, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K\n46, Self-emp-inc,181413, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n23, Private,185554, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Private,350387, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n63, Private,225102, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, ?, <=50K\n55, Private,105582, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3103,0,40, United-States, >50K\n35, Self-emp-not-inc,350247, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,150025, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, ?, >50K\n37, Private,107737, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n63, ?,334741, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n43, Private,115562, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K\n30, Self-emp-not-inc,131584, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K\n36, Local-gov,95855, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, >50K\n54, Private,391016, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n36, Federal-gov,51089, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n78, Self-emp-inc,188044, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2392,40, United-States, >50K\n77, Private,117898, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,70240, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n39, Self-emp-not-inc,187693, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, United-States, >50K\n37, Private,341672, Bachelors,13, Separated, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n34, Private,208043, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,45, United-States, >50K\n22, Local-gov,289982, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K\n54, Private,76344, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n21, Private,200973, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n36, Private,111377, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,136684, HS-grad,9, Widowed, Adm-clerical, Other-relative, White, Female,0,0,30, United-States, <=50K\n40, Private,176716, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n47, Self-emp-not-inc,166894, Some-college,10, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, Private,243872, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n28, Private,155621, 5th-6th,3, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Columbia, <=50K\n46, Private,102597, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,60331, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K\n37, Private,75024, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,25, Canada, <=50K\n69, Private,174474, 10th,6, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,28, Peru, <=50K\n43, Private,145441, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n53, Private,83434, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,21, Japan, >50K\n20, Private,691830, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K\n22, Private,189203, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n48, Private,115784, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n40, Federal-gov,280167, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n68, ?,407338, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n39, Private,52978, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,1721,55, United-States, <=50K\n57, Private,169329, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Black, Male,0,1887,40, Trinadad&Tobago, >50K\n23, Private,315065, 10th,6, Never-married, Other-service, Unmarried, White, Male,0,0,60, Mexico, <=50K\n25, Local-gov,167835, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,38, United-States, >50K\n22, Private,63105, HS-grad,9, Never-married, Prof-specialty, Own-child, Black, Male,0,0,40, United-States, <=50K\n23, Private,520775, 12th,8, Never-married, Priv-house-serv, Own-child, White, Male,0,0,30, United-States, <=50K\n41, Local-gov,47902, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,145434, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,25, United-States, <=50K\n58, Private,56392, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,162312, HS-grad,9, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,45, Japan, <=50K\n28, Private,204074, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K\n19, Private,99246, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,25, United-States, <=50K\n44, Private,102085, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n68, Private,168794, Preschool,1, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,10, United-States, <=50K\n33, State-gov,332379, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,233419, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,57233, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,192337, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n31, Private,442429, HS-grad,9, Separated, Craft-repair, Unmarried, White, Female,0,0,40, Mexico, <=50K\n29, Private,369114, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Private,261334, 9th,5, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Private,160303, HS-grad,9, Widowed, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n49, Private,50474, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,321577, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n41, Private,29591, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n33, Self-emp-not-inc,334744, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n22, Self-emp-not-inc,269474, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,287306, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n66, Private,33619, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,4, United-States, <=50K\n38, Private,149347, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n43, Private,96249, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, >50K\n40, Local-gov,370502, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n32, Private,188246, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,167558, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,35, Mexico, <=50K\n35, Private,292185, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,101593, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n33, Local-gov,70164, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n36, Private,269722, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n33, Self-emp-not-inc,175502, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n53, Private,233165, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n27, Private,177351, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n22, Private,212114, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,15, United-States, <=50K\n26, Private,288959, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,36, United-States, <=50K\n64, Private,231619, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,21, United-States, <=50K\n48, Private,146919, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n23, Private,388811, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,243560, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,40, ?, <=50K\n35, Self-emp-not-inc,98360, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,369538, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n65, Self-emp-not-inc,31740, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n53, Private,223660, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Male,6849,0,40, United-States, <=50K\n18, Private,333611, 5th-6th,3, Never-married, Other-service, Other-relative, White, Male,0,0,54, Mexico, <=50K\n34, Self-emp-not-inc,108247, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n28, Private,76129, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Guatemala, <=50K\n37, Private,91711, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n61, ?,166855, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K\n59, Private,182062, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,40, United-States, <=50K\n32, Private,252752, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,13550,0,60, United-States, >50K\n31, Private,43953, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, <=50K\n25, Local-gov,84224, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n81, Private,100675, 1st-4th,2, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, Poland, <=50K\n47, Private,155509, HS-grad,9, Separated, Other-service, Other-relative, Black, Female,0,0,35, United-States, <=50K\n39, Private,29814, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,241805, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,30, United-States, <=50K\n44, Private,214838, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n37, Private,240810, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n41, Private,154076, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n27, ?,175552, 5th-6th,3, Married-civ-spouse, ?, Wife, White, Female,0,0,40, Mexico, <=50K\n55, Private,170287, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Poland, >50K\n60, Private,145995, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,433669, Assoc-acdm,12, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,36, ?, <=50K\n23, Private,233626, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K\n19, Private,607799, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,60, United-States, <=50K\n45, Private,88500, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, >50K\n36, Private,127809, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n46, Private,243743, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,177211, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,231180, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,253856, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n39, Private,177075, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,152855, HS-grad,9, Never-married, Exec-managerial, Own-child, Other, Female,0,0,40, Mexico, <=50K\n37, Private,191137, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Male,0,0,25, United-States, <=50K\n49, Private,255559, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n27, Private,169815, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,221215, 10th,6, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K\n35, Private,270059, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n54, ?,31588, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2635,0,40, United-States, <=50K\n17, Private,345403, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,194897, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n33, Private,388741, Some-college,10, Never-married, Adm-clerical, Unmarried, Other, Female,0,0,38, United-States, <=50K\n33, Private,355856, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,60, United-States, <=50K\n51, Private,122109, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K\n49, Private,75673, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n49, Self-emp-inc,141058, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,2339,50, United-States, <=50K\n41, Private,47902, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K\n64, Private,221343, 1st-4th,2, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,12, United-States, <=50K\n40, Private,255675, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n49, Federal-gov,203505, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,125106, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,139890, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,76878, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n47, Self-emp-not-inc,28035, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,86, United-States, <=50K\n30, Private,43953, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,1974,40, United-States, <=50K\n36, Private,163237, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n23, Local-gov,55890, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,255934, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K\n61, Private,168654, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Canada, <=50K\n47, Self-emp-not-inc,39986, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,208451, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,206681, 12th,8, Never-married, Sales, Not-in-family, White, Female,0,0,55, United-States, <=50K\n33, Private,117779, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,46, United-States, >50K\n36, Self-emp-not-inc,129150, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n38, ?,177273, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,35, United-States, <=50K\n34, Local-gov,226443, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,146326, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,187901, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,23, United-States, <=50K\n26, Private,97153, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,40, United-States, >50K\n49, Private,188694, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n71, Private,187493, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,212468, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n20, Private,84726, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,137907, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n51, Private,34361, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,20, United-States, >50K\n38, Private,254114, Some-college,10, Married-spouse-absent, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n38, Private,170174, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n35, Self-emp-not-inc,190895, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K\n24, Local-gov,317443, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K\n40, Private,375603, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, <=50K\n21, Private,203076, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n49, Private,53893, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, ?,171748, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,24, United-States, <=50K\n54, Private,167770, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,55, United-States, >50K\n52, Private,204584, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,42, United-States, <=50K\n27, Private,660870, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n20, Private,105686, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, ?,70282, Masters,14, Married-civ-spouse, ?, Wife, Black, Female,15024,0,2, United-States, >50K\n31, Private,148607, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,255849, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Federal-gov,255921, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, England, <=50K\n33, Private,113326, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,440456, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,105493, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,259757, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,653,50, United-States, >50K\n37, Local-gov,89491, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,171818, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,51151, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,188957, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,97933, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Self-emp-inc,195447, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n63, ?,46907, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, >50K\n54, Self-emp-inc,383365, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n32, Self-emp-not-inc,203408, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n29, Local-gov,148182, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n26, Local-gov,211497, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,48063, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n57, Private,211804, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,50, United-States, >50K\n54, Private,185407, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,225927, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n23, Federal-gov,314525, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,208577, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n42, Private,222884, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n31, Private,209538, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Local-gov,177114, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n50, Private,173754, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,121370, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n37, Private,67125, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n26, Private,67240, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,198346, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n24, Private,141003, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,25, United-States, <=50K\n24, Self-emp-inc,60668, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,104256, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,34, United-States, <=50K\n47, Private,131002, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n33, Self-emp-not-inc,155151, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1740,50, United-States, <=50K\n26, Private,177720, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K\n20, Private,39615, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,203871, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,40, United-States, >50K\n57, State-gov,25045, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Male,2174,0,37, United-States, <=50K\n36, Private,112264, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,169100, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,155659, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Germany, >50K\n39, Private,291665, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,4508,0,24, United-States, <=50K\n29, Private,224215, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,270502, 11th,7, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K\n46, Private,125487, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,51385, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n41, Private,112763, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,108926, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n53, Private,366957, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,99999,0,50, India, >50K\n36, Local-gov,109766, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, <=50K\n38, Private,226106, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n75, Self-emp-not-inc,92792, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n26, Private,186950, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n44, Private,230478, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,231638, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,120461, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n49, Private,33673, 12th,8, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male,0,0,35, United-States, <=50K\n34, Private,191385, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n31, Self-emp-not-inc,229946, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Columbia, <=50K\n47, Self-emp-not-inc,160131, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,190895, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n18, Private,126021, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,20, United-States, <=50K\n47, Private,27815, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,1719,30, United-States, <=50K\n42, Private,203542, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,144592, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,223004, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,75, United-States, <=50K\n22, Private,183257, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n32, Private,172714, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,131611, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,48, United-States, <=50K\n41, Private,253060, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,471990, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,46, United-States, >50K\n44, Private,138966, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, <=50K\n35, Private,385412, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, ?,184101, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n60, Private,103344, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, United-States, >50K\n36, Local-gov,135786, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K\n30, Private,227359, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n40, State-gov,86912, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n21, Private,83033, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,2176,0,20, United-States, <=50K\n25, Private,172581, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, State-gov,274111, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,1669,40, United-States, <=50K\n42, Private,187795, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, United-States, >50K\n26, Private,483822, 7th-8th,4, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, Guatemala, <=50K\n66, Self-emp-inc,220543, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n48, Private,152953, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, Dominican-Republic, <=50K\n35, Private,239755, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K\n41, Private,177905, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n19, Private,200136, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n55, Self-emp-not-inc,111625, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,336513, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,60, United-States, >50K\n45, Private,162915, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Private,116662, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,24763, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n65, Private,225580, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n30, Private,169104, Assoc-acdm,12, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n43, Private,212894, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,93997, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Italy, <=50K\n22, Private,189924, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n23, Private,274424, 11th,7, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,188246, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,284211, HS-grad,9, Widowed, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K\n21, Private,198259, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n31, Private,368517, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n34, Private,168768, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n33, Federal-gov,122220, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, >50K\n32, Private,136204, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,0,2824,55, United-States, >50K\n44, Private,175641, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n21, State-gov,173324, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n75, Local-gov,31195, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n55, Federal-gov,88876, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, United-States, >50K\n43, Self-emp-not-inc,176069, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,16, United-States, <=50K\n31, Private,215297, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n41, Private,198425, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n26, Local-gov,180957, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n23, Private,206129, Assoc-voc,11, Never-married, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n42, Federal-gov,65950, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n29, Private,197618, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,185357, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n28, Private,134890, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n64, ?,193043, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n35, Federal-gov,153633, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n65, Private,115890, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n34, Private,394447, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,2463,0,50, France, <=50K\n58, Private,343957, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n63, ?,247986, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K\n50, Private,238959, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,60, ?, >50K\n59, Private,159048, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,423222, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n30, Private,89735, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,31778, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n51, ?,157327, 5th-6th,3, Married-civ-spouse, ?, Husband, Black, Male,0,0,8, United-States, <=50K\n47, Private,233511, Masters,14, Divorced, Sales, Not-in-family, White, Male,27828,0,60, United-States, >50K\n30, Private,327112, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,1564,40, United-States, >50K\n34, Private,236543, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n51, State-gov,194475, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,303510, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,171242, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n28, Self-emp-not-inc,39388, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n62, Local-gov,197218, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,18, United-States, <=50K\n22, State-gov,151991, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,20, United-States, <=50K\n38, Private,374524, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n34, ?,267352, 11th,7, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n45, Local-gov,364563, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,186035, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n21, Private,47541, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n49, Private,151107, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n24, Private,500509, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n47, Private,138107, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,2258,40, United-States, >50K\n20, Federal-gov,225515, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,24, United-States, <=50K\n27, Private,153291, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n40, Private,169885, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, ?,112780, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n31, Local-gov,175778, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,55213, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1977,52, United-States, >50K\n48, Private,38950, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n64, Self-emp-not-inc,65991, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298,0,45, United-States, >50K\n39, Private,174330, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n50, Private,35224, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,175622, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,164678, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, <=50K\n50, ?,87263, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,55, United-States, >50K\n54, Private,163671, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,65, United-States, >50K\n17, Self-emp-not-inc,181317, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,35, United-States, <=50K\n33, Federal-gov,177945, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Private,47168, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,190023, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n33, Private,168782, Assoc-voc,11, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n59, Private,175290, 7th-8th,4, Never-married, Other-service, Other-relative, White, Male,0,0,32, United-States, <=50K\n74, Private,145463, 1st-4th,2, Widowed, Priv-house-serv, Not-in-family, Black, Female,0,0,15, United-States, <=50K\n54, Private,159755, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,113364, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K\n31, Private,487742, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,304710, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K\n54, Local-gov,185846, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K\n42, Private,212894, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,2407,0,40, United-States, <=50K\n57, Self-emp-not-inc,315460, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, <=50K\n49, Private,135643, HS-grad,9, Widowed, Craft-repair, Unmarried, Asian-Pac-Islander, Female,0,0,40, South, <=50K\n40, Private,220977, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,3103,0,40, India, >50K\n19, ?,117444, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n38, Private,202683, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,164866, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, >50K\n43, Private,191814, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n32, ?,227160, Some-college,10, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,158077, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n38, Private,191103, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,99, United-States, >50K\n25, Private,193701, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n40, Private,143046, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n34, Private,206297, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n35, Self-emp-not-inc,188563, HS-grad,9, Divorced, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K\n53, Private,35102, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,34, United-States, <=50K\n21, Private,203055, Some-college,10, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n43, Private,309932, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,243432, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n22, Private,177107, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K\n64, Self-emp-not-inc,113929, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n19, ?,291509, 12th,8, Never-married, ?, Own-child, White, Male,0,0,28, United-States, <=50K\n40, Private,222011, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,3325,0,40, United-States, <=50K\n34, Private,186824, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,70, United-States, <=50K\n46, Private,192768, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n35, Private,234962, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K\n32, Private,83253, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n26, Private,248990, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,346159, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, Private,272656, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,55, United-States, >50K\n22, Private,60552, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n29, State-gov,33798, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n38, Self-emp-not-inc,112158, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, <=50K\n55, Private,200992, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n26, Private,98155, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-inc,79586, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Other, Male,0,0,60, United-States, <=50K\n25, State-gov,143062, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,101146, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,4650,0,40, United-States, <=50K\n18, ?,284450, 11th,7, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n58, State-gov,159021, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,353270, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,162312, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,45, South, <=50K\n49, State-gov,231961, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Male,0,0,50, United-States, >50K\n38, Private,181943, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n21, Private,163595, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n28, Private,130856, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,208875, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, El-Salvador, >50K\n29, Self-emp-not-inc,58744, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,60, United-States, <=50K\n48, Private,116641, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n40, Private,69333, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,320811, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,197886, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n57, Self-emp-not-inc,253914, 1st-4th,2, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, Mexico, <=50K\n24, Private,89154, 9th,5, Never-married, Other-service, Not-in-family, White, Male,0,0,40, El-Salvador, <=50K\n32, Private,372317, 9th,5, Separated, Other-service, Unmarried, White, Female,0,0,23, Mexico, <=50K\n18, Self-emp-not-inc,296090, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,48, ?, <=50K\n39, Private,192614, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,56, United-States, <=50K\n39, Private,403489, 11th,7, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,169652, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K\n20, Private,217467, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n27, ?,162104, 9th,5, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n54, Private,175912, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,179533, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,75, United-States, >50K\n27, Private,149624, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, United-States, <=50K\n27, Private,289147, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Federal-gov,347720, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K\n22, Private,406978, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K\n17, Private,193199, 11th,7, Never-married, Sales, Unmarried, White, Female,0,0,12, Poland, <=50K\n37, Self-emp-inc,163998, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n49, Private,173115, 10th,6, Separated, Exec-managerial, Not-in-family, Black, Male,4416,0,99, United-States, <=50K\n33, Private,333701, Assoc-voc,11, Never-married, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K\n21, State-gov,48121, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,1602,10, United-States, <=50K\n45, Private,186256, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,104525, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,104097, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,60, United-States, <=50K\n71, Private,212806, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,36, United-States, <=50K\n23, Local-gov,203353, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,45, United-States, <=50K\n41, Private,130126, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, >50K\n21, ?,270043, 10th,6, Never-married, ?, Unmarried, White, Female,0,0,30, United-States, <=50K\n47, Private,218435, HS-grad,9, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,20, Cuba, <=50K\n30, Private,154120, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K\n40, Private,193537, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Dominican-Republic, <=50K\n44, Private,84535, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K\n50, Private,150999, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K\n31, State-gov,157673, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n68, Private,217424, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,24, United-States, <=50K\n45, Private,358886, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,2407,0,50, United-States, <=50K\n38, Private,186191, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n78, Self-emp-inc,212660, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, <=50K\n31, Self-emp-inc,31740, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n39, Private,498785, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,35945, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,45, United-States, >50K\n46, Local-gov,162566, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, Canada, <=50K\n30, Private,118861, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K\n34, Private,206609, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,35, United-States, <=50K\n30, Federal-gov,423064, HS-grad,9, Separated, Adm-clerical, Other-relative, Black, Male,0,0,35, United-States, <=50K\n47, Private,191957, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K\n40, Private,223934, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,17, United-States, >50K\n62, ?,129246, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,195486, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,70, Jamaica, <=50K\n40, Private,114580, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Female,0,0,40, Vietnam, <=50K\n20, Private,119215, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,240554, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,199067, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,42, United-States, >50K\n51, Private,144084, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,358682, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n49, Local-gov,59612, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n49, State-gov,391585, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n30, Local-gov,101345, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,26, United-States, <=50K\n20, Private,117618, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,231238, 9th,5, Separated, Farming-fishing, Unmarried, Black, Male,0,0,40, United-States, <=50K\n42, Local-gov,143046, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,326857, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,2415,65, United-States, >50K\n43, Private,203642, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n62, Private,88579, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n21, Private,240517, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,70, United-States, <=50K\n58, Local-gov,156649, 1st-4th,2, Widowed, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K\n30, Private,143392, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n37, Private,365465, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,70, Philippines, <=50K\n22, State-gov,264710, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n64, State-gov,223830, 9th,5, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n42, Private,154374, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n43, State-gov,242521, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,124569, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,209230, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,6, United-States, <=50K\n21, Private,162228, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Federal-gov,60267, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-not-inc,76901, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n24, Private,137876, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n70, Self-emp-not-inc,347910, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n27, Local-gov,138917, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n34, Private,532379, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,31532, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,30973, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,117295, 1st-4th,2, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n32, Private,295282, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n42, Private,190786, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,246207, Bachelors,13, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n50, Private,130780, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n36, Private,186212, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n42, Private,175526, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,207025, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,6849,0,38, United-States, <=50K\n39, Federal-gov,82622, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n51, Private,199688, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, ?, >50K\n38, State-gov,318886, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,52, United-States, <=50K\n18, Private,256005, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n63, Self-emp-not-inc,217715, 5th-6th,3, Never-married, Sales, Not-in-family, White, Female,0,0,3, United-States, <=50K\n50, Private,205803, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n82, Self-emp-not-inc,240491, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Cuba, <=50K\n33, Private,154120, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K\n37, Private,69251, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n24, Private,333505, HS-grad,9, Married-spouse-absent, Transport-moving, Own-child, White, Male,0,0,40, Peru, <=50K\n31, Private,168521, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n59, Private,193568, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n18, Private,426895, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,55, United-States, <=50K\n47, Self-emp-not-inc,131826, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,79646, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,167031, Bachelors,13, Never-married, Prof-specialty, Unmarried, Other, Female,0,0,33, United-States, <=50K\n34, Private,73199, 11th,7, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n50, Private,114056, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,84, United-States, <=50K\n57, Self-emp-not-inc,110417, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, <=50K\n60, Private,33266, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,154410, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n56, ?,154537, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,50, United-States, >50K\n18, Private,27780, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n26, Private,142914, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,75, United-States, <=50K\n37, Private,190987, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,7298,0,40, United-States, >50K\n20, Private,314422, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n29, Local-gov,273771, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n30, Private,175083, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,52, United-States, <=50K\n21, Private,63665, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n24, Local-gov,193416, Some-college,10, Never-married, Protective-serv, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Private,74275, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,122609, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,225456, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K\n36, Local-gov,116892, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,196971, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,72, United-States, <=50K\n20, Private,105312, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n46, Private,108699, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n44, Private,171615, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n39, Private,388023, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n39, Private,181553, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K\n45, Private,170850, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, >50K\n28, Private,187479, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n44, Private,277720, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K\n48, Local-gov,493862, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,7298,0,38, United-States, >50K\n27, Private,220754, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,70, United-States, <=50K\n34, Self-emp-not-inc,209768, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,93225, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Federal-gov,341709, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,236242, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n21, Private,121889, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n18, Private,318190, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n63, Self-emp-not-inc,111306, 7th-8th,4, Widowed, Farming-fishing, Unmarried, White, Female,0,0,10, United-States, <=50K\n18, Private,198614, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,8, United-States, <=50K\n32, Private,193231, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, ?,104614, 11th,7, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,172368, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K\n23, Private,60331, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n38, Private,154568, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n36, Private,192939, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K\n43, Private,138184, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,1762,35, United-States, <=50K\n45, Private,238567, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, England, >50K\n30, Private,208068, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K\n46, Private,181810, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,4064,0,40, United-States, <=50K\n24, Federal-gov,283918, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,25, United-States, <=50K\n42, Private,107276, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,2444,40, United-States, >50K\n23, Private,37783, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,263552, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n48, Private,255439, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-inc,344275, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K\n31, Private,70568, 1st-4th,2, Never-married, Other-service, Other-relative, White, Female,0,0,25, El-Salvador, <=50K\n18, Private,127827, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n36, Private,185203, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Private,123436, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n51, Self-emp-not-inc,136322, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1579,40, United-States, <=50K\n22, Private,187052, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n72, Private,177769, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K\n61, Private,68268, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n42, Private,424855, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3908,0,40, United-States, <=50K\n37, Federal-gov,81853, HS-grad,9, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, ?, <=50K\n30, Self-emp-inc,153549, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n40, Private,271393, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,198148, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n65, Private,469602, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K\n36, Private,163290, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,295949, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,125279, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n64, Local-gov,182866, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,111563, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, >50K\n38, Private,34173, Bachelors,13, Never-married, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K\n27, Private,183627, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n24, Private,197757, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n39, Private,98941, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n44, Private,205474, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,206659, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n73, ?,191394, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n66, Private,244661, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n53, Private,47396, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n43, State-gov,270721, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n57, State-gov,32694, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,171256, Assoc-acdm,12, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,45, United-States, <=50K\n59, Private,169982, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2002,50, United-States, <=50K\n52, Self-emp-not-inc,217210, HS-grad,9, Widowed, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K\n46, Private,218329, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,386643, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Federal-gov,125933, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-not-inc,155767, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n39, Federal-gov,432555, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,1628,40, United-States, <=50K\n30, Private,54929, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n59, Private,162136, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,56, United-States, <=50K\n22, Private,256504, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,162098, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n39, Self-emp-not-inc,103110, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,227610, 10th,6, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,58, United-States, <=50K\n63, Private,176696, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n51, Private,220019, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-inc,242984, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n38, Private,187847, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,132636, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n20, Private,108887, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n42, Self-emp-not-inc,195897, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,112181, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,12, United-States, >50K\n56, Local-gov,391926, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,195505, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,5, United-States, <=50K\n31, Private,43819, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,43, United-States, >50K\n23, Private,145389, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n33, ?,186824, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,101833, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,82283, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n52, Private,99602, HS-grad,9, Separated, Craft-repair, Own-child, Black, Female,0,0,40, United-States, <=50K\n28, Private,213276, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n59, Private,424468, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n30, Private,176123, 10th,6, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n32, Private,38797, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,101859, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n53, Private,87158, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,205066, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K\n26, Private,56929, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,50, ?, <=50K\n34, Private,25322, Bachelors,13, Married-spouse-absent, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,2339,40, ?, <=50K\n31, Private,87950, Assoc-voc,11, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n34, Private,150154, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n58, Private,142076, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,4787,0,39, United-States, >50K\n30, State-gov,112139, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,149217, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n27, Private,189974, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n23, Private,109199, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n24, Private,190290, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n36, Private,189404, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,35, United-States, >50K\n33, Federal-gov,428271, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n22, State-gov,134192, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,10, United-States, <=50K\n47, Private,168211, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n34, Private,277314, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, Black, Male,0,1902,50, United-States, >50K\n44, Federal-gov,316120, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, >50K\n41, Private,107276, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n45, ?,112453, HS-grad,9, Separated, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,4, United-States, <=50K\n24, Private,346909, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, Mexico, <=50K\n65, ?,105017, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,317360, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n23, Private,189017, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n54, Private,138179, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,299813, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,37, Dominican-Republic, <=50K\n45, Private,265083, 5th-6th,3, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,35, Mexico, <=50K\n50, Private,185846, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,184655, Assoc-acdm,12, Never-married, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K\n24, Private,200295, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,117319, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,40, United-States, <=50K\n50, Private,63000, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n58, Self-emp-not-inc,106942, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n47, Private,52795, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,46, United-States, <=50K\n37, Private,51264, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,99, France, >50K\n37, Self-emp-not-inc,410919, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n22, Private,105592, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n29, Self-emp-not-inc,183151, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n45, Private,209912, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K\n49, Self-emp-not-inc,275845, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n44, Local-gov,241851, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,4386,0,40, United-States, >50K\n72, Private,89299, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K\n63, Self-emp-not-inc,106648, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,12, United-States, <=50K\n26, Private,58426, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n58, Self-emp-not-inc,121912, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K\n40, Private,170730, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n56, Private,257555, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,51499, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K\n28, Private,195000, Bachelors,13, Never-married, Sales, Other-relative, White, Female,0,0,45, United-States, <=50K\n57, Private,108741, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n37, Private,184964, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n44, Private,156815, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,49325, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,121718, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Germany, <=50K\n18, Private,172076, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n57, Self-emp-not-inc,327901, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n53, Local-gov,215990, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K\n38, Private,210866, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K\n33, Private,322873, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n42, Private,265698, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n70, ?,26990, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K\n50, Private,177896, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n50, Private,189107, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,306830, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Nicaragua, <=50K\n72, Federal-gov,39110, 11th,7, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,8, Canada, <=50K\n33, Private,155475, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,135803, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,25, Philippines, <=50K\n48, Private,117849, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n64, Self-emp-not-inc,339321, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,24, United-States, >50K\n19, Private,318822, 11th,7, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,35, United-States, <=50K\n48, Private,174794, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,204277, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1848,48, United-States, >50K\n55, Private,182460, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,35, United-States, >50K\n24, Private,193920, Masters,14, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,45, ?, <=50K\n42, Federal-gov,91468, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,106760, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, Canada, >50K\n34, Private,375680, Assoc-acdm,12, Never-married, Craft-repair, Own-child, Black, Female,0,0,40, United-States, <=50K\n55, Self-emp-inc,222615, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n22, Private,190968, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,76767, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n50, Self-emp-not-inc,203098, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n47, Local-gov,162187, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,40, United-States, >50K\n25, Private,242729, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n52, Private,253784, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n30, Private,206051, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,181553, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n73, Self-emp-inc,80986, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K\n50, Private,200783, 7th-8th,4, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n34, Private,42596, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n24, Private,464502, Assoc-acdm,12, Never-married, Sales, Not-in-family, Black, Male,0,0,40, ?, <=50K\n66, Private,205724, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, >50K\n22, Private,446140, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,55, United-States, <=50K\n69, Local-gov,32287, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, United-States, <=50K\n23, Private,56774, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,308118, Bachelors,13, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, ?, <=50K\n35, Private,176279, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n20, Private,103277, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n70, Self-emp-inc,225780, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, >50K\n54, Private,154728, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,7688,0,40, United-States, >50K\n34, Private,149943, HS-grad,9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K\n38, State-gov,22245, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n33, Private,93056, 7th-8th,4, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,270522, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,26, United-States, <=50K\n60, Self-emp-inc,123218, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n81, Self-emp-not-inc,123959, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,1668,3, Hungary, <=50K\n32, Self-emp-not-inc,103642, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n34, Private,157747, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n46, Self-emp-not-inc,154083, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K\n30, State-gov,23037, Some-college,10, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0,0,84, United-States, <=50K\n23, ?,226891, HS-grad,9, Never-married, ?, Other-relative, Asian-Pac-Islander, Female,0,0,20, South, <=50K\n29, Private,50028, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,138251, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,369825, 7th-8th,4, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,25, United-States, <=50K\n36, Federal-gov,44364, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,36, United-States, <=50K\n23, Private,230704, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,22, United-States, <=50K\n35, Private,42044, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K\n28, Local-gov,56340, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, State-gov,156015, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,163434, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,85251, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n38, Self-emp-inc,187411, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,155124, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,1669,40, United-States, <=50K\n25, Private,396633, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,56, United-States, >50K\n45, Private,182313, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n38, Private,52596, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n66, ?,260111, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n65, Local-gov,143570, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n30, Private,160634, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, >50K\n54, Private,29909, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,43, United-States, <=50K\n49, Private,94215, 12th,8, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,151990, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,15, United-States, >50K\n48, Federal-gov,188081, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,218445, 5th-6th,3, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,12, Mexico, <=50K\n77, Private,235775, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, Cuba, <=50K\n19, Private,98605, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n30, Private,188398, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n41, Self-emp-inc,140365, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,55, United-States, >50K\n35, Private,202950, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, Iran, >50K\n20, Private,218215, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n66, Self-emp-inc,197816, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,10605,0,40, United-States, >50K\n49, Private,147002, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K\n52, Private,138497, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n24, Private,57711, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K\n50, Private,169925, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, United-States, <=50K\n22, Private,72310, 11th,7, Never-married, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K\n19, Private,170800, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n39, Private,215095, 11th,7, Never-married, Prof-specialty, Unmarried, White, Female,0,0,30, Puerto-Rico, <=50K\n45, Private,480717, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,38, ?, <=50K\n61, Local-gov,34632, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n45, Private,140664, Assoc-acdm,12, Divorced, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K\n36, Local-gov,177858, Bachelors,13, Married-civ-spouse, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,160369, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,45, United-States, >50K\n38, Private,129102, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n52, Local-gov,278522, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Federal-gov,124953, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,42, United-States, >50K\n33, Private,63184, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,165815, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,248584, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n46, Local-gov,226871, Bachelors,13, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,50, United-States, >50K\n44, Private,267717, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,45, United-States, >50K\n19, Private,60367, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,13, United-States, <=50K\n44, Private,134120, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n40, Private,95639, HS-grad,9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n20, Private,132053, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,2, United-States, <=50K\n24, Private,138768, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n76, Private,203910, HS-grad,9, Widowed, Other-service, Not-in-family, White, Male,0,0,17, United-States, <=50K\n20, Private,109952, HS-grad,9, Married-civ-spouse, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K\n33, Private,155781, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n31, Private,49398, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,159303, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,248339, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n29, Private,190539, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1590,50, United-States, <=50K\n30, Private,183620, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n48, Private,25468, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,99999,0,50, United-States, >50K\n42, Private,201495, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,52221, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-inc,96460, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K\n42, Private,325353, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,42, United-States, >50K\n28, Self-emp-not-inc,176027, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K\n42, Local-gov,266135, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, >50K\n60, State-gov,194252, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,3103,0,40, United-States, >50K\n76, ?,164835, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n21, Private,363192, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,31360, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,63503, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,157614, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,0,38, United-States, <=50K\n45, Private,160647, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,4687,0,35, United-States, >50K\n38, Private,363395, Some-college,10, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,338376, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n29, Private,87523, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,280714, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-inc,119565, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n36, Local-gov,171482, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, >50K\n40, Self-emp-inc,49249, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,331552, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n45, Private,174426, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,184105, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,28, United-States, <=50K\n29, Private,37933, Bachelors,13, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,291529, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,13, United-States, >50K\n23, Private,376416, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,263612, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, Haiti, <=50K\n23, Private,227471, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K\n39, Private,191103, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,35644, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n43, Self-emp-not-inc,227298, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n25, State-gov,187508, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,184378, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Puerto-Rico, <=50K\n52, Self-emp-not-inc,190333, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,25, United-States, <=50K\n48, Private,155372, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,36, United-States, <=50K\n37, Private,259882, Assoc-voc,11, Never-married, Sales, Unmarried, Black, Female,0,0,6, United-States, <=50K\n36, Private,217077, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,103596, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,188236, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n24, Private,353010, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,10, United-States, <=50K\n42, Local-gov,70655, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-inc,64874, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Federal-gov,219240, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,22, United-States, <=50K\n50, Self-emp-inc,104849, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n40, Private,173590, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,412316, HS-grad,9, Never-married, Sales, Other-relative, Black, Male,0,0,40, ?, <=50K\n57, Self-emp-inc,195835, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,170579, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n61, Federal-gov,230545, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, Puerto-Rico, <=50K\n71, Private,162297, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,20, United-States, <=50K\n47, Private,169549, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,117528, Bachelors,13, Never-married, Other-service, Other-relative, White, Female,0,0,45, United-States, <=50K\n25, Private,273876, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K\n33, Private,529104, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n40, State-gov,456110, 11th,7, Divorced, Transport-moving, Unmarried, White, Female,0,0,52, United-States, <=50K\n39, ?,180868, 11th,7, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n29, Private,170301, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,2829,0,40, United-States, <=50K\n33, Private,55717, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,166181, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,36, United-States, <=50K\n24, Private,52242, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n28, Private,224629, Masters,14, Never-married, Exec-managerial, Not-in-family, Other, Male,0,0,30, Cuba, <=50K\n20, Private,197997, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,46144, Some-college,10, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, State-gov,180871, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, <=50K\n25, Private,212311, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Private,232874, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,175999, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,177121, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,58, United-States, <=50K\n57, Private,299358, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,1719,25, United-States, <=50K\n20, ?,326624, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n56, Private,129836, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,10, United-States, <=50K\n24, Private,225515, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Private,145664, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K\n37, Private,151764, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,183523, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,257869, Some-college,10, Separated, Other-service, Not-in-family, White, Male,0,0,28, Columbia, <=50K\n40, Private,73025, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,30, China, <=50K\n18, Private,165532, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n51, Federal-gov,140035, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-not-inc,325159, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n64, Federal-gov,161926, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,8, United-States, <=50K\n24, Private,163665, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,2174,0,40, United-States, <=50K\n33, Private,106938, HS-grad,9, Married-civ-spouse, Tech-support, Wife, Black, Female,0,0,38, United-States, <=50K\n31, Private,97453, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Local-gov,242464, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,3103,0,40, United-States, >50K\n54, Private,155233, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,14084,0,40, United-States, >50K\n31, Private,248653, 1st-4th,2, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,37, Mexico, <=50K\n39, Private,59313, 12th,8, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male,0,0,45, ?, <=50K\n22, Private,141297, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,227325, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n68, Private,123653, 5th-6th,3, Separated, Other-service, Not-in-family, White, Male,0,0,12, Italy, <=50K\n59, Federal-gov,176317, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K\n35, Self-emp-not-inc,77146, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,45, United-States, <=50K\n25, Private,169124, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,179413, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n35, Private,180137, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, <=50K\n17, State-gov,179319, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n19, Private,45766, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K\n53, Private,152810, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,55, United-States, >50K\n59, Private,214052, 5th-6th,3, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,201141, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,37, United-States, <=50K\n74, Self-emp-not-inc,43599, HS-grad,9, Widowed, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n28, Private,292536, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n40, Private,82161, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,180656, Some-college,10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K\n20, Private,181370, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n80, Private,148623, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n51, Private,84399, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n17, Private,143331, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n37, Federal-gov,48779, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,175495, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,24, United-States, <=50K\n58, Private,83542, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,214619, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,160035, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Federal-gov,39603, Some-college,10, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n36, Private,181589, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,32, Columbia, <=50K\n33, Private,261511, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,29522, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n30, Private,36340, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,24, United-States, <=50K\n41, Private,320984, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,65, United-States, >50K\n57, ?,403625, Some-college,10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,60, United-States, >50K\n23, Private,122346, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,105794, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,14084,0,50, United-States, >50K\n53, Private,152883, HS-grad,9, Widowed, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n31, State-gov,123037, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,13, United-States, <=50K\n41, ?,339682, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Mexico, <=50K\n36, Private,182074, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n30, Private,248588, 12th,8, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,187584, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Canada, <=50K\n36, Private,46706, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,190290, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n48, Self-emp-not-inc,247294, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, Peru, <=50K\n22, Private,117779, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,121602, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,451744, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Private,107793, HS-grad,9, Divorced, Other-service, Own-child, White, Male,2174,0,40, United-States, <=50K\n35, Private,339772, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n21, Private,185582, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,43, United-States, <=50K\n26, Private,260614, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n19, Local-gov,53220, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n43, Private,213844, HS-grad,9, Married-AF-spouse, Craft-repair, Wife, Black, Female,0,0,42, United-States, >50K\n33, Private,213226, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n30, Private,58582, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,10, United-States, <=50K\n52, Private,193116, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n38, Local-gov,201410, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,190525, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,46, United-States, >50K\n57, Self-emp-not-inc,138285, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Iran, <=50K\n51, Private,111939, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n50, Private,109277, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n32, Private,331539, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, China, >50K\n32, Private,396745, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,48, United-States, >50K\n37, Private,126675, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n69, Self-emp-not-inc,349022, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,33, United-States, <=50K\n33, ?,98145, Some-college,10, Divorced, ?, Unmarried, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K\n37, Private,234901, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Germany, >50K\n36, Private,100681, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,2463,0,40, United-States, <=50K\n47, Self-emp-not-inc,265097, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n63, Private,237379, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,44793, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,65, United-States, <=50K\n17, Private,270942, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,35, Mexico, <=50K\n56, Private,193622, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n90, Local-gov,187749, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,20, Philippines, <=50K\n27, Private,160178, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n38, Private,680390, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n33, Private,96245, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,34803, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,170091, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n42, Private,231813, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,23789, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, State-gov,438711, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K\n66, Private,169804, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,20051,0,40, United-States, >50K\n66, Local-gov,376506, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,3273,0,40, United-States, <=50K\n49, Private,28791, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,162814, HS-grad,9, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,45, United-States, <=50K\n38, Private,58108, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n40, Self-emp-inc,102226, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n22, Federal-gov,209131, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n46, Self-emp-not-inc,157117, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,172865, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n19, Private,29798, 12th,8, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,20, United-States, <=50K\n71, ?,229424, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Local-gov,80680, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,1151,0,35, United-States, <=50K\n52, Local-gov,238959, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,32, United-States, >50K\n27, Private,189462, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,46, United-States, <=50K\n52, Private,139347, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, <=50K\n31, Private,188108, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,4101,0,40, United-States, <=50K\n37, Self-emp-inc,111128, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,81540, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,257562, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n31, Private,59496, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,29974, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,102597, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n69, Private,41419, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n50, Private,118565, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n54, State-gov,312897, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,46, England, >50K\n17, Private,166290, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n34, Private,160261, HS-grad,9, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Male,14084,0,35, China, >50K\n32, Self-emp-not-inc,116834, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,5, ?, <=50K\n23, Private,203076, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n66, Private,201197, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n61, Private,273803, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,156797, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,283896, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,149368, HS-grad,9, Divorced, Sales, Unmarried, White, Male,1151,0,30, United-States, <=50K\n49, Private,156926, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n21, ?,163911, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,3, United-States, <=50K\n56, Self-emp-inc,165881, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,86872, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,167523, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Private,154950, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n40, Federal-gov,171231, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K\n62, Private,244933, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n54, Private,256908, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,25, United-States, >50K\n34, Self-emp-not-inc,33442, Assoc-voc,11, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n18, Private,126142, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K\n28, ?,268222, 11th,7, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n32, Private,167106, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Hong, <=50K\n22, Local-gov,50065, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n34, State-gov,252529, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K\n53, ?,199665, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K\n47, Private,343579, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n19, Private,190817, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-inc,151089, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,55, United-States, >50K\n46, Private,186820, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,5013,0,40, United-States, <=50K\n56, Self-emp-not-inc,210731, 7th-8th,4, Divorced, Sales, Other-relative, White, Male,0,0,20, Mexico, <=50K\n42, Private,123816, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n25, Private,77071, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,2339,35, United-States, <=50K\n42, Private,115085, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n43, Private,170525, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,14344,0,40, United-States, >50K\n17, Private,209949, 11th,7, Never-married, Sales, Own-child, White, Female,0,1602,12, United-States, <=50K\n57, Self-emp-not-inc,34297, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,180985, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n62, Local-gov,33365, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,40, Canada, <=50K\n20, Private,197752, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,16, United-States, <=50K\n47, Private,180551, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,77975, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,159297, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,40, ?, >50K\n48, Private,94342, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n39, Self-emp-inc,34180, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n46, Local-gov,367251, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n72, Self-emp-inc,172407, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n53, Private,303462, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K\n47, Federal-gov,220269, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-not-inc,45093, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, Canada, <=50K\n34, Private,101709, HS-grad,9, Separated, Transport-moving, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n41, Private,219591, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,76625, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,342599, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n42, Self-emp-inc,125846, 1st-4th,2, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, ?, <=50K\n54, Local-gov,238257, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n39, Self-emp-inc,206253, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n37, Private,172571, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Private,95165, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n69, Private,141181, 5th-6th,3, Married-civ-spouse, Adm-clerical, Husband, White, Male,1797,0,40, United-States, <=50K\n24, Private,267843, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,35, United-States, <=50K\n36, Private,181382, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K\n21, ?,207782, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n68, ?,103161, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,32, United-States, <=50K\n20, Private,132320, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Self-emp-not-inc,201138, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n48, Private,239058, 12th,8, Widowed, Handlers-cleaners, Unmarried, White, Female,0,0,50, United-States, <=50K\n39, Self-emp-inc,239755, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K\n21, Private,176262, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,18, United-States, <=50K\n22, Private,264738, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Female,0,0,42, Germany, <=50K\n34, Private,182218, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,318982, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n46, Private,216666, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Guatemala, <=50K\n47, Private,274200, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n65, Private,150095, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,192978, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,68021, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n34, Self-emp-not-inc,28568, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K\n20, Private,115057, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,139568, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-inc,138497, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n40, State-gov,182460, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,38, China, >50K\n22, Private,253310, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,7, United-States, <=50K\n29, Self-emp-inc,130856, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n31, Self-emp-not-inc,389765, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n42, Federal-gov,52781, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n38, Private,146178, HS-grad,9, Never-married, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n22, Private,231053, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,70, United-States, >50K\n21, ?,145964, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,483450, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Mexico, <=50K\n43, Self-emp-inc,198316, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,160614, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n17, Self-emp-inc,325171, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K\n54, Self-emp-not-inc,172898, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,50, United-States, >50K\n45, Private,186473, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Local-gov,286967, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n51, Self-emp-not-inc,111939, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, >50K\n65, Federal-gov,325089, 10th,6, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n21, Private,143582, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,45, United-States, <=50K\n40, Private,308027, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n58, Private,105060, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K\n53, Federal-gov,39643, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,58, United-States, <=50K\n39, Private,186191, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,50, United-States, >50K\n56, Local-gov,267763, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,124293, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n44, Private,36271, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,143459, 9th,5, Separated, Handlers-cleaners, Own-child, White, Male,0,0,38, United-States, <=50K\n36, Private,186376, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K\n59, Self-emp-inc,52822, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n33, Private,104509, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,184456, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,27828,0,50, United-States, >50K\n26, Private,192302, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, <=50K\n22, Private,156822, 10th,6, Never-married, Sales, Not-in-family, White, Female,0,1762,25, United-States, <=50K\n25, Private,214413, Masters,14, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,108574, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,15, United-States, <=50K\n41, Private,223934, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n45, Private,200559, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n43, Private,137722, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,261677, 9th,5, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K\n33, Private,136331, HS-grad,9, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n34, Private,329993, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,91819, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n31, Private,201122, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,45, United-States, >50K\n48, Private,315423, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,103277, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n47, Private,236805, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,60, United-States, <=50K\n27, Private,74883, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n18, Private,115443, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,25, United-States, <=50K\n43, Private,150528, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,43701, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n37, Federal-gov,419053, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,183594, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n24, Private,390348, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,36989, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,3908,0,70, United-States, <=50K\n48, Private,247895, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n75, Private,191446, 1st-4th,2, Married-civ-spouse, Other-service, Other-relative, Black, Female,0,0,16, United-States, <=50K\n43, Self-emp-not-inc,33521, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, >50K\n64, Private,46087, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n67, ?,129188, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,20051,0,5, United-States, >50K\n36, Private,356824, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Private,158746, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,153323, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,20, United-States, <=50K\n73, Self-emp-not-inc,130391, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,36, United-States, <=50K\n46, Private,173613, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,362883, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n43, Private,182757, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,50397, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K\n43, Federal-gov,101709, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n21, Private,202570, 12th,8, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,48, ?, <=50K\n40, Private,145649, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K\n36, Private,136343, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n64, Self-emp-inc,142166, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n19, ?,242001, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Private,127089, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,38, United-States, >50K\n46, Local-gov,124071, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,65, United-States, >50K\n41, Local-gov,190368, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K\n29, ?,19793, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,8, United-States, <=50K\n28, Private,67661, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n23, Private,62278, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n30, Federal-gov,295010, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,0,0,60, United-States, >50K\n44, Private,203897, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, Cuba, <=50K\n27, Private,265314, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,159603, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,34, United-States, <=50K\n29, Private,134331, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,123011, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Poland, >50K\n27, Private,274964, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K\n34, Private,66309, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n38, Private,73471, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n24, ?,26671, HS-grad,9, Never-married, ?, Other-relative, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n56, Private,357118, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n35, Self-emp-inc,184655, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,62, United-States, <=50K\n23, ?,55492, Assoc-voc,11, Never-married, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,30, United-States, <=50K\n23, Private,175266, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,188008, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n42, Private,87284, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,35, United-States, >50K\n46, Private,330087, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K\n48, Self-emp-inc,56975, HS-grad,9, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female,0,0,84, ?, <=50K\n27, Private,150025, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K\n22, ?,189203, Assoc-acdm,12, Never-married, ?, Other-relative, White, Male,0,0,15, United-States, <=50K\n49, Self-emp-inc,330874, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n23, Private,136824, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n24, Private,201179, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,324654, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n25, Federal-gov,366207, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,103860, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n22, Private,106700, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,27, United-States, <=50K\n54, Local-gov,163557, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n39, Self-emp-inc,286261, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,123083, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n75, Self-emp-inc,125197, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,26, United-States, <=50K\n28, Self-emp-not-inc,278073, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,30, United-States, <=50K\n50, Private,133963, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n62, Self-emp-not-inc,71467, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n40, Private,76487, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n58, Local-gov,215245, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,37, United-States, <=50K\n24, Federal-gov,127185, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n21, Private,179720, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K\n40, Private,88909, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n45, Private,341995, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,42, United-States, >50K\n48, Private,173938, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,344275, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K\n23, Private,150463, HS-grad,9, Never-married, Priv-house-serv, Unmarried, Other, Female,0,0,40, Guatemala, <=50K\n43, Local-gov,209544, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,10520,0,50, United-States, >50K\n42, Local-gov,201723, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,343476, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, Japan, >50K\n52, Self-emp-inc,77392, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n21, ?,171156, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n56, Self-emp-not-inc,357118, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K\n48, Federal-gov,167749, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n37, Self-emp-not-inc,352882, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,70, South, >50K\n25, Private,51201, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n40, Private,365986, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, >50K\n34, Private,400416, 11th,7, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,45, United-States, <=50K\n52, Private,31533, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,106900, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,1902,42, United-States, >50K\n36, Local-gov,192337, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,118712, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,1504,40, United-States, <=50K\n28, Private,301654, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,145162, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, ?, >50K\n20, Private,88126, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,9, England, <=50K\n68, Private,165017, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Italy, >50K\n35, Private,238342, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,857532, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K\n64, Private,134378, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,260797, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,23, United-States, <=50K\n25, Private,138765, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n74, ?,256674, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n31, Private,247444, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Columbia, <=50K\n51, State-gov,454063, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n67, Private,180539, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,10, United-States, <=50K\n42, Private,397346, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n29, Private,107160, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,262024, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n21, Private,131230, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,37, United-States, <=50K\n67, Private,274451, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, United-States, <=50K\n41, State-gov,365986, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K\n27, Private,204515, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,36, United-States, <=50K\n51, Private,99316, 12th,8, Divorced, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K\n21, ?,206681, 11th,7, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n28, Private,268726, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K\n21, Private,275395, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,383322, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,126822, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K\n39, Self-emp-inc,168355, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n21, Private,162667, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, Columbia, <=50K\n43, Private,373403, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,274562, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,14344,0,40, United-States, >50K\n28, Private,249362, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n31, Private,111567, 9th,5, Never-married, Sales, Not-in-family, White, Male,0,0,43, United-States, >50K\n18, ?,216508, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n27, Private,145784, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0,0,45, United-States, <=50K\n34, State-gov,209317, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,259505, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,345360, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, England, <=50K\n43, Local-gov,198096, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n40, Self-emp-inc,33126, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n21, Private,206354, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K\n25, Private,1484705, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,25, United-States, <=50K\n21, Private,26410, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Self-emp-not-inc,220901, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K\n49, Self-emp-inc,44671, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,38620, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n36, Private,89040, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,47, United-States, <=50K\n32, Private,370160, Some-college,10, Separated, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,208946, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,32, United-States, <=50K\n21, Private,131230, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,10, United-States, <=50K\n25, Private,60358, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,350853, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, ?, <=50K\n24, Private,209782, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,351952, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K\n26, Private,142081, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Mexico, <=50K\n22, Private,164775, 9th,5, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, Guatemala, <=50K\n41, Local-gov,47858, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,404085, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n24, Private,218678, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,184655, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,48, United-States, <=50K\n36, Private,321760, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,17, United-States, <=50K\n45, Local-gov,185399, Masters,14, Divorced, Prof-specialty, Own-child, White, Female,0,0,55, United-States, <=50K\n38, Local-gov,409200, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,40077, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n34, Self-emp-not-inc,31740, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Local-gov,233722, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n32, Private,192039, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n17, Private,222618, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,30, United-States, <=50K\n45, State-gov,213646, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n31, Local-gov,194141, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, <=50K\n47, State-gov,80282, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n27, Private,166350, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n61, Federal-gov,60641, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K\n33, Private,124827, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n67, Private,105438, HS-grad,9, Separated, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K\n38, Private,85244, Bachelors,13, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,120535, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Local-gov,269604, 5th-6th,3, Never-married, Other-service, Unmarried, Other, Female,0,0,40, El-Salvador, <=50K\n27, Private,247711, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n45, Private,380922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n24, Private,281221, Bachelors,13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, Taiwan, <=50K\n23, Private,269687, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,181758, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n61, Federal-gov,136787, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,107882, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n34, Private,172579, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,29933, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,40, United-States, >50K\n35, Federal-gov,38905, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n36, Private,168826, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,424034, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n60, Private,117509, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, ?,196971, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,43, United-States, <=50K\n64, Private,69525, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,20, United-States, <=50K\n22, Private,374116, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n27, Private,283913, 5th-6th,3, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,65, England, <=50K\n36, State-gov,147258, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n27, Private,139903, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,30, United-States, <=50K\n52, Private,112959, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,264148, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n23, Private,256211, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,24, Vietnam, <=50K\n29, Self-emp-not-inc,142519, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,281852, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,80, United-States, <=50K\n38, Private,380543, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n50, Self-emp-not-inc,204402, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, >50K\n50, Private,192203, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,199005, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n17, Self-emp-inc,61838, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,210095, 11th,7, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n19, Private,187352, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,32451, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,140569, Some-college,10, Separated, Sales, Not-in-family, White, Male,14084,0,60, United-States, >50K\n39, Private,87556, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,6849,0,40, United-States, <=50K\n18, Private,79443, 9th,5, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K\n27, Private,212622, Masters,14, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,32650, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K\n44, Private,125461, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,219867, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K\n32, Local-gov,206609, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Private,101299, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,29437, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n65, Private,87164, 11th,7, Widowed, Sales, Other-relative, White, Female,0,0,20, United-States, <=50K\n57, Self-emp-inc,146103, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n48, Private,169324, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,32, Haiti, <=50K\n46, Private,138370, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,1651,40, China, <=50K\n27, Private,29523, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n29, Local-gov,383745, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1485,40, United-States, >50K\n21, ?,247075, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,25, United-States, <=50K\n20, ?,200967, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,12, United-States, <=50K\n51, ?,175985, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-inc,189404, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1740,40, United-States, <=50K\n29, Self-emp-not-inc,267661, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n30, Local-gov,182926, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,15024,0,40, United-States, >50K\n65, Private,243858, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K\n20, ?,43587, HS-grad,9, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n47, Federal-gov,31339, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,204682, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,2174,0,40, Japan, <=50K\n17, Private,73145, 9th,5, Never-married, Craft-repair, Own-child, White, Female,0,0,16, United-States, <=50K\n38, Local-gov,218184, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K\n38, Local-gov,223237, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n39, Self-emp-not-inc,93319, HS-grad,9, Never-married, Sales, Other-relative, White, Female,0,0,4, United-States, <=50K\n24, ?,212300, HS-grad,9, Separated, ?, Not-in-family, White, Female,0,0,38, United-States, <=50K\n52, Private,187356, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,41, United-States, <=50K\n46, Self-emp-not-inc,220832, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,58, United-States, >50K\n22, Private,211361, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K\n56, Private,134195, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n37, Self-emp-not-inc,218249, 11th,7, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,30, United-States, <=50K\n59, Private,70720, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,55, United-States, >50K\n19, Self-emp-not-inc,342384, 11th,7, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,2129,55, United-States, <=50K\n31, Private,237317, 9th,5, Never-married, Craft-repair, Not-in-family, Other, Male,0,0,45, United-States, <=50K\n22, Private,359759, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,20, Philippines, <=50K\n48, Self-emp-not-inc,181758, Doctorate,16, Never-married, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, >50K\n63, Self-emp-inc,267101, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n33, Private,222221, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K\n53, Private,55139, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,10, United-States, <=50K\n38, Private,220237, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, >50K\n39, Private,101073, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, <=50K\n59, Private,69884, Prof-school,15, Married-spouse-absent, Prof-specialty, Unmarried, White, Male,0,0,50, United-States, <=50K\n45, Private,201127, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,164733, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n60, State-gov,129447, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n38, Private,32837, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,56, United-States, <=50K\n31, Private,200117, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,219183, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n66, ?,188842, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K\n26, Private,272669, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,20, South, <=50K\n60, Self-emp-inc,336188, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,80, United-States, >50K\n68, ?,191288, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K\n32, Private,176185, Some-college,10, Divorced, Exec-managerial, Other-relative, White, Male,0,0,60, United-States, <=50K\n25, Local-gov,197728, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,20, United-States, <=50K\n43, Local-gov,144778, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, <=50K\n26, ?,133373, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,44, United-States, <=50K\n55, Private,197399, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, United-States, >50K\n66, Private,86010, 10th,6, Widowed, Transport-moving, Not-in-family, White, Female,0,0,11, United-States, <=50K\n31, Private,228873, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,187415, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,50, ?, <=50K\n58, Self-emp-inc,112945, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,27828,0,40, United-States, >50K\n56, Private,98361, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n22, Private,129172, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n46, Local-gov,316205, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n33, Private,226629, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K\n26, State-gov,180886, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n42, Self-emp-not-inc,69333, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n45, Private,213620, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Private,197397, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, Other, Female,0,0,6, Puerto-Rico, <=50K\n19, Private,223648, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, ?, <=50K\n27, Private,179915, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,99, United-States, <=50K\n51, Private,339905, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n42, Private,112956, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,421837, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, Mexico, >50K\n38, Private,187999, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n44, Private,77313, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,231948, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,64, United-States, >50K\n37, Private,37109, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,60, Philippines, <=50K\n29, Private,79387, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n53, ?,133963, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,177937, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,45, Poland, <=50K\n80, Private,173488, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n61, Private,183355, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,147989, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,52, United-States, <=50K\n20, Private,289944, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n23, Private,62278, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n48, Federal-gov,110457, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,295763, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,50, United-States, <=50K\n71, State-gov,100063, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n49, Private,194962, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,6, United-States, <=50K\n39, Federal-gov,227597, HS-grad,9, Never-married, Armed-Forces, Not-in-family, White, Male,0,0,50, United-States, <=50K\n22, Private,117606, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n67, Federal-gov,44774, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,177648, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n38, Private,172571, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,54, United-States, >50K\n38, ?,203482, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K\n50, Private,153931, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,84774, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,40, United-States, <=50K\n23, Private,157127, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n26, Private,170786, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,281030, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,203761, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,10520,0,40, United-States, >50K\n27, Private,167405, HS-grad,9, Married-spouse-absent, Farming-fishing, Own-child, White, Female,0,0,40, Mexico, <=50K\n40, Local-gov,188436, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,40, United-States, >50K\n43, Private,388849, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K\n31, State-gov,176998, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K\n57, Private,200316, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,160300, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K\n22, Private,236684, Assoc-voc,11, Never-married, Other-service, Own-child, Black, Female,0,0,36, United-States, <=50K\n20, Local-gov,247794, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n27, Private,267325, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,3464,0,40, United-States, <=50K\n39, Private,279490, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, Mexico, <=50K\n27, State-gov,280618, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,248406, HS-grad,9, Separated, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Local-gov,226494, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n41, Private,220460, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K\n25, Private,108317, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, State-gov,147256, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, >50K\n22, Private,110371, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K\n62, Private,114060, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,91, United-States, <=50K\n29, Federal-gov,31161, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Other, Female,0,0,40, United-States, <=50K\n44, Private,105862, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,70, United-States, >50K\n32, Private,402089, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,2, United-States, <=50K\n19, ?,425447, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n20, Private,137300, Assoc-voc,11, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n65, State-gov,326691, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K\n24, Private,275093, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,36, United-States, <=50K\n37, Self-emp-not-inc,112497, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n43, Local-gov,174491, HS-grad,9, Divorced, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,114835, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,60, United-States, >50K\n28, Private,137898, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n33, Private,153151, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,4416,0,40, United-States, <=50K\n32, Private,134886, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n38, Private,193815, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n33, Private,237833, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,101593, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n27, Private,164924, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,174201, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n47, Local-gov,36169, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n55, Private,144071, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n30, Self-emp-not-inc,180859, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,8, United-States, <=50K\n54, Private,221915, Some-college,10, Widowed, Craft-repair, Unmarried, White, Female,0,0,50, United-States, <=50K\n40, Private,26892, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,351084, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,97306, Bachelors,13, Divorced, Craft-repair, Unmarried, White, Female,0,0,25, United-States, <=50K\n30, Private,185027, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,182539, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n22, Private,215395, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,37, United-States, <=50K\n37, Private,186434, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, >50K\n41, ?,217921, 9th,5, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,40, Hong, <=50K\n52, Local-gov,346668, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n57, Self-emp-inc,412952, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,167009, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,48, United-States, <=50K\n58, Private,316000, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n35, Self-emp-not-inc,216256, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,341835, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n30, Private,169841, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n26, Self-emp-not-inc,200681, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Outlying-US(Guam-USVI-etc), <=50K\n46, Self-emp-not-inc,456956, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n26, Federal-gov,276075, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n50, Federal-gov,96657, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n22, Private,374313, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n36, Private,110998, Masters,14, Widowed, Tech-support, Unmarried, Asian-Pac-Islander, Female,0,0,40, India, <=50K\n30, Private,53285, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K\n58, Private,104613, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n17, ?,303317, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n72, Private,298070, Assoc-voc,11, Separated, Other-service, Unmarried, White, Female,6723,0,25, United-States, <=50K\n19, Private,318822, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,375078, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Mexico, <=50K\n20, ?,232799, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,25, United-States, <=50K\n30, Private,210851, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,213745, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K\n51, Private,204447, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n26, Private,318934, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,237386, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K\n44, Private,182629, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,24, Iran, <=50K\n43, Private,144778, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n35, Private,117166, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n51, Private,237630, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,50, United-States, >50K\n41, Private,171550, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,165302, Some-college,10, Divorced, Adm-clerical, Unmarried, Other, Female,0,0,40, United-States, <=50K\n39, State-gov,42186, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,3464,0,20, United-States, <=50K\n54, Private,284952, 10th,6, Separated, Sales, Unmarried, White, Female,0,0,43, Italy, <=50K\n62, Private,96099, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,198759, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n30, Private,227886, HS-grad,9, Never-married, Exec-managerial, Own-child, Black, Female,0,0,35, Jamaica, <=50K\n32, Private,391874, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Self-emp-not-inc,184370, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n84, Local-gov,135839, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,14, United-States, <=50K\n46, Private,194698, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,60, United-States, <=50K\n67, Local-gov,342175, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Female,2009,0,40, United-States, <=50K\n29, Private,67218, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,205152, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n23, Private,434467, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,42, United-States, <=50K\n63, ?,110150, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,55, United-States, >50K\n55, ?,123382, HS-grad,9, Separated, ?, Not-in-family, Black, Female,0,2001,40, United-States, <=50K\n42, State-gov,404573, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n17, Private,99462, 11th,7, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K\n60, Private,170310, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,199883, 12th,8, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,70034, 7th-8th,4, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, Portugal, <=50K\n31, Private,393357, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,48, United-States, <=50K\n65, ?,249043, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,10605,0,40, United-States, >50K\n31, Private,72630, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,14084,0,50, United-States, >50K\n61, Private,223133, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n43, State-gov,345969, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n40, State-gov,195520, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,49, United-States, <=50K\n39, Private,257942, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,269300, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,27, United-States, <=50K\n47, Private,137354, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n45, Federal-gov,232997, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K\n30, Private,77266, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n30, Self-emp-not-inc,164190, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Private,153536, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,14084,0,44, United-States, >50K\n51, Local-gov,26832, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,188096, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,72, United-States, >50K\n48, Self-emp-inc,369522, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, >50K\n20, Private,110998, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,30, United-States, <=50K\n32, Private,205152, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,40, United-States, >50K\n31, ?,163890, Some-college,10, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n19, Private,358631, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,25, United-States, <=50K\n50, Private,185354, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n33, Private,336061, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n25, ?,47011, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n49, Private,149949, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1876,40, United-States, <=50K\n30, Private,59496, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,32950, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,109912, Doctorate,16, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,32, United-States, >50K\n24, Private,199555, Assoc-voc,11, Never-married, Sales, Unmarried, White, Male,0,0,5, United-States, <=50K\n28, Private,91299, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,45, United-States, <=50K\n56, Private,99359, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,1617,40, United-States, <=50K\n38, Private,242559, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n20, Private,286391, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,2176,0,20, United-States, <=50K\n82, Private,132870, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,4356,18, United-States, <=50K\n52, Federal-gov,22428, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K\n32, Private,239150, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n37, Private,170563, Assoc-voc,11, Separated, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n36, Private,173542, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,286026, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,72887, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, Asian-Pac-Islander, Male,3411,0,40, United-States, <=50K\n49, Local-gov,163229, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, <=50K\n40, Local-gov,165726, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,70055, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,184655, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,139906, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,81, United-States, <=50K\n32, Local-gov,198211, Assoc-voc,11, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,146540, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n53, Local-gov,132304, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,190916, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Never-worked,237272, 10th,6, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n44, Private,755858, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, >50K\n52, Private,127315, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n42, State-gov,304302, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n34, Private,184942, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,267989, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,188377, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, State-gov,221059, Masters,14, Married-civ-spouse, Prof-specialty, Other-relative, Other, Female,7688,0,38, United-States, >50K\n26, Private,340787, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,140782, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,38, United-States, >50K\n57, Private,169071, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,28, United-States, <=50K\n36, Self-emp-not-inc,151094, Assoc-voc,11, Separated, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K\n27, Private,122922, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,151141, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n30, Private,136651, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n37, Private,177285, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,48, United-States, >50K\n31, Local-gov,128016, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,200318, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n32, Private,250354, 10th,6, Never-married, Craft-repair, Other-relative, White, Male,0,0,45, United-States, <=50K\n58, Private,191069, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,27856, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,8, United-States, <=50K\n44, Private,523484, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n39, Federal-gov,257175, Bachelors,13, Divorced, Tech-support, Unmarried, Black, Female,0,625,40, United-States, <=50K\n59, Private,174864, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,45, United-States, >50K\n42, Private,196029, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K\n45, Private,200471, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K\n20, Private,353195, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n35, Private,222868, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,221791, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, <=50K\n56, Private,197114, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,28, United-States, <=50K\n48, Private,160220, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n58, Self-emp-not-inc,274917, Masters,14, Widowed, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K\n32, Private,348460, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,112683, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K\n48, Private,345831, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,105370, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,70, United-States, <=50K\n48, Private,345006, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Mexico, <=50K\n55, Private,195329, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,2202,0,35, Italy, <=50K\n40, Local-gov,108765, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n50, Private,138022, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,175029, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n19, Private,189574, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n55, Self-emp-not-inc,141409, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n36, Self-emp-not-inc,186035, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K\n39, Private,165235, Bachelors,13, Separated, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K\n22, Private,105043, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,230684, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n34, Private,345705, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1408,38, United-States, <=50K\n33, Private,248584, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n55, Private,436861, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,14084,0,40, United-States, >50K\n35, Private,200153, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n50, Private,398625, 11th,7, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,114043, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n29, Private,169544, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Private,343849, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Private,162572, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K\n24, Private,291578, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,136162, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, Self-emp-inc,376133, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,15024,0,15, United-States, >50K\n48, Self-emp-inc,302612, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n65, Local-gov,240166, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n29, Private,193152, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,1408,40, United-States, <=50K\n42, Private,248094, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1740,43, United-States, <=50K\n44, Private,119281, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n73, Self-emp-not-inc,300404, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,6, United-States, >50K\n21, Private,82847, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K\n32, Self-emp-inc,161153, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1902,55, United-States, >50K\n43, Federal-gov,287008, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,35, United-States, >50K\n21, Private,654141, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,32, United-States, <=50K\n30, Private,252646, Some-college,10, Separated, Transport-moving, Not-in-family, White, Male,0,0,20, United-States, <=50K\n54, Private,171924, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, <=50K\n19, Private,219742, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n55, State-gov,153788, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,37, United-States, <=50K\n20, Private,60639, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,28, United-States, <=50K\n53, Private,96062, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Greece, <=50K\n51, Private,165614, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K\n33, Private,159888, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,110586, Some-college,10, Widowed, Priv-house-serv, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Self-emp-not-inc,143062, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n17, Self-emp-inc,413557, 9th,5, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,137658, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n36, Private,398931, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,311764, 10th,6, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, <=50K\n58, Private,98725, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n38, Private,140854, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n72, Private,97304, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male,2346,0,40, ?, <=50K\n26, Federal-gov,352768, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n45, ?,27184, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,38, United-States, <=50K\n72, ?,237229, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n60, Private,142494, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n27, Private,210313, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Guatemala, <=50K\n38, Private,194538, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K\n37, Self-emp-inc,26698, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1485,44, United-States, >50K\n28, Private,211032, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-inc,107909, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,136077, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n19, Private,184737, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,1721,40, United-States, <=50K\n28, Private,214689, Bachelors,13, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,25, United-States, <=50K\n70, ?,147558, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,7, United-States, <=50K\n40, Self-emp-not-inc,93793, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,247025, Assoc-voc,11, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,284403, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, <=50K\n29, Private,221977, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n25, Federal-gov,339956, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Private,161097, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K\n60, Private,223696, 1st-4th,2, Divorced, Craft-repair, Not-in-family, Other, Male,0,0,38, Dominican-Republic, <=50K\n31, Private,234500, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n51, Local-gov,97005, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,242615, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n36, Private,174938, Bachelors,13, Divorced, Tech-support, Unmarried, White, Male,0,0,20, United-States, <=50K\n35, Private,160120, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n48, Private,193775, Bachelors,13, Divorced, Adm-clerical, Own-child, White, Male,0,0,38, United-States, >50K\n78, Self-emp-not-inc,59583, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K\n72, Private,157913, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,17, United-States, <=50K\n24, Private,308205, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n58, ?,158506, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K\n36, Private,201769, 11th,7, Never-married, Protective-serv, Not-in-family, Black, Male,13550,0,40, United-States, >50K\n48, Private,330470, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K\n28, Private,184078, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,123384, Masters,14, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,330132, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n47, Private,274720, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, Jamaica, <=50K\n50, Private,129673, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n35, Federal-gov,205584, 5th-6th,3, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n17, Private,327127, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K\n41, Private,225892, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n37, Private,224886, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,42, United-States, <=50K\n35, Local-gov,27763, HS-grad,9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n56, Private,73684, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K\n23, Private,107452, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,23871, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n79, Self-emp-inc,309272, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,469864, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n55, Private,286230, 11th,7, Divorced, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n59, State-gov,186308, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n22, Private,113062, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,86150, 11th,7, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,19, Philippines, <=50K\n41, Private,262038, 5th-6th,3, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,35, Mexico, <=50K\n32, Private,279231, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Italy, <=50K\n67, ?,188903, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,2414,0,40, United-States, <=50K\n45, Private,183786, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n61, Private,339358, 5th-6th,3, Married-civ-spouse, Farming-fishing, Other-relative, White, Female,0,0,45, Mexico, <=50K\n34, Private,287737, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,99203, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,297449, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,50, United-States, >50K\n35, Private,113481, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n65, Private,204042, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,20, United-States, <=50K\n24, Private,43387, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, England, >50K\n37, Private,99233, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,313729, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n42, Private,99679, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n18, Private,169745, 7th-8th,4, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Federal-gov,19914, Some-college,10, Widowed, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,15, United-States, <=50K\n31, Private,113543, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,224241, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n40, Self-emp-inc,137367, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, China, <=50K\n32, Private,263908, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,280798, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n32, Local-gov,203849, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-inc,62546, Doctorate,16, Separated, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n40, Private,197344, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n36, Private,93225, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n33, Private,187560, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,36, United-States, <=50K\n23, State-gov,61743, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,35, United-States, <=50K\n21, Private,186648, 10th,6, Separated, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,173321, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,32, United-States, <=50K\n53, State-gov,246820, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n20, ?,424034, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K\n53, Self-emp-not-inc,291755, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,72, United-States, <=50K\n58, Private,104945, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,60, United-States, <=50K\n51, Private,85423, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n31, Private,214235, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,65, United-States, <=50K\n35, Self-emp-not-inc,278632, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, ?,27415, 11th,7, Never-married, ?, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n31, Local-gov,143392, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n21, Private,277408, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n39, Self-emp-not-inc,336793, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n36, Private,184112, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,45, United-States, >50K\n51, Private,74660, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,395026, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n32, Private,171215, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K\n56, Private,121362, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K\n35, Private,409200, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n63, Private,268965, 12th,8, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n61, Private,136262, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,141323, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Local-gov,108083, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n19, Private,82210, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n33, State-gov,400943, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n35, Private,308489, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,50, United-States, <=50K\n35, Private,187053, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Female,0,0,60, United-States, >50K\n38, Private,75826, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n23, Private,413345, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n22, Private,356567, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Male,0,0,60, United-States, <=50K\n20, Private,223811, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,159313, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,250170, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K\n59, Private,135617, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,187346, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,108103, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,255476, 5th-6th,3, Never-married, Other-service, Other-relative, White, Male,0,0,40, Mexico, <=50K\n24, Private,68577, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,155961, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,35, Jamaica, <=50K\n22, State-gov,264102, Some-college,10, Never-married, Other-service, Other-relative, Black, Male,0,0,39, Haiti, <=50K\n37, Private,167777, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,52, United-States, <=50K\n36, Private,225399, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n28, Private,199998, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n55, Private,199856, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K\n29, ?,189765, 5th-6th,3, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n32, Private,193042, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n66, ?,222810, Some-college,10, Divorced, ?, Other-relative, White, Female,0,0,35, United-States, <=50K\n47, Local-gov,162595, Some-college,10, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,45, United-States, <=50K\n23, Private,208826, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Local-gov,120190, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n40, Self-emp-not-inc,27242, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K\n51, Private,348099, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,1590,40, United-States, <=50K\n34, Private,185041, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,1669,45, United-States, <=50K\n28, Private,309196, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, State-gov,254285, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,70, Germany, >50K\n39, Self-emp-inc,336226, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,60, United-States, >50K\n43, Private,240698, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,411797, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, >50K\n25, Private,178843, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K\n42, Private,136177, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n35, Private,243409, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Germany, <=50K\n43, Private,258049, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,53, United-States, >50K\n34, Private,164748, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, State-gov,24185, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K\n30, Private,167476, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n44, Private,106900, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K\n52, Private,53497, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,335704, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n36, Private,211022, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n30, Private,163003, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,52, Taiwan, <=50K\n36, Self-emp-inc,77146, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K\n39, Private,67433, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,458549, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,96, Mexico, <=50K\n26, Private,190469, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,195411, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n20, Private,216889, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n70, ?,336007, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n26, Private,167350, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K\n24, Private,241857, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n48, Private,125892, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n62, Private,272209, HS-grad,9, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,99, United-States, <=50K\n48, Private,175221, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,180195, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,38090, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,44, United-States, <=50K\n58, Private,310085, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n40, Federal-gov,118686, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n29, ?,112963, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-inc,120131, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, ?, <=50K\n19, Private,43937, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K\n37, Private,210438, 11th,7, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n23, Private,176724, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n31, Self-emp-not-inc,113364, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n64, Self-emp-not-inc,73986, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n28, Local-gov,197932, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K\n32, Private,193285, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Local-gov,223342, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K\n35, Private,49749, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K\n19, ?,211553, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n45, Private,201865, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n39, Private,322143, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,70, United-States, >50K\n55, Private,158702, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,2339,45, ?, <=50K\n46, Self-emp-not-inc,275625, Bachelors,13, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,60, South, >50K\n19, Private,206599, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K\n29, Private,89813, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Scotland, <=50K\n25, State-gov,156848, HS-grad,9, Married-civ-spouse, Protective-serv, Own-child, White, Male,0,0,35, United-States, <=50K\n37, Private,162494, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,205407, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n28, Private,375313, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n36, Federal-gov,930948, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,6497,0,56, United-States, <=50K\n32, Private,127895, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,35, United-States, <=50K\n34, Private,248754, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,188096, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,36, United-States, <=50K\n20, Private,216811, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Self-emp-inc,113870, Masters,14, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Federal-gov,343052, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n35, Private,280966, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,42044, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K\n32, Private,309513, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,163604, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n52, Private,224198, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K\n50, Private,338283, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,242375, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n25, Private,81286, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n21, Private,243368, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, Mexico, <=50K\n31, Private,217803, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K\n31, Self-emp-not-inc,323020, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K\n41, Private,34278, Assoc-voc,11, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,184579, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, <=50K\n20, ?,210781, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K\n20, Private,142673, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n29, Private,131714, 10th,6, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,25, United-States, <=50K\n51, Local-gov,74784, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Local-gov,181372, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,33, United-States, >50K\n23, ?,62507, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K\n48, Private,155664, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, >50K\n39, Private,174924, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Male,14344,0,40, United-States, >50K\n62, Private,113440, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n22, Private,147227, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n46, Federal-gov,207022, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n51, Local-gov,123011, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,35, United-States, >50K\n20, Private,184678, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K\n40, Self-emp-inc,182437, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n31, Private,98639, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,174201, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Private,123780, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, <=50K\n20, Private,374116, HS-grad,9, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K\n37, Local-gov,212005, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n65, Private,123965, Bachelors,13, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,242619, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n60, Local-gov,138502, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,48, United-States, >50K\n27, Private,113635, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, Ireland, <=50K\n62, Private,664366, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n53, Private,218311, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n38, Private,278557, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n49, Private,314773, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,194861, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,400616, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,208117, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, <=50K\n36, Private,184498, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,117674, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n19, Private,162621, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,14, United-States, <=50K\n23, Private,368739, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n63, Self-emp-not-inc,196994, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K\n63, Self-emp-not-inc,420629, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K\n62, Self-emp-inc,245491, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,99999,0,40, United-States, >50K\n51, Self-emp-not-inc,276456, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,3103,0,30, United-States, >50K\n76, Local-gov,169133, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n50, Private,99307, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,45, United-States, <=50K\n45, Self-emp-inc,120131, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n44, Self-emp-inc,456236, Some-college,10, Divorced, Sales, Own-child, White, Male,0,0,45, United-States, >50K\n51, Private,107123, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n42, Local-gov,125461, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,4650,0,35, United-States, <=50K\n43, Local-gov,36924, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,167065, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,53642, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,154668, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n44, Federal-gov,102238, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n35, Private,54595, 10th,6, Widowed, Other-service, Not-in-family, Black, Female,0,1980,40, United-States, <=50K\n27, Private,152951, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,257042, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n60, Private,74243, Assoc-voc,11, Widowed, Craft-repair, Not-in-family, White, Female,0,0,30, United-States, <=50K\n49, Private,149049, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,14344,0,45, United-States, >50K\n33, Private,117186, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,178322, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n31, State-gov,286911, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K\n54, Private,203635, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,60, United-States, >50K\n57, Self-emp-not-inc,177271, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n30, Private,149427, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K\n45, Private,101656, 10th,6, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n41, Private,274363, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,42, United-States, >50K\n25, Private,241025, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K\n51, Self-emp-inc,338836, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,210534, 5th-6th,3, Separated, Adm-clerical, Other-relative, White, Male,0,0,40, El-Salvador, <=50K\n28, Private,95725, Assoc-voc,11, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K\n47, ?,178013, 10th,6, Married-civ-spouse, ?, Wife, White, Female,0,0,20, Cuba, <=50K\n53, Federal-gov,167410, Bachelors,13, Divorced, Tech-support, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n31, Private,158162, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,13550,0,50, United-States, >50K\n46, Private,241935, 11th,7, Married-civ-spouse, Other-service, Husband, Black, Male,7688,0,40, United-States, >50K\n25, Federal-gov,406955, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n47, Private,341762, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,239303, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, <=50K\n30, Private,38848, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,54744, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,332194, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,154950, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n33, Self-emp-not-inc,196342, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n31, Private,201292, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,339767, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,20, England, >50K\n26, Private,250066, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,318886, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K\n50, Local-gov,124076, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n30, State-gov,242122, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n17, Private,34019, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n35, Local-gov,230754, Masters,14, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n29, Private,213842, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Federal-gov,196386, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,4064,0,40, El-Salvador, <=50K\n32, Self-emp-not-inc,62165, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, ?, <=50K\n34, Private,134737, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, >50K\n32, Private,515629, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Federal-gov,119199, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Private,90222, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,28443, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,159442, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, Ireland, <=50K\n54, Private,315804, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,135840, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n38, Private,81232, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K\n43, Private,118001, 7th-8th,4, Separated, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n25, Private,207875, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n39, Private,164898, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n57, Local-gov,170066, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, United-States, >50K\n47, Private,111994, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,34, United-States, <=50K\n45, Private,166636, HS-grad,9, Divorced, Other-service, Other-relative, Black, Female,0,0,35, United-States, <=50K\n24, State-gov,61737, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,241885, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,234190, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K\n57, Private,230899, 5th-6th,3, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,114158, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,24, United-States, >50K\n28, Private,222442, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,51, Cuba, <=50K\n27, Private,157612, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K\n28, Private,199903, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n74, ?,292627, 1st-4th,2, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,156687, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,42, Japan, <=50K\n27, Private,369522, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,45, United-States, <=50K\n61, Private,226297, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,356017, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,99, United-States, <=50K\n28, Private,189257, 9th,5, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,24, United-States, <=50K\n20, Private,157541, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,69251, Assoc-voc,11, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n38, State-gov,272944, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,113667, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K\n40, Private,222011, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K\n43, Private,191196, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n38, Private,169104, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n19, Private,146679, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Male,0,0,30, United-States, <=50K\n56, Private,226985, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,153066, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n30, ?,159303, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,4, United-States, <=50K\n22, Private,200109, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, White, Female,4508,0,40, United-States, <=50K\n18, State-gov,109445, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n68, Private,99491, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n35, Private,172571, Assoc-voc,11, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n42, Private,143582, 7th-8th,4, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,48, ?, <=50K\n32, Private,207113, 10th,6, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n43, Federal-gov,192712, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n30, Private,154297, 10th,6, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n62, Private,238913, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,2829,0,24, United-States, <=50K\n38, Private,110402, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,207213, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,606111, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, Germany, >50K\n26, Private,34112, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,119156, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K\n19, Private,249787, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K\n20, Private,153516, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n25, State-gov,260754, Bachelors,13, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,155621, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,50, Columbia, <=50K\n36, Private,33983, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,42, United-States, >50K\n23, Private,306601, Bachelors,13, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K\n24, Private,270075, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, United-States, <=50K\n23, Private,109430, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,187115, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n25, Self-emp-not-inc,463667, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,8, United-States, <=50K\n24, Private,52262, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,144064, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,62, United-States, <=50K\n26, Private,147821, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,45, ?, <=50K\n62, ?,232719, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,268620, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,33, United-States, <=50K\n45, Private,81132, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n31, Private,323069, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,0,880,45, United-States, <=50K\n34, Private,242984, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K\n65, Self-emp-inc,172684, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, Mexico, >50K\n42, Private,103932, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, State-gov,431637, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, <=50K\n40, Private,188942, Some-college,10, Married-civ-spouse, Sales, Wife, Black, Female,0,0,40, Puerto-Rico, <=50K\n53, Federal-gov,170354, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,28518, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n30, State-gov,193380, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Male,0,0,35, United-States, <=50K\n59, Private,175942, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n42, Self-emp-not-inc,53956, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,55, United-States, <=50K\n23, Private,120773, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,96219, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, <=50K\n20, Private,104164, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,190429, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n73, ?,243030, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n47, Self-emp-not-inc,228660, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,40, United-States, >50K\n44, Private,368757, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,220563, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,233571, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,37, United-States, >50K\n39, Private,187847, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,50, United-States, <=50K\n49, Private,84298, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n44, Self-emp-not-inc,254303, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K\n27, Private,109611, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,37, Portugal, <=50K\n50, Private,189183, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,206951, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,282882, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n55, Private,377061, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,209906, 1st-4th,2, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,35, Puerto-Rico, <=50K\n53, Local-gov,176059, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n31, Private,279015, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,70, Taiwan, >50K\n21, Private,347292, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,277314, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n74, ?,29887, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,10, United-States, <=50K\n53, Private,341439, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, >50K\n47, Private,209460, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,47, United-States, <=50K\n60, Private,114263, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, Hungary, >50K\n59, Private,230899, 9th,5, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K\n37, Private,271767, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, >50K\n47, Federal-gov,20956, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n49, Private,39986, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n73, Local-gov,45784, Some-college,10, Never-married, Prof-specialty, Other-relative, White, Female,0,0,11, United-States, <=50K\n58, Private,126991, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K\n18, ?,234648, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,15, United-States, <=50K\n35, Private,207676, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n24, State-gov,413345, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, <=50K\n62, Private,122033, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n58, Private,169611, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n51, Private,90363, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,40, United-States, >50K\n21, Private,372636, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K\n30, Private,340917, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,34273, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,1876,36, Canada, <=50K\n25, Private,161027, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,5178,0,40, United-States, >50K\n31, Private,99844, HS-grad,9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,45, United-States, <=50K\n31, Private,207685, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,34, United-States, <=50K\n44, Private,74680, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,50, United-States, >50K\n52, Self-emp-inc,334273, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,65, United-States, >50K\n30, Private,36069, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,100563, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n36, Private,174308, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,109413, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n59, Local-gov,212600, Some-college,10, Separated, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K\n55, Private,271710, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n70, ?,230816, Assoc-voc,11, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n22, Private,103277, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n42, Private,318947, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,187167, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n32, Private,204742, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,282062, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, ?,283510, HS-grad,9, Never-married, ?, Unmarried, Black, Male,0,0,45, United-States, <=50K\n25, Private,280093, 11th,7, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n31, Private,202729, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,205950, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,392286, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n42, Self-emp-not-inc,119207, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K\n49, Private,195554, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K\n30, Private,173005, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,44, United-States, <=50K\n54, Private,192862, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n39, Private,164712, Some-college,10, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, Private,195808, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,199444, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,44, United-States, <=50K\n23, Private,126346, 9th,5, Never-married, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n54, Private,177675, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,42, United-States, <=50K\n23, Private,50341, Masters,14, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n39, Private,237943, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,1726,40, United-States, <=50K\n23, Private,126945, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,25, United-States, <=50K\n67, ?,92061, HS-grad,9, Widowed, ?, Other-relative, White, Female,0,0,8, United-States, <=50K\n19, ?,109938, 11th,7, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,40, Laos, <=50K\n41, Private,267252, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,1902,40, United-States, >50K\n32, Private,174704, 11th,7, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n57, Private,124771, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,200603, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,30, United-States, <=50K\n60, State-gov,165827, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,60, United-States, >50K\n21, Private,301199, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n53, Private,215790, Some-college,10, Widowed, Adm-clerical, Other-relative, White, Female,0,0,22, United-States, <=50K\n38, Private,87556, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K\n21, Private,111467, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,82646, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, >50K\n24, Private,162282, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Federal-gov,239074, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,214925, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,60, United-States, <=50K\n23, Private,194247, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,211531, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n32, Local-gov,223267, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K\n25, Private,201635, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n41, Self-emp-not-inc,188738, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,27, United-States, <=50K\n18, Private,133055, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n57, Private,61761, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,45, United-States, <=50K\n62, Private,103344, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Male,10520,0,50, United-States, >50K\n29, Private,109814, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,225294, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,97277, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K\n52, Private,146711, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,286452, 10th,6, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,20308, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,224203, Some-college,10, Widowed, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n41, Private,225978, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n23, Private,237720, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K\n31, Private,156743, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,76, United-States, >50K\n31, Private,509364, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, Mexico, <=50K\n46, Private,144351, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,375515, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n57, Self-emp-not-inc,103529, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, >50K\n25, Private,199472, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n32, Private,348152, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,221166, 9th,5, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Federal-gov,341762, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K\n17, ?,634226, 10th,6, Never-married, ?, Own-child, White, Female,0,0,17, United-States, <=50K\n43, State-gov,159449, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,110238, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n19, Private,458558, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K\n20, Federal-gov,340217, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Private,155106, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n90, Private,90523, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Male,0,0,99, United-States, <=50K\n25, Private,122756, 11th,7, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n27, Private,293828, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K\n48, Private,299291, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K\n48, Federal-gov,483261, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n27, Private,122038, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n46, Private,160647, Bachelors,13, Widowed, Tech-support, Unmarried, White, Female,0,0,38, United-States, <=50K\n32, Private,106541, 5th-6th,3, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n22, Private,126945, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,188505, Bachelors,13, Married-AF-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n31, Private,377850, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K\n20, Private,193586, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,18, United-States, <=50K\n28, Self-emp-not-inc,315417, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,2176,0,40, United-States, <=50K\n40, Self-emp-inc,57233, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n39, Private,195253, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n54, Local-gov,172991, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n59, Local-gov,223215, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,42, United-States, <=50K\n17, Private,95799, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,18, United-States, <=50K\n25, Self-emp-not-inc,213385, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,80, United-States, <=50K\n49, Local-gov,202467, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-not-inc,145574, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,34095,0,60, United-States, <=50K\n39, Private,147548, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n67, Private,105216, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,16, United-States, <=50K\n28, Private,77760, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n35, Private,167990, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Canada, <=50K\n44, Private,167005, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, >50K\n51, Private,108435, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,47, United-States, >50K\n55, Private,56645, Bachelors,13, Widowed, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n45, Local-gov,304973, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,78, United-States, >50K\n32, Private,42596, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n45, Private,220641, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,101452, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, England, >50K\n35, Private,188888, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K\n55, Local-gov,168790, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K\n59, Private,98361, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,401762, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K\n46, Local-gov,160187, Masters,14, Widowed, Exec-managerial, Unmarried, Black, Female,0,0,35, United-States, <=50K\n23, Private,203715, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,144351, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n34, Private,420749, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, Germany, <=50K\n51, Private,106151, 11th,7, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,362482, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n24, State-gov,38151, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,12, United-States, <=50K\n20, Private,42706, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,72, United-States, <=50K\n44, Private,126199, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,1831,0,50, United-States, <=50K\n26, Private,165510, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,216068, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n23, Private,215624, Some-college,10, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n40, Private,239708, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n49, Local-gov,199378, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,230420, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n28, Private,395022, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Private,338620, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n62, Private,210142, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,446358, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n47, Local-gov,352614, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,293528, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,0,3, United-States, <=50K\n44, State-gov,55395, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, ?,128538, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n46, Private,428405, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,126838, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,136836, Assoc-acdm,12, Divorced, Transport-moving, Unmarried, Black, Female,0,0,30, United-States, <=50K\n48, Private,105838, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,139903, Bachelors,13, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n57, Self-emp-inc,106103, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, >50K\n33, Private,186824, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,350387, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,15, United-States, <=50K\n17, Private,142912, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n63, ?,321403, 9th,5, Separated, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n31, Self-emp-inc,114937, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n34, ?,286689, Masters,14, Never-married, ?, Not-in-family, White, Male,4650,0,30, United-States, <=50K\n35, Private,147258, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,1974,40, United-States, <=50K\n20, Private,451996, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,149833, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n24, Private,211968, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K\n33, Private,287908, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, >50K\n36, Private,166549, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,25216, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,286452, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,3418,0,40, United-States, <=50K\n47, Private,162034, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n30, Private,186932, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,75, United-States, >50K\n34, Private,82938, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,122048, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K\n33, Private,118710, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Private,243226, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n67, Self-emp-not-inc,268514, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,365289, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,165365, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,2885,0,40, Laos, <=50K\n20, Private,219266, HS-grad,9, Married-civ-spouse, Prof-specialty, Own-child, White, Female,0,0,36, ?, <=50K\n24, Private,283757, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,39, United-States, <=50K\n44, Federal-gov,206553, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,113364, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,328949, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n19, Private,83930, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n31, Self-emp-not-inc,325355, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,40, United-States, >50K\n20, Private,131852, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n64, Private,119506, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K\n47, State-gov,100818, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n36, Private,162302, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n48, Private,182211, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K\n19, Self-emp-not-inc,194205, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, Mexico, <=50K\n22, Private,141040, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K\n56, Private,346033, 9th,5, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,177125, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n37, Private,241174, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,99, United-States, >50K\n57, Local-gov,130532, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n38, Private,168496, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,362787, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n22, ?,244771, 11th,7, Separated, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, Federal-gov,48123, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Self-emp-inc,173858, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,1902,40, South, >50K\n32, Private,207201, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n29, Private,37933, 12th,8, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n56, Private,33323, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,175943, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,7298,0,35, United-States, >50K\n66, ?,306178, 10th,6, Divorced, ?, Not-in-family, White, Male,2050,0,40, United-States, <=50K\n71, Local-gov,229110, HS-grad,9, Widowed, Exec-managerial, Other-relative, White, Female,0,0,33, United-States, <=50K\n20, Private,113511, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,333677, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,36, United-States, <=50K\n42, Private,236021, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, >50K\n20, ?,371089, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n61, Private,115023, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n24, State-gov,133586, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n51, Private,91137, 9th,5, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n27, Private,105598, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,352812, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,40, United-States, >50K\n31, Private,204829, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,247733, HS-grad,9, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,16, United-States, <=50K\n36, ?,370585, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,103257, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,178915, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,54260, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,55395, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,233511, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K\n49, Private,318331, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,195985, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,38876, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n67, Self-emp-inc,81413, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,172618, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n36, Private,174717, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n67, Private,224984, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,15831,0,16, Germany, >50K\n61, Private,423297, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n55, Local-gov,88856, 7th-8th,4, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, ?,169104, Assoc-acdm,12, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,16, Philippines, <=50K\n35, Federal-gov,39207, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,340018, 10th,6, Never-married, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K\n20, State-gov,30796, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n51, Private,155403, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n23, Private,238092, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,225605, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,24, United-States, <=50K\n36, Private,289148, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Private,339863, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,178778, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,80, United-States, >50K\n29, Private,568490, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, State-gov,129345, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,447882, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n24, Private,314165, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,20, United-States, <=50K\n39, Federal-gov,382859, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n51, State-gov,82504, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,149700, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,40, United-States, >50K\n62, Private,209844, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n49, Private,62546, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,228686, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,326587, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,202091, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,310774, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,450246, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n20, ?,84375, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,45, United-States, <=50K\n43, Private,142444, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,55, United-States, >50K\n26, Private,82246, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1876,38, United-States, <=50K\n24, Private,192766, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,53109, 11th,7, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0,0,20, United-States, <=50K\n45, Self-emp-inc,121836, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, ?, >50K\n45, Self-emp-not-inc,298130, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K\n26, Private,135645, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,265275, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n54, ?,410114, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n21, Without-pay,232719, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n29, Private,167716, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,99, United-States, <=50K\n68, Private,107627, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, <=50K\n21, Private,129674, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,48, Mexico, <=50K\n28, Self-emp-inc,114053, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K\n46, Private,202560, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n35, Private,219902, HS-grad,9, Separated, Transport-moving, Unmarried, Black, Female,0,0,48, United-States, <=50K\n50, Self-emp-not-inc,192654, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,25, United-States, <=50K\n48, Self-emp-inc,238966, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, ?,112942, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n59, Private,153484, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,50, United-States, >50K\n23, Private,161874, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, United-States, <=50K\n53, Private,260106, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n50, Self-emp-inc,240374, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n32, ?,251612, 5th-6th,3, Never-married, ?, Unmarried, White, Female,0,0,45, Mexico, <=50K\n53, Private,223696, 12th,8, Married-spouse-absent, Handlers-cleaners, Not-in-family, Other, Male,0,0,56, Dominican-Republic, <=50K\n52, Private,176134, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,48, United-States, <=50K\n38, Private,186959, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n43, Private,456236, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n35, Private,98948, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,32, United-States, <=50K\n41, Private,166662, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,448626, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,167482, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, >50K\n45, Private,189792, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,399052, 9th,5, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,42, United-States, <=50K\n40, Private,104196, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n47, Self-emp-not-inc,152752, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n53, Private,268545, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Jamaica, <=50K\n53, Self-emp-inc,148532, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n33, Local-gov,281784, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Male,0,1564,52, United-States, >50K\n24, Private,225724, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n34, Private,200192, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Self-emp-inc,170850, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n29, Federal-gov,224858, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K\n61, State-gov,159908, 11th,7, Widowed, Other-service, Unmarried, White, Female,0,0,32, United-States, >50K\n31, Private,115488, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,1268339, HS-grad,9, Married-spouse-absent, Tech-support, Own-child, Black, Male,0,0,40, United-States, <=50K\n42, Private,195755, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n50, Federal-gov,186272, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,181388, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,177181, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n74, Private,91488, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,20, United-States, <=50K\n40, Private,230961, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n75, Self-emp-not-inc,309955, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2174,50, United-States, >50K\n40, Local-gov,63042, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n36, Private,29814, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n61, ?,116230, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n42, ?,167678, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,22, Ecuador, <=50K\n28, Private,191088, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n19, Private,63814, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,18, United-States, <=50K\n36, Private,285865, Assoc-acdm,12, Separated, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K\n33, ?,160776, Assoc-voc,11, Divorced, ?, Not-in-family, White, Female,0,0,40, France, <=50K\n50, Federal-gov,299831, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,880,40, United-States, <=50K\n47, Private,162741, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, Black, Female,15024,0,40, United-States, >50K\n48, Private,204990, HS-grad,9, Never-married, Tech-support, Unmarried, Black, Female,0,0,33, Jamaica, <=50K\n60, Self-emp-inc,171315, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,296462, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n32, Private,103860, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n45, Local-gov,159816, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,35, United-States, >50K\n51, Private,96586, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,202720, 9th,5, Married-spouse-absent, Machine-op-inspct, Unmarried, Black, Male,0,0,75, Haiti, <=50K\n34, Private,202822, Masters,14, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, ?, <=50K\n48, Self-emp-not-inc,379883, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Mexico, >50K\n68, ?,123464, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K\n32, Private,294121, Assoc-acdm,12, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,50, United-States, <=50K\n63, ?,179981, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,4, United-States, <=50K\n31, Private,234387, HS-grad,9, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,154537, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n32, Private,125856, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n32, Private,156015, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,116632, Bachelors,13, Divorced, Sales, Own-child, White, Male,0,0,80, United-States, <=50K\n50, Private,124963, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, United-States, >50K\n38, Self-emp-not-inc,115215, 10th,6, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,254905, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,195532, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,190067, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,1564,40, United-States, >50K\n63, Private,181828, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, ?, <=50K\n32, Private,203674, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,880,36, United-States, <=50K\n25, Private,322585, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n59, Private,246262, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n22, Local-gov,211129, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, ?, <=50K\n49, Private,139268, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,188540, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, ?,251167, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,30, Mexico, <=50K\n46, Private,94809, Some-college,10, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,30, United-States, <=50K\n37, Local-gov,265038, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n48, Private,182566, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K\n43, Private,220109, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,1672,44, United-States, <=50K\n41, Private,208470, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,28683, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3464,0,40, United-States, <=50K\n36, Private,233571, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,4, United-States, <=50K\n29, Private,24562, Bachelors,13, Divorced, Other-service, Unmarried, Other, Female,0,0,40, United-States, <=50K\n66, Local-gov,36364, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2267,40, United-States, <=50K\n59, Private,168569, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n62, Private,167098, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,271579, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n28, Private,191355, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,31659, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,60, United-States, >50K\n42, State-gov,83411, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n60, Private,40856, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, >50K\n58, Private,115605, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,132326, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,220213, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,172511, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,156745, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n39, Private,218916, Prof-school,15, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n21, Private,306114, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n24, Private,196675, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,70, United-States, <=50K\n59, Self-emp-not-inc,73411, Prof-school,15, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n36, Private,184659, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n72, ?,75890, Some-college,10, Widowed, ?, Unmarried, Asian-Pac-Islander, Female,0,0,4, United-States, <=50K\n35, Private,320451, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,65, Hong, >50K\n33, Private,172498, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,131588, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Female,0,0,45, United-States, <=50K\n40, Private,124520, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Male,0,0,50, United-States, >50K\n26, Self-emp-not-inc,93806, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n37, Federal-gov,173192, Assoc-voc,11, Separated, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n68, Self-emp-not-inc,198554, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Female,0,0,20, United-States, <=50K\n45, Private,26502, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, United-States, >50K\n56, Private,225267, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,150042, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,211319, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n38, Private,208358, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,58115, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,41, United-States, <=50K\n28, Private,219267, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,28, United-States, <=50K\n39, Federal-gov,129573, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n26, Local-gov,27834, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-inc,415037, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, >50K\n52, Private,191529, Bachelors,13, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n84, Private,132806, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,13, United-States, <=50K\n33, Federal-gov,137059, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K\n46, Federal-gov,102308, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n30, Private,164309, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n38, Private,40955, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, England, >50K\n66, Private,141085, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,8, United-States, <=50K\n62, Federal-gov,258124, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Italy, >50K\n31, Private,467579, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1887,40, United-States, >50K\n31, Private,145139, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,231141, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2829,0,40, United-States, <=50K\n60, Self-emp-not-inc,146674, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,50, ?, <=50K\n27, Private,242207, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n37, ?,102541, Assoc-voc,11, Married-civ-spouse, ?, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n38, Private,135416, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,267284, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n48, Private,130812, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,183765, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, ?, <=50K\n45, Local-gov,188823, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,200593, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,124094, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, <=50K\n21, Private,50411, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Local-gov,101689, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,73091, HS-grad,9, Separated, Other-service, Not-in-family, Black, Male,0,1876,50, United-States, <=50K\n21, ?,107801, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,6, United-States, <=50K\n51, Private,176969, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n30, Private,342709, HS-grad,9, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,368561, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,26915, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n57, Private,157974, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,48, United-States, <=50K\n48, Private,109832, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n39, Self-emp-inc,116358, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,7688,0,40, ?, >50K\n68, Self-emp-not-inc,195881, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,2414,0,40, United-States, <=50K\n33, Private,183000, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K\n22, Without-pay,302347, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,4416,0,40, United-States, <=50K\n18, ?,151463, 11th,7, Never-married, ?, Other-relative, White, Male,0,0,7, United-States, <=50K\n28, Private,217200, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Private,31740, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n56, Private,35520, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K\n36, Private,369843, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,199227, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n18, Private,144711, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,1721,40, United-States, <=50K\n39, Private,382802, 10th,6, Widowed, Machine-op-inspct, Not-in-family, Black, Male,0,1590,40, United-States, <=50K\n25, Private,254781, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,70657, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n56, Self-emp-not-inc,50791, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,1876,60, United-States, <=50K\n33, Self-emp-not-inc,222162, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-inc,94606, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,60, United-States, >50K\n44, Self-emp-not-inc,104196, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,84, United-States, <=50K\n30, Self-emp-not-inc,455995, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, >50K\n27, Private,166210, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n25, Private,198986, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K\n30, Self-emp-inc,292465, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,99388, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, El-Salvador, <=50K\n38, Private,698363, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,154940, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,401998, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,20, United-States, <=50K\n62, Private,162825, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-not-inc,271795, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,134671, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,87583, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,14, United-States, <=50K\n50, Private,248619, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,130200, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n45, Private,178922, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n23, Private,51985, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,38, United-States, <=50K\n37, Private,125933, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n38, State-gov,104280, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n27, Private,617860, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n29, Private,122112, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K\n45, Local-gov,181758, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-inc,223671, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1887,55, United-States, >50K\n38, Self-emp-not-inc,140117, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n27, Private,107458, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Federal-gov,215948, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,0,40, ?, <=50K\n44, Federal-gov,306440, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Federal-gov,615893, Masters,14, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, Nicaragua, <=50K\n28, Self-emp-inc,201186, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,99999,0,40, United-States, >50K\n32, Private,37210, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n43, Private,196084, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n45, Local-gov,166181, HS-grad,9, Divorced, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n52, Federal-gov,291096, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,7298,0,40, United-States, >50K\n24, Private,232841, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n19, ?,131982, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,408788, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n53, Self-emp-inc,42924, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Male,14084,0,50, United-States, >50K\n31, Private,181091, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,200246, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Private,282023, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n49, Federal-gov,128990, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,106838, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,144750, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,18, United-States, <=50K\n39, Private,108140, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,103323, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,268022, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K\n58, Private,197114, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,191628, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,2174,0,40, United-States, <=50K\n59, Local-gov,176118, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n24, Private,42401, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,47, United-States, <=50K\n42, Private,322385, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2407,0,40, United-States, <=50K\n53, State-gov,123011, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,210945, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n36, Local-gov,130620, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, China, >50K\n26, Private,248990, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n33, Private,132705, 9th,5, Separated, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K\n29, Private,94892, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,141858, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,81232, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n48, Private,114561, Bachelors,13, Married-spouse-absent, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,36, Philippines, >50K\n45, Local-gov,191776, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,128354, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,37088, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n21, Private,414812, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n63, ?,156799, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K\n39, Private,33983, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,40, United-States, >50K\n52, Self-emp-not-inc,194995, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,55, United-States, >50K\n41, Self-emp-inc,73431, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n48, Private,155664, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,70, United-States, >50K\n27, ?,182386, 11th,7, Divorced, ?, Unmarried, White, Female,0,0,35, United-States, <=50K\n53, State-gov,281074, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,1092,40, United-States, <=50K\n33, Local-gov,248346, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n37, Private,167482, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n18, ?,171088, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Federal-gov,211763, Doctorate,16, Separated, Prof-specialty, Unmarried, Black, Female,0,0,24, United-States, >50K\n20, Private,122166, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,370119, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n36, Self-emp-not-inc,138940, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n41, Private,174575, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,45, United-States, >50K\n67, Private,101132, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,1797,0,40, United-States, <=50K\n38, Private,292307, Bachelors,13, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male,0,0,40, Dominican-Republic, <=50K\n47, Self-emp-not-inc,248776, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,25, United-States, <=50K\n39, Private,314007, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,213226, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,35, ?, <=50K\n36, Private,76845, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K\n24, Private,148320, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,54261, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K\n21, Private,223352, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,1055,0,30, United-States, <=50K\n21, Private,211013, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,50, Mexico, <=50K\n40, Private,209833, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,356272, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n38, Private,143538, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,242960, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n44, Local-gov,263871, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n20, Private,151105, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n44, Private,207685, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,1564,55, England, >50K\n49, Local-gov,46537, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,594,0,10, United-States, <=50K\n45, Self-emp-inc,84324, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,224716, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,186269, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,143731, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,72, United-States, >50K\n39, Private,236391, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n22, Private,54560, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,266325, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,32, United-States, >50K\n32, Federal-gov,42900, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n45, State-gov,183710, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, <=50K\n23, Private,278254, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,45, United-States, <=50K\n35, Private,119992, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n52, Private,284329, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n55, Private,368727, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,353696, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,31387, Bachelors,13, Married-civ-spouse, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,2885,0,25, United-States, <=50K\n27, Private,110931, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,169532, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n21, Private,285522, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,198774, Bachelors,13, Divorced, Sales, Other-relative, White, Female,0,0,35, United-States, <=50K\n32, Private,123291, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n64, Private,146110, Some-college,10, Widowed, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K\n37, Self-emp-not-inc,29814, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K\n61, Private,195595, 7th-8th,4, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n44, Private,92649, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, >50K\n53, Private,290688, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K\n43, Private,427382, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n60, State-gov,234854, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n23, Private,276568, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,250038, Masters,14, Married-civ-spouse, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n29, Private,150861, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,87205, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,55, England, <=50K\n47, Private,343579, 1st-4th,2, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,12, Mexico, <=50K\n20, Private,94401, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,120238, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,40, Poland, >50K\n27, Private,205440, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,198996, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,294253, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,27, United-States, <=50K\n23, Private,256628, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,32, United-States, <=50K\n59, Self-emp-not-inc,223131, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n46, Private,207301, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K\n66, ?,270460, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,125457, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,38, United-States, >50K\n36, Local-gov,212856, 11th,7, Never-married, Other-service, Unmarried, White, Female,0,0,23, United-States, <=50K\n44, Private,197389, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n17, Private,73338, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n27, Private,68037, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n32, Private,185027, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,107123, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n22, Private,109482, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,98, United-States, <=50K\n30, Private,174543, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,208407, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2002,30, United-States, <=50K\n68, Self-emp-not-inc,211584, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,108540, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,202416, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n62, ?,160155, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,6418,0,40, United-States, >50K\n20, Private,176178, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n21, Private,265148, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,38, Jamaica, <=50K\n34, Private,220631, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,50, ?, <=50K\n30, Self-emp-not-inc,303692, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, <=50K\n25, Private,135845, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n23, State-gov,199915, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,21, United-States, <=50K\n40, State-gov,150533, Bachelors,13, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, <=50K\n26, Federal-gov,85482, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,24473, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,272944, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n43, ?,82077, Some-college,10, Divorced, ?, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n49, State-gov,194895, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Private,314153, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,176253, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n59, Private,113959, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n42, State-gov,167581, Bachelors,13, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n37, Private,79586, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Iran, <=50K\n40, Private,166662, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K\n47, Private,72896, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,345730, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n30, Private,302473, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Private,42346, HS-grad,9, Widowed, Exec-managerial, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n21, Private,243921, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,131620, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Own-child, White, Female,0,0,40, Dominican-Republic, <=50K\n47, Private,158924, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K\n22, Self-emp-not-inc,32921, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n35, Private,252897, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,14344,0,40, United-States, >50K\n41, Private,155657, 11th,7, Never-married, Handlers-cleaners, Other-relative, Black, Female,0,0,40, United-States, <=50K\n43, Federal-gov,155106, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,53, United-States, <=50K\n60, Private,82775, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n73, Private,26248, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K\n90, Private,88991, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, England, >50K\n62, Federal-gov,125155, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K\n28, Private,218039, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,53524, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,259352, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n30, Private,296453, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n19, Private,278915, 12th,8, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,52, United-States, <=50K\n23, Private,565313, Some-college,10, Never-married, Other-service, Own-child, Black, Male,2202,0,80, United-States, <=50K\n22, Federal-gov,274103, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K\n19, Private,271118, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,28, United-States, <=50K\n45, Federal-gov,207107, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Male,0,2080,40, Philippines, <=50K\n26, Local-gov,138597, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K\n42, Local-gov,180985, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,99999,0,40, United-States, >50K\n62, Self-emp-not-inc,159939, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n61, Private,110920, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,34862, Bachelors,13, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Male,0,1564,60, United-States, >50K\n22, Local-gov,163205, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,53, United-States, <=50K\n56, Private,110003, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,229051, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n24, ?,144898, Some-college,10, Never-married, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n26, Private,211596, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,48458, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,1669,45, United-States, <=50K\n58, Private,201393, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Male,0,1876,40, United-States, <=50K\n25, Self-emp-not-inc,136450, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n23, Private,193586, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n23, Private,91189, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,227832, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,271936, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n35, Private,61343, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,157778, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, >50K\n23, Private,201680, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,228320, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n72, Private,33404, 10th,6, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n21, Private,103205, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,279029, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,213092, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Private,126104, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Female,0,1980,45, United-States, <=50K\n32, Private,119124, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n65, Private,31924, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K\n22, Private,253799, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, ?, <=50K\n52, Private,266138, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K\n65, Private,185001, 10th,6, Widowed, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n33, Self-emp-not-inc,34102, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n35, Private,115214, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,6497,0,65, United-States, <=50K\n27, Private,289484, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n34, State-gov,287908, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,42, United-States, <=50K\n53, Self-emp-not-inc,158284, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K\n23, Private,60668, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K\n43, State-gov,222978, Doctorate,16, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K\n58, Private,244605, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,3908,0,40, United-States, <=50K\n38, Private,150601, 10th,6, Separated, Adm-clerical, Unmarried, White, Male,0,3770,40, United-States, <=50K\n26, Private,199143, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n60, Private,131681, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,346406, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1672,50, United-States, <=50K\n33, Federal-gov,391122, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n29, Local-gov,280344, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n54, State-gov,188809, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n41, Private,277488, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,36, United-States, <=50K\n63, Self-emp-not-inc,181561, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n31, Private,158545, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,27, United-States, <=50K\n23, Private,313573, Bachelors,13, Never-married, Sales, Own-child, Black, Female,0,0,25, United-States, <=50K\n31, Private,591711, Some-college,10, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male,0,0,40, ?, <=50K\n41, Private,268183, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n51, Private,392286, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n59, Private,233312, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,520231, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n24, Self-emp-not-inc,186831, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,45, United-States, <=50K\n67, Self-emp-not-inc,141085, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n65, ?,198019, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n47, Local-gov,198660, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,409230, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n38, Private,376025, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,80167, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,99357, Masters,14, Divorced, Prof-specialty, Own-child, White, Female,1506,0,40, United-States, <=50K\n24, Private,82847, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,50, Portugal, >50K\n24, Private,22201, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, Thailand, <=50K\n38, Private,275223, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K\n19, Private,117595, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K\n32, Private,207668, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n63, Self-emp-not-inc,179981, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n18, Private,192583, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n36, Private,66304, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n41, Private,200671, Bachelors,13, Divorced, Transport-moving, Own-child, Black, Male,6497,0,40, United-States, <=50K\n57, Private,32365, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,28497, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,222978, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,1504,40, United-States, <=50K\n25, Private,160261, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n48, Private,120724, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n20, Private,91733, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K\n74, Self-emp-not-inc,146929, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n44, Private,205706, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,181666, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n54, Local-gov,279452, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,207568, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, >50K\n38, Private,22494, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,7443,0,40, United-States, <=50K\n18, Private,210026, 10th,6, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n32, Local-gov,190889, Masters,14, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,40, ?, <=50K\n24, Private,109869, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Self-emp-not-inc,285263, 9th,5, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, Mexico, <=50K\n28, Private,192588, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,232945, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, Other, Male,0,0,30, United-States, <=50K\n49, Local-gov,31339, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,305147, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n63, Private,188914, HS-grad,9, Widowed, Machine-op-inspct, Other-relative, Black, Female,0,0,40, Haiti, <=50K\n58, Self-emp-not-inc,141165, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n68, Self-emp-inc,136218, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K\n41, Federal-gov,371382, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n21, ?,199177, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,221366, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,50, United-States, >50K\n24, Private,403671, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,193871, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Private,306183, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,44, United-States, <=50K\n64, ?,159938, HS-grad,9, Divorced, ?, Not-in-family, White, Male,8614,0,40, United-States, >50K\n54, Private,124194, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,69847, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,30, United-States, <=50K\n26, State-gov,169323, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, State-gov,172327, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K\n48, Private,118889, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,2885,0,15, United-States, <=50K\n50, Private,166220, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,3942,0,40, United-States, <=50K\n39, Private,186420, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,192779, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, >50K\n41, Private,105616, Some-college,10, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,48, United-States, <=50K\n24, Private,141113, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,2580,0,40, United-States, <=50K\n57, Private,160275, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,164507, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Columbia, <=50K\n41, Private,207578, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, India, >50K\n55, Private,314592, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n41, ?,254630, Assoc-voc,11, Divorced, ?, Not-in-family, White, Male,0,0,80, United-States, <=50K\n69, Private,159522, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, Black, Female,2964,0,40, United-States, <=50K\n22, Private,112130, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n45, Private,192835, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,3942,0,40, United-States, <=50K\n33, Private,206280, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n57, Private,308861, Some-college,10, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,93206, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,1902,65, United-States, >50K\n40, Private,206066, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n48, Self-emp-not-inc,309895, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Local-gov,216129, Some-college,10, Married-spouse-absent, Exec-managerial, Unmarried, Black, Female,0,0,35, United-States, <=50K\n26, State-gov,287420, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n24, Private,163595, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,170092, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K\n37, Private,287031, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,75, United-States, >50K\n42, Private,59474, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,99151, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n37, Private,206888, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n28, Private,177119, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,80, ?, <=50K\n22, Private,173736, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,182163, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Germany, <=50K\n45, Local-gov,311080, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n29, Self-emp-not-inc,389857, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n23, Private,297152, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,25, United-States, <=50K\n24, Federal-gov,130534, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,137301, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n58, Private,316235, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,32, United-States, <=50K\n28, Self-emp-inc,32922, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n58, Private,118303, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,35, United-States, >50K\n18, Private,188241, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n59, Private,236731, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n39, Private,209397, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n53, Self-emp-inc,290640, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n54, Private,221915, Prof-school,15, Never-married, Prof-specialty, Other-relative, White, Female,0,0,65, United-States, <=50K\n51, Private,175246, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n59, Private,159724, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7298,0,55, United-States, >50K\n42, State-gov,160369, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K\n36, Private,461337, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n37, Private,187311, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n32, Private,29312, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,197365, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n19, Private,301747, HS-grad,9, Separated, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n55, Local-gov,135439, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K\n30, Private,340917, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,155057, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n65, ?,200749, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n44, Private,323627, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,5, United-States, <=50K\n23, ?,154921, 5th-6th,3, Never-married, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Private,131425, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n60, Private,184242, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n28, Private,149769, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K\n44, Private,124924, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Mexico, <=50K\n29, Private,253003, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,16, United-States, <=50K\n57, State-gov,250976, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,104196, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n34, Self-emp-not-inc,250182, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n44, Private,188331, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,42, United-States, <=50K\n44, Private,187322, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,130714, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,22, United-States, <=50K\n37, Private,40955, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n35, Private,107125, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,16, United-States, >50K\n51, Private,145714, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, ?, >50K\n27, Private,133937, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n41, State-gov,293485, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,3103,0,40, United-States, >50K\n28, ?,203260, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,8, United-States, <=50K\n37, Self-emp-not-inc,143368, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n18, Private,51789, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K\n24, State-gov,211049, 7th-8th,4, Never-married, Tech-support, Unmarried, White, Female,0,0,20, United-States, <=50K\n53, Private,81794, 12th,8, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n40, Private,139193, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,1980,48, United-States, <=50K\n54, Private,150999, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,60, United-States, <=50K\n22, Private,332657, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,240043, 10th,6, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,30, United-States, <=50K\n43, Private,186188, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, Iran, <=50K\n58, State-gov,223400, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K\n59, Local-gov,102442, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n31, Private,236599, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n35, Private,283237, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Private,150106, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n45, Private,102076, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n40, Private,374764, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,32528, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n25, Federal-gov,50053, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K\n58, Private,212864, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,30673, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, >50K\n69, ?,248248, 1st-4th,2, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,34, Philippines, <=50K\n23, Private,419554, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,54, United-States, <=50K\n32, State-gov,177216, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,118158, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K\n41, Private,116391, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Germany, <=50K\n74, Private,194312, 9th,5, Widowed, Craft-repair, Not-in-family, White, Male,0,0,10, ?, <=50K\n43, Private,111895, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n18, Private,193290, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,1721,20, United-States, <=50K\n24, Federal-gov,287988, Bachelors,13, Never-married, Armed-Forces, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Private,147653, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,32, United-States, <=50K\n54, Private,117674, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n60, Private,187458, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,410351, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,207578, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n62, ?,55621, Some-college,10, Married-civ-spouse, ?, Husband, Black, Male,0,0,35, United-States, >50K\n27, State-gov,271243, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Male,0,0,40, Jamaica, <=50K\n30, Private,188798, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n63, Local-gov,168656, Bachelors,13, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,35, Outlying-US(Guam-USVI-etc), <=50K\n33, Private,460408, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,3325,0,50, United-States, <=50K\n34, Private,241885, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n20, ?,133061, 9th,5, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,194097, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,219137, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,25, United-States, <=50K\n50, Private,31621, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,207685, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,57052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2885,0,40, United-States, <=50K\n19, Private,109854, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n20, ?,369678, HS-grad,9, Never-married, ?, Not-in-family, Other, Male,0,0,43, United-States, <=50K\n17, Private,53611, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,6, United-States, <=50K\n47, Private,344916, Assoc-acdm,12, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n25, Local-gov,198813, Bachelors,13, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K\n71, Private,180733, Masters,14, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n21, Private,188073, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n69, ?,159077, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,48, United-States, <=50K\n48, Private,174829, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,142791, 7th-8th,4, Widowed, Sales, Other-relative, White, Female,0,1602,3, United-States, <=50K\n58, Self-emp-not-inc,43221, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2415,40, United-States, >50K\n34, Private,188736, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Female,0,0,20, Columbia, <=50K\n33, Local-gov,222654, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,66, ?, <=50K\n56, Private,251836, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K\n40, Federal-gov,112388, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,209641, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K\n42, Private,313945, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Ecuador, <=50K\n19, ?,134974, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Private,152742, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,3325,0,40, United-States, <=50K\n28, Self-emp-inc,153291, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n40, Private,353432, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,35, United-States, <=50K\n23, Private,96635, Some-college,10, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K\n46, ?,202560, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K\n39, Private,150057, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n39, Private,114844, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1876,50, United-States, <=50K\n45, Private,132847, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, ?,41356, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n50, Self-emp-not-inc,93705, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,309350, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,123084, 11th,7, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n55, Private,174662, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,32, United-States, <=50K\n62, Federal-gov,177295, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,211880, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,454915, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,232475, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Self-emp-inc,244605, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n50, Private,150876, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1887,55, United-States, >50K\n51, Private,257337, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n47, Private,329144, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4386,0,45, United-States, >50K\n37, Private,116960, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n58, Private,267663, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Mexico, <=50K\n39, Private,47871, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, >50K\n34, Private,295922, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, England, >50K\n45, Private,175625, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n19, ?,129586, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,190179, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K\n40, Private,168071, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n39, Self-emp-not-inc,202027, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n36, Private,202662, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,101436, HS-grad,9, Divorced, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K\n19, ?,119234, Some-college,10, Never-married, ?, Other-relative, White, Female,0,0,15, United-States, <=50K\n37, Private,360743, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, >50K\n60, Local-gov,93272, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,145574, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n51, Private,101722, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,3908,0,47, United-States, <=50K\n34, Private,135785, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K\n23, ?,218415, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K\n19, Private,127709, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,30, United-States, <=50K\n37, Federal-gov,448337, HS-grad,9, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n58, Private,310320, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,251521, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n39, Private,255503, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n36, Private,116608, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,4865,0,40, United-States, <=50K\n26, Private,71009, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n22, Private,174975, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,36, United-States, <=50K\n32, Private,108023, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Private,204018, 11th,7, Never-married, Sales, Unmarried, White, Male,0,0,15, United-States, <=50K\n57, ?,366563, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n68, Private,121846, 7th-8th,4, Widowed, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K\n70, Private,278139, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3432,0,40, United-States, <=50K\n30, Private,114691, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n19, State-gov,536725, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,15, Japan, <=50K\n51, Private,94432, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,286002, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,30, Nicaragua, <=50K\n47, Private,101684, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,352834, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,55, United-States, >50K\n36, Private,99146, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K\n30, Private,231413, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,158846, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n41, Local-gov,190786, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n25, Private,306513, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n62, Private,152148, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,309580, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, ?,130832, Bachelors,13, Never-married, ?, Unmarried, White, Female,0,0,10, United-States, <=50K\n25, Private,194897, HS-grad,9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Male,6849,0,40, United-States, <=50K\n30, Private,130078, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K\n48, Private,39986, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,379198, HS-grad,9, Never-married, Other-service, Other-relative, Other, Male,0,0,40, Mexico, <=50K\n51, Private,189762, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,15, United-States, >50K\n19, Private,178147, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K\n31, Private,332379, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,175759, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n21, ?,262062, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,275446, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,278522, 11th,7, Never-married, Farming-fishing, Own-child, Black, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,54683, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,1590,40, United-States, <=50K\n57, Private,136107, 9th,5, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n18, Private,205894, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n54, Private,210736, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,166634, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n52, Private,185283, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,180553, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,199058, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, ?, <=50K\n18, Private,145005, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n37, Self-emp-not-inc,184655, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n52, Private,358554, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K\n59, Private,307423, 9th,5, Never-married, Other-service, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n27, Private,472070, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Federal-gov,115562, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,32446, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n44, Self-emp-not-inc,33121, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K\n37, Private,183345, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n28, Private,119793, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,10520,0,50, United-States, >50K\n48, Self-emp-not-inc,97883, HS-grad,9, Separated, Other-service, Other-relative, White, Female,0,0,25, United-States, <=50K\n58, Self-emp-not-inc,31732, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,206250, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n37, Private,103323, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-inc,135436, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n36, Private,376455, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K\n52, Private,160703, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K\n30, Private,131699, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,243842, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,349910, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n61, Private,170262, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,38, United-States, >50K\n33, Private,184306, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,30, United-States, <=50K\n46, Private,224202, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n64, Private,151540, 11th,7, Widowed, Tech-support, Unmarried, White, Female,0,0,16, United-States, <=50K\n28, Private,231197, 10th,6, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,40, Mexico, <=50K\n19, Private,279968, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K\n36, Private,162651, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, Columbia, <=50K\n43, Self-emp-not-inc,130126, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Self-emp-not-inc,160120, Doctorate,16, Divorced, Adm-clerical, Other-relative, Other, Male,0,0,40, ?, <=50K\n56, Private,161662, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n24, Local-gov,201664, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,137142, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n45, Self-emp-inc,122206, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n56, Local-gov,183169, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,126513, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Female,0,0,40, ?, <=50K\n35, Federal-gov,185053, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,408427, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n50, Self-emp-not-inc,198581, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n61, Private,199198, 7th-8th,4, Widowed, Other-service, Not-in-family, Black, Female,0,0,21, United-States, <=50K\n31, Private,184306, Assoc-voc,11, Never-married, Transport-moving, Own-child, White, Male,0,1980,60, United-States, <=50K\n63, Private,172740, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,205153, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,164964, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,162606, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n24, Private,179627, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,103408, Some-college,10, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, Germany, >50K\n27, Private,36440, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,57512, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,48, United-States, <=50K\n27, Private,187981, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,393768, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,108726, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,180551, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n51, Self-emp-not-inc,176240, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,70720, 12th,8, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,35890, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,283676, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n34, Local-gov,105540, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2051,40, United-States, <=50K\n44, Private,408717, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,3674,0,50, United-States, <=50K\n21, Private,57916, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,177974, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,70, United-States, <=50K\n34, ?,177304, 10th,6, Divorced, ?, Not-in-family, White, Male,0,0,40, Columbia, <=50K\n18, Private,115839, 12th,8, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n34, ?,205256, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2885,0,80, United-States, <=50K\n38, Private,117802, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,65, United-States, >50K\n19, Private,211355, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,12, United-States, <=50K\n46, Private,173243, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,343200, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n22, Private,401690, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, Mexico, <=50K\n38, Private,196123, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,168981, Masters,14, Divorced, Exec-managerial, Own-child, White, Female,14084,0,50, United-States, >50K\n83, Self-emp-not-inc,213866, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,8, United-States, <=50K\n34, Private,55176, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,153976, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,119176, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,169117, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,1887,40, United-States, >50K\n38, Private,156550, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,109609, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K\n38, Private,26698, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,236497, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n33, State-gov,306309, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n17, Private,242773, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n28, Private,124680, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,6849,0,60, United-States, <=50K\n52, Local-gov,43909, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n34, Private,112820, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,2463,0,40, United-States, <=50K\n25, Private,148300, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K\n17, Private,133449, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,26, United-States, <=50K\n22, Private,263670, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,80, United-States, <=50K\n22, Private,276494, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n46, Private,190115, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K\n58, Private,317479, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n39, Private,151248, Some-college,10, Divorced, Sales, Other-relative, White, Female,0,0,35, United-States, <=50K\n59, Local-gov,130532, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,40, Poland, <=50K\n61, Private,160062, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,299635, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n50, Private,171225, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n51, Private,33304, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,95634, Bachelors,13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,45, ?, <=50K\n20, Private,243878, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,181721, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K\n44, Federal-gov,201435, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n28, Private,334032, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n50, Private,220019, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n53, Private,71772, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n42, Self-emp-not-inc,27661, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n47, Private,191411, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, India, <=50K\n39, Private,123945, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n38, Self-emp-not-inc,37778, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K\n34, State-gov,171216, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K\n40, Private,93955, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n63, Private,163809, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n53, Private,346754, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n43, Private,188436, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K\n28, Private,72443, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,1669,60, United-States, <=50K\n68, Private,186350, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,10, United-States, >50K\n22, ?,214238, 7th-8th,4, Never-married, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K\n46, State-gov,394860, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, <=50K\n57, Private,262642, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n38, Private,125550, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n66, Private,192504, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,131310, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n54, Private,249322, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n38, Private,172755, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,209993, 11th,7, Separated, Priv-house-serv, Unmarried, White, Female,0,0,8, Mexico, <=50K\n30, Private,166961, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,37, United-States, <=50K\n39, Private,315291, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Private,284703, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n50, Private,166565, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n30, Self-emp-not-inc,173854, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,189219, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Private,210781, Bachelors,13, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, France, <=50K\n59, Local-gov,171328, HS-grad,9, Separated, Protective-serv, Other-relative, Black, Female,0,2339,40, United-States, <=50K\n45, Private,199832, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,15, United-States, <=50K\n64, Private,251292, 5th-6th,3, Separated, Other-service, Other-relative, White, Female,0,0,20, Cuba, <=50K\n61, Private,122246, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n42, Private,190767, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,278736, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n53, Private,124963, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,167476, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,7, United-States, <=50K\n34, Local-gov,246104, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K\n41, Private,171615, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,48, United-States, <=50K\n67, Private,264095, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,9386,0,24, Cuba, >50K\n46, Private,177114, Assoc-acdm,12, Widowed, Prof-specialty, Unmarried, White, Female,0,0,27, United-States, <=50K\n32, Private,146154, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n41, Private,198196, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,79712, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,154785, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n33, Private,182423, HS-grad,9, Divorced, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K\n20, ?,347292, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,32, United-States, <=50K\n34, Private,118584, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,219835, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, ?, <=50K\n17, ?,148769, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n45, Private,197418, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,48, United-States, <=50K\n21, Private,253190, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,192273, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,129573, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, <=50K\n17, Private,173807, 11th,7, Never-married, Craft-repair, Own-child, White, Female,0,0,15, United-States, <=50K\n35, Private,217893, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n38, Private,102938, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Local-gov,407495, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, >50K\n25, Private,50053, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, Japan, <=50K\n57, Private,233382, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, Cuba, <=50K\n32, Private,270968, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n39, Local-gov,272166, Bachelors,13, Separated, Prof-specialty, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n23, Private,199915, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n21, Private,305781, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,45, United-States, <=50K\n47, Private,107682, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K\n25, Private,188507, 7th-8th,4, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, Dominican-Republic, <=50K\n18, ?,28311, 11th,7, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n41, Federal-gov,197069, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Male,4650,0,40, United-States, <=50K\n19, Private,177839, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n24, Private,77665, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K\n57, Private,127728, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n51, ?,172175, Doctorate,16, Never-married, ?, Not-in-family, White, Male,0,2824,40, United-States, >50K\n32, Private,106742, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,192838, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n40, Private,79531, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, >50K\n21, State-gov,337766, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n45, Self-emp-not-inc,33234, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n17, ?,34088, 12th,8, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n55, Private,176904, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n42, Private,172148, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n49, Private,199058, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K\n38, Private,48093, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,143664, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,168337, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K\n43, Private,195212, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, ?, <=50K\n39, Private,230329, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Canada, >50K\n42, Private,376072, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n32, Private,430175, HS-grad,9, Divorced, Craft-repair, Other-relative, Black, Female,0,0,50, United-States, <=50K\n44, Federal-gov,240628, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,2354,0,40, United-States, <=50K\n50, Self-emp-inc,158294, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,80, United-States, >50K\n55, Private,28735, HS-grad,9, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,45, United-States, <=50K\n37, Private,167482, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n59, Private,113203, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Private,103948, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,310525, 12th,8, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,32, United-States, <=50K\n35, Private,105138, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,153489, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n57, State-gov,254949, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,118149, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n18, Private,267965, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n43, Private,50646, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n33, Private,147700, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K\n18, Private,446771, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K\n47, Private,168262, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,117058, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,140957, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, >50K\n35, Private,186126, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, ?, <=50K\n49, Private,268234, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,485117, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,31350, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,60, England, <=50K\n36, State-gov,210830, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K\n29, Private,196420, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n52, Private,172165, 10th,6, Divorced, Other-service, Other-relative, White, Female,0,0,25, United-States, <=50K\n50, Self-emp-not-inc,186565, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n22, Private,119359, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,109684, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,169589, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,125421, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n31, Private,500002, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, Mexico, <=50K\n33, Private,224141, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,113290, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,15, United-States, <=50K\n62, ?,123992, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,58098, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,1974,40, United-States, <=50K\n46, ?,37672, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K\n55, Private,198145, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n49, Federal-gov,35406, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,20, United-States, <=50K\n22, Private,199419, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n43, Private,145441, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K\n58, Private,238438, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, <=50K\n48, State-gov,212954, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n21, Private,56582, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K\n67, Local-gov,176931, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n39, Self-emp-not-inc,188571, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n52, Federal-gov,312500, Assoc-voc,11, Divorced, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,278404, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,114225, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K\n18, Private,184016, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Local-gov,183009, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K\n59, Private,205759, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n23, Private,462294, Assoc-acdm,12, Never-married, Other-service, Own-child, Black, Male,0,0,44, United-States, <=50K\n42, Private,102085, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n54, Self-emp-not-inc,83311, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, >50K\n39, Private,248694, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n57, Local-gov,190747, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,162988, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n31, Self-emp-not-inc,156890, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,310380, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, Black, Female,0,0,45, United-States, <=50K\n35, Private,172186, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,311497, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-inc,443508, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n31, Private,152156, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n46, Private,155890, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n38, State-gov,312528, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,37, United-States, <=50K\n51, Private,282744, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Canada, <=50K\n27, Private,205145, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, ?,119918, Bachelors,13, Never-married, ?, Not-in-family, Black, Male,0,0,45, ?, <=50K\n22, Private,401451, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K\n72, ?,173427, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Cuba, <=50K\n25, Private,189027, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,35551, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n23, Private,42706, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n63, Private,106910, 5th-6th,3, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,19, Philippines, <=50K\n23, Private,53245, 9th,5, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,221672, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n75, Private,71898, Preschool,1, Never-married, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female,0,0,48, Philippines, <=50K\n52, Private,222107, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K\n69, Private,277588, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,10, United-States, <=50K\n52, Private,178983, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n40, Federal-gov,391744, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n34, Private,418020, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n21, State-gov,39236, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,8, United-States, <=50K\n30, Private,86808, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K\n46, Private,147640, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,1902,40, United-States, <=50K\n21, Private,184756, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K\n44, Private,191256, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n51, State-gov,105943, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,3908,0,40, United-States, <=50K\n40, Private,101272, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K\n33, State-gov,175023, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,37, United-States, <=50K\n22, Self-emp-not-inc,357612, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n23, Private,82777, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K\n75, Self-emp-not-inc,218521, Some-college,10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n55, Private,179534, 11th,7, Widowed, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, ?,33339, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n45, Private,148549, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,27828,0,56, United-States, >50K\n31, Private,198069, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K\n49, Private,236586, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n26, Local-gov,167261, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, Private,160942, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,3103,0,50, United-States, <=50K\n44, Private,107584, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,3908,0,50, United-States, <=50K\n28, Local-gov,251854, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n79, ?,163140, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n51, Private,302579, HS-grad,9, Divorced, Other-service, Other-relative, Black, Female,0,0,30, United-States, <=50K\n44, Self-emp-inc,64632, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n24, Private,83141, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-inc,326048, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,83471, HS-grad,9, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K\n23, Private,170070, 12th,8, Never-married, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n25, Private,207875, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n48, Private,119722, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,8, United-States, <=50K\n18, Private,335665, 11th,7, Never-married, Other-service, Other-relative, Black, Female,0,0,24, United-States, <=50K\n25, Private,212522, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n19, Private,42069, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,2176,0,45, United-States, <=50K\n26, ?,131777, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,2002,40, United-States, <=50K\n33, Private,236396, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K\n42, Private,159911, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,133833, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,226947, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,174201, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,49707, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n33, Private,201988, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n62, Self-emp-not-inc,162347, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, >50K\n30, Private,182833, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K\n22, Private,383603, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,70466, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,184846, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,60, United-States, <=50K\n25, Private,176756, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,112512, HS-grad,9, Widowed, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Private,137296, Assoc-acdm,12, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n28, Private,37821, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K\n25, Private,295108, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,25, United-States, <=50K\n40, Private,408717, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,255635, 9th,5, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K\n48, Self-emp-not-inc,177783, 7th-8th,4, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n63, Self-emp-not-inc,179400, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2290,0,20, United-States, <=50K\n31, Private,240283, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n36, Private,410034, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n39, Private,180667, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,196332, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n32, Local-gov,159187, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n46, Private,225065, Preschool,1, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Mexico, <=50K\n19, Private,178147, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n30, Private,272669, Some-college,10, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n35, Private,347491, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, ?,146399, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,55, United-States, <=50K\n33, Private,75167, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n25, Private,133373, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n64, Local-gov,84737, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,35, United-States, >50K\n18, Private,96483, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K\n59, Private,368005, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, State-gov,36032, HS-grad,9, Divorced, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K\n30, Private,174215, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K\n24, Private,228772, 5th-6th,3, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, Mexico, <=50K\n22, Private,242912, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n49, Self-emp-inc,86701, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,56, United-States, >50K\n35, Private,166549, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n48, Local-gov,121622, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,1380,40, United-States, <=50K\n18, Private,201613, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n35, Private,29874, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,168138, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,162404, Bachelors,13, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,60, United-States, <=50K\n21, ?,162160, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K\n26, Private,139116, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,50, United-States, <=50K\n44, Private,192381, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,40, United-States, >50K\n39, Private,370585, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n40, State-gov,151038, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n70, Self-emp-not-inc,36311, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,35, United-States, >50K\n34, Private,271933, Masters,14, Never-married, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n34, Private,182401, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n66, Private,234743, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,182140, HS-grad,9, Separated, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,215591, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n59, Self-emp-not-inc,96459, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, ?,205562, Masters,14, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n47, Private,188081, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n33, State-gov,121245, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n18, Private,127273, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,20, United-States, <=50K\n25, Private,114345, 9th,5, Never-married, Craft-repair, Unmarried, White, Male,914,0,40, United-States, <=50K\n22, Private,341227, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,20, United-States, <=50K\n40, Local-gov,166893, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K\n68, ?,65730, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n30, Private,145231, Assoc-acdm,12, Divorced, Adm-clerical, Own-child, White, Female,0,1762,40, United-States, <=50K\n73, Self-emp-not-inc,102510, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,6418,0,99, United-States, >50K\n45, Self-emp-not-inc,285335, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K\n23, Private,177087, 11th,7, Never-married, Adm-clerical, Unmarried, Black, Male,0,0,35, United-States, <=50K\n40, Private,240504, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n39, Private,218490, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n23, Private,384651, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,189551, HS-grad,9, Divorced, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n53, Private,194791, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n24, Private,194630, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,35, United-States, <=50K\n53, Private,177647, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,51620, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,251421, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,180477, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, <=50K\n40, State-gov,391736, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, State-gov,170091, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,6, United-States, <=50K\n36, Private,175360, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,13550,0,50, United-States, >50K\n35, Private,276153, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,4650,0,40, United-States, <=50K\n53, Federal-gov,105788, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,50, United-States, >50K\n42, Local-gov,248476, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, >50K\n32, Private,168443, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n33, Private,120201, HS-grad,9, Divorced, Adm-clerical, Own-child, Other, Female,0,0,65, United-States, <=50K\n59, Private,114678, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,60, United-States, <=50K\n36, Private,167440, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, <=50K\n37, Self-emp-not-inc,265266, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Cuba, >50K\n31, Private,212235, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n46, Private,44671, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n44, State-gov,87282, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,38, United-States, <=50K\n27, Private,112754, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,60, United-States, >50K\n29, Self-emp-not-inc,322238, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,65382, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,115176, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K\n48, Self-emp-not-inc,162236, Masters,14, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, ?, >50K\n42, Private,409902, HS-grad,9, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,25, United-States, <=50K\n60, Local-gov,204062, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K\n35, Private,283305, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,435638, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-inc,114733, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,36, United-States, <=50K\n22, Private,162343, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,22, United-States, <=50K\n18, ?,195981, HS-grad,9, Widowed, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,79531, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n44, State-gov,395078, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Local-gov,159641, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,625,40, United-States, <=50K\n21, Private,159567, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K\n49, Private,133917, Assoc-voc,11, Never-married, Sales, Other-relative, Black, Male,0,0,40, ?, <=50K\n52, Private,196894, 11th,7, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,132879, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n23, Private,190290, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Private,102828, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,49, United-States, <=50K\n31, Private,128493, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n30, State-gov,290677, Masters,14, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n21, Private,283757, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,169104, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n51, Private,171409, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n34, Self-emp-not-inc,319165, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,203182, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K\n20, ?,211968, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,45, United-States, <=50K\n26, Private,215384, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1974,55, United-States, <=50K\n26, Private,166666, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n41, Private,156566, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,140564, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n27, Local-gov,322208, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n65, Private,420277, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,123430, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, Mexico, <=50K\n45, Self-emp-inc,151584, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n37, Self-emp-not-inc,348960, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n47, Private,168232, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,45, United-States, >50K\n47, Self-emp-inc,201699, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,511517, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,118001, 10th,6, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n38, Private,193961, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n21, Private,32732, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,223548, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K\n33, Private,389932, HS-grad,9, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,55, United-States, <=50K\n29, Private,102345, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,52, United-States, <=50K\n41, Private,107584, Some-college,10, Separated, Transport-moving, Not-in-family, White, Male,0,0,35, United-States, <=50K\n20, ?,34321, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n20, State-gov,39478, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,54, United-States, <=50K\n34, Self-emp-not-inc,276221, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n78, Self-emp-inc,385242, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,45, United-States, >50K\n46, Private,235646, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,123306, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n59, Private,38573, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,216889, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,386705, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,24, United-States, <=50K\n47, Self-emp-not-inc,249585, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n31, Local-gov,47276, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,38, United-States, >50K\n42, Self-emp-not-inc,162758, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,56, United-States, >50K\n46, Local-gov,146497, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,190765, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,44, United-States, <=50K\n21, Private,186314, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,213615, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,162322, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n44, State-gov,115932, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,392694, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n38, State-gov,143517, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-inc,123429, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Italy, >50K\n53, Private,254285, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,238311, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,36, United-States, >50K\n49, Private,281647, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n30, Private,75167, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,252862, Assoc-voc,11, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,199240, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,20, England, <=50K\n43, Private,145762, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n29, Local-gov,142443, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n49, Private,99361, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n36, Private,105138, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n26, Private,183171, 11th,7, Never-married, Other-service, Own-child, Black, Male,1055,0,32, United-States, <=50K\n18, Private,151866, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n60, Private,297261, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n43, Private,148998, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,143046, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Private,183850, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n55, Self-emp-not-inc,248841, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K\n31, Private,198452, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,161092, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,112497, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n51, Self-emp-not-inc,155963, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n28, Private,147560, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,55, United-States, >50K\n24, Private,376393, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, State-gov,151790, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n21, Private,438139, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n20, ?,163911, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,214896, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n30, Private,102821, Some-college,10, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n44, Self-emp-not-inc,90021, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n45, Private,77085, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, >50K\n42, Private,158555, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n36, ?,28160, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,462255, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,144949, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,116207, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K\n17, Private,187308, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n45, Local-gov,189890, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,185267, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,63434, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,35, United-States, <=50K\n45, Private,1366120, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,8, United-States, <=50K\n41, Self-emp-inc,495061, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,70, United-States, >50K\n34, Local-gov,134886, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,1740,35, United-States, <=50K\n33, Private,129707, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, >50K\n17, ?,181337, 10th,6, Never-married, ?, Own-child, Other, Female,0,0,20, United-States, <=50K\n51, Private,74784, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n33, Private,44392, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n23, Private,406641, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Female,0,0,18, United-States, <=50K\n52, Private,89041, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, >50K\n36, ?,139770, Some-college,10, Divorced, ?, Own-child, White, Female,0,0,32, United-States, <=50K\n25, Private,180212, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, ?,338212, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K\n64, Self-emp-not-inc,178472, 9th,5, Separated, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n42, Private,384236, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n29, Private,168470, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Local-gov,80485, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K\n38, ?,181705, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K\n24, Private,216867, 10th,6, Never-married, Other-service, Other-relative, White, Male,0,0,30, Mexico, <=50K\n43, Federal-gov,214541, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,383239, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K\n28, Private,70034, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n18, ?,266287, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n44, Private,128485, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n81, ?,89015, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,18, United-States, <=50K\n55, Private,106740, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,167527, 11th,7, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Private,19302, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,210150, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,179824, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,36, United-States, <=50K\n27, Private,420351, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n23, State-gov,215443, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,15, United-States, <=50K\n26, Private,116044, 11th,7, Separated, Craft-repair, Other-relative, White, Male,2907,0,50, United-States, <=50K\n33, Private,215306, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Cuba, <=50K\n39, Private,108069, Some-college,10, Never-married, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,260046, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,31053, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, Private,362302, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n54, Private,87205, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K\n45, Private,191703, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n43, Private,242968, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K\n23, Local-gov,185575, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Private,177858, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,2174,0,40, United-States, <=50K\n33, Self-emp-not-inc,73585, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n45, Private,301802, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n32, Self-emp-inc,108467, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K\n47, Private,431245, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,157217, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,204935, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Private,277112, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n64, Self-emp-inc,59145, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K\n30, Local-gov,159773, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K\n51, Private,118793, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K\n26, State-gov,152457, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,187901, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,1504,40, United-States, <=50K\n50, Private,266529, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,256179, Some-college,10, Never-married, ?, Own-child, White, Male,594,0,10, United-States, <=50K\n63, Private,113756, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n48, Private,83444, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K\n37, Self-emp-inc,30529, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,50, United-States, >50K\n51, ?,146325, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,28, United-States, <=50K\n29, Private,198825, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n69, Private,71489, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K\n56, Private,111218, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n26, ?,221626, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n39, Local-gov,203482, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n42, Self-emp-not-inc,352196, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,22, United-States, <=50K\n41, Federal-gov,355918, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,168262, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K\n23, Private,182615, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,211482, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n34, Private,386370, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n31, ?,85077, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,1902,20, United-States, >50K\n46, Local-gov,180010, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n46, Without-pay,142210, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,25, United-States, <=50K\n33, Private,415706, 5th-6th,3, Separated, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n46, Private,237731, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,343506, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n49, Local-gov,116163, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, France, <=50K\n66, ?,206560, HS-grad,9, Widowed, ?, Not-in-family, Other, Female,0,0,35, Puerto-Rico, <=50K\n55, State-gov,153451, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,1887,40, United-States, >50K\n35, Private,301862, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,33429, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,169583, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Private,146497, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,16, Germany, <=50K\n48, Self-emp-not-inc,383384, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,240809, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,56, United-States, <=50K\n38, Private,203763, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,218785, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n23, ?,381741, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,1721,20, United-States, <=50K\n17, Private,244602, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n44, State-gov,175696, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,101027, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n37, Private,99270, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Female,0,0,40, United-States, <=50K\n49, Private,224393, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n42, Private,192381, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,131686, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n73, ?,84390, Assoc-voc,11, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,32, United-States, <=50K\n44, Private,277533, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,72880, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, ?,149646, Some-college,10, Divorced, ?, Own-child, White, Female,0,0,20, ?, <=50K\n49, Private,209057, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Private,108909, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n42, Private,74949, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,235639, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, State-gov,137421, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,37, Hong, <=50K\n53, Private,122412, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,434894, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n35, Private,379959, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,95885, 11th,7, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,13550,0,60, United-States, >50K\n39, Private,225330, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,50, Poland, >50K\n40, Private,32627, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n28, Private,65171, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,193380, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,184823, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,81259, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K\n35, Private,301369, 12th,8, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n21, Private,190968, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n71, Private,196610, 7th-8th,4, Widowed, Exec-managerial, Not-in-family, White, Male,6097,0,40, United-States, >50K\n31, Private,330715, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Local-gov,77698, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n35, Private,139770, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,6849,0,40, United-States, <=50K\n24, Private,109053, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K\n69, Private,312653, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K\n35, Self-emp-not-inc,193260, Masters,14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K\n35, Private,331831, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,54202, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,10520,0,50, United-States, >50K\n51, Private,163948, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,36228, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,44, United-States, <=50K\n49, Private,160167, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,178356, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,2407,0,99, United-States, <=50K\n43, Private,104196, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,288353, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,187693, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,114988, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Local-gov,117392, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,121124, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,195638, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,245053, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Male,0,1504,40, United-States, <=50K\n49, State-gov,216734, Prof-school,15, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, ?,197827, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,49156, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,126133, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Private,304463, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K\n34, Private,214288, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,274969, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,0,0,42, United-States, <=50K\n23, Private,189072, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Female,0,0,45, United-States, <=50K\n46, Private,128047, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K\n20, Private,210338, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n63, Private,122442, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,167081, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,3103,0,50, United-States, <=50K\n33, Private,251421, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n24, Federal-gov,219519, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n36, Private,33355, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,45, United-States, <=50K\n25, Private,441210, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Local-gov,178356, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,231196, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n58, State-gov,40925, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,270587, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, England, <=50K\n40, Private,219266, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n27, Private,114967, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,344492, HS-grad,9, Separated, Sales, Own-child, White, Female,0,0,26, United-States, <=50K\n22, Private,369387, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n80, Self-emp-not-inc,101771, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K\n52, Private,137428, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n40, Federal-gov,121012, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,48, United-States, >50K\n48, Private,139290, 10th,6, Separated, Machine-op-inspct, Own-child, White, Female,0,0,48, United-States, <=50K\n62, Private,199193, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, United-States, <=50K\n32, Private,286689, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,42, United-States, >50K\n21, ?,123727, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,28, United-States, <=50K\n58, Federal-gov,208640, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Self-emp-not-inc,120130, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n29, Self-emp-inc,241431, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n25, Private,120450, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,152240, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,200960, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n30, Federal-gov,314310, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n30, Local-gov,44566, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, <=50K\n59, Private,21792, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K\n36, Private,182074, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,221850, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Ecuador, >50K\n42, Private,240628, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n34, Private,318641, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, >50K\n27, Self-emp-not-inc,140863, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,129150, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n41, Private,143003, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,7298,0,60, India, >50K\n34, Self-emp-not-inc,198664, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,15024,0,70, South, >50K\n41, Private,244945, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,138514, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n18, Private,92008, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Female,0,0,28, United-States, <=50K\n23, Private,207415, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,15, United-States, <=50K\n26, Private,188626, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n38, Private,257250, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,60, United-States, >50K\n27, Private,133696, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,88, United-States, <=50K\n21, Private,195919, 10th,6, Never-married, Handlers-cleaners, Not-in-family, Other, Male,0,0,40, Dominican-Republic, <=50K\n41, Private,119266, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,140474, Assoc-acdm,12, Divorced, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0,0,35, United-States, <=50K\n25, Private,69739, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,293176, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,217961, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n40, Local-gov,163725, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n23, Private,419394, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,9, United-States, <=50K\n18, Private,220836, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n37, Private,334291, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n58, Private,298601, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,3781,0,40, United-States, <=50K\n36, Private,200360, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,203482, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,99126, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, United-States, >50K\n62, Private,109190, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n34, Private,34848, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,4064,0,40, United-States, <=50K\n27, Private,29732, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,4865,0,36, United-States, <=50K\n23, Private,87867, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n55, Private,123515, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,175935, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,229456, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,38, United-States, <=50K\n44, Private,184105, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,4386,0,40, United-States, >50K\n42, Local-gov,99554, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,190227, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n25, Private,29020, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,45, United-States, <=50K\n31, Private,306459, 1st-4th,2, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,35, Honduras, <=50K\n42, Private,193995, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K\n26, Private,105059, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n62, Private,71751, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,98, United-States, >50K\n28, Private,176683, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,50, United-States, >50K\n34, Private,342709, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,53838, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n45, Local-gov,209482, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n44, Private,214242, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n47, ?,34458, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K\n35, Private,100375, Some-college,10, Married-spouse-absent, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,149949, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,189762, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,56, United-States, <=50K\n46, Private,79874, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,53, United-States, >50K\n66, Self-emp-not-inc,104576, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,8, United-States, >50K\n34, State-gov,355700, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n26, Private,213625, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,204984, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,144593, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, ?, <=50K\n23, Private,217169, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Private,184883, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n44, ?,136419, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,57758, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, >50K\n54, Self-emp-not-inc,30908, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n71, Private,217971, 9th,5, Widowed, Sales, Unmarried, White, Female,0,0,13, United-States, <=50K\n51, Private,160703, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n32, Private,142675, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n75, ?,248833, HS-grad,9, Married-AF-spouse, ?, Wife, White, Female,2653,0,14, United-States, <=50K\n57, Private,171242, 11th,7, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Canada, <=50K\n34, Private,376979, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,175935, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,14084,0,40, United-States, >50K\n21, Private,277530, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,104501, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,94041, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, Ireland, <=50K\n37, Local-gov,593246, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n19, Private,121074, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,99, United-States, <=50K\n64, Private,192596, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n17, Private,142457, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n37, Private,136028, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,216145, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,4650,0,45, United-States, <=50K\n20, Private,157894, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n39, Self-emp-not-inc,164593, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,4787,0,40, United-States, >50K\n18, Private,252993, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Columbia, <=50K\n42, Private,145711, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K\n43, Private,358199, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,3103,0,40, United-States, >50K\n42, Private,219591, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, >50K\n53, Local-gov,205005, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, >50K\n52, Private,221936, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,120914, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n77, Self-emp-inc,155761, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,8, United-States, <=50K\n25, Private,195914, Some-college,10, Never-married, Sales, Own-child, Black, Female,3418,0,30, United-States, <=50K\n38, Local-gov,236687, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,318036, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,53306, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n27, Private,174645, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,321817, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Private,206948, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n47, Federal-gov,402975, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K\n72, ?,289930, Bachelors,13, Separated, ?, Not-in-family, White, Female,991,0,7, United-States, <=50K\n42, Private,367049, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,4650,0,40, United-States, <=50K\n36, Private,143486, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n42, Self-emp-inc,27187, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n24, Private,187717, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,378104, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,113870, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K\n42, Private,252518, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n24, Private,326334, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n41, Private,279914, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n29, Private,320451, HS-grad,9, Never-married, Protective-serv, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n36, Private,207853, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n78, Self-emp-inc,237294, HS-grad,9, Widowed, Sales, Not-in-family, White, Male,0,0,45, United-States, >50K\n43, Private,112181, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,1902,32, United-States, >50K\n34, State-gov,259705, Some-college,10, Separated, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n20, ?,117789, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Private,449432, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Federal-gov,89083, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,59612, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n21, Private,129980, 9th,5, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,108233, Assoc-acdm,12, Separated, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n30, Private,342709, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,126675, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,141118, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, ?,273701, Some-college,10, Never-married, ?, Other-relative, Black, Male,34095,0,10, United-States, <=50K\n46, Private,173243, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Local-gov,161092, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,209691, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, >50K\n36, Private,89508, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Private,399522, 11th,7, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, State-gov,136939, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n56, Local-gov,264436, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Private,199572, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n61, Federal-gov,28291, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n50, Private,215990, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n56, Self-emp-not-inc,179594, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n61, Self-emp-inc,139391, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,35, United-States, >50K\n45, Private,187370, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,7430,0,70, United-States, >50K\n31, Private,473133, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K\n60, Self-emp-not-inc,205246, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,2559,50, United-States, >50K\n26, Private,182308, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,51662, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n45, Private,289468, 11th,7, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,201954, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, >50K\n45, Self-emp-not-inc,26781, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n58, Private,100960, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,203761, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,2354,0,40, United-States, <=50K\n23, Private,213811, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n49, Private,124672, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,219300, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n22, Private,270436, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,212619, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,193586, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,3908,0,40, United-States, <=50K\n40, Private,84136, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K\n55, Federal-gov,264834, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, State-gov,98995, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,278254, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Private,167987, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Federal-gov,72887, Bachelors,13, Married-spouse-absent, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n17, Private,176467, 9th,5, Never-married, Transport-moving, Not-in-family, White, Male,0,0,20, United-States, <=50K\n51, Self-emp-not-inc,85902, 10th,6, Widowed, Transport-moving, Other-relative, White, Female,0,0,40, United-States, <=50K\n37, Private,223433, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n54, Self-emp-inc,108435, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,172496, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n35, Private,241998, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,245948, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,2174,0,40, United-States, <=50K\n23, Private,187513, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,440138, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,45, England, <=50K\n24, Private,218215, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n50, Private,158948, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,40, United-States, <=50K\n34, Private,94413, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,183598, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,192664, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,392812, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n21, Private,155818, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n32, Private,195000, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,308205, 5th-6th,3, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, Mexico, <=50K\n53, Private,104879, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,152307, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,145964, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,97419, HS-grad,9, Married-civ-spouse, Protective-serv, Wife, Black, Female,0,0,40, United-States, <=50K\n25, ?,12285, Some-college,10, Never-married, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K\n30, Private,263150, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,20, United-States, <=50K\n49, ?,189885, HS-grad,9, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n23, Private,151888, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,254167, 10th,6, Separated, Transport-moving, Own-child, White, Male,0,0,35, United-States, <=50K\n45, Local-gov,331482, Assoc-acdm,12, Divorced, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n61, Local-gov,177189, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, <=50K\n35, Private,186886, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K\n20, Private,33221, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n27, Private,188171, 10th,6, Never-married, Adm-clerical, Own-child, White, Male,0,0,60, United-States, <=50K\n23, Private,209770, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,164488, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K\n65, Local-gov,180869, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n25, Private,190350, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Private,137192, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,1977,50, South, >50K\n45, Private,204057, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, Germany, <=50K\n46, Private,198774, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,323,45, United-States, <=50K\n67, Private,134906, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K\n40, Private,174515, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Private,259363, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n44, Self-emp-not-inc,201742, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,50, United-States, >50K\n35, Private,209609, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n28, Private,185127, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,462838, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,48, United-States, <=50K\n37, Private,176967, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n54, Private,284129, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n33, Federal-gov,37546, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n46, Private,116666, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,120724, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,40, United-States, <=50K\n27, Private,314240, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n49, Private,423222, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n51, Private,201127, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n27, Private,202239, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,209629, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,165922, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n24, Private,133520, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n66, ?,99888, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,176410, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K\n35, Federal-gov,103214, Doctorate,16, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0,0,60, United-States, >50K\n34, Private,122612, Bachelors,13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,7688,0,50, Philippines, >50K\n50, Private,226735, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,70, United-States, >50K\n43, Self-emp-inc,151089, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n21, Private,244312, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,30, El-Salvador, <=50K\n33, Private,209317, 9th,5, Never-married, Other-service, Not-in-family, White, Male,0,0,45, El-Salvador, <=50K\n48, Private,99096, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,1590,38, United-States, <=50K\n22, Private,374116, HS-grad,9, Never-married, Priv-house-serv, Own-child, White, Female,0,0,36, United-States, <=50K\n29, Private,205249, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K\n42, Self-emp-not-inc,326083, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,183523, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Hungary, <=50K\n36, Private,350783, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K\n66, Local-gov,140849, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n44, Private,175943, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, <=50K\n45, Local-gov,125933, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Private,225124, HS-grad,9, Divorced, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n36, Private,272090, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, El-Salvador, <=50K\n48, Private,40666, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K\n19, Private,35245, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,167482, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,204662, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n32, Private,291147, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n49, Private,179869, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n51, Self-emp-not-inc,205100, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n20, Private,352139, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,29, United-States, <=50K\n39, Private,111268, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,247111, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,271446, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n29, Local-gov,132412, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-inc,74712, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n22, Private,94662, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K\n44, Self-emp-inc,33126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K\n43, Private,133584, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,103759, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3942,0,40, United-States, <=50K\n63, ?,64448, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,374367, Assoc-voc,11, Separated, Sales, Not-in-family, Black, Male,0,0,44, United-States, <=50K\n40, Private,179666, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, Canada, <=50K\n18, Private,99219, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n57, Self-emp-inc,180211, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, Taiwan, >50K\n54, Local-gov,219276, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n44, Private,150011, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,231231, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n40, Private,182217, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Scotland, <=50K\n29, Private,277342, Some-college,10, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n22, Private,140001, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,99651, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K\n45, Private,223319, Some-college,10, Divorced, Sales, Own-child, White, Male,0,0,45, United-States, <=50K\n52, Private,235307, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,206343, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,2174,0,40, Cuba, <=50K\n51, Local-gov,156003, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,529223, Bachelors,13, Never-married, Sales, Own-child, Black, Male,0,0,10, United-States, <=50K\n22, Private,202871, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,44, United-States, <=50K\n37, Private,58337, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n58, Federal-gov,298643, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n61, Private,191188, 10th,6, Widowed, Farming-fishing, Unmarried, White, Male,0,0,20, United-States, <=50K\n30, Private,96287, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n23, Private,104443, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Private,323054, 10th,6, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n18, Private,95917, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, Canada, <=50K\n34, Private,238305, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,1628,12, ?, <=50K\n23, Private,49296, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K\n23, Private,50953, Some-college,10, Never-married, Priv-house-serv, Own-child, White, Female,0,0,10, United-States, <=50K\n57, Private,124507, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n58, Private,239523, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n59, Self-emp-not-inc,309124, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,240172, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,105010, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, >50K\n44, Local-gov,135056, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,16, ?, <=50K\n25, Private,178478, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n33, Private,23871, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n22, Private,362309, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n21, Private,257781, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,1719,30, United-States, <=50K\n44, Private,175669, 11th,7, Married-civ-spouse, Prof-specialty, Wife, White, Female,5178,0,36, United-States, >50K\n50, Private,297906, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K\n44, Private,230684, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n53, ?,123011, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,170866, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n54, Local-gov,182543, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K\n60, Self-emp-not-inc,236470, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,33725, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n27, Private,188941, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,3908,0,40, United-States, <=50K\n43, Private,206878, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,60, United-States, <=50K\n33, Local-gov,173806, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,190709, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n41, Private,149102, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, Poland, <=50K\n21, Private,25265, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,100669, Some-college,10, Married-civ-spouse, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n27, Self-emp-inc,114158, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,228057, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,54012, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Federal-gov,219967, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,239865, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n35, State-gov,119421, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, >50K\n56, Self-emp-not-inc,220187, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, >50K\n41, Local-gov,33068, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,1974,40, United-States, <=50K\n41, Self-emp-not-inc,277783, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,2001,50, United-States, <=50K\n42, Private,175515, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, Local-gov,271795, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,70055, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,352806, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n57, Private,266189, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,42, United-States, <=50K\n49, Private,102945, 7th-8th,4, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,173851, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,144092, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,198681, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K\n33, Private,351810, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Mexico, <=50K\n52, Private,180142, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K\n37, Self-emp-inc,175360, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n30, Self-emp-inc,224498, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Self-emp-inc,154641, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,60, United-States, <=50K\n54, Local-gov,152540, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,42, United-States, <=50K\n52, Private,217663, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n22, Local-gov,138575, HS-grad,9, Never-married, Protective-serv, Unmarried, White, Male,0,0,56, United-States, <=50K\n19, ?,32477, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n65, Private,101104, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,9386,0,10, United-States, >50K\n32, Private,44677, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,456618, 7th-8th,4, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, El-Salvador, <=50K\n34, Private,227282, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,27624, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,55, United-States, <=50K\n24, Private,281403, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,98, United-States, <=50K\n63, Federal-gov,39181, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Female,0,2559,60, United-States, >50K\n48, Private,377140, 5th-6th,3, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,35, Nicaragua, <=50K\n26, Private,299810, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n28, Private,181916, Some-college,10, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,237044, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,12, United-States, <=50K\n57, Self-emp-inc,123053, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024,0,50, India, >50K\n64, State-gov,269512, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,44767, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,50, United-States, >50K\n28, Private,67218, 7th-8th,4, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n34, Private,176992, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,43712, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,45, United-States, >50K\n44, Private,379919, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n34, Private,104509, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,1639,0,20, United-States, <=50K\n18, Private,212370, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K\n36, Private,179666, 12th,8, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K\n73, Self-emp-not-inc,233882, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,2457,40, Vietnam, <=50K\n24, Private,197387, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Mexico, <=50K\n29, Local-gov,220656, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n33, Private,181091, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n57, Federal-gov,135028, HS-grad,9, Separated, Adm-clerical, Other-relative, Black, Female,0,0,35, United-States, <=50K\n41, Private,185057, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, ?, <=50K\n55, Private,106498, 10th,6, Widowed, Transport-moving, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n21, Private,203003, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,223789, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n26, Private,184026, Some-college,10, Never-married, Prof-specialty, Not-in-family, Other, Male,0,0,50, United-States, <=50K\n32, ?,335427, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, >50K\n40, Private,65866, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,213,40, United-States, <=50K\n32, Private,372692, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,45607, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n59, State-gov,303176, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2179,40, United-States, <=50K\n29, Private,138190, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,1138,40, United-States, <=50K\n29, Self-emp-not-inc,212895, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K\n59, Self-emp-inc,31359, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,80, United-States, >50K\n58, Private,147989, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,145290, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n44, Private,262684, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,1504,45, United-States, <=50K\n31, Private,132601, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,30759, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n19, Private,319889, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n66, Private,29431, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,111483, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n22, Private,184756, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n31, Private,651396, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,1594,30, United-States, <=50K\n30, Private,187560, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,84848, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K\n75, ?,36243, Doctorate,16, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, State-gov,88913, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,36, United-States, <=50K\n19, Private,73190, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n60, Private,132529, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,214542, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,217006, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,169785, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n30, Private,75573, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, Germany, <=50K\n37, Private,239171, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-not-inc,53566, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K\n20, Private,117109, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,24, United-States, <=50K\n32, Private,398019, 7th-8th,4, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,15, Mexico, <=50K\n18, Private,114008, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n24, Private,204653, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Local-gov,254935, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, <=50K\n76, ?,84755, Some-college,10, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n57, Local-gov,198145, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,14, United-States, >50K\n53, Private,174020, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,1876,38, United-States, <=50K\n19, Private,451951, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Local-gov,172175, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,209472, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n40, Private,336707, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Female,0,0,60, United-States, <=50K\n26, ?,431861, 10th,6, Separated, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-inc,156728, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n39, Federal-gov,290321, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n49, State-gov,206577, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,149324, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,7, United-States, <=50K\n33, ?,49593, Some-college,10, Married-civ-spouse, ?, Wife, Black, Female,0,0,30, United-States, <=50K\n50, Private,98975, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n28, Private,181659, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K\n30, Private,174789, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,102308, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n39, Private,184801, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,176014, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n50, Private,256861, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, <=50K\n37, Private,239397, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n26, Private,233777, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,236520, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,70754, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,245378, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n26, Private,176729, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, >50K\n32, Private,154120, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,40, United-States, >50K\n43, Private,88913, Some-college,10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female,1055,0,40, United-States, <=50K\n19, Private,517036, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, El-Salvador, <=50K\n38, Private,436361, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,75, United-States, <=50K\n38, Private,231037, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, <=50K\n65, Private,209831, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n70, Self-emp-not-inc,143833, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2246,40, United-States, >50K\n48, ?,167381, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,25, United-States, <=50K\n44, Private,215468, Bachelors,13, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,7, United-States, <=50K\n32, Private,200700, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Local-gov,191777, HS-grad,9, Never-married, Protective-serv, Own-child, Black, Female,0,0,40, United-States, <=50K\n49, Federal-gov,195437, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,149396, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n25, Private,104746, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,16, United-States, <=50K\n19, Private,108147, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n27, Private,238859, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, State-gov,23157, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n38, Private,497788, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n42, Private,141558, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n33, Federal-gov,117963, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, United-States, <=50K\n30, Private,232356, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,157941, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,103642, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,169727, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,274731, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,161572, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,45, United-States, <=50K\n38, Private,48779, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,141511, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,314153, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,55, United-States, >50K\n30, Private,168334, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K\n42, Local-gov,267252, Masters,14, Separated, Exec-managerial, Unmarried, Black, Male,0,0,45, United-States, >50K\n31, Self-emp-not-inc,312055, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n32, Private,207937, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,232653, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n63, Private,246841, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,154087, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,199011, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n51, Self-emp-not-inc,205100, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K\n36, Private,177907, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,2176,0,20, ?, <=50K\n24, Private,50400, Some-college,10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n41, Local-gov,97064, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,44, United-States, <=50K\n21, Private,65038, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,292472, Some-college,10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,1876,45, Cambodia, <=50K\n17, Private,225211, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K\n45, Private,320192, 1st-4th,2, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n39, State-gov,119421, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,625,35, United-States, <=50K\n21, Private,83580, Some-college,10, Never-married, Prof-specialty, Own-child, Amer-Indian-Eskimo, Female,0,0,4, United-States, <=50K\n29, Private,133696, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,45, United-States, >50K\n39, Private,141584, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,2444,45, United-States, >50K\n42, Private,529216, HS-grad,9, Separated, Transport-moving, Other-relative, Black, Male,0,0,40, United-States, <=50K\n22, Private,390817, 5th-6th,3, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K\n21, ?,85733, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Private,155976, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,221172, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n45, Private,270842, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,82622, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n58, Private,371064, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K\n45, Private,54744, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,40, United-States, >50K\n29, Private,22641, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,45, United-States, <=50K\n21, Private,218957, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K\n51, Private,441637, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,143699, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n40, Private,183096, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n45, Private,97176, 11th,7, Divorced, Adm-clerical, Unmarried, White, Female,0,0,16, United-States, <=50K\n38, Self-emp-not-inc,122493, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K\n22, Private,311376, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Private,78928, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,3137,0,40, United-States, <=50K\n62, Private,123582, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Federal-gov,174215, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K\n36, Private,183902, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,4, United-States, >50K\n43, Private,247880, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,256636, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n33, ?,152875, Bachelors,13, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,40, China, <=50K\n28, Private,22422, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,55, United-States, <=50K\n49, ?,178215, Some-college,10, Widowed, ?, Unmarried, White, Female,0,0,28, United-States, <=50K\n47, Local-gov,194360, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,7, United-States, >50K\n59, Private,247187, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,63921, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,224889, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,178564, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, <=50K\n57, Private,47619, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n41, Private,92775, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n37, Private,50837, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n20, Local-gov,235894, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,244974, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n20, Local-gov,526734, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n38, Self-emp-not-inc,243484, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,28, United-States, >50K\n23, Private,201664, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n24, Private,234640, HS-grad,9, Married-spouse-absent, Sales, Own-child, White, Female,0,0,36, United-States, <=50K\n46, Private,268022, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n32, Local-gov,223267, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n21, Self-emp-not-inc,99199, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,137076, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,115411, Some-college,10, Divorced, Sales, Own-child, White, Male,2174,0,45, United-States, <=50K\n51, Private,313146, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n69, Self-emp-not-inc,29980, 7th-8th,4, Never-married, Farming-fishing, Other-relative, White, Male,1848,0,10, United-States, <=50K\n39, Self-emp-inc,543042, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,50, United-States, >50K\n43, Private,271807, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Federal-gov,97934, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,5178,0,40, United-States, >50K\n43, Private,191196, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,264627, 11th,7, Divorced, Exec-managerial, Unmarried, White, Female,0,0,84, United-States, <=50K\n32, Private,183801, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,209227, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,21, United-States, <=50K\n64, Private,216208, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,377095, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n44, Private,317535, 1st-4th,2, Married-civ-spouse, Protective-serv, Other-relative, White, Male,0,0,40, Mexico, <=50K\n40, Private,247880, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,152246, Some-college,10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n23, Private,428299, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,161708, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n19, Private,167859, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n61, Private,85194, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,25, United-States, <=50K\n47, Self-emp-inc,119471, 7th-8th,4, Never-married, Craft-repair, Not-in-family, Other, Male,0,0,40, ?, <=50K\n39, Private,117683, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n51, Private,139347, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,40, United-States, >50K\n25, Private,427744, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,122116, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n34, State-gov,227931, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n54, Self-emp-not-inc,226497, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,83783, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Private,197113, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Other, Male,0,0,50, Puerto-Rico, <=50K\n33, Private,204742, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n63, ?,331527, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,14, United-States, <=50K\n31, Private,213179, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n70, Self-emp-inc,188260, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,16, United-States, <=50K\n43, Private,298161, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Nicaragua, <=50K\n36, Private,143774, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,12, United-States, >50K\n50, Local-gov,139296, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n21, Private,152389, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n31, Private,309974, Some-college,10, Separated, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n19, ?,37085, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n39, Private,270059, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n29, Private,130045, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n39, Private,188038, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Private,168203, 7th-8th,4, Never-married, Farming-fishing, Other-relative, Other, Male,0,0,40, Mexico, <=50K\n46, Private,171807, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n62, Private,186696, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,177531, 10th,6, Divorced, Other-service, Unmarried, Black, Female,0,0,23, United-States, <=50K\n28, Private,115464, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n19, Private,501144, Some-college,10, Never-married, Sales, Other-relative, Black, Female,0,0,40, United-States, <=50K\n61, Local-gov,180079, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,4064,0,40, United-States, <=50K\n18, Private,205894, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, ?, <=50K\n39, Self-emp-not-inc,218490, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,50, ?, >50K\n24, Local-gov,203924, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, <=50K\n38, Private,91857, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, <=50K\n38, Private,229700, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n17, Private,158704, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n28, Private,190911, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,139176, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,8, United-States, <=50K\n61, Private,119684, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,20, United-States, >50K\n69, Private,124930, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2267,40, United-States, <=50K\n19, Private,168693, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n26, Private,250038, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n34, Self-emp-inc,353927, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n70, Private,216390, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,2653,0,40, United-States, <=50K\n21, Private,230248, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n43, Private,117728, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n52, Private,115851, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,193335, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,203894, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n53, Self-emp-not-inc,100109, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n55, State-gov,157639, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n46, Self-emp-inc,235320, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K\n36, Private,127686, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K\n39, Private,28572, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,48, United-States, <=50K\n78, ?,91534, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,3, United-States, <=50K\n30, Private,184687, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K\n22, Private,267945, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K\n43, Private,131899, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,192614, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,56, United-States, <=50K\n36, Private,186808, Bachelors,13, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,40, United-States, >50K\n50, Private,44116, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Federal-gov,46442, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,0,0,35, United-States, <=50K\n46, Federal-gov,78022, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,417668, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n41, Private,223763, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n68, Private,223851, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,24, United-States, <=50K\n38, Local-gov,115634, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,114459, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,197093, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,20, United-States, <=50K\n31, Self-emp-not-inc,357145, Doctorate,16, Never-married, Prof-specialty, Own-child, White, Female,0,0,48, United-States, <=50K\n29, Private,59231, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K\n26, Private,292303, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Private,122288, Some-college,10, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,36, United-States, <=50K\n26, Federal-gov,52322, Bachelors,13, Never-married, Tech-support, Not-in-family, Other, Male,0,0,60, United-States, <=50K\n27, Local-gov,105830, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n36, Private,107125, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n28, Federal-gov,281860, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Private,283320, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, State-gov,26598, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,220783, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n21, ?,121694, 7th-8th,4, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,208302, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,34, United-States, <=50K\n34, Local-gov,172664, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,54611, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n64, Private,631947, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,394484, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n25, ?,239120, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,13, United-States, <=50K\n38, Federal-gov,37683, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,99999,0,57, Canada, >50K\n47, Local-gov,193012, Masters,14, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,50, United-States, >50K\n48, Private,143098, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1902,40, China, >50K\n57, Private,84888, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n37, Private,188503, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n37, Private,337778, 11th,7, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,94432, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, >50K\n32, Private,168906, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Private,116143, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,128272, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,14, United-States, <=50K\n64, Federal-gov,301383, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,45, United-States, >50K\n46, Private,174995, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n24, State-gov,289909, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,154641, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n23, Private,209034, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,3942,0,40, United-States, <=50K\n30, Private,203488, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K\n34, Private,141118, Masters,14, Divorced, Prof-specialty, Own-child, White, Female,0,0,60, United-States, >50K\n30, Private,169589, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,137645, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n58, Local-gov,489085, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K\n32, Private,36302, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n37, Private,253420, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K\n35, Private,269300, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n18, Private,282609, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,30, Honduras, <=50K\n46, Private,346978, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n71, Private,182395, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,11678,0,45, United-States, >50K\n44, Private,205051, 10th,6, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,128736, 10th,6, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,236110, 12th,8, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Cuba, >50K\n38, Private,312271, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,126978, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,40, China, <=50K\n47, Private,204692, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,195956, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,35, United-States, <=50K\n59, State-gov,202682, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,231912, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,37, United-States, <=50K\n44, Local-gov,24982, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n76, Private,278938, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n50, Local-gov,36489, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Local-gov,154874, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,74581, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n27, Private,311446, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,5178,0,40, United-States, >50K\n37, Self-emp-inc,162164, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,239708, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n49, Self-emp-not-inc,162856, Some-college,10, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n48, Self-emp-inc,85109, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n49, Private,169042, HS-grad,9, Separated, Prof-specialty, Unmarried, White, Female,0,625,40, Puerto-Rico, <=50K\n22, Private,436798, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,345363, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, England, <=50K\n36, Private,49837, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, ?,296516, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n30, State-gov,180283, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n40, Local-gov,95639, HS-grad,9, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n42, Private,33155, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n56, Private,329059, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Italy, >50K\n55, Private,24694, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,443855, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n52, ?,294691, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,301867, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,35, United-States, <=50K\n55, Private,226875, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K\n47, Private,362835, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,180339, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,65, United-States, <=50K\n55, Self-emp-inc,207489, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,50, Germany, <=50K\n43, Private,336643, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n31, Private,143653, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n62, State-gov,101475, Assoc-acdm,12, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Local-gov,263871, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,8, United-States, <=50K\n38, Self-emp-not-inc,77820, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,95465, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,42, United-States, <=50K\n26, Private,257910, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K\n26, Private,244372, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,52, United-States, >50K\n37, Self-emp-not-inc,126738, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K\n79, Self-emp-inc,97082, 12th,8, Widowed, Sales, Not-in-family, White, Male,18481,0,45, United-States, >50K\n61, Private,133164, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K\n28, Self-emp-not-inc,104617, 7th-8th,4, Never-married, Other-service, Other-relative, White, Female,0,0,99, Mexico, <=50K\n60, Self-emp-inc,105339, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K\n51, Self-emp-inc,258735, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,81, United-States, <=50K\n34, Private,182926, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, >50K\n35, Private,166193, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Local-gov,206125, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n44, Private,346594, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,108301, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n32, Private,73498, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,129150, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, >50K\n27, Private,181280, Masters,14, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,30, United-States, <=50K\n40, Private,146908, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n43, Private,183765, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, ?, >50K\n25, Private,164488, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,307468, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,93884, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n26, Private,279833, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,2258,45, United-States, >50K\n52, Private,137658, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Dominican-Republic, <=50K\n32, Private,101562, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n33, Private,136331, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,259846, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n48, Private,98719, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,44, United-States, <=50K\n62, Self-emp-not-inc,168682, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,5, United-States, <=50K\n40, Self-emp-not-inc,198953, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, Black, Female,0,0,2, United-States, <=50K\n41, ?,29115, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n28, Private,173673, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n23, Private,67958, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n50, Federal-gov,98980, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n51, State-gov,94174, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n63, Self-emp-not-inc,122442, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,48, United-States, <=50K\n63, Federal-gov,154675, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,116632, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K\n20, ?,238685, 11th,7, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, ?,139391, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,99999,0,30, United-States, >50K\n40, Private,169031, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,237452, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,15, Cuba, >50K\n41, Private,216968, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, ?, <=50K\n27, ?,216479, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,24, United-States, >50K\n20, State-gov,126822, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K\n28, Private,51461, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1887,40, United-States, >50K\n35, Private,54953, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,222654, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,37676, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n57, Private,159319, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,125321, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,209609, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,224947, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, State-gov,438427, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n26, Self-emp-not-inc,384276, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,196805, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,65, United-States, <=50K\n27, Private,242097, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,184306, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n45, Private,161954, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Germany, <=50K\n65, Private,258561, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n57, Self-emp-not-inc,95280, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,99999,0,45, United-States, >50K\n59, Private,212783, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n18, Private,205004, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,26, United-States, <=50K\n44, Local-gov,387844, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,83880, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,161155, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,265698, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n59, Self-emp-inc,146477, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,97261, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, State-gov,437890, HS-grad,9, Never-married, Exec-managerial, Unmarried, Black, Male,0,0,90, United-States, <=50K\n68, Self-emp-not-inc,133736, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,20051,0,40, United-States, >50K\n63, Private,169983, 11th,7, Widowed, Sales, Not-in-family, White, Female,2176,0,30, United-States, <=50K\n37, Private,126675, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,57, United-States, <=50K\n46, Local-gov,175754, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,1876,60, United-States, <=50K\n31, Private,121768, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, Poland, <=50K\n23, Private,180052, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,124454, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n49, Private,190115, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1672,44, United-States, <=50K\n36, Private,222584, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, Private,22245, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n46, Local-gov,114160, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,45, United-States, >50K\n24, Private,228960, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,132572, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n47, Private,103020, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female,0,0,40, Puerto-Rico, <=50K\n40, Private,187802, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1887,40, United-States, >50K\n31, Local-gov,50649, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n42, Private,137698, 5th-6th,3, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,35, Mexico, <=50K\n48, Self-emp-inc,30575, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, >50K\n56, Private,202220, Some-college,10, Separated, Tech-support, Unmarried, Black, Female,0,0,38, United-States, <=50K\n50, Private,50178, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,207791, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n21, Private,540712, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,1719,25, United-States, <=50K\n50, Private,321770, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Private,202053, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K\n34, Private,143699, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,15, United-States, <=50K\n32, Self-emp-not-inc,115066, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n28, Private,223751, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n62, Self-emp-inc,354075, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,32732, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K\n24, State-gov,390867, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n31, Private,101697, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n36, Private,279721, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,223400, Assoc-acdm,12, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female,0,0,35, Poland, <=50K\n46, ?,206357, 5th-6th,3, Married-civ-spouse, ?, Wife, White, Female,0,0,40, Mexico, <=50K\n39, Private,76417, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n48, ?,184682, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,18, United-States, <=50K\n21, Private,78170, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K\n39, Private,201410, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,189013, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n33, Private,119913, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,549174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n29, Local-gov,214706, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, ?,33811, Bachelors,13, Married-civ-spouse, ?, Wife, Other, Female,0,0,40, Taiwan, >50K\n43, Private,234220, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, Cuba, <=50K\n22, Private,237720, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,185942, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, >50K\n69, Local-gov,286983, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,140027, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n18, ?,115258, 11th,7, Never-married, ?, Own-child, White, Male,0,0,12, United-States, <=50K\n54, Private,155408, HS-grad,9, Widowed, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n65, ?,117963, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K\n28, Private,158737, 12th,8, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Male,0,0,40, Ecuador, <=50K\n27, Local-gov,199471, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,38, United-States, <=50K\n35, Private,287701, Assoc-acdm,12, Divorced, Craft-repair, Unmarried, White, Male,0,0,45, United-States, >50K\n38, Private,137707, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n33, State-gov,108116, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,366900, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-inc,187355, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,60, Canada, >50K\n38, Private,33105, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,70, United-States, >50K\n51, Self-emp-not-inc,268639, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,2057,60, Canada, <=50K\n26, Private,358975, Some-college,10, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,50, Hungary, <=50K\n33, Private,199227, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n44, Private,248249, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,460437, 9th,5, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,187294, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n44, Private,115932, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,181762, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,55, United-States, >50K\n21, Private,27049, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Private,806552, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n41, Private,150755, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, Canada, >50K\n62, Private,69867, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K\n27, Private,160786, 11th,7, Separated, Craft-repair, Not-in-family, White, Male,0,0,45, Germany, <=50K\n38, Private,219546, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n60, Private,24872, Some-college,10, Separated, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Female,0,0,30, United-States, <=50K\n24, Private,110371, 12th,8, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, Mexico, <=50K\n24, ?,376474, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,304602, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n32, ?,143699, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,238917, 1st-4th,2, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,24, Mexico, <=50K\n51, Private,200618, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,183043, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,48, United-States, >50K\n42, Local-gov,209752, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n48, ?,175653, Assoc-acdm,12, Divorced, ?, Not-in-family, White, Female,14084,0,40, United-States, >50K\n49, Private,196707, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,43, United-States, >50K\n37, Local-gov,98725, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,42, United-States, <=50K\n37, Self-emp-not-inc,180150, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n66, Private,151227, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n18, ?,118847, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,24, United-States, <=50K\n46, Private,282538, Assoc-voc,11, Separated, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n52, Private,89534, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,291011, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n67, Private,166187, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Male,0,0,38, United-States, >50K\n19, Private,188669, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n37, Private,178948, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n42, Self-emp-inc,188738, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, Italy, >50K\n39, Self-emp-not-inc,160808, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n54, Private,93605, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1848,40, United-States, >50K\n46, Private,318331, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, ?,109921, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,32, United-States, <=50K\n33, Private,87605, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n69, Self-emp-not-inc,89477, Some-college,10, Widowed, Farming-fishing, Not-in-family, White, Female,0,0,14, United-States, <=50K\n21, Private,48301, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,220748, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,48, United-States, <=50K\n39, Private,387068, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,250743, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n26, Private,78258, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K\n42, Private,31387, Doctorate,16, Married-spouse-absent, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n36, Private,289190, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, Private,604537, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, Mexico, <=50K\n35, Private,328466, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n42, Private,403187, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K\n37, Private,219546, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,44, United-States, >50K\n41, Private,220531, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,204648, Assoc-voc,11, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,201908, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n44, ?,109912, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,16, United-States, >50K\n18, Private,365683, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K\n41, Private,175674, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,203488, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,106406, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n67, Private,172756, 1st-4th,2, Widowed, Machine-op-inspct, Not-in-family, White, Female,2062,0,34, Ecuador, <=50K\n37, Private,125167, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n51, Private,249339, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,94652, Some-college,10, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n40, Private,195394, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n25, Private,130302, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n38, Private,66686, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,336042, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,193586, Some-college,10, Separated, Farming-fishing, Other-relative, White, Female,0,0,40, United-States, <=50K\n44, Private,325461, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n60, Local-gov,313852, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K\n38, Local-gov,30509, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1669,55, United-States, <=50K\n21, Local-gov,32639, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n18, Private,234953, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n49, Private,120629, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Female,27828,0,60, United-States, >50K\n43, Private,350379, 5th-6th,3, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,40, Mexico, <=50K\n26, ?,176967, 11th,7, Never-married, ?, Not-in-family, White, Female,0,0,65, United-States, <=50K\n36, Private,36423, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, United-States, >50K\n31, Private,123397, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,5178,0,35, United-States, >50K\n38, Private,130813, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,35236, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K\n58, Private,33350, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n55, Private,177380, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,29, United-States, <=50K\n39, Private,216129, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,35, Jamaica, <=50K\n38, Private,335104, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n54, Self-emp-not-inc,199741, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,2001,35, United-States, <=50K\n57, Self-emp-inc,165881, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,387777, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, <=50K\n44, Self-emp-not-inc,149943, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,60, Taiwan, >50K\n36, Private,188834, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,290661, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,155603, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,2205,40, United-States, <=50K\n25, Private,114838, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,8, Italy, <=50K\n54, Local-gov,168553, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,103064, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,123833, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n60, Federal-gov,55621, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n66, Local-gov,189834, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n36, Private,217926, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,50, United-States, <=50K\n29, Self-emp-not-inc,341672, HS-grad,9, Married-spouse-absent, Transport-moving, Other-relative, Asian-Pac-Islander, Male,0,1564,50, India, >50K\n29, Private,163003, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,2202,0,40, Taiwan, <=50K\n25, Private,194352, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,44, United-States, <=50K\n62, ?,54878, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n23, Private,393248, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,279315, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n33, Private,392812, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, >50K\n49, Self-emp-inc,34998, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n57, Self-emp-inc,51016, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n57, Local-gov,132717, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n46, Private,186078, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,45, United-States, <=50K\n37, Self-emp-inc,196123, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n43, Self-emp-inc,304906, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n26, Private,41521, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n40, Private,346847, Assoc-voc,11, Separated, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,107233, HS-grad,9, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n39, Private,150125, Assoc-acdm,12, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Private,400535, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,409622, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,36, Mexico, <=50K\n27, Private,136448, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,202950, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Iran, <=50K\n40, Local-gov,197012, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,8614,0,40, England, >50K\n57, Private,237691, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n24, Private,170277, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n30, Private,160784, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n28, Private,33798, 12th,8, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n22, Private,197838, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,223212, 7th-8th,4, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n33, Private,125762, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, >50K\n20, Private,283969, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,15, United-States, <=50K\n25, Private,374163, 12th,8, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0,0,60, Mexico, <=50K\n49, State-gov,118567, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,147655, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n45, Private,82797, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n36, Local-gov,142573, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n41, Private,235167, 5th-6th,3, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female,0,0,32, Mexico, <=50K\n23, Private,53245, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1602,12, United-States, <=50K\n47, Private,28035, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n41, Private,247082, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Private,123397, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Local-gov,133327, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,102270, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n64, ?,45817, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n55, Private,240988, 9th,5, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n19, Private,386378, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n31, State-gov,350651, 12th,8, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n18, State-gov,76142, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K\n68, Private,73773, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K\n50, ?,281504, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,293358, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,48, United-States, <=50K\n44, Private,146906, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n58, Self-emp-not-inc,331474, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n20, Private,213719, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n18, Private,101795, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,228265, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,30, United-States, <=50K\n49, Self-emp-not-inc,130206, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,324254, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,223019, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,189666, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,139086, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,359327, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, ?, <=50K\n44, Self-emp-not-inc,75065, 12th,8, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, Vietnam, <=50K\n55, Private,139843, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K\n21, Private,34310, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2603,40, United-States, <=50K\n54, Private,346014, Some-college,10, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K\n39, Local-gov,163278, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,2202,0,44, United-States, <=50K\n52, Private,31460, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,38, United-States, <=50K\n57, Self-emp-inc,33725, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n67, ?,63552, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n58, State-gov,300623, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Local-gov,177072, Some-college,10, Never-married, Prof-specialty, Other-relative, White, Male,0,0,16, United-States, <=50K\n66, ?,37331, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K\n41, Private,167725, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,131180, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,16, United-States, <=50K\n58, Private,275859, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Male,8614,0,52, Mexico, >50K\n50, Private,275181, 5th-6th,3, Divorced, Other-service, Not-in-family, White, Male,0,0,37, Cuba, <=50K\n31, Private,398988, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,222654, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,111129, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n26, Self-emp-not-inc,137795, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n33, Local-gov,242150, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n35, State-gov,237873, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n44, Private,367749, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Mexico, <=50K\n26, Private,206600, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, Mexico, <=50K\n48, Federal-gov,247043, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,187702, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n62, Private,41718, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n37, Private,151835, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n18, Private,118938, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,18, United-States, <=50K\n48, Private,224870, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, Other, Female,0,0,38, Ecuador, <=50K\n45, Private,178341, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,61343, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,36989, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,226296, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,51, United-States, <=50K\n29, Private,186624, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Cuba, <=50K\n19, Private,172582, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n53, State-gov,227392, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K\n49, Private,187563, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n71, Private,137499, HS-grad,9, Widowed, Sales, Other-relative, White, Female,0,0,16, United-States, <=50K\n38, Private,239397, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, Mexico, <=50K\n39, Local-gov,327164, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n23, Private,140798, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Self-emp-inc,187450, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,194580, 5th-6th,3, Divorced, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K\n41, Private,372682, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n20, Private,235442, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n30, Private,128065, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K\n56, Private,91545, 10th,6, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,36, United-States, <=50K\n26, Private,154604, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Federal-gov,192150, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Local-gov,216522, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,42, United-States, <=50K\n58, Private,156040, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,1848,40, United-States, >50K\n24, Private,206861, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,97632, Some-college,10, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,32, United-States, <=50K\n27, Private,189530, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n28, State-gov,381789, Some-college,10, Separated, Exec-managerial, Own-child, White, Male,0,2339,40, United-States, <=50K\n57, Self-emp-inc,368797, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n21, State-gov,41183, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n50, Private,191062, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,132963, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n58, Private,153551, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n27, Self-emp-not-inc,66473, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,240323, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,17, United-States, <=50K\n68, Local-gov,242095, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,40, United-States, >50K\n33, Self-emp-inc,128016, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,29526, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,18, United-States, <=50K\n26, Private,342953, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n37, Private,215476, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,30, United-States, <=50K\n53, Private,231919, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n32, Private,52537, Some-college,10, Never-married, Tech-support, Not-in-family, Black, Male,0,0,38, United-States, <=50K\n18, Private,27920, 11th,7, Never-married, Exec-managerial, Own-child, White, Female,0,0,25, United-States, <=50K\n53, Private,153052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-not-inc,199303, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,233369, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,345789, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,50, United-States, >50K\n60, Private,238913, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,46, United-States, >50K\n28, Self-emp-not-inc,195607, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n34, Private,245173, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,1669,45, United-States, <=50K\n37, Private,138441, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,67467, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,102569, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,65, United-States, >50K\n21, Private,213341, 11th,7, Married-spouse-absent, Handlers-cleaners, Own-child, White, Male,0,1762,40, Dominican-Republic, <=50K\n26, Private,37202, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n47, Private,140219, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n18, Private,298860, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n22, Private,51362, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,16, United-States, <=50K\n36, Private,199947, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K\n59, Self-emp-not-inc,32552, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n33, Private,183845, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,38, El-Salvador, <=50K\n33, Private,181091, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, England, <=50K\n53, Self-emp-inc,135643, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,50, South, <=50K\n44, State-gov,96249, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3411,0,40, United-States, <=50K\n55, Private,181220, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n56, Private,133025, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n54, Self-emp-not-inc,124865, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n51, Private,45599, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,194293, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,2463,0,38, United-States, <=50K\n43, Private,102180, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n44, Private,121130, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,138768, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,50, United-States, <=50K\n43, State-gov,98989, HS-grad,9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n26, State-gov,126327, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n30, Private,113364, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,18, United-States, <=50K\n30, Private,326199, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,2580,0,40, United-States, <=50K\n46, Private,376789, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,15, United-States, <=50K\n27, Private,137063, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,279145, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,178815, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,8614,0,40, United-States, >50K\n25, Self-emp-not-inc,245369, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n30, Federal-gov,49593, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n46, State-gov,238648, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,7298,0,40, United-States, >50K\n47, Private,166181, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,48, United-States, >50K\n66, Self-emp-inc,249043, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,5556,0,26, United-States, >50K\n43, Private,156403, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n71, ?,128529, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n36, Federal-gov,186934, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1848,55, United-States, >50K\n46, ?,148489, HS-grad,9, Married-spouse-absent, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n44, Local-gov,387770, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,15, United-States, <=50K\n42, Private,115511, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,201410, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1977,45, Philippines, >50K\n36, Private,220585, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n60, Self-emp-not-inc,282066, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K\n37, Private,280966, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,291586, Bachelors,13, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K\n24, Private,142227, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n17, ?,104025, 11th,7, Never-married, ?, Own-child, White, Male,0,0,18, United-States, <=50K\n45, Local-gov,148254, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n54, Private,170562, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n22, Private,222490, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n63, Local-gov,57674, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K\n22, Private,233624, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K\n27, Private,42734, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K\n33, Private,233107, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,33, Mexico, <=50K\n64, Private,143110, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n50, Private,195844, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n44, Self-emp-not-inc,115896, Assoc-voc,11, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,303851, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n44, Private,172475, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n53, Self-emp-not-inc,30008, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n33, Local-gov,147921, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Federal-gov,172716, 12th,8, Married-civ-spouse, Armed-Forces, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,155057, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K\n43, ?,152569, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,2339,36, United-States, <=50K\n80, Self-emp-not-inc,132728, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,20, United-States, <=50K\n31, Private,195136, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K\n40, Private,377322, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n53, Local-gov,293941, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,182123, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, <=50K\n38, Private,32528, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,140206, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n48, Local-gov,378221, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Mexico, >50K\n23, Private,211601, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,119411, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n52, Self-emp-not-inc,240013, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K\n24, Private,95552, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,183710, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,189382, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n52, Private,380633, 5th-6th,3, Widowed, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n54, Private,53407, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,150480, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n40, Private,175674, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,375313, HS-grad,9, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,50, United-States, <=50K\n21, ?,278391, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,16, United-States, <=50K\n23, Private,212888, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-inc,487085, 7th-8th,4, Never-married, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n22, Private,174461, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n55, Local-gov,133201, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n71, Private,77253, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,17, United-States, <=50K\n47, Private,141511, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n17, Self-emp-inc,181608, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,12, United-States, <=50K\n31, Private,127610, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n32, Private,154571, Some-college,10, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n46, Private,33842, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,40, United-States, >50K\n27, Private,150080, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Federal-gov,30916, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n40, Private,151294, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,48, United-States, <=50K\n30, Private,48829, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,1602,30, United-States, <=50K\n17, Private,193769, 9th,5, Never-married, Other-service, Unmarried, White, Male,0,0,20, United-States, <=50K\n33, Private,277455, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n72, Private,225780, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n34, Federal-gov,436341, Some-college,10, Married-AF-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n65, Private,255386, HS-grad,9, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K\n36, Private,174938, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,50, United-States, >50K\n32, Private,174789, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n26, Private,245628, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, Mexico, <=50K\n22, Private,228752, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,354148, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,48, United-States, >50K\n31, Private,192900, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,190391, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n38, Private,353263, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, Italy, >50K\n34, Private,113198, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,28, United-States, <=50K\n44, Private,207578, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n27, Private,93206, Some-college,10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n50, Local-gov,163998, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,44, United-States, >50K\n47, Private,111961, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,30, United-States, <=50K\n20, Private,219122, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,111445, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K\n29, Federal-gov,309778, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n37, Local-gov,223020, Assoc-voc,11, Never-married, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K\n42, Private,303155, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, ?,41035, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n68, Private,159191, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Local-gov,244408, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n72, Self-emp-not-inc,473748, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n45, Federal-gov,71823, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,20, United-States, <=50K\n30, Local-gov,83066, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Private,150154, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,190786, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,178033, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Male,4416,0,60, United-States, <=50K\n25, Self-emp-not-inc,159909, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,190885, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,40, Guatemala, <=50K\n25, Private,243786, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K\n31, State-gov,124020, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,159016, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, <=50K\n37, Private,183800, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n58, Self-emp-not-inc,193434, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n26, Private,245029, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n55, Private,98746, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, Canada, >50K\n46, Federal-gov,140664, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n44, Private,344920, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,1617,20, United-States, <=50K\n44, Private,169980, 11th,7, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,60, United-States, <=50K\n28, State-gov,155397, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K\n42, Private,245317, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,74182, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,280570, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n64, Self-emp-not-inc,30664, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n20, Private,109952, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n45, Local-gov,192793, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,243442, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n36, Federal-gov,106297, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,328060, 9th,5, Separated, Other-service, Unmarried, Other, Female,0,0,40, Mexico, <=50K\n33, Self-emp-not-inc,48702, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K\n51, Self-emp-not-inc,111283, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,99999,0,35, United-States, >50K\n36, Private,484024, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n40, Private,208470, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,172032, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,51, United-States, >50K\n40, Private,29927, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, England, <=50K\n46, Private,98012, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,108468, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n30, Private,207301, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,1980,40, United-States, <=50K\n26, Private,168403, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,66935, Bachelors,13, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,42044, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,184806, Prof-school,15, Never-married, Prof-specialty, Other-relative, White, Male,0,0,50, United-States, <=50K\n39, Private,1455435, Assoc-acdm,12, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,445382, Some-college,10, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n37, Private,278576, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, >50K\n79, Self-emp-not-inc,84979, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, >50K\n36, Private,659504, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, >50K\n44, Private,136986, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,278107, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1573,30, United-States, <=50K\n27, Private,96219, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n46, Self-emp-not-inc,131091, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n58, Private,205410, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,416745, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K\n36, Private,180667, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,60, United-States, >50K\n21, Private,72119, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n41, State-gov,108945, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,14344,0,40, United-States, >50K\n49, Federal-gov,195949, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,101345, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n29, Private,439263, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,35, Peru, <=50K\n63, Private,213095, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n29, Federal-gov,59932, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Private,172815, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,40915, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n42, Private,139012, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K\n44, Private,121781, Some-college,10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,37, United-States, <=50K\n51, ?,130667, HS-grad,9, Separated, ?, Not-in-family, Black, Male,0,0,6, United-States, <=50K\n41, Self-emp-not-inc,147110, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,25, United-States, <=50K\n22, Local-gov,237811, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Black, Female,0,0,35, Haiti, <=50K\n36, ?,128640, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, <=50K\n18, Private,111476, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Local-gov,289716, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,141944, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n49, Private,323773, 11th,7, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female,0,0,40, United-States, <=50K\n41, State-gov,176663, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n52, Private,155233, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Private,143327, Some-college,10, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Federal-gov,177212, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,123088, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n30, Local-gov,47085, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,102106, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,235894, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n71, Self-emp-not-inc,172046, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n20, Self-emp-not-inc,197207, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n26, Private,152452, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,172928, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K\n36, ?,214896, 9th,5, Divorced, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K\n49, Private,116338, HS-grad,9, Separated, Prof-specialty, Unmarried, White, Female,0,653,60, United-States, <=50K\n48, Private,276664, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K\n22, Private,59924, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Private,194141, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,1617,40, United-States, <=50K\n51, Private,95128, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,292504, Some-college,10, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Self-emp-inc,45796, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n42, Private,119359, Prof-school,15, Married-civ-spouse, Sales, Wife, Amer-Indian-Eskimo, Female,15024,0,40, South, >50K\n52, State-gov,104280, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n57, Private,172291, HS-grad,9, Divorced, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K\n35, Private,180988, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,39, United-States, <=50K\n52, Private,110748, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n59, ?,556688, 9th,5, Divorced, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K\n36, Private,22494, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,267859, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Cuba, >50K\n67, Local-gov,256821, HS-grad,9, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,20, United-States, <=50K\n31, Self-emp-not-inc,117346, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n31, Private,62374, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n28, Private,314659, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,42, United-States, <=50K\n72, ?,114761, 7th-8th,4, Widowed, ?, Unmarried, White, Female,0,0,20, United-States, <=50K\n36, Private,93225, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,165315, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K\n56, Private,124771, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,27408, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,198841, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,271792, Bachelors,13, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,64289, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,183390, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,240771, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,50, United-States, >50K\n30, Private,234919, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, El-Salvador, <=50K\n20, Private,88231, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,154422, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n37, Private,119098, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n53, State-gov,151580, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386,0,40, United-States, >50K\n54, Private,118793, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n32, ?,30499, Bachelors,13, Divorced, ?, Unmarried, White, Female,0,0,32, United-States, <=50K\n34, ?,166545, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,7688,0,6, United-States, >50K\n30, Private,271710, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, United-States, >50K\n43, State-gov,308498, HS-grad,9, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n48, Private,172695, Assoc-voc,11, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,29962, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n62, Private,200332, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,291702, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,67234, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n45, Private,168038, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,32, United-States, <=50K\n34, Private,137814, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n64, Private,126233, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n42, Self-emp-not-inc,79036, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K\n60, Self-emp-not-inc,327474, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K\n44, Private,145160, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,58, United-States, <=50K\n67, ?,37092, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,4, United-States, <=50K\n45, Private,129387, Assoc-acdm,12, Divorced, Tech-support, Unmarried, White, Female,0,0,40, ?, <=50K\n53, Self-emp-not-inc,33304, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n37, Private,359001, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,50, United-States, >50K\n32, ?,143162, 10th,6, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n23, Private,133515, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n28, Private,168901, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K\n55, Private,750972, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, <=50K\n58, Private,142924, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,24, United-States, >50K\n74, Self-emp-inc,228075, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,25, United-States, >50K\n27, Private,91189, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,290609, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n22, ?,31102, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,4, South, <=50K\n44, Self-emp-not-inc,216921, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,70, United-States, <=50K\n23, Private,120046, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,324629, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Yugoslavia, <=50K\n45, Private,81132, Some-college,10, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,55, United-States, >50K\n29, Private,160279, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n33, Private,229732, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, >50K\n61, Local-gov,144723, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K\n29, Private,148431, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, Other, Female,7688,0,45, United-States, >50K\n22, Private,160398, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,38, United-States, <=50K\n28, Private,129460, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, El-Salvador, <=50K\n30, Private,252752, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n20, Private,58222, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n28, ?,424884, 10th,6, Separated, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n45, Private,114459, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n19, ?,46400, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,24, United-States, <=50K\n42, Private,223934, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,84119, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,159123, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,195532, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,191299, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,198316, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,162301, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n35, Private,143152, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,3908,0,27, United-States, <=50K\n24, Private,92609, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K\n27, Private,247819, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K\n27, Local-gov,229223, Some-college,10, Never-married, Protective-serv, Own-child, White, Female,0,0,40, United-States, >50K\n45, Self-emp-inc,142719, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n80, Private,86111, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n23, State-gov,35633, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K\n46, Private,164749, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,607848, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,173630, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n90, Private,311184, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, ?, <=50K\n55, Private,49737, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n72, Private,183616, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, England, <=50K\n65, Private,129426, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,454915, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, State-gov,55568, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n38, Private,29874, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,393715, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n50, Private,143953, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n54, Private,90363, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,53727, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n30, Private,130021, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,40, United-States, <=50K\n50, Private,173630, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n28, Private,410351, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n34, Private,399386, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,53, United-States, <=50K\n55, Private,157932, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,133061, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n19, ?,46400, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,32, United-States, <=50K\n21, Private,107895, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,35, United-States, <=50K\n39, Private,63021, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n43, Private,186144, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n33, Local-gov,27959, HS-grad,9, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n26, Private,179569, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, State-gov,101299, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n31, State-gov,113129, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,65, United-States, <=50K\n32, Private,316470, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, Mexico, <=50K\n60, Self-emp-not-inc,89884, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,32121, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,315303, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n27, Private,254500, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,36, United-States, <=50K\n33, Private,419895, 5th-6th,3, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, Mexico, <=50K\n43, Private,159549, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,160786, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n18, Self-emp-not-inc,258474, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,370119, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,50837, 7th-8th,4, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n58, Private,137506, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,548256, 12th,8, Married-civ-spouse, Transport-moving, Husband, Black, Male,7688,0,40, United-States, >50K\n42, Local-gov,175642, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,99999,0,40, United-States, >50K\n24, Private,183594, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n26, Private,341353, Bachelors,13, Never-married, Other-service, Other-relative, White, Male,0,0,15, United-States, <=50K\n43, Self-emp-inc,247981, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,5455,0,50, United-States, <=50K\n34, Private,193565, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,39606, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,127149, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, >50K\n31, ?,233371, HS-grad,9, Married-civ-spouse, ?, Wife, Black, Female,0,0,45, United-States, <=50K\n49, Self-emp-not-inc,182752, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K\n26, Private,269060, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Private,179949, HS-grad,9, Divorced, Transport-moving, Unmarried, Black, Female,0,0,20, United-States, <=50K\n22, Federal-gov,32950, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,37, United-States, <=50K\n26, Private,160445, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,223999, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,1848,40, United-States, >50K\n39, Private,81487, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,625,40, United-States, <=50K\n23, Private,314539, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n62, ?,337721, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n42, Local-gov,100793, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n39, Federal-gov,255407, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Federal-gov,92775, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,33308, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,70, United-States, <=50K\n68, State-gov,493363, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n30, ?,159589, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,46, United-States, >50K\n32, Private,107218, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n25, Private,123586, Some-college,10, Never-married, Adm-clerical, Unmarried, Other, Male,0,0,40, United-States, <=50K\n53, Private,158352, 5th-6th,3, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,24, Italy, <=50K\n38, Private,76317, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n62, ?,176753, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,122346, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,463194, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,162228, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n43, State-gov,115005, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, State-gov,183285, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,36, United-States, <=50K\n34, Private,169605, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K\n24, Private,450695, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n44, Local-gov,124692, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n19, Private,63918, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,102569, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,289309, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,48, United-States, <=50K\n45, Private,101825, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K\n43, Private,206833, HS-grad,9, Separated, Handlers-cleaners, Unmarried, Black, Female,0,0,45, United-States, <=50K\n22, ?,77873, 9th,5, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n50, Private,145333, Doctorate,16, Divorced, Prof-specialty, Other-relative, White, Male,10520,0,50, United-States, >50K\n72, ?,194548, Some-college,10, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,3, United-States, <=50K\n29, Private,206351, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,198200, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n24, Private,140001, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, El-Salvador, <=50K\n22, ?,287988, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,15, United-States, <=50K\n21, Private,143604, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,146161, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K\n37, Private,196529, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,2354,0,40, ?, <=50K\n74, Self-emp-not-inc,192413, Prof-school,15, Divorced, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, <=50K\n70, Self-emp-not-inc,139889, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,2653,0,70, United-States, <=50K\n27, Private,104917, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Local-gov,161478, Bachelors,13, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,46, United-States, <=50K\n30, Private,35644, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n29, Local-gov,116751, Assoc-voc,11, Divorced, Protective-serv, Unmarried, White, Male,0,0,56, United-States, <=50K\n18, Private,238867, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,1602,40, United-States, <=50K\n31, Private,265706, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n39, State-gov,179668, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,70, United-States, <=50K\n21, Private,57951, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n31, Private,176711, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, <=50K\n33, Local-gov,368675, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,216149, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, >50K\n29, Private,173851, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,90705, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,1485,40, United-States, <=50K\n52, State-gov,216342, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K\n35, Private,140752, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K\n33, Private,116508, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, ?,224361, 9th,5, Divorced, ?, Unmarried, White, Female,0,0,5, Cuba, <=50K\n43, Private,180303, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K\n66, ?,196736, 1st-4th,2, Never-married, ?, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n51, Local-gov,110327, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,185607, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n17, Local-gov,244856, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Private,198068, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,97136, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n19, Self-emp-inc,164658, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K\n54, Private,235693, 11th,7, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K\n45, Private,197038, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n47, Local-gov,97419, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,208872, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1672,98, United-States, <=50K\n32, Private,205528, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Self-emp-inc,146042, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n39, Self-emp-inc,222641, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-inc,376936, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n42, Local-gov,138077, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,38, United-States, >50K\n24, Private,155913, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, <=50K\n45, Private,36006, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n19, Private,214678, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n46, Private,369538, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,166565, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,257043, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K\n47, Self-emp-inc,181130, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n69, ?,254834, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,10605,0,10, United-States, >50K\n43, Self-emp-not-inc,38876, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,187073, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Federal-gov,156996, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,2415,55, ?, >50K\n90, Private,313749, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K\n41, Private,331651, Prof-school,15, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, Japan, >50K\n24, Private,243368, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, Mexico, <=50K\n24, Private,32921, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K\n24, Private,117167, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,53, United-States, <=50K\n35, Private,401930, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1887,42, United-States, >50K\n30, Private,114691, Bachelors,13, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n46, Private,99385, Bachelors,13, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Local-gov,210308, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1721,30, United-States, <=50K\n39, Private,252327, 9th,5, Separated, Craft-repair, Own-child, White, Male,0,0,35, Mexico, <=50K\n43, Private,90582, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,190194, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Private,264188, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K\n34, Private,243776, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n41, Private,67065, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n24, Self-emp-not-inc,204209, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K\n24, Private,226668, HS-grad,9, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0,0,35, United-States, <=50K\n34, Self-emp-inc,174215, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,4787,0,45, France, >50K\n33, Private,315143, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Cuba, >50K\n37, Private,118681, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,38, Puerto-Rico, <=50K\n39, Self-emp-not-inc,208109, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n58, Private,116901, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n36, Self-emp-not-inc,405644, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Mexico, <=50K\n33, Federal-gov,293550, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,4064,0,40, United-States, <=50K\n42, Local-gov,328581, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n31, Private,217962, Some-college,10, Never-married, Protective-serv, Other-relative, Black, Male,0,0,40, ?, <=50K\n57, Private,158827, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n67, Federal-gov,65475, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,159709, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,140474, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n43, Private,144778, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, Italy, >50K\n39, Self-emp-not-inc,83242, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n36, Private,143385, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Local-gov,167544, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Female,0,0,13, United-States, <=50K\n25, Private,122175, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Private,378747, 10th,6, Separated, Transport-moving, Unmarried, Black, Male,0,0,45, United-States, >50K\n24, Private,230475, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n50, Self-emp-inc,120781, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,60, South, >50K\n70, Private,206232, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n61, Private,298400, Bachelors,13, Divorced, Sales, Not-in-family, Black, Male,4787,0,48, United-States, >50K\n51, Federal-gov,163671, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, <=50K\n38, Self-emp-not-inc,140583, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n51, Private,137253, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K\n28, Private,246974, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,182470, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, >50K\n57, Self-emp-inc,107617, HS-grad,9, Separated, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, >50K\n44, Self-emp-inc,116358, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, ?, >50K\n29, Private,250819, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,196508, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n42, Private,367533, 10th,6, Married-civ-spouse, Craft-repair, Own-child, Other, Male,0,0,43, United-States, >50K\n74, Private,188709, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n50, Private,271160, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Private,173674, HS-grad,9, Divorced, Other-service, Other-relative, White, Female,0,0,14, United-States, <=50K\n64, ?,257790, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,38, United-States, <=50K\n44, Private,322391, 11th,7, Separated, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n34, Private,209691, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386,0,50, United-States, >50K\n17, Private,104232, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n17, ?,86786, 10th,6, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Private,88233, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n32, Private,240888, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n54, Private,169719, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,3103,0,40, United-States, >50K\n20, Private,129240, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n23, Private,160968, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K\n34, Private,236861, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K\n30, Private,109282, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n32, Private,215047, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,115932, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Ireland, >50K\n28, Private,55360, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n44, Private,224658, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n29, Local-gov,376302, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,35, Nicaragua, >50K\n28, Private,183597, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,594,0,50, Germany, <=50K\n37, Private,115289, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-inc,258883, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,69132, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,207301, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,20, United-States, <=50K\n37, Private,179671, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,140456, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,327397, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K\n60, Private,200235, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,108435, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,2829,0,30, United-States, <=50K\n47, Private,195978, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,329144, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, >50K\n48, Self-emp-inc,250674, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n57, ?,176897, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K\n50, Self-emp-inc,132716, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, >50K\n62, Private,174201, 9th,5, Widowed, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K\n45, Private,167617, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n55, Local-gov,254949, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,319582, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K\n25, Private,248990, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Guatemala, <=50K\n49, Private,144396, 11th,7, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n32, State-gov,200469, Some-college,10, Never-married, Protective-serv, Unmarried, Black, Female,3887,0,40, United-States, <=50K\n25, Federal-gov,55636, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n39, Private,185624, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n27, Local-gov,125442, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n43, Private,160943, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, >50K\n30, Private,243841, HS-grad,9, Divorced, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, South, <=50K\n21, Private,34616, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n33, Private,235847, Prof-school,15, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n33, Private,174789, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n33, Private,280111, 11th,7, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K\n70, Private,236055, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n25, Private,237865, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,42, United-States, <=50K\n17, Private,194612, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n20, Private,173851, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,372483, Some-college,10, Never-married, Other-service, Other-relative, Black, Male,0,0,35, United-States, <=50K\n71, Federal-gov,422149, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,40, United-States, >50K\n31, Private,174201, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,272618, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n52, Private,74660, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,201481, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,175232, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n25, Private,336440, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,46645, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,9, United-States, <=50K\n48, State-gov,31141, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,40, United-States, >50K\n53, Private,281425, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n30, Self-emp-not-inc,31510, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n44, Private,310255, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n32, Federal-gov,82393, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,56, United-States, >50K\n59, Self-emp-not-inc,190514, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n49, Private,165513, Some-college,10, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K\n65, ?,178931, HS-grad,9, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male,3818,0,40, United-States, <=50K\n31, Private,226696, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n53, Private,195813, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Other, Male,5178,0,40, Puerto-Rico, >50K\n44, Private,165815, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,123983, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,55, Japan, >50K\n36, Private,235371, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,147258, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n63, ?,222289, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,7688,0,54, United-States, >50K\n67, Self-emp-inc,171564, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,20051,0,30, England, >50K\n29, Private,255949, Bachelors,13, Never-married, Sales, Unmarried, Black, Male,0,0,40, United-States, <=50K\n52, Private,186272, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,282872, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1628,40, United-States, <=50K\n21, Private,111676, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,199501, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,38, United-States, <=50K\n24, Private,151443, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Female,0,0,30, United-States, <=50K\n31, Private,145935, HS-grad,9, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, United-States, <=50K\n54, Federal-gov,230387, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n44, Private,127592, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,210828, Some-college,10, Never-married, Handlers-cleaners, Own-child, Other, Male,0,0,30, United-States, <=50K\n41, Private,297186, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, <=50K\n37, Self-emp-inc,116554, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,70, United-States, <=50K\n30, Private,144593, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, ?, <=50K\n26, State-gov,147719, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,20, India, <=50K\n68, Self-emp-not-inc,89011, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, Canada, <=50K\n31, Private,38158, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,178686, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n80, ?,172826, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n26, Private,155752, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n63, Private,100099, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,231688, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K\n30, ?,147215, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n42, Self-emp-inc,50122, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n64, Federal-gov,86837, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n32, Private,113364, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,289390, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, <=50K\n73, Private,77884, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n32, Private,390157, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n53, Private,89587, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,45, United-States, >50K\n58, Private,234328, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,365430, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n24, Private,410439, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,15, United-States, <=50K\n53, Private,129525, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,166527, Some-college,10, Never-married, Exec-managerial, Own-child, Other, Female,0,0,40, United-States, <=50K\n42, ?,109912, Assoc-acdm,12, Never-married, ?, Other-relative, White, Female,0,0,40, United-States, <=50K\n30, Private,210906, HS-grad,9, Married-civ-spouse, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K\n38, Private,405284, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n28, Private,138269, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,25429, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n45, Private,231672, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n26, Private,258550, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,268147, 9th,5, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,54411, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, ?, <=50K\n54, Private,37289, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, >50K\n23, Private,157951, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n43, Self-emp-inc,225165, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n37, Private,238049, 9th,5, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,30, El-Salvador, <=50K\n31, Private,197252, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n56, Self-emp-inc,216636, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1651,40, United-States, <=50K\n25, Private,183575, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Private,19752, 11th,7, Never-married, Other-service, Own-child, Black, Female,0,0,25, United-States, <=50K\n37, Private,103925, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,68, United-States, <=50K\n60, Private,31577, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n59, Federal-gov,61298, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n59, Federal-gov,190541, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n46, Self-emp-not-inc,366089, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n28, ?,389857, HS-grad,9, Married-civ-spouse, ?, Other-relative, White, Male,0,0,16, United-States, <=50K\n33, ?,192644, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,216129, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,1408,50, United-States, <=50K\n29, Private,51944, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,4386,0,40, United-States, >50K\n33, Self-emp-not-inc,67482, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,99, United-States, <=50K\n29, ?,108775, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Dominican-Republic, <=50K\n23, State-gov,279243, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,278391, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, Nicaragua, <=50K\n60, Private,349898, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,44, United-States, <=50K\n44, Private,219441, 10th,6, Never-married, Sales, Unmarried, Other, Female,0,0,35, Dominican-Republic, <=50K\n18, Private,173255, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,1055,0,25, United-States, <=50K\n52, Federal-gov,29623, 12th,8, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Private,217460, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n30, Private,163604, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,55, United-States, >50K\n33, Private,163110, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3781,0,40, United-States, <=50K\n20, Private,238685, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K\n27, ?,251854, Bachelors,13, Married-civ-spouse, ?, Wife, Black, Female,0,0,35, ?, >50K\n33, Private,213308, Assoc-voc,11, Separated, Adm-clerical, Own-child, Black, Female,0,0,50, United-States, <=50K\n25, Private,193773, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n63, Private,114011, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Female,0,0,20, United-States, <=50K\n63, Self-emp-not-inc,52144, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K\n43, Private,347934, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n58, Private,293399, 11th,7, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n70, ?,118630, Assoc-voc,11, Widowed, ?, Unmarried, White, Female,0,0,35, United-States, <=50K\n35, Private,127306, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,14344,0,40, United-States, >50K\n42, Private,366180, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n20, Local-gov,188950, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,25, United-States, <=50K\n35, Private,189382, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n62, Private,24515, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,283116, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,1506,0,50, United-States, <=50K\n43, Self-emp-not-inc,182217, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, <=50K\n19, Private,552354, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,163021, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Private,61885, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n36, Self-emp-not-inc,182898, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n45, Private,183092, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n48, Private,30289, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n29, Private,77572, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n48, State-gov,118330, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K\n36, Private,469056, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K\n58, Private,145574, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,302041, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n59, Private,32552, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,4, United-States, <=50K\n42, Private,185413, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n33, Federal-gov,26543, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n23, Federal-gov,163870, Some-college,10, Never-married, Armed-Forces, Other-relative, White, Male,0,0,40, United-States, <=50K\n21, Private,240063, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n48, Private,208748, 5th-6th,3, Divorced, Machine-op-inspct, Unmarried, Other, Female,0,0,40, Dominican-Republic, <=50K\n32, Local-gov,84119, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,84130, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n66, Local-gov,261062, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Local-gov,336010, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,32, United-States, <=50K\n52, Private,389270, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n17, Private,138293, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n35, Private,240389, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, >50K\n39, Private,190297, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,55, United-States, >50K\n21, ?,170070, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,10, United-States, <=50K\n24, Private,149457, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,81534, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,84, Japan, >50K\n25, Private,378322, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,2001,50, United-States, <=50K\n29, Federal-gov,196912, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n56, Private,116143, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,44, United-States, >50K\n34, Self-emp-not-inc,80933, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n64, Local-gov,190660, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n27, Private,120155, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,39, United-States, <=50K\n47, Private,167159, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n36, Private,58343, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,3103,0,42, United-States, >50K\n44, Federal-gov,161240, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,126402, HS-grad,9, Never-married, Farming-fishing, Not-in-family, Black, Female,0,0,60, United-States, <=50K\n23, Private,148709, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K\n45, Local-gov,318280, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n31, Local-gov,80058, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,64, United-States, <=50K\n45, Private,274689, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n42, Private,157367, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, ?, <=50K\n33, Private,217460, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n33, Local-gov,33727, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,166961, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n25, Private,146117, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,42, United-States, <=50K\n33, Private,160216, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,32, ?, <=50K\n70, Self-emp-not-inc,124449, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2246,8, United-States, >50K\n22, Private,50163, 9th,5, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,235271, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,121124, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n43, Self-emp-not-inc,144218, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n37, Private,94334, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,25, United-States, <=50K\n59, Self-emp-inc,169982, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n51, Self-emp-not-inc,35295, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,45, United-States, <=50K\n47, Private,133969, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,2885,0,65, Japan, <=50K\n36, Private,35429, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n73, Local-gov,205580, 5th-6th,3, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,6, United-States, <=50K\n32, Local-gov,177794, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,167474, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n51, Local-gov,35211, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n20, Private,117244, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,45, United-States, <=50K\n57, Private,194850, Some-college,10, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, Mexico, <=50K\n19, Private,144911, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n45, Private,197240, 12th,8, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n55, Private,101338, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n60, Private,148522, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n19, Private,97261, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,166606, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,229414, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K\n34, Local-gov,209213, Bachelors,13, Never-married, Prof-specialty, Other-relative, Black, Male,0,0,15, United-States, <=50K\n26, Private,291968, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K\n73, Federal-gov,127858, Some-college,10, Widowed, Tech-support, Not-in-family, White, Female,3273,0,40, United-States, <=50K\n27, Private,302406, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n37, Self-emp-not-inc,29054, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,84, United-States, <=50K\n73, Self-emp-not-inc,336007, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n46, Federal-gov,349230, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,1848,40, United-States, >50K\n36, Local-gov,101481, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,46704, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n49, Private,233639, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n68, Local-gov,31725, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,54850, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1590,50, United-States, <=50K\n30, Private,293512, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n28, Private,375655, Bachelors,13, Never-married, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K\n28, Private,105817, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n25, Local-gov,203408, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,162302, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n40, Private,163455, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,55, United-States, >50K\n32, Local-gov,100135, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, ?,41517, 11th,7, Married-spouse-absent, ?, Unmarried, Black, Female,0,0,20, United-States, <=50K\n18, Private,102182, 12th,8, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,30, United-States, <=50K\n36, Private,414683, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K\n26, Private,194352, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Private,194096, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Female,0,0,45, United-States, <=50K\n90, Local-gov,153602, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,6767,0,40, United-States, <=50K\n20, Private,215495, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K\n27, Private,164607, Bachelors,13, Separated, Tech-support, Own-child, White, Male,0,0,50, United-States, <=50K\n58, Local-gov,34878, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n37, Private,126569, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n65, ?,315728, HS-grad,9, Widowed, ?, Unmarried, White, Female,2329,0,75, United-States, <=50K\n28, Private,22422, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,178222, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n45, Local-gov,56841, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,300275, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K\n69, Local-gov,197288, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n58, Self-emp-not-inc,157786, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,110684, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n58, Self-emp-not-inc,140729, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n53, Federal-gov,90127, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K\n44, Self-emp-inc,37997, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,61308, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,171199, Bachelors,13, Divorced, Machine-op-inspct, Unmarried, Other, Female,0,0,40, Puerto-Rico, <=50K\n48, Private,128432, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n46, Federal-gov,195023, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,122473, 9th,5, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,625,40, United-States, <=50K\n43, Private,171888, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Self-emp-inc,183784, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n20, Private,219262, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,71379, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n19, ?,234519, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K\n35, Private,96824, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,242597, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, ?,127388, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,204536, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n54, Private,143804, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,80680, Some-college,10, Married-civ-spouse, Sales, Own-child, White, Female,0,0,16, United-States, <=50K\n36, Private,301227, 5th-6th,3, Separated, Priv-house-serv, Unmarried, Other, Female,0,0,35, Mexico, <=50K\n26, Self-emp-not-inc,201930, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n25, Local-gov,176616, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,353219, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,126076, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Female,0,0,50, United-States, <=50K\n31, Private,156493, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Federal-gov,435503, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n52, Self-emp-inc,561489, Masters,14, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,50, United-States, <=50K\n22, Federal-gov,100345, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,43, United-States, <=50K\n18, Private,36275, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,25, United-States, <=50K\n46, Private,110794, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Local-gov,143766, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Federal-gov,76313, HS-grad,9, Married-civ-spouse, Armed-Forces, Other-relative, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K\n31, Private,121308, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,216672, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,89942, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,3674,0,45, United-States, <=50K\n45, State-gov,103406, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K\n30, State-gov,158291, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,455361, 9th,5, Never-married, Other-service, Unmarried, White, Male,0,0,35, Mexico, <=50K\n44, Private,225263, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,1408,46, United-States, <=50K\n54, Private,225307, 11th,7, Divorced, Craft-repair, Own-child, White, Female,0,0,50, United-States, >50K\n36, Private,286115, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,187830, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n26, Private,142506, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K\n47, Local-gov,148576, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n36, Private,185325, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,37, United-States, <=50K\n32, Self-emp-not-inc,27939, Some-college,10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n21, Private,383603, 10th,6, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n30, Private,140790, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n34, Private,226629, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n51, Private,228516, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,45, Columbia, <=50K\n55, Self-emp-not-inc,119762, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n43, Private,299197, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,149297, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K\n28, Local-gov,202558, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,175232, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n35, Self-emp-not-inc,157473, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, ?,409842, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n26, Private,105787, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,36, United-States, <=50K\n68, Private,144056, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,3818,0,40, United-States, <=50K\n46, Private,45363, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,2824,40, United-States, >50K\n21, Private,205838, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,37, United-States, <=50K\n23, Private,115326, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n17, Private,186890, 10th,6, Married-civ-spouse, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n23, Local-gov,304386, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,24529, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Male,0,0,15, United-States, <=50K\n33, Private,183557, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,342730, Assoc-acdm,12, Separated, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n31, ?,182191, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,4064,0,30, Canada, <=50K\n56, Self-emp-not-inc,67841, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,351381, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Private,293691, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,1590,40, Japan, <=50K\n41, Self-emp-inc,220821, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n26, Private,190027, 10th,6, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,30, United-States, <=50K\n41, Private,343944, 11th,7, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Self-emp-inc,110457, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n47, State-gov,72333, HS-grad,9, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,193494, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,334999, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n44, Self-emp-not-inc,274363, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n58, Self-emp-inc,113806, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,30, United-States, >50K\n25, Private,52536, Assoc-acdm,12, Divorced, Tech-support, Own-child, White, Female,0,1594,25, United-States, <=50K\n44, Private,187720, Assoc-voc,11, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n57, Private,104996, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K\n24, Private,214555, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,52963, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n33, Private,190511, 7th-8th,4, Divorced, Handlers-cleaners, Not-in-family, White, Male,2176,0,35, United-States, <=50K\n25, Private,75821, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n33, Private,123291, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,84, United-States, >50K\n50, Local-gov,226497, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, >50K\n35, Private,282979, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,5178,0,50, United-States, >50K\n36, Private,166549, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,55, United-States, >50K\n27, Private,187746, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,157145, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n30, Private,227551, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n90, Private,115306, Masters,14, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,169249, HS-grad,9, Separated, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K\n34, State-gov,221966, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n39, Private,224566, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n19, Private,28119, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,4, United-States, <=50K\n19, Private,323810, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,210498, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,174995, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,2290,0,30, Hungary, <=50K\n38, Private,161141, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K\n44, Private,210534, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n34, Self-emp-not-inc,112650, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n35, State-gov,318891, Assoc-acdm,12, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Local-gov,375655, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,228465, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n33, ?,102130, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n73, Private,183213, Assoc-voc,11, Widowed, Prof-specialty, Not-in-family, White, Male,25124,0,60, United-States, >50K\n35, Local-gov,177305, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2377,40, United-States, <=50K\n41, Private,34037, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,116613, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,50, United-States, <=50K\n25, Private,175540, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n47, Private,150768, Bachelors,13, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,1564,51, United-States, >50K\n36, Private,176634, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,35, United-States, >50K\n36, Private,209993, 1st-4th,2, Widowed, Other-service, Other-relative, White, Female,0,0,20, Mexico, <=50K\n25, Local-gov,206002, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,201259, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K\n26, Local-gov,202286, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,96062, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1740,40, United-States, <=50K\n36, Local-gov,578377, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n30, Private,509500, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,4787,0,45, United-States, >50K\n53, Local-gov,324021, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,107737, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n41, State-gov,129865, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n53, Private,103586, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,55, United-States, <=50K\n23, Private,187513, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,32, United-States, <=50K\n28, Private,172891, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n53, Local-gov,207449, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,209103, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, >50K\n33, Private,408813, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n27, Private,209292, HS-grad,9, Never-married, Sales, Other-relative, Black, Female,0,0,32, Dominican-Republic, <=50K\n52, Private,144361, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n31, Private,209538, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, <=50K\n27, Private,244402, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n44, Private,889965, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,3137,0,30, United-States, <=50K\n37, Self-emp-not-inc,298444, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,163237, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n18, Private,311795, 12th,8, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n42, Private,155972, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,291783, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,153535, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,36, United-States, <=50K\n43, Private,249771, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,99, United-States, <=50K\n43, Private,462180, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K\n31, Private,308540, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,34701, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Federal-gov,106252, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,138944, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n37, Private,140713, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, Jamaica, >50K\n53, Local-gov,216931, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,4386,0,40, United-States, >50K\n26, Private,162312, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,20, Philippines, <=50K\n59, Self-emp-inc,253062, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n36, Federal-gov,359249, Some-college,10, Separated, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n32, Private,231413, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n53, Local-gov,197054, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,130931, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n35, Private,30565, HS-grad,9, Married-AF-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K\n48, Private,105138, HS-grad,9, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n30, Local-gov,178383, Some-college,10, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n38, Private,241998, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n58, Self-emp-not-inc,196403, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,10, United-States, >50K\n44, Private,232421, HS-grad,9, Married-spouse-absent, Transport-moving, Not-in-family, Other, Male,0,0,32, Canada, <=50K\n30, Private,130369, Assoc-voc,11, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n68, Self-emp-not-inc,336329, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, <=50K\n26, Local-gov,337867, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n26, Local-gov,104614, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Private,223548, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n43, State-gov,506329, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024,0,40, ?, >50K\n48, Private,64479, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,47, United-States, <=50K\n55, Private,284095, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,37, United-States, <=50K\n50, Self-emp-not-inc,221336, Some-college,10, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, ?, <=50K\n41, Private,428499, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,50, United-States, >50K\n52, Private,208302, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,36, United-States, <=50K\n24, ?,412156, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, Mexico, <=50K\n31, Self-emp-not-inc,182177, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n54, Local-gov,129972, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, >50K\n31, Self-emp-not-inc,186420, Masters,14, Separated, Tech-support, Not-in-family, White, Female,0,0,25, United-States, <=50K\n31, Self-emp-inc,203488, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n47, Private,128796, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,55395, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n46, State-gov,314770, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K\n45, Private,135044, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,319248, 10th,6, Never-married, Other-service, Unmarried, White, Female,0,0,25, Mexico, <=50K\n34, Local-gov,236415, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,18, United-States, <=50K\n48, ?,151584, Some-college,10, Never-married, ?, Not-in-family, White, Male,8614,0,60, United-States, >50K\n19, ?,133983, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n56, Private,81220, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Canada, <=50K\n47, Private,151087, HS-grad,9, Separated, Prof-specialty, Other-relative, Other, Female,0,0,40, Puerto-Rico, <=50K\n35, Private,322171, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K\n25, Private,190628, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Columbia, <=50K\n43, Local-gov,106982, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n59, Private,227856, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,37, United-States, >50K\n66, ?,213477, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,10, United-States, <=50K\n63, Private,266083, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n32, Private,257068, Some-college,10, Married-spouse-absent, Transport-moving, Not-in-family, White, Female,0,0,37, United-States, <=50K\n58, ?,37591, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-inc,150533, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0,0,50, United-States, >50K\n27, Private,211184, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,52, United-States, <=50K\n21, Private,136610, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,32, United-States, <=50K\n44, Federal-gov,244054, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, >50K\n40, Self-emp-not-inc,240698, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n65, Private,172906, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, Private,238959, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n18, ?,163085, HS-grad,9, Separated, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n51, State-gov,172022, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n44, Federal-gov,218062, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n20, Private,201799, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,13, United-States, <=50K\n29, Private,150717, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,94391, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n50, Local-gov,153064, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K\n43, Private,156771, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,216639, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,82161, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n30, ?,159159, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,30, United-States, <=50K\n58, Self-emp-not-inc,310014, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K\n50, State-gov,133014, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,36214, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, >50K\n21, Private,399022, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,24, United-States, <=50K\n33, Private,179758, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,20, United-States, <=50K\n52, Private,48947, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n47, Private,201865, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,319122, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,14084,0,45, United-States, >50K\n34, Private,155151, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,24106, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Philippines, >50K\n31, Private,257863, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K\n19, ?,28967, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,379393, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,45, United-States, <=50K\n45, Self-emp-not-inc,152752, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,3, United-States, <=50K\n34, Private,154874, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,4416,0,30, United-States, <=50K\n27, Private,154210, 11th,7, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Male,0,0,35, India, <=50K\n37, Private,335716, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,94744, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K\n32, Private,133861, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,13550,0,48, United-States, >50K\n24, Private,240137, 1st-4th,2, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, Mexico, <=50K\n39, Private,80004, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,109702, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n62, Self-emp-not-inc,39610, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K\n24, Private,90046, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,193855, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n46, Private,206889, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n44, Private,86298, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,149650, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,2559,48, United-States, >50K\n25, Private,323139, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n44, Private,237993, Prof-school,15, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, ?, <=50K\n24, Private,36058, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n61, Private,163393, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n45, Local-gov,93535, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,112952, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,48, United-States, <=50K\n48, Private,182541, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K\n26, Local-gov,73392, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K\n40, ?,507086, HS-grad,9, Divorced, ?, Not-in-family, Black, Female,0,0,32, United-States, <=50K\n68, Private,195868, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,20051,0,40, United-States, >50K\n24, Private,276851, HS-grad,9, Divorced, Protective-serv, Own-child, White, Female,0,1762,40, United-States, <=50K\n25, ?,39901, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K\n31, Local-gov,33124, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n55, Private,419732, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K\n46, Private,171095, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,0,0,38, United-States, <=50K\n58, Private,199278, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,38, United-States, <=50K\n56, Private,235205, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Federal-gov,168232, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,55, United-States, >50K\n24, Private,145964, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K\n35, Local-gov,72338, HS-grad,9, Divorced, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0,0,56, United-States, <=50K\n51, Private,153870, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,323798, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,55, United-States, >50K\n17, Private,198830, 11th,7, Never-married, Adm-clerical, Other-relative, White, Female,0,0,10, United-States, <=50K\n21, Private,267040, 10th,6, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n45, Private,167187, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n42, Private,230684, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,5178,0,50, United-States, >50K\n56, Private,659558, 12th,8, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n39, Private,181661, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,186144, 7th-8th,4, Never-married, Machine-op-inspct, Not-in-family, Other, Female,0,0,40, Mexico, <=50K\n20, Federal-gov,178517, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n65, Self-emp-not-inc,131417, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,1797,0,21, United-States, <=50K\n44, Private,57233, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n33, Private,379798, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,122175, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n38, Private,107302, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n31, Local-gov,127651, 10th,6, Never-married, Transport-moving, Other-relative, White, Male,0,1741,40, United-States, <=50K\n33, Self-emp-not-inc,102884, Bachelors,13, Married-civ-spouse, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n49, Self-emp-not-inc,241753, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,173611, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,232666, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,352207, Assoc-voc,11, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n37, Self-emp-not-inc,241998, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,5, United-States, >50K\n52, Private,279129, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,37, United-States, >50K\n27, Private,177057, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,155659, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,55, United-States, >50K\n21, Private,251603, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Federal-gov,19914, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K\n61, Private,115023, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,101709, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n21, Private,313702, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n63, Private,250068, 12th,8, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,227359, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,42, United-States, <=50K\n21, State-gov,196827, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Male,0,0,10, United-States, <=50K\n44, Private,118550, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,33, United-States, <=50K\n26, Private,285004, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,35, South, <=50K\n36, Private,280169, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n39, Private,144608, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, >50K\n52, Private,76860, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,8, Philippines, <=50K\n44, Self-emp-not-inc,167280, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,334783, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n60, ?,141580, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,226443, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,366065, Some-college,10, Never-married, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n23, Private,225724, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K\n81, State-gov,132204, 1st-4th,2, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n39, Private,258276, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,3137,0,40, ?, <=50K\n38, Private,197711, 10th,6, Divorced, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Portugal, <=50K\n21, Private,30619, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n28, Local-gov,335015, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,61272, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,106544, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,144169, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,40295, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,99, United-States, <=50K\n56, Private,266091, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,2907,0,52, Cuba, <=50K\n57, Private,143030, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,30, ?, <=50K\n42, State-gov,192397, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K\n43, Private,114351, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n48, ?,63466, HS-grad,9, Married-spouse-absent, ?, Unmarried, White, Female,0,0,32, United-States, <=50K\n53, Private,132304, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Scotland, <=50K\n58, Private,128162, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K\n19, Private,125938, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,40, El-Salvador, <=50K\n37, Private,170174, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,46, United-States, >50K\n41, Self-emp-not-inc,203451, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K\n31, Private,109917, 7th-8th,4, Separated, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,114937, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n53, Local-gov,231196, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,238474, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K\n56, Private,314149, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n55, Federal-gov,31728, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n51, Private,360131, 5th-6th,3, Married-civ-spouse, Craft-repair, Other-relative, White, Female,0,0,40, United-States, <=50K\n62, Private,141308, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,83411, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n45, ?,119835, 7th-8th,4, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K\n28, Local-gov,296537, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n46, Private,193047, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n62, State-gov,39630, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n57, Local-gov,213975, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n60, Local-gov,259803, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n23, Federal-gov,55465, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,181307, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,99999,0,60, United-States, >50K\n21, Private,211301, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,8, United-States, <=50K\n51, Private,200450, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, <=50K\n61, Local-gov,176731, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,140985, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,99999,0,30, United-States, >50K\n76, Private,125784, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,152176, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,39, United-States, <=50K\n31, Self-emp-not-inc,111423, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n43, Private,130126, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n58, Federal-gov,30111, Some-college,10, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n18, ?,214989, Some-college,10, Never-married, ?, Own-child, White, Female,0,1602,24, United-States, <=50K\n19, Private,272800, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n44, Private,195881, Some-college,10, Divorced, Exec-managerial, Other-relative, White, Female,0,0,45, United-States, <=50K\n41, Local-gov,170924, Some-college,10, Never-married, Prof-specialty, Other-relative, White, Male,0,0,7, United-States, <=50K\n21, Private,131473, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,20, Vietnam, <=50K\n40, Private,149466, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n25, Private,190418, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, Canada, <=50K\n62, Local-gov,167889, Doctorate,16, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, Iran, <=50K\n42, Private,177989, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,186035, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,195805, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K\n60, Private,54800, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n20, Private,100605, HS-grad,9, Never-married, Sales, Own-child, Other, Male,0,0,40, Puerto-Rico, <=50K\n23, Private,253190, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, United-States, <=50K\n18, Private,203301, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,175696, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n19, Private,278304, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n51, Private,93193, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Local-gov,158688, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K\n18, Private,327612, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Private,210844, Some-college,10, Married-spouse-absent, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n27, Private,147340, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n71, Self-emp-not-inc,130436, 1st-4th,2, Divorced, Craft-repair, Not-in-family, White, Female,0,0,28, United-States, <=50K\n25, Private,206600, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, El-Salvador, <=50K\n73, Private,284680, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n45, Private,127738, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,213412, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,287927, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,16, United-States, <=50K\n44, Private,249332, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Ecuador, <=50K\n44, Local-gov,290403, Assoc-voc,11, Divorced, Protective-serv, Own-child, White, Female,0,0,40, Cuba, <=50K\n49, Private,54772, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,45, United-States, >50K\n44, Self-emp-inc,56651, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, United-States, >50K\n42, Federal-gov,178470, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,62865, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,45, United-States, <=50K\n66, Private,107196, HS-grad,9, Widowed, Tech-support, Not-in-family, White, Female,0,0,18, United-States, <=50K\n19, Private,86860, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,15, United-States, <=50K\n60, Private,130684, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n46, Private,164682, Assoc-voc,11, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,198316, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n59, Private,261816, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,52, Outlying-US(Guam-USVI-etc), <=50K\n58, Private,280309, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,60, United-States, >50K\n47, Private,97176, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n58, Private,95835, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,36, United-States, <=50K\n69, ?,323016, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,99999,0,40, United-States, >50K\n17, ?,280670, 10th,6, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,136306, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,24, United-States, <=50K\n28, Private,65171, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,70, United-States, <=50K\n37, Private,25864, HS-grad,9, Separated, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n30, Private,149531, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,33887, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,172822, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,2824,76, United-States, >50K\n59, Private,106748, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,99, United-States, <=50K\n45, Private,131826, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n53, Local-gov,216691, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,10520,0,40, United-States, >50K\n37, Private,133328, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,164737, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Local-gov,99064, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, State-gov,59460, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, <=50K\n27, Private,208725, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,138513, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,121055, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,149784, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,114495, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n34, ?,133278, 12th,8, Separated, ?, Unmarried, Black, Female,0,0,53, United-States, <=50K\n32, Private,212276, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n32, Private,440129, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, Mexico, <=50K\n47, Private,98012, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, United-States, >50K\n27, Private,145284, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,177147, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,141537, 10th,6, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,48093, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,92, United-States, <=50K\n23, Local-gov,314819, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,123572, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n19, Private,170800, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K\n42, Private,332401, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,193038, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,15, United-States, <=50K\n41, Private,351161, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1848,45, United-States, >50K\n45, Federal-gov,106910, HS-grad,9, Never-married, Transport-moving, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n67, ?,163726, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,49, United-States, <=50K\n36, Self-emp-not-inc,609935, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,48, ?, <=50K\n52, State-gov,314627, Masters,14, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n28, Private,115945, Doctorate,16, Never-married, Adm-clerical, Own-child, White, Male,0,0,18, United-States, <=50K\n83, Self-emp-inc,272248, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K\n17, Private,167878, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n27, Private,176972, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,31095, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K\n40, Private,130834, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,207415, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,0,0,25, United-States, <=50K\n51, Local-gov,264457, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n51, Private,340588, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,54, Mexico, <=50K\n82, ?,42435, 10th,6, Widowed, ?, Not-in-family, White, Male,0,0,20, United-States, <=50K\n28, Private,107411, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n53, Private,290640, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, Germany, >50K\n29, Private,106179, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, Canada, <=50K\n19, Private,247679, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n30, Private,171598, Bachelors,13, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n23, Private,234460, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, Dominican-Republic, <=50K\n66, Private,196674, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, >50K\n27, Private,182540, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,172694, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n17, Private,29571, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n27, Private,130438, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,213421, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n44, Local-gov,189956, Bachelors,13, Married-civ-spouse, Protective-serv, Wife, Black, Female,15024,0,40, United-States, >50K\n64, Private,133144, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, United-States, <=50K\n62, Self-emp-inc,24050, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n26, Private,276967, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,184857, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n40, Private,145160, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,192251, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,190650, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K\n52, Local-gov,255927, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,24, United-States, <=50K\n46, Private,99086, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n30, Private,216811, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n52, Private,110563, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,120471, HS-grad,9, Never-married, Transport-moving, Not-in-family, Other, Male,0,0,40, United-States, <=50K\n17, Private,183066, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n46, State-gov,298786, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n45, Private,297884, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n21, Private,253612, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,1055,0,32, United-States, <=50K\n18, Self-emp-not-inc,207438, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n17, Private,148522, 11th,7, Never-married, Other-service, Own-child, White, Male,0,1721,15, United-States, <=50K\n90, Private,139660, Some-college,10, Divorced, Sales, Unmarried, Black, Female,0,0,37, United-States, <=50K\n23, Private,165474, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,120277, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n19, Self-emp-not-inc,67929, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K\n69, Private,229418, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n23, Federal-gov,41356, Assoc-acdm,12, Never-married, Exec-managerial, Unmarried, White, Female,0,0,32, United-States, <=50K\n28, Private,185127, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,54, United-States, <=50K\n37, Private,109133, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1977,45, United-States, >50K\n57, Private,148315, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n30, Local-gov,145692, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,1974,40, United-States, <=50K\n48, Private,210424, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,914,0,40, United-States, <=50K\n73, Private,198526, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,0,32, United-States, <=50K\n25, Private,521400, 5th-6th,3, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K\n33, Private,100882, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n36, Private,124818, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,190836, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,40, United-States, <=50K\n57, Private,71367, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,303032, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n35, ?,98989, 9th,5, Divorced, ?, Own-child, Amer-Indian-Eskimo, Male,0,0,38, United-States, <=50K\n40, State-gov,390781, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,48, United-States, <=50K\n32, Private,54782, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n35, ?,202683, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,213081, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, Jamaica, <=50K\n27, Self-emp-inc,89718, Some-college,10, Separated, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n17, Private,225106, 10th,6, Never-married, Other-service, Own-child, White, Female,0,1602,18, United-States, <=50K\n29, Private,253262, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,78181, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n20, Private,158206, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n69, ?,337720, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K\n18, State-gov,391257, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Private,134756, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n40, Private,183404, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,8, United-States, <=50K\n46, Private,192793, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,203943, 12th,8, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, ?, <=50K\n53, Private,89400, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, Private,237868, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,139187, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n40, Private,126701, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n54, Self-emp-inc,172175, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,164210, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Local-gov,608184, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K\n17, ?,198797, 11th,7, Never-married, ?, Own-child, White, Male,0,0,20, Peru, <=50K\n50, Local-gov,425804, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n22, ?,117618, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K\n30, Private,119164, Bachelors,13, Never-married, Other-service, Unmarried, White, Male,0,0,40, ?, <=50K\n40, Self-emp-inc,92036, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, State-gov,77146, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Self-emp-not-inc,191803, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Private,54932, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,251694, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K\n22, Private,268145, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Private,104842, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,50, Haiti, <=50K\n60, Local-gov,227332, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,212512, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464,0,50, United-States, <=50K\n53, Private,133436, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, State-gov,309055, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n18, Private,59202, HS-grad,9, Never-married, Priv-house-serv, Other-relative, White, Female,0,0,10, United-States, <=50K\n36, Private,32709, Some-college,10, Divorced, Sales, Not-in-family, White, Female,3325,0,45, United-States, <=50K\n67, Self-emp-inc,73559, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,50, United-States, >50K\n31, Private,117963, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,60, United-States, <=50K\n26, Private,169121, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K\n18, Private,308889, 11th,7, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K\n45, Local-gov,144940, Masters,14, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n64, Private,102041, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,335998, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K\n53, Private,29557, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,210313, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,28, Guatemala, <=50K\n32, Private,190784, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,107597, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,14084,0,30, United-States, >50K\n59, Private,97168, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,155930, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,55, United-States, >50K\n61, Self-emp-not-inc,181033, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n41, ?,344572, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, State-gov,170165, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K\n32, Private,178835, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,118230, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n48, Private,149640, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,30271, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K\n21, Private,154165, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,35, United-States, <=50K\n50, Self-emp-not-inc,341797, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n44, Local-gov,145246, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K\n51, Private,280093, HS-grad,9, Separated, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n42, Private,373469, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,199172, Bachelors,13, Never-married, Protective-serv, Own-child, White, Female,0,0,40, United-States, <=50K\n70, Self-emp-not-inc,177199, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,3, United-States, <=50K\n33, Private,258932, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Self-emp-not-inc,139960, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,10605,0,60, United-States, >50K\n39, Private,258037, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, ?, <=50K\n32, Private,116677, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,59496, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-inc,34218, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,200246, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n64, Federal-gov,316246, Bachelors,13, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n37, Local-gov,239161, Some-college,10, Separated, Protective-serv, Own-child, Other, Male,0,0,52, United-States, <=50K\n49, Self-emp-not-inc,173411, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,259226, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K\n35, Local-gov,195516, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,200598, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1740,45, United-States, <=50K\n42, State-gov,160369, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n21, ?,415913, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,147253, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,199674, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n29, State-gov,198493, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,377121, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n21, Private,400635, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, ?, <=50K\n45, Private,513660, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, ?,175069, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K\n38, Private,82552, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,594,0,50, United-States, <=50K\n28, ?,78388, 10th,6, Never-married, ?, Own-child, White, Female,0,0,38, United-States, <=50K\n23, Private,171705, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K\n39, Self-emp-not-inc,315640, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,60, Iran, <=50K\n45, Private,266860, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n68, Private,192829, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K\n60, Federal-gov,237317, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Male,4934,0,40, United-States, >50K\n38, State-gov,110426, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, ?, >50K\n41, Private,327606, 12th,8, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n48, Private,34845, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n33, Private,58582, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,155659, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Local-gov,210029, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n26, Private,381618, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n55, Self-emp-inc,298449, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,50, United-States, >50K\n35, State-gov,226789, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,75, United-States, <=50K\n52, Private,210736, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,55, United-States, >50K\n46, State-gov,111163, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n72, ?,76860, HS-grad,9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,1, United-States, <=50K\n18, Private,92112, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n62, Local-gov,136787, HS-grad,9, Divorced, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K\n22, Private,29810, Some-college,10, Never-married, Transport-moving, Own-child, White, Female,0,0,30, United-States, <=50K\n40, Private,360884, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298,0,40, United-States, >50K\n26, Private,266022, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,142874, Assoc-acdm,12, Married-spouse-absent, Sales, Own-child, Black, Female,0,0,36, United-States, <=50K\n25, Self-emp-not-inc,72338, HS-grad,9, Never-married, Sales, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n46, ?,177305, Assoc-voc,11, Married-civ-spouse, ?, Wife, Black, Female,0,0,35, United-States, >50K\n39, Private,165106, Bachelors,13, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,1564,50, ?, >50K\n41, Private,424478, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,45, United-States, >50K\n59, Private,189721, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Italy, >50K\n37, Private,34180, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,183279, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K\n33, Private,35309, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n23, Private,259109, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Puerto-Rico, <=50K\n67, Self-emp-not-inc,148690, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Male,18481,0,2, United-States, >50K\n60, Private,125019, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,8614,0,48, United-States, >50K\n39, Self-emp-inc,172538, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n32, Self-emp-not-inc,410615, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,60, United-States, >50K\n26, Private,322547, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n39, Private,300760, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,50, United-States, <=50K\n28, Private,232782, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,174645, 11th,7, Divorced, Craft-repair, Unmarried, White, Female,0,0,52, United-States, <=50K\n43, Private,164693, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,206861, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,25, United-States, <=50K\n32, Private,195602, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,45, United-States, >50K\n33, Self-emp-not-inc,422960, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, >50K\n45, Private,116360, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n48, Private,278530, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,188291, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K\n50, Self-emp-not-inc,163948, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n63, Private,64544, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, >50K\n55, Private,101468, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K\n22, Private,107882, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,35, United-States, <=50K\n32, Self-emp-not-inc,182691, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,60, United-States, <=50K\n27, Private,203776, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n22, Private,201268, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n44, Private,29762, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,68, United-States, <=50K\n34, Private,186346, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,196690, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,99604, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,24, United-States, >50K\n45, Private,194772, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n17, Private,95446, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n53, Self-emp-not-inc,257126, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n58, Private,194733, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-not-inc,98361, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n44, Local-gov,124924, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K\n40, Self-emp-not-inc,111971, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n58, Self-emp-not-inc,130714, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,208358, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n62, Private,147627, 9th,5, Never-married, Priv-house-serv, Not-in-family, Black, Female,1055,0,22, United-States, <=50K\n31, Private,149507, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,3464,0,38, United-States, <=50K\n31, Private,164870, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n30, Private,236861, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,1876,45, United-States, <=50K\n37, Private,220314, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K\n38, Local-gov,329980, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1876,40, Canada, <=50K\n58, Local-gov,318537, 12th,8, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,183284, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,334368, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,4650,0,40, United-States, <=50K\n46, Private,109227, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,70, United-States, <=50K\n34, Private,118551, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Self-emp-inc,163057, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,99, United-States, <=50K\n61, Self-emp-inc,253101, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n30, Self-emp-not-inc,20098, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,196227, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,175374, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,234037, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,58, United-States, <=50K\n47, Private,341762, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,33, United-States, <=50K\n20, Private,174714, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,222835, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n46, Private,251786, 1st-4th,2, Separated, Other-service, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n20, Private,164219, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K\n33, Private,251120, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n30, Private,236993, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n43, Local-gov,105896, Some-college,10, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,211527, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,60, United-States, <=50K\n34, Private,317809, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, ?, >50K\n25, Private,185287, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,31014, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n44, Private,151985, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,24, United-States, >50K\n26, Private,89389, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,406051, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,80, United-States, >50K\n48, Self-emp-not-inc,171986, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K\n26, Private,167848, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n41, Local-gov,213019, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,211424, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,168981, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, White, Female,0,0,55, United-States, <=50K\n24, Private,122348, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n31, Private,139753, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Local-gov,176178, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Female,0,0,2, United-States, <=50K\n41, Private,145220, 9th,5, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,40, Columbia, <=50K\n38, Local-gov,188612, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n19, Private,445728, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,318002, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,235722, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, ?,367984, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n67, Private,212705, Masters,14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n49, Private,411273, 10th,6, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,103986, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,203761, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n58, ?,266792, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,99999,0,40, United-States, >50K\n22, Private,116800, Assoc-acdm,12, Never-married, Protective-serv, Own-child, White, Male,0,0,60, United-States, <=50K\n21, State-gov,99199, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,10, United-States, <=50K\n50, Private,162327, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n44, Local-gov,100479, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K\n36, Local-gov,32587, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n30, Federal-gov,321990, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,48, Cuba, >50K\n52, Private,108914, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n35, Self-emp-not-inc,61343, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,90, United-States, <=50K\n48, Local-gov,81154, Assoc-voc,11, Never-married, Protective-serv, Unmarried, White, Male,0,0,48, United-States, <=50K\n23, Private,162945, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,2377,40, United-States, <=50K\n37, Private,225504, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n44, Self-emp-inc,191712, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,55, United-States, >50K\n44, Private,176063, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n36, Private,198587, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, State-gov,34965, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,12, United-States, <=50K\n31, Self-emp-inc,467108, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n23, ?,263899, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,12, England, <=50K\n29, Private,204984, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n53, Private,217568, HS-grad,9, Widowed, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n52, Private,48343, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,193130, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1887,40, United-States, >50K\n31, Private,253354, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,258026, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,16, United-States, <=50K\n64, ?,211360, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n55, Private,191367, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,148995, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n20, Private,123901, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Local-gov,117496, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298,0,30, United-States, >50K\n45, Self-emp-inc,32356, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,51, United-States, <=50K\n17, Private,206506, 10th,6, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,10, El-Salvador, <=50K\n38, Private,218729, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n43, Private,52498, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K\n22, Private,136767, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n63, Private,219540, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,114059, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n56, Private,247337, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n43, State-gov,310969, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K\n41, Private,171546, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n41, Private,217455, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,410489, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n59, Private,146391, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n46, Local-gov,165484, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K\n23, Private,184271, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K\n46, Self-emp-not-inc,231347, Some-college,10, Separated, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n53, Private,95469, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,40, United-States, >50K\n47, Private,244025, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male,0,0,56, Puerto-Rico, <=50K\n46, Federal-gov,46537, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,205730, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, >50K\n29, Private,383745, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,30, United-States, >50K\n32, Private,328199, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n90, Private,84553, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n63, Private,221072, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,49, ?, <=50K\n23, Private,123983, Assoc-voc,11, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n76, ?,191024, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n23, Private,167868, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,225879, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Other, Female,0,0,30, Mexico, >50K\n81, Self-emp-inc,247232, 10th,6, Married-civ-spouse, Exec-managerial, Wife, White, Female,2936,0,28, United-States, <=50K\n17, Private,143791, 10th,6, Never-married, Other-service, Own-child, Black, Female,0,0,12, United-States, <=50K\n56, Private,177271, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n58, Federal-gov,129786, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,31339, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,236267, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,130620, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,35, Philippines, >50K\n32, Private,208180, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,24, United-States, >50K\n25, Private,292058, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K\n29, Federal-gov,142712, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,119665, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K\n41, Private,116825, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n48, State-gov,201177, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n29, Private,118337, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n27, ?,173800, Masters,14, Never-married, ?, Unmarried, Asian-Pac-Islander, Male,0,0,20, Taiwan, <=50K\n55, Private,289257, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,190912, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,1651,40, Vietnam, <=50K\n45, Private,140581, Some-college,10, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n50, Private,174102, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, Puerto-Rico, <=50K\n22, Private,316509, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n80, Local-gov,20101, HS-grad,9, Widowed, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,32, United-States, <=50K\n30, Private,187279, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,44, United-States, <=50K\n20, Private,259496, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n29, Self-emp-not-inc,181466, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n56, Private,178202, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n63, Private,188976, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,203027, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n38, State-gov,142022, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n31, Private,119033, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,216181, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n47, Private,178341, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,46, United-States, >50K\n25, Local-gov,244408, Bachelors,13, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n31, Private,198953, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K\n28, Private,173110, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,66326, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, <=50K\n30, Local-gov,181091, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-inc,135500, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n27, Private,133929, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,36, ?, <=50K\n26, Private,86483, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,167787, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,208577, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,2258,50, United-States, <=50K\n43, Private,216697, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Other, Male,0,0,32, United-States, <=50K\n32, Local-gov,118457, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K\n20, Private,298635, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,30, Philippines, <=50K\n21, Local-gov,212780, 12th,8, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,20, United-States, <=50K\n32, Private,159187, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,237995, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,48, United-States, <=50K\n45, Private,160724, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n37, Self-emp-inc,183800, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K\n54, ?,185936, 9th,5, Divorced, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K\n24, Private,161198, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,25, United-States, <=50K\n28, ?,113635, 11th,7, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n23, Private,214542, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n54, ?,172991, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,203761, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,161141, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n71, Private,180117, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,317396, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,237868, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,5, United-States, <=50K\n30, Private,323069, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,181091, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n38, Private,309122, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Federal-gov,105936, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,13550,0,40, United-States, >50K\n43, Private,40024, 11th,7, Never-married, Transport-moving, Not-in-family, White, Male,0,0,42, United-States, <=50K\n36, Federal-gov,192443, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,13550,0,40, United-States, >50K\n24, State-gov,184216, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n29, ?,256211, 1st-4th,2, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n55, Private,205422, 10th,6, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K\n51, Private,22211, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,60, United-States, >50K\n43, Local-gov,196308, HS-grad,9, Divorced, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n28, Private,389713, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,82566, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n47, Private,199058, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,160440, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n47, Private,76034, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,57, United-States, >50K\n38, Private,188503, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,6497,0,35, United-States, <=50K\n60, Self-emp-not-inc,92845, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,29083, HS-grad,9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female,0,0,25, United-States, <=50K\n22, Private,234474, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,25, United-States, <=50K\n55, Local-gov,107308, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,111891, Some-college,10, Separated, Sales, Other-relative, Black, Female,0,0,35, United-States, <=50K\n53, Self-emp-not-inc,145419, 1st-4th,2, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,67, Italy, >50K\n44, Local-gov,193425, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,4386,0,40, United-States, >50K\n28, Federal-gov,188278, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Local-gov,303485, Some-college,10, Never-married, Transport-moving, Unmarried, Black, Female,0,0,40, United-States, <=50K\n39, Local-gov,67187, HS-grad,9, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n43, State-gov,114508, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,204172, Bachelors,13, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n27, Local-gov,162973, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,56, United-States, <=50K\n64, Self-emp-not-inc,192695, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, Canada, <=50K\n41, Local-gov,89172, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,163320, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n61, Private,128230, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n27, Private,246440, 11th,7, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,50567, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K\n20, Private,117476, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,315834, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1876,40, United-States, <=50K\n28, Local-gov,214881, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,195516, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,218653, Bachelors,13, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,87205, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,20, United-States, >50K\n40, Private,164647, Some-college,10, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,38, United-States, <=50K\n19, Private,129151, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,319697, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,193374, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,167864, Assoc-voc,11, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,197932, Some-college,10, Separated, Priv-house-serv, Not-in-family, White, Female,0,0,30, Guatemala, <=50K\n51, Private,102904, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,43, United-States, <=50K\n44, Private,216907, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K\n35, Local-gov,331395, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,42, United-States, <=50K\n40, Private,171424, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,35406, 7th-8th,4, Separated, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K\n25, Private,238964, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n33, Private,213002, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1408,36, United-States, <=50K\n32, Private,27882, Some-college,10, Never-married, Machine-op-inspct, Other-relative, White, Female,0,2205,40, Holand-Netherlands, <=50K\n22, Private,340543, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,70240, Some-college,10, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n18, Self-emp-not-inc,87169, HS-grad,9, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n43, Private,253759, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,45, United-States, <=50K\n46, Private,194431, HS-grad,9, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K\n63, Private,137843, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,48, United-States, >50K\n40, ?,170649, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n59, Private,182460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n40, Local-gov,26929, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,399022, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n64, ?,50171, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K\n36, Private,218490, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n48, Private,164423, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,124436, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n18, Private,60981, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n17, Private,70868, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,16, United-States, <=50K\n36, Private,150601, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, <=50K\n53, Private,228500, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n36, State-gov,76767, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,39, United-States, <=50K\n20, Private,218178, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,615367, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n34, Private,150324, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,51264, 11th,7, Divorced, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n57, Private,197642, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,229895, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,167415, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n51, Private,166934, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,305597, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n34, Private,301591, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,35, United-States, <=50K\n47, Federal-gov,229646, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Female,0,0,40, Puerto-Rico, <=50K\n28, Self-emp-not-inc,51461, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,206600, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,24, Nicaragua, <=50K\n25, Private,176836, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K\n50, Private,204447, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,65, United-States, >50K\n50, Private,33304, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,174051, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n27, Private,38918, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,1876,75, United-States, <=50K\n32, Private,170017, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n44, Private,98466, 10th,6, Never-married, Farming-fishing, Unmarried, White, Male,0,0,35, United-States, <=50K\n19, Private,188864, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,20, United-States, <=50K\n53, Self-emp-inc,137815, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n21, Private,43475, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,557236, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n68, Private,32779, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,419,12, United-States, <=50K\n31, Private,161765, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,2051,57, United-States, <=50K\n32, Private,207668, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Male,0,2444,50, United-States, >50K\n33, Private,171215, Masters,14, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n49, ?,52590, HS-grad,9, Never-married, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n24, Private,183751, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K\n30, Private,149507, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, <=50K\n49, Private,98092, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,123714, 11th,7, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n30, State-gov,190385, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K\n51, Private,334273, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,343440, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,208302, HS-grad,9, Divorced, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K\n23, Local-gov,280164, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,32, United-States, <=50K\n23, Self-emp-not-inc,174714, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n36, Private,184655, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n19, Private,140459, 11th,7, Never-married, Craft-repair, Other-relative, White, Male,0,0,25, United-States, <=50K\n53, Self-emp-not-inc,108815, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n17, Private,152652, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n69, Private,269499, HS-grad,9, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,8, United-States, <=50K\n46, Local-gov,33373, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,243674, HS-grad,9, Separated, Tech-support, Not-in-family, White, Male,0,0,46, United-States, <=50K\n40, Private,225432, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n56, Private,215839, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, ?, <=50K\n29, Local-gov,195520, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,70092, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n22, Private,189888, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n28, Private,64307, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,94235, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K\n35, Private,62333, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,260997, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n17, Private,146268, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n39, Private,147258, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,207948, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n50, Private,180607, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n56, Local-gov,104996, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n80, Self-emp-not-inc,562336, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K\n38, Self-emp-not-inc,334366, Some-college,10, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,15, United-States, <=50K\n52, State-gov,142757, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K\n26, Local-gov,220656, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Male,0,0,38, England, <=50K\n43, Private,96483, HS-grad,9, Divorced, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,40, South, <=50K\n45, Private,51744, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,42, United-States, <=50K\n41, Self-emp-inc,114967, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n30, Private,393965, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n24, Private,41838, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,40, United-States, <=50K\n43, Local-gov,143046, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n44, Private,209174, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n54, Private,183248, HS-grad,9, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n23, Private,102942, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,2258,40, United-States, >50K\n33, Self-emp-not-inc,427474, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n18, Private,338632, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n38, Private,89559, Some-college,10, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, Germany, <=50K\n41, Self-emp-not-inc,32533, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n22, ?,255969, 12th,8, Never-married, ?, Not-in-family, White, Male,0,0,48, United-States, <=50K\n66, Self-emp-inc,112376, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n70, ?,346053, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,147653, 10th,6, Married-civ-spouse, Craft-repair, Wife, White, Female,0,1977,35, ?, >50K\n60, Self-emp-not-inc,44915, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,10, United-States, <=50K\n24, Local-gov,111450, 10th,6, Never-married, Craft-repair, Unmarried, Black, Male,0,0,65, Haiti, <=50K\n61, Private,171429, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K\n35, Local-gov,190964, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,109005, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n52, Private,404453, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,280169, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, United-States, >50K\n39, Self-emp-not-inc,163204, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,192256, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n52, Private,181755, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,183105, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,44, Cuba, <=50K\n37, Private,335168, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n38, Local-gov,86643, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,180262, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,127865, Masters,14, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,146042, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,3103,0,60, United-States, >50K\n49, Self-emp-not-inc,102110, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, United-States, >50K\n38, Private,152237, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, ?, >50K\n22, Private,202745, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,55, United-States, <=50K\n40, Federal-gov,199303, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,266467, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Federal-gov,345259, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,99, United-States, <=50K\n24, Private,204935, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,56, United-States, <=50K\n58, Federal-gov,244830, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,4787,0,40, United-States, >50K\n24, Private,190457, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Private,180138, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n38, Private,166585, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Private,29962, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,191129, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,378707, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n37, Private,116358, HS-grad,9, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,27828,0,48, United-States, >50K\n48, Private,240629, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K\n40, Private,233320, 7th-8th,4, Separated, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n50, Self-emp-inc,302708, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7688,0,50, Japan, >50K\n57, Private,29375, HS-grad,9, Separated, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K\n36, Local-gov,137314, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K\n41, Private,140886, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n90, Private,226968, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n66, Private,151793, 7th-8th,4, Widowed, Other-service, Not-in-family, Black, Female,0,0,10, United-States, <=50K\n34, Self-emp-not-inc,56460, HS-grad,9, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,2179,12, United-States, <=50K\n23, Private,72887, HS-grad,9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,1, Vietnam, <=50K\n35, Private,261646, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,55, United-States, <=50K\n32, Private,178615, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,40, United-States, <=50K\n33, Private,295589, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, >50K\n32, Self-emp-inc,377836, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,56510, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,337696, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,183765, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,107846, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,30, United-States, <=50K\n34, Local-gov,22641, HS-grad,9, Never-married, Protective-serv, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n35, Private,204590, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, >50K\n29, Private,114801, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,190591, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K\n33, State-gov,220066, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,48, United-States, >50K\n22, ?,228480, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n52, Private,128378, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,157595, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Local-gov,152171, 11th,7, Never-married, Protective-serv, Own-child, White, Male,0,0,10, United-States, <=50K\n63, Private,339755, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, >50K\n49, Private,240841, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n58, Private,94345, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n23, Self-emp-not-inc,289116, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K\n59, Private,176647, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n49, Self-emp-not-inc,79627, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n23, Local-gov,210781, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K\n17, ?,161981, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,493443, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,86459, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K\n64, Private,312242, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,3, United-States, <=50K\n34, Private,185408, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n63, Private,101077, Assoc-acdm,12, Married-spouse-absent, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K\n51, Private,147200, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n40, State-gov,166327, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n55, Private,178644, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n35, Private,126675, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,46, ?, <=50K\n30, Private,158420, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,25, United-States, <=50K\n47, ?,83046, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,18, United-States, <=50K\n29, Private,46609, 10th,6, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, ?, <=50K\n17, ?,170320, 11th,7, Never-married, ?, Own-child, White, Female,0,0,8, United-States, <=50K\n32, Self-emp-not-inc,37232, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K\n55, Private,141877, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Local-gov,81654, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,56, United-States, >50K\n50, Private,177705, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,124792, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,7688,0,45, United-States, >50K\n32, Self-emp-not-inc,129497, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n60, Private,114413, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n53, Private,189511, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,111625, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Male,8614,0,40, United-States, >50K\n45, Private,246431, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n31, Private,147654, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,443546, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,281751, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n28, Private,263128, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n26, Private,292692, 12th,8, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n47, Self-emp-inc,96798, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K\n34, Private,430554, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n42, Private,317078, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n48, Private,108557, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,99999,0,40, United-States, >50K\n32, Private,207400, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n35, Private,187089, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,42, United-States, >50K\n46, Local-gov,398986, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,52, United-States, >50K\n38, Private,238980, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n49, ?,407495, HS-grad,9, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,70, United-States, <=50K\n35, Private,183800, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n61, ?,226989, HS-grad,9, Divorced, ?, Not-in-family, White, Male,4865,0,40, United-States, <=50K\n45, Private,287190, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, Black, Male,0,0,35, United-States, <=50K\n31, Private,111363, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-inc,260938, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n20, Private,183594, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n64, ?,49194, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n20, ?,117618, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,172496, Masters,14, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Private,389713, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,174413, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, State-gov,189843, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,198546, Masters,14, Widowed, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n21, Private,82497, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n23, Private,193090, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n79, Private,172220, 7th-8th,4, Widowed, Priv-house-serv, Not-in-family, White, Female,2964,0,30, United-States, <=50K\n55, Private,208451, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n42, ?,234277, HS-grad,9, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K\n60, Private,163729, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,2597,0,40, United-States, <=50K\n37, Private,434097, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n47, Private,192053, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,1590,40, United-States, <=50K\n20, State-gov,178628, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,96827, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Canada, <=50K\n34, Private,154667, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n43, Private,160246, Some-college,10, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n24, Self-emp-not-inc,166036, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n23, Private,186813, HS-grad,9, Never-married, Protective-serv, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n29, Private,162312, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, Other, Male,0,0,40, United-States, <=50K\n58, Private,183893, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n55, ?,270228, Assoc-acdm,12, Married-civ-spouse, ?, Husband, Black, Male,7688,0,40, United-States, >50K\n40, Private,111829, Masters,14, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Federal-gov,175669, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n25, State-gov,104097, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Local-gov,117618, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,24, United-States, <=50K\n34, Self-emp-inc,202450, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,109570, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n60, Private,101096, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,65, United-States, >50K\n39, Private,236391, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n21, Private,136975, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,167523, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2179,45, United-States, <=50K\n33, Private,240979, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,248612, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, >50K\n39, Private,151023, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,114,0,45, United-States, <=50K\n29, Private,236436, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,8614,0,40, United-States, >50K\n29, ?,153167, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n52, Private,61735, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,243165, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, >50K\n24, Private,388885, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K\n77, Self-emp-inc,84979, Doctorate,16, Married-civ-spouse, Farming-fishing, Husband, White, Male,20051,0,40, United-States, >50K\n34, Self-emp-not-inc,87209, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n53, Self-emp-not-inc,168539, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n31, Private,179013, HS-grad,9, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n58, Private,196643, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n50, Self-emp-not-inc,68898, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7688,0,55, United-States, >50K\n32, Private,156464, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,35884, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,182714, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K\n77, Private,344425, 9th,5, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0,0,10, United-States, <=50K\n37, Self-emp-not-inc,177277, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,70767, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,520078, Assoc-acdm,12, Divorced, Sales, Unmarried, Black, Male,0,0,60, United-States, <=50K\n53, Local-gov,321770, HS-grad,9, Married-spouse-absent, Transport-moving, Other-relative, White, Female,0,0,35, United-States, <=50K\n32, Private,158416, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Private,312667, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,208656, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,594,0,20, United-States, <=50K\n33, Private,31481, Bachelors,13, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K\n31, Private,259531, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,186239, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n19, Private,162954, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n27, Private,249315, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n21, Private,308237, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n24, Private,103064, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,185847, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,54, United-States, <=50K\n31, Private,168521, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Private,198170, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,353628, 10th,6, Separated, Sales, Unmarried, Black, Female,0,0,38, United-States, <=50K\n38, ?,273285, 11th,7, Never-married, ?, Not-in-family, White, Female,0,0,32, United-States, <=50K\n31, Private,272069, Assoc-voc,11, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,22328, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,309212, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,25, United-States, <=50K\n25, Self-emp-inc,148888, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n23, Local-gov,324637, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n53, Self-emp-inc,55139, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n42, ?,212206, Masters,14, Married-civ-spouse, ?, Wife, White, Female,0,1887,48, United-States, >50K\n29, Private,119004, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,2179,40, United-States, <=50K\n45, Private,252079, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n70, Private,315868, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-inc,392325, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,60, United-States, >50K\n40, State-gov,174283, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,50, United-States, >50K\n17, Private,126832, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n18, Private,126071, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,265706, Masters,14, Never-married, Sales, Unmarried, White, Male,0,0,60, United-States, >50K\n41, Private,282964, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,328518, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, State-gov,283499, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,286675, Some-college,10, Never-married, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K\n56, Private,136472, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,48, United-States, <=50K\n36, Private,132879, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, United-States, <=50K\n26, Private,314798, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n62, Private,143943, Bachelors,13, Widowed, Tech-support, Unmarried, White, Female,0,0,7, United-States, <=50K\n35, Private,134367, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Local-gov,366796, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,195573, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n21, Private,33616, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n31, Private,164190, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,380281, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,25, Columbia, <=50K\n58, Self-emp-inc,190763, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n55, Local-gov,209535, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,156003, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,55699, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3908,0,40, United-States, <=50K\n28, Private,183151, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7688,0,40, United-States, >50K\n40, Private,198790, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K\n33, Self-emp-not-inc,272359, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,80, United-States, >50K\n27, Private,236481, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,10, India, <=50K\n55, Private,143266, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,25, United-States, <=50K\n53, Private,192386, HS-grad,9, Separated, Transport-moving, Unmarried, White, Male,0,0,45, United-States, <=50K\n23, Private,99543, 12th,8, Never-married, Transport-moving, Not-in-family, White, Male,0,0,46, United-States, <=50K\n66, Private,169435, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,16, United-States, <=50K\n34, Self-emp-not-inc,34572, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n39, Private,119272, 10th,6, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,211601, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n26, Private,154785, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, Other, Female,0,0,35, United-States, <=50K\n21, Private,213041, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Cuba, <=50K\n59, Private,229939, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,175331, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,226443, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,46561, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,161311, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,30, United-States, <=50K\n50, Private,98215, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n67, Private,118363, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,2206,5, United-States, <=50K\n59, Local-gov,181242, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,356238, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,80, United-States, >50K\n56, Self-emp-not-inc,39380, Some-college,10, Married-spouse-absent, Farming-fishing, Not-in-family, White, Female,27828,0,20, United-States, >50K\n28, Private,315287, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,40, ?, <=50K\n34, Private,269723, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,2977,0,50, United-States, <=50K\n63, Private,34098, 10th,6, Widowed, Farming-fishing, Unmarried, White, Female,0,0,56, United-States, <=50K\n48, Private,50880, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, <=50K\n41, Federal-gov,356934, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K\n26, Private,276309, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,20, United-States, <=50K\n47, Private,175925, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,2179,52, United-States, <=50K\n29, Self-emp-not-inc,164607, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,224462, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,92863, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n27, Private,179565, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K\n59, Self-emp-not-inc,31137, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n19, Private,199495, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,175262, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n37, Private,220585, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Local-gov,231793, Doctorate,16, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K\n34, Federal-gov,191342, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,38, United-States, <=50K\n30, Private,186420, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,35, United-States, <=50K\n30, Private,328242, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Hong, >50K\n56, Private,279340, 11th,7, Separated, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n19, Private,174478, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Private,151771, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,145636, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,43, United-States, >50K\n21, Private,120326, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,246439, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n27, Private,144133, Bachelors,13, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0,0,50, United-States, <=50K\n44, Local-gov,145522, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,312055, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,235847, Some-college,10, Never-married, Exec-managerial, Other-relative, White, Female,0,0,50, United-States, <=50K\n37, Private,187748, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,396482, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K\n49, Private,261688, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,60, United-States, <=50K\n20, Private,39477, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n37, Private,143058, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,216867, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, Mexico, <=50K\n44, Private,230592, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,35, United-States, <=50K\n30, Local-gov,40338, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Local-gov,115457, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,374983, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,285419, 12th,8, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, ?,385901, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,22, United-States, <=50K\n45, State-gov,187581, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-inc,299036, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n42, Private,68729, Some-college,10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n27, Private,333990, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,117767, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K\n43, Private,184378, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n21, Private,232591, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,143851, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,89622, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,80, United-States, >50K\n34, Private,202498, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Dominican-Republic, <=50K\n72, Private,268861, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,99, ?, <=50K\n54, Private,343242, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K\n30, Private,460408, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n63, Private,205246, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n36, Private,230329, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,197871, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n72, ?,201375, Assoc-acdm,12, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Private,194290, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,191814, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n41, Private,95168, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n20, ?,137876, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,386136, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n71, ?,108390, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,3432,0,20, United-States, <=50K\n41, Private,152529, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n35, Private,214891, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,40, Dominican-Republic, <=50K\n18, Private,133654, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,147548, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n57, Private,73051, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,60166, 1st-4th,2, Never-married, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male,0,0,65, United-States, <=50K\n25, Self-emp-inc,454934, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n64, ?,338355, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,15, United-States, <=50K\n35, Self-emp-not-inc,185621, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n61, Private,101500, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n36, State-gov,36397, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K\n18, Private,276540, 12th,8, Never-married, Sales, Own-child, Black, Female,0,0,15, United-States, <=50K\n21, Private,293968, Some-college,10, Married-spouse-absent, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n43, ?,35523, Assoc-acdm,12, Divorced, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n32, Local-gov,186993, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,232132, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n48, Private,176917, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n40, Private,105936, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,105821, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K\n22, ?,34506, Some-college,10, Separated, ?, Unmarried, White, Female,0,0,25, United-States, <=50K\n42, Private,178074, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, ?,116961, 7th-8th,4, Widowed, ?, Unmarried, White, Female,0,0,20, United-States, <=50K\n34, Private,191930, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,130807, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,94100, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K\n65, Self-emp-not-inc,144822, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n61, Self-emp-inc,102191, Masters,14, Widowed, Exec-managerial, Unmarried, White, Female,0,0,99, United-States, <=50K\n18, Private,90934, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,28, United-States, <=50K\n49, ?,296892, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n48, Private,173243, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n26, Private,258768, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,2174,0,75, United-States, <=50K\n30, Private,189759, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n68, Self-emp-not-inc,69249, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,133061, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, <=50K\n65, Self-emp-not-inc,175202, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,24, United-States, <=50K\n32, Private,27051, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,44, United-States, <=50K\n44, Private,60414, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n48, Local-gov,317360, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n24, Private,258298, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K\n58, Private,174040, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Local-gov,177566, Some-college,10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,50, Germany, <=50K\n54, Private,162238, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n35, Private,87556, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n35, Private,144322, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n24, Private,190015, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,183173, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K\n38, Self-emp-not-inc,151322, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Local-gov,47392, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,107125, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n49, Private,265295, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,189219, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,16, United-States, <=50K\n56, Private,147989, Some-college,10, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,185732, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,153516, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, ?,191910, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K\n33, Private,216145, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,202872, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,12, United-States, <=50K\n62, Self-emp-not-inc,39630, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n24, ?,114292, 9th,5, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Local-gov,206721, Bachelors,13, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,358585, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, >50K\n33, Private,377283, Bachelors,13, Separated, Sales, Not-in-family, White, Female,0,0,50, United-States, >50K\n65, ?,76043, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,1, United-States, >50K\n65, Without-pay,172949, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,2414,0,20, United-States, <=50K\n46, Private,110171, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n43, Local-gov,223861, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,163455, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,183892, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,47022, HS-grad,9, Widowed, Handlers-cleaners, Other-relative, White, Female,0,0,48, United-States, <=50K\n55, Federal-gov,145401, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,387074, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,105363, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4508,0,40, United-States, <=50K\n59, Federal-gov,195467, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Local-gov,170217, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,156807, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,10, United-States, <=50K\n26, Private,255193, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,3411,0,40, United-States, <=50K\n38, Private,273640, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,191177, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-inc,184787, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n37, State-gov,239409, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n63, Self-emp-not-inc,404547, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n27, State-gov,23740, HS-grad,9, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,38, United-States, >50K\n20, Private,382153, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K\n26, Private,164488, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n21, ?,228424, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,168539, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,189530, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,89419, Assoc-voc,11, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, Columbia, <=50K\n35, Private,224512, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n21, ?,314645, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,43, United-States, <=50K\n65, Private,85787, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Local-gov,279881, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n39, Private,194287, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,1602,35, United-States, <=50K\n24, Private,141040, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n36, Private,222294, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n70, ?,410980, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, >50K\n52, Private,38795, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n64, Private,182979, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,223277, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,67065, Assoc-voc,11, Never-married, Priv-house-serv, Not-in-family, White, Male,594,0,25, United-States, <=50K\n47, Federal-gov,160647, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,45796, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,110597, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n33, Private,166961, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n52, Private,318975, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, Cuba, <=50K\n49, Private,305657, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,120857, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,18, United-States, <=50K\n62, Self-emp-not-inc,158712, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,6, United-States, <=50K\n44, Private,304530, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n28, Local-gov,327533, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,3908,0,40, United-States, <=50K\n68, Local-gov,233954, Masters,14, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, >50K\n40, Federal-gov,26880, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,70754, 7th-8th,4, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n22, Private,184665, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,245372, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Male,0,0,15, United-States, <=50K\n62, Private,252668, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, <=50K\n37, Private,86551, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n35, Private,241998, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,4787,0,40, United-States, >50K\n44, Private,106900, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, <=50K\n41, Private,204235, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n36, Local-gov,127772, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n26, Private,117217, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K\n48, Federal-gov,215389, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K\n21, Private,198050, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K\n39, Private,173476, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n38, Private,217349, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,14344,0,40, United-States, >50K\n44, Private,377018, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,99894, 10th,6, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,30, Japan, >50K\n25, Private,170786, 9th,5, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K\n32, Local-gov,250585, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n47, Private,198769, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K\n26, Private,306513, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,178623, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,14084,0,60, United-States, >50K\n23, Private,109307, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Federal-gov,106982, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K\n55, Self-emp-not-inc,396878, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,25, United-States, <=50K\n23, Private,344278, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,25, United-States, <=50K\n45, Private,203653, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,7298,0,40, United-States, >50K\n42, Local-gov,227890, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,40, United-States, <=50K\n29, Private,107812, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K\n48, Private,185143, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,143068, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-inc,114758, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n46, Private,266337, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n34, Private,321787, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n27, State-gov,21306, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Germany, <=50K\n18, Private,271935, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n18, Private,148952, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n42, Private,196626, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n64, ?,108082, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,199439, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n20, ?,304076, 11th,7, Never-married, ?, Own-child, Black, Female,0,0,20, United-States, <=50K\n52, Self-emp-inc,81436, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n44, Self-emp-inc,352971, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n53, Private,375134, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n36, Private,206521, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n27, Private,330466, Bachelors,13, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n52, Private,208302, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K\n60, Self-emp-not-inc,135285, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,171615, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n64, Self-emp-not-inc,149698, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,71351, 1st-4th,2, Never-married, Other-service, Other-relative, White, Male,0,0,25, El-Salvador, <=50K\n63, Private,84737, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n54, Local-gov,375134, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,207103, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,199314, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, Poland, <=50K\n63, Self-emp-not-inc,289741, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,41310,0,50, United-States, <=50K\n37, Private,240837, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n22, Private,283499, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,35, United-States, <=50K\n54, Private,97778, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,21698, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, Local-gov,232618, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,175820, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n25, Local-gov,63996, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Local-gov,182985, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n47, Federal-gov,380127, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,111483, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n18, ?,31008, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n57, Private,96346, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,57, United-States, <=50K\n22, Private,317528, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,34, United-States, <=50K\n36, State-gov,223020, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K\n33, ?,173998, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,1485,38, United-States, <=50K\n39, Private,115076, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,133969, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,50, United-States, >50K\n41, Private,173858, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n35, Private,193241, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K\n40, Self-emp-inc,50644, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,1506,0,40, United-States, <=50K\n30, Private,178841, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,177017, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,1504,37, United-States, <=50K\n25, Private,253267, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,1902,36, United-States, >50K\n37, Private,202027, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,50, United-States, >50K\n53, Self-emp-not-inc,321865, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K\n34, Self-emp-not-inc,321709, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K\n22, Private,166371, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, ?, <=50K\n18, Private,210574, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n52, ?,92968, Masters,14, Married-civ-spouse, ?, Wife, White, Female,15024,0,40, United-States, >50K\n45, Private,474617, HS-grad,9, Divorced, Sales, Unmarried, Black, Male,5455,0,40, United-States, <=50K\n19, Private,264390, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,2001,40, United-States, <=50K\n33, Self-emp-inc,144949, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K\n45, State-gov,90803, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n43, State-gov,126701, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n40, Private,178417, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n41, Self-emp-not-inc,197176, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, >50K\n25, Private,182227, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,40, United-States, <=50K\n22, Private,117606, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,32, United-States, <=50K\n52, Private,349502, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,45, United-States, <=50K\n45, Federal-gov,81487, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Puerto-Rico, >50K\n32, State-gov,169583, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K\n26, Private,485117, Bachelors,13, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K\n24, Private,35603, Some-college,10, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n37, Private,175390, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Private,184986, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Local-gov,174395, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,187711, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,189878, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,224073, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n48, Private,159726, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K\n40, ?,65545, Masters,14, Divorced, ?, Own-child, White, Female,0,0,55, United-States, <=50K\n26, Private,456618, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,2597,0,40, United-States, <=50K\n35, Private,202397, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n21, Private,206681, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n54, Private,222020, 10th,6, Divorced, Other-service, Not-in-family, White, Male,0,0,70, United-States, <=50K\n40, Private,137304, Bachelors,13, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n51, Private,141645, Some-college,10, Separated, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,218085, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,50, United-States, <=50K\n22, Private,52596, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,8, United-States, <=50K\n20, Private,197997, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,191444, 11th,7, Never-married, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K\n21, Private,40767, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,172577, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K\n36, Private,241998, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n65, State-gov,215908, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,2174,40, United-States, >50K\n48, Private,212120, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,109133, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,27828,0,60, Iran, >50K\n20, Private,224424, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n41, State-gov,214985, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,147098, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n39, Local-gov,149833, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Federal-gov,253770, Some-college,10, Married-civ-spouse, Transport-moving, Wife, White, Female,7298,0,40, United-States, >50K\n80, Private,252466, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,24, United-States, <=50K\n59, State-gov,132717, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,138944, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,280570, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,50, United-States, >50K\n56, Self-emp-not-inc,144380, Some-college,10, Married-spouse-absent, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n69, Local-gov,660461, HS-grad,9, Widowed, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n49, Private,177211, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,197424, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,40, United-States, <=50K\n28, Self-emp-inc,31717, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n49, Private,296849, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n51, Local-gov,193720, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n42, Private,106698, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n66, Private,214469, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,13, United-States, <=50K\n44, Private,185798, Assoc-voc,11, Separated, Craft-repair, Other-relative, White, Male,0,0,48, United-States, >50K\n26, Private,333108, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,35210, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,140845, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,155,40, United-States, <=50K\n25, ?,335376, Bachelors,13, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n17, Private,170455, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K\n52, Private,298215, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n34, ?,93834, HS-grad,9, Separated, ?, Own-child, White, Female,0,0,8, United-States, <=50K\n24, Private,404416, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, ?,206916, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n65, Private,143175, Some-college,10, Widowed, Sales, Other-relative, White, Female,0,0,45, United-States, <=50K\n36, Self-emp-not-inc,409189, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,285750, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,30, United-States, <=50K\n43, Private,235556, Some-college,10, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,45, Mexico, <=50K\n39, Local-gov,170382, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, England, >50K\n48, Private,195437, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n50, Local-gov,191130, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,231160, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n36, Private,47310, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n33, Private,214635, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,36, Haiti, <=50K\n50, Federal-gov,65160, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n49, State-gov,423222, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,99999,0,80, United-States, >50K\n34, Private,263307, Bachelors,13, Never-married, Sales, Unmarried, Black, Male,0,0,45, ?, <=50K\n70, Self-emp-inc,272896, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,232854, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,442035, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,127875, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n40, Private,283724, 9th,5, Never-married, Craft-repair, Other-relative, Black, Male,0,0,49, United-States, <=50K\n46, Private,403911, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1902,40, United-States, >50K\n21, ?,228649, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n40, Private,177027, Bachelors,13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,7688,0,52, Japan, >50K\n47, Private,249935, 11th,7, Divorced, Craft-repair, Own-child, White, Male,0,0,8, United-States, <=50K\n19, Private,533147, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n22, Private,137862, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,16, United-States, <=50K\n20, Private,249543, Some-college,10, Never-married, Protective-serv, Own-child, White, Female,0,0,16, United-States, <=50K\n46, Local-gov,230979, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,4787,0,25, United-States, >50K\n41, Private,137126, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K\n17, Private,147339, 10th,6, Never-married, Prof-specialty, Own-child, Other, Female,0,0,15, United-States, <=50K\n41, Private,256647, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Private,111696, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,1974,40, United-States, <=50K\n20, ?,150084, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n24, Private,285457, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,303867, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n44, Federal-gov,113597, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n26, Self-emp-not-inc,151626, HS-grad,9, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,26145, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,176189, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n58, Federal-gov,497253, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n41, Private,41090, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2002,60, United-States, <=50K\n38, Self-emp-not-inc,282461, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K\n21, Private,225541, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,203488, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K\n23, ?,296613, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,32, United-States, <=50K\n40, Private,99373, 10th,6, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Local-gov,109705, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,144947, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, Private,617898, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n50, Private,38310, 7th-8th,4, Divorced, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n45, Private,248993, HS-grad,9, Married-spouse-absent, Farming-fishing, Other-relative, Black, Male,0,0,40, United-States, <=50K\n65, ?,149131, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Italy, >50K\n33, Private,69311, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Federal-gov,143766, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n65, Private,213477, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,28, United-States, <=50K\n24, Private,275691, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,39, United-States, <=50K\n26, Private,59367, Bachelors,13, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n55, Private,35551, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n66, Private,236784, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,8, Cuba, <=50K\n43, Local-gov,193755, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,315291, Bachelors,13, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K\n22, Private,290504, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,256240, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n69, ?,199591, Prof-school,15, Married-civ-spouse, ?, Wife, White, Female,0,0,25, ?, <=50K\n27, Private,178709, Masters,14, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,449354, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,4386,0,45, United-States, >50K\n24, Private,187937, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, Never-worked,157131, 11th,7, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K\n53, Local-gov,188772, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n26, Private,157617, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, <=50K\n60, Private,96099, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,122322, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,60, United-States, <=50K\n39, Private,409189, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n45, Private,175925, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n76, Self-emp-not-inc,236878, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n19, Private,216647, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n34, Private,300681, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, Jamaica, >50K\n54, Private,327769, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,194723, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Local-gov,31251, 7th-8th,4, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,212506, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,23037, 12th,8, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,29054, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,92733, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n21, State-gov,184678, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n37, Federal-gov,32528, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, England, >50K\n63, Private,125954, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,2174,0,40, United-States, <=50K\n35, Private,73715, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,209212, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,56, ?, <=50K\n41, Private,287037, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,64667, HS-grad,9, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,60, Vietnam, <=50K\n26, Self-emp-inc,366662, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K\n36, Local-gov,113337, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,42, United-States, >50K\n47, Private,387468, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Scotland, >50K\n51, Private,384248, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,50, United-States, <=50K\n41, Private,332703, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Other, Female,0,625,40, United-States, <=50K\n40, Private,198873, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,30, United-States, >50K\n32, Private,317809, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4064,0,50, United-States, <=50K\n37, Local-gov,160910, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n40, Self-emp-inc,182629, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Private,267652, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,410186, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,365411, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K\n28, Private,205337, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n19, Self-emp-not-inc,100999, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n44, Private,197462, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,199143, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,7430,0,44, United-States, >50K\n47, Private,191978, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,50178, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,72442, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,248512, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,178140, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, >50K\n58, Private,354024, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n35, Private,143589, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n35, Private,219902, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n29, Local-gov,419722, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,3674,0,40, United-States, <=50K\n40, Private,154374, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n33, Private,132601, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n38, Self-emp-not-inc,29430, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,30731, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K\n66, Private,210825, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n36, Local-gov,251091, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,219034, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Federal-gov,35723, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n46, Private,358886, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,248708, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, ?,77937, 12th,8, Divorced, ?, Not-in-family, White, Female,0,0,40, Canada, <=50K\n30, Private,30063, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n29, Private,253799, 12th,8, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, England, <=50K\n60, ?,41553, Some-college,10, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n24, Private,59146, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K\n42, Self-emp-not-inc,343609, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,50, United-States, <=50K\n26, Private,216010, HS-grad,9, Separated, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Private,164526, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,150958, 5th-6th,3, Never-married, Farming-fishing, Unmarried, White, Male,0,0,48, Guatemala, <=50K\n26, Private,244495, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n23, Private,199336, Assoc-voc,11, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n60, Private,151369, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n49, Federal-gov,118701, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,219611, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,184568, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,246891, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n70, Self-emp-inc,243436, 9th,5, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n44, Local-gov,68318, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,55, United-States, <=50K\n58, Private,56331, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,190591, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K\n54, Private,140359, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, White, Female,0,3900,40, United-States, <=50K\n42, Self-emp-inc,23510, Masters,14, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0,2201,60, India, >50K\n28, Private,122540, 10th,6, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n65, Private,212562, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,20, United-States, <=50K\n35, Self-emp-not-inc,112497, HS-grad,9, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,35, Ireland, <=50K\n82, Private,147729, 5th-6th,3, Widowed, Other-service, Unmarried, White, Male,0,0,20, United-States, <=50K\n48, Self-emp-not-inc,296066, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n44, Private,148138, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,15024,0,40, Japan, >50K\n68, Private,50351, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,6360,0,20, United-States, <=50K\n42, Private,306496, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,210029, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,2001,37, United-States, <=50K\n54, Private,163894, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n22, Private,113936, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,316820, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K\n17, Private,53367, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n46, Self-emp-not-inc,95256, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n59, Private,127728, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,66686, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n70, ?,207627, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2228,0,24, United-States, <=50K\n57, Self-emp-inc,199768, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,30, United-States, >50K\n47, ?,186805, HS-grad,9, Married-civ-spouse, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n31, Private,154297, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,24, United-States, <=50K\n23, Private,103064, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n17, Private,93235, 12th,8, Never-married, Other-service, Own-child, White, Female,0,1721,25, United-States, <=50K\n63, Private,440607, Preschool,1, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,30, Mexico, <=50K\n44, Private,212894, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K\n30, Private,167990, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,378460, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n44, Private,151089, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,60, United-States, >50K\n24, Private,153583, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,114639, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,20, United-States, <=50K\n37, Private,344480, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K\n24, Private,188300, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,105938, HS-grad,9, Divorced, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,217826, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,25, Jamaica, <=50K\n20, Private,379525, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n34, State-gov,177331, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,4386,0,40, United-States, >50K\n37, Private,127918, Some-college,10, Never-married, Transport-moving, Unmarried, White, Female,0,0,20, Puerto-Rico, <=50K\n47, Federal-gov,27067, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,250038, 9th,5, Never-married, Farming-fishing, Other-relative, White, Male,0,0,45, Mexico, <=50K\n36, Self-emp-not-inc,36270, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1977,65, United-States, >50K\n60, Private,308608, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n64, Self-emp-inc,213574, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2635,0,10, United-States, <=50K\n32, Local-gov,235109, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n33, State-gov,374905, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n71, Private,118876, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,14, United-States, <=50K\n55, Local-gov,223716, Some-college,10, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n85, Self-emp-not-inc,166027, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n57, Self-emp-not-inc,275943, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K\n39, Private,198654, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,2415,67, India, >50K\n25, Private,109080, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,55, United-States, <=50K\n58, Private,104333, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,195876, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,390879, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K\n19, Private,197748, 11th,7, Divorced, Sales, Unmarried, White, Female,0,0,20, United-States, <=50K\n40, Private,442045, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,44216, HS-grad,9, Never-married, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n43, Federal-gov,114537, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n40, ?,253370, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,35, United-States, >50K\n19, Private,274830, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n24, Private,321763, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,38, United-States, <=50K\n34, Private,213226, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, >50K\n22, Private,167787, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n64, Self-emp-not-inc,352712, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n55, ?,316027, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, ?, <=50K\n26, Private,213412, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n80, Private,202483, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, <=50K\n79, Local-gov,146244, Doctorate,16, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,450544, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,81243, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Male,0,1876,40, United-States, <=50K\n43, Private,195258, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,57929, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K\n35, Private,953588, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n51, Private,99064, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n52, Local-gov,194788, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,4787,0,60, United-States, >50K\n43, Self-emp-inc,155293, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n68, Private,204082, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n34, State-gov,216283, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n37, Private,355856, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K\n22, Private,297380, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n32, Private,425622, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n65, Self-emp-not-inc,145628, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,115549, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,60, United-States, <=50K\n37, Private,245482, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n40, Self-emp-inc,142444, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n40, Private,134026, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n52, Private,177366, HS-grad,9, Separated, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K\n35, Private,38245, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n62, Self-emp-not-inc,215944, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n49, Private,115784, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n49, Private,170165, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Female,0,0,55, United-States, <=50K\n47, Private,355320, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n45, Private,116163, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,405644, 1st-4th,2, Married-spouse-absent, Farming-fishing, Other-relative, White, Male,0,0,77, Mexico, <=50K\n36, Local-gov,223433, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,53, United-States, >50K\n36, Private,41624, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, Mexico, <=50K\n44, Private,151089, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K\n51, State-gov,285747, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K\n25, State-gov,108542, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,212318, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n57, Private,173090, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,32, United-States, <=50K\n46, Private,26781, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n59, Private,31782, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,189241, 11th,7, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,164229, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,2597,0,40, United-States, <=50K\n35, Private,240467, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n27, Private,263614, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n29, Private,74500, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n43, Federal-gov,263502, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Federal-gov,47707, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n26, Private,231638, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n55, ?,389479, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n36, Private,111128, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,152307, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n23, ?,280134, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,609789, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, ?, <=50K\n41, Private,184466, 11th,7, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,55, United-States, <=50K\n44, Private,216411, Assoc-voc,11, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, Dominican-Republic, <=50K\n48, Self-emp-not-inc,324173, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n35, Local-gov,300681, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,7298,0,35, United-States, >50K\n43, Local-gov,598995, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,42, United-States, <=50K\n57, Federal-gov,140711, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n44, Local-gov,262241, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n28, Private,308136, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,148590, 10th,6, Widowed, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n52, Private,195635, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2051,38, United-States, <=50K\n30, Private,228406, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Private,136398, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, Thailand, >50K\n21, ?,305466, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,70, United-States, <=50K\n50, Self-emp-inc,175070, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n43, Self-emp-not-inc,34007, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, >50K\n33, Private,121195, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Other, Male,0,0,50, United-States, <=50K\n23, Federal-gov,216853, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, United-States, <=50K\n35, Private,81280, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, Yugoslavia, >50K\n18, Private,212936, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n21, ?,213055, Some-college,10, Never-married, ?, Unmarried, Other, Female,0,0,40, United-States, <=50K\n33, Local-gov,220430, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,70, United-States, >50K\n30, Federal-gov,73514, Bachelors,13, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,45, United-States, <=50K\n21, Private,307371, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,15, United-States, <=50K\n36, Local-gov,380614, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, Germany, >50K\n38, Private,119992, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,192002, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, Canada, >50K\n24, Private,327518, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n24, Private,220323, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K\n39, Private,421633, Some-college,10, Divorced, Protective-serv, Unmarried, Black, Female,0,0,30, United-States, <=50K\n43, Private,154210, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,2829,0,60, China, <=50K\n43, Self-emp-not-inc,35034, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,21, United-States, <=50K\n62, ?,378239, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, >50K\n30, State-gov,270218, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n25, Private,254933, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,61751, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K\n22, Private,137876, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,20, United-States, <=50K\n73, Private,336007, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2246,40, United-States, >50K\n26, Private,222539, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,233856, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,45, United-States, <=50K\n18, Private,198616, 12th,8, Never-married, Craft-repair, Own-child, White, Male,594,0,20, United-States, <=50K\n35, Private,202027, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7298,0,35, United-States, >50K\n22, Private,203182, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,43, United-States, <=50K\n28, Private,221317, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n38, Private,186934, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n68, ?,351402, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,70, United-States, <=50K\n40, Local-gov,179580, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n32, Private,26803, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,84, United-States, >50K\n42, Private,344624, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,50, United-States, >50K\n31, State-gov,59969, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K\n33, Private,162930, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, Italy, <=50K\n54, Self-emp-not-inc,192654, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K\n63, Private,117681, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,25, United-States, <=50K\n67, Self-emp-not-inc,179285, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n47, Private,217161, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,14, United-States, <=50K\n67, Self-emp-inc,116517, Bachelors,13, Widowed, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n33, Private,170336, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Other, Female,0,0,19, United-States, <=50K\n33, Local-gov,256529, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,80, United-States, <=50K\n25, Local-gov,227886, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,141706, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,361888, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n54, Private,185407, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n35, Self-emp-not-inc,176101, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, >50K\n18, Private,216730, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n54, ?,155755, HS-grad,9, Divorced, ?, Not-in-family, White, Female,4416,0,25, United-States, <=50K\n30, Private,609789, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, Mexico, <=50K\n29, Private,136017, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K\n41, Private,58880, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,10, United-States, >50K\n40, Private,285787, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,173243, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,5178,0,40, United-States, >50K\n39, Private,160916, Assoc-acdm,12, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,45, United-States, <=50K\n42, Private,227397, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n49, Self-emp-not-inc,111066, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,189924, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,31740, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,120837, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2042,48, United-States, <=50K\n31, Private,172304, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n72, ?,166253, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,2, United-States, <=50K\n31, Private,86492, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, >50K\n90, Private,206667, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n27, Self-emp-not-inc,153546, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n18, ?,189041, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,115932, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,99999,0,50, United-States, >50K\n27, Local-gov,151626, HS-grad,9, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,37302, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n28, Private,109001, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,195488, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K\n43, Local-gov,216116, Masters,14, Separated, Prof-specialty, Unmarried, Black, Female,0,0,37, United-States, <=50K\n26, Private,118497, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n48, Self-emp-not-inc,101233, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, <=50K\n41, Private,349703, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n32, Private,226883, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, <=50K\n23, Private,214635, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,169672, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K\n42, Private,71458, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n27, State-gov,142621, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,4101,0,40, United-States, <=50K\n34, Private,125279, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,197303, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Local-gov,148995, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,4787,0,45, United-States, >50K\n34, Private,69251, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n39, Private,160123, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,137310, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, ?, <=50K\n25, Private,323229, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,138626, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,2174,0,50, United-States, <=50K\n46, Private,102359, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,151888, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,4650,0,50, Ireland, <=50K\n37, Private,404661, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, Private,99146, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n38, Self-emp-not-inc,185325, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n35, Self-emp-not-inc,230268, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-inc,38819, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,380614, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,13, United-States, >50K\n45, Private,319637, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n71, Private,149040, 12th,8, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,320984, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n19, ?,117201, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,22, United-States, <=50K\n38, Private,81965, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Local-gov,182302, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,53434, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n48, Private,216214, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-inc,24127, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,54, United-States, >50K\n32, Federal-gov,115066, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,120277, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n57, Self-emp-not-inc,134286, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K\n55, Private,26716, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n48, ?,174533, 11th,7, Separated, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-inc,175958, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, ?, <=50K\n36, Private,218948, 9th,5, Separated, Other-service, Unmarried, Black, Female,0,0,40, ?, <=50K\n66, Private,117746, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,206199, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,89922, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n62, Private,69867, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n31, Private,109020, Bachelors,13, Never-married, Prof-specialty, Unmarried, Other, Male,0,0,40, United-States, <=50K\n77, ?,158847, Assoc-voc,11, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n25, Private,130302, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,156728, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,56, United-States, <=50K\n33, Private,424719, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Federal-gov,217647, Some-college,10, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n20, Private,33087, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Federal-gov,241895, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,38455, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,81054, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,25, United-States, <=50K\n44, Private,163215, 12th,8, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,156728, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,127930, HS-grad,9, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K\n46, Federal-gov,227310, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n24, Private,96844, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,17, United-States, <=50K\n18, Private,245199, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,46385, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,186385, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,8, United-States, <=50K\n55, Private,252714, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n68, Private,154897, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n41, Private,320744, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,138852, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n48, Private,102092, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, ?,32533, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,45, United-States, <=50K\n45, Private,278151, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,338290, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,34378, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n43, Private,91959, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n36, Private,265881, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, Private,276009, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,30, Philippines, <=50K\n27, Private,193898, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n36, Private,139364, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n47, State-gov,306473, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,37232, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,80, United-States, <=50K\n19, State-gov,56424, 12th,8, Never-married, Transport-moving, Own-child, Black, Male,0,0,20, United-States, <=50K\n33, Private,165235, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Thailand, <=50K\n34, Private,153326, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,106976, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n57, Private,109015, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K\n59, Private,154100, Masters,14, Never-married, Sales, Not-in-family, White, Female,27828,0,45, United-States, >50K\n36, Private,183739, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, White, Female,0,2002,40, United-States, <=50K\n60, Private,367695, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n33, Local-gov,156015, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,185132, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n20, Self-emp-not-inc,188274, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K\n28, Local-gov,50512, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,2202,0,50, United-States, <=50K\n24, State-gov,147719, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,20, India, <=50K\n31, Private,414525, 12th,8, Never-married, Farming-fishing, Not-in-family, Black, Male,0,0,60, United-States, <=50K\n38, Private,289148, HS-grad,9, Married-spouse-absent, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Private,176069, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n55, State-gov,199713, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, <=50K\n49, Private,297884, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4064,0,50, United-States, <=50K\n33, Private,204829, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n52, Private,155433, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, ?, <=50K\n24, Local-gov,32950, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n46, Private,233511, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K\n20, Private,210781, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n50, Private,190762, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n22, Private,83315, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-inc,343872, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,35, Haiti, <=50K\n46, Private,185385, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n62, ?,302142, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2961,0,30, United-States, <=50K\n39, Private,80324, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,62, United-States, >50K\n26, Private,357933, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n20, Private,211293, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,14, United-States, <=50K\n37, Self-emp-inc,199265, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,202872, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,24, United-States, <=50K\n22, Private,195075, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K\n32, Private,317378, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,10520,0,40, United-States, >50K\n41, Private,187802, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K\n24, Private,97212, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n40, Private,47902, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n37, State-gov,76767, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,39, United-States, >50K\n42, Private,172297, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,40, United-States, >50K\n56, Private,274475, 9th,5, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,105244, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n55, Local-gov,165695, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n29, Private,253801, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n37, Private,305597, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,352448, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n26, Private,242768, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K\n49, Self-emp-inc,201080, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n18, Local-gov,159032, 7th-8th,4, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,149568, 9th,5, Never-married, Farming-fishing, Other-relative, Black, Male,0,0,40, United-States, <=50K\n24, Private,229553, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,20, ?, <=50K\n24, State-gov,155775, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,120074, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,257588, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,177907, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,65, United-States, <=50K\n40, Private,309311, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,138975, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n43, Self-emp-not-inc,187778, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n19, Private,35865, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,35, United-States, <=50K\n50, Private,234373, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1485,40, United-States, <=50K\n17, ?,151141, 10th,6, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n39, Private,144688, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,50, United-States, <=50K\n43, Private,248094, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n43, Private,248094, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,213821, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n31, State-gov,55849, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,121712, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Federal-gov,164552, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1876,40, United-States, <=50K\n55, Private,223127, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,190514, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,75, United-States, <=50K\n29, Private,203797, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Private,378460, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,10520,0,60, United-States, >50K\n30, Private,105908, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,232356, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1672,55, United-States, <=50K\n23, Private,210526, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n71, Private,193530, 11th,7, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,75, United-States, <=50K\n22, ?,22966, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K\n21, Private,43535, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n62, ?,72486, HS-grad,9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,24, China, <=50K\n22, ?,229997, Some-college,10, Married-spouse-absent, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Private,183013, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,113364, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,20, United-States, <=50K\n27, Private,197380, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,298635, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Hong, >50K\n26, Private,213385, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n30, ?,108464, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,31007, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n26, Private,35917, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n45, Private,99385, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Canada, <=50K\n50, Private,48358, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n31, Private,241885, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,45, United-States, <=50K\n51, Private,24344, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Private,149686, 9th,5, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, State-gov,154432, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,35, United-States, <=50K\n29, Private,331875, 12th,8, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Dominican-Republic, <=50K\n26, Private,259585, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,24, United-States, <=50K\n51, Private,104748, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n32, Local-gov,144949, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n47, State-gov,199512, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,302438, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, ?,129155, 11th,7, Widowed, ?, Other-relative, Black, Female,0,0,40, United-States, <=50K\n49, Federal-gov,115784, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,96509, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K\n62, Private,226733, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n43, Self-emp-inc,244945, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n76, Private,243768, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,20, United-States, <=50K\n40, ?,351161, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,186934, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,89813, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n54, Self-emp-inc,129432, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n55, Self-emp-not-inc,184702, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,275291, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,12, United-States, <=50K\n20, Private,258298, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n39, Private,139743, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n26, Private,102476, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,10520,0,64, United-States, >50K\n20, Private,103840, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,42, United-States, <=50K\n28, Private,274579, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n56, Federal-gov,156842, Some-college,10, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, Private,101020, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n44, Federal-gov,68729, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n55, Private,141326, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n54, Self-emp-not-inc,168723, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,347166, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,13550,0,45, United-States, >50K\n34, Local-gov,213722, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,57, United-States, >50K\n42, Private,196797, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Female,0,0,38, United-States, <=50K\n50, Self-emp-inc,207246, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,75, United-States, <=50K\n34, Federal-gov,199934, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n23, Private,272185, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,33, United-States, <=50K\n27, ?,190650, Bachelors,13, Never-married, ?, Unmarried, Asian-Pac-Islander, Male,0,0,25, Philippines, <=50K\n81, ?,147097, Bachelors,13, Widowed, ?, Not-in-family, White, Male,0,0,5, United-States, <=50K\n47, Private,266281, 11th,7, Never-married, Machine-op-inspct, Unmarried, Black, Female,6849,0,40, United-States, <=50K\n57, Private,96779, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n65, ?,117162, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,56, United-States, >50K\n33, Private,188352, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n37, Private,359131, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,48, United-States, <=50K\n53, Private,198824, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, State-gov,68393, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,115613, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n42, Private,45363, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,121590, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,4787,0,40, United-States, >50K\n58, Local-gov,292379, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,482732, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,24, United-States, <=50K\n19, Private,198663, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n39, Private,230329, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n51, Private,29887, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,44, United-States, <=50K\n52, Private,194259, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, Germany, <=50K\n53, Private,126368, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, >50K\n50, Private,108446, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,220696, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,32008, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,72, United-States, <=50K\n30, Private,191777, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, ?, <=50K\n50, Private,185846, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n76, Private,127016, 7th-8th,4, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,102308, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,40, United-States, >50K\n24, Private,157894, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n26, Private,345405, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,2885,0,40, United-States, <=50K\n56, Self-emp-not-inc,94156, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n50, Private,145409, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n22, Private,190968, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,40, United-States, <=50K\n23, Local-gov,212803, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n51, Private,168660, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n58, Private,234481, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,131461, 9th,5, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,24, Haiti, <=50K\n45, Private,408773, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-not-inc,126117, HS-grad,9, Widowed, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,155489, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n42, Private,296749, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n44, State-gov,185832, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,46, United-States, >50K\n60, Private,43235, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,213152, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Local-gov,334267, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n61, ?,253101, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,24, United-States, <=50K\n43, Private,64631, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n44, Local-gov,193882, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,1340,40, United-States, <=50K\n63, Private,71800, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,41, United-States, <=50K\n46, Local-gov,170092, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,43, United-States, <=50K\n47, Private,198223, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,359796, Some-college,10, Divorced, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n43, Private,110556, HS-grad,9, Separated, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,196858, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n48, ?,112860, 10th,6, Married-civ-spouse, ?, Wife, Black, Female,0,0,35, United-States, <=50K\n61, Self-emp-not-inc,224784, Assoc-acdm,12, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,90, United-States, <=50K\n53, Federal-gov,271544, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,1977,40, United-States, >50K\n79, ?,142171, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,1409,0,35, United-States, <=50K\n44, Private,221172, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n54, Private,256916, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n22, Private,157332, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Federal-gov,192894, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, >50K\n18, Private,240183, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n25, Private,204338, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n24, Private,122166, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Iran, <=50K\n37, Local-gov,397877, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n51, Private,115066, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,2547,40, United-States, >50K\n35, Self-emp-not-inc,170174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,60, United-States, >50K\n59, Private,171015, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,34, United-States, <=50K\n46, Private,91262, Some-college,10, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n45, Local-gov,127678, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K\n19, Private,263338, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n22, Private,129508, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,28, United-States, <=50K\n41, Private,192107, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,93930, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Federal-gov,207537, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n22, Private,138542, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,35, United-States, <=50K\n29, Self-emp-not-inc,116207, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K\n22, Private,198244, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,39, United-States, <=50K\n34, Private,90614, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,2042,10, United-States, <=50K\n23, Private,211160, 12th,8, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,194630, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,3781,0,50, United-States, <=50K\n25, Private,161478, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n59, Private,144071, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,167005, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,55, United-States, <=50K\n55, Private,342121, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n77, Self-emp-not-inc,71676, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,1944,1, United-States, <=50K\n42, Private,124692, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,147236, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,145175, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,259323, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,154978, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Guatemala, <=50K\n60, ?,163946, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,127768, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Private,98588, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,192894, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,194848, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,34446, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n23, Local-gov,177265, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,45, United-States, <=50K\n30, Private,142977, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K\n45, Private,241350, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, >50K\n30, Private,154882, Prof-school,15, Widowed, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n17, Private,60562, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n22, Private,142566, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,176162, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Private,186303, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, Canada, >50K\n40, Private,237671, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n18, ?,184416, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,30, United-States, <=50K\n58, Private,68624, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n30, Private,229504, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n59, Private,340591, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3942,0,40, United-States, <=50K\n29, Private,262208, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,30, Jamaica, <=50K\n26, Private,236008, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Local-gov,214284, Bachelors,13, Widowed, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,10, Japan, <=50K\n33, Private,169496, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n21, ?,205940, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,195179, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,24, United-States, <=50K\n25, Private,469697, Some-college,10, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n19, ?,140242, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n44, Private,214415, Some-college,10, Separated, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n35, Private,452283, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,244172, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,231972, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n37, Private,412296, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Mexico, >50K\n32, Private,30497, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,189216, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K\n36, Private,268292, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, <=50K\n38, Private,69306, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n57, State-gov,111224, Bachelors,13, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,39, United-States, <=50K\n22, State-gov,309348, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K\n80, ?,174995, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, Canada, <=50K\n20, Private,210781, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n40, Private,286750, 11th,7, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,36, United-States, <=50K\n36, Self-emp-not-inc,321274, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,192936, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Private,72743, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n43, Private,187861, HS-grad,9, Separated, Transport-moving, Unmarried, White, Female,0,0,44, United-States, <=50K\n35, Private,179579, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,663394, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,302422, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n24, ?,154373, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, <=50K\n49, Local-gov,37353, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n26, Self-emp-not-inc,109609, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n47, Private,184402, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K\n20, Private,224640, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,405526, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,36385, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,2258,50, United-States, <=50K\n20, Private,147884, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,164231, 11th,7, Separated, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K\n25, Private,383306, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,417668, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,36, United-States, <=50K\n25, Private,161007, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n63, State-gov,99823, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,32, United-States, <=50K\n25, Private,37379, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K\n28, Private,148645, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,180477, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K\n28, Private,123147, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,4865,0,40, United-States, <=50K\n30, Private,111415, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n41, Local-gov,107327, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Local-gov,146565, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,4865,0,30, United-States, <=50K\n36, Private,267556, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,40, United-States, <=50K\n47, Private,284871, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n27, Private,194690, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,50, Mexico, <=50K\n32, Federal-gov,145983, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K\n52, Private,163998, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,99999,0,45, United-States, >50K\n50, Private,128478, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K\n21, Private,250647, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,30, Nicaragua, <=50K\n60, Private,226949, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K\n47, Private,157901, 11th,7, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,36, United-States, <=50K\n54, Self-emp-not-inc,33863, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n32, Local-gov,40444, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n61, Private,54373, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,52753, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1504,40, United-States, <=50K\n29, Self-emp-not-inc,104423, Some-college,10, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,4386,0,45, United-States, >50K\n36, Local-gov,305714, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,70, United-States, <=50K\n38, Local-gov,167440, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n59, Private,291529, 10th,6, Widowed, Machine-op-inspct, Not-in-family, White, Male,0,0,52, United-States, <=50K\n43, Private,243380, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,38619, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,10, United-States, <=50K\n42, Private,230684, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,40, United-States, <=50K\n33, Private,132601, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n47, Private,193285, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,5013,0,40, United-States, <=50K\n51, Private,279156, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n28, Private,339372, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Private,101265, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,43, United-States, <=50K\n23, Private,117789, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n31, Private,312667, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,255503, 11th,7, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K\n21, Private,221955, 9th,5, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K\n22, Private,139190, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n35, Private,185556, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n53, Federal-gov,84278, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n40, Private,114580, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,24, United-States, >50K\n36, Private,185405, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n33, Self-emp-not-inc,199539, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n23, Private,346480, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n51, Local-gov,349431, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, United-States, >50K\n31, Private,219619, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,48, United-States, <=50K\n28, Local-gov,127491, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,5721,0,40, United-States, <=50K\n26, Self-emp-not-inc,253899, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,155232, Bachelors,13, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,60, United-States, >50K\n43, Private,182437, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n19, Private,530454, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n46, Private,101430, 11th,7, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Local-gov,358668, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n31, Private,90668, 10th,6, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,126141, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,238355, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n22, Private,194031, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n25, Private,117833, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1876,40, United-States, <=50K\n46, Private,249686, Prof-school,15, Separated, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n44, Self-emp-not-inc,219591, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,221757, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,80625, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,185407, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n34, Private,163110, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n34, ?,24504, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,159187, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,55, United-States, >50K\n21, Private,100462, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Female,2174,0,60, United-States, <=50K\n27, Private,192936, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,145011, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-inc,181196, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Self-emp-not-inc,37778, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n27, Private,60288, Masters,14, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,84231, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,48, United-States, <=50K\n24, Private,52028, 1st-4th,2, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,5, Vietnam, <=50K\n63, Private,318763, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,22, United-States, <=50K\n29, Private,168138, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,113530, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,321896, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,145791, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,131425, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,145214, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,4650,0,20, United-States, <=50K\n64, Local-gov,142166, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,99, United-States, <=50K\n20, Private,494784, HS-grad,9, Never-married, Sales, Other-relative, Black, Female,0,0,35, United-States, <=50K\n44, Self-emp-not-inc,172479, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024,0,60, United-States, >50K\n35, Private,184655, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n41, Local-gov,26669, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,191479, Some-college,10, Divorced, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K\n21, Private,86625, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, ?, <=50K\n64, State-gov,111795, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n42, Private,242564, 7th-8th,4, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,2205,40, United-States, <=50K\n31, Private,364657, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, >50K\n42, Self-emp-not-inc,436107, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,272476, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, >50K\n36, Federal-gov,47310, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, >50K\n23, Private,283796, 12th,8, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,30, Mexico, <=50K\n20, Private,161092, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,14, United-States, <=50K\n26, Local-gov,265230, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n56, Federal-gov,61885, Bachelors,13, Never-married, Transport-moving, Not-in-family, Black, Male,0,2001,65, United-States, <=50K\n40, Private,150471, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,183041, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K\n33, Private,176673, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n45, Federal-gov,235891, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, Columbia, <=50K\n41, Private,163287, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,43, United-States, >50K\n29, Private,164040, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,324561, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n48, Private,99127, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n38, Private,334999, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n29, Private,543477, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n35, Private,65876, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Local-gov,105866, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,30, United-States, <=50K\n27, Private,214858, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,154076, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n70, Private,280307, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, Cuba, <=50K\n30, Private,97723, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,45, United-States, <=50K\n24, Private,233499, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n76, Local-gov,259612, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,15, United-States, <=50K\n25, Private,236977, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,40, Mexico, <=50K\n39, Private,347814, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,56, United-States, <=50K\n36, Local-gov,197495, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,227594, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n60, Private,165441, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, ?,337488, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,30, United-States, <=50K\n54, Private,167552, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Haiti, >50K\n20, Private,396722, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Federal-gov,146538, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,51973, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Private,144778, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,169672, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,240137, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, Mexico, <=50K\n54, State-gov,103179, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n17, Private,172050, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K\n43, Private,178976, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,176185, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,2258,42, United-States, <=50K\n30, Private,158200, Prof-school,15, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,40, ?, <=50K\n38, Federal-gov,172571, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K\n54, Self-emp-not-inc,226735, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,45, United-States, <=50K\n39, Private,148015, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,52, United-States, <=50K\n32, Private,199529, Some-college,10, Separated, Tech-support, Not-in-family, Amer-Indian-Eskimo, Male,0,1980,40, United-States, <=50K\n61, Local-gov,35001, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,2885,0,40, United-States, <=50K\n24, ?,67586, Assoc-voc,11, Married-civ-spouse, ?, Wife, Black, Female,0,0,35, United-States, <=50K\n22, Private,88126, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,226296, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,452452, 10th,6, Never-married, Priv-house-serv, Own-child, Black, Female,0,0,20, United-States, <=50K\n20, Private,378546, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,25, United-States, <=50K\n53, Federal-gov,186087, HS-grad,9, Divorced, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K\n32, Private,27856, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n68, Self-emp-not-inc,234859, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n28, Private,71733, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K\n28, Private,207473, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, El-Salvador, <=50K\n54, Private,179291, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,56, Haiti, >50K\n21, ?,253190, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,48, United-States, <=50K\n52, Private,92968, Bachelors,13, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, ?, <=50K\n25, Private,209286, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,122889, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, India, >50K\n33, Private,112358, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K\n49, Private,176341, Bachelors,13, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female,0,0,40, India, <=50K\n58, Private,247276, 7th-8th,4, Widowed, Other-service, Not-in-family, Other, Female,0,0,30, United-States, <=50K\n45, Private,276087, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,24, United-States, >50K\n67, Private,257557, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,10566,0,40, United-States, <=50K\n42, Local-gov,177937, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, ?, <=50K\n69, Self-emp-inc,106395, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n61, Private,167138, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,213887, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,185647, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n19, Private,143360, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,34, United-States, <=50K\n31, Self-emp-not-inc,176862, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Federal-gov,97614, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n76, ?,224680, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,1258,20, United-States, <=50K\n53, Private,196763, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K\n46, Private,306183, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K\n43, Self-emp-not-inc,343061, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,4508,0,40, Cuba, <=50K\n48, ?,193047, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,348521, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2415,99, United-States, >50K\n59, Private,195835, 7th-8th,4, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,106273, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,38, United-States, <=50K\n40, Private,222756, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n63, Self-emp-inc,110610, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n44, ?,191982, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,10, Poland, <=50K\n46, Private,247286, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,219042, 10th,6, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Private,224566, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,1669,45, United-States, <=50K\n57, Private,204751, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n58, Private,113398, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K\n25, ?,170428, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,28, Taiwan, <=50K\n59, Private,258579, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,35, United-States, >50K\n36, Private,162424, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n29, Private,263005, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, Germany, <=50K\n49, Self-emp-inc,26502, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,6497,0,45, United-States, <=50K\n42, Private,369131, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n43, Local-gov,114859, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,17, United-States, <=50K\n46, Private,405309, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,323627, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,12, United-States, <=50K\n40, Private,106698, Assoc-acdm,12, Divorced, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,51506, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,117251, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K\n26, Private,106705, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,28, United-States, <=50K\n30, Private,217296, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K\n58, Private,34788, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K\n43, Private,143368, HS-grad,9, Divorced, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n53, Local-gov,86600, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n74, State-gov,117017, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,16, United-States, <=50K\n64, ?,104756, Some-college,10, Widowed, ?, Unmarried, White, Female,0,0,8, United-States, <=50K\n45, Private,55720, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n32, State-gov,481096, 5th-6th,3, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,10, United-States, <=50K\n23, ?,281668, 10th,6, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n38, Private,186145, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n42, Self-emp-not-inc,96524, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n24, Local-gov,187397, Some-college,10, Never-married, Protective-serv, Unmarried, Other, Male,1151,0,40, United-States, <=50K\n63, Private,181153, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n25, Local-gov,375170, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,35, United-States, <=50K\n37, Private,360743, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,420054, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K\n31, Private,137681, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,28419, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n44, Private,101214, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,44, United-States, >50K\n42, Local-gov,213019, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n45, Private,207540, Doctorate,16, Separated, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K\n52, Private,145333, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n40, Private,107306, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,195327, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,196126, Bachelors,13, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K\n17, Private,175465, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,14, United-States, <=50K\n27, Private,197905, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n71, Self-emp-inc,118119, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,50, United-States, >50K\n35, Private,172571, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,25051, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n26, Private,210714, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,52, United-States, >50K\n22, Private,183083, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,35, United-States, <=50K\n51, Private,99185, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n33, Private,283921, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,396467, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, >50K\n50, Private,158680, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,202091, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n21, Private,285127, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n53, Private,218630, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n32, Self-emp-inc,99309, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,165505, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n22, Private,122272, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n58, Private,147707, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n47, Federal-gov,44257, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K\n51, Self-emp-inc,194995, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n42, State-gov,345969, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n28, Private,31842, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,143582, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,35, Vietnam, <=50K\n50, Private,161438, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,317019, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n47, Self-emp-not-inc,158451, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K\n60, Private,225883, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,27, United-States, <=50K\n46, Self-emp-not-inc,176319, HS-grad,9, Married-civ-spouse, Sales, Own-child, White, Female,7298,0,40, United-States, >50K\n58, Self-emp-inc,258883, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n62, Private,26966, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,202812, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n59, Private,35411, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,190885, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n31, Private,182162, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,37, United-States, <=50K\n18, Private,352640, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n64, Self-emp-not-inc,213945, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n51, Self-emp-not-inc,135102, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n47, Self-emp-not-inc,102583, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K\n68, Private,225612, Bachelors,13, Widowed, Sales, Not-in-family, White, Male,0,0,35, United-States, >50K\n32, Private,241802, HS-grad,9, Married-civ-spouse, Other-service, Wife, Other, Female,0,0,40, United-States, <=50K\n39, Private,347434, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,43, Mexico, <=50K\n37, Private,305259, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, <=50K\n29, Private,140830, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n44, Private,291568, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0,0,40, United-States, <=50K\n46, Private,203067, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-not-inc,155106, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n19, ?,252752, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,35, United-States, <=50K\n65, ?,404601, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2414,0,30, United-States, <=50K\n52, Local-gov,100226, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n40, Private,63503, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n61, Private,95929, 9th,5, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,187618, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n61, Self-emp-not-inc,92178, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,220362, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,84, United-States, >50K\n32, Local-gov,209900, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K\n32, Private,272376, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,173854, Bachelors,13, Divorced, Prof-specialty, Other-relative, White, Male,0,0,35, United-States, >50K\n37, Private,278924, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,324568, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n51, Self-emp-inc,124963, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,211299, Assoc-voc,11, Never-married, Sales, Not-in-family, Black, Male,0,0,45, United-States, <=50K\n48, Private,192791, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n69, Private,182862, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,15831,0,40, United-States, >50K\n28, Private,46868, Masters,14, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Local-gov,31365, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n45, Private,148171, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, United-States, >50K\n18, Private,142647, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n60, Private,116230, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,108907, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, ?, <=50K\n19, Private,495982, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K\n18, Private,334026, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,25, United-States, <=50K\n33, Private,268571, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,213813, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,241667, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n37, Private,160920, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n50, Private,107265, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n19, ?,41609, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,10, United-States, <=50K\n28, Private,129460, 10th,6, Widowed, Adm-clerical, Unmarried, White, Female,0,2238,35, United-States, <=50K\n43, ?,109912, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,7, United-States, >50K\n23, Private,167424, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n47, Private,270079, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,325923, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,35, United-States, <=50K\n19, Private,194905, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K\n47, Local-gov,183486, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n36, Federal-gov,153066, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n62, Self-emp-inc,56248, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2415,60, United-States, >50K\n65, Private,105252, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n46, Self-emp-not-inc,168195, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,45, United-States, >50K\n35, Private,167735, 11th,7, Never-married, Craft-repair, Own-child, White, Male,6849,0,40, United-States, <=50K\n50, Private,146310, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,256504, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,6, United-States, <=50K\n17, Private,121425, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K\n33, Private,146440, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n57, ?,155259, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Self-emp-not-inc,98829, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n47, Self-emp-inc,239321, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n62, Self-emp-inc,134768, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n35, Private,556902, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n27, Private,47907, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K\n23, Private,114357, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,50, United-States, <=50K\n27, Private,189462, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1504,45, United-States, <=50K\n39, Private,90646, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,232914, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,38, United-States, <=50K\n24, Private,192201, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n23, Private,27776, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,137476, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K\n30, Private,100734, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,38, United-States, <=50K\n34, Private,111746, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,45, Portugal, <=50K\n32, Private,184833, 10th,6, Separated, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, Private,414721, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,1602,23, United-States, <=50K\n20, Private,151780, Assoc-voc,11, Never-married, Sales, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n38, State-gov,203628, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n18, Private,137363, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Private,172307, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,273403, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n36, State-gov,37931, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, >50K\n61, Private,97030, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n30, Private,54608, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n26, Private,108542, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,253814, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n45, Private,421412, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n47, Private,207140, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n19, Private,138153, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n29, Private,46987, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K\n51, Self-emp-inc,183173, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n34, Local-gov,229531, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n42, Self-emp-not-inc,320744, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3908,0,45, United-States, <=50K\n26, Private,257405, 5th-6th,3, Never-married, Farming-fishing, Other-relative, Black, Male,0,0,40, Mexico, <=50K\n20, State-gov,432052, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,15, United-States, <=50K\n43, Private,397280, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n20, Private,38001, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n27, Private,101618, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n46, Federal-gov,332727, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,115215, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,178449, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,49, United-States, <=50K\n42, Private,185267, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,32, United-States, <=50K\n23, Private,410439, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K\n29, Private,85572, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,42, United-States, >50K\n27, Private,83517, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K\n43, Self-emp-not-inc,194726, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n23, Private,322674, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Local-gov,34540, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,44, United-States, <=50K\n35, Local-gov,211073, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,61, United-States, >50K\n30, Private,194901, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n59, Private,117059, 11th,7, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n65, Self-emp-not-inc,78875, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,2290,0,40, United-States, <=50K\n28, Private,51461, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n79, Private,266119, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,92374, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,35, United-States, >50K\n54, Private,175262, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,208249, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,62, United-States, <=50K\n30, Private,196385, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,35, United-States, >50K\n22, ?,110622, Bachelors,13, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,15, Taiwan, <=50K\n34, Private,146980, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,65, United-States, <=50K\n18, Private,112974, 11th,7, Never-married, Prof-specialty, Other-relative, White, Male,0,0,3, United-States, <=50K\n40, Self-emp-not-inc,175943, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,15, United-States, >50K\n28, Private,163265, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,4508,0,40, United-States, <=50K\n18, Private,210932, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Private,145290, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,198992, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n77, ?,174887, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K\n41, Federal-gov,36651, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,40, United-States, >50K\n48, Private,190072, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n29, Private,49087, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n41, Private,126622, 11th,7, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,174189, 9th,5, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,118605, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n49, Self-emp-not-inc,377622, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n49, Private,157272, HS-grad,9, Separated, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K\n30, Private,78530, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,190391, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n62, State-gov,162678, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,103980, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,52, United-States, <=50K\n20, Private,293726, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Private,98350, Preschool,1, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n30, Private,207668, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,60, Hungary, <=50K\n29, Federal-gov,41013, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K\n50, Private,188186, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,1590,45, United-States, <=50K\n44, Federal-gov,320071, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,306908, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n62, Private,167652, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Private,173580, Some-college,10, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,273612, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n26, Private,195555, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Private,186446, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n22, Private,418405, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, Local-gov,41793, Masters,14, Separated, Prof-specialty, Not-in-family, White, Female,0,0,50, ?, <=50K\n26, Private,183965, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,354784, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n44, Private,198096, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n32, Private,732102, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,97847, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,196678, Preschool,1, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K\n19, Private,320014, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n54, Self-emp-inc,298215, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,295127, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,368140, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n37, Self-emp-not-inc,187411, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, ?, <=50K\n22, ?,121070, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K\n34, Private,212163, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K\n35, Self-emp-not-inc,108198, HS-grad,9, Divorced, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0,0,15, United-States, <=50K\n42, Federal-gov,294431, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n47, Federal-gov,202560, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n29, Self-emp-inc,266070, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,80, United-States, <=50K\n34, Private,346122, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-inc,308686, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K\n62, Self-emp-inc,236096, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,187711, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,238959, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n47, Private,93557, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,329980, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,125010, Assoc-voc,11, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,30, United-States, <=50K\n60, Self-emp-inc,90915, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,289731, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n74, ?,33114, 10th,6, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male,1797,0,30, United-States, <=50K\n63, Private,206052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,191385, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n44, ?,268804, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,30, United-States, <=50K\n40, Self-emp-inc,191429, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n35, Self-emp-not-inc,199753, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K\n50, Local-gov,92486, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,171088, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K\n33, Private,112820, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,32855, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n17, Private,142964, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n47, Private,89146, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K\n51, ?,147015, Some-college,10, Divorced, ?, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n26, Private,291968, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Local-gov,29235, Some-college,10, Married-civ-spouse, Protective-serv, Wife, White, Female,0,0,40, France, >50K\n55, Private,238216, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, State-gov,323726, Some-college,10, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n54, Private,141663, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n19, ?,218471, HS-grad,9, Never-married, ?, Own-child, White, Female,0,1602,30, United-States, <=50K\n32, Private,118551, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n52, Local-gov,35092, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,139703, HS-grad,9, Married-spouse-absent, Sales, Unmarried, Black, Female,0,0,28, Jamaica, <=50K\n39, Federal-gov,206190, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n59, Self-emp-not-inc,178353, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n55, Federal-gov,169133, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,103179, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n31, Private,354464, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,124651, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,25, United-States, <=50K\n30, Private,60426, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n47, Federal-gov,98726, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,133861, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,180303, Bachelors,13, Divorced, Craft-repair, Unmarried, Asian-Pac-Islander, Male,0,0,47, Iran, <=50K\n33, Private,221324, Assoc-voc,11, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Private,325658, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n32, Private,210562, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,152249, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,35, Mexico, <=50K\n29, Private,178649, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,20, France, <=50K\n41, State-gov,48997, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n39, Private,243409, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n34, Private,162442, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n23, Private,203078, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Male,0,0,24, United-States, <=50K\n53, Self-emp-inc,155983, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n45, Self-emp-not-inc,182677, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Thailand, <=50K\n34, ?,170276, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,10, United-States, >50K\n47, Private,105381, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, ?,256240, 7th-8th,4, Married-civ-spouse, ?, Own-child, White, Male,0,0,60, United-States, <=50K\n42, Private,210275, Masters,14, Divorced, Tech-support, Unmarried, Black, Female,4687,0,35, United-States, >50K\n53, Private,150980, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,40, United-States, <=50K\n38, Self-emp-inc,141584, HS-grad,9, Divorced, Sales, Unmarried, White, Male,0,0,55, United-States, <=50K\n26, Private,113571, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K\n18, Private,154089, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n43, Private,50197, 10th,6, Separated, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n26, Private,132572, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,32, United-States, <=50K\n47, Private,238185, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,112754, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, >50K\n21, ?,357029, Some-college,10, Married-civ-spouse, ?, Wife, Black, Female,2105,0,20, United-States, <=50K\n32, State-gov,213389, Some-college,10, Divorced, Protective-serv, Unmarried, White, Female,0,1726,38, United-States, <=50K\n48, Self-emp-inc,287647, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,55, United-States, >50K\n39, Private,150061, Masters,14, Divorced, Exec-managerial, Unmarried, Black, Female,15020,0,60, United-States, >50K\n58, Self-emp-inc,143266, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,68006, 7th-8th,4, Never-married, Other-service, Other-relative, White, Female,0,0,60, United-States, <=50K\n40, Private,287079, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,55, United-States, <=50K\n33, Private,223212, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n74, Self-emp-not-inc,173929, Doctorate,16, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,25, United-States, >50K\n49, Self-emp-not-inc,182211, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,55, United-States, <=50K\n56, Self-emp-not-inc,62539, 11th,7, Widowed, Other-service, Unmarried, White, Female,0,0,65, Greece, >50K\n29, Private,157612, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,14344,0,40, United-States, >50K\n25, Private,305472, Assoc-acdm,12, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,48, United-States, <=50K\n57, Private,548256, 12th,8, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Private,40295, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,112403, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,2354,0,40, United-States, <=50K\n59, Private,31137, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,116138, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,27828,0,60, United-States, >50K\n28, ?,127833, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n19, Private,201743, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n40, Private,240027, Some-college,10, Never-married, Sales, Unmarried, Black, Female,0,0,45, United-States, <=50K\n28, Private,129882, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, ?,355890, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,55, United-States, >50K\n20, Private,107658, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,10, Canada, <=50K\n58, Private,136841, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999,0,35, United-States, >50K\n19, Private,146679, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Male,0,0,30, United-States, <=50K\n75, ?,35724, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K\n24, Federal-gov,42251, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n31, Private,113838, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n28, Self-emp-not-inc,282398, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n41, Private,33331, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n23, Federal-gov,41031, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n46, Private,155489, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, >50K\n33, Private,53042, 12th,8, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n34, Private,174789, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n47, Local-gov,203067, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n81, Private,177408, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2377,26, United-States, >50K\n45, Private,216626, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, Other, Male,0,0,40, Columbia, <=50K\n35, Private,93034, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K\n59, Self-emp-not-inc,188003, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n46, Local-gov,65535, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n39, Private,366757, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n23, Private,414545, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K\n25, Private,295919, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,34378, 1st-4th,2, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-inc,58359, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n25, Private,476334, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n32, Private,255424, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n34, Local-gov,175856, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,124692, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,118551, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n78, ?,292019, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n31, Private,288566, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,43, United-States, >50K\n61, Private,137733, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K\n22, Private,39432, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,138537, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K\n37, Private,709445, HS-grad,9, Separated, Craft-repair, Other-relative, Black, Male,0,0,40, United-States, <=50K\n35, Private,194809, 11th,7, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Self-emp-inc,89041, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n37, ?,299090, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n18, Private,159561, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K\n37, Private,236328, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n46, Private,269045, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n25, ?,196627, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Federal-gov,323798, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,463072, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n32, Private,199655, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Other, Female,0,1740,40, ?, <=50K\n25, Self-emp-inc,98756, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,50, United-States, <=50K\n50, State-gov,161075, HS-grad,9, Widowed, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n18, Private,192485, 12th,8, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,20, United-States, <=50K\n25, Private,201579, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n23, Private,117606, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, ?,177487, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,237731, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,2829,0,65, United-States, <=50K\n37, Private,60313, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n37, Private,270059, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,25236,0,25, United-States, >50K\n27, Private,169958, 5th-6th,3, Never-married, Craft-repair, Own-child, White, Male,0,0,40, ?, <=50K\n19, Private,240686, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n52, Local-gov,124793, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Self-emp-not-inc,113948, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,0,0,45, United-States, <=50K\n17, ?,241021, 12th,8, Never-married, ?, Own-child, Other, Female,0,0,40, United-States, <=50K\n21, Private,147655, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,38876, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n55, Private,117299, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n20, ?,114813, 10th,6, Separated, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,136310, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n41, Federal-gov,153132, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n23, Private,197552, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n33, Private,69748, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n29, Private,175738, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n50, State-gov,78649, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n37, Self-emp-inc,188774, 11th,7, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,60, ?, <=50K\n48, Private,155659, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n19, Federal-gov,215891, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n40, Private,144928, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,33688, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Female,0,1669,70, United-States, <=50K\n65, Private,262446, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n44, Federal-gov,191295, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,48, United-States, <=50K\n32, Private,279173, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n41, Private,153031, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n28, Private,202239, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n44, Federal-gov,469454, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,48, United-States, >50K\n39, Local-gov,164156, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Female,0,0,55, United-States, <=50K\n59, Private,196482, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,176185, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, France, >50K\n34, Private,287315, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,117210, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,41610, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,160703, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K\n31, Private,80511, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,44, United-States, <=50K\n39, Private,219155, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K\n35, Private,106347, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n37, Self-emp-not-inc,68899, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2129,40, United-States, <=50K\n44, Self-emp-not-inc,163985, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,32, United-States, >50K\n28, Private,270887, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K\n17, Private,205726, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n23, Private,218899, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,60, United-States, <=50K\n35, Private,186183, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,80, United-States, >50K\n19, Private,248749, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n30, Private,197558, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,176514, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, ?,116820, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K\n27, Private,128730, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,10520,0,65, Greece, >50K\n37, Private,215503, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,45, United-States, >50K\n44, Private,226129, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,175856, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,55, United-States, >50K\n43, Private,281138, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,98061, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,260560, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n23, Private,289909, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n51, Private,59590, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K\n24, Private,236769, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,423616, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,24, United-States, >50K\n24, Private,291407, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n53, Self-emp-inc,100029, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,204494, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,56, United-States, >50K\n24, Private,201680, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,154308, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n31, Private,150324, 11th,7, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n38, Local-gov,331609, Some-college,10, Widowed, Transport-moving, Not-in-family, Black, Female,0,0,47, United-States, <=50K\n28, Private,100829, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n38, Private,203169, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,122075, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Private,178778, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,276345, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n48, Private,233511, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,289448, Assoc-voc,11, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n31, Private,173350, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n36, Private,130589, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n62, Private,94318, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,297531, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n55, Private,129762, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n21, Private,182614, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, Poland, <=50K\n60, Private,120067, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n41, Private,182370, Assoc-acdm,12, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n43, State-gov,60949, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,190511, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,188195, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,89534, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-inc,125831, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1887,55, United-States, >50K\n23, Private,183358, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K\n38, ?,75024, 7th-8th,4, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,251120, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, England, <=50K\n35, Private,108946, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,93223, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K\n61, Private,147393, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n71, ?,45801, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,70, United-States, <=50K\n35, State-gov,225385, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Federal-gov,23892, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,179668, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Scotland, <=50K\n27, Self-emp-not-inc,404998, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,68882, 1st-4th,2, Widowed, Other-service, Unmarried, White, Female,0,0,35, Portugal, <=50K\n55, Self-emp-not-inc,194065, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,357540, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2002,55, United-States, <=50K\n33, Private,185336, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n25, State-gov,152503, Some-college,10, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n52, Private,167794, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K\n46, Private,96552, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,17, United-States, <=50K\n34, Private,169527, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,4386,0,20, United-States, <=50K\n52, State-gov,254285, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,32509, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,125492, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n36, Self-emp-inc,186035, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n69, ?,168794, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,48, United-States, <=50K\n34, Private,191856, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,7298,0,40, United-States, >50K\n36, Private,215503, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K\n31, Private,187560, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,2174,0,40, United-States, <=50K\n31, Self-emp-not-inc,252752, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,2415,40, United-States, >50K\n38, Local-gov,210991, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n57, Local-gov,190748, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,35, United-States, <=50K\n24, Private,117767, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n37, Private,301070, HS-grad,9, Divorced, Farming-fishing, Unmarried, White, Male,0,0,45, United-States, <=50K\n69, Self-emp-not-inc,204645, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,9386,0,72, United-States, >50K\n39, Private,186183, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,131808, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n34, State-gov,156292, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n21, Private,124589, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,262819, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n61, Private,95500, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,241306, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n29, Private,238680, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,55, Outlying-US(Guam-USVI-etc), <=50K\n18, ?,42293, 10th,6, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n41, Local-gov,168071, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K\n42, Private,337629, 12th,8, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, ?, >50K\n52, Private,168001, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n38, Private,97759, 12th,8, Never-married, Other-service, Unmarried, White, Female,0,0,17, United-States, <=50K\n51, Self-emp-not-inc,107096, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n55, Private,76860, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n20, Private,70076, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,312017, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,174138, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,125892, Bachelors,13, Divorced, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K\n22, Private,210474, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, State-gov,157332, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n28, Private,30771, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,319768, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, France, >50K\n34, Private,209101, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,55, United-States, >50K\n25, Private,324609, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n48, Private,268234, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Local-gov,178109, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,43, United-States, <=50K\n31, Private,25955, 9th,5, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0,0,35, United-States, <=50K\n65, ?,123484, HS-grad,9, Widowed, ?, Other-relative, White, Female,0,0,25, United-States, <=50K\n56, Local-gov,129762, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n22, Self-emp-not-inc,108506, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, Amer-Indian-Eskimo, Male,0,0,75, United-States, <=50K\n27, Private,241607, Bachelors,13, Never-married, Tech-support, Other-relative, White, Male,0,0,50, United-States, <=50K\n27, Federal-gov,214385, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n30, Local-gov,183000, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n33, Private,290763, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,171924, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, >50K\n19, Private,97189, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,22, United-States, <=50K\n42, Private,195096, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K\n37, Federal-gov,329088, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n26, Private,58371, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n32, ?,256371, 12th,8, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n43, Private,35824, Some-college,10, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Private,173271, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,391349, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n24, Private,86153, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,295855, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,70, United-States, <=50K\n33, Self-emp-not-inc,327902, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,285102, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Taiwan, >50K\n57, Private,178353, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n45, Private,28119, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,7, United-States, <=50K\n42, Private,197522, Some-college,10, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n25, Private,108542, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,35, United-States, <=50K\n56, Private,179781, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,126974, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,180060, Bachelors,13, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,50, United-States, <=50K\n35, Local-gov,38948, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K\n28, Private,271572, 9th,5, Never-married, Other-service, Other-relative, White, Male,0,0,52, United-States, <=50K\n41, Private,177305, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n26, Private,238367, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,172232, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n22, Private,153805, HS-grad,9, Never-married, Other-service, Unmarried, Other, Male,0,0,20, Puerto-Rico, <=50K\n30, Private,26543, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,109067, Bachelors,13, Separated, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,213716, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n49, Private,149809, Preschool,1, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K\n27, Private,185670, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n43, Federal-gov,233851, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n68, ?,192052, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,2457,40, United-States, <=50K\n41, Private,193524, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, <=50K\n25, Private,213385, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,38238, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n68, Private,104438, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Ireland, >50K\n17, Private,202344, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n45, Self-emp-not-inc,43434, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,102147, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n30, Private,231826, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n49, State-gov,247378, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n42, Private,78765, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,45, United-States, >50K\n29, Private,184078, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n21, Local-gov,102942, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,2001,40, United-States, <=50K\n20, Private,258430, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,19, United-States, <=50K\n59, Private,244554, 11th,7, Divorced, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n26, Private,252565, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n25, Private,262778, Masters,14, Never-married, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K\n33, Private,162572, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K\n35, Private,65706, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Federal-gov,102569, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n66, Private,350498, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,28, United-States, <=50K\n67, ?,159542, 5th-6th,3, Widowed, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,142383, Assoc-acdm,12, Never-married, Sales, Not-in-family, Other, Male,0,0,36, United-States, <=50K\n38, Private,229236, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,40, Puerto-Rico, <=50K\n72, Private,56559, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,12, United-States, <=50K\n21, Private,27049, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K\n39, Private,36376, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n41, Private,194360, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K\n22, Private,246965, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,12, United-States, <=50K\n49, Self-emp-inc,191277, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n24, Private,268525, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,32, United-States, <=50K\n25, Private,456604, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,223464, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,341797, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,174461, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,392167, 10th,6, Divorced, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K\n60, Private,210064, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n67, ?,233182, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,7, United-States, <=50K\n77, Local-gov,177550, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,3818,0,14, United-States, <=50K\n62, Private,143312, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K\n22, Private,326334, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n37, Private,179088, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,207637, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K\n52, Federal-gov,37289, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K\n31, Private,36069, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n23, Federal-gov,53245, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-inc,399904, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,50, Mexico, <=50K\n38, Self-emp-inc,199346, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, <=50K\n23, Private,343019, 10th,6, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, State-gov,232742, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,390472, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,290124, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n23, Private,242912, Some-college,10, Never-married, Other-service, Own-child, White, Female,4650,0,40, United-States, <=50K\n39, Private,70240, 5th-6th,3, Married-spouse-absent, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n38, Local-gov,286405, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K\n25, Private,153841, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,137367, Bachelors,13, Never-married, Sales, Unmarried, Asian-Pac-Islander, Male,0,0,44, Philippines, <=50K\n66, Private,313255, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, <=50K\n30, Private,100734, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n32, Private,248584, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,60001, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,335065, 7th-8th,4, Never-married, Sales, Own-child, White, Male,0,0,30, Mexico, <=50K\n20, Private,219262, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n20, Private,186830, HS-grad,9, Never-married, Transport-moving, Other-relative, Black, Male,0,0,45, United-States, <=50K\n34, Private,226385, Masters,14, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,609789, Assoc-acdm,12, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n40, Private,307767, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n33, Private,217460, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n30, Private,104052, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,1741,42, United-States, <=50K\n41, Local-gov,160893, Preschool,1, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,30, United-States, <=50K\n20, Private,68358, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K\n40, Self-emp-not-inc,243636, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n44, Self-emp-not-inc,71269, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,71898, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,35, Philippines, <=50K\n38, ?,212048, Prof-school,15, Divorced, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n30, Local-gov,115040, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,25, United-States, <=50K\n45, Private,111994, Some-college,10, Divorced, Sales, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n25, Private,210794, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n22, ?,88126, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,570821, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n63, ?,146196, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n55, State-gov,169482, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,63577, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n22, Private,208946, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,26598, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,189203, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,183892, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n82, ?,194590, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K\n18, Private,188616, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n60, Private,116707, 11th,7, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,99199, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n39, Local-gov,183620, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Female,0,0,40, United-States, >50K\n34, Private,110476, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,157043, Masters,14, Divorced, Prof-specialty, Not-in-family, Black, Female,2202,0,30, ?, <=50K\n53, Private,150726, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,214695, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,60, United-States, <=50K\n37, Private,172694, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,50, United-States, <=50K\n25, Private,344804, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, Mexico, <=50K\n33, Private,319422, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, Peru, <=50K\n34, State-gov,327902, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n35, Private,438176, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,65, United-States, <=50K\n51, Private,197656, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n33, Private,219838, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,35561, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n25, ?,156848, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n56, Private,190257, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,156464, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,85, England, >50K\n36, Private,65624, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,201699, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,349910, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, >50K\n88, Self-emp-not-inc,187097, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,264314, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, Columbia, <=50K\n40, Self-emp-not-inc,282678, Masters,14, Separated, Exec-managerial, Unmarried, White, Female,0,0,20, United-States, <=50K\n21, Private,188923, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,55, United-States, <=50K\n46, Private,114797, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,36, United-States, <=50K\n56, Private,245215, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n36, Self-emp-not-inc,36270, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n67, Self-emp-not-inc,107138, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,77820, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n20, Private,39477, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,58305, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1573,40, United-States, <=50K\n23, Private,359759, HS-grad,9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n19, ?,249147, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n19, Private,44797, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,15, United-States, <=50K\n25, Private,164488, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,48413, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,261276, Some-college,10, Never-married, ?, Own-child, Black, Female,0,1602,40, Cambodia, <=50K\n31, Self-emp-not-inc,36592, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,91, United-States, <=50K\n33, Private,280923, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n33, Federal-gov,29617, Some-college,10, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n45, Self-emp-inc,208802, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,25236,0,36, United-States, >50K\n35, Private,189240, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n20, ?,37932, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,181705, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,147548, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,85, United-States, <=50K\n51, Self-emp-not-inc,306784, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K\n45, ?,260953, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n45, State-gov,190406, Prof-school,15, Divorced, Prof-specialty, Unmarried, Black, Male,25236,0,36, United-States, >50K\n24, Private,230229, 5th-6th,3, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K\n28, Private,46987, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,2174,0,36, United-States, <=50K\n63, Private,301108, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,22, United-States, <=50K\n35, Private,263081, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, United-States, >50K\n25, Self-emp-not-inc,37741, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n36, Private,115834, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,7298,0,55, United-States, >50K\n44, Private,150076, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n49, Self-emp-not-inc,148254, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Female,0,0,28, United-States, <=50K\n52, Private,183611, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,258768, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,287658, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, <=50K\n51, Private,95946, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n49, Private,31267, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,302149, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,7298,0,40, Philippines, >50K\n28, Private,250135, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,176073, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n65, Private,23580, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,163665, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Federal-gov,43953, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,144860, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K\n58, Self-emp-not-inc,61474, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n57, Private,141570, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1977,40, United-States, >50K\n40, Private,225660, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K\n42, Private,336891, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,210164, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,171080, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n42, Private,143342, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,281627, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,409922, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n65, ?,224472, Prof-school,15, Never-married, ?, Not-in-family, White, Male,25124,0,80, United-States, >50K\n29, Private,157262, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n31, Private,144949, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n71, Local-gov,303860, Masters,14, Widowed, Exec-managerial, Not-in-family, White, Male,2050,0,20, United-States, <=50K\n34, Private,104293, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,195481, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n40, Private,193995, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n67, Private,105216, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n40, Private,147206, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,173585, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,18, United-States, <=50K\n38, Private,187870, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K\n38, Private,248919, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Guatemala, <=50K\n42, Private,280410, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, Haiti, <=50K\n36, State-gov,170861, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K\n23, Self-emp-not-inc,409230, 1st-4th,2, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n56, Private,340171, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n36, Private,41017, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, >50K\n22, Private,416356, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n39, Private,261504, 12th,8, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, State-gov,205555, Prof-school,15, Divorced, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n44, Private,245317, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, >50K\n38, Private,153685, 11th,7, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,52, United-States, <=50K\n19, ?,169758, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,99374, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n57, Local-gov,139452, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, <=50K\n54, Private,227832, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Self-emp-not-inc,213024, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,30, United-States, <=50K\n22, ?,24008, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,72, United-States, <=50K\n63, Self-emp-not-inc,33487, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-inc,187934, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,20, Poland, <=50K\n26, Private,421561, 11th,7, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K\n40, Private,109969, 11th,7, Divorced, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K\n20, Private,116830, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,117166, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2635,0,40, United-States, <=50K\n28, Private,106951, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,42, United-States, <=50K\n30, Private,89625, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,5, United-States, >50K\n42, Private,194537, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,144002, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n21, Private,202214, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,109762, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Private,292570, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n67, Private,105252, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,7978,0,35, United-States, <=50K\n65, Private,94552, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Local-gov,46401, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n18, Private,151150, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,27, United-States, <=50K\n31, Private,197689, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n36, Self-emp-inc,180477, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n20, Private,181761, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,381153, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,165474, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,39, United-States, <=50K\n38, Federal-gov,190174, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n17, Private,295991, 10th,6, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n52, Without-pay,198262, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K\n34, Private,190385, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n30, ?,411560, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n49, Private,262116, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K\n45, Private,178922, 9th,5, Never-married, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K\n46, Private,192963, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,2415,35, Philippines, >50K\n34, Self-emp-inc,209538, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n21, Self-emp-not-inc,103277, 12th,8, Married-civ-spouse, Adm-clerical, Wife, White, Female,4508,0,30, Portugal, <=50K\n17, Private,216086, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n23, Private,636017, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n32, Private,155781, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,136873, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, State-gov,122066, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, >50K\n27, State-gov,346406, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,50, United-States, <=50K\n43, Private,117915, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,19914, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,50, Philippines, <=50K\n55, Private,255364, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n31, Private,703107, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n34, Private,62374, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K\n34, Private,96245, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,348796, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,136873, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K\n35, Private,388252, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Private,47783, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n62, Private,194167, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,2174,0,40, United-States, <=50K\n40, Federal-gov,544792, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,434463, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,39, United-States, <=50K\n32, Private,317219, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1590,40, United-States, <=50K\n70, Private,221603, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,34, United-States, <=50K\n23, Private,233711, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,111567, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,48, United-States, <=50K\n57, Private,79830, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,192259, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n24, Private,239663, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n41, Local-gov,34987, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n38, Self-emp-not-inc,409189, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, <=50K\n48, Private,135525, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,152159, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n18, Private,141363, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,214816, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,42907, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,48, United-States, <=50K\n30, Private,161815, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n42, Private,127314, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n48, Private,395368, Some-college,10, Divorced, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K\n70, Private,184176, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K\n37, Private,112660, 9th,5, Divorced, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n51, Private,183709, Assoc-voc,11, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,434114, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n59, Self-emp-not-inc,165315, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,43, United-States, >50K\n57, Private,190997, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,335533, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n26, Private,176146, 5th-6th,3, Separated, Craft-repair, Not-in-family, Other, Male,0,0,35, Mexico, <=50K\n19, Private,272063, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n34, Private,169564, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n56, Private,188856, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,8614,0,55, United-States, >50K\n25, Private,69847, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,198759, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,80, United-States, >50K\n22, Private,175431, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n32, Private,228357, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,40, ?, <=50K\n72, Self-emp-not-inc,284120, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,109133, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,167336, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K\n76, ?,42209, 9th,5, Widowed, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K\n37, Private,282951, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,303155, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n44, Private,261899, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, <=50K\n33, Private,168030, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298,0,21, United-States, >50K\n53, State-gov,71417, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,239130, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n69, Private,200560, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,20, United-States, <=50K\n20, Private,157541, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,27, United-States, <=50K\n33, Private,255004, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n47, Private,230136, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,60, United-States, >50K\n50, Local-gov,124963, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,35, United-States, >50K\n22, Private,39615, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n20, Private,47678, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,281315, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n23, Private,176123, HS-grad,9, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n24, ?,165350, HS-grad,9, Separated, ?, Not-in-family, Black, Male,0,0,50, Germany, <=50K\n32, Private,235862, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n41, Private,142579, Bachelors,13, Widowed, Sales, Unmarried, Black, Male,0,0,50, United-States, <=50K\n35, Private,38294, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,111483, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,189850, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K\n34, State-gov,145874, Doctorate,16, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,20, China, <=50K\n23, Private,139012, Assoc-voc,11, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n30, Local-gov,211654, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n55, Local-gov,173090, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K\n26, Private,104834, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1669,40, United-States, <=50K\n42, ?,195124, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,60, Dominican-Republic, <=50K\n39, Private,32146, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n52, Private,282674, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K\n42, Private,190403, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Male,0,0,60, Canada, <=50K\n25, Private,247025, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,3325,0,48, United-States, <=50K\n27, Private,198258, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n30, Self-emp-not-inc,172748, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n23, State-gov,287988, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K\n47, Self-emp-not-inc,122307, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K\n58, ?,175017, Bachelors,13, Divorced, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K\n18, Private,170183, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n52, Private,150812, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n24, Private,241185, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K\n58, Self-emp-inc,174864, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n35, Private,30529, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,301637, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,423222, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,60, United-States, >50K\n43, Private,214781, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K\n21, Private,242912, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,35, United-States, <=50K\n52, Private,191529, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1740,60, United-States, <=50K\n24, Private,117363, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n22, Private,333158, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,48, United-States, <=50K\n39, Private,193260, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,25, Mexico, <=50K\n34, State-gov,278378, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n58, Private,111394, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,102476, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K\n29, Private,26451, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n67, ?,209137, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,210945, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,35, Haiti, <=50K\n62, Local-gov,115023, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,53833, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,150057, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K\n18, Private,128086, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,18, United-States, <=50K\n25, Private,28473, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,155509, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n56, Private,165315, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, ?, <=50K\n30, Private,171889, Prof-school,15, Never-married, Tech-support, Own-child, White, Female,0,0,24, United-States, <=50K\n41, Local-gov,185057, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n59, Private,277034, HS-grad,9, Divorced, Tech-support, Unmarried, White, Male,0,0,60, United-States, >50K\n36, Private,166606, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,97453, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,54, United-States, <=50K\n27, Private,136094, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n19, ?,61855, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,30, United-States, <=50K\n30, Private,182771, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,15, China, <=50K\n47, Private,418961, Assoc-voc,11, Divorced, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K\n39, Private,106961, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,81846, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n44, Private,105936, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,36425, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,595088, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,63, United-States, <=50K\n38, Private,149018, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,229613, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,33521, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,70539, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,4386,0,50, United-States, <=50K\n53, State-gov,105728, HS-grad,9, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0,0,28, United-States, >50K\n31, Private,193215, Some-college,10, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0,0,50, United-States, <=50K\n18, Private,137363, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-inc,104892, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n30, Private,149427, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n19, State-gov,176634, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,183279, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,225775, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,202091, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,60, United-States, <=50K\n36, Private,123151, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n22, Private,168187, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K\n42, Federal-gov,33521, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n33, State-gov,243678, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,164898, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, ?,262280, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,3781,0,40, United-States, <=50K\n33, State-gov,290614, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,199265, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n30, Private,207668, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n18, State-gov,30687, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K\n24, State-gov,27939, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,24, ?, <=50K\n17, Private,438996, 10th,6, Never-married, Other-service, Other-relative, White, Male,0,0,40, Mexico, <=50K\n48, Private,152915, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, ?,186030, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K\n46, Local-gov,297759, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Private,171242, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K\n28, Private,206088, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,182792, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,167725, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, <=50K\n43, Private,160674, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,194710, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,255027, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,204641, 10th,6, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,50, United-States, <=50K\n20, State-gov,177787, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n29, Private,54932, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,35, United-States, >50K\n54, Self-emp-not-inc,91506, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K\n34, Private,198634, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,227146, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n59, Private,135647, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n40, Private,55508, 7th-8th,4, Divorced, Farming-fishing, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,174912, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,175925, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,157486, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n49, Local-gov,329144, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,44, United-States, >50K\n67, ?,81761, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K\n49, Self-emp-not-inc,102318, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K\n30, Federal-gov,266463, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n56, Federal-gov,107314, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n29, Private,114158, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,124052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,144301, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,42, United-States, <=50K\n28, Private,176683, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,70, United-States, >50K\n23, Private,234663, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,178948, HS-grad,9, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,50, United-States, <=50K\n37, Self-emp-not-inc,607848, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,202937, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n32, Federal-gov,83413, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, >50K\n26, Private,212798, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n57, Federal-gov,192258, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,112497, 9th,5, Married-civ-spouse, Sales, Own-child, White, Male,0,0,50, United-States, >50K\n30, Private,97521, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,160972, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n21, Private,322931, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n22, Private,403519, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,330174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,278155, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,39054, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n57, Private,170287, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,336643, Assoc-voc,11, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,264166, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,45, Columbia, <=50K\n44, Local-gov,433705, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, >50K\n28, Private,27044, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K\n42, Private,165599, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,159759, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,385092, Some-college,10, Divorced, Prof-specialty, Own-child, White, Female,0,0,36, United-States, <=50K\n42, Private,188808, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Male,0,0,30, United-States, <=50K\n30, Private,167476, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n21, State-gov,194096, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n59, Private,182460, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, >50K\n21, ?,102323, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n56, Private,232139, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,341741, Preschool,1, Never-married, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K\n21, Private,206008, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,50, United-States, <=50K\n48, Private,344415, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,37, United-States, >50K\n35, State-gov,372130, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K\n43, Private,27766, Bachelors,13, Separated, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, >50K\n23, Private,140764, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n17, ?,161259, 10th,6, Never-married, ?, Other-relative, White, Male,0,0,12, United-States, <=50K\n41, Private,22201, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, >50K\n35, Self-emp-inc,187046, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n22, Private,137591, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n53, Private,274276, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,341757, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,218542, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n44, Local-gov,190020, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,221436, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Cuba, >50K\n39, Self-emp-not-inc,52187, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,158776, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,51543, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K\n17, Private,146329, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,23, United-States, <=50K\n31, Private,397467, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,105592, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,12, United-States, <=50K\n39, Private,78171, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n46, State-gov,55377, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n31, Private,258932, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,80, Italy, <=50K\n27, Private,38606, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1504,45, United-States, <=50K\n18, Private,219841, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n46, Private,156926, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n55, Private,160362, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,192161, Bachelors,13, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,43, United-States, <=50K\n53, Private,208570, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,26, United-States, <=50K\n44, Self-emp-not-inc,182771, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,48, South, >50K\n43, Private,151089, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n50, Private,163002, HS-grad,9, Separated, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n56, Private,155657, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,20, Yugoslavia, <=50K\n27, Private,217530, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n20, Private,244406, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n18, Local-gov,152182, 10th,6, Never-married, Protective-serv, Own-child, White, Female,0,0,6, United-States, <=50K\n34, Private,55717, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,50, United-States, >50K\n38, Private,201454, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Self-emp-inc,144371, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, United-States, <=50K\n55, Private,277034, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,462832, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, Black, Female,0,0,40, United-States, >50K\n26, Private,200681, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n54, State-gov,119565, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Puerto-Rico, >50K\n22, Private,192017, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Local-gov,84808, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,100154, 10th,6, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,169383, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n19, Without-pay,43887, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K\n45, Private,54260, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,99, United-States, <=50K\n53, Self-emp-not-inc,159876, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,3103,0,72, United-States, <=50K\n46, Private,160474, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,1590,43, United-States, <=50K\n25, Private,476334, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n90, Private,52386, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n33, Private,83671, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n45, Private,172960, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,70, United-States, <=50K\n47, Private,191957, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K\n38, Local-gov,40955, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K\n35, ?,98080, Prof-school,15, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,4787,0,45, Japan, >50K\n37, Private,175643, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n53, State-gov,197184, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n56, Private,187295, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,40822, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n44, Private,228729, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, ?, <=50K\n50, Private,240496, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,36, United-States, <=50K\n26, Private,51961, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,20, United-States, <=50K\n36, Private,174887, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,95855, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,362259, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,30916, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n62, Private,153148, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,84, United-States, <=50K\n46, Private,167915, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,45156, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,2174,0,41, United-States, <=50K\n37, Private,98776, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,15, United-States, <=50K\n27, Private,209801, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, ?, <=50K\n38, Private,183800, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,54595, 12th,8, Never-married, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n34, Private,79637, Bachelors,13, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n50, Private,126566, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Private,233796, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298,0,32, United-States, >50K\n67, Local-gov,191800, Bachelors,13, Divorced, Adm-clerical, Unmarried, Black, Female,6360,0,35, United-States, <=50K\n34, Self-emp-not-inc,527162, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K\n19, Private,139466, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n23, Private,64520, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n50, Private,97741, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n45, Local-gov,160173, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n17, Private,350995, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n59, ?,182836, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K\n25, Private,143267, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,48, United-States, <=50K\n21, Private,346341, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,172175, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,153035, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n63, Private,200127, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Local-gov,204470, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K\n45, Private,353012, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,194342, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,57898, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,164707, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, ?, <=50K\n42, Private,269028, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, France, <=50K\n56, Private,83922, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,160647, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Female,0,0,46, United-States, <=50K\n69, Private,125437, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K\n42, Private,246011, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,55, United-States, <=50K\n19, Private,216937, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Other, Female,0,0,60, Guatemala, <=50K\n56, Self-emp-not-inc,66356, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,154981, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,50, United-States, >50K\n61, Federal-gov,197311, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,301743, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n50, Self-emp-not-inc,401118, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,50, United-States, >50K\n39, Private,98776, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n35, Self-emp-not-inc,32528, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,177119, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,44, United-States, <=50K\n40, Self-emp-inc,193524, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n59, State-gov,192258, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, ?,145917, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K\n42, Federal-gov,214838, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, United-States, >50K\n59, Private,176011, Some-college,10, Separated, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-inc,147239, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n38, Private,159179, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n53, Private,155963, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n20, Private,360457, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,30, United-States, <=50K\n54, Federal-gov,114674, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-not-inc,95708, Masters,14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,45, United-States, >50K\n33, Local-gov,100734, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,55, United-States, <=50K\n35, Private,188972, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K\n22, Private,162667, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, Portugal, <=50K\n45, Self-emp-not-inc,28497, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1485,70, United-States, >50K\n29, Private,180758, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,346635, Masters,14, Divorced, Sales, Unmarried, White, Female,0,2339,60, United-States, <=50K\n23, Private,46645, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K\n30, Private,203258, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n17, Private,134480, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,25, United-States, <=50K\n35, Local-gov,85548, Some-college,10, Separated, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n25, Private,195994, 1st-4th,2, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, Guatemala, <=50K\n42, State-gov,148316, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,227466, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K\n19, Private,68552, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n32, Private,252257, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n44, Private,30126, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n53, Private,304353, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, >50K\n47, Self-emp-not-inc,171968, Bachelors,13, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,60, Thailand, <=50K\n24, Private,205839, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n30, State-gov,218640, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, >50K\n42, Private,150568, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K\n19, Private,382738, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,138940, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,37, United-States, <=50K\n26, Self-emp-not-inc,258306, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K\n25, Local-gov,190107, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,1719,16, United-States, <=50K\n52, Private,152373, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,141875, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,79586, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999,0,40, ?, >50K\n32, Private,157289, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n37, Private,184498, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,109684, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1741,35, United-States, <=50K\n47, Private,199832, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,23545, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,175710, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n27, Private,52028, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,40, South, <=50K\n61, Self-emp-not-inc,315977, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n47, Private,202322, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n30, Private,251825, Assoc-acdm,12, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n54, Private,202115, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K\n56, Local-gov,216824, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n69, Private,145656, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,24, United-States, <=50K\n30, Private,137076, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,152621, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, >50K\n42, Self-emp-not-inc,27242, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n45, Federal-gov,358242, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n39, Private,184117, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,20, United-States, >50K\n26, Private,300290, 11th,7, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Local-gov,149991, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,42, United-States, >50K\n31, Private,189759, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,339482, 5th-6th,3, Separated, Farming-fishing, Other-relative, White, Male,0,0,60, Mexico, <=50K\n51, Private,100933, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K\n29, Private,354558, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n38, Local-gov,162613, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,2258,60, United-States, <=50K\n64, Private,285052, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,10, United-States, <=50K\n26, State-gov,175044, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n68, Private,45508, 5th-6th,3, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,22, United-States, <=50K\n32, Private,173351, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n29, Private,173611, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n51, ?,182543, 1st-4th,2, Separated, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K\n21, Private,143062, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n26, ?,137951, 10th,6, Separated, ?, Other-relative, White, Female,0,0,40, Puerto-Rico, <=50K\n33, Local-gov,293063, Bachelors,13, Married-spouse-absent, Prof-specialty, Other-relative, Black, Male,0,0,40, ?, <=50K\n26, Private,377754, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Private,152373, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2105,0,40, United-States, <=50K\n31, Private,193477, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n29, Local-gov,277323, HS-grad,9, Never-married, Protective-serv, Unmarried, White, Male,0,0,45, United-States, <=50K\n19, Private,69182, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,27, United-States, <=50K\n51, Private,219599, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n45, Private,129371, 9th,5, Separated, Other-service, Unmarried, Other, Female,0,0,40, Trinadad&Tobago, <=50K\n20, Private,470875, HS-grad,9, Married-civ-spouse, Sales, Own-child, Black, Male,0,0,32, United-States, <=50K\n40, Private,201734, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K\n43, Private,58447, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,55, United-States, >50K\n52, Local-gov,91689, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,166546, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,24, United-States, <=50K\n24, Private,293324, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,219262, 9th,5, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n38, Self-emp-not-inc,403391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n44, Private,367749, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Mexico, <=50K\n24, Private,128487, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, State-gov,111363, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,75, United-States, >50K\n49, Private,240869, 7th-8th,4, Never-married, Other-service, Other-relative, White, Male,0,0,35, United-States, <=50K\n36, Private,163278, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,416415, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n46, ?,280030, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Mexico, <=50K\n46, Private,251243, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Local-gov,167159, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,70, United-States, >50K\n29, Private,161857, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, Other, Female,0,0,40, Columbia, <=50K\n37, Private,160035, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, ?,190205, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n28, ?,161290, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,112403, Bachelors,13, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Private,238726, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Private,164530, 11th,7, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n19, Private,456572, HS-grad,9, Never-married, Farming-fishing, Other-relative, White, Male,0,0,35, United-States, <=50K\n31, Self-emp-not-inc,177675, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,246739, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, United-States, >50K\n37, Private,102953, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, ?,224238, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,2, United-States, <=50K\n46, Private,155489, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K\n51, Self-emp-not-inc,156802, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,3103,0,60, United-States, >50K\n50, Private,168212, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,45, United-States, >50K\n38, Private,331395, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,3942,0,84, Portugal, <=50K\n40, Local-gov,261497, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,35, United-States, <=50K\n58, Private,365511, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Other, Male,0,0,40, Mexico, <=50K\n36, Private,187999, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Local-gov,190350, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,35, United-States, <=50K\n17, ?,166759, 12th,8, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n49, Private,168262, 10th,6, Divorced, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K\n39, State-gov,122011, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,5178,0,38, United-States, >50K\n46, Private,165953, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n26, Private,375980, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,37, United-States, <=50K\n40, Federal-gov,406463, Masters,14, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, State-gov,231472, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n60, Self-emp-not-inc,78913, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n28, Private,69107, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n22, ?,182387, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,12, Thailand, <=50K\n31, Private,169002, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,55, United-States, <=50K\n45, Private,229967, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,13550,0,50, United-States, >50K\n34, Private,422836, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, Mexico, <=50K\n27, State-gov,230922, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, Scotland, <=50K\n40, Private,195892, Some-college,10, Divorced, Transport-moving, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n68, Private,163346, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,32, United-States, <=50K\n51, Private,82566, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n55, Private,86505, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, <=50K\n43, Private,178780, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n23, State-gov,173945, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,27, United-States, <=50K\n48, Private,176810, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-inc,23813, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,2885,0,30, United-States, <=50K\n51, Self-emp-inc,210736, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,10520,0,40, United-States, >50K\n32, Private,343789, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013,0,55, United-States, <=50K\n34, Private,113838, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n31, Local-gov,121055, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, >50K\n71, ?,52171, 7th-8th,4, Divorced, ?, Unmarried, White, Male,0,0,45, United-States, <=50K\n17, Private,566049, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K\n37, Private,67433, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n26, Private,39014, 12th,8, Married-civ-spouse, Priv-house-serv, Wife, Other, Female,0,0,40, Dominican-Republic, <=50K\n17, Private,51939, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n34, Private,100669, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n46, Private,155659, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n33, Private,112847, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n41, Local-gov,32185, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n59, Private,138370, 10th,6, Married-spouse-absent, Protective-serv, Not-in-family, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n50, Self-emp-not-inc,172281, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n46, Private,180505, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n45, Private,168262, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,85126, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,113838, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,197457, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,1471,0,38, United-States, <=50K\n28, Private,197905, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,316589, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,336367, Assoc-acdm,12, Never-married, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K\n39, Self-emp-inc,143123, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2415,40, United-States, >50K\n23, Private,209955, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,210013, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,224541, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,275653, 7th-8th,4, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,2977,0,40, Puerto-Rico, <=50K\n45, Private,88061, 11th,7, Married-spouse-absent, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0,0,40, South, <=50K\n43, Federal-gov,195897, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298,0,40, United-States, >50K\n49, Private,43206, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, >50K\n37, Private,202950, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,154093, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n34, Private,112115, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,55, United-States, >50K\n51, Private,355954, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n24, Private,379418, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n67, Self-emp-not-inc,286372, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,48087, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,45, United-States, >50K\n32, Private,387270, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n21, Private,270043, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n39, Self-emp-not-inc,65738, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, >50K\n33, Private,159888, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,278039, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n21, Private,265434, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K\n68, Self-emp-inc,52052, Assoc-voc,11, Widowed, Sales, Not-in-family, White, Female,25124,0,50, United-States, >50K\n24, Private,208882, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n24, Private,229393, 11th,7, Never-married, Farming-fishing, Unmarried, White, Male,2463,0,40, United-States, <=50K\n23, Private,53513, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,45, United-States, <=50K\n40, Private,225193, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,63, United-States, <=50K\n48, Private,166809, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n42, Self-emp-not-inc,175674, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n45, Federal-gov,368947, Bachelors,13, Never-married, Protective-serv, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n31, Private,194901, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n53, Private,203173, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,267431, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,55, United-States, <=50K\n32, Private,111836, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,50, United-States, <=50K\n34, Private,198613, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, ?, <=50K\n41, Self-emp-inc,149102, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n57, Local-gov,121111, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,130397, 10th,6, Never-married, Farming-fishing, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n40, Private,212847, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2179,40, United-States, <=50K\n17, Private,184198, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,13, United-States, <=50K\n17, Private,121287, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n82, Self-emp-inc,120408, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K\n40, Private,164678, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n26, Private,388812, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n37, Private,294919, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,101684, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n65, Private,36209, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,22, United-States, >50K\n39, Private,123983, Bachelors,13, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n36, Self-emp-not-inc,340001, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,203828, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n23, Private,183789, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,305619, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n63, Self-emp-not-inc,174181, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K\n59, Private,131869, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n49, Self-emp-not-inc,43479, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, ?,203126, 9th,5, Never-married, ?, Unmarried, White, Female,0,0,40, Dominican-Republic, <=50K\n17, Private,118792, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,9, United-States, <=50K\n28, Private,272913, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, Mexico, <=50K\n45, Federal-gov,222011, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-inc,301007, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n45, Private,197731, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,173736, 9th,5, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n19, ?,182590, 10th,6, Never-married, ?, Not-in-family, White, Female,0,0,38, United-States, <=50K\n59, Local-gov,93211, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,22, United-States, >50K\n41, Private,24763, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,7443,0,40, United-States, <=50K\n49, Local-gov,219021, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,48, United-States, >50K\n37, Private,137229, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, >50K\n31, Self-emp-not-inc,281030, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n21, Private,234108, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,46868, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,15, United-States, <=50K\n20, ?,162667, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,40, El-Salvador, <=50K\n51, Private,173291, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,305160, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n48, Private,212954, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n39, Local-gov,112284, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,164198, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,15024,0,45, United-States, >50K\n41, Private,152958, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,145389, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K\n54, Self-emp-inc,119570, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n40, Private,272343, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n44, Private,187720, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, <=50K\n50, Private,145409, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n42, Private,208726, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n34, Private,203488, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,330416, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,25803, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,171150, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,82576, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,14084,0,36, United-States, >50K\n30, Private,329425, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,185452, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,201179, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,182268, Preschool,1, Married-spouse-absent, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,95763, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n48, Private,125892, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Poland, <=50K\n21, Private,121407, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,36, United-States, <=50K\n52, Private,373367, 11th,7, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Local-gov,165982, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n45, Private,165484, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n30, Private,156890, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n31, Private,156763, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,2829,0,40, United-States, <=50K\n43, Private,244172, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, ?, <=50K\n36, Private,219814, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Guatemala, <=50K\n42, Private,171841, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n28, Local-gov,168524, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,35, United-States, >50K\n62, Private,205643, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n65, ?,174904, HS-grad,9, Separated, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,102559, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, >50K\n47, Private,60267, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K\n43, Private,388725, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,215712, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n44, Private,171722, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,39, United-States, <=50K\n25, Private,193051, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,25, United-States, <=50K\n21, Private,305446, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,146949, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, <=50K\n21, Private,322144, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-inc,75742, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, El-Salvador, >50K\n64, ?,380687, Bachelors,13, Married-civ-spouse, ?, Wife, Black, Female,0,0,8, United-States, <=50K\n55, Self-emp-not-inc,95149, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, <=50K\n42, Private,68469, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n63, Self-emp-not-inc,27653, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n21, Private,410439, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,24, United-States, <=50K\n28, Private,37821, Assoc-voc,11, Never-married, Sales, Unmarried, White, Female,0,0,55, ?, <=50K\n45, Private,228570, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,35, United-States, <=50K\n21, Private,141453, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,88215, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, China, >50K\n53, Private,48641, 12th,8, Never-married, Other-service, Not-in-family, Other, Female,0,0,35, United-States, <=50K\n45, Private,185385, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,341471, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,4, United-States, <=50K\n41, Private,163322, 11th,7, Divorced, Exec-managerial, Unmarried, White, Female,0,0,36, United-States, <=50K\n35, Private,99357, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1977,30, United-States, >50K\n43, Self-emp-inc,602513, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n53, Local-gov,287192, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, Mexico, <=50K\n34, Private,215047, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n46, Federal-gov,97863, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,40, United-States, >50K\n59, Private,308118, Assoc-acdm,12, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n53, Private,137192, Bachelors,13, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0,0,50, United-States, <=50K\n33, Private,275369, 7th-8th,4, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,35, Haiti, <=50K\n45, Private,99971, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n48, Self-emp-inc,103713, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,253770, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Private,162205, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,72, United-States, >50K\n46, Self-emp-not-inc,31267, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,198146, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K\n23, Private,178207, Some-college,10, Never-married, Handlers-cleaners, Unmarried, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K\n21, Private,317175, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n53, Federal-gov,221791, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n61, Self-emp-inc,187124, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, >50K\n58, State-gov,280519, HS-grad,9, Divorced, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n36, Private,207568, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n45, Local-gov,192684, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K\n39, Private,103260, Bachelors,13, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,30, United-States, >50K\n39, Private,191227, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,13550,0,50, United-States, >50K\n48, Self-emp-inc,382242, Doctorate,16, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n41, Private,106900, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, <=50K\n30, Private,48520, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2002,40, United-States, <=50K\n50, Private,55527, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,45, United-States, <=50K\n51, Self-emp-not-inc,246820, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,48, United-States, >50K\n23, Private,33884, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,29762, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n47, Federal-gov,168109, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,70, United-States, <=50K\n51, Private,207449, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n60, Self-emp-inc,189098, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,194259, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Local-gov,194630, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Local-gov,179681, HS-grad,9, Never-married, Transport-moving, Own-child, White, Female,0,0,37, United-States, <=50K\n42, State-gov,136996, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,48, United-States, <=50K\n32, Private,143604, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,16, United-States, <=50K\n19, Private,243373, 12th,8, Never-married, Sales, Other-relative, White, Male,1055,0,40, United-States, <=50K\n34, Private,261799, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,45, United-States, >50K\n48, Private,143281, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,48, United-States, <=50K\n38, Private,185556, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K\n38, Private,111499, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n40, Self-emp-not-inc,280433, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,37314, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n38, Private,103408, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, ?, <=50K\n26, Private,270151, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, State-gov,96748, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K\n20, Private,164775, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Guatemala, <=50K\n49, Private,190319, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, Philippines, <=50K\n23, Private,213115, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n47, Private,156926, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, Canada, >50K\n43, Private,112967, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,35373, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n60, Self-emp-not-inc,220342, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n29, Private,163167, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,404951, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n39, Private,122032, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,143582, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, Other, Female,4101,0,35, United-States, <=50K\n38, Private,108140, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,2202,0,45, United-States, <=50K\n47, Private,251508, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,36, United-States, <=50K\n50, Self-emp-not-inc,197054, Prof-school,15, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n64, Self-emp-not-inc,36960, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,165930, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, ?,178960, 11th,7, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,214503, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K\n51, Private,110458, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,202125, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Self-emp-not-inc,284329, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n29, Private,192924, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,340917, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,2829,0,50, ?, <=50K\n37, Private,340614, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n20, Private,196678, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n18, Private,266489, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n57, Private,61474, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, United-States, >50K\n47, ?,99127, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,215955, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,2829,0,40, United-States, <=50K\n23, Self-emp-inc,215395, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n36, Self-emp-inc,183898, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n48, Private,97176, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n40, Private,145160, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K\n51, Private,357949, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,16, United-States, <=50K\n59, Private,177120, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,288229, Some-college,10, Married-civ-spouse, Sales, Other-relative, Asian-Pac-Islander, Female,0,0,40, Greece, <=50K\n39, Private,509060, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,47932, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,103925, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n44, State-gov,183829, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n51, Private,138852, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,188186, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,20, Hungary, <=50K\n22, Private,34616, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n19, Private,220819, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Federal-gov,281540, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K\n53, Private,47396, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,141350, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n19, Private,331433, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,32, United-States, <=50K\n40, Federal-gov,346532, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n21, Private,241367, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K\n39, Private,216256, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Italy, >50K\n40, Local-gov,153031, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,35, United-States, >50K\n36, Private,116138, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K\n18, Private,193166, 9th,5, Never-married, Sales, Own-child, White, Female,0,0,42, United-States, <=50K\n32, Self-emp-inc,275094, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,55, Mexico, >50K\n50, Private,81548, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,167979, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n19, Private,67759, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,43, United-States, <=50K\n53, Private,200190, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n49, Private,403112, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K\n40, Private,214891, Bachelors,13, Married-spouse-absent, Transport-moving, Own-child, Other, Male,0,0,45, ?, <=50K\n31, Private,142675, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,88500, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n35, Local-gov,145308, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n47, Local-gov,204377, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n43, Self-emp-not-inc,260696, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n51, Private,231181, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,21, United-States, <=50K\n54, Private,260052, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n76, Local-gov,178665, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n33, Private,226267, 7th-8th,4, Never-married, Sales, Not-in-family, White, Male,0,0,43, Mexico, <=50K\n19, Private,111232, 12th,8, Never-married, Transport-moving, Own-child, White, Male,0,0,15, United-States, <=50K\n49, Private,87928, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n26, Private,212748, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,110677, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n49, Private,139268, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n24, Private,306779, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K\n48, Private,318331, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n36, State-gov,143385, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,288273, 12th,8, Separated, Adm-clerical, Unmarried, White, Female,1471,0,40, United-States, <=50K\n31, Private,167725, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024,0,48, Philippines, >50K\n53, Private,94081, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K\n22, Private,194723, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n43, Private,163985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,189759, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Italy, <=50K\n53, State-gov,195922, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Federal-gov,54159, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n47, Local-gov,166863, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,104501, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Germany, >50K\n39, Private,210626, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,448026, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Local-gov,170916, 10th,6, Never-married, Protective-serv, Own-child, White, Female,0,1602,40, United-States, <=50K\n53, Local-gov,283602, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,40, United-States, >50K\n21, Private,189749, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,90934, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,64, Philippines, >50K\n34, State-gov,253121, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,181776, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, Private,162397, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,70708, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K\n47, State-gov,103406, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,224658, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n26, Local-gov,213451, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,10, Jamaica, <=50K\n53, Private,139671, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,36201, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n39, Private,237713, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,2415,99, United-States, >50K\n17, Local-gov,173497, 11th,7, Never-married, Prof-specialty, Own-child, Black, Male,0,0,15, United-States, <=50K\n46, Private,375606, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n34, Private,203488, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n45, Self-emp-not-inc,107231, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, France, <=50K\n23, Private,216811, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K\n41, Private,288679, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,105516, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,282972, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,4, United-States, <=50K\n18, Self-emp-inc,117372, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n38, Private,112497, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n66, ?,186032, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,2964,0,30, United-States, <=50K\n28, Private,192384, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,43348, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n29, Private,181822, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,216070, Masters,14, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female,0,0,50, United-States, >50K\n34, State-gov,112062, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,218551, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,404616, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,169460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,240081, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K\n22, Private,147655, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,90277, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, ?, <=50K\n49, Private,60751, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,194636, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,50, United-States, <=50K\n37, Self-emp-not-inc,154641, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,2105,0,50, United-States, <=50K\n39, Private,491000, Bachelors,13, Never-married, Exec-managerial, Other-relative, Black, Male,0,0,45, United-States, <=50K\n33, Private,399088, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,186909, Masters,14, Married-civ-spouse, Sales, Wife, White, Female,0,1902,35, United-States, >50K\n65, Private,105491, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K\n40, Private,34987, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,53, United-States, <=50K\n26, ?,167835, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K\n31, Private,288983, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,266070, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n71, Private,110380, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,2467,52, United-States, <=50K\n25, Local-gov,31873, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,294400, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n19, ?,184308, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,30, United-States, <=50K\n36, Self-emp-not-inc,175769, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n56, Private,182273, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,106541, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,138192, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,196791, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K\n22, Private,223019, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n44, Private,109273, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K\n60, Self-emp-not-inc,95490, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n65, Private,149131, 11th,7, Divorced, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n44, Private,219155, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, England, >50K\n53, Local-gov,82783, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,214858, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,170230, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n40, Self-emp-inc,209344, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,15, ?, <=50K\n35, Private,90406, 11th,7, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-inc,299813, 9th,5, Married-civ-spouse, Sales, Wife, White, Female,0,0,70, Dominican-Republic, <=50K\n28, Private,188064, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Canada, <=50K\n53, Private,246117, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n26, Private,132749, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,45, United-States, <=50K\n28, Local-gov,201099, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Female,0,0,40, United-States, <=50K\n27, Private,97490, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,221252, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,8, United-States, <=50K\n26, Private,116991, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,161691, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n34, Private,107793, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, >50K\n50, Self-emp-inc,194514, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, Trinadad&Tobago, <=50K\n30, Private,278502, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,62, United-States, <=50K\n47, Private,343742, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n27, ?,204074, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, Federal-gov,31965, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,143604, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,29, ?, <=50K\n35, Private,174308, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,162551, 12th,8, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,50, ?, <=50K\n39, Self-emp-inc,372525, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n30, Private,75167, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n39, Private,176296, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,1887,40, United-States, >50K\n19, Private,93518, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n25, ?,126797, HS-grad,9, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,25124, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K\n21, Private,112137, Some-college,10, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,20, South, <=50K\n30, ?,58798, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,44, United-States, <=50K\n25, Self-emp-not-inc,21472, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,22, United-States, <=50K\n32, Private,90969, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n26, Private,149734, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Female,0,1594,40, United-States, <=50K\n42, Private,52849, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,106347, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,47, United-States, <=50K\n48, Private,199735, Bachelors,13, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,44, Germany, <=50K\n24, Private,488541, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K\n46, Private,403911, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n53, Private,172991, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K\n36, Federal-gov,210945, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,70, United-States, <=50K\n34, Private,157446, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,45, United-States, <=50K\n25, Private,109390, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,70, United-States, <=50K\n33, Private,134886, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,99999,0,30, United-States, >50K\n45, Private,144579, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n31, Federal-gov,203488, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,202871, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K\n33, Private,175412, 9th,5, Divorced, Craft-repair, Unmarried, White, Male,114,0,55, United-States, <=50K\n44, Private,336906, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,177596, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, Puerto-Rico, >50K\n30, Private,79448, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,10, United-States, <=50K\n32, Local-gov,191731, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, ?,233014, HS-grad,9, Divorced, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n29, Private,133937, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,219211, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n35, State-gov,94529, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,247547, HS-grad,9, Separated, Prof-specialty, Other-relative, Black, Female,0,0,40, United-States, <=50K\n29, Private,29361, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n21, Private,166851, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n43, Federal-gov,197069, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Philippines, >50K\n33, Private,153588, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n61, Federal-gov,151369, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n42, Private,174112, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,520033, 12th,8, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n35, State-gov,194828, Some-college,10, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n32, ?,216908, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K\n22, Private,126613, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n61, Private,26254, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,54042, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,2463,0,35, United-States, <=50K\n24, Private,67804, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n58, Local-gov,53481, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n42, Private,412379, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,220187, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n26, ?,256141, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,268222, HS-grad,9, Separated, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K\n59, Private,99131, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n65, Self-emp-not-inc,115498, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,3818,0,10, United-States, <=50K\n57, Private,317847, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,2824,50, United-States, >50K\n36, Private,98389, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K\n42, Private,173704, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1887,50, United-States, >50K\n18, ?,211177, 12th,8, Never-married, ?, Other-relative, Black, Male,0,0,20, United-States, <=50K\n18, Private,115443, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,65078, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,24896, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K\n19, Private,184710, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,30, United-States, <=50K\n28, Private,410450, Bachelors,13, Divorced, Other-service, Unmarried, White, Female,0,0,48, England, >50K\n37, Private,83893, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,113309, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Private,160625, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,47, United-States, <=50K\n17, Local-gov,340043, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K\n37, Local-gov,48976, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,4865,0,45, United-States, <=50K\n29, State-gov,243875, Assoc-voc,11, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,554206, HS-grad,9, Separated, Transport-moving, Not-in-family, Black, Male,0,0,20, United-States, <=50K\n36, Private,361888, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, >50K\n37, Self-emp-not-inc,205359, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,15, United-States, <=50K\n47, State-gov,167281, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,35663, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, Private,357437, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,390856, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, Mexico, <=50K\n33, Federal-gov,331615, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,40, United-States, >50K\n54, Private,202415, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,180032, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1669,40, United-States, <=50K\n40, Private,77247, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n40, Local-gov,101795, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,42, United-States, <=50K\n35, Private,272019, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2057,40, United-States, <=50K\n32, Private,198068, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,199326, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n31, Private,178841, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Private,136951, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n26, Self-emp-inc,109240, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n35, Self-emp-not-inc,128876, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,103358, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, India, <=50K\n43, Private,354408, 12th,8, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n32, Private,206051, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,35, United-States, <=50K\n45, Private,155659, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n48, Private,143299, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n31, Private,252210, 5th-6th,3, Never-married, Other-service, Own-child, White, Male,0,0,40, Mexico, <=50K\n20, ?,129240, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n28, Private,398918, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,240612, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n22, Private,429346, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,40, United-States, <=50K\n19, Private,123718, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n38, Private,455379, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,63, United-States, >50K\n23, Private,376416, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Self-emp-inc,234663, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,282142, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n45, State-gov,208049, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n88, Private,68539, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,126501, 11th,7, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,15, South, <=50K\n24, Private,186452, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n84, ?,127184, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n48, Private,165267, 10th,6, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K\n46, Private,124733, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n31, Self-emp-inc,149726, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n58, Private,41374, HS-grad,9, Widowed, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n35, Local-gov,329759, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,212433, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n36, Private,185099, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n47, Local-gov,126754, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,122497, 9th,5, Widowed, Other-service, Unmarried, Black, Male,0,0,52, ?, <=50K\n30, Private,118056, Some-college,10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n30, Local-gov,200892, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,200790, 12th,8, Married-civ-spouse, ?, Other-relative, White, Female,15024,0,40, United-States, >50K\n30, Self-emp-inc,84119, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,43, United-States, <=50K\n23, Local-gov,197918, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, >50K\n41, Self-emp-not-inc,150533, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,443742, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n27, Private,104423, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Private,169133, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n21, Private,185551, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,36, United-States, <=50K\n60, Private,174486, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n69, State-gov,50468, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,34, United-States, >50K\n24, Private,196943, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,120691, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,25, United-States, <=50K\n60, State-gov,198815, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, Mexico, <=50K\n64, Private,22186, Some-college,10, Widowed, Tech-support, Not-in-family, White, Female,0,0,35, United-States, <=50K\n39, Self-emp-inc,188069, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n51, Private,233149, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n51, Private,138358, 10th,6, Divorced, Craft-repair, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n25, Private,338013, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, ?,332666, 10th,6, Never-married, ?, Own-child, White, Female,0,0,4, United-States, <=50K\n37, Private,166339, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n74, Self-emp-not-inc,392886, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Female,0,0,14, United-States, <=50K\n26, State-gov,141838, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n23, Private,520759, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n57, Self-emp-inc,37345, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K\n20, Private,387779, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,15, United-States, <=50K\n37, Private,201531, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,123598, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,380614, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K\n40, Private,83859, HS-grad,9, Widowed, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K\n50, State-gov,24790, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,266820, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,35, Mexico, <=50K\n44, Private,85440, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n41, Private,421837, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,404062, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,15, United-States, >50K\n38, Private,224566, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n54, Private,294991, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n40, Federal-gov,189610, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,52, United-States, <=50K\n37, Private,219141, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,7688,0,40, United-States, >50K\n46, Federal-gov,20956, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n38, Private,70995, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n20, Private,215232, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,10, United-States, <=50K\n71, ?,178295, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,3, United-States, <=50K\n35, Private,56201, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n62, Private,98076, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,351810, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Cuba, <=50K\n56, Self-emp-not-inc,144351, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,90, United-States, <=50K\n30, State-gov,137613, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,20, Taiwan, <=50K\n17, Private,54257, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n18, Self-emp-not-inc,230373, 11th,7, Never-married, Other-service, Own-child, White, Female,594,0,4, United-States, <=50K\n35, Private,98389, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,184135, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,1, United-States, <=50K\n46, Self-emp-not-inc,140121, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n33, Self-emp-not-inc,24504, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n27, Private,129528, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,415578, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,97142, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,201328, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,256620, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Federal-gov,96854, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n44, State-gov,141858, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,75, United-States, >50K\n51, Federal-gov,20795, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,40, United-States, >50K\n53, Private,95519, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K\n47, Private,112791, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,291407, 11th,7, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n32, Private,239659, Some-college,10, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,70, United-States, <=50K\n28, Private,183151, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n58, ?,97634, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,143807, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,186934, Masters,14, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n30, Private,170065, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,108328, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,6849,0,50, United-States, <=50K\n56, State-gov,83696, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,38, ?, <=50K\n21, Private,204596, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n56, ?,32604, Some-college,10, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n56, Private,193453, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,65, United-States, >50K\n45, Private,148995, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, United-States, >50K\n20, Private,85041, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K\n62, Local-gov,140851, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,196280, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n52, Federal-gov,38973, Bachelors,13, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,39182, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,198841, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,694812, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,247444, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Nicaragua, <=50K\n41, Private,294270, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n59, Private,195820, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,329426, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,37, United-States, <=50K\n19, ?,174871, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,23, United-States, <=50K\n41, Private,116103, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n27, Private,206903, Bachelors,13, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,35, United-States, <=50K\n50, Private,217577, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,337693, 5th-6th,3, Never-married, Other-service, Own-child, White, Female,0,0,40, El-Salvador, <=50K\n38, Private,204501, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n30, Private,169186, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,60, United-States, <=50K\n48, Private,109421, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n39, Local-gov,267893, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, Black, Male,7298,0,40, United-States, >50K\n40, Private,200479, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n27, Local-gov,221317, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n59, Self-emp-not-inc,132925, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n31, ?,283531, HS-grad,9, Divorced, ?, Unmarried, Black, Female,0,0,20, United-States, <=50K\n34, Private,170769, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n47, Self-emp-inc,186410, Prof-school,15, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, >50K\n64, Self-emp-inc,307786, 1st-4th,2, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K\n29, Private,380560, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n38, Local-gov,147258, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,212894, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K\n49, Private,124356, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n53, Private,98791, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,216473, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n70, ?,135339, Bachelors,13, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n38, Private,107303, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,152744, Bachelors,13, Divorced, Sales, Other-relative, Asian-Pac-Islander, Female,0,0,40, South, <=50K\n34, Self-emp-not-inc,100079, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,55, India, <=50K\n24, Private,117779, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,10, Hungary, <=50K\n23, Private,197613, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,411068, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n47, Private,192984, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n59, Private,66356, 7th-8th,4, Never-married, Farming-fishing, Unmarried, White, Male,4865,0,40, United-States, <=50K\n33, Federal-gov,137184, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, >50K\n63, Self-emp-not-inc,231105, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, United-States, >50K\n18, Local-gov,146586, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,60, United-States, <=50K\n32, Private,32406, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n33, Private,578701, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, ?, <=50K\n19, Private,206777, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n27, Local-gov,133495, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,34722, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, >50K\n38, Self-emp-not-inc,133299, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,24967, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,47, United-States, <=50K\n35, Self-emp-not-inc,171968, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K\n22, Private,412156, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,51290, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,198265, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,3103,0,40, United-States, >50K\n23, Private,293565, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,226288, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Self-emp-inc,110445, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,160634, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,174242, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,390316, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n18, Private,298860, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n65, Private,171584, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,232664, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n64, Private,63676, 10th,6, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n68, Private,170376, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n56, Self-emp-not-inc,175964, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n68, Federal-gov,422013, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,3683,40, United-States, <=50K\n35, Private,105813, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K\n50, Federal-gov,306707, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,12, United-States, <=50K\n45, Private,177543, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,28, United-States, <=50K\n43, Private,320277, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,129495, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n37, Private,257042, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,1506,0,40, United-States, <=50K\n45, Private,275995, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n20, ?,86318, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K\n36, Private,280440, Assoc-acdm,12, Never-married, Tech-support, Unmarried, White, Female,0,0,45, United-States, <=50K\n26, Private,371556, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,408229, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K\n47, Private,149337, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K\n34, Private,209297, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,2001,40, United-States, <=50K\n53, Private,355802, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n32, Private,165949, Bachelors,13, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,1590,42, United-States, <=50K\n44, Self-emp-not-inc,112507, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,462869, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K\n35, Private,413648, 5th-6th,3, Never-married, Farming-fishing, Unmarried, White, Male,0,0,36, United-States, <=50K\n34, Private,29235, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,149823, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,39530, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,4, United-States, <=50K\n23, Private,197387, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,37, Mexico, <=50K\n56, Local-gov,255406, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,43764, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n38, Private,168322, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n46, Private,278322, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,115813, Assoc-acdm,12, Separated, Adm-clerical, Unmarried, White, Female,0,0,57, United-States, <=50K\n38, Self-emp-not-inc,184456, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,3464,0,80, Italy, <=50K\n42, Private,289636, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,46, United-States, <=50K\n48, Private,101684, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,133425, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n40, Private,349405, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, <=50K\n53, Private,124076, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999,0,37, United-States, >50K\n75, Self-emp-not-inc,165968, Assoc-voc,11, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K\n39, Private,185099, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K\n46, Federal-gov,268281, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Private,154949, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n34, Private,176711, HS-grad,9, Divorced, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,165064, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,213750, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K\n45, Self-emp-not-inc,77132, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n21, Private,109667, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,162164, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n40, Private,219591, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n20, ?,327462, 10th,6, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n68, Private,236943, 9th,5, Divorced, Farming-fishing, Not-in-family, Black, Male,0,0,20, United-States, <=50K\n40, Private,89226, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,124751, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,24, United-States, <=50K\n48, Local-gov,144122, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n27, Private,98769, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n57, Federal-gov,170066, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-inc,162439, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,98, United-States, >50K\n47, Private,22900, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Local-gov,102130, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n17, ?,215743, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,381583, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,45, United-States, >50K\n56, Local-gov,198277, 12th,8, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,243178, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,28, United-States, <=50K\n38, Local-gov,177305, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, <=50K\n19, Private,167149, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n24, Private,270872, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,594,0,40, ?, <=50K\n31, Private,382368, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, Germany, <=50K\n44, Local-gov,277144, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,60, United-States, <=50K\n21, State-gov,145651, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,1602,12, United-States, <=50K\n41, Private,171351, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,265099, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n23, Private,105617, 9th,5, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,217689, Some-college,10, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,32, United-States, <=50K\n46, ?,81136, Assoc-voc,11, Divorced, ?, Unmarried, White, Male,0,0,30, United-States, <=50K\n43, Self-emp-not-inc,73883, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,45, United-States, <=50K\n31, Private,339482, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n40, Private,326232, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, >50K\n27, Private,106316, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,12, United-States, <=50K\n64, Local-gov,198728, Some-college,10, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n31, Federal-gov,126501, Assoc-voc,11, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Private,233802, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, <=50K\n37, Self-emp-not-inc,204501, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, Canada, >50K\n28, Private,208249, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,24, United-States, <=50K\n42, Private,188693, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-inc,93272, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n17, Private,159299, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n21, ?,303588, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n46, Private,35136, 10th,6, Divorced, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n18, Private,139576, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,252355, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,27, United-States, <=50K\n44, Self-emp-not-inc,83812, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n36, Private,89718, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n65, Private,222810, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,456618, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n21, Private,296158, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K\n41, Private,162140, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,2339,40, United-States, <=50K\n28, Private,36601, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n27, Private,195337, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, State-gov,282721, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,12, United-States, <=50K\n40, Private,206049, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,223392, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n40, Private,27821, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,2829,0,40, United-States, <=50K\n37, Private,131827, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n33, Private,549413, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n34, Private,69491, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n44, Local-gov,193755, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,598802, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n72, Local-gov,259762, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,2290,0,10, United-States, <=50K\n19, Private,266255, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Private,32954, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K\n40, Private,291808, HS-grad,9, Divorced, Protective-serv, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n35, Private,190728, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,59184, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n41, Private,196456, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n59, Private,147989, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n50, Private,195784, 12th,8, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n21, Private,202214, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,10, United-States, <=50K\n40, Self-emp-inc,225165, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,54825, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,188905, 5th-6th,3, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n17, Private,132636, 11th,7, Never-married, Transport-moving, Own-child, White, Female,0,0,16, United-States, <=50K\n42, Local-gov,228320, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,415500, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K\n19, Private,254247, 12th,8, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, ?, <=50K\n43, Private,255635, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Mexico, <=50K\n46, Private,96080, 9th,5, Separated, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, ?,78181, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n50, Local-gov,339547, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, >50K\n47, Self-emp-not-inc,126500, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n31, Private,511289, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,2907,0,99, United-States, <=50K\n33, Private,159574, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n27, Private,224105, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K\n59, Self-emp-not-inc,128105, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n39, Local-gov,89508, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,370242, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,67257, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n24, Private,62952, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,111058, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,1980,40, United-States, <=50K\n30, Private,29235, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K\n52, State-gov,101119, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n51, Federal-gov,140516, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,159888, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K\n19, ?,45643, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n23, Private,166371, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,60, United-States, <=50K\n37, State-gov,160910, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n25, State-gov,257064, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,38, United-States, <=50K\n49, Self-emp-not-inc,181307, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,65, United-States, >50K\n30, Private,83253, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n40, Private,128700, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,243010, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Other, Male,0,0,32, United-States, <=50K\n35, Self-emp-not-inc,37778, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,3103,0,55, United-States, <=50K\n24, Private,132320, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K\n32, Private,234755, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n35, Private,142616, HS-grad,9, Separated, Other-service, Own-child, Black, Female,0,0,30, United-States, <=50K\n20, Private,148509, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, State-gov,240738, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,32276, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,28, United-States, <=50K\n50, Local-gov,163921, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,464103, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n49, ?,271346, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,15024,0,60, United-States, >50K\n30, Local-gov,327825, HS-grad,9, Divorced, Protective-serv, Own-child, White, Female,0,0,32, United-States, <=50K\n37, Private,267085, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,266945, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,3137,0,40, El-Salvador, <=50K\n20, Private,234663, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n49, Self-emp-not-inc,189123, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,50, United-States, <=50K\n55, Private,104996, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n61, Private,101265, 12th,8, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, Italy, <=50K\n22, Private,184975, HS-grad,9, Married-spouse-absent, Other-service, Own-child, White, Female,0,0,3, United-States, <=50K\n23, Private,246965, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,12, United-States, <=50K\n43, Private,227065, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n39, Private,301867, Bachelors,13, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,24, Philippines, <=50K\n21, Private,185948, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n52, Self-emp-inc,134854, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,281030, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K\n42, Private,126701, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Male,9562,0,45, United-States, >50K\n50, Self-emp-not-inc,95949, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n51, Self-emp-not-inc,88528, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,99, United-States, <=50K\n47, Private,24723, 10th,6, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,45, United-States, <=50K\n49, ?,171411, 9th,5, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,184581, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n48, Federal-gov,100067, Some-college,10, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Private,182863, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n20, Never-worked,462294, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n61, Private,85434, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n72, Private,158092, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n19, Private,104844, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n54, Self-emp-inc,304570, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,7688,0,40, ?, >50K\n47, ?,89806, Some-college,10, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K\n39, Private,106183, HS-grad,9, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female,6849,0,40, United-States, <=50K\n24, Private,89347, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,157236, Some-college,10, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,40, Poland, <=50K\n19, Private,261259, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n20, Private,286166, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K\n23, Private,122272, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K\n58, Private,248739, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,53, United-States, >50K\n20, Private,224238, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n62, Private,138157, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,12, United-States, <=50K\n25, Private,148460, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,4416,0,40, Puerto-Rico, <=50K\n67, Private,236627, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,2, United-States, <=50K\n37, Local-gov,191364, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, France, >50K\n36, Private,353524, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Female,1831,0,40, United-States, <=50K\n38, Private,391040, Assoc-voc,11, Separated, Tech-support, Unmarried, White, Female,0,0,20, United-States, <=50K\n23, Private,134997, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,80, United-States, <=50K\n28, Private,392487, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n25, Private,216724, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,174395, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,55, United-States, >50K\n63, Private,383058, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1848,40, United-States, >50K\n60, Self-emp-not-inc,96073, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n31, Self-emp-inc,103435, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n29, Self-emp-not-inc,96718, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,37, United-States, <=50K\n37, Private,178948, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,45, United-States, >50K\n51, Private,173987, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,34419, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n27, Private,224849, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,249857, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n34, Private,340458, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,427422, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,0,2377,25, United-States, >50K\n19, ?,440417, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K\n36, Private,175643, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n35, Private,297485, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,232954, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n29, Private,326330, Some-college,10, Divorced, Exec-managerial, Own-child, White, Female,1831,0,40, United-States, <=50K\n25, Private,109419, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,127768, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,32, United-States, >50K\n41, Private,252986, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n20, Private,380544, Assoc-acdm,12, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K\n52, Private,306108, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,232855, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,37, United-States, <=50K\n44, Private,130126, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n50, Private,194231, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, >50K\n49, Self-emp-inc,197038, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n36, ?,168223, Bachelors,13, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n71, State-gov,26109, Prof-school,15, Married-civ-spouse, Other-service, Husband, White, Male,0,0,28, United-States, <=50K\n20, Private,285671, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,25, United-States, <=50K\n20, Private,153583, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, ?, <=50K\n59, Self-emp-inc,103948, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n41, Private,439919, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,3411,0,40, Mexico, <=50K\n38, Private,40319, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,42, United-States, <=50K\n55, Local-gov,159028, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,98675, 9th,5, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n45, Private,90758, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n43, Self-emp-not-inc,75435, HS-grad,9, Divorced, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K\n19, Private,219189, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n33, Private,203463, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n63, Private,187635, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,154641, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,8614,0,50, United-States, >50K\n34, Private,27153, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,150324, Assoc-acdm,12, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n21, Private,83704, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,176262, Assoc-voc,11, Never-married, Adm-clerical, Other-relative, White, Female,0,0,36, United-States, <=50K\n20, Private,179423, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,8, United-States, <=50K\n45, Private,168038, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K\n59, Private,108765, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n58, Private,146477, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, Greece, >50K\n66, Local-gov,188220, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, >50K\n37, Private,292855, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,35, United-States, >50K\n29, Private,114870, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n32, State-gov,77723, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n39, Private,284166, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K\n57, Private,133902, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n57, Private,191318, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n50, Self-emp-inc,67794, HS-grad,9, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n44, Self-emp-inc,357679, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024,0,65, United-States, >50K\n56, Private,117872, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n26, Private,55929, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, <=50K\n22, ?,165065, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, Italy, <=50K\n26, Self-emp-not-inc,34307, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,65, United-States, <=50K\n33, Private,246038, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Self-emp-not-inc,147258, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n45, Private,329144, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n56, Local-gov,52953, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,1669,38, United-States, <=50K\n23, Private,216181, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,36, Iran, <=50K\n23, Private,391171, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,25, United-States, <=50K\n35, Local-gov,223242, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,103925, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,32, United-States, >50K\n45, Private,38240, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,148444, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n56, State-gov,110257, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n31, Federal-gov,101345, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n44, Private,268098, 12th,8, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,36, United-States, <=50K\n21, ?,369084, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,10, United-States, <=50K\n31, Private,288825, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013,0,40, United-States, <=50K\n20, Private,162688, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,38, United-States, <=50K\n17, ?,48751, 11th,7, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n44, Federal-gov,184099, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,307496, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,23, United-States, <=50K\n71, ?,176986, HS-grad,9, Widowed, ?, Unmarried, White, Male,0,0,24, United-States, <=50K\n23, Private,267955, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,283969, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, Mexico, <=50K\n29, State-gov,204516, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, <=50K\n33, Private,167771, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n46, Private,345073, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, >50K\n21, ?,380219, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n36, Self-emp-inc,306156, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K\n70, Self-emp-not-inc,37203, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,9386,0,30, United-States, >50K\n19, Private,185097, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,37, United-States, <=50K\n29, Private,144808, Some-college,10, Married-civ-spouse, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K\n34, Private,187203, Assoc-acdm,12, Never-married, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K\n26, Private,125089, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,289458, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,144798, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, ?,172152, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,25, Taiwan, <=50K\n28, Private,207513, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,48, United-States, <=50K\n24, ?,164574, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n76, Private,199949, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,20051,0,50, United-States, >50K\n19, Private,213024, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,213140, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,40, United-States, <=50K\n24, Self-emp-not-inc,83374, Some-college,10, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,30, United-States, >50K\n37, Private,192939, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,424494, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n24, Private,215243, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K\n40, Private,30682, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n20, Private,306639, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n23, Local-gov,218678, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,219130, Some-college,10, Never-married, Other-service, Not-in-family, Other, Female,0,0,40, United-States, <=50K\n64, Private,180624, Assoc-acdm,12, Never-married, Prof-specialty, Other-relative, White, Female,0,0,30, United-States, <=50K\n53, Local-gov,200190, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,55, United-States, >50K\n28, Private,194472, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n52, Local-gov,205767, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n28, Private,249870, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n31, Private,211242, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n77, Private,149912, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,10, United-States, <=50K\n22, Private,85389, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n17, ?,806316, 11th,7, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n38, Private,329980, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K\n45, ?,236612, 11th,7, Divorced, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n25, Local-gov,249214, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n50, Private,257126, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n53, Local-gov,204397, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n24, Private,291979, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,138667, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n57, Federal-gov,42298, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,15024,0,40, United-States, >50K\n39, Private,375452, Prof-school,15, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,48, United-States, >50K\n30, Private,94413, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,30, United-States, <=50K\n31, Federal-gov,166626, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n39, State-gov,326566, Some-college,10, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n30, Private,165503, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,65, United-States, <=50K\n48, Private,102597, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,44, United-States, <=50K\n62, ?,113234, Masters,14, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n39, Private,177277, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n34, Private,198103, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,1980,40, United-States, <=50K\n45, Private,260490, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n32, Private,237478, 11th,7, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Federal-gov,36885, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n17, Private,166242, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n19, ?,158603, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,25, United-States, <=50K\n25, Private,274228, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,84, United-States, <=50K\n42, Private,185145, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,57, United-States, <=50K\n66, Private,28367, Bachelors,13, Married-civ-spouse, Priv-house-serv, Other-relative, White, Male,0,0,99, United-States, <=50K\n63, Self-emp-not-inc,28612, HS-grad,9, Widowed, Sales, Not-in-family, White, Male,0,0,70, United-States, <=50K\n43, Private,191429, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K\n26, Private,459548, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,20, Mexico, <=50K\n23, Private,65481, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K\n39, Private,186130, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n47, Self-emp-inc,350759, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,359678, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,48, United-States, <=50K\n35, Private,220595, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,29599, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, State-gov,299153, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n46, Private,75256, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,40, United-States, <=50K\n43, Private,143583, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n31, State-gov,207505, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,70, United-States, >50K\n41, Private,308550, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,60, United-States, <=50K\n50, Private,145717, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n36, Private,334366, 11th,7, Separated, Exec-managerial, Not-in-family, White, Female,0,0,32, United-States, <=50K\n31, ?,76198, HS-grad,9, Separated, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n45, Self-emp-not-inc,155489, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n50, Private,197322, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,194259, 7th-8th,4, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K\n40, Private,346189, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,98361, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n64, ?,178556, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,56, United-States, >50K\n51, Self-emp-inc,162943, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,19302, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n56, State-gov,67662, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,39, United-States, <=50K\n35, Private,126675, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n55, Self-emp-not-inc,278228, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n30, Private,169152, HS-grad,9, Never-married, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,204052, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,215392, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n43, Self-emp-inc,83348, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n24, Local-gov,196816, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Private,541343, 10th,6, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Local-gov,55921, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,70, United-States, <=50K\n32, Private,251701, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K\n29, Federal-gov,119848, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,160572, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,47, United-States, <=50K\n18, Private,25837, 11th,7, Never-married, Prof-specialty, Own-child, White, Male,0,0,15, United-States, <=50K\n20, Private,236592, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n45, State-gov,199326, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n22, Private,341610, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,35, ?, <=50K\n45, Private,175958, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,198965, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,193537, 7th-8th,4, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,35, Puerto-Rico, <=50K\n24, Private,438839, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,298227, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,35, United-States, <=50K\n28, Private,271466, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n23, Private,335570, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n21, Private,206891, 7th-8th,4, Never-married, Farming-fishing, Own-child, White, Female,0,0,38, United-States, <=50K\n23, Private,162551, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K\n45, Private,145637, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K\n41, Private,101290, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Federal-gov,229376, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,439592, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n37, Private,161141, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n70, Private,304570, Bachelors,13, Widowed, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,0,32, Philippines, <=50K\n24, Private,103277, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,2597,0,40, United-States, <=50K\n28, Local-gov,407672, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,73928, Assoc-voc,11, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K\n83, Self-emp-inc,240150, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,20051,0,50, United-States, >50K\n69, Private,230417, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, China, >50K\n37, Private,260093, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,96020, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,104421, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n71, Private,152307, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2377,45, United-States, >50K\n56, State-gov,93415, HS-grad,9, Widowed, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n27, Local-gov,282664, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,45, ?, <=50K\n42, Self-emp-not-inc,269733, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,99999,0,80, United-States, >50K\n21, Private,202871, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,44, United-States, <=50K\n29, Private,169683, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,271603, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Male,0,0,24, ?, <=50K\n32, Private,340917, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n31, Private,329874, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,43770, Some-college,10, Separated, Other-service, Not-in-family, White, Female,4650,0,72, United-States, <=50K\n55, State-gov,120781, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K\n48, Private,138069, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n58, Self-emp-not-inc,33309, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,80, United-States, <=50K\n23, Private,76432, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, State-gov,277635, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n49, Local-gov,123088, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,46, United-States, <=50K\n51, Private,57698, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,181820, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,53, United-States, <=50K\n40, Self-emp-not-inc,98985, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n59, Private,98350, HS-grad,9, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n47, Private,125120, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Female,0,0,50, United-States, <=50K\n37, Private,243409, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,58972, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,1506,0,40, United-States, <=50K\n43, Private,62857, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n40, Private,283174, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n48, Private,107373, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,201155, 9th,5, Never-married, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K\n48, Private,187505, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,61778, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,30, United-States, <=50K\n19, Private,223648, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,4101,0,48, United-States, <=50K\n28, Private,149652, 10th,6, Never-married, Other-service, Own-child, Black, Female,0,0,30, United-States, <=50K\n56, Private,170324, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Trinadad&Tobago, <=50K\n45, Private,165937, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K\n60, State-gov,114060, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n53, State-gov,58913, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n37, State-gov,378916, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,241885, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,224421, Assoc-voc,11, Married-AF-spouse, Farming-fishing, Husband, White, Male,0,0,44, United-States, >50K\n31, ?,213771, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,36, United-States, <=50K\n39, Private,315565, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, Cuba, <=50K\n31, Local-gov,153005, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,98211, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K\n17, Private,198606, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,16, United-States, <=50K\n19, Private,260333, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n24, Private,219510, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,32, United-States, <=50K\n62, Private,266624, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,6418,0,40, United-States, >50K\n34, Private,136862, 1st-4th,2, Never-married, Other-service, Other-relative, White, Female,0,0,40, Guatemala, <=50K\n47, Self-emp-inc,215620, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n58, Private,187067, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,62, Canada, <=50K\n23, Private,325921, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K\n33, Private,268127, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n76, Private,142535, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Male,0,0,6, United-States, <=50K\n40, Private,177083, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n28, Private,77009, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K\n41, Private,306405, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K\n46, Local-gov,303918, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,96, United-States, >50K\n22, Federal-gov,262819, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,49087, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,53833, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n31, Private,1033222, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,8614,0,40, United-States, >50K\n22, Private,81145, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n41, Private,215479, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,43, United-States, <=50K\n29, Private,113464, HS-grad,9, Never-married, Transport-moving, Other-relative, Other, Male,0,0,40, Dominican-Republic, <=50K\n60, Private,109530, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, United-States, >50K\n72, Federal-gov,217864, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-inc,117721, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K\n19, Private,199484, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n25, Private,248851, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,116968, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n59, Private,366618, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n17, Private,240143, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K\n59, ?,424468, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n69, ?,320280, Some-college,10, Never-married, ?, Not-in-family, White, Male,1848,0,1, United-States, <=50K\n25, Private,120238, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,2885,0,43, United-States, <=50K\n50, ?,194186, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K\n29, Private,247053, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,180599, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n29, Local-gov,190330, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n29, State-gov,199450, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, <=50K\n32, Local-gov,199539, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n17, ?,94366, 10th,6, Never-married, ?, Other-relative, White, Male,0,0,6, United-States, <=50K\n50, Self-emp-not-inc,29231, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n43, Private,33126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,102085, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,212064, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n54, State-gov,166774, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K\n65, Private,95303, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n18, ?,379768, HS-grad,9, Never-married, ?, Own-child, Other, Female,0,0,40, United-States, <=50K\n70, Self-emp-inc,247383, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,229465, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n37, Private,135436, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K\n21, Private,180052, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K\n20, Private,214387, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n47, State-gov,149337, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,38, United-States, <=50K\n26, Private,208326, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3942,0,45, United-States, <=50K\n31, Private,34374, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n45, Self-emp-not-inc,58683, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,403037, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Private,32365, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n49, Private,155489, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n33, Self-emp-inc,289886, HS-grad,9, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n30, Federal-gov,54684, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, ?, <=50K\n19, Private,101549, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n48, Self-emp-inc,51579, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n41, Private,40151, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n29, Private,244721, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,35, United-States, >50K\n47, Local-gov,228372, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K\n53, Local-gov,236873, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n19, Private,250249, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n71, Private,93202, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K\n29, Private,176723, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K\n43, Local-gov,175526, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,91842, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K\n52, Private,71768, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Private,181220, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,204516, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,89172, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, <=50K\n37, Federal-gov,143547, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,310889, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n31, Local-gov,150324, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,216472, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n64, Private,212838, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n45, Private,168283, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,187702, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n19, Private,60661, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,52, United-States, <=50K\n54, Private,115284, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, United-States, >50K\n61, Self-emp-inc,98350, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K\n18, Private,195372, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n62, ?,81578, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,111567, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,244572, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,37, United-States, <=50K\n54, Private,230919, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,282604, Some-college,10, Married-civ-spouse, Protective-serv, Other-relative, White, Male,0,0,24, United-States, <=50K\n54, Private,320196, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, Germany, <=50K\n42, Private,201466, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n51, Federal-gov,254211, Masters,14, Widowed, Sales, Unmarried, White, Male,0,0,50, El-Salvador, >50K\n41, Private,599629, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, >50K\n47, Local-gov,219632, Assoc-acdm,12, Separated, Exec-managerial, Not-in-family, White, Male,0,1408,40, United-States, <=50K\n31, State-gov,161631, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n21, Private,202373, Assoc-voc,11, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n52, Private,169549, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,127185, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K\n18, Private,184277, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n58, Private,119751, HS-grad,9, Married-civ-spouse, Priv-house-serv, Other-relative, Asian-Pac-Islander, Female,0,0,60, Philippines, <=50K\n23, Private,294701, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n21, Private,26842, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n43, State-gov,114537, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,126386, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,163787, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n44, Private,98211, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,175509, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n48, Private,159854, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-inc,120920, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n24, Private,187551, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K\n41, State-gov,27305, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,216711, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n47, Local-gov,218596, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,280292, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,32, United-States, <=50K\n40, Private,200496, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,78090, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K\n23, Private,118693, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,203488, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n27, Local-gov,172091, HS-grad,9, Never-married, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n32, Private,113364, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n72, Self-emp-not-inc,139889, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,74, United-States, <=50K\n43, Local-gov,301638, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1579,40, United-States, <=50K\n32, Private,110279, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K\n53, Private,242859, Some-college,10, Separated, Adm-clerical, Own-child, White, Male,0,0,40, Cuba, <=50K\n18, Private,132986, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n38, Private,254439, 10th,6, Widowed, Transport-moving, Unmarried, Black, Male,114,0,40, United-States, <=50K\n41, Federal-gov,187462, Assoc-voc,11, Divorced, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n29, Private,264961, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K\n70, ?,148065, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,4, United-States, >50K\n46, Self-emp-inc,200949, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,50, ?, <=50K\n47, Private,47247, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n56, Local-gov,571017, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,15, United-States, <=50K\n28, Private,416577, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,2829,0,40, United-States, <=50K\n55, State-gov,296991, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n50, State-gov,45961, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,6849,0,40, United-States, <=50K\n47, Private,302711, 11th,7, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-inc,50356, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,199336, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,25, United-States, <=50K\n42, Private,341178, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,44, Mexico, <=50K\n42, Federal-gov,70240, Some-college,10, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n46, Private,229394, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,390368, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,15024,0,99, United-States, >50K\n55, Private,82098, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,55, United-States, <=50K\n57, Private,170411, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,109532, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,142682, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, Dominican-Republic, <=50K\n34, Self-emp-inc,127651, Bachelors,13, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K\n27, Local-gov,236472, Bachelors,13, Divorced, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K\n25, Private,176047, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,2176,0,40, United-States, <=50K\n37, Private,111499, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,425199, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,45, United-States, <=50K\n38, Private,229009, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K\n17, Private,232713, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,594,0,30, United-States, <=50K\n70, Private,141742, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,9386,0,50, United-States, >50K\n37, Private,234807, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K\n45, Private,738812, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K\n56, Private,204816, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n64, Private,342494, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,226311, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K\n23, Private,143062, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,125155, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,90, United-States, <=50K\n23, Private,329925, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n26, ?,208994, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,12, United-States, <=50K\n56, Local-gov,212864, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,214242, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n47, Self-emp-not-inc,191175, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,2179,50, Mexico, <=50K\n21, Private,118693, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,253593, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n32, State-gov,206051, Some-college,10, Married-spouse-absent, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K\n72, Private,497280, 9th,5, Widowed, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K\n69, Self-emp-not-inc,240562, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K\n19, Private,140985, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,25, United-States, <=50K\n25, Local-gov,191921, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,25, United-States, <=50K\n56, Private,204049, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1848,50, United-States, >50K\n42, Private,331651, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,8614,0,50, United-States, >50K\n58, Private,142158, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,35, United-States, <=50K\n24, Private,249046, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,213019, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,38, United-States, >50K\n40, Private,199599, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,186191, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, ?, <=50K\n25, Private,28008, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-inc,82488, Bachelors,13, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K\n36, Private,117073, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,325786, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,37546, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,204226, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,133299, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,29702, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,307812, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,174545, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,46, United-States, <=50K\n23, Private,233472, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,184147, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,20, United-States, <=50K\n27, Private,198188, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,2580,0,45, United-States, <=50K\n32, Private,447066, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,15024,0,50, United-States, >50K\n33, Private,200246, Some-college,10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,166585, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n21, Private,335570, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, ?, <=50K\n39, Private,53569, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,167065, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,113364, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n40, Federal-gov,219266, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n58, Federal-gov,200042, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n20, Private,205975, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n63, ?,234083, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,2205,40, United-States, <=50K\n56, Private,65325, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n30, Local-gov,194740, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,99065, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,39, United-States, <=50K\n25, Private,212793, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n33, Private,112941, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n41, State-gov,187322, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,283676, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,173682, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,168470, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,186454, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,13550,0,40, United-States, >50K\n58, Private,141807, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Italy, <=50K\n25, Private,245628, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,15, Mexico, <=50K\n31, Private,264864, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n39, Private,262841, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n55, Private,37438, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,170800, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K\n44, Private,152150, Assoc-acdm,12, Separated, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, ?,211873, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,1628,5, ?, <=50K\n44, Private,159580, 12th,8, Divorced, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, Private,477209, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,54, United-States, <=50K\n32, Private,70985, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,241998, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,249541, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,135339, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n32, Private,44675, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K\n46, State-gov,247992, 7th-8th,4, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n26, Self-emp-not-inc,221626, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,1579,20, United-States, <=50K\n43, Self-emp-inc,48087, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, Local-gov,114045, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n60, State-gov,69251, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,38, China, >50K\n67, Private,192670, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n19, Private,268392, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,30, United-States, <=50K\n55, ?,170994, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,431513, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, >50K\n19, State-gov,37332, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n19, Private,35865, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n43, Private,183891, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,150309, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,90, United-States, <=50K\n65, Private,93318, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, <=50K\n32, Private,171814, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, State-gov,183735, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,353541, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n33, Local-gov,152351, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,3908,0,40, United-States, <=50K\n72, ?,271352, 10th,6, Divorced, ?, Not-in-family, White, Male,0,0,12, United-States, <=50K\n34, Private,345705, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K\n27, Private,223751, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n75, Self-emp-inc,164570, 11th,7, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n39, ?,281363, 10th,6, Widowed, ?, Unmarried, White, Female,0,0,15, United-States, <=50K\n51, Private,110747, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K\n47, Private,34458, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,254293, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,270147, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n48, Private,195491, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n36, Local-gov,255454, Bachelors,13, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n18, Private,126125, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n33, Private,618191, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,163110, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,145409, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,48, United-States, >50K\n39, State-gov,235379, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,55465, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n67, Local-gov,181220, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n42, Private,26672, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n59, Private,98361, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Local-gov,219883, HS-grad,9, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n19, Private,376683, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,2036,0,30, United-States, <=50K\n47, Private,33865, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, <=50K\n68, Private,168794, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n30, Private,94245, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,34572, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,60, United-States, <=50K\n49, Private,348751, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,65382, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n60, Private,116707, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K\n51, Private,178054, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, ?, >50K\n24, Private,140001, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,166889, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Female,0,1602,35, United-States, <=50K\n24, Private,117789, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,238917, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n48, Local-gov,242923, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,1848,40, United-States, >50K\n52, Local-gov,330799, 9th,5, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n48, Private,209460, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Federal-gov,75313, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,66, United-States, >50K\n29, ?,339100, 11th,7, Divorced, ?, Not-in-family, White, Female,3418,0,48, United-States, <=50K\n20, Private,184779, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,20, United-States, <=50K\n31, Private,139000, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K\n30, Private,361742, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,260782, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, ?, <=50K\n51, Private,203435, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,100579, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,356067, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,16, United-States, <=50K\n46, Private,87250, Bachelors,13, Separated, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,264663, Some-college,10, Separated, Prof-specialty, Own-child, White, Female,0,3900,40, United-States, <=50K\n29, Private,255817, 5th-6th,3, Never-married, Other-service, Other-relative, White, Female,0,0,40, El-Salvador, <=50K\n48, Self-emp-not-inc,243631, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,30, South, <=50K\n34, Self-emp-inc,544268, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n42, Self-emp-not-inc,98061, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,95691, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,30, Columbia, <=50K\n47, Private,145868, 11th,7, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,65038, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,227734, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,22, United-States, <=50K\n19, Local-gov,176831, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,35, United-States, <=50K\n22, Private,211678, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Local-gov,157240, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,70, United-States, <=50K\n41, Self-emp-not-inc,145441, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Yugoslavia, <=50K\n71, Self-emp-inc,66624, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2392,60, United-States, >50K\n42, Private,76487, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n31, State-gov,557853, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,47, United-States, <=50K\n69, ?,262352, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K\n58, Self-emp-not-inc,118253, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n36, Private,146625, 11th,7, Widowed, Other-service, Unmarried, Black, Female,0,0,12, United-States, <=50K\n31, Private,174201, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n20, ?,66695, Some-college,10, Never-married, ?, Own-child, Other, Female,594,0,35, United-States, <=50K\n41, Private,121130, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,385847, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, ?,83439, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,114158, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K\n27, Private,381789, 12th,8, Married-civ-spouse, Farming-fishing, Own-child, White, Male,0,0,55, United-States, <=50K\n17, Private,82041, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Canada, <=50K\n35, Self-emp-not-inc,115618, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n45, Self-emp-not-inc,106110, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,99, United-States, <=50K\n44, Private,267521, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,90692, Assoc-voc,11, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n51, Private,57101, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,236913, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K\n64, Self-emp-not-inc,388625, 10th,6, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,10, United-States, >50K\n54, Self-emp-not-inc,261207, 7th-8th,4, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, Cuba, <=50K\n43, Private,245487, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K\n32, Private,262153, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K\n36, Private,225516, Assoc-acdm,12, Never-married, Sales, Not-in-family, Black, Male,10520,0,43, United-States, >50K\n26, Self-emp-not-inc,68729, HS-grad,9, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male,0,0,50, United-States, >50K\n37, Private,126954, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n38, Private,85074, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,383306, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,128143, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,50, United-States, >50K\n47, Private,185041, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n42, Private,99373, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, Local-gov,157942, HS-grad,9, Widowed, Transport-moving, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n43, Private,241928, HS-grad,9, Separated, Adm-clerical, Not-in-family, Black, Female,0,0,32, United-States, <=50K\n37, Private,348739, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n37, Private,95654, 10th,6, Divorced, Exec-managerial, Unmarried, White, Female,0,0,35, United-States, <=50K\n25, Private,367306, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,270421, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n63, ?,221592, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n50, Self-emp-not-inc,156951, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K\n42, State-gov,39239, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, <=50K\n32, Private,72744, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n42, State-gov,367292, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-not-inc,408498, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,361493, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n65, Self-emp-inc,157403, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,231263, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,244147, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,10, United-States, <=50K\n24, Private,220944, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n51, Federal-gov,314007, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n67, ?,200862, 10th,6, Never-married, ?, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n28, Private,33374, 11th,7, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n32, Self-emp-inc,345489, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n77, Private,83601, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,162302, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n26, Private,112847, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,147344, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n57, State-gov,183657, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,35, United-States, >50K\n40, Private,130760, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n50, Private,163948, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,316797, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,45, Mexico, <=50K\n54, Federal-gov,332243, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,195844, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n51, Local-gov,387250, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n38, State-gov,188303, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,40, United-States, >50K\n68, ?,40956, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n17, Private,178953, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n32, Private,398988, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,535978, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n42, Private,296982, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n40, Private,231991, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,295799, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, State-gov,201569, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n58, Private,193568, 11th,7, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, Private,97128, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n42, Private,203393, Bachelors,13, Married-civ-spouse, Craft-repair, Wife, Black, Female,0,0,35, United-States, >50K\n49, Private,138370, Masters,14, Married-spouse-absent, Protective-serv, Not-in-family, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n41, Self-emp-inc,120277, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, <=50K\n43, Private,91949, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n46, Private,228372, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,40, United-States, >50K\n28, Private,132191, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n39, Self-emp-not-inc,274683, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n50, Local-gov,196307, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n57, Private,195835, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,185399, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,38, United-States, <=50K\n79, Self-emp-not-inc,103684, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,140559, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,45, United-States, <=50K\n35, Federal-gov,110188, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n35, Local-gov,668319, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1740,80, United-States, <=50K\n30, Private,112358, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, >50K\n26, Private,151810, 10th,6, Never-married, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n49, Private,48120, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Female,1506,0,40, United-States, <=50K\n48, Private,144844, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,205839, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K\n22, Private,113760, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n50, Private,138358, 10th,6, Separated, Adm-clerical, Not-in-family, Black, Female,0,0,47, Jamaica, <=50K\n47, Self-emp-not-inc,216657, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n36, Private,278576, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n44, Private,174373, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n73, Private,220019, 9th,5, Widowed, Other-service, Unmarried, White, Female,0,0,9, United-States, <=50K\n24, ?,311949, HS-grad,9, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,45, ?, <=50K\n34, Private,303867, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,154210, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Hong, <=50K\n28, ?,131310, 12th,8, Married-civ-spouse, ?, Wife, White, Female,0,0,20, Germany, <=50K\n46, Private,202560, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n20, ?,358783, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n29, Private,423024, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n24, Private,206671, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, State-gov,245310, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n18, Private,31983, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Private,124956, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,90, United-States, >50K\n59, Private,118358, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,491421, 5th-6th,3, Never-married, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K\n50, Private,151580, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,248990, 1st-4th,2, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,24, Mexico, <=50K\n42, Private,157425, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n36, Private,221650, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Japan, <=50K\n62, Private,88055, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, >50K\n71, Private,216608, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,682947, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n44, Private,228124, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n19, ?,217194, 10th,6, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n49, Self-emp-not-inc,171540, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n60, Self-emp-inc,210827, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n28, Self-emp-not-inc,410351, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Poland, <=50K\n26, Private,163747, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,55, United-States, <=50K\n18, Private,108892, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n43, Private,180096, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n65, Local-gov,153890, 12th,8, Widowed, Exec-managerial, Not-in-family, White, Male,2009,0,44, United-States, <=50K\n23, Private,117480, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,44, United-States, <=50K\n21, Private,163333, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n20, Self-emp-not-inc,306710, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,150553, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,18, Philippines, <=50K\n77, Private,123959, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K\n32, Private,24961, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,327120, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n29, Self-emp-not-inc,33798, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n59, Private,81929, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,45, United-States, >50K\n22, Private,298489, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n30, ?,101697, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K\n31, Private,144064, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n59, Self-emp-not-inc,195835, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n29, Federal-gov,184723, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, >50K\n56, Private,265086, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n19, Private,235909, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n37, Private,42645, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n58, State-gov,279878, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,104892, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,137063, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,38, United-States, <=50K\n38, Self-emp-not-inc,58972, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,126675, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n19, Private,286435, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,594,0,40, United-States, <=50K\n46, Private,191389, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,28, United-States, >50K\n42, Private,183241, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n29, Private,91547, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,52781, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n29, Private,210959, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,365516, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,112271, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,269455, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n46, Private,164379, Bachelors,13, Divorced, Sales, Unmarried, Black, Female,0,0,35, United-States, >50K\n28, Private,109621, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,104858, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, United-States, >50K\n39, Private,99270, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n44, Private,193524, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n70, ?,149040, HS-grad,9, Widowed, ?, Not-in-family, White, Female,2964,0,12, United-States, <=50K\n60, State-gov,313946, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,162358, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n59, Private,200700, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,48, United-States, >50K\n21, Private,116489, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,60, United-States, <=50K\n22, Private,118310, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Female,0,0,16, United-States, <=50K\n31, Private,352465, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n40, Private,107433, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n33, Private,296538, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n41, Local-gov,195897, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n31, Self-emp-not-inc,216283, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, >50K\n62, Private,345780, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,216685, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, <=50K\n28, Local-gov,210945, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,60, United-States, <=50K\n43, Private,184321, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,1887,40, United-States, >50K\n55, Self-emp-not-inc,322691, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,3103,0,55, United-States, >50K\n42, Private,192712, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n23, Private,178272, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Federal-gov,321333, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n44, Self-emp-inc,120277, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,45, United-States, >50K\n19, Private,294029, 11th,7, Never-married, Sales, Own-child, Other, Female,0,0,32, Nicaragua, <=50K\n23, Private,112819, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,152636, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,50, United-States, <=50K\n63, ?,301611, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n51, Private,134808, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,64216, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,90, United-States, <=50K\n29, State-gov,214284, Masters,14, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,20, Taiwan, <=50K\n25, Private,469572, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,40, United-States, >50K\n44, Self-emp-not-inc,282722, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n17, Private,231439, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n42, Self-emp-inc,120277, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,364685, 11th,7, Never-married, Tech-support, Own-child, White, Female,0,0,35, United-States, <=50K\n26, Private,18827, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,169129, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,202051, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n58, ?,353244, Bachelors,13, Widowed, ?, Unmarried, White, Female,27828,0,50, United-States, >50K\n19, Private,574271, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,28, United-States, <=50K\n65, State-gov,29276, 7th-8th,4, Widowed, Other-service, Other-relative, White, Female,0,0,24, United-States, <=50K\n52, Self-emp-not-inc,104501, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, >50K\n17, Private,394176, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n27, Private,85625, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,22, United-States, <=50K\n53, Private,340723, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,149342, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,73715, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,143083, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,18, United-States, <=50K\n40, Local-gov,290660, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,8614,0,50, United-States, >50K\n49, Local-gov,98738, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n86, Private,149912, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Private,309033, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,60, United-States, >50K\n43, Self-emp-not-inc,96129, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K\n47, Private,216096, Some-college,10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,35, Puerto-Rico, <=50K\n32, Private,171091, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n30, Self-emp-not-inc,79303, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n25, Local-gov,182380, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,36271, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n60, Private,118197, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K\n46, Private,269652, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,38, United-States, >50K\n39, Local-gov,193815, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,141957, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,1887,70, United-States, >50K\n26, Private,222637, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,55, Puerto-Rico, <=50K\n27, Private,118230, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Private,174040, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n64, State-gov,105748, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n90, Self-emp-not-inc,82628, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,2964,0,12, United-States, <=50K\n51, Private,205100, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,45, United-States, >50K\n36, Private,107916, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2002,40, United-States, <=50K\n39, Private,130620, 7th-8th,4, Married-spouse-absent, Machine-op-inspct, Unmarried, Other, Female,0,0,40, Dominican-Republic, <=50K\n30, ?,361817, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n47, Self-emp-not-inc,235646, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,53277, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n24, Private,456460, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n23, Private,293091, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n62, Private,210935, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n48, ?,199763, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K\n62, ?,223447, 12th,8, Divorced, ?, Not-in-family, White, Male,0,0,40, Canada, <=50K\n35, Self-emp-not-inc,233533, Bachelors,13, Separated, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K\n27, Private,95647, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n49, Private,199763, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,35, United-States, <=50K\n18, Private,74539, 10th,6, Never-married, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K\n19, Private,84610, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n63, Self-emp-inc,96930, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,115602, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K\n24, Private,237341, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n61, Private,143800, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n50, Self-emp-inc,163921, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K\n36, Private,68273, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,113163, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K\n38, Self-emp-inc,478829, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n30, Private,345705, Some-college,10, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K\n22, Private,385077, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,2907,0,40, United-States, <=50K\n33, Private,192286, Some-college,10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,52, United-States, <=50K\n39, Local-gov,236391, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, >50K\n42, Private,106679, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n47, ?,308242, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,46094, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,33, United-States, <=50K\n29, Private,194940, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,341643, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n23, Private,210474, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n28, Private,76313, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n34, Private,115858, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,55191, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n67, Self-emp-not-inc,364862, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n49, Private,334787, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,205733, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, ?,120163, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,333677, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,2463,0,35, United-States, <=50K\n25, Private,208591, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,341204, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,1831,0,30, United-States, <=50K\n56, Self-emp-not-inc,115422, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-inc,111319, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1887,45, United-States, >50K\n54, Private,816750, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, United-States, <=50K\n25, Private,167835, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,3325,0,40, United-States, <=50K\n28, Private,92262, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,91964, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,107682, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, State-gov,135388, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n39, Self-emp-not-inc,597843, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, Columbia, <=50K\n19, Private,389942, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,442274, 12th,8, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n23, Private,595461, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n52, Private,284329, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n33, Self-emp-not-inc,127894, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,196899, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Female,0,0,50, Haiti, <=50K\n58, Private,212534, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,71209, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n39, Private,237943, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,70, United-States, >50K\n38, Private,190759, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,100313, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n41, Private,344624, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n27, ?,194024, 9th,5, Separated, ?, Unmarried, White, Female,0,0,50, United-States, <=50K\n19, Private,87497, 11th,7, Never-married, Transport-moving, Other-relative, White, Male,0,0,10, United-States, <=50K\n22, Private,236907, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n59, Private,169639, Assoc-acdm,12, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,105803, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,45, United-States, >50K\n31, Private,149507, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K\n18, Private,294387, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,161708, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n28, Private,282389, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n28, Private,64940, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n49, Private,195727, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,37931, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,170720, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n43, Private,152958, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n28, Private,312372, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,15024,0,40, United-States, >50K\n41, Private,39581, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,24, El-Salvador, <=50K\n50, Private,206862, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n46, Private,216934, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, Portugal, <=50K\n20, Private,143062, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,242391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n28, Private,165030, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n37, Private,199251, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,353012, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K\n66, Private,174491, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n35, ?,333305, Some-college,10, Married-civ-spouse, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,203138, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, United-States, >50K\n25, Private,220220, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K\n55, Federal-gov,305850, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n48, Local-gov,273402, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,40, United-States, <=50K\n56, Private,201344, Some-college,10, Widowed, Craft-repair, Unmarried, White, Female,0,0,38, United-States, <=50K\n47, Self-emp-not-inc,218676, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n55, Self-emp-not-inc,141807, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, State-gov,222434, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,266860, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n40, Private,34113, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male,6849,0,43, United-States, <=50K\n41, Private,159549, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,195248, Some-college,10, Never-married, Sales, Own-child, Other, Female,0,0,20, United-States, <=50K\n52, Private,109413, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n62, Private,195343, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Male,15020,0,50, United-States, >50K\n46, Private,185291, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, >50K\n21, ?,140012, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n35, Self-emp-not-inc,114366, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,169631, HS-grad,9, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,163870, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,3908,0,40, United-States, <=50K\n35, Private,312232, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n46, Private,229737, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, India, >50K\n70, ?,306563, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,161637, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1902,40, Taiwan, >50K\n34, Private,106014, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n21, Private,25265, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K\n29, Private,71860, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n41, Self-emp-inc,94113, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n51, Self-emp-not-inc,208003, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,113550, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Private,83046, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-inc,277488, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,65, United-States, >50K\n19, Private,205830, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, El-Salvador, <=50K\n46, Private,273575, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,40, United-States, >50K\n23, Private,245147, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n49, Private,274720, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,163047, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, State-gov,47902, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n50, Private,128798, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n77, Private,154205, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,10, United-States, <=50K\n27, Private,176683, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K\n29, Self-emp-inc,104737, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n54, Private,349340, Preschool,1, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n39, State-gov,218249, Some-college,10, Separated, Prof-specialty, Unmarried, Black, Female,0,0,37, United-States, <=50K\n32, Private,281540, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n36, Federal-gov,112847, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n24, Local-gov,126613, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n50, Self-emp-not-inc,145419, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7688,0,45, United-States, >50K\n32, Self-emp-not-inc,34572, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K\n26, Private,104045, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, ?,57665, Bachelors,13, Divorced, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,359001, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, <=50K\n47, Private,105273, Bachelors,13, Widowed, Craft-repair, Unmarried, Black, Female,6497,0,40, United-States, <=50K\n31, Private,201122, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,160035, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n50, Private,167886, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,32059, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n59, Self-emp-inc,200453, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,403072, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,37210, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K\n32, Private,199416, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,413227, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n29, ?,188675, Some-college,10, Divorced, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n42, Private,226902, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n37, Private,195189, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Private,116608, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n59, Private,99131, Masters,14, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n32, Private,553405, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,50, United-States, >50K\n52, Local-gov,186117, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, >50K\n29, State-gov,67053, HS-grad,9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Thailand, <=50K\n39, Private,347960, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,14084,0,35, United-States, >50K\n39, Private,325374, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n69, Private,130413, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Female,2346,0,15, United-States, <=50K\n43, Private,111949, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K\n39, Private,278557, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1628,48, United-States, <=50K\n19, Private,194905, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n60, Local-gov,195453, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n51, Private,282549, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,3137,0,40, United-States, <=50K\n75, Private,316119, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,8, United-States, <=50K\n37, State-gov,252939, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, Black, Female,5455,0,40, United-States, <=50K\n24, State-gov,506329, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n20, Private,316043, 11th,7, Never-married, Other-service, Own-child, Black, Male,594,0,20, United-States, <=50K\n58, Federal-gov,319733, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K\n21, State-gov,99199, Masters,14, Never-married, Transport-moving, Own-child, White, Male,0,0,15, United-States, <=50K\n28, Private,204600, HS-grad,9, Separated, Protective-serv, Other-relative, White, Male,0,0,40, United-States, <=50K\n40, Private,173307, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,34446, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n40, Self-emp-not-inc,237293, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,40, United-States, >50K\n41, Private,175642, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Private,203735, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Local-gov,171589, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n26, Private,197967, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K\n29, Private,413297, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,45, Mexico, <=50K\n45, Private,240841, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,152189, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, State-gov,85874, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,176814, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n51, Local-gov,133336, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n22, Private,362623, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n67, ?,37170, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,3, United-States, <=50K\n28, Private,30912, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,35448, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n33, Private,173248, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,35, United-States, <=50K\n37, Private,49626, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,43, United-States, <=50K\n19, Private,102723, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n90, ?,166343, 1st-4th,2, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n35, Private,168322, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,131117, 7th-8th,4, Divorced, Tech-support, Unmarried, White, Female,0,0,38, Columbia, <=50K\n20, ?,210474, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K\n25, Private,110138, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,107452, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n32, Private,160594, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n32, Local-gov,186784, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,5013,0,45, United-States, <=50K\n70, Local-gov,334666, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,12, United-States, <=50K\n65, ?,191380, 10th,6, Married-civ-spouse, ?, Husband, White, Male,9386,0,50, United-States, >50K\n57, Private,104272, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,19491, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,128715, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n34, Private,128063, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K\n26, Self-emp-not-inc,37023, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,78, United-States, <=50K\n44, Private,68748, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n66, Private,140576, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,327435, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,202729, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,277471, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,189670, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,50, United-States, <=50K\n61, Private,204908, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,171841, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,78247, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,68895, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, Mexico, <=50K\n27, Private,56658, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0,0,8, United-States, <=50K\n58, Local-gov,259216, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, State-gov,270278, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,12, Puerto-Rico, <=50K\n56, Private,238806, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,26, United-States, <=50K\n36, Private,111128, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K\n29, Private,119429, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n28, Private,73037, 10th,6, Never-married, Transport-moving, Unmarried, White, Male,0,0,30, United-States, <=50K\n61, Self-emp-not-inc,84409, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n66, Self-emp-not-inc,274451, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, >50K\n31, Private,246439, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298,0,50, United-States, >50K\n21, Private,124242, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n67, Self-emp-not-inc,123393, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,6418,0,58, United-States, >50K\n26, Private,159732, HS-grad,9, Widowed, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,161415, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n33, Private,157568, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,168030, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n59, State-gov,349910, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,10605,0,50, United-States, >50K\n82, Self-emp-inc,130329, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n34, State-gov,56964, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n29, Private,370509, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, France, >50K\n19, Private,106306, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,56480, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,1, United-States, <=50K\n41, Private,115932, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n55, Private,154580, 10th,6, Married-civ-spouse, Other-service, Husband, Black, Male,2580,0,40, United-States, <=50K\n27, Private,404421, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n33, Private,194901, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n43, State-gov,164790, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,50, United-States, >50K\n72, Federal-gov,94242, Some-college,10, Widowed, Tech-support, Not-in-family, White, Female,0,0,16, United-States, <=50K\n68, Self-emp-not-inc,365020, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,160512, HS-grad,9, Separated, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Private,170331, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n30, Private,101266, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,100252, Bachelors,13, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male,99999,0,70, United-States, >50K\n54, Private,217718, 5th-6th,3, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,30, Haiti, <=50K\n32, Private,170154, Assoc-acdm,12, Separated, Exec-managerial, Unmarried, White, Female,25236,0,50, United-States, >50K\n56, Private,105281, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,1974,40, United-States, <=50K\n39, ?,361838, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,6, United-States, >50K\n41, State-gov,283917, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n48, Private,39530, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,212185, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, <=50K\n25, Self-emp-inc,90752, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n31, Private,202450, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1573,40, United-States, <=50K\n32, Private,168138, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,2597,0,48, United-States, <=50K\n51, Private,159755, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n42, Private,191765, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Female,0,2339,40, Trinadad&Tobago, <=50K\n22, ?,210802, Some-college,10, Never-married, ?, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n31, Private,340880, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n43, Self-emp-not-inc,113211, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n42, Private,134509, Some-college,10, Never-married, Transport-moving, Unmarried, Black, Female,0,0,40, United-States, <=50K\n20, State-gov,147280, HS-grad,9, Never-married, Other-service, Other-relative, Other, Male,0,0,40, United-States, <=50K\n40, Private,145441, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n65, Private,398001, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n53, Private,31588, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,52, United-States, >50K\n56, Private,189975, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,60, United-States, >50K\n51, State-gov,231495, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K\n38, ?,121135, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,186916, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n49, Self-emp-inc,213140, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K\n47, Private,176893, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,8614,0,44, United-States, >50K\n22, Private,115244, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n53, Private,313243, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,2444,45, United-States, >50K\n41, Local-gov,169995, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,20, United-States, <=50K\n19, Private,198459, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,2001,40, United-States, <=50K\n27, Local-gov,66824, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,3325,0,43, United-States, <=50K\n48, Self-emp-not-inc,52240, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, >50K\n52, Private,35305, 7th-8th,4, Never-married, Other-service, Own-child, White, Female,0,0,7, United-States, <=50K\n61, State-gov,186451, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n45, Self-emp-not-inc,160724, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,45, China, >50K\n29, Private,210464, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,207685, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,21, United-States, <=50K\n38, Private,233717, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Male,0,0,60, United-States, <=50K\n32, Private,222205, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n37, Private,167613, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,148773, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n62, Local-gov,68268, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,174533, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,273230, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,187502, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,24, United-States, <=50K\n47, Private,209320, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,56841, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n55, Private,254627, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,42703, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Private,374137, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,196385, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,192930, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,10, United-States, <=50K\n39, Private,99527, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,185437, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Female,0,0,55, United-States, <=50K\n43, Private,247162, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Federal-gov,131534, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n18, Private,184693, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, Mexico, <=50K\n27, Private,704108, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,220262, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,95654, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,60, United-States, <=50K\n67, Private,89346, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,94392, 11th,7, Separated, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n21, Private,334113, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Private,32763, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n31, Private,136651, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n51, Self-emp-not-inc,240236, Assoc-acdm,12, Separated, Sales, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n29, Private,53271, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,31493, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, >50K\n32, Private,195891, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n31, Local-gov,209103, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,3464,0,45, United-States, <=50K\n26, Private,211424, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n28, Local-gov,84657, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,151408, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,106819, 7th-8th,4, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,19, United-States, <=50K\n62, Private,132917, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,20, United-States, <=50K\n54, Private,146834, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K\n55, Private,164332, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K\n24, Private,30656, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,20, United-States, <=50K\n27, Private,113501, Masters,14, Never-married, Adm-clerical, Own-child, White, Male,0,0,45, United-States, <=50K\n18, Private,165316, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K\n22, Private,233955, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,14344,0,40, United-States, >50K\n21, Private,126613, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,361280, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,80, Philippines, >50K\n50, ?,123044, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, >50K\n38, Private,165472, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,99452, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,84977, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,240458, 11th,7, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n51, Private,230858, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,60, United-States, >50K\n60, Private,123218, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n62, ?,191118, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,7298,0,40, United-States, >50K\n38, Private,115289, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,373895, Some-college,10, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n43, Private,152617, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n49, State-gov,72619, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n17, Private,41865, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n32, Private,190228, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K\n23, Private,193090, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K\n28, Private,138692, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n83, Self-emp-inc,153183, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2392,55, United-States, >50K\n25, Private,181896, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Private,268183, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,60, United-States, <=50K\n46, Local-gov,213668, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,99369, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,50, United-States, <=50K\n44, Private,104196, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n60, Self-emp-not-inc,176839, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n30, Local-gov,99502, Assoc-voc,11, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n24, Private,183410, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,17, United-States, <=50K\n17, Private,25690, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n76, ?,201986, 11th,7, Widowed, ?, Other-relative, White, Female,0,0,16, United-States, <=50K\n31, Private,188961, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n52, Private,114971, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,121468, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,35, United-States, <=50K\n73, Self-emp-inc,191540, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n38, Private,146398, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,24, United-States, <=50K\n48, Private,193553, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n60, Private,121127, 10th,6, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,389856, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,290504, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n54, State-gov,137065, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n50, Local-gov,212685, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n20, Private,71475, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,111450, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,22, United-States, <=50K\n35, Private,225860, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,129853, 10th,6, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n50, Private,99925, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,32, United-States, <=50K\n58, Private,227800, 1st-4th,2, Separated, Farming-fishing, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n55, State-gov,111130, Assoc-acdm,12, Divorced, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n29, Private,100764, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n47, Private,275095, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,147500, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K\n63, Local-gov,150079, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n27, Private,140863, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n62, ?,199198, 11th,7, Divorced, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n38, Private,193372, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,196771, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,65, United-States, <=50K\n31, Private,231826, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,52, Mexico, <=50K\n40, Federal-gov,196456, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Private,34037, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n52, Private,174964, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,91608, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,403468, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,50, Mexico, <=50K\n33, Private,112900, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n58, Private,242670, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Local-gov,187830, HS-grad,9, Divorced, Tech-support, Unmarried, White, Male,4934,0,36, United-States, >50K\n25, Self-emp-not-inc,368115, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,13550,0,35, United-States, >50K\n54, Private,343242, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,113390, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1740,60, United-States, <=50K\n28, Private,200733, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Self-emp-not-inc,236769, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,22494, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Federal-gov,129379, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,239098, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,167501, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,77146, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n47, Private,82797, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n33, Self-emp-not-inc,134886, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n40, Self-emp-inc,218558, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n38, Private,207568, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K\n26, Private,196899, Assoc-acdm,12, Separated, Craft-repair, Not-in-family, Other, Female,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,200960, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n39, Private,188069, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K\n60, Private,232337, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,98656, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, State-gov,194260, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n49, ?,481987, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,234976, 11th,7, Never-married, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K\n29, Private,349116, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K\n39, Private,175390, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n42, Private,187720, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, ?, >50K\n26, Private,214637, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n27, Private,185127, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Private,98752, 9th,5, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, Local-gov,218382, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n51, Private,153486, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n51, Federal-gov,174102, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,137142, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n61, Private,241013, 7th-8th,4, Widowed, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,267798, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n41, ?,152880, HS-grad,9, Divorced, ?, Not-in-family, Black, Female,0,0,28, United-States, <=50K\n31, Private,263561, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,113324, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n20, Private,39764, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,172186, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,460408, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1672,45, United-States, <=50K\n42, Self-emp-not-inc,185129, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n51, Private,61270, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n39, Self-emp-inc,124685, Masters,14, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,99, Japan, >50K\n69, Self-emp-not-inc,76968, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K\n63, ?,310396, 9th,5, Married-civ-spouse, ?, Husband, White, Male,5178,0,40, United-States, >50K\n29, Federal-gov,37933, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,2174,0,40, United-States, <=50K\n21, Private,38772, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n24, Private,172496, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,55, United-States, <=50K\n55, Private,306164, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,33795, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n48, Private,47686, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n31, Private,193132, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,42, United-States, <=50K\n52, Private,400004, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,101283, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,192384, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,113838, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,278322, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n56, Private,199713, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,236021, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,138938, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K\n36, Private,126946, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,44791, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,31964, 9th,5, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n60, State-gov,352156, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n70, Self-emp-not-inc,205860, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K\n21, Private,113106, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n57, Private,89182, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,250782, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n37, Private,193855, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,50, United-States, <=50K\n50, Self-emp-not-inc,132716, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n68, Private,218637, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,2377,55, United-States, >50K\n28, Private,177955, 11th,7, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Mexico, <=50K\n32, Private,198660, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,207937, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,10520,0,50, United-States, >50K\n18, Private,168740, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n45, Private,199625, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K\n22, Private,213902, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K\n38, Private,208379, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,8, United-States, <=50K\n37, Private,113120, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,57827, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Private,515712, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-inc,54190, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n53, Self-emp-inc,134793, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n18, Private,396270, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K\n30, Private,231620, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n50, Private,174655, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n63, ?,97823, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,344480, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,40, United-States, <=50K\n48, Private,176732, 9th,5, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Private,143932, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,551962, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,50, Peru, <=50K\n30, ?,298577, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n39, Private,257942, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n55, Local-gov,253062, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,193748, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n46, Private,368561, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n50, Private,192964, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,65, United-States, <=50K\n32, Private,217304, Bachelors,13, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n18, Private,120029, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,62124, HS-grad,9, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n50, Private,94885, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n32, Private,192565, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n23, Local-gov,220912, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n26, Private,184120, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n46, Private,140782, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n43, Self-emp-inc,170785, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n32, Private,90705, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n37, State-gov,108293, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K\n48, Private,168283, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,339372, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,1408,40, United-States, <=50K\n43, Private,193672, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,143865, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n30, Private,209317, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, Dominican-Republic, <=50K\n34, State-gov,204461, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,137088, HS-grad,9, Married-civ-spouse, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n41, Private,149102, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n53, Private,182855, 10th,6, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K\n42, Private,572751, Preschool,1, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Nicaragua, <=50K\n18, Private,83451, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n81, Private,98116, Bachelors,13, Widowed, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n40, Private,119225, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,134888, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,35, United-States, <=50K\n20, Private,745817, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,15, United-States, <=50K\n41, Private,88368, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n49, State-gov,122066, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n22, Private,363219, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n46, Private,84402, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n56, Private,34626, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,1980,40, United-States, <=50K\n35, Private,150042, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n34, Private,48014, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n29, Local-gov,177398, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n28, Private,373698, 12th,8, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, ?, <=50K\n35, Private,422933, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K\n29, Private,131088, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,178255, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, Columbia, <=50K\n52, Self-emp-not-inc,129311, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,95, United-States, >50K\n45, Private,473171, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,236985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n35, ?,226379, HS-grad,9, Married-civ-spouse, ?, Other-relative, White, Female,0,0,25, United-States, <=50K\n21, ?,277700, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n35, Private,207568, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,85708, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,98765, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Canada, <=50K\n29, Private,192283, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K\n29, State-gov,271012, 10th,6, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n33, Private,189265, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,321880, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,15, United-States, <=50K\n52, Private,177465, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K\n24, Private,127647, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n32, State-gov,119033, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,289748, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,4650,0,48, United-States, <=50K\n32, Private,209317, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Male,0,0,40, ?, <=50K\n33, Private,284531, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,251120, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K\n28, Private,113870, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n62, Without-pay,170114, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n46, Local-gov,121124, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,15024,0,40, United-States, >50K\n32, Private,328199, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,0,64, United-States, <=50K\n26, Private,206307, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-inc,236021, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n57, Federal-gov,170603, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,74275, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,45, United-States, >50K\n35, Self-emp-not-inc,112271, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n19, Private,118306, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K\n49, Private,126754, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n47, Private,267205, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, ?, >50K\n38, Private,205359, 11th,7, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,32, United-States, <=50K\n30, Private,398662, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,202498, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Columbia, <=50K\n32, Private,105650, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n46, Private,191204, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,56582, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n47, Local-gov,51579, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K\n57, Self-emp-not-inc,152030, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,25, United-States, >50K\n47, Private,227310, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n41, Private,55854, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,56, United-States, >50K\n36, Local-gov,28996, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,160634, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n37, Private,222450, 11th,7, Married-spouse-absent, Other-service, Other-relative, White, Male,0,0,40, El-Salvador, <=50K\n36, Self-emp-inc,180419, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n64, Private,116084, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2635,0,40, United-States, <=50K\n17, Private,202521, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n23, Private,186014, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n40, Private,88368, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,914,0,40, United-States, <=50K\n42, State-gov,190044, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n37, Self-emp-not-inc,35330, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,42, United-States, <=50K\n35, Federal-gov,84848, Some-college,10, Never-married, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,176280, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K\n52, Private,145271, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n37, Local-gov,108320, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n48, State-gov,106377, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K\n24, Private,258730, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,40, Japan, <=50K\n33, Private,58305, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,341672, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n34, Private,176648, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,42, United-States, <=50K\n24, ?,32616, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,481175, Some-college,10, Never-married, Exec-managerial, Own-child, Other, Male,0,0,24, Peru, <=50K\n49, Private,187454, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,99999,0,65, United-States, >50K\n18, Private,25837, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K\n20, Private,385077, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Private,68985, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n19, Private,181572, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,23698, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, >50K\n34, ?,268127, 12th,8, Separated, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,162298, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,144608, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,250630, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n31, Private,150441, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n37, Private,189251, Doctorate,16, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n64, Private,260082, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Columbia, <=50K\n42, Private,139126, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,50132, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n36, Self-emp-not-inc,167691, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K\n36, Private,77820, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,156513, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n46, Private,248059, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3464,0,40, United-States, <=50K\n24, Private,283092, 11th,7, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,35, Jamaica, <=50K\n22, Private,175883, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n62, Private,232308, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,269991, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Puerto-Rico, <=50K\n20, Private,305446, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n47, Private,120781, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,15024,0,40, ?, >50K\n57, Private,78707, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,351802, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,35, United-States, <=50K\n37, Local-gov,196529, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n35, Self-emp-inc,175769, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n17, Private,153021, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n36, Local-gov,331902, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n50, Private,279461, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,145704, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,3942,0,35, United-States, <=50K\n27, State-gov,205499, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,77, United-States, <=50K\n28, Private,293926, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,30, United-States, <=50K\n29, Self-emp-not-inc,69132, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,99999,0,60, United-States, >50K\n25, Private,113099, HS-grad,9, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n47, Self-emp-inc,206947, Assoc-acdm,12, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,67, United-States, <=50K\n29, State-gov,159782, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n19, Private,410543, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Private,34446, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,209101, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, >50K\n43, Federal-gov,95902, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,214323, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,236323, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Federal-gov,201127, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,56, United-States, >50K\n40, Private,142886, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,77313, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n17, ?,212125, 10th,6, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n36, Private,187098, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,196857, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n53, Local-gov,155314, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n72, Self-emp-not-inc,203289, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n46, Private,117059, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n33, Private,178587, Some-college,10, Separated, Prof-specialty, Unmarried, White, Female,0,0,37, United-States, <=50K\n22, Private,82393, 9th,5, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n17, ?,145258, 11th,7, Never-married, ?, Other-relative, White, Female,0,0,25, United-States, <=50K\n41, Private,185145, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, ?, >50K\n46, Private,72896, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K\n33, Private,134886, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n32, Private,223212, Preschool,1, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n52, Self-emp-not-inc,174752, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,230563, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n48, State-gov,353824, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K\n22, Private,117363, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n25, Private,285367, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K\n60, ?,139391, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,42, United-States, <=50K\n38, Private,198170, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,38948, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n49, Private,188515, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,177810, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n48, Private,188432, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,46, United-States, >50K\n31, Private,178506, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,129298, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,165315, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,37, United-States, <=50K\n68, Private,117236, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,45, United-States, >50K\n18, ?,172214, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,20, United-States, <=50K\n19, Private,63434, 12th,8, Never-married, Farming-fishing, Own-child, White, Female,0,0,30, United-States, <=50K\n35, Self-emp-inc,140854, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n28, Private,133043, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n53, Private,113176, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,2597,0,40, United-States, <=50K\n33, Private,259301, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,41, United-States, <=50K\n20, Private,196643, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,364365, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n36, Private,269318, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,108454, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n32, Private,171637, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,183589, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,25, United-States, <=50K\n24, Private,107801, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,179877, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,168981, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K\n37, Private,120590, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n31, Private,310773, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,40, Mexico, <=50K\n21, Private,197050, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n47, Private,159726, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,85, United-States, >50K\n23, Private,210797, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,55291, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n60, ?,141221, Bachelors,13, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,2163,25, South, <=50K\n17, Private,276718, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n67, Private,336163, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,24, United-States, <=50K\n57, Private,112840, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n17, Private,165918, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, Peru, <=50K\n53, Private,165745, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Self-emp-not-inc,259299, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,50, United-States, >50K\n24, State-gov,197731, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,49, United-States, >50K\n48, Self-emp-not-inc,197702, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,162238, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,47, United-States, >50K\n38, Private,213260, HS-grad,9, Separated, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n51, Private,53833, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,46, United-States, >50K\n18, Private,89419, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,10, United-States, <=50K\n23, Private,119704, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,433170, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n34, Private,182714, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,35, ?, <=50K\n39, Private,172538, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n20, ?,220115, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,12, United-States, <=50K\n39, Private,158956, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n21, Self-emp-not-inc,25631, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,476558, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n54, Federal-gov,35576, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,203463, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, State-gov,317647, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,170411, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n24, ?,174182, 11th,7, Married-civ-spouse, ?, Wife, Other, Female,0,0,24, United-States, <=50K\n54, Private,220055, Bachelors,13, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n54, Private,231482, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n67, Private,335979, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,991,0,18, United-States, <=50K\n33, Private,279173, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n37, Private,89559, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n47, Private,161950, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,25, Germany, <=50K\n51, Private,131068, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,219632, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,175507, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n58, Self-emp-inc,182062, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,24, United-States, >50K\n27, Private,287476, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,3325,0,40, United-States, <=50K\n36, Private,206253, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,1617,40, United-States, <=50K\n20, ?,189203, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,21698, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,328051, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n32, Private,356689, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,3887,0,40, United-States, <=50K\n59, Private,121865, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,420986, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n43, ?,218558, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,288992, 10th,6, Divorced, Prof-specialty, Unmarried, White, Male,14344,0,68, United-States, >50K\n20, ?,189740, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,32, United-States, <=50K\n29, Local-gov,188909, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,42, United-States, <=50K\n28, Private,213081, 11th,7, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K\n18, Self-emp-not-inc,157131, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n49, Private,98010, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n46, Private,207677, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n58, ?,361870, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,30, United-States, <=50K\n56, Private,266091, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Mexico, <=50K\n41, Private,106627, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,50, United-States, <=50K\n50, Self-emp-inc,167793, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,60, United-States, >50K\n74, Self-emp-not-inc,206682, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1648,35, United-States, <=50K\n30, Private,243165, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,201928, HS-grad,9, Widowed, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n19, Private,128346, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,197288, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n20, ?,169184, Some-college,10, Never-married, ?, Other-relative, Black, Female,0,0,40, United-States, <=50K\n36, Private,245521, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, Mexico, <=50K\n36, Private,129591, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,47415, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1628,30, United-States, <=50K\n37, Self-emp-not-inc,188563, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,50, United-States, >50K\n29, Self-emp-not-inc,184710, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,63734, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n18, Private,111256, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n40, Self-emp-inc,111483, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Self-emp-inc,266639, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,93853, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n32, Private,184207, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,238002, 9th,5, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0,0,40, Mexico, <=50K\n28, ?,30237, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,196545, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1902,40, United-States, >50K\n47, Private,144844, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,280500, Some-college,10, Never-married, Tech-support, Own-child, Black, Female,0,0,40, United-States, <=50K\n73, ?,135601, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K\n37, Private,409189, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, Mexico, <=50K\n50, Private,23686, Some-college,10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, >50K\n19, Private,229756, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K\n32, Local-gov,95530, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n44, Local-gov,73199, Assoc-voc,11, Divorced, Tech-support, Unmarried, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n20, Private,196745, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n29, Private,79481, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, ?,116934, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,100950, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, Germany, <=50K\n44, Local-gov,56651, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, <=50K\n18, Private,186954, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n22, Private,264874, Some-college,10, Never-married, Tech-support, Other-relative, White, Female,0,0,40, United-States, <=50K\n39, State-gov,183092, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n26, Local-gov,273399, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, Peru, <=50K\n29, ?,142443, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n21, Private,177526, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Local-gov,31267, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,321666, Assoc-acdm,12, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K\n26, Private,331861, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, ?, <=50K\n25, Private,283515, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, <=50K\n30, Private,54608, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,162238, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n30, Private,175931, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,236804, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,168782, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,227065, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n46, Self-emp-inc,285335, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n31, Private,259705, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Female,0,0,40, United-States, <=50K\n57, Private,24384, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K\n58, Private,322013, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,49797, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,52566, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,266275, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n72, Self-emp-not-inc,285408, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2246,28, United-States, >50K\n26, Self-emp-not-inc,177858, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,1876,38, United-States, <=50K\n45, Federal-gov,183804, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Private,107231, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n23, Private,173679, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Local-gov,163965, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n18, Private,173585, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, Peru, <=50K\n27, Private,172009, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,44363, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,35, United-States, <=50K\n45, Private,246392, HS-grad,9, Never-married, Priv-house-serv, Unmarried, Black, Female,0,0,30, United-States, <=50K\n53, Private,167033, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n54, Private,143822, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n41, Private,37869, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n23, Private,447488, 9th,5, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,35, Mexico, <=50K\n17, Private,239346, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K\n42, Private,245975, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,34632, 12th,8, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,121362, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,2258,38, United-States, >50K\n21, State-gov,24008, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n44, Private,165492, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,326048, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Male,0,0,44, United-States, <=50K\n46, Private,250821, Prof-school,15, Divorced, Farming-fishing, Unmarried, White, Male,0,0,48, United-States, <=50K\n37, Self-emp-not-inc,154641, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,86, United-States, <=50K\n35, Private,198202, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,54, United-States, <=50K\n27, Local-gov,170504, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,191342, Some-college,10, Never-married, Sales, Not-in-family, Other, Male,0,0,40, India, <=50K\n19, Private,238969, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K\n63, Self-emp-not-inc,344128, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n69, ?,148694, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n69, ?,180187, Assoc-acdm,12, Widowed, ?, Not-in-family, White, Female,0,0,6, Italy, <=50K\n36, State-gov,168894, Assoc-voc,11, Married-spouse-absent, Protective-serv, Own-child, White, Female,0,0,40, Germany, <=50K\n20, Private,203263, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n28, State-gov,89564, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K\n58, Private,97562, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,38, United-States, <=50K\n48, Private,336540, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,139647, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,56, United-States, <=50K\n38, Private,160192, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,44, United-States, <=50K\n50, Local-gov,320386, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,32126, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,275445, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K\n38, Self-emp-inc,54953, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K\n54, Private,103580, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, >50K\n42, Private,245565, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,12, England, <=50K\n32, Private,39223, 10th,6, Separated, Craft-repair, Unmarried, Black, Female,0,0,40, ?, <=50K\n55, State-gov,117357, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,70, ?, >50K\n63, Private,207385, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n21, Private,355287, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,48, Mexico, <=50K\n62, ?,141218, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K\n46, Local-gov,207677, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,102114, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,60269, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n37, Private,278632, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,355551, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,0,0,45, Mexico, <=50K\n45, Private,246891, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,72, Canada, >50K\n19, Private,124486, 12th,8, Never-married, Other-service, Own-child, White, Male,0,1602,20, United-States, <=50K\n61, ?,202106, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,1902,40, United-States, >50K\n61, Private,191417, 9th,5, Widowed, Exec-managerial, Not-in-family, Black, Male,0,0,65, United-States, <=50K\n21, Private,184543, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,122206, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,229015, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,130067, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n40, Local-gov,306495, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n32, Private,232855, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n55, Local-gov,171328, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n64, Private,144182, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,23, United-States, <=50K\n34, Private,102858, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n19, ?,199495, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K\n58, Private,209438, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,74895, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,55, United-States, <=50K\n44, Private,184378, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,446512, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Federal-gov,113688, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,333305, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,45, United-States, >50K\n19, Private,118535, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,18, United-States, <=50K\n56, Private,76142, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n53, Local-gov,38795, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n68, Private,208478, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,18, ?, <=50K\n69, Private,203313, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,991,0,18, United-States, <=50K\n62, Private,247483, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n62, State-gov,198686, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,56118, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Federal-gov,359808, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,231554, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,50, United-States, <=50K\n33, Private,34848, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,199934, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,7298,0,40, United-States, >50K\n29, Private,196243, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Self-emp-inc,66360, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,6418,0,35, United-States, >50K\n18, Private,189487, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n22, Private,194848, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,167309, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,40, United-States, >50K\n44, Private,192878, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,70209, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K\n52, Federal-gov,123011, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n53, Self-emp-not-inc,135339, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7688,0,20, China, >50K\n48, Federal-gov,497486, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,1471,0,40, United-States, <=50K\n25, Private,178478, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Private,149909, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n37, Private,103323, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, Private,239404, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,45, United-States, <=50K\n67, Private,165082, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n36, Private,389725, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n47, Private,374580, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,52, United-States, <=50K\n36, ?,187983, HS-grad,9, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,259300, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,16, United-States, <=50K\n19, Private,277695, 9th,5, Never-married, Farming-fishing, Other-relative, White, Male,0,0,16, Mexico, <=50K\n24, Private,230248, 7th-8th,4, Separated, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,196342, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K\n17, Private,160968, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,16, United-States, <=50K\n28, Private,115438, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,231043, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,3908,0,45, United-States, <=50K\n35, Private,129597, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,46, United-States, <=50K\n24, Local-gov,387108, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K\n43, Private,105936, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n20, Private,107242, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, ?, <=50K\n55, Private,125000, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K\n22, Private,229456, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,35, United-States, <=50K\n20, Private,230113, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K\n44, Private,106698, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,133454, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,295520, 9th,5, Widowed, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K\n26, Private,151551, Some-college,10, Separated, Sales, Own-child, Amer-Indian-Eskimo, Male,2597,0,48, United-States, <=50K\n58, Private,100313, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,40, United-States, >50K\n23, Private,320294, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,162381, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,183898, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,2354,0,40, United-States, <=50K\n41, Self-emp-inc,32016, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,62, United-States, <=50K\n31, Private,117028, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,280278, HS-grad,9, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n57, Private,342906, 9th,5, Married-civ-spouse, Sales, Husband, Black, Male,0,0,55, United-States, >50K\n25, Private,181598, 11th,7, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,224059, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,148549, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n34, Private,97355, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n37, Private,154571, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n43, Self-emp-inc,140988, Bachelors,13, Married-civ-spouse, Sales, Other-relative, Asian-Pac-Islander, Male,0,0,45, India, <=50K\n20, Private,148409, Some-college,10, Never-married, Sales, Other-relative, White, Male,1055,0,20, United-States, <=50K\n40, Local-gov,150755, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,75, United-States, >50K\n27, Private,87006, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1579,40, United-States, <=50K\n35, Private,112158, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,121488, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, State-gov,283635, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,69758, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n40, Private,199900, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,55, United-States, >50K\n54, Private,88019, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K\n28, Private,31935, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,323055, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,189498, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,89041, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,112507, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n19, Private,236940, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,278514, HS-grad,9, Divorced, Craft-repair, Own-child, White, Female,0,0,42, United-States, <=50K\n21, ?,433330, Some-college,10, Never-married, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n25, Private,258379, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,32, United-States, <=50K\n44, Private,162028, 11th,7, Divorced, Sales, Unmarried, White, Female,0,0,44, United-States, <=50K\n20, Private,197997, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,98350, 10th,6, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,37, China, <=50K\n39, Private,165848, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,178615, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,228939, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n27, Private,210498, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n53, Private,154891, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,165937, Assoc-voc,11, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n23, ?,138768, Bachelors,13, Never-married, ?, Own-child, White, Male,2907,0,40, United-States, <=50K\n39, Private,160120, Some-college,10, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n30, Private,382368, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,123011, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n33, Private,119033, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,496856, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n44, Private,194049, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K\n30, Private,299223, Some-college,10, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n66, Private,174788, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n39, Private,176101, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,38948, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,271933, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, United-States, <=50K\n17, Private,122041, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n43, Private,115932, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K\n46, Private,265105, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,100828, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n60, Private,121319, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,40, Poland, <=50K\n63, Private,308028, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,5013,0,40, United-States, <=50K\n42, Private,213214, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,348618, 9th,5, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K\n33, Private,275632, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,239161, Some-college,10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n20, Private,215495, 9th,5, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, Mexico, <=50K\n30, Private,214063, Some-college,10, Never-married, Farming-fishing, Other-relative, Black, Male,0,0,72, United-States, <=50K\n37, Private,122493, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n33, ?,211699, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,175622, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n65, Private,153522, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,17, United-States, <=50K\n35, Private,258339, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n27, Private,119793, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,133503, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1977,45, United-States, >50K\n18, Private,162840, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Local-gov,67671, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,188888, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1340,40, United-States, <=50K\n45, Private,140644, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,126154, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,245659, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,38, El-Salvador, <=50K\n28, Private,129624, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, ?, <=50K\n47, Private,104068, HS-grad,9, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n30, Private,337908, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,20, United-States, <=50K\n36, Private,161141, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,162228, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n44, Private,116391, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,314310, HS-grad,9, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K\n61, ?,394534, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,6, United-States, <=50K\n29, Private,308136, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,194698, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n18, ?,67793, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,60, United-States, <=50K\n29, Local-gov,302422, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,1564,56, United-States, >50K\n27, Private,289147, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,229826, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,20, United-States, <=50K\n22, ?,154235, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,3781,0,35, United-States, <=50K\n49, Self-emp-inc,246739, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n35, Private,188041, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n47, Private,187440, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n37, Local-gov,105266, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,249208, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K\n26, Private,203492, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, ?,71076, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Federal-gov,146477, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n47, Private,201699, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,5178,0,50, United-States, >50K\n59, Private,205949, HS-grad,9, Separated, Craft-repair, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n70, Private,90245, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,5, United-States, <=50K\n53, Federal-gov,177647, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, France, >50K\n39, Private,126494, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,257735, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,1161363, Some-college,10, Separated, Tech-support, Unmarried, White, Female,0,0,50, Columbia, <=50K\n19, ?,257343, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,221452, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n74, Private,260669, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,1, United-States, <=50K\n40, Private,192344, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,80479, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,108808, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n41, Private,175674, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,272950, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Self-emp-not-inc,160786, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K\n46, Self-emp-not-inc,122206, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,121168, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,209547, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n29, Federal-gov,244473, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n39, Private,176296, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,60, United-States, <=50K\n31, Private,91666, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,60, United-States, <=50K\n50, Local-gov,191025, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,4650,0,70, United-States, <=50K\n31, State-gov,63704, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,31659, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n27, Private,191230, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,25, United-States, <=50K\n28, Private,56340, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n21, Private,221157, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,30, United-States, <=50K\n57, Local-gov,143910, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Local-gov,435836, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, ?,61499, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,209182, Preschool,1, Separated, Other-service, Unmarried, White, Female,0,0,40, El-Salvador, <=50K\n36, Self-emp-inc,107218, Some-college,10, Divorced, Sales, Unmarried, Asian-Pac-Islander, Male,0,0,55, United-States, <=50K\n51, Private,55500, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,357962, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, <=50K\n43, Private,200355, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K\n38, Private,320451, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n51, Local-gov,184542, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n43, State-gov,206927, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,54310, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n35, Private,208165, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n40, Private,146908, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n39, Private,318416, 10th,6, Separated, Other-service, Own-child, Black, Female,0,0,12, United-States, <=50K\n47, Self-emp-inc,207540, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n23, Private,69911, Preschool,1, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n26, Private,305304, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n25, Local-gov,295289, HS-grad,9, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n29, Private,275110, Some-college,10, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,42, United-States, <=50K\n30, Private,339773, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n57, State-gov,399246, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,1485,40, China, <=50K\n37, Self-emp-inc,51264, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,49020, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,3103,0,48, United-States, >50K\n37, Private,178100, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n45, ?,215943, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,176178, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K\n25, State-gov,180884, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n61, State-gov,130466, HS-grad,9, Widowed, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n59, Private,328525, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,2414,0,15, United-States, <=50K\n28, Private,142712, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,176321, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Private,145041, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Cuba, >50K\n29, Private,95423, HS-grad,9, Married-AF-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, <=50K\n49, Self-emp-not-inc,215096, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n41, Local-gov,177599, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K\n33, Private,123920, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n20, ?,201490, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,46990, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,20, United-States, >50K\n32, Private,388672, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,16, United-States, <=50K\n48, Private,149210, Bachelors,13, Divorced, Sales, Not-in-family, Black, Male,0,0,40, United-States, >50K\n24, Private,134787, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,185407, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, >50K\n31, State-gov,86143, HS-grad,9, Never-married, Protective-serv, Other-relative, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n23, Private,41721, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n35, Private,195744, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,96062, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,215150, 9th,5, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n52, Private,270728, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,48, Cuba, <=50K\n44, Private,75012, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K\n43, Private,206139, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n39, Private,50700, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,224258, 7th-8th,4, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Mexico, >50K\n31, Private,240441, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,1564,40, United-States, >50K\n40, Self-emp-not-inc,406811, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n28, Local-gov,34452, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,361341, 12th,8, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,25, Thailand, <=50K\n35, Private,78247, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n44, Private,106900, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n40, Self-emp-not-inc,165108, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, England, <=50K\n20, Private,406641, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n55, Private,171467, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Male,0,0,48, United-States, >50K\n30, Private,341187, 7th-8th,4, Separated, Transport-moving, Not-in-family, White, Male,0,0,35, United-States, <=50K\n38, Private,119177, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n75, Private,104896, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,2653,0,20, United-States, <=50K\n17, Private,342752, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n79, ?,76641, Masters,14, Married-civ-spouse, ?, Husband, White, Male,20051,0,40, Poland, >50K\n20, Private,47541, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n25, Private,233461, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,30, United-States, <=50K\n27, Private,303954, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n19, Private,163015, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n21, Private,75763, Some-college,10, Married-civ-spouse, Sales, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n19, Private,43003, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n42, Private,328239, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,130856, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K\n47, Self-emp-not-inc,190072, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Iran, >50K\n59, Private,170148, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n50, Private,104501, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n48, Self-emp-inc,213140, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K\n33, Local-gov,175509, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,173611, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,148995, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,99999,0,30, United-States, >50K\n24, Private,64520, 7th-8th,4, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,139822, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n24, Private,258700, 5th-6th,3, Never-married, Farming-fishing, Other-relative, Black, Male,0,0,40, Mexico, <=50K\n29, Private,34796, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,124963, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K\n24, Private,65743, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n28, Private,161087, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,45, Jamaica, <=50K\n63, ?,424591, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n36, Federal-gov,203836, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n58, State-gov,110199, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,316059, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,36, United-States, <=50K\n42, Private,255667, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n39, Private,193689, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,60722, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n39, Private,187847, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,233275, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n51, Private,215404, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,15024,0,40, United-States, >50K\n45, Private,201865, Bachelors,13, Married-spouse-absent, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n45, Private,118889, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, State-gov,368739, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,123833, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,1408,40, United-States, <=50K\n38, Private,171344, 11th,7, Married-spouse-absent, Transport-moving, Own-child, White, Male,0,0,36, Mexico, <=50K\n39, Private,153976, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,374883, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n17, Private,167658, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,6, United-States, <=50K\n31, Private,348504, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n22, Private,258509, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,24, United-States, <=50K\n47, State-gov,108890, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,1831,0,38, United-States, <=50K\n28, Private,188236, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, ?,355571, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n41, Private,425049, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n29, Private,142555, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,42, United-States, <=50K\n42, Self-emp-not-inc,29320, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,0,0,60, United-States, >50K\n52, Federal-gov,207841, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,187329, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,270973, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Private,197332, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,46, United-States, >50K\n21, ?,175166, Some-college,10, Never-married, ?, Own-child, White, Female,2176,0,40, United-States, <=50K\n45, Local-gov,160187, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n21, Private,197918, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n74, Private,192290, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,20, United-States, <=50K\n29, Private,241895, HS-grad,9, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,164515, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,147206, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,45, United-States, >50K\n23, Self-emp-inc,306868, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Local-gov,169837, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n61, ?,124648, 10th,6, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,185057, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, >50K\n23, Private,240049, Preschool,1, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Laos, <=50K\n18, Private,164441, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K\n38, Private,179314, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,319854, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,4650,0,35, United-States, <=50K\n19, Self-emp-inc,148955, Some-college,10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,35, South, <=50K\n23, Private,32950, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,4101,0,40, United-States, <=50K\n37, Private,206699, HS-grad,9, Divorced, Tech-support, Own-child, White, Male,0,0,45, United-States, <=50K\n25, Private,385646, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,31438, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,43, ?, <=50K\n45, Private,168598, 12th,8, Married-civ-spouse, Adm-clerical, Wife, Black, Female,3103,0,40, United-States, >50K\n32, Private,97306, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,48, United-States, <=50K\n65, ?,106910, 11th,7, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K\n18, Self-emp-not-inc,29582, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,220284, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, Mexico, <=50K\n29, Private,110226, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,65, ?, <=50K\n53, Private,240914, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,115496, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n27, Private,105817, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n24, State-gov,330836, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,36327, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,33423, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n45, Private,75673, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n36, Private,185744, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, >50K\n36, Private,186035, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n44, Local-gov,196456, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1669,40, United-States, <=50K\n24, Private,111450, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K\n39, Private,115289, Some-college,10, Divorced, Sales, Own-child, White, Male,0,1380,70, United-States, <=50K\n50, Private,74879, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,117312, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,40, United-States, >50K\n58, Private,272902, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Self-emp-inc,220230, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,48, United-States, <=50K\n24, Private,90934, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,55, United-States, <=50K\n52, Self-emp-inc,234286, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n46, Private,364548, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,8614,0,40, United-States, >50K\n50, Self-emp-inc,283676, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K\n34, Private,195602, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n40, Private,70761, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n53, Private,142717, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,124242, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n58, ?,53481, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,70, United-States, <=50K\n26, Private,287797, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n22, Private,188274, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,171968, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n78, ?,74795, Assoc-acdm,12, Widowed, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K\n36, Private,218490, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Germany, >50K\n43, Local-gov,94937, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,28, United-States, <=50K\n60, Private,109511, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n49, Local-gov,269527, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n50, Self-emp-inc,201689, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,63, ?, >50K\n34, Self-emp-not-inc,120672, 7th-8th,4, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,10, United-States, <=50K\n46, Private,130779, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,441542, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n69, Private,114801, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n32, Private,180284, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Local-gov,27444, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n61, Private,180382, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3411,0,45, United-States, <=50K\n56, Private,143266, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,139268, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,126208, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n37, Private,186191, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,46, United-States, <=50K\n51, Private,197163, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,2559,50, United-States, >50K\n44, State-gov,193524, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K\n33, Private,181388, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,124963, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,80, United-States, >50K\n24, Private,188925, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,149230, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,388725, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,113543, Masters,14, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n61, ?,187636, Bachelors,13, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n56, Self-emp-inc,267763, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, <=50K\n69, Federal-gov,143849, 11th,7, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n41, Self-emp-not-inc,97277, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,10, United-States, <=50K\n40, Private,199303, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,124852, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n26, Private,50053, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n53, Private,97005, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, >50K\n90, ?,175444, 7th-8th,4, Separated, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K\n39, Private,337898, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K\n51, Federal-gov,124076, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Federal-gov,277420, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Puerto-Rico, >50K\n51, Private,280278, 10th,6, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n17, Private,241185, 12th,8, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n42, Private,202188, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,1741,50, United-States, <=50K\n42, Private,198422, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,82242, Prof-school,15, Never-married, Prof-specialty, Unmarried, White, Male,27828,0,45, Germany, >50K\n33, Private,178429, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,185866, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, ?, >50K\n43, Private,212847, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n64, Self-emp-not-inc,219661, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,9, United-States, >50K\n40, Private,321856, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, >50K\n21, Private,313873, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n31, Private,144064, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n60, Private,139586, Assoc-voc,11, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, >50K\n32, Private,419691, 12th,8, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n66, ?,212759, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,6767,0,20, United-States, <=50K\n27, Private,195562, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,20, United-States, <=50K\n40, Private,205706, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n27, Private,131310, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K\n18, Private,54440, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n43, Private,200734, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n52, Private,81859, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K\n31, Private,159589, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,85, United-States, <=50K\n28, Private,300915, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n44, Private,185057, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n37, Self-emp-not-inc,42044, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K\n35, Private,166416, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n42, Private,212737, 9th,5, Separated, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n18, Private,236069, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,10, United-States, <=50K\n46, Self-emp-inc,216414, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,1977,60, United-States, >50K\n54, Federal-gov,27432, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,145419, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1672,50, United-States, <=50K\n56, Private,147202, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, Germany, <=50K\n27, Private,29261, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K\n26, Private,359543, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K\n41, Local-gov,227644, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,90021, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, ?, <=50K\n32, Private,188154, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, Private,110142, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n36, Private,186415, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,65, United-States, <=50K\n37, Private,175720, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,172865, 5th-6th,3, Never-married, Farming-fishing, Own-child, White, Male,0,0,25, Mexico, <=50K\n46, Private,35969, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,51, United-States, <=50K\n24, Private,433330, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Self-emp-inc,160261, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,35, Taiwan, <=50K\n55, Private,189528, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n64, Local-gov,113324, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Local-gov,118500, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Private,89681, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,99, United-States, <=50K\n46, Federal-gov,199925, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,102308, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n18, Private,444607, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n32, Private,176998, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n38, ?,94559, Bachelors,13, Married-civ-spouse, ?, Wife, Other, Female,7688,0,50, ?, >50K\n34, State-gov,366198, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Germany, >50K\n35, Private,180686, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,40, United-States, <=50K\n26, Private,108019, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,3325,0,40, United-States, <=50K\n24, Private,153542, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,35, United-States, <=50K\n45, Self-emp-not-inc,210364, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,80, United-States, >50K\n36, Private,185394, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,34, United-States, <=50K\n44, Private,222703, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Nicaragua, <=50K\n23, Private,183945, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n57, Private,161964, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n41, Self-emp-not-inc,375574, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Mexico, >50K\n20, Local-gov,312427, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,30, Puerto-Rico, <=50K\n32, Private,53373, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K\n60, Private,166330, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,99999,0,40, United-States, >50K\n38, Self-emp-inc,124665, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Female,0,0,20, United-States, <=50K\n29, Private,146719, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,0,0,45, United-States, <=50K\n22, Private,306593, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,156687, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,30, India, <=50K\n40, Local-gov,153489, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Male,3137,0,40, United-States, <=50K\n59, Private,231377, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,45, United-States, >50K\n45, State-gov,127089, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n76, Local-gov,329355, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,13, United-States, <=50K\n45, Private,178319, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n49, Local-gov,304246, Masters,14, Separated, Prof-specialty, Unmarried, White, Female,0,0,70, United-States, <=50K\n36, Local-gov,174640, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, Black, Female,0,0,60, United-States, >50K\n22, Private,148294, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n47, Private,298037, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,44, United-States, <=50K\n26, Private,98155, HS-grad,9, Married-AF-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n21, Private,102766, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,78529, HS-grad,9, Never-married, Transport-moving, Own-child, White, Female,0,0,15, United-States, <=50K\n26, Private,136309, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,275357, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,25, United-States, <=50K\n31, Self-emp-not-inc,33117, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, England, <=50K\n57, Local-gov,199546, Masters,14, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n39, Private,184128, 11th,7, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n36, Private,337039, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, Black, Male,14344,0,40, England, >50K\n66, Private,126511, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n34, Local-gov,325792, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n80, ?,91901, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n21, Private,119474, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n40, Private,153238, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,32, United-States, >50K\n49, Local-gov,321851, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n48, Self-emp-not-inc,108557, Some-college,10, Divorced, Sales, Not-in-family, White, Female,3325,0,60, United-States, <=50K\n19, State-gov,67217, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,594,0,24, United-States, <=50K\n42, Private,195508, 11th,7, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n59, Private,102193, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n63, Private,20323, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,122206, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n41, Private,200652, 9th,5, Divorced, Other-service, Other-relative, White, Female,0,0,35, United-States, <=50K\n42, Private,173590, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1628,40, United-States, <=50K\n19, Private,184121, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n45, Local-gov,53123, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, <=50K\n47, Private,175990, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, >50K\n47, Private,316101, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,34080, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, England, <=50K\n49, Self-emp-not-inc,219718, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n36, Private,126954, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,99185, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, >50K\n21, ?,40052, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,2001,45, United-States, <=50K\n39, Private,120074, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,77336, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,60981, Some-college,10, Never-married, Sales, Own-child, White, Female,2176,0,35, United-States, <=50K\n59, Private,77884, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n50, Private,65408, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,173279, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n52, ?,318351, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K\n41, Self-emp-not-inc,157686, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,277434, Assoc-acdm,12, Widowed, Tech-support, Unmarried, White, Male,0,0,40, United-States, >50K\n54, Local-gov,184620, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,34443, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,25, United-States, <=50K\n50, Private,268553, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,40, United-States, >50K\n20, ?,41356, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Female,0,0,32, United-States, <=50K\n43, Private,459342, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Local-gov,148549, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,254293, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,2174,0,45, United-States, <=50K\n54, Private,104501, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n26, Private,238367, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,180439, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n51, Self-emp-inc,100029, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n54, Private,215990, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,44, United-States, >50K\n32, State-gov,111567, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,49, United-States, >50K\n46, Private,319163, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n60, ?,160155, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,12, United-States, <=50K\n52, Local-gov,378045, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n44, Private,177083, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Self-emp-inc,119891, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,40, United-States, <=50K\n57, Private,127779, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,299353, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n30, Private,63861, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,112403, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,35, United-States, <=50K\n49, Private,83610, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,66, United-States, >50K\n28, Private,452808, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,176871, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n45, Private,100651, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,1980,40, United-States, <=50K\n17, Private,266134, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n54, Local-gov,196307, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,87891, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,182314, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n55, ?,136819, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,181666, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,40, ?, <=50K\n37, Private,179671, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,27494, HS-grad,9, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,48, United-States, >50K\n38, Private,338320, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Canada, <=50K\n51, Private,199688, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n41, Private,96635, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,60, United-States, <=50K\n24, Private,165064, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-inc,109856, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n33, Private,82393, HS-grad,9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n31, Private,209538, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,209891, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n32, Self-emp-not-inc,56026, Bachelors,13, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,45, United-States, <=50K\n35, Private,210844, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n43, Private,117158, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n40, Private,193144, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K\n19, Self-emp-not-inc,137578, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,53, United-States, <=50K\n23, Private,234108, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,32, United-States, <=50K\n40, Private,155767, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n59, Private,110820, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, >50K\n43, Private,403276, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,147269, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, ?, <=50K\n53, Private,123092, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,165673, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n68, Self-emp-inc,182131, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,10605,0,20, United-States, >50K\n41, Private,204415, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K\n32, Self-emp-not-inc,92531, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n25, State-gov,157028, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,228649, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,147253, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,15, United-States, <=50K\n33, Private,160784, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Local-gov,163189, Some-college,10, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n29, Private,146343, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K\n20, Private,225811, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,23, United-States, <=50K\n68, State-gov,202699, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2377,42, ?, >50K\n58, Private,374108, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,93930, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,412248, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n30, Private,427474, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n67, State-gov,160158, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,8, United-States, <=50K\n26, Private,159603, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K\n53, Self-emp-not-inc,101017, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n27, Local-gov,163862, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n29, Without-pay,212588, Some-college,10, Married-civ-spouse, Farming-fishing, Own-child, White, Male,0,0,65, United-States, <=50K\n38, State-gov,321943, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,317702, 9th,5, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n48, Private,287480, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,135607, Some-college,10, Widowed, Other-service, Unmarried, Black, Female,0,0,40, ?, <=50K\n28, Private,168514, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n18, Private,88642, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n28, Private,227104, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n34, Private,157289, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,213321, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,294907, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n30, Private,251411, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,183594, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,189565, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,2174,0,50, United-States, <=50K\n55, Private,217802, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,25, United-States, <=50K\n20, Private,388156, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,24, United-States, <=50K\n54, Private,447555, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,204098, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n43, Private,193882, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,55, United-States, <=50K\n17, ?,89870, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n48, State-gov,49595, Masters,14, Divorced, Protective-serv, Not-in-family, White, Male,0,0,72, United-States, <=50K\n34, Private,228873, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n66, ?,108185, 9th,5, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Private,176027, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, ?,405374, Some-college,10, Separated, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n37, Private,39606, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n56, Private,178353, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n58, Private,160662, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n54, Self-emp-inc,196328, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, Jamaica, <=50K\n45, Private,20534, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,41, United-States, <=50K\n29, Self-emp-inc,156815, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,360252, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n43, Private,245056, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n33, Local-gov,422718, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,118081, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,3103,0,42, United-States, <=50K\n25, Private,262978, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n25, Private,187577, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n69, ?,259323, Prof-school,15, Divorced, ?, Not-in-family, White, Male,0,0,5, United-States, <=50K\n37, Private,160920, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,194247, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K\n39, Private,134367, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,24, United-States, >50K\n17, Private,123335, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n27, Local-gov,332249, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,358124, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K\n55, Private,208019, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n39, Private,318452, 11th,7, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n41, Private,207779, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,238376, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n51, Private,673764, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n67, State-gov,239705, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,12, ?, <=50K\n40, Private,133974, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n58, Private,138285, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n23, Private,152140, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Local-gov,287920, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n51, Private,289572, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n43, State-gov,78765, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n25, State-gov,99076, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,2597,0,50, United-States, <=50K\n36, Self-emp-not-inc,224886, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,2407,0,40, United-States, <=50K\n58, Private,206532, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,129529, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Local-gov,202473, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,162312, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n45, Private,72844, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,46, United-States, <=50K\n49, Private,206947, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,64112, 12th,8, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, State-gov,20057, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,38, Philippines, <=50K\n42, State-gov,222884, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,132683, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,50, United-States, <=50K\n73, ?,177773, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K\n59, Self-emp-not-inc,144071, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,2580,0,15, El-Salvador, <=50K\n28, Private,148429, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2885,0,40, United-States, <=50K\n19, Private,168601, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K\n31, State-gov,78291, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Federal-gov,243929, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K\n21, Private,215039, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,13, ?, <=50K\n47, Self-emp-not-inc,185673, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n30, Private,121142, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K\n41, Private,173858, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n59, ?,87247, 10th,6, Divorced, ?, Not-in-family, White, Female,0,0,40, England, <=50K\n43, Private,334991, Some-college,10, Separated, Transport-moving, Unmarried, White, Male,4934,0,51, United-States, >50K\n48, Private,93476, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,2001,40, United-States, <=50K\n44, Private,174283, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n44, Private,128676, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n24, Private,205844, Bachelors,13, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K\n28, Private,62535, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K\n50, Private,240612, HS-grad,9, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,10, United-States, <=50K\n33, Private,176992, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Local-gov,254127, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Female,0,0,50, United-States, <=50K\n30, ?,138744, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,128460, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n21, State-gov,56582, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,10, United-States, <=50K\n52, Private,153751, 9th,5, Separated, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n26, Private,284343, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n27, State-gov,312692, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,12, United-States, <=50K\n28, Private,111520, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Nicaragua, <=50K\n50, Self-emp-inc,304955, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n28, Private,288598, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n61, Self-emp-not-inc,117387, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n32, Private,230484, 7th-8th,4, Separated, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n30, Federal-gov,319280, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,186416, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Local-gov,147372, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,2444,40, United-States, >50K\n36, Private,145933, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,2258,70, United-States, <=50K\n28, Private,110164, Some-college,10, Divorced, Other-service, Other-relative, Black, Male,0,0,24, United-States, <=50K\n49, Private,225454, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n61, Self-emp-not-inc,220342, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n41, Self-emp-not-inc,144002, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n55, Private,225365, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n36, Private,187983, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n21, Private,89991, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,225913, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n49, Self-emp-inc,229737, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,37, United-States, >50K\n59, Private,145574, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,274363, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,80, United-States, >50K\n59, Private,365390, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,266467, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n42, Private,183384, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n41, Local-gov,112797, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K\n45, Federal-gov,76008, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n36, Private,156780, HS-grad,9, Never-married, Sales, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K\n42, Local-gov,186909, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K\n25, Private,25497, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,102771, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K\n58, Self-emp-not-inc,248841, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n39, Private,30916, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,123270, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n22, Self-emp-not-inc,210165, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,222596, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,0,0,50, United-States, >50K\n53, Self-emp-inc,188067, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,119592, Assoc-acdm,12, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,2824,40, ?, >50K\n27, Private,250314, 9th,5, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Guatemala, <=50K\n60, Private,205934, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n46, Private,186172, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K\n56, Self-emp-inc,98418, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K\n36, Private,329980, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,27828,0,40, United-States, >50K\n56, Private,147653, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K\n35, ?,195946, Some-college,10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n29, Self-emp-inc,168221, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1740,70, United-States, <=50K\n19, Private,151801, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,39, United-States, <=50K\n38, Private,177154, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n40, Federal-gov,73883, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,175714, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n22, Private,43535, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n32, State-gov,104509, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n27, Private,118230, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,152046, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, Guatemala, <=50K\n36, Private,52327, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,40, Iran, >50K\n22, Private,218886, 12th,8, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,84119, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n37, Private,189674, Bachelors,13, Separated, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n22, Private,222993, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,54, United-States, <=50K\n29, Private,47429, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n42, Private,144995, Preschool,1, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,25, United-States, <=50K\n45, Private,187969, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K\n33, Private,288398, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n39, Private,114591, Some-college,10, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,167737, 12th,8, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n53, Local-gov,248834, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n30, Private,165686, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,40200, Some-college,10, Widowed, Craft-repair, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n43, Self-emp-inc,117158, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K\n47, Local-gov,216657, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, >50K\n61, Private,124242, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, India, <=50K\n39, Local-gov,239119, Masters,14, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, Dominican-Republic, <=50K\n47, Private,190072, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K\n19, Private,378114, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K\n37, Private,236990, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464,0,40, United-States, <=50K\n31, Private,101761, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,51, United-States, <=50K\n69, Self-emp-not-inc,37745, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,8, United-States, <=50K\n22, ?,424494, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n29, Private,130438, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,100605, Some-college,10, Never-married, Machine-op-inspct, Own-child, Other, Male,0,0,14, United-States, <=50K\n42, Private,220776, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,40, Poland, <=50K\n30, Local-gov,154950, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K\n28, Private,192283, Masters,14, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,80, United-States, >50K\n27, Private,210765, Assoc-voc,11, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,147476, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n35, State-gov,193241, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1651,40, United-States, <=50K\n22, Private,109053, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,265618, HS-grad,9, Separated, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K\n38, Local-gov,172855, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,1887,40, United-States, >50K\n27, Private,68848, Bachelors,13, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n30, Private,229051, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,37, United-States, <=50K\n27, Private,106039, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Female,0,0,50, United-States, <=50K\n25, Private,112835, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, ?,205396, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K\n32, Private,283400, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n70, Private,195739, 10th,6, Widowed, Craft-repair, Unmarried, White, Male,0,0,45, United-States, <=50K\n50, Private,36480, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,303291, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K\n34, Private,293900, 11th,7, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male,0,0,55, United-States, <=50K\n57, Self-emp-not-inc,165922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,65738, Masters,14, Never-married, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K\n49, Private,175070, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,339814, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K\n26, Private,150132, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n31, Private,377374, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, Japan, <=50K\n60, Self-emp-not-inc,166153, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,110171, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n26, Private,94477, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,55, United-States, >50K\n27, Private,194243, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,106347, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n59, Private,214865, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n19, ?,185619, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n18, Private,96445, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n22, Private,102632, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n24, Private,209034, Assoc-acdm,12, Married-civ-spouse, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n53, State-gov,153486, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,144371, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,42, United-States, >50K\n24, Private,186213, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n60, Private,188236, 10th,6, Widowed, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,418405, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Federal-gov,125796, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n32, Private,183304, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, >50K\n34, Private,329587, 10th,6, Separated, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n35, Local-gov,182570, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,446654, 9th,5, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n34, Self-emp-not-inc,254304, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,4508,0,90, United-States, <=50K\n53, Local-gov,131258, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n23, Private,103632, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,241895, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,244945, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,20795, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n17, Private,347322, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n53, Local-gov,103995, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,1876,54, United-States, <=50K\n32, Private,53206, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n43, ?,387839, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,40, United-States, <=50K\n18, Private,57108, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,16, United-States, <=50K\n62, Private,177791, 10th,6, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Private,33794, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,249935, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K\n73, Self-emp-not-inc,241121, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n64, Private,98586, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n26, Private,181920, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n23, Private,434467, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K\n30, Private,113364, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Vietnam, <=50K\n51, Private,249706, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,95455, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K\n39, Private,209867, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,13550,0,45, United-States, >50K\n35, Self-emp-inc,79586, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K\n41, Private,289669, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,347166, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,4650,0,40, United-States, <=50K\n40, Private,53835, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n46, Local-gov,14878, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n31, Private,266126, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n41, Self-emp-inc,146659, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Honduras, <=50K\n42, Private,125280, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137,0,40, United-States, <=50K\n23, Private,173535, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n21, ?,77665, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K\n49, Private,280525, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n53, Private,479621, Assoc-voc,11, Divorced, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n38, Local-gov,194630, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,4787,0,43, United-States, >50K\n36, Private,247600, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, Taiwan, <=50K\n32, Private,258406, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,72, Mexico, <=50K\n20, Private,107746, 11th,7, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, Guatemala, <=50K\n17, ?,47407, 11th,7, Never-married, ?, Own-child, White, Male,0,0,10, United-States, <=50K\n22, Private,229987, Some-college,10, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Female,0,0,32, United-States, <=50K\n25, Private,312338, Assoc-voc,11, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n58, Private,225394, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, <=50K\n24, Private,373718, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K\n48, State-gov,120131, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,8614,0,40, United-States, >50K\n20, Private,472789, 1st-4th,2, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,30, El-Salvador, <=50K\n60, Self-emp-not-inc,27886, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,138352, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K\n52, Private,123011, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n36, Private,306567, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, >50K\n46, Local-gov,187749, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n22, Private,260594, 11th,7, Never-married, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K\n19, Private,236879, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,35, United-States, <=50K\n37, Private,186808, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n30, Private,373213, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, >50K\n44, Private,187629, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,25, United-States, <=50K\n63, ?,106648, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n22, Private,305781, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,45, Canada, <=50K\n31, Self-emp-inc,256362, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,3908,0,50, United-States, <=50K\n17, Private,239947, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,349041, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n67, Private,105252, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,182715, 7th-8th,4, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,166210, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n20, Private,113200, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,6, United-States, <=50K\n27, Private,142075, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K\n35, Private,454843, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,142219, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n36, Private,112512, 12th,8, Separated, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n43, Private,212894, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n62, State-gov,265201, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,251905, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,2339,40, Canada, <=50K\n18, Private,170627, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n59, Private,354037, Prof-school,15, Married-civ-spouse, Transport-moving, Husband, Black, Male,15024,0,50, United-States, >50K\n37, Private,259089, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,21856, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n46, Local-gov,207946, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, <=50K\n29, Private,77009, 11th,7, Separated, Sales, Not-in-family, White, Female,0,2754,42, United-States, <=50K\n33, Private,36539, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n62, Private,176811, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,456062, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,55, United-States, >50K\n28, Private,277746, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,288132, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n46, Federal-gov,344415, Masters,14, Married-civ-spouse, Armed-Forces, Husband, White, Male,0,1887,40, United-States, >50K\n54, Self-emp-inc,206964, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K\n34, Private,198091, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, United-States, <=50K\n67, ?,150264, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,20, Canada, >50K\n62, Private,588484, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, >50K\n30, Private,113364, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Poland, <=50K\n19, Private,270551, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n49, ?,31478, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,99, United-States, <=50K\n27, Private,190525, Assoc-voc,11, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,45, United-States, <=50K\n36, Private,153066, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,150393, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,99911, 12th,8, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n57, Local-gov,343447, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n64, Private,169482, Some-college,10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n56, ?,32855, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,194501, 11th,7, Widowed, Other-service, Own-child, White, Female,0,0,47, United-States, <=50K\n53, Private,177705, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K\n31, Private,123983, Some-college,10, Separated, Sales, Unmarried, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n41, Private,138975, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, United-States, >50K\n45, Local-gov,235431, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n63, ?,83043, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,2179,45, United-States, <=50K\n45, State-gov,130206, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n23, Private,210053, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K\n39, Local-gov,249392, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,72, United-States, <=50K\n31, Private,87418, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,190387, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n54, Private,176240, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,60, United-States, >50K\n22, ?,211013, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, Mexico, <=50K\n40, Local-gov,105862, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,5455,0,40, United-States, <=50K\n55, Self-emp-not-inc,185195, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,173495, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,78634, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,147284, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,99, United-States, >50K\n46, Self-emp-not-inc,82572, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n38, Private,154641, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Local-gov,39236, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,594,0,25, United-States, <=50K\n17, ?,64785, 10th,6, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n48, Self-emp-not-inc,179337, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, England, <=50K\n73, Private,173047, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, <=50K\n25, Private,264012, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n53, Federal-gov,227836, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,321327, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,45, United-States, >50K\n45, Self-emp-inc,108100, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,99999,0,25, ?, >50K\n37, Private,146398, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n30, Private,324120, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,367329, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n29, State-gov,301582, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n75, ?,222789, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,6, United-States, <=50K\n58, Private,170108, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n42, Self-emp-not-inc,82297, 7th-8th,4, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,50, United-States, <=50K\n62, Local-gov,180162, 9th,5, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,24, United-States, <=50K\n45, Local-gov,348172, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,7298,0,40, United-States, >50K\n38, Private,809585, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n36, Self-emp-not-inc,67728, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n70, ?,163057, HS-grad,9, Widowed, ?, Not-in-family, White, Female,2009,0,40, United-States, <=50K\n42, Self-emp-not-inc,102069, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n47, Local-gov,149700, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,35, United-States, >50K\n42, Self-emp-not-inc,109273, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n43, Private,393354, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,38, United-States, >50K\n37, Private,226947, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n36, State-gov,86805, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,7298,0,39, United-States, >50K\n27, Private,493689, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, France, <=50K\n54, Private,299324, 5th-6th,3, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male,0,0,40, Mexico, <=50K\n48, Self-emp-not-inc,353012, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n29, Private,174419, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n29, Private,209472, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, <=50K\n37, Private,295127, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,47, United-States, <=50K\n55, Self-emp-inc,182273, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n67, Private,228200, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0,0,20, United-States, <=50K\n51, Private,263836, HS-grad,9, Widowed, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n35, Private,178948, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n41, Private,43945, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n64, Self-emp-not-inc,253296, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n23, Private,240137, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, Mexico, <=50K\n49, Private,24712, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Philippines, <=50K\n38, Self-emp-not-inc,342635, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K\n62, Private,115387, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Female,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,182998, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K\n70, ?,133248, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,14, United-States, <=50K\n45, Self-emp-not-inc,246891, Masters,14, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,30035, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,175232, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n50, Self-emp-inc,140516, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,64980, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,55, United-States, >50K\n30, Private,155781, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n52, Federal-gov,192065, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,227890, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, >50K\n62, Self-emp-not-inc,162249, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n31, Private,165949, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Private,445382, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,211948, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,1590,40, United-States, <=50K\n53, Private,163678, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,89413, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,289700, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K\n51, Private,163826, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,185385, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n43, Private,169031, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,54611, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,130620, 11th,7, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, India, <=50K\n26, Private,328663, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,40, United-States, <=50K\n50, Private,169646, Bachelors,13, Separated, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n35, Private,186815, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,103925, Some-college,10, Never-married, Tech-support, Other-relative, White, Female,0,0,40, United-States, <=50K\n53, ?,150393, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,1504,35, United-States, <=50K\n20, Private,82777, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,16, United-States, <=50K\n31, Local-gov,178449, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,51672, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n46, Private,380162, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, >50K\n21, Private,212114, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,8, United-States, <=50K\n41, Self-emp-not-inc,100800, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,70, United-States, >50K\n30, Private,162572, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, >50K\n66, Self-emp-inc,179951, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n37, Self-emp-inc,190759, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n74, State-gov,236012, 7th-8th,4, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,20, United-States, <=50K\n46, State-gov,164023, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,70, United-States, >50K\n51, Private,172046, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n33, Private,182926, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n30, Private,151001, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464,0,40, Mexico, <=50K\n47, Self-emp-inc,362835, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n49, Private,97883, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n53, Private,91911, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Female,0,0,48, United-States, <=50K\n24, Private,278130, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,146310, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,379412, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,37987, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n46, Self-emp-inc,256909, HS-grad,9, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,3325,0,45, United-States, <=50K\n37, State-gov,482927, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,65, United-States, <=50K\n48, State-gov,44434, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,61, United-States, >50K\n25, Private,255474, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, ?,303674, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,3103,0,20, United-States, <=50K\n44, ?,195488, 12th,8, Separated, ?, Not-in-family, White, Female,0,0,36, Puerto-Rico, <=50K\n58, ?,114362, Some-college,10, Married-civ-spouse, ?, Husband, Black, Male,0,0,30, United-States, <=50K\n27, Private,341504, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n69, Private,197080, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Male,0,0,8, United-States, <=50K\n38, Private,102945, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K\n47, Private,503454, 12th,8, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,87561, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n46, Private,270693, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,3674,0,30, United-States, <=50K\n27, Private,252813, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n19, Private,574271, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n18, Private,184016, HS-grad,9, Married-civ-spouse, Priv-house-serv, Not-in-family, White, Female,3103,0,40, United-States, <=50K\n24, Private,235071, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n32, Private,158242, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,299810, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n19, Private,277695, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, Hong, <=50K\n28, Private,23324, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,316582, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K\n38, Self-emp-not-inc,176657, Some-college,10, Separated, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,60, Japan, <=50K\n42, Private,93770, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K\n31, Private,124569, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n46, Private,117313, 9th,5, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Ireland, <=50K\n53, Private,53812, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,54, United-States, <=50K\n21, Private,170456, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n48, Self-emp-not-inc,115971, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,31432, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,3103,0,52, United-States, >50K\n30, Private,112383, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n24, Private,283092, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,40, Jamaica, <=50K\n32, Private,27207, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Private,46712, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, State-gov,19520, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n56, Private,98630, 7th-8th,4, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,159897, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,37, United-States, <=50K\n38, Private,136629, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Iran, <=50K\n19, Private,407759, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,221884, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n49, Private,148475, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,274964, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K\n50, Self-emp-inc,160107, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n43, Private,167265, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,84, United-States, >50K\n34, Private,148226, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,48, United-States, <=50K\n28, Private,153869, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,208881, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,256953, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,44, United-States, <=50K\n26, Private,100147, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K\n51, Local-gov,166461, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, >50K\n35, Private,171327, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,297335, Assoc-acdm,12, Married-spouse-absent, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,31, Laos, <=50K\n63, ?,133166, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,12, United-States, <=50K\n31, Private,169589, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n22, Local-gov,273734, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n67, Private,158301, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n50, ?,257117, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n63, Private,196725, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K\n31, Private,137444, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,286960, 11th,7, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,201435, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n53, Local-gov,216931, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, <=50K\n44, Local-gov,212665, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,99, United-States, <=50K\n24, Private,462820, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,198841, Assoc-voc,11, Divorced, Tech-support, Own-child, White, Male,0,0,35, United-States, <=50K\n61, Private,219886, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n31, Private,163003, Assoc-acdm,12, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n44, Private,112262, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,5178,0,40, United-States, >50K\n56, Private,213105, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,36, United-States, >50K\n66, Private,302072, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,338105, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n69, Self-emp-not-inc,58213, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,45, United-States, >50K\n64, Private,125684, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,215419, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,36, United-States, >50K\n43, Local-gov,413760, Some-college,10, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n37, Private,205339, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,49, United-States, <=50K\n19, Private,236570, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K\n59, Self-emp-not-inc,247552, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n50, Federal-gov,184007, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,341187, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n56, Private,220187, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,198258, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,175821, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,34, United-States, <=50K\n42, Private,92288, Masters,14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n34, Private,261418, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,203319, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n68, Self-emp-not-inc,166083, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,109001, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n81, ?,106765, Some-college,10, Widowed, ?, Unmarried, White, Female,0,0,4, United-States, <=50K\n22, Self-emp-not-inc,197387, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n58, Private,284834, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,87535, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,25, United-States, <=50K\n17, Local-gov,175587, 11th,7, Never-married, Protective-serv, Own-child, White, Male,0,0,30, United-States, <=50K\n25, Private,242700, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,10520,0,50, United-States, >50K\n23, Private,161478, Some-college,10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,23, United-States, <=50K\n25, Private,51498, 12th,8, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n47, Private,220124, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,188503, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, United-States, >50K\n44, Private,113324, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,208872, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n38, Self-emp-not-inc,34180, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n23, Private,292023, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K\n34, Private,141118, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n33, Private,348592, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n38, Private,185203, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n52, Self-emp-not-inc,165278, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,116933, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,33, United-States, <=50K\n38, Private,237608, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,2444,45, United-States, >50K\n35, Private,84787, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n67, Self-emp-not-inc,217892, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,10605,0,35, United-States, >50K\n60, Private,325971, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688,0,40, United-States, >50K\n44, Private,206878, HS-grad,9, Never-married, Sales, Other-relative, White, Female,0,0,15, United-States, <=50K\n38, Self-emp-not-inc,127772, HS-grad,9, Divorced, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K\n29, Private,208577, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n65, Private,344152, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,5556,0,50, United-States, >50K\n33, Private,40681, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, ?,95108, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,280603, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n43, Private,188436, Prof-school,15, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,134220, Assoc-voc,11, Divorced, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n42, Private,177989, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,164190, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K\n36, Private,90897, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, State-gov,33126, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,270886, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,216129, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n33, Private,189368, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K\n19, ?,141418, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K\n19, Private,306225, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n35, Private,330664, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,191765, HS-grad,9, Divorced, Tech-support, Unmarried, Black, Female,0,0,35, United-States, <=50K\n45, Private,289353, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,24, United-States, <=50K\n25, Private,53147, Bachelors,13, Never-married, Exec-managerial, Own-child, Black, Male,0,0,50, United-States, <=50K\n39, Self-emp-not-inc,122353, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,188767, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Private,239576, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,10, United-States, <=50K\n52, Local-gov,155141, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n22, Private,64520, 12th,8, Never-married, Transport-moving, Unmarried, White, Male,0,0,30, United-States, <=50K\n23, Private,478994, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Private,155654, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,124052, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n39, Private,245053, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n38, Private,183585, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,323639, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K\n55, Federal-gov,186791, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,284303, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,40, United-States, >50K\n23, Private,186666, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,200153, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,180931, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,30, United-States, <=50K\n51, Self-emp-not-inc,183173, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n47, Self-emp-inc,120131, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Cuba, >50K\n25, Self-emp-not-inc,263300, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n34, Private,226443, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n18, Private,404868, 11th,7, Never-married, Sales, Own-child, Black, Female,0,1602,20, United-States, <=50K\n19, Private,208506, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,28, United-States, <=50K\n32, Private,46746, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n49, Private,246183, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n40, ?,165309, 7th-8th,4, Separated, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K\n43, Private,122749, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n71, Self-emp-inc,38822, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K\n59, Private,167963, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n32, Private,273241, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n25, Private,120238, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,167990, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Ireland, <=50K\n17, Private,225507, 11th,7, Never-married, Handlers-cleaners, Not-in-family, Black, Female,0,0,15, United-States, <=50K\n57, Self-emp-inc,125000, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n17, Self-emp-not-inc,174120, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n27, Private,230959, Bachelors,13, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n41, Local-gov,132125, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n62, ?,68461, Doctorate,16, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K\n19, Private,227178, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n41, Private,165798, 5th-6th,3, Divorced, Other-service, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K\n39, Private,129573, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n30, Private,224377, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,179481, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,434268, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n40, Self-emp-not-inc,173716, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n38, Self-emp-inc,244803, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1485,60, Cuba, >50K\n24, Private,114230, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n33, Private,188661, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n48, Private,216093, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,124963, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,85341, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,193490, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n34, Private,80058, Prof-school,15, Never-married, Exec-managerial, Own-child, White, Male,0,0,50, United-States, <=50K\n41, Private,139907, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n51, Self-emp-inc,54342, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,27828,0,60, United-States, >50K\n25, Private,188767, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,117222, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K\n61, Self-emp-inc,171831, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,2829,0,45, United-States, <=50K\n35, Private,187119, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,70, United-States, <=50K\n42, Local-gov,97277, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Local-gov,219760, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,16, United-States, <=50K\n46, Private,63299, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n39, State-gov,171482, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n18, ?,344742, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,210869, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,80, United-States, <=50K\n39, Private,38312, Some-college,10, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,40, United-States, >50K\n47, Private,119939, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,83953, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n43, State-gov,101383, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,204374, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,176831, 10th,6, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n19, ?,60688, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K\n44, Federal-gov,251305, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n46, Local-gov,200947, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n53, Self-emp-not-inc,46704, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n43, Private,119721, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n41, State-gov,58930, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,247750, HS-grad,9, Widowed, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K\n48, Private,67725, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n28, State-gov,200775, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n44, Private,183542, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n20, ?,25139, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Local-gov,123325, Prof-school,15, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,269786, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K\n36, Private,51089, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n28, Private,136985, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K\n21, Private,129350, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n34, ?,35595, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n36, Local-gov,61299, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, ?,192321, Assoc-acdm,12, Never-married, ?, Own-child, White, Female,0,0,80, United-States, <=50K\n31, Private,257644, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K\n44, Self-emp-not-inc,70884, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n49, Local-gov,159726, 11th,7, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n40, Private,174395, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n64, Federal-gov,175534, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, >50K\n54, Local-gov,173050, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n27, Private,32519, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,55, South, <=50K\n18, Private,322999, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n68, Private,148874, 9th,5, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,44, United-States, <=50K\n64, Private,43738, Doctorate,16, Widowed, Prof-specialty, Not-in-family, White, Male,0,0,80, United-States, >50K\n36, Private,195385, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n21, Private,149809, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,24, United-States, <=50K\n22, Private,51985, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K\n61, Private,105384, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,137591, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,10, Greece, <=50K\n49, State-gov,324791, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,184303, Some-college,10, Separated, Priv-house-serv, Other-relative, White, Female,0,0,30, El-Salvador, <=50K\n66, ?,314347, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Private,274010, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n22, Private,321031, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n57, Federal-gov,313929, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n41, Private,394669, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1741,40, United-States, <=50K\n29, Private,152951, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,247115, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n47, Private,175958, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n22, Private,109039, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n59, Self-emp-inc,141326, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n42, State-gov,74334, Masters,14, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K\n64, Self-emp-not-inc,47462, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n29, Federal-gov,182344, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K\n25, State-gov,295912, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K\n62, Private,311495, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,236746, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,10520,0,45, United-States, >50K\n21, Private,187643, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Private,282923, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n46, Private,501671, 10th,6, Divorced, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K\n44, Federal-gov,29591, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Male,0,2258,40, United-States, >50K\n21, Private,301556, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,19, United-States, <=50K\n18, Private,187240, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,18, United-States, <=50K\n39, Private,219483, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,5013,0,32, United-States, <=50K\n33, Private,594187, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n63, Private,200474, 1st-4th,2, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Local-gov,152795, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, >50K\n17, Private,230789, 9th,5, Never-married, Sales, Own-child, Black, Male,0,0,22, United-States, <=50K\n45, Self-emp-inc,311231, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1485,50, United-States, >50K\n31, Private,114691, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,194591, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,114691, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n51, State-gov,42017, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Local-gov,383384, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n28, Private,29444, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n42, Federal-gov,53727, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, ?, <=50K\n38, Private,277022, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, Columbia, <=50K\n43, Local-gov,113324, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,342709, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,179203, 12th,8, Never-married, Sales, Other-relative, White, Male,0,0,55, United-States, <=50K\n46, Private,251474, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n50, Private,93730, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n22, Private,37894, HS-grad,9, Separated, Other-service, Other-relative, White, Male,0,0,35, United-States, <=50K\n18, State-gov,272918, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,15, United-States, <=50K\n53, Private,151411, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n40, Private,210648, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K\n36, Self-emp-not-inc,347491, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n32, Private,255885, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K\n39, Private,356838, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,12, United-States, <=50K\n46, Private,216164, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n26, Local-gov,288781, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,42, United-States, <=50K\n19, Private,439779, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n24, Private,161638, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Ecuador, <=50K\n28, Private,190525, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Local-gov,276249, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n44, Private,147265, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,245090, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Nicaragua, <=50K\n42, State-gov,219682, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n28, Private,392100, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,358682, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Male,0,0,50, ?, <=50K\n47, Private,262244, Bachelors,13, Never-married, Sales, Not-in-family, Black, Male,0,0,60, United-States, >50K\n46, Private,171228, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3411,0,35, Guatemala, <=50K\n21, Local-gov,218445, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K\n19, ?,182609, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,25, United-States, <=50K\n35, Private,509462, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n26, Private,213258, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,118401, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n67, Self-emp-not-inc,45814, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,329733, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K\n26, Private,29957, Masters,14, Never-married, Tech-support, Other-relative, White, Male,0,0,25, United-States, <=50K\n51, Private,215854, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n27, Private,327766, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n27, Private,405765, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, >50K\n39, Private,80680, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Private,177792, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, >50K\n52, Private,273514, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,202373, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Local-gov,332785, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,38, United-States, <=50K\n46, Private,149640, 7th-8th,4, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n42, Private,40151, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n79, Self-emp-inc,183686, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, >50K\n50, Federal-gov,32801, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, >50K\n19, ?,195282, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,20, United-States, <=50K\n43, Federal-gov,134026, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,2174,0,40, United-States, <=50K\n51, Local-gov,96678, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n45, Private,174533, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,50, United-States, >50K\n65, Private,180807, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,991,0,20, United-States, <=50K\n66, Private,186324, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,5, United-States, >50K\n36, Self-emp-not-inc,257250, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K\n26, Private,212800, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Female,0,0,36, United-States, <=50K\n28, Private,55360, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n39, Self-emp-not-inc,195253, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n43, Private,45156, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n20, Private,435469, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, Mexico, <=50K\n29, Private,231287, Some-college,10, Divorced, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K\n32, Private,168854, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1848,50, United-States, >50K\n44, Self-emp-not-inc,185057, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,3325,0,40, United-States, <=50K\n18, ?,91670, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n60, Private,165517, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,73161, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n60, Private,178792, HS-grad,9, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,32897, 11th,7, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,250967, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,41901, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,1408,40, United-States, <=50K\n49, Private,379779, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,217838, 5th-6th,3, Separated, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n37, Self-emp-not-inc,137527, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,2559,60, United-States, >50K\n43, Private,198965, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,38, United-States, >50K\n41, Private,70645, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,4650,0,55, United-States, <=50K\n37, Private,220644, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, ?, <=50K\n19, Private,175081, 9th,5, Never-married, Craft-repair, Other-relative, White, Male,0,0,60, United-States, <=50K\n29, Private,180299, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n40, Self-emp-not-inc,548664, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, United-States, <=50K\n53, Private,278114, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,394927, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n44, Self-emp-not-inc,127482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, England, >50K\n29, Private,236938, Assoc-acdm,12, Divorced, Craft-repair, Unmarried, White, Female,0,0,38, United-States, <=50K\n25, Private,232991, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Mexico, <=50K\n38, Private,34378, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n48, Self-emp-inc,81513, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n18, Private,106780, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K\n50, Private,178596, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,1408,50, United-States, <=50K\n37, Private,329026, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n48, Private,26490, Bachelors,13, Widowed, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n50, Private,338033, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K\n74, ?,169303, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,6767,0,6, United-States, <=50K\n24, Private,21154, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n34, Private,209449, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, >50K\n19, Private,389143, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,101260, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,198270, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,45781, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,134566, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, ?,283806, 9th,5, Divorced, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n68, ?,286869, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,1668,40, ?, <=50K\n46, Private,422813, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n24, Local-gov,103277, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,50, United-States, <=50K\n18, Private,201871, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n50, Self-emp-not-inc,167728, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n42, Private,211517, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,118212, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,259846, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,3471,0,40, United-States, <=50K\n57, Private,98926, Some-college,10, Widowed, Tech-support, Not-in-family, White, Female,0,0,16, United-States, <=50K\n27, Private,207352, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K\n31, Private,206609, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,104509, Masters,14, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,170350, HS-grad,9, Divorced, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n56, Private,183884, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n36, State-gov,110964, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1672,38, United-States, <=50K\n35, State-gov,154410, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n63, ?,257659, Masters,14, Never-married, ?, Not-in-family, White, Female,0,0,3, United-States, <=50K\n28, Private,274679, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n38, Private,252662, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-inc,356689, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K\n18, Private,205218, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n35, Private,241306, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,139127, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,175625, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,206459, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,176123, 10th,6, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,60, India, <=50K\n41, Private,111483, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,106118, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n18, Private,77845, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,1602,15, United-States, <=50K\n19, Private,162094, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,216469, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1579,50, United-States, <=50K\n56, Local-gov,381965, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n28, Private,145284, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K\n29, Private,242482, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K\n35, Self-emp-not-inc,160192, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n27, ?,280699, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Private,175942, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,55, ?, >50K\n18, Private,156950, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K\n53, Private,215572, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,173593, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,20, Canada, <=50K\n55, Private,193374, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n45, Local-gov,334039, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,337664, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,113504, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,177072, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,174503, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,214807, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,37, United-States, <=50K\n41, Private,222596, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K\n23, Private,100345, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n22, Private,409230, 12th,8, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,112497, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,25236,0,40, United-States, >50K\n65, Self-emp-inc,115922, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n59, ?,375049, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,41, United-States, >50K\n25, Private,243560, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, Columbia, <=50K\n33, Local-gov,182971, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,40, United-States, >50K\n31, Private,127215, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n50, State-gov,276241, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n49, State-gov,175109, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n43, Private,498079, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Federal-gov,344394, Some-college,10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n34, Private,99872, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,3103,0,40, India, >50K\n23, Private,245302, Some-college,10, Divorced, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n63, Private,43313, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,188467, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-inc,351278, Bachelors,13, Divorced, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K\n31, Private,182246, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n32, Private,79870, Some-college,10, Married-civ-spouse, Exec-managerial, Own-child, White, Female,2597,0,40, Japan, <=50K\n48, ?,353824, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, ?, >50K\n31, Private,387116, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,36, Jamaica, <=50K\n47, Private,34248, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n54, State-gov,198741, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,32950, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,381153, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,100067, 11th,7, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,35, United-States, >50K\n34, Private,208785, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n31, Private,61559, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K\n41, Private,176452, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Peru, <=50K\n41, ?,128700, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,328518, Assoc-voc,11, Never-married, Prof-specialty, Other-relative, White, Male,0,0,30, United-States, <=50K\n30, ?,201196, 11th,7, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n23, Private,378546, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Local-gov,212210, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, ?, <=50K\n59, Federal-gov,178660, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,235826, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n35, Self-emp-not-inc,22641, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n59, Private,316027, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, Cuba, <=50K\n47, Private,431515, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n51, Self-emp-not-inc,149770, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,44, United-States, <=50K\n42, Private,165916, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n29, Federal-gov,107411, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,217961, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,45, Outlying-US(Guam-USVI-etc), <=50K\n43, Self-emp-not-inc,350387, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n46, Private,325372, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,156718, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,216472, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,20, United-States, <=50K\n29, State-gov,106972, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n33, Private,131934, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n33, Local-gov,365908, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,2105,0,40, United-States, <=50K\n46, Local-gov,359193, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n35, Private,261012, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n36, Private,272944, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n25, Private,113654, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,37, United-States, <=50K\n35, Private,218955, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,115963, 7th-8th,4, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,42, United-States, <=50K\n39, Private,80638, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,84, United-States, >50K\n37, Private,147258, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n22, Private,214635, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,42, United-States, <=50K\n25, Private,200318, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n50, Private,138270, HS-grad,9, Married-civ-spouse, Sales, Wife, Black, Female,0,0,40, United-States, <=50K\n64, Federal-gov,388594, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, ?, >50K\n33, Private,103435, Assoc-voc,11, Separated, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n59, Self-emp-inc,133201, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Italy, <=50K\n24, Private,175183, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,99870, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n38, ?,107479, 9th,5, Never-married, ?, Own-child, White, Female,0,0,12, United-States, <=50K\n60, Private,113440, Bachelors,13, Divorced, Exec-managerial, Own-child, White, Male,0,0,60, United-States, <=50K\n19, Private,85690, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,30, United-States, <=50K\n23, Private,45713, Some-college,10, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n57, Self-emp-inc,376230, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,99999,0,40, United-States, >50K\n36, Private,145576, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1977,40, Japan, >50K\n17, ?,67808, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,113936, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,158291, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,193898, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n43, Private,191982, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,55, United-States, <=50K\n21, ?,72953, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Private,271160, Assoc-voc,11, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,33087, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n29, Private,106153, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n22, Private,29444, 12th,8, Never-married, Farming-fishing, Not-in-family, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K\n37, Private,105021, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n38, Self-emp-not-inc,239045, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,94413, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,20534, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,84, United-States, >50K\n28, Private,350254, 1st-4th,2, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n68, Private,194746, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, Cuba, <=50K\n36, Private,269042, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K\n20, Private,447488, 9th,5, Never-married, Other-service, Unmarried, White, Male,0,0,30, Mexico, <=50K\n24, Private,267706, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,45, United-States, <=50K\n38, Private,198216, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,227931, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,252646, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K\n47, Private,223342, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,2174,0,40, England, <=50K\n28, Private,181776, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n32, Private,132601, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n58, Private,205410, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n64, Self-emp-inc,185912, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,35, United-States, >50K\n38, Private,292570, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,50, United-States, <=50K\n43, Private,76460, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,295163, 12th,8, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,27255, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, ?, <=50K\n23, Private,69847, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K\n25, Private,104993, 9th,5, Never-married, Handlers-cleaners, Own-child, Black, Male,2907,0,40, United-States, <=50K\n41, Private,322980, HS-grad,9, Separated, Adm-clerical, Not-in-family, Black, Male,2354,0,40, United-States, <=50K\n24, ?,390608, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,36, United-States, <=50K\n41, Private,317539, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,195678, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,466502, 7th-8th,4, Widowed, Other-service, Unmarried, White, Male,0,0,30, United-States, <=50K\n28, Local-gov,220754, HS-grad,9, Separated, Transport-moving, Own-child, White, Female,0,0,25, United-States, <=50K\n29, Private,202878, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2042,40, United-States, <=50K\n36, Private,343476, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n41, Self-emp-inc,93227, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,1977,60, Taiwan, >50K\n60, Self-emp-not-inc,38622, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n34, State-gov,173730, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K\n32, Private,178623, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, ?, <=50K\n27, Private,300783, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,42, United-States, >50K\n60, Private,224644, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,191502, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,61885, 12th,8, Divorced, Transport-moving, Other-relative, Black, Male,0,0,35, United-States, <=50K\n34, Self-emp-not-inc,213887, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,32, Canada, >50K\n36, Private,331395, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,145098, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,123075, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,216804, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,0,33, United-States, <=50K\n40, Private,188291, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,33610, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K\n39, Private,234901, Assoc-acdm,12, Separated, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,349148, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,168443, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n43, Private,211860, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,24, United-States, <=50K\n35, Private,193961, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n36, Local-gov,52532, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,50, United-States, >50K\n59, Self-emp-not-inc,75804, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, >50K\n33, Self-emp-not-inc,176185, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,306779, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n48, Private,265192, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n54, Private,139347, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,107682, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n37, Private,34173, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,128378, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n51, Self-emp-inc,195638, Some-college,10, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,59287, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,162442, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n29, ?,350603, 10th,6, Never-married, ?, Own-child, White, Female,0,0,38, United-States, <=50K\n39, Private,344743, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, Black, Female,0,0,50, United-States, >50K\n35, Private,112077, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013,0,40, United-States, <=50K\n26, Private,176795, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, >50K\n51, Private,137815, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n31, Private,309620, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,6, South, <=50K\n39, Private,336880, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,206600, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,30, Mexico, <=50K\n25, Private,193051, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,35, United-States, <=50K\n61, Federal-gov,229062, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1887,40, United-States, >50K\n49, Private,62793, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n53, Private,264939, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Mexico, <=50K\n52, Private,370552, Preschool,1, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, El-Salvador, <=50K\n52, Private,163678, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n74, ?,89667, Bachelors,13, Widowed, ?, Not-in-family, Other, Female,0,0,35, United-States, <=50K\n50, Private,558490, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n29, Private,124680, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,13550,0,35, United-States, >50K\n76, Private,208843, 7th-8th,4, Widowed, Protective-serv, Not-in-family, White, Male,0,0,30, United-States, <=50K\n19, Private,95078, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n25, Private,169679, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,101320, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,168906, Assoc-acdm,12, Divorced, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n20, Private,212582, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n66, ?,170617, Masters,14, Widowed, ?, Not-in-family, White, Male,0,0,6, United-States, <=50K\n63, ?,170529, Bachelors,13, Married-civ-spouse, ?, Wife, Black, Female,0,0,45, United-States, <=50K\n27, Private,99897, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,104892, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,2829,0,40, United-States, <=50K\n43, Private,175224, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, Nicaragua, <=50K\n23, Private,149704, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Federal-gov,214542, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Private,167319, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n33, State-gov,43716, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,4, United-States, <=50K\n28, Private,191935, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n70, ?,158642, HS-grad,9, Widowed, ?, Not-in-family, White, Female,2993,0,20, United-States, <=50K\n35, Private,338611, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,136419, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,75, United-States, >50K\n17, Private,72321, 11th,7, Never-married, Other-service, Other-relative, White, Female,0,0,12, United-States, <=50K\n41, Local-gov,189956, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, >50K\n44, Private,403782, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n47, Private,456661, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n24, Private,279041, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,65716, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,189809, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,52, Jamaica, <=50K\n62, Local-gov,223637, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n27, Local-gov,199343, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K\n59, Private,139344, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n35, Private,119098, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,195025, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K\n28, Private,186720, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,50, United-States, <=50K\n28, Private,328923, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,38, United-States, <=50K\n59, State-gov,159472, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,138662, Some-college,10, Separated, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n54, Local-gov,286342, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, >50K\n39, Private,181705, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n41, Private,193882, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,216497, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, Germany, <=50K\n32, Self-emp-inc,124919, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,50, Iran, >50K\n62, Private,109463, Some-college,10, Separated, Sales, Unmarried, White, Female,0,1617,33, United-States, <=50K\n58, Private,256274, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,326379, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n67, ?,174995, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,2457,40, United-States, <=50K\n31, Private,243142, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Local-gov,155118, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,70, United-States, >50K\n54, Private,189607, Bachelors,13, Never-married, Other-service, Own-child, Black, Female,0,0,36, United-States, <=50K\n20, Private,39478, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,70, United-States, <=50K\n35, Private,206951, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,127647, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,36, United-States, <=50K\n38, Private,234298, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,6849,0,60, United-States, <=50K\n42, Private,182302, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n44, State-gov,166597, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n28, Self-emp-not-inc,33363, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, >50K\n74, Self-emp-inc,167537, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n34, Private,179378, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, <=50K\n50, State-gov,297551, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,52, United-States, <=50K\n50, Private,198362, Assoc-voc,11, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,240504, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,169662, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, ?,164940, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,25, United-States, <=50K\n61, Private,210488, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n21, Private,154835, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n27, Private,333296, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,30, ?, <=50K\n47, Private,192793, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Iran, >50K\n39, Private,49436, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,1380,40, United-States, <=50K\n33, Private,136331, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,509048, HS-grad,9, Never-married, Sales, Other-relative, Black, Female,0,0,37, United-States, <=50K\n38, Private,318610, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n45, Private,104521, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,247695, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n35, Private,219546, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, Germany, <=50K\n21, Private,169699, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, State-gov,131302, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,44, United-States, <=50K\n50, Private,171852, Bachelors,13, Separated, Prof-specialty, Own-child, Other, Female,0,0,40, United-States, <=50K\n36, State-gov,340091, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, >50K\n20, Private,204641, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n49, Private,213431, HS-grad,9, Separated, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n40, State-gov,377018, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n22, Private,184543, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, ?,188236, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n67, Private,233022, 11th,7, Widowed, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n21, Private,177420, Some-college,10, Never-married, Adm-clerical, Not-in-family, Other, Female,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,21101, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K\n17, Private,52486, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K\n43, Private,183273, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,32, United-States, >50K\n49, State-gov,36177, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n41, Private,124956, Bachelors,13, Separated, Prof-specialty, Not-in-family, Black, Female,99999,0,60, United-States, >50K\n38, Private,102350, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n38, Private,165930, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,297574, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, >50K\n40, Private,120277, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, ?,87569, Some-college,10, Separated, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, ?,278220, Some-college,10, Never-married, ?, Own-child, White, Female,0,1602,40, United-States, <=50K\n40, Private,155972, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n46, State-gov,162852, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,64860, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,22, United-States, <=50K\n36, Private,226013, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,5178,0,40, United-States, >50K\n24, Private,322674, Assoc-acdm,12, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K\n62, Private,202242, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n54, Private,175262, Preschool,1, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n23, Private,201682, Bachelors,13, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n60, Private,166330, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n18, Self-emp-inc,147612, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Female,0,0,8, United-States, <=50K\n41, Local-gov,213154, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n45, Local-gov,33798, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n62, State-gov,199198, Assoc-voc,11, Widowed, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,90915, Bachelors,13, Married-spouse-absent, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Self-emp-inc,337778, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Yugoslavia, >50K\n31, Private,187203, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n44, Private,261497, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, ?, <=50K\n33, Self-emp-not-inc,361817, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n62, Self-emp-not-inc,226546, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,16, United-States, <=50K\n27, Private,100168, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n42, Federal-gov,272625, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, >50K\n55, Private,254516, 9th,5, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,37, United-States, <=50K\n41, Private,207375, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n26, Private,39092, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,4064,0,50, United-States, <=50K\n45, Private,48271, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n67, Self-emp-not-inc,152102, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K\n25, Private,234665, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n30, Self-emp-inc,127651, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,48, United-States, >50K\n22, Private,180060, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n19, Private,32477, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n26, Private,137658, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n61, Private,228287, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,159442, Prof-school,15, Never-married, Sales, Not-in-family, White, Female,13550,0,50, United-States, >50K\n43, Private,33310, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Private,270546, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,20, United-States, <=50K\n53, Federal-gov,290290, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n42, Self-emp-inc,287037, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,0,10, United-States, <=50K\n36, Private,128516, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n55, Self-emp-not-inc,185195, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, <=50K\n35, Federal-gov,49657, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n17, Private,98005, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K\n55, Self-emp-not-inc,283635, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n36, Private,98360, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n40, Local-gov,202872, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n54, Self-emp-not-inc,118365, 10th,6, Divorced, Other-service, Not-in-family, Black, Female,0,0,10, United-States, <=50K\n45, Self-emp-not-inc,184285, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n48, Private,345831, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n40, Local-gov,99679, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K\n31, Private,253354, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,190650, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K\n34, Private,287737, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1485,40, United-States, >50K\n19, Private,204389, HS-grad,9, Never-married, Adm-clerical, Own-child, Other, Female,0,0,25, Puerto-Rico, <=50K\n31, Federal-gov,294870, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,159442, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n55, Local-gov,161662, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n38, Private,52738, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,252024, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,20, Mexico, <=50K\n27, Private,189702, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,407913, HS-grad,9, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n20, Private,166527, Some-college,10, Never-married, Adm-clerical, Own-child, Other, Female,0,0,20, United-States, <=50K\n24, Self-emp-not-inc,34918, Assoc-voc,11, Never-married, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K\n27, Private,142712, Masters,14, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, ?, <=50K\n18, Federal-gov,201686, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,4, United-States, <=50K\n28, Local-gov,179759, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,94954, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, Private,350498, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1258,20, United-States, <=50K\n19, Private,201743, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n59, Self-emp-not-inc,119344, 10th,6, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,36, United-States, <=50K\n33, Private,149726, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,46, United-States, <=50K\n28, Private,419146, 7th-8th,4, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n34, Private,174789, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,2001,40, United-States, <=50K\n41, Private,171234, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K\n30, Private,206325, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n59, Private,202682, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,121055, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n47, Private,160187, HS-grad,9, Separated, Prof-specialty, Other-relative, Black, Female,14084,0,38, United-States, >50K\n29, Private,84366, 10th,6, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K\n60, Private,139391, Some-college,10, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, >50K\n53, Local-gov,124094, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,35, United-States, <=50K\n41, Private,30759, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n32, Private,137875, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n73, ?,139049, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,22, United-States, >50K\n20, Private,238384, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n49, Private,340755, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n36, Local-gov,224947, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n33, State-gov,111994, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n25, Private,125491, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,34, United-States, <=50K\n34, ?,310525, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,10, United-States, <=50K\n19, ?,71592, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n40, Local-gov,99185, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,249935, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K\n51, Private,206775, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n22, Private,230704, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,20, Jamaica, <=50K\n34, Private,242361, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,50, United-States, <=50K\n22, Private,134746, 10th,6, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-inc,198613, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2002,40, United-States, <=50K\n56, Private,174040, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,165953, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1902,40, United-States, <=50K\n36, Private,273604, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,192409, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n26, Self-emp-not-inc,102476, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n48, Private,234504, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n35, Self-emp-not-inc,468713, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,84560, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,148995, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,34816, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,12, United-States, <=50K\n28, Private,211184, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n53, Private,33304, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n65, Federal-gov,179985, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,219815, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, Private,134766, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n26, Private,106548, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n70, Private,89787, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K\n55, Private,164857, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Federal-gov,257124, Bachelors,13, Never-married, Transport-moving, Other-relative, White, Male,0,0,35, United-States, <=50K\n31, Private,227446, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Cuba, >50K\n43, Private,125461, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,55, United-States, >50K\n24, Private,189749, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,176321, 7th-8th,4, Never-married, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n26, Private,284250, HS-grad,9, Never-married, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,101885, 10th,6, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,134130, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n52, Private,260938, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,238184, HS-grad,9, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,148626, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,48102, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1977,50, United-States, >50K\n58, Private,234213, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,14344,0,48, United-States, >50K\n65, Private,113323, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n24, Local-gov,34246, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n51, Private,175070, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,5178,0,45, United-States, >50K\n31, Private,279680, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n84, Private,188328, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,16, United-States, <=50K\n51, Private,96609, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Local-gov,84257, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Private,275632, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n22, Private,385540, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n30, Private,196342, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Ireland, <=50K\n47, Private,97176, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,197714, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n43, Self-emp-not-inc,147099, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,36, United-States, <=50K\n30, Private,186346, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n46, Private,73434, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n49, Local-gov,275074, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n37, Private,209214, 5th-6th,3, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K\n42, Private,210525, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,372020, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5013,0,50, United-States, <=50K\n46, Private,176684, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,210474, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n26, Private,293690, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,58, United-States, >50K\n64, Private,149775, Masters,14, Never-married, Prof-specialty, Other-relative, White, Female,0,0,8, United-States, <=50K\n20, Private,323009, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, Germany, <=50K\n31, Private,126950, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,172538, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,40, United-States, >50K\n44, Private,115411, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,101709, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,2885,0,40, United-States, <=50K\n23, Private,265356, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n31, Local-gov,192565, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,90, United-States, >50K\n35, Self-emp-not-inc,348771, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K\n30, Self-emp-not-inc,148959, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n35, Private,126569, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n40, Private,105936, HS-grad,9, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K\n18, Private,188076, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n23, Private,184400, 10th,6, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,30, ?, <=50K\n63, Private,124242, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n20, State-gov,200819, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,100480, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n49, Private,129513, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n53, Self-emp-not-inc,297796, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,195488, HS-grad,9, Separated, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n54, Private,153486, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,56, United-States, >50K\n40, Private,126845, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,206974, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,412149, 10th,6, Never-married, Farming-fishing, Other-relative, White, Male,0,0,35, Mexico, <=50K\n24, Private,653574, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, El-Salvador, <=50K\n37, Private,70562, 1st-4th,2, Never-married, Other-service, Unmarried, White, Female,0,0,48, El-Salvador, <=50K\n62, Private,197514, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,16, United-States, <=50K\n19, ?,309284, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,334679, Assoc-voc,11, Widowed, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n65, Private,105116, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,2346,0,40, United-States, <=50K\n31, Private,151484, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,8, United-States, <=50K\n42, Self-emp-inc,78765, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,90, United-States, >50K\n42, Private,98427, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,35, United-States, <=50K\n54, Private,230767, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Cuba, <=50K\n23, Private,117606, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,60, United-States, <=50K\n28, Private,68642, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,46, United-States, <=50K\n42, Private,341638, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,65920, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n33, Federal-gov,188246, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,198727, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,160728, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,2977,0,40, United-States, <=50K\n27, Private,706026, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n20, ?,348148, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n62, Private,77884, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n17, Private,160758, 10th,6, Never-married, Sales, Other-relative, White, Male,0,0,30, United-States, <=50K\n58, Private,201112, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,55, United-States, >50K\n69, Self-emp-inc,107850, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,6514,0,40, United-States, >50K\n34, Private,230246, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K\n34, Private,203034, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,2824,50, United-States, >50K\n20, Private,373935, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n64, Federal-gov,341695, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n27, Private,119793, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, ?, <=50K\n41, Private,178002, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n40, Private,233130, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K\n53, Local-gov,192982, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, >50K\n44, Private,33155, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n37, Private,187346, 5th-6th,3, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, Mexico, <=50K\n46, Private,78529, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, >50K\n17, Private,101626, 9th,5, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K\n35, Private,117567, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,110791, Assoc-acdm,12, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, State-gov,207120, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,43206, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,25, United-States, <=50K\n26, Private,120238, Bachelors,13, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n26, Private,189219, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K\n35, State-gov,190895, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,83517, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,35557, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, United-States, >50K\n36, Local-gov,59313, Some-college,10, Separated, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n25, Private,202033, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n18, Local-gov,55658, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n21, Private,118186, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n22, Private,279901, HS-grad,9, Married-civ-spouse, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n52, Private,110954, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, El-Salvador, >50K\n36, Self-emp-not-inc,90159, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n25, Private,122489, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,1726,60, United-States, <=50K\n49, Self-emp-not-inc,43348, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,99999,0,70, United-States, >50K\n42, Private,34278, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,37778, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,54, United-States, <=50K\n39, Private,160623, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,342458, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,64322, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,373914, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,205884, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n62, Local-gov,208266, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n38, Private,222450, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n23, Private,348420, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,136081, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2051,40, United-States, <=50K\n37, Federal-gov,197284, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n27, ?,204773, Assoc-acdm,12, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n41, Private,206066, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,61885, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,299908, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, >50K\n35, Private,46028, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K\n47, Private,239865, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,45, United-States, >50K\n30, Private,154587, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K\n29, Private,244473, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,2051,40, United-States, <=50K\n36, Private,32334, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n42, Private,319588, Bachelors,13, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n51, Private,226735, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n34, Private,226443, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-inc,359259, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, Portugal, <=50K\n27, Private,36851, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,41, United-States, <=50K\n39, Private,393480, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n46, Private,33109, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1741,40, United-States, <=50K\n32, Self-emp-not-inc,188246, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,1590,62, United-States, <=50K\n31, Private,231569, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,0,0,50, United-States, <=50K\n23, Private,353010, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K\n47, Private,102628, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n66, Private,262285, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,99, United-States, <=50K\n26, Private,160300, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Private,156953, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n53, Self-emp-inc,136823, 11th,7, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K\n48, Self-emp-not-inc,160724, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K\n37, Self-emp-inc,86459, Assoc-acdm,12, Separated, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K\n17, Private,238628, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,5, United-States, <=50K\n50, Private,339954, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n28, ?,222005, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,40, Mexico, <=50K\n17, Federal-gov,99893, 11th,7, Never-married, Adm-clerical, Not-in-family, Black, Female,0,1602,40, United-States, <=50K\n39, Private,214117, Some-college,10, Divorced, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n28, Federal-gov,298661, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n38, Private,179488, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,48343, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,40, United-States, >50K\n28, Local-gov,100270, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,227065, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,32, United-States, >50K\n40, Private,126701, 9th,5, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n20, Private,209131, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n32, State-gov,400132, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n23, State-gov,278155, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,139012, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,2174,0,40, Vietnam, <=50K\n41, Private,178431, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K\n42, Private,511068, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n18, Private,199039, 12th,8, Never-married, Sales, Own-child, White, Male,594,0,14, United-States, <=50K\n29, Local-gov,190525, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,60, Germany, >50K\n36, Private,115700, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,167832, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,218164, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,44, United-States, <=50K\n48, State-gov,171926, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n36, Self-emp-inc,242080, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, >50K\n67, Federal-gov,223257, HS-grad,9, Widowed, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n53, Private,386773, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n53, Self-emp-not-inc,105478, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,40, United-States, >50K\n45, Private,140644, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n22, Private,205970, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n25, Private,216583, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, <=50K\n61, Private,162432, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Local-gov,83671, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n47, Self-emp-inc,205100, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, Germany, <=50K\n31, Private,195750, 1st-4th,2, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n17, Private,220562, 9th,5, Never-married, Sales, Other-relative, Other, Female,0,0,32, Mexico, <=50K\n38, Self-emp-inc,312232, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,386337, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, ?, <=50K\n42, Private,86185, Some-college,10, Widowed, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n78, Private,105586, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,36, United-States, <=50K\n54, Private,103345, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n26, Local-gov,150553, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,50, United-States, <=50K\n30, Private,26009, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n46, Private,149388, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,151626, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,45, United-States, <=50K\n30, Private,169583, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n66, Local-gov,174486, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,20051,0,35, Jamaica, >50K\n23, Private,160951, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,2597,0,40, United-States, <=50K\n25, Private,213383, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-inc,103078, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n25, Local-gov,109526, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K\n51, Private,142835, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, State-gov,43475, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,190916, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Private,175987, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Local-gov,214385, 11th,7, Divorced, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K\n26, Private,192652, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Federal-gov,207685, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n19, Private,143857, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n39, Private,163392, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,26, ?, <=50K\n51, Private,310774, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n29, ?,427965, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,20, United-States, <=50K\n27, Private,279608, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n33, Private,312881, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n19, Private,175083, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K\n67, ?,132057, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,20, United-States, <=50K\n41, Private,32878, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n29, Federal-gov,360527, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,99478, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n25, Private,113035, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Federal-gov,99199, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,36, United-States, <=50K\n24, Local-gov,452640, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,14344,0,50, United-States, >50K\n48, Private,236858, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,31, United-States, <=50K\n46, Self-emp-inc,201865, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,268661, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n35, Federal-gov,475324, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,117295, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,65704, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, ?, <=50K\n45, Private,192835, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n62, Local-gov,76720, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n39, Local-gov,180686, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K\n33, Local-gov,133876, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n22, Private,123727, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,30, United-States, <=50K\n50, Private,129956, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n25, Private,96268, 11th,7, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,317320, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,86872, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n31, State-gov,100863, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, >50K\n56, Private,164332, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,15, United-States, <=50K\n49, Self-emp-not-inc,122584, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,34377, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,162030, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,43, United-States, <=50K\n33, Private,199170, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n25, Private,470203, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n40, Private,266803, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n72, ?,188009, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n32, State-gov,513416, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,10, United-States, <=50K\n44, Private,98211, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n48, Private,196107, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n17, Private,108273, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K\n50, Private,213290, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,36, United-States, >50K\n61, Private,96660, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,15024,0,34, United-States, >50K\n22, Local-gov,412316, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n17, Private,120068, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,17, United-States, <=50K\n49, Self-emp-inc,101722, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n26, Private,120268, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n19, State-gov,144429, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K\n17, Private,271122, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n38, Private,255621, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,90934, Assoc-voc,11, Divorced, Protective-serv, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n51, Private,162745, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K\n48, Private,128460, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K\n63, Private,30813, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n19, Private,164585, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n73, Private,148003, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,20051,0,36, United-States, >50K\n51, Private,215647, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,43, United-States, <=50K\n38, Private,300975, Masters,14, Married-civ-spouse, Other-service, Husband, Black, Male,0,1485,40, ?, <=50K\n54, Private,421561, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,149909, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,40, United-States, >50K\n65, ?,240857, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,2377,40, United-States, >50K\n36, Self-emp-not-inc,138940, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,50, United-States, >50K\n42, Private,66755, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K\n38, Private,103323, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n20, ?,117222, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n37, State-gov,29145, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n35, State-gov,184659, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, >50K\n51, Self-emp-not-inc,20795, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,311376, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, State-gov,122660, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n19, ?,137578, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,16, United-States, <=50K\n37, Private,193689, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, >50K\n29, Private,144556, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n33, Private,228696, 1st-4th,2, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0,2603,32, Mexico, <=50K\n60, Private,184183, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n22, Private,243178, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n22, ?,236330, Some-college,10, Never-married, ?, Own-child, Black, Male,0,1721,20, United-States, <=50K\n60, State-gov,190682, Assoc-voc,11, Widowed, Other-service, Not-in-family, Black, Female,0,0,37, United-States, <=50K\n35, Private,233786, 11th,7, Separated, Other-service, Unmarried, White, Male,0,0,20, United-States, <=50K\n45, Private,102202, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,95299, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, >50K\n43, Self-emp-inc,240504, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n32, State-gov,169973, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n35, Private,144937, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K\n32, Private,211751, Assoc-voc,11, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n61, Private,84587, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n40, State-gov,150874, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,1506,0,40, United-States, <=50K\n20, ?,187332, 10th,6, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n42, Self-emp-inc,188615, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n21, Private,119704, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n21, Private,275190, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n26, Private,417941, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, State-gov,196348, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n24, Private,221955, Bachelors,13, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n47, Private,173938, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,57, United-States, >50K\n51, Private,123429, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Male,0,0,30, United-States, <=50K\n65, ?,143732, HS-grad,9, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n61, Private,203126, Bachelors,13, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,12, ?, <=50K\n67, Private,174693, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,25, Nicaragua, <=50K\n49, Private,357540, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K\n63, ?,29859, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,1485,40, United-States, >50K\n58, Private,314092, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,48, United-States, >50K\n61, Private,280088, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,257380, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,35, United-States, <=50K\n19, Private,165306, Some-college,10, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n29, Self-emp-not-inc,109001, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n43, Private,266439, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K\n60, Self-emp-not-inc,153356, HS-grad,9, Divorced, Sales, Not-in-family, Black, Male,2597,0,55, United-States, <=50K\n21, Private,32950, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n22, Private,182163, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,188246, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n36, Private,297335, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,50, China, <=50K\n37, Private,108366, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,46, United-States, <=50K\n35, Private,328301, Assoc-acdm,12, Married-AF-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n17, Private,182158, 10th,6, Never-married, Priv-house-serv, Own-child, White, Male,0,0,30, United-States, <=50K\n37, Private,169426, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n22, ?,330571, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,45, United-States, <=50K\n28, Private,535978, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,29393, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Self-emp-inc,258883, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,60, Hungary, >50K\n26, Private,369166, Some-college,10, Never-married, Farming-fishing, Other-relative, White, Female,0,0,65, United-States, <=50K\n45, Local-gov,257855, 11th,7, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,50, United-States, <=50K\n32, Private,164197, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K\n63, Private,109517, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,43, United-States, <=50K\n22, Private,112137, Some-college,10, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,20, South, <=50K\n36, Private,160035, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n45, State-gov,50567, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,140011, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n27, State-gov,271328, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n20, ?,183083, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n47, Self-emp-not-inc,159869, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, United-States, >50K\n46, Private,102542, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,0,52, United-States, <=50K\n28, Private,297742, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Private,176917, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n26, Private,165235, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Thailand, <=50K\n32, Self-emp-not-inc,52647, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n30, Local-gov,48542, 12th,8, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n59, Private,279232, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n58, State-gov,259929, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, >50K\n45, Private,221780, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n76, Self-emp-not-inc,253408, Some-college,10, Widowed, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,298841, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Private,321313, Masters,14, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,64875, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Private,275232, Assoc-acdm,12, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,36, United-States, <=50K\n53, Self-emp-inc,134854, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Greece, >50K\n41, Private,67339, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K\n27, State-gov,192355, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n44, Local-gov,208528, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n35, Private,160120, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K\n36, Private,250238, 1st-4th,2, Never-married, Other-service, Other-relative, Other, Female,0,0,40, El-Salvador, <=50K\n51, Private,25031, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,10, United-States, >50K\n42, Local-gov,255847, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,26892, Bachelors,13, Married-AF-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K\n45, Private,111979, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,408537, 9th,5, Divorced, Craft-repair, Unmarried, White, Female,99999,0,37, United-States, >50K\n36, Private,231037, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n57, Federal-gov,30030, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n27, Private,292120, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,45, United-States, <=50K\n62, Private,138253, Masters,14, Never-married, Handlers-cleaners, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n29, Private,190777, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n38, Self-emp-not-inc,41591, Bachelors,13, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K\n29, Private,186733, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n18, ?,78567, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n19, ?,140590, 12th,8, Never-married, ?, Own-child, Black, Male,0,0,30, United-States, <=50K\n32, Local-gov,230912, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,4865,0,40, United-States, <=50K\n34, Private,176185, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1741,40, United-States, <=50K\n25, Private,182227, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K\n34, Local-gov,205704, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n37, State-gov,24342, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K\n37, Private,138192, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n18, Private,334676, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n24, Private,177526, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Private,152696, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n35, Private,114765, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,265509, Assoc-voc,11, Separated, Tech-support, Unmarried, Black, Female,0,0,32, United-States, <=50K\n29, Private,180758, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n49, Self-emp-not-inc,127921, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n71, ?,177906, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, >50K\n35, Federal-gov,182898, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,422249, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n37, Private,222450, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n33, Local-gov,190027, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,18, United-States, <=50K\n49, Private,281647, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n32, Private,117963, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n63, ?,319121, 11th,7, Separated, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, Private,225504, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,104334, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, El-Salvador, <=50K\n30, State-gov,48214, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n30, Private,145714, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-inc,38240, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n57, Self-emp-not-inc,27385, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,10, United-States, <=50K\n56, Private,204254, 10th,6, Divorced, Other-service, Unmarried, Black, Female,0,0,45, United-States, <=50K\n28, Private,411587, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, Honduras, <=50K\n43, Private,221172, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,24, United-States, >50K\n46, Private,54190, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n60, Private,93997, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K\n50, Local-gov,24139, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,65, United-States, <=50K\n37, Private,112497, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n41, Private,138907, HS-grad,9, Divorced, Priv-house-serv, Other-relative, Black, Female,0,0,40, United-States, <=50K\n38, Private,186325, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,38, United-States, >50K\n23, Private,199452, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Private,126677, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n72, Private,107814, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,2329,0,60, United-States, <=50K\n47, Local-gov,93618, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,33, United-States, <=50K\n29, Private,353352, Assoc-voc,11, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n35, Private,143058, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n24, Private,239663, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,15, United-States, <=50K\n22, Private,167615, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,442274, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,149210, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,45, United-States, >50K\n55, Federal-gov,174533, Bachelors,13, Separated, Other-service, Unmarried, White, Female,0,0,72, ?, <=50K\n40, State-gov,50093, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K\n61, Private,270056, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Japan, <=50K\n58, Self-emp-not-inc,131991, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Male,0,0,72, United-States, <=50K\n39, State-gov,126336, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,341117, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n25, Private,108505, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K\n69, ?,106566, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n36, Private,74791, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Male,0,0,60, ?, <=50K\n34, Private,24266, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n45, Private,267967, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n27, ?,181284, 12th,8, Married-civ-spouse, ?, Husband, Black, Male,0,0,45, United-States, <=50K\n28, Private,102533, Some-college,10, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n27, Private,69757, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n41, State-gov,210094, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, State-gov,389147, HS-grad,9, Never-married, Sales, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n44, Private,210648, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,94809, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K\n36, Local-gov,298717, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n66, Private,236879, Preschool,1, Widowed, Priv-house-serv, Other-relative, White, Female,0,0,40, Guatemala, <=50K\n33, Private,170148, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n39, Local-gov,166497, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, >50K\n30, Private,247156, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,204052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n62, Self-emp-not-inc,122246, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n21, Private,180339, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n50, Self-emp-inc,155574, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K\n30, Private,114912, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,60, United-States, >50K\n43, Private,193882, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,112269, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n26, Federal-gov,171928, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,50, Japan, <=50K\n50, Private,95435, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1579,65, Canada, <=50K\n45, Federal-gov,179638, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n46, Self-emp-inc,125892, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,721712, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n56, Private,197369, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,353795, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,3103,0,40, United-States, >50K\n47, Private,334679, Masters,14, Separated, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0,0,42, India, <=50K\n23, Private,235853, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n51, Self-emp-not-inc,353281, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n19, Private,203061, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,25, United-States, <=50K\n33, Self-emp-not-inc,62932, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,118551, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,80, United-States, <=50K\n52, Private,99184, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,189674, Some-college,10, Separated, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K\n34, Private,226883, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, ?,109564, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Self-emp-inc,66872, 12th,8, Married-civ-spouse, Sales, Husband, Other, Male,0,0,98, Dominican-Republic, <=50K\n35, Local-gov,268292, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, Federal-gov,139290, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,206541, 11th,7, Divorced, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n23, Private,203139, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,294398, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n20, Private,386864, 10th,6, Never-married, Other-service, Other-relative, White, Male,0,0,35, Mexico, <=50K\n17, Private,369909, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n56, Private,89922, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,45, United-States, >50K\n26, Private,176008, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n43, State-gov,241506, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,1506,0,36, United-States, <=50K\n45, Self-emp-not-inc,174426, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n34, Private,167497, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,50, United-States, >50K\n54, Private,292673, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, Mexico, <=50K\n51, Local-gov,134808, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,95763, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n49, Private,83622, Assoc-acdm,12, Separated, Adm-clerical, Not-in-family, White, Female,2597,0,40, United-States, <=50K\n21, Private,222490, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n44, Private,29115, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,66638, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n39, Private,53926, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,43739, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,104359, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,124604, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,32, United-States, <=50K\n45, Private,114797, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n60, Federal-gov,67320, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n28, Federal-gov,53147, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n23, Private,13769, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K\n44, Private,202872, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n19, State-gov,149528, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,12, United-States, <=50K\n37, Private,132879, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-not-inc,112362, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,38, United-States, <=50K\n56, Federal-gov,156229, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n44, Private,131650, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,54, United-States, >50K\n30, Private,154568, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,36, Vietnam, >50K\n23, Private,132300, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,124747, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,3103,0,40, United-States, >50K\n38, Private,276559, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,70, United-States, >50K\n32, Private,106014, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,50, United-States, >50K\n57, Self-emp-not-inc,135134, Masters,14, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K\n35, Private,86648, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n48, Self-emp-not-inc,107231, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n32, Local-gov,113838, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,99, United-States, <=50K\n76, Federal-gov,25319, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K\n57, Local-gov,190561, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n58, ?,150031, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,48343, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n50, Private,211116, 10th,6, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n38, Private,226311, HS-grad,9, Married-AF-spouse, Other-service, Wife, White, Female,0,0,25, United-States, <=50K\n53, Private,283743, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2002,40, United-States, <=50K\n59, Self-emp-not-inc,64102, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n23, Private,234663, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,247880, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,8614,0,40, United-States, >50K\n23, Private,615367, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,163090, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n44, Private,192225, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,370183, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,242482, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,169953, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Local-gov,144182, Preschool,1, Never-married, Adm-clerical, Own-child, Black, Female,0,0,25, United-States, <=50K\n38, Private,125933, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,27828,0,45, United-States, >50K\n26, Private,203777, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,37, United-States, <=50K\n39, Private,210991, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,472580, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K\n33, State-gov,200289, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,19, India, <=50K\n43, Private,289669, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,2547,40, United-States, >50K\n30, Private,110622, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, China, <=50K\n59, State-gov,139616, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,39212, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n28, Private,51961, Some-college,10, Never-married, Tech-support, Own-child, Black, Male,0,0,24, United-States, <=50K\n48, Self-emp-not-inc,117849, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,50748, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,1506,0,35, United-States, <=50K\n41, Self-emp-not-inc,170214, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2179,40, United-States, <=50K\n20, Private,151790, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n49, Private,168211, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n37, State-gov,117651, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, <=50K\n18, Private,157131, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K\n61, Private,225970, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,177951, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, <=50K\n66, Private,134130, Bachelors,13, Widowed, Other-service, Not-in-family, White, Male,0,0,12, United-States, <=50K\n68, Private,191581, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,3273,0,40, United-States, <=50K\n27, Local-gov,199172, HS-grad,9, Married-civ-spouse, Protective-serv, Wife, White, Female,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,262552, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,7, United-States, <=50K\n28, Private,66434, 10th,6, Never-married, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K\n26, Private,77661, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, ?,230856, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,192835, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n62, ?,181014, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,200445, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,1974,40, United-States, <=50K\n26, Self-emp-not-inc,37918, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K\n40, Private,111020, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,244665, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, Honduras, <=50K\n52, Private,312477, HS-grad,9, Widowed, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,243493, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,12, United-States, <=50K\n39, State-gov,152023, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,104193, HS-grad,9, Never-married, Other-service, Own-child, White, Female,114,0,40, United-States, <=50K\n47, Private,170850, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, <=50K\n33, Private,137088, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Ecuador, <=50K\n17, Private,340557, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n26, Private,298225, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,114150, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,194668, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,16, United-States, <=50K\n33, Private,188246, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K\n46, Federal-gov,330901, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,80165, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n48, Private,83444, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n29, Self-emp-not-inc,85572, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,5, United-States, <=50K\n40, Private,116632, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,139989, Bachelors,13, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K\n55, Private,135803, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0,1579,35, India, <=50K\n56, Private,75785, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,248612, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n36, Private,28572, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n26, Self-emp-not-inc,31143, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n37, Private,216924, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,44, United-States, >50K\n36, Private,549174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Self-emp-not-inc,111296, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,50, Mexico, <=50K\n25, Private,208881, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n36, State-gov,243666, HS-grad,9, Divorced, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,327164, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, ?, <=50K\n39, Self-emp-inc,131288, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,5178,0,48, United-States, >50K\n35, Private,257416, Assoc-voc,11, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n33, Private,215288, 11th,7, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n31, Private,58582, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,46, United-States, <=50K\n49, Private,199378, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,22, United-States, <=50K\n34, Self-emp-not-inc,114185, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, ?, <=50K\n40, Private,137421, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,60, Trinadad&Tobago, <=50K\n27, Private,216481, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,196504, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,23, United-States, <=50K\n38, Private,357870, 12th,8, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,50, United-States, <=50K\n55, State-gov,256335, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,168191, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,70, Italy, <=50K\n40, Private,215596, Bachelors,13, Married-spouse-absent, Other-service, Not-in-family, Other, Male,0,0,40, Mexico, <=50K\n42, Private,184682, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,30, United-States, <=50K\n51, Private,171914, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,288229, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,50, Laos, <=50K\n30, State-gov,144064, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n70, ?,54849, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, >50K\n40, Private,141583, 10th,6, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,180985, Bachelors,13, Separated, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K\n24, Private,148709, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, ?,174626, 7th-8th,4, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,184801, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n52, Private,89054, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,147284, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,169973, Assoc-voc,11, Separated, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,222993, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,41099, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n31, Private,33117, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Private,162551, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, Hong, >50K\n49, Private,122066, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,2603,40, Greece, <=50K\n61, ?,42938, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,7, United-States, >50K\n46, Private,389843, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Germany, >50K\n37, Private,138940, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n56, Federal-gov,141877, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,172722, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Self-emp-not-inc,118523, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,227886, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n36, Private,80743, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, South, <=50K\n52, Private,199688, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n40, Private,225823, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n21, Private,176486, HS-grad,9, Married-spouse-absent, Exec-managerial, Other-relative, White, Female,0,0,60, United-States, <=50K\n63, Private,175777, 10th,6, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n30, Private,295010, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,437825, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, Peru, <=50K\n50, Private,270194, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n41, Private,242089, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n39, Self-emp-inc,117555, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,146499, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,48, United-States, <=50K\n52, Private,222405, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,2377,40, United-States, <=50K\n17, ?,216595, 11th,7, Never-married, ?, Own-child, Black, Female,0,0,20, United-States, <=50K\n46, Private,157991, Assoc-voc,11, Divorced, Tech-support, Unmarried, Black, Female,0,625,40, United-States, <=50K\n26, Private,373553, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,42, United-States, <=50K\n30, Private,194827, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n23, Private,60331, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n21, State-gov,96483, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,12, United-States, <=50K\n39, Private,211154, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n37, Local-gov,247750, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,204235, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n38, Private,197113, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,20, United-States, <=50K\n47, Private,178341, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,4064,0,60, United-States, <=50K\n20, Private,293297, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n35, Private,35330, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, State-gov,202056, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,14084,0,40, United-States, >50K\n32, Private,61898, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K\n42, Self-emp-inc,1097453, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n32, Private,176992, 10th,6, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n27, Private,295289, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,30, United-States, <=50K\n53, Self-emp-inc,298215, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n28, Self-emp-not-inc,209934, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, Mexico, <=50K\n26, Private,164938, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,423222, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n23, Private,124259, Some-college,10, Never-married, Protective-serv, Own-child, Black, Female,0,0,40, United-States, <=50K\n70, Self-emp-inc,232871, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K\n41, State-gov,73199, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n43, State-gov,27661, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n65, Private,461715, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,25, ?, <=50K\n40, Self-emp-not-inc,89413, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,40, United-States, <=50K\n64, Self-emp-not-inc,31826, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n40, Private,279679, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n43, Private,221172, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K\n50, Federal-gov,222020, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K\n19, ?,181265, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n32, Self-emp-not-inc,261056, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,2174,0,60, ?, <=50K\n32, Private,204792, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,384508, 11th,7, Divorced, Sales, Unmarried, White, Male,1506,0,50, Mexico, <=50K\n41, Private,288568, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,182714, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, England, <=50K\n20, Private,471452, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n45, State-gov,264052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,146659, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K\n24, Private,203027, Assoc-acdm,12, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,218309, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n28, Private,133625, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n35, Private,45937, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, ?,389850, HS-grad,9, Married-spouse-absent, ?, Unmarried, Black, Male,0,0,50, United-States, <=50K\n38, Federal-gov,201617, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Local-gov,114733, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K\n50, State-gov,97778, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,149507, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n35, Private,82622, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,48014, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, France, <=50K\n61, State-gov,162678, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,213842, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, United-States, <=50K\n61, Private,221447, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n18, Private,426836, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K\n31, Local-gov,206609, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,50276, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n20, Private,180497, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n35, Private,220585, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,202752, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n43, Private,75993, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n18, Private,170544, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n55, Private,115439, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K\n59, Private,24384, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,209067, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,65225, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n60, Federal-gov,27466, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, England, <=50K\n49, Federal-gov,179869, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,442131, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n61, Private,243283, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n64, Private,316627, 5th-6th,3, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n63, Private,208862, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Federal-gov,38645, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,141272, Bachelors,13, Never-married, Other-service, Own-child, Black, Female,0,0,30, United-States, <=50K\n41, State-gov,29324, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n18, ?,348588, 12th,8, Never-married, ?, Own-child, Black, Male,0,0,25, United-States, <=50K\n40, Private,124747, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,7298,0,40, United-States, >50K\n55, Self-emp-not-inc,477867, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,218361, 10th,6, Never-married, Other-service, Own-child, White, Female,0,1602,12, United-States, <=50K\n34, Self-emp-not-inc,156809, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,1504,60, United-States, <=50K\n24, Private,267945, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Private,35724, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n29, Private,187188, Masters,14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,60, United-States, <=50K\n52, Private,155983, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n57, Federal-gov,414994, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,103474, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,45, United-States, <=50K\n43, Private,211128, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n61, Private,203445, Some-college,10, Widowed, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n38, Private,38312, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,65, United-States, >50K\n51, Private,178241, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K\n40, Private,260761, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K\n41, Local-gov,36924, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,292590, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n28, Private,461929, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n59, Private,189664, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n32, State-gov,190577, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,344200, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,337494, Assoc-acdm,12, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K\n54, Self-emp-not-inc,52634, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,194901, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Male,0,2444,42, United-States, >50K\n20, Private,170091, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n27, ?,189399, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,205072, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n35, Private,310290, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, Black, Female,0,0,40, United-States, <=50K\n27, Private,134048, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n40, Private,91959, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,46, United-States, >50K\n34, Private,153942, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,234096, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,185330, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,25, United-States, <=50K\n28, Private,163772, HS-grad,9, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, United-States, <=50K\n65, Private,83800, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,27, United-States, <=50K\n61, Private,139391, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,16, United-States, <=50K\n18, Private,478380, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n35, Self-emp-inc,186845, Bachelors,13, Married-civ-spouse, Sales, Own-child, White, Male,5178,0,50, United-States, >50K\n45, Private,262802, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n68, ?,152157, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n25, Private,114483, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n48, Private,118023, Prof-school,15, Divorced, Sales, Not-in-family, White, Male,0,0,13, United-States, <=50K\n19, Private,220101, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,219424, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,50, United-States, >50K\n54, Private,186117, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n47, Self-emp-not-inc,479611, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n25, Private,80312, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,4865,0,40, United-States, <=50K\n30, Private,108386, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n67, ?,125926, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n35, Private,177102, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,190762, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,18, United-States, <=50K\n61, Private,180632, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,88019, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,32, United-States, <=50K\n50, Private,135339, 12th,8, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K\n32, Private,100662, 9th,5, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, Columbia, <=50K\n34, Private,183557, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,25, United-States, <=50K\n36, Private,160035, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,306790, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,269246, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,308334, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,19, United-States, <=50K\n58, Private,215190, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n27, Private,419146, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,75, Mexico, <=50K\n62, Private,176839, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, <=50K\n36, Self-emp-inc,184456, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,27828,0,55, United-States, >50K\n21, Local-gov,309348, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,594,0,4, United-States, <=50K\n41, Private,56795, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, England, <=50K\n28, Private,201861, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n33, Private,179509, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,291755, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n19, Private,243941, Some-college,10, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female,0,1721,25, United-States, <=50K\n76, Self-emp-not-inc,117169, 7th-8th,4, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,30, United-States, <=50K\n25, ?,100903, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, <=50K\n34, Private,159322, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n40, Private,262872, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,187052, 11th,7, Never-married, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n17, Private,277583, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n55, Private,169071, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n51, Local-gov,96190, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n26, Private,61603, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,0,40, Mexico, <=50K\n44, Private,43711, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K\n65, ?,197883, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,70, United-States, <=50K\n54, Private,99434, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n34, Self-emp-not-inc,177639, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,201723, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n26, Private,222248, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,70, United-States, <=50K\n39, Private,86143, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n46, ?,228620, 11th,7, Widowed, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n34, Private,346034, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, El-Salvador, <=50K\n59, Private,87510, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,37932, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K\n34, Private,185063, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n62, ?,125493, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,5178,0,40, Scotland, >50K\n51, Private,159755, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n34, Private,108837, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,110669, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n21, ?,220115, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n30, Self-emp-not-inc,45427, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,49, United-States, <=50K\n38, Private,154669, HS-grad,9, Separated, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n45, Private,261278, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,5178,0,40, Philippines, >50K\n23, Private,71864, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n34, Private,173495, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n22, Private,254293, 12th,8, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,111883, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n50, Private,146429, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,472807, 1st-4th,2, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,52, Mexico, <=50K\n28, Private,285294, Bachelors,13, Married-civ-spouse, Sales, Wife, Black, Female,15024,0,45, United-States, >50K\n23, Private,184665, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n35, Private,205852, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,83879, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,178564, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n46, Self-emp-inc,168796, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n27, Private,269444, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,47353, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-inc,29254, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n33, Private,155343, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Private,234271, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,257849, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n23, Private,228230, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,47, United-States, <=50K\n36, Private,227615, 5th-6th,3, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,32, Mexico, <=50K\n29, Private,406826, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n50, Self-emp-not-inc,27539, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688,0,40, United-States, >50K\n19, Private,97261, 12th,8, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, ?,232022, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n52, Federal-gov,168539, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,515797, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,351381, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,161018, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n60, Private,26721, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,164123, 11th,7, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,98418, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K\n36, Private,29814, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,50, United-States, <=50K\n25, Private,254613, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, Cuba, <=50K\n49, Private,207677, 7th-8th,4, Divorced, Craft-repair, Not-in-family, White, Male,0,0,70, United-States, <=50K\n25, Self-emp-not-inc,217030, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n50, Private,171199, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,198270, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,43, United-States, <=50K\n28, ?,131310, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,79923, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K\n40, Self-emp-inc,475322, Bachelors,13, Separated, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n56, Private,134286, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n56, Self-emp-not-inc,73746, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,125525, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,42, United-States, <=50K\n38, ?,155676, HS-grad,9, Divorced, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n21, Private,304949, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K\n67, Private,150516, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,24, United-States, <=50K\n54, State-gov,249096, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,164127, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n59, Private,304779, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,157043, 11th,7, Widowed, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K\n30, Private,396538, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,29, United-States, <=50K\n42, Private,510072, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n64, ?,200017, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n61, ?,60641, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,45, United-States, <=50K\n26, Private,89326, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,200471, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,4064,0,40, United-States, <=50K\n78, Self-emp-not-inc,82815, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,3, United-States, >50K\n24, Self-emp-not-inc,117210, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n27, Private,202206, 11th,7, Separated, Farming-fishing, Other-relative, White, Male,0,0,40, Puerto-Rico, <=50K\n51, Private,123429, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n46, Private,353512, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-not-inc,26683, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n20, Private,204641, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,225053, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n36, ?,98776, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n19, Private,263932, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n30, Private,108247, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n31, Self-emp-not-inc,369648, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n26, Private,339324, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,96, United-States, <=50K\n59, ?,145574, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, >50K\n53, Private,317313, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n24, Local-gov,162919, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,186314, Some-college,10, Separated, Prof-specialty, Own-child, White, Male,0,0,54, United-States, <=50K\n36, Private,254202, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n39, Private,108140, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n53, Private,287317, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Male,0,0,32, United-States, <=50K\n75, Self-emp-inc,81534, HS-grad,9, Widowed, Sales, Other-relative, Asian-Pac-Islander, Male,0,0,35, United-States, >50K\n36, Private,35945, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n46, Self-emp-inc,204928, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-inc,208809, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n29, Private,133625, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n60, Private,71683, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,49, United-States, <=50K\n58, Private,570562, HS-grad,9, Widowed, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K\n67, Self-emp-not-inc,36876, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n35, Private,253006, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,38, United-States, >50K\n39, Self-emp-not-inc,50096, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K\n37, Private,336880, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n54, ?,135840, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n63, Self-emp-not-inc,168048, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n47, Private,187969, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n23, Private,117363, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n55, Private,256526, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,4865,0,45, United-States, <=50K\n49, Private,304416, 11th,7, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n39, Private,248011, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,40, United-States, >50K\n23, Private,229826, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,159796, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K\n44, Private,165346, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,25386, Assoc-voc,11, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n35, Private,491000, Assoc-voc,11, Divorced, Prof-specialty, Own-child, Black, Male,0,0,40, United-States, <=50K\n23, Local-gov,247731, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, Cuba, <=50K\n48, Private,180532, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,189462, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Male,2176,0,40, United-States, <=50K\n44, Private,419134, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,170166, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, <=50K\n33, Self-emp-not-inc,173495, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n18, Private,423024, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n24, Private,72119, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,2202,0,30, United-States, <=50K\n32, Local-gov,19302, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, England, >50K\n24, State-gov,257621, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n44, Self-emp-inc,118212, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,70, United-States, >50K\n27, Private,259840, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n39, Private,115289, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, France, >50K\n26, Local-gov,159662, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,379798, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,227945, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,65, United-States, >50K\n41, State-gov,36999, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,75, United-States, >50K\n73, ?,131982, Bachelors,13, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,5, Vietnam, <=50K\n32, Self-emp-inc,124052, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n56, Local-gov,273084, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n59, Private,170104, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n44, Private,96249, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,140915, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,1590,40, South, <=50K\n52, Private,230657, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,3781,0,40, Columbia, <=50K\n30, Private,195576, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,3325,0,50, United-States, <=50K\n23, Private,117767, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,112763, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,8614,0,43, United-States, >50K\n61, Private,79827, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,103925, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n68, Private,161744, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,16, United-States, <=50K\n41, Private,106679, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,27828,0,50, United-States, >50K\n42, Self-emp-not-inc,196514, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, ?,61985, 9th,5, Separated, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K\n19, Private,157605, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,137367, 11th,7, Married-spouse-absent, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n40, Self-emp-inc,110862, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2377,50, United-States, <=50K\n32, Private,74883, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n51, Self-emp-inc,98642, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,14084,0,40, United-States, >50K\n44, Local-gov,144778, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,177787, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,30, England, <=50K\n30, ?,103651, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K\n44, Private,162108, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n24, Private,217602, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,473133, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n17, Private,113301, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, ?, <=50K\n61, Private,80896, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, India, >50K\n30, Local-gov,168387, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,38950, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,107801, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n49, Private,191277, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,205359, Assoc-acdm,12, Widowed, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n39, ?,240226, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n34, Private,203357, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n52, Local-gov,153064, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,202959, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,105150, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n19, Private,238474, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,1085515, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n25, Private,82560, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,43, United-States, <=50K\n71, Private,55965, 7th-8th,4, Widowed, Transport-moving, Not-in-family, White, Male,0,0,10, United-States, <=50K\n27, Private,161087, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K\n28, Private,261278, Assoc-voc,11, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n54, Private,182187, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, Black, Male,15024,0,38, Jamaica, >50K\n18, Private,138917, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,10, United-States, <=50K\n49, Private,200198, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n36, Private,205359, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n57, Private,250201, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K\n56, Federal-gov,67153, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Portugal, >50K\n17, Private,244523, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n30, Private,236599, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,108713, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,177147, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n61, Private,129246, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n50, ?,222381, Some-college,10, Divorced, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, Private,145111, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n44, Private,62258, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, State-gov,108293, Masters,14, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K\n61, ?,167284, 7th-8th,4, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n25, Private,97789, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K\n34, Private,111415, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K\n38, Private,374524, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,287244, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n17, ?,341395, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,20, United-States, <=50K\n48, Private,278039, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,98360, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,317032, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n55, State-gov,294395, Assoc-voc,11, Widowed, Prof-specialty, Unmarried, White, Female,6849,0,40, United-States, <=50K\n41, Self-emp-not-inc,240900, HS-grad,9, Divorced, Farming-fishing, Other-relative, White, Male,0,0,20, United-States, <=50K\n45, Private,32896, 5th-6th,3, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,35, United-States, <=50K\n49, Private,97411, 7th-8th,4, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,45, Laos, <=50K\n19, Private,72355, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n39, Private,342448, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n43, Private,187702, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,2174,0,45, United-States, <=50K\n42, Private,303388, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K\n17, Private,112291, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n30, Private,208668, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,25, United-States, <=50K\n61, Local-gov,28375, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K\n48, Private,207277, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n60, ?,88675, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,47857, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,372500, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, Mexico, <=50K\n24, Private,190968, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n41, Private,37997, 12th,8, Divorced, Transport-moving, Not-in-family, White, Male,0,0,84, United-States, >50K\n42, Private,257328, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n34, Private,127610, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K\n22, ?,139324, 9th,5, Never-married, ?, Unmarried, Black, Female,0,0,36, United-States, <=50K\n47, Private,164423, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,43, United-States, <=50K\n50, Private,104501, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,1980,40, United-States, <=50K\n30, Private,56121, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,296212, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n31, Private,157640, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n44, Private,222504, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,45, United-States, >50K\n34, Private,261023, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1651,38, United-States, <=50K\n52, Private,146567, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Male,14344,0,40, United-States, >50K\n34, Private,116910, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n31, Private,132601, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n68, Private,185537, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n22, Private,500720, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K\n42, Private,182108, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n37, Private,231491, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n36, Self-emp-not-inc,239415, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n38, Private,179262, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n72, Without-pay,121004, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, United-States, <=50K\n40, Private,252392, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n19, Private,163578, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n55, Private,143266, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Hungary, >50K\n30, Private,285902, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,113094, Bachelors,13, Separated, Adm-clerical, Unmarried, White, Female,0,1092,40, United-States, <=50K\n29, Private,278637, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,3103,0,45, United-States, >50K\n41, Private,174540, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,4, United-States, <=50K\n29, Private,188729, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n24, Private,72143, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n46, Self-emp-not-inc,328216, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n44, Private,165815, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n17, Private,317702, 10th,6, Never-married, Sales, Own-child, Black, Female,0,0,15, United-States, <=50K\n35, Private,215323, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n38, Private,192939, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Private,156352, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,155066, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K\n38, Self-emp-not-inc,152621, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K\n19, Private,298891, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,40, Honduras, <=50K\n30, Private,193298, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n36, Local-gov,150309, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n27, Private,384308, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n27, Private,305647, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n66, ?,182378, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n65, Federal-gov,23494, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,2174,40, United-States, >50K\n37, Private,421633, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, >50K\n17, Private,57723, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n19, ?,307837, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n57, Private,103540, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, <=50K\n54, Self-emp-not-inc,136224, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n21, Private,231573, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,242804, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,163671, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,287701, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, >50K\n31, Private,187560, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n41, Private,222504, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K\n20, Private,41356, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,59335, Bachelors,13, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,15, United-States, <=50K\n62, Private,84756, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K\n41, Private,407425, 12th,8, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n37, Private,162424, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n53, Self-emp-not-inc,175456, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n28, Private,52603, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,250630, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n46, Self-emp-not-inc,233974, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n28, Private,376302, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K\n50, Private,195638, 10th,6, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,225775, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, Mexico, <=50K\n84, Private,388384, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,10, United-States, <=50K\n48, Self-emp-not-inc,219021, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n61, Self-emp-not-inc,168654, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n44, Private,180609, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K\n32, Private,114746, HS-grad,9, Separated, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Female,0,0,60, South, <=50K\n25, Private,178037, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K\n47, State-gov,160045, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,268524, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n37, Private,174844, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,17, United-States, <=50K\n28, Private,82488, HS-grad,9, Divorced, Tech-support, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n34, Private,221167, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n32, Self-emp-not-inc,48014, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n24, Private,217226, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n22, ?,177902, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,25, United-States, <=50K\n30, Private,39386, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,99, United-States, <=50K\n56, Private,37394, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,115426, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,114158, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,26, United-States, <=50K\n40, Private,119101, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,68, United-States, >50K\n28, Private,360527, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n39, Private,225544, 12th,8, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,108438, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,230315, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Dominican-Republic, <=50K\n32, Private,158002, Some-college,10, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,55, Ecuador, <=50K\n37, Private,179468, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n71, Private,99894, 5th-6th,3, Widowed, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female,0,0,75, United-States, <=50K\n30, Private,270889, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,42279, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Federal-gov,167380, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1740,50, United-States, <=50K\n42, Private,274913, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,45, United-States, <=50K\n44, Private,35910, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,56, United-States, >50K\n26, Private,68001, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,27162, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n37, Self-emp-not-inc,286146, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Local-gov,95462, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,50103, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n54, Private,511668, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,43, United-States, >50K\n38, Self-emp-inc,189679, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n29, Private,115064, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, State-gov,215443, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,38, United-States, <=50K\n32, Private,174789, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,50, United-States, <=50K\n24, Private,91999, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,20, United-States, <=50K\n59, Federal-gov,100931, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n56, Self-emp-not-inc,119069, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-not-inc,277488, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,84, United-States, <=50K\n35, Private,265662, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,114591, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,40, United-States, >50K\n24, Private,227594, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n30, Private,129707, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1848,40, United-States, >50K\n61, ?,175032, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,133569, 1st-4th,2, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n20, Local-gov,308654, Some-college,10, Never-married, Protective-serv, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K\n36, Private,156084, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Federal-gov,380127, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,210781, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,189759, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,2001,40, United-States, <=50K\n34, Private,258675, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,223367, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n42, ?,204817, 9th,5, Never-married, ?, Own-child, Black, Male,0,0,35, United-States, <=50K\n23, Private,409230, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K\n46, Federal-gov,308077, Prof-school,15, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, Germany, >50K\n60, Private,159049, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, Germany, >50K\n40, Private,353142, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n55, Private,143030, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,304857, Masters,14, Separated, Tech-support, Not-in-family, White, Male,27828,0,40, United-States, >50K\n28, Private,30912, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,43, United-States, <=50K\n55, Private,125000, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n47, Private,181363, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,338620, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, >50K\n32, Private,115989, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,60, United-States, <=50K\n38, Private,111128, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n61, Self-emp-not-inc,201273, Some-college,10, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n62, Self-emp-inc,137354, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n29, Private,133420, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n26, Private,192208, HS-grad,9, Never-married, Protective-serv, Not-in-family, Black, Female,0,0,32, United-States, <=50K\n19, Private,220001, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K\n40, Private,352612, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,169426, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K\n42, Private,319016, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,2885,0,45, United-States, <=50K\n55, Private,119751, Masters,14, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,40, Thailand, <=50K\n55, Private,202220, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,2407,0,35, United-States, <=50K\n43, Self-emp-not-inc,99220, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,111275, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Federal-gov,261241, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,261725, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n36, Private,182013, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,40666, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,216461, Some-college,10, Divorced, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n60, Private,320376, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n35, Private,282951, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n36, State-gov,166697, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Private,290856, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,455361, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n51, Private,82783, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,56536, 11th,7, Never-married, Sales, Own-child, White, Female,1055,0,18, India, <=50K\n33, Self-emp-not-inc,109959, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K\n50, Private,177927, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,192337, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,236272, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n26, Private,33610, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,209483, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,47, United-States, <=50K\n26, Private,247006, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, <=50K\n30, Local-gov,311913, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n39, ?,204756, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n33, Local-gov,300681, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n42, State-gov,24264, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,0,0,38, United-States, <=50K\n28, Private,266070, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n20, Private,226978, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n66, Local-gov,362165, Bachelors,13, Widowed, Prof-specialty, Not-in-family, Black, Female,0,2206,25, United-States, <=50K\n31, Private,341672, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,50, India, <=50K\n36, Private,179488, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, Canada, <=50K\n39, Federal-gov,243872, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n52, Private,259583, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,159822, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, Poland, >50K\n27, Private,219863, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,206947, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n21, Private,245572, 9th,5, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n25, Private,38488, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Private,182504, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n38, Private,193815, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, Italy, <=50K\n51, ?,521665, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K\n29, Private,46442, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,50, United-States, >50K\n45, Private,60267, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n59, Private,264357, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,191814, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,107882, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Private,174575, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n17, Private,143331, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n32, Private,126132, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n42, Private,198619, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n68, Private,211287, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2392,40, United-States, >50K\n55, Federal-gov,238192, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,1887,40, United-States, >50K\n43, Private,257780, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,183355, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,148429, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,71221, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,60, United-States, <=50K\n21, Self-emp-not-inc,236769, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,32146, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,347491, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,1876,46, United-States, <=50K\n34, Private,180714, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,2179,40, United-States, <=50K\n57, ?,188877, 9th,5, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,306747, Bachelors,13, Divorced, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n21, State-gov,478457, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,12, United-States, <=50K\n25, Private,248990, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n51, Self-emp-inc,46281, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n35, Private,148015, Bachelors,13, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n19, Private,278115, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n27, Private,190525, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,55, United-States, >50K\n34, Private,176673, Some-college,10, Never-married, Sales, Other-relative, Black, Female,0,0,35, United-States, <=50K\n33, ?,202366, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,32, United-States, <=50K\n36, Private,238415, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,37939, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n60, Self-emp-not-inc,35649, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,383493, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n47, Federal-gov,204900, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K\n42, Private,20809, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,75, United-States, >50K\n34, Private,148207, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n21, Private,200153, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K\n30, Private,169496, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,15, United-States, >50K\n53, Private,22978, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n34, Private,366898, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, <=50K\n37, Private,324947, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,321577, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n31, Private,241360, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,207564, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n33, Private,220860, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n41, Local-gov,336571, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n23, State-gov,56402, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n65, Private,180280, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n30, Private,81282, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Private,86332, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,4064,0,55, United-States, <=50K\n30, Local-gov,27051, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Private,287647, Masters,14, Divorced, Sales, Not-in-family, White, Male,4787,0,45, United-States, >50K\n37, Self-emp-not-inc,183735, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,3137,0,30, United-States, <=50K\n42, Private,100800, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n62, Private,155094, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K\n67, ?,102693, HS-grad,9, Widowed, ?, Not-in-family, White, Male,1086,0,35, United-States, <=50K\n31, Private,151053, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,40, United-States, >50K\n50, Private,548361, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, >50K\n33, Private,173858, Bachelors,13, Married-civ-spouse, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n27, Private,347153, Some-college,10, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K\n31, Private,319146, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, Mexico, >50K\n35, Private,197719, Some-college,10, Never-married, Machine-op-inspct, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n55, Private,197114, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,6, United-States, >50K\n54, Self-emp-not-inc,109418, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1977,35, United-States, >50K\n56, Private,182062, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, >50K\n21, Private,184543, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, Private,175558, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,20, Germany, <=50K\n46, Private,122026, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,340543, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n43, Private,101950, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n40, Private,179508, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K\n52, Private,225317, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n59, Local-gov,53304, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n36, Local-gov,282602, Assoc-voc,11, Separated, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n33, Private,184016, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,250165, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,196467, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,35, United-States, <=50K\n59, ?,220783, 10th,6, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,178780, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n62, Private,65868, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,43, United-States, <=50K\n54, Private,35459, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,98986, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K\n36, Private,282092, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,140764, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,45, United-States, <=50K\n30, Private,33124, HS-grad,9, Separated, Farming-fishing, Unmarried, White, Female,0,0,14, United-States, <=50K\n46, Private,90042, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,102986, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,40, Laos, >50K\n21, Private,214387, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,64, United-States, <=50K\n39, Private,180667, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,278329, HS-grad,9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K\n32, Private,184440, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464,0,40, United-States, <=50K\n23, Private,140462, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,202565, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Italy, <=50K\n62, ?,181063, 10th,6, Widowed, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n28, Private,287268, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n28, Private,215955, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,82552, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,41745, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,73587, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n54, Private,263925, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n19, Private,196119, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n27, Private,284741, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n30, Private,293936, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,50, ?, <=50K\n35, Private,340428, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n66, ?,175891, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n19, Local-gov,276973, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n30, Private,161599, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,144064, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,236391, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,224943, Assoc-voc,11, Never-married, Sales, Other-relative, Black, Male,0,0,65, United-States, <=50K\n44, Private,151294, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n52, Private,68982, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n30, Private,241885, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,189461, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K\n19, Self-emp-not-inc,36012, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,85355, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K\n20, Private,157595, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Private,197286, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,362747, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n24, Private,395297, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n31, Self-emp-not-inc,144949, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n20, ?,163665, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n32, Private,141490, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n29, Private,147889, Assoc-acdm,12, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K\n61, Private,232808, 10th,6, Divorced, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K\n48, Private,70668, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,50, United-States, <=50K\n29, Federal-gov,33315, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, ?,63526, 12th,8, Never-married, ?, Not-in-family, Black, Male,0,0,52, United-States, <=50K\n34, Private,591711, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,48, ?, <=50K\n22, Private,200318, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K\n32, Private,97723, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,40, United-States, <=50K\n38, Private,109231, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,102889, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,167106, HS-grad,9, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, Hong, <=50K\n35, Private,182898, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,8614,0,40, United-States, >50K\n62, Private,197918, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,67386, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, Private,126592, HS-grad,9, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n34, Private,49469, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,99999,0,50, United-States, >50K\n37, Self-emp-not-inc,119929, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n63, Private,158199, 1st-4th,2, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,44, Portugal, <=50K\n35, Private,341102, 9th,5, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n55, Private,101524, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,202872, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n25, Private,195201, HS-grad,9, Married-civ-spouse, Sales, Husband, Other, Male,0,0,50, United-States, <=50K\n51, Private,128272, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,263094, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n54, Self-emp-inc,357596, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,55, United-States, >50K\n47, Local-gov,102628, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,171114, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Private,216414, Assoc-voc,11, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, Private,127753, 12th,8, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n19, Private,282698, 7th-8th,4, Never-married, Adm-clerical, Own-child, White, Male,0,0,80, United-States, <=50K\n35, Private,139364, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n36, Local-gov,312785, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Male,0,0,35, United-States, <=50K\n18, Private,92864, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n46, Local-gov,175428, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,104223, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K\n29, Private,144784, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n65, Private,178934, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,20, Jamaica, <=50K\n41, Private,211253, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n34, Private,133122, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,103540, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n39, State-gov,172700, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n21, Private,282484, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,323055, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n33, State-gov,291494, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,214702, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n32, Private,116055, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,2977,0,35, United-States, <=50K\n32, Private,226696, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n31, Private,216827, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,153132, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n48, Private,307440, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,45, Philippines, >50K\n27, Private,278122, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,122195, HS-grad,9, Widowed, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,156890, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,36877, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K\n25, Private,131178, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,23, United-States, <=50K\n34, Self-emp-inc,62396, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,62, United-States, >50K\n33, Private,73054, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n21, Private,96844, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n22, Private,324922, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K\n61, Private,130684, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, <=50K\n40, Private,178983, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, >50K\n58, Private,81038, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,12, United-States, <=50K\n30, Private,151967, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,58, United-States, <=50K\n24, Private,278107, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K\n52, Self-emp-not-inc,183146, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n50, Private,183638, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,247892, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,30, United-States, <=50K\n22, Private,221480, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Private,118551, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, ?, >50K\n21, Private,518530, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,193787, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,50, United-States, <=50K\n34, Self-emp-inc,157466, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n48, Private,141511, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n61, ?,158712, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,99, United-States, <=50K\n21, Private,252253, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n20, Private,200450, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,52, United-States, <=50K\n30, State-gov,343789, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,277647, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n44, Private,291566, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,60, United-States, <=50K\n29, Private,151382, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,221167, Prof-school,15, Divorced, Tech-support, Not-in-family, White, Female,0,0,35, United-States, <=50K\n35, Private,196178, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,302422, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,37379, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n37, Self-emp-not-inc,82540, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K\n33, Self-emp-not-inc,182926, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, ?, <=50K\n44, Private,159911, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,55, United-States, <=50K\n34, Private,212781, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Local-gov,207213, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,5, United-States, <=50K\n30, Private,200192, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,45, United-States, <=50K\n41, Local-gov,180096, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n23, Private,192812, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,105908, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,70, United-States, <=50K\n48, Private,373366, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,3781,0,50, Mexico, <=50K\n26, State-gov,234190, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n32, Private,260868, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K\n26, Private,109097, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K\n36, Private,171393, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,55, United-States, >50K\n49, Private,209146, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n33, ?,289046, HS-grad,9, Divorced, ?, Not-in-family, Black, Male,0,1741,40, United-States, <=50K\n54, Private,172281, Masters,14, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, >50K\n36, Private,73023, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n41, Private,122626, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,48, United-States, <=50K\n27, Private,113635, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n68, ?,257269, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,2377,35, United-States, >50K\n21, ?,191806, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,75, United-States, <=50K\n56, ?,35723, HS-grad,9, Divorced, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,30759, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n46, Private,105327, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, ?,376058, 9th,5, Never-married, ?, Own-child, White, Female,0,0,45, United-States, <=50K\n43, Private,219307, 9th,5, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n46, Private,208067, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,78631, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n19, Private,210308, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n67, Local-gov,190661, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,7896,0,50, United-States, >50K\n31, Private,594187, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,228476, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n21, Private,126613, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,30267, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,216811, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,16, United-States, <=50K\n62, Local-gov,115763, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n31, Local-gov,199368, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,50, United-States, >50K\n52, Private,159755, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n39, Self-emp-not-inc,188335, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,417668, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K\n55, ?,141807, HS-grad,9, Never-married, ?, Not-in-family, White, Male,13550,0,40, United-States, >50K\n38, Private,296317, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n36, Private,164898, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,452406, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,15, United-States, <=50K\n27, Private,42696, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,262994, Some-college,10, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n43, State-gov,167298, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Private,103529, 11th,7, Divorced, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n47, Private,97883, Bachelors,13, Widowed, Priv-house-serv, Unmarried, White, Female,25236,0,35, United-States, >50K\n49, State-gov,269417, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Female,0,2258,50, United-States, >50K\n34, Private,199539, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n19, ?,39460, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K\n79, Federal-gov,62176, Doctorate,16, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,6, United-States, >50K\n28, State-gov,239130, Some-college,10, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-inc,151089, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n21, Private,331611, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n31, Self-emp-not-inc,203463, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,151518, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n23, Self-emp-inc,39844, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Private,299635, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, <=50K\n67, Private,123393, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,209538, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n35, Self-emp-not-inc,238802, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,499197, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,200220, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,114059, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n18, Private,434430, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n47, Private,185385, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,24, United-States, <=50K\n22, Private,225156, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,377931, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2377,48, United-States, <=50K\n27, ?,133359, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,50, ?, <=50K\n28, Private,226891, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,30, ?, <=50K\n32, Private,201988, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,4508,0,40, ?, <=50K\n40, Private,287008, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,55, Germany, >50K\n23, Private,151910, Bachelors,13, Never-married, Machine-op-inspct, Own-child, White, Female,0,1719,40, United-States, <=50K\n25, Private,231714, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-inc,178510, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,2258,60, United-States, <=50K\n43, Private,178866, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,25, United-States, >50K\n31, Private,110643, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,55, United-States, >50K\n33, Private,148261, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,217902, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n29, Self-emp-not-inc,77207, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n32, ?,377017, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n78, Private,184759, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,1797,0,15, United-States, <=50K\n64, Self-emp-inc,80333, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n58, Private,265086, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n55, ?,102058, 12th,8, Widowed, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n20, Private,333843, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,296478, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n27, Local-gov,116662, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,353298, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,99999,0,50, United-States, >50K\n42, Private,142424, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Local-gov,200808, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, Puerto-Rico, <=50K\n29, Private,119052, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n33, Private,168981, 1st-4th,2, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K\n44, Private,151780, Some-college,10, Widowed, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n70, Private,237065, 5th-6th,3, Widowed, Other-service, Other-relative, White, Female,2346,0,40, ?, <=50K\n25, Private,509866, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,78, United-States, <=50K\n24, State-gov,249385, Bachelors,13, Never-married, Adm-clerical, Other-relative, White, Female,0,0,10, United-States, <=50K\n42, State-gov,109462, Bachelors,13, Divorced, Adm-clerical, Unmarried, Black, Female,2977,0,40, United-States, <=50K\n53, Private,250034, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, >50K\n39, Private,249720, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,60, United-States, <=50K\n72, Self-emp-not-inc,258761, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-inc,64048, 9th,5, Never-married, Sales, Own-child, White, Female,0,0,44, Portugal, <=50K\n25, State-gov,153534, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,193815, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,255582, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,204527, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n64, Self-emp-not-inc,159938, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2635,0,24, Italy, <=50K\n29, Self-emp-not-inc,229341, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n50, Private,128143, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,175479, 5th-6th,3, Never-married, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n18, Private,301814, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n20, Private,238917, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,32, Mexico, <=50K\n32, Private,205581, Some-college,10, Separated, Tech-support, Unmarried, White, Female,0,0,50, United-States, <=50K\n45, Private,340341, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n48, Private,147860, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female,0,0,40, United-States, <=50K\n20, ?,121023, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,259496, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Federal-gov,190228, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,48, United-States, >50K\n43, Private,180599, Bachelors,13, Separated, Exec-managerial, Unmarried, White, Male,8614,0,40, United-States, >50K\n44, Private,116358, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n47, Self-emp-not-inc,180446, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, >50K\n47, Private,264244, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n46, Local-gov,197988, 1st-4th,2, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K\n19, Private,206599, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Private,313146, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-inc,99212, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n37, Private,340599, 11th,7, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Private,62932, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,44861, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,53893, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n53, Self-emp-inc,152810, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,45, United-States, >50K\n47, Local-gov,128401, Doctorate,16, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,336951, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n60, Self-emp-not-inc,95445, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3137,0,46, United-States, <=50K\n43, Private,54611, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,315984, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,50, United-States, >50K\n28, Private,210313, 10th,6, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K\n19, Private,181020, 11th,7, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,30, United-States, <=50K\n51, Self-emp-not-inc,120781, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Other, Male,99999,0,70, India, >50K\n19, Private,256979, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,35, United-States, <=50K\n64, Private,47298, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n44, Private,125461, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n21, Private,209955, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K\n33, Private,182246, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n63, Private,76860, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n44, ?,91949, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n44, Local-gov,136986, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,35, United-States, >50K\n28, Federal-gov,183445, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,70, Puerto-Rico, <=50K\n24, Private,130741, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Federal-gov,191878, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K\n21, ?,233923, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,24, United-States, <=50K\n20, Private,48121, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,304302, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n34, Federal-gov,284703, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,52, United-States, <=50K\n17, Private,401198, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n35, Private,243357, 11th,7, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n26, Private,32276, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,110538, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,70, United-States, <=50K\n25, Private,257310, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,411950, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n52, Local-gov,392668, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n43, Self-emp-not-inc,52498, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n36, Private,223433, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n37, Private,87076, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n58, Private,224854, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,193379, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n54, Private,98436, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n42, ?,116632, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K\n65, Self-emp-inc,210381, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,65, United-States, >50K\n44, Private,90688, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0,0,45, Laos, <=50K\n61, Private,229744, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K\n29, Private,59732, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n34, Private,192900, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n24, State-gov,90046, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, Canada, <=50K\n40, Private,272960, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,42, United-States, >50K\n42, Self-emp-inc,152071, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Cuba, >50K\n50, Private,301583, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, ?,171964, HS-grad,9, Never-married, ?, Own-child, White, Female,0,1602,20, United-States, <=50K\n49, Private,315984, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,241962, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,131591, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,45, United-States, <=50K\n70, Self-emp-inc,207938, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,5, United-States, <=50K\n51, Private,53197, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,121023, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,287229, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n22, Private,163911, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n31, Private,191834, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,204734, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,220978, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,365739, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,50103, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,283293, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,194534, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,99999,0,60, United-States, >50K\n19, Private,263338, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n36, ?,504871, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,348592, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, <=50K\n28, Private,173944, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,226135, 9th,5, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K\n32, Private,172375, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K\n57, Self-emp-inc,127728, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K\n47, Private,347025, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,191335, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, <=50K\n21, Private,247779, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,38, United-States, <=50K\n25, State-gov,262664, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,95855, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,74501, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n43, Private,245317, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n61, Private,29059, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,2754,25, United-States, <=50K\n56, Private,200316, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K\n35, Private,198341, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n59, Private,100453, 7th-8th,4, Separated, Other-service, Own-child, Black, Female,0,0,38, United-States, <=50K\n44, Self-emp-not-inc,343190, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,55, United-States, >50K\n47, Private,235683, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,83237, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n64, Private,88470, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,198801, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n53, Private,168107, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,196193, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n30, ?,205418, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K\n46, Private,695411, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K\n45, Self-emp-inc,139268, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n44, Federal-gov,192771, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n59, Self-emp-inc,122390, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,48, United-States, >50K\n65, Self-emp-inc,184965, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K\n23, Private,180837, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n33, Private,159548, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K\n34, Private,110554, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n38, Private,103474, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n62, Private,178249, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n21, Private,138768, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n41, Private,321824, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,8, United-States, <=50K\n35, Private,244803, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Peru, <=50K\n62, Local-gov,206063, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K\n53, Private,167651, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n69, State-gov,163689, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, United-States, <=50K\n19, Self-emp-not-inc,45546, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K\n47, Private,420986, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n52, Self-emp-inc,68015, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,90, United-States, >50K\n54, Private,175594, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, ?,148673, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K\n30, Private,206322, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,73, United-States, >50K\n39, Private,272338, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,25, United-States, <=50K\n73, Private,105886, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,1173,0,75, United-States, <=50K\n64, Private,312498, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,177675, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,152810, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,319122, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,212304, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n53, Private,208321, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,1740,40, United-States, <=50K\n39, Private,240841, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n49, Private,208978, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,16, United-States, <=50K\n23, Local-gov,442359, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1092,40, United-States, <=50K\n28, Private,198197, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K\n46, Private,261059, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n40, Private,72791, Some-college,10, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n24, Private,275395, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n20, ?,195767, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,462966, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,8, El-Salvador, <=50K\n24, ?,265434, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,31269, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n33, Local-gov,246291, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,46, United-States, <=50K\n54, Federal-gov,128378, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,231180, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n31, Local-gov,206297, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n47, Self-emp-inc,337050, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,193075, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n33, Local-gov,169652, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Male,0,1669,55, United-States, <=50K\n35, Private,35945, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n20, ?,141453, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K\n36, Private,252231, Preschool,1, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, Puerto-Rico, <=50K\n30, Private,128016, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n39, Private,150057, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n25, Private,258276, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n40, Private,188465, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n25, Self-emp-inc,161007, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,403468, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Mexico, <=50K\n53, Federal-gov,181677, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,120243, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n41, Private,157025, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K\n25, Private,306908, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n66, Self-emp-not-inc,28061, 7th-8th,4, Widowed, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K\n53, Private,95540, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,1471,0,40, United-States, <=50K\n27, Private,135001, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,293398, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,185106, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,245790, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,80, United-States, <=50K\n26, Private,134004, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n26, Private,205036, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,42, United-States, <=50K\n26, Private,244495, 9th,5, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n38, Private,159179, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,405155, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n34, Private,177437, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,45, United-States, >50K\n32, Federal-gov,402361, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,184553, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,302626, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,99138, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n39, Private,112731, HS-grad,9, Divorced, Other-service, Not-in-family, Other, Female,0,0,40, Dominican-Republic, <=50K\n35, Private,192923, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2377,40, United-States, <=50K\n18, Private,761006, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n75, ?,125784, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n28, Private,182344, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,117012, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n39, Federal-gov,30673, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n31, Federal-gov,484669, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, State-gov,314052, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n43, State-gov,38537, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,38, ?, <=50K\n27, Private,165412, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,198341, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1902,55, India, >50K\n46, Private,116635, Bachelors,13, Separated, Prof-specialty, Unmarried, Black, Female,0,0,36, United-States, <=50K\n20, Private,185452, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Private,118686, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K\n69, Private,76939, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Federal-gov,160646, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K\n49, State-gov,126754, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K\n20, Private,211049, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,30, United-States, <=50K\n52, Private,311931, 5th-6th,3, Married-civ-spouse, Sales, Wife, White, Female,0,0,15, El-Salvador, <=50K\n33, Private,283602, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,59, Mexico, <=50K\n18, Private,155021, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,6, United-States, <=50K\n55, Self-emp-not-inc,100569, HS-grad,9, Separated, Farming-fishing, Unmarried, White, Female,0,0,55, United-States, <=50K\n61, Private,380462, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K\n61, Federal-gov,221943, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,9386,0,40, United-States, >50K\n39, Private,114544, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n30, Private,248584, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,227468, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Private,66173, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,0,0,15, United-States, <=50K\n34, Private,107624, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n53, Private,70387, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,4386,0,40, India, >50K\n38, Private,423616, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,36, United-States, >50K\n46, Private,98637, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n27, Local-gov,216013, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,210926, 11th,7, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, Nicaragua, <=50K\n60, Local-gov,255711, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, >50K\n23, Private,77581, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,152461, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,14344,0,50, United-States, >50K\n22, Private,203263, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n25, Private,261519, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n29, Private,91189, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n90, Federal-gov,195433, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n37, Local-gov,272471, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,311524, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,38, United-States, <=50K\n18, Private,151386, HS-grad,9, Married-spouse-absent, Other-service, Own-child, Black, Male,0,0,40, Jamaica, <=50K\n35, Private,187625, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,65, United-States, <=50K\n50, Private,108933, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,2885,0,40, United-States, <=50K\n54, Private,135388, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n43, Private,169383, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n28, Self-emp-inc,191129, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, >50K\n51, Private,467611, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n31, Private,373185, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,42, Mexico, <=50K\n69, Private,130060, HS-grad,9, Separated, Transport-moving, Unmarried, Black, Female,2387,0,40, United-States, <=50K\n57, Private,199934, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n71, ?,116165, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,14, Canada, <=50K\n28, Private,42881, 10th,6, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n28, ?,174666, 10th,6, Separated, ?, Not-in-family, White, Male,0,0,80, United-States, <=50K\n25, Private,169759, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,95, United-States, <=50K\n49, Self-emp-not-inc,181547, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, Columbia, <=50K\n52, Private,95704, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,237432, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K\n32, Private,226267, 5th-6th,3, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, El-Salvador, <=50K\n31, Private,159979, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,50, United-States, <=50K\n30, Private,203488, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n24, Private,403671, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n45, Private,192323, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,66, Yugoslavia, <=50K\n30, Private,167832, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,145166, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n42, State-gov,155657, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,25, United-States, <=50K\n49, Private,116789, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,39234, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n25, Private,124111, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Private,172828, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, Outlying-US(Guam-USVI-etc), <=50K\n55, Private,143372, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,265807, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137,0,50, United-States, <=50K\n25, State-gov,218184, Bachelors,13, Never-married, Protective-serv, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n32, Private,154087, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n29, Federal-gov,440647, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n37, Private,193952, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, ?, <=50K\n52, Private,125932, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,284652, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n21, ?,214635, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,24, United-States, <=50K\n43, Private,173316, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, State-gov,65390, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, ?, <=50K\n40, Self-emp-inc,45054, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,185042, 1st-4th,2, Separated, Priv-house-serv, Other-relative, White, Female,0,0,40, Mexico, <=50K\n35, Private,117381, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,258666, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,1974,40, United-States, <=50K\n35, Private,179668, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,127277, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K\n26, Private,192022, Bachelors,13, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,99551, Bachelors,13, Widowed, Sales, Unmarried, White, Female,0,0,15, United-States, <=50K\n51, Private,208899, Bachelors,13, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,287658, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,30, Jamaica, <=50K\n31, Private,196125, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,275051, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,8, United-States, <=50K\n38, Private,23892, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n39, Federal-gov,376455, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,50, United-States, >50K\n29, Private,267989, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n39, Private,30269, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,204235, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n46, Local-gov,209057, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n73, Private,349347, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, United-States, <=50K\n47, Local-gov,154033, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,1876,40, United-States, <=50K\n28, Private,124680, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,70, United-States, <=50K\n27, Private,132805, 10th,6, Never-married, Sales, Other-relative, White, Male,0,1980,40, United-States, <=50K\n38, Private,99233, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n19, Private,224849, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K\n60, Local-gov,101110, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, >50K\n24, Private,184839, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Private,302847, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,181322, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n26, Local-gov,192213, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Canada, <=50K\n28, State-gov,37250, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,16, United-States, <=50K\n38, Self-emp-inc,140854, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n47, Private,158286, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n50, Private,269095, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K\n27, Private,279960, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,176239, Some-college,10, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,115360, 10th,6, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,3464,0,40, United-States, <=50K\n49, Private,337666, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n68, ?,255276, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,48, United-States, >50K\n63, Private,145212, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,185099, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K\n42, Private,142756, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n28, Private,156300, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,45, United-States, <=50K\n68, ?,186266, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,8, United-States, <=50K\n38, Private,219137, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,22, United-States, <=50K\n43, Private,110970, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n49, Private,203067, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n59, Private,148844, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,154941, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,124111, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K\n59, Private,157303, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K\n34, Private,113838, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n34, Private,165737, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,43, India, >50K\n67, Private,140849, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n45, Private,200363, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,44, United-States, <=50K\n64, Private,180247, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n51, Private,82578, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, Canada, >50K\n31, Private,227146, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n42, Self-emp-inc,348886, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n65, Private,90907, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n23, Private,142766, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,20, United-States, <=50K\n31, Private,246439, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n33, Private,184784, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Local-gov,195262, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n63, Private,167967, Masters,14, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,46, United-States, <=50K\n48, Private,145636, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, >50K\n45, Local-gov,170099, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,228253, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K\n26, Local-gov,205570, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Federal-gov,506830, Some-college,10, Divorced, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n29, Private,412435, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, Outlying-US(Guam-USVI-etc), <=50K\n44, Private,163331, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K\n43, Federal-gov,222756, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, State-gov,318918, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,105188, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, Haiti, <=50K\n23, Private,199884, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n19, Private,96483, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,192203, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, <=50K\n52, Private,203392, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n32, Private,99646, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,167440, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,4508,0,40, United-States, <=50K\n25, ?,210095, 5th-6th,3, Never-married, ?, Unmarried, White, Female,0,0,25, El-Salvador, <=50K\n44, Private,219591, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n63, Private,30270, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,226020, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,60, ?, <=50K\n21, Private,314165, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, Columbia, <=50K\n32, Private,330715, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Self-emp-not-inc,35448, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K\n50, State-gov,172970, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n26, Self-emp-inc,189502, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, >50K\n35, Private,61518, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n31, Private,574005, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K\n24, Private,281356, 1st-4th,2, Never-married, Farming-fishing, Not-in-family, Other, Male,0,0,66, Mexico, <=50K\n40, Private,138975, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, <=50K\n31, Private,176969, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K\n43, Private,132393, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Poland, <=50K\n44, Private,194924, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K\n40, Private,478205, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K\n75, ?,128224, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n52, Local-gov,30118, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,3137,0,42, United-States, <=50K\n51, Self-emp-not-inc,290688, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, State-gov,85566, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,121874, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n40, Self-emp-not-inc,29036, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,35, United-States, <=50K\n33, Private,348152, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,73715, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K\n29, Private,151382, Assoc-voc,11, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,50, United-States, <=50K\n37, Private,236359, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K\n37, Private,19899, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,45, United-States, >50K\n19, Private,138760, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,354962, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n46, Private,181363, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,393360, Some-college,10, Never-married, Protective-serv, Own-child, Black, Male,0,0,30, United-States, <=50K\n34, Private,210736, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, ?, <=50K\n38, Private,110013, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,43, United-States, <=50K\n26, Private,193304, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,118551, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n57, Private,201991, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,157446, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K\n26, Local-gov,283217, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,247794, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,84, United-States, <=50K\n38, Private,43712, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,60, United-States, >50K\n61, Private,35649, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,6, United-States, <=50K\n36, Self-emp-not-inc,342719, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, ?, >50K\n61, ?,71467, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,3103,0,40, United-States, >50K\n17, Private,271837, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,16, United-States, <=50K\n40, Private,400061, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, United-States, >50K\n18, Private,62972, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n21, Private,174907, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,32, United-States, <=50K\n41, Private,176452, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Peru, <=50K\n46, Private,268358, 11th,7, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Federal-gov,176904, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,176683, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,52, United-States, <=50K\n39, Private,98077, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,42, United-States, <=50K\n36, Private,266461, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,48, United-States, <=50K\n51, Private,312477, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3908,0,40, United-States, <=50K\n27, Private,604045, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Local-gov,131568, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,97688, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,47, United-States, <=50K\n23, Private,373628, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n56, Private,367984, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n41, Self-emp-not-inc,193459, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n49, Private,250733, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K\n46, Federal-gov,199725, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Female,0,0,60, United-States, <=50K\n54, Private,156877, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Greece, <=50K\n38, Private,122076, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,43, United-States, >50K\n45, Self-emp-not-inc,216402, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, India, >50K\n50, Self-emp-not-inc,42402, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,30, United-States, >50K\n22, Private,315974, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,63437, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Ireland, <=50K\n27, Private,160786, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n34, Private,85374, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,465974, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K\n47, Private,78529, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n36, State-gov,98037, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n22, Private,178390, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,210940, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,2002,45, United-States, <=50K\n43, Private,64506, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n54, Private,128378, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n24, Private,234460, 9th,5, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, Dominican-Republic, <=50K\n29, Private,176760, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,55, United-States, <=50K\n40, State-gov,59460, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n18, Private,234428, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n31, Private,215047, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n57, Private,140426, Doctorate,16, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,40, Germany, >50K\n32, Private,191777, Masters,14, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n48, Private,148995, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,229773, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n24, Private,174461, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,22, United-States, <=50K\n24, Private,250647, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Guatemala, <=50K\n49, Local-gov,119904, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,30, United-States, >50K\n27, Self-emp-not-inc,151402, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1573,70, United-States, <=50K\n37, Private,184556, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,263561, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n19, Private,177945, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K\n45, Private,306889, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n54, Local-gov,54377, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,144351, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,625,40, United-States, <=50K\n22, Private,95566, Some-college,10, Married-spouse-absent, Sales, Own-child, Other, Female,0,0,22, Dominican-Republic, <=50K\n20, Private,181675, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,172129, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n49, ?,350759, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,105592, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n20, ?,200061, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, ?, <=50K\n34, Self-emp-inc,200689, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,386726, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,44, United-States, >50K\n28, Local-gov,135567, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,4101,0,60, United-States, <=50K\n38, Local-gov,282753, Assoc-voc,11, Divorced, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,137367, 11th,7, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n35, Self-emp-inc,153976, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n51, Self-emp-inc,96062, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n33, Private,152933, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n71, Private,97870, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,15, Germany, <=50K\n48, Private,254291, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n53, Self-emp-not-inc,101432, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,125776, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n64, Self-emp-not-inc,165479, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,5, United-States, <=50K\n42, Federal-gov,172307, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, >50K\n25, Private,176729, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n66, Private,174276, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,50, United-States, >50K\n59, Federal-gov,48102, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, ?, >50K\n42, Self-emp-not-inc,79531, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n24, Private,306460, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K\n19, Private,55284, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,25, United-States, <=50K\n26, Private,172063, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K\n22, Private,141028, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,30, United-States, <=50K\n33, Private,37274, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n63, Private,31389, 11th,7, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,12, United-States, <=50K\n20, Private,415913, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n33, Private,295591, 5th-6th,3, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n57, ?,202903, 7th-8th,4, Married-civ-spouse, ?, Wife, White, Female,1173,0,45, Puerto-Rico, <=50K\n56, Private,159770, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n70, Self-emp-not-inc,268832, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,24, United-States, >50K\n42, Private,126003, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n25, Local-gov,225193, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n28, Private,297735, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n80, Self-emp-not-inc,225892, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,1409,0,40, United-States, <=50K\n36, Private,605502, 10th,6, Never-married, Transport-moving, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n37, Private,174150, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,165466, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, >50K\n52, State-gov,189728, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n49, Private,360491, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,115040, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,262688, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,7688,0,50, United-States, >50K\n70, Self-emp-inc,158437, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n55, Private,41108, Some-college,10, Widowed, Farming-fishing, Not-in-family, White, Male,0,2258,62, United-States, >50K\n25, Private,149875, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n59, Private,131916, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Italy, >50K\n22, Private,60668, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,153132, Assoc-acdm,12, Separated, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n62, Private,155256, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n54, Private,244770, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n38, Private,312108, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n52, Private,102828, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n36, Private,93225, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n74, Self-emp-inc,231002, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, >50K\n35, Self-emp-not-inc,256992, 5th-6th,3, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, Mexico, <=50K\n41, Private,118721, 12th,8, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n30, Private,151989, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K\n25, Private,109112, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n35, Private,589809, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,13550,0,60, United-States, >50K\n38, Private,172538, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n34, State-gov,318982, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1848,40, United-States, >50K\n48, Private,204629, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n50, Self-emp-not-inc,99894, 5th-6th,3, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K\n19, Private,369463, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Private,79324, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,61178, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n20, Private,204226, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n17, Private,183110, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K\n42, Private,96321, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,167031, Some-college,10, Never-married, Other-service, Other-relative, Other, Female,0,0,25, Ecuador, <=50K\n36, Private,108997, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n65, Private,176796, Doctorate,16, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,134737, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,70, United-States, >50K\n33, Self-emp-inc,49795, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n32, State-gov,131588, Some-college,10, Never-married, Tech-support, Unmarried, Black, Female,0,0,20, United-States, <=50K\n25, Private,307643, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,351350, Some-college,10, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,260761, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n72, Private,156310, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,2414,0,12, United-States, <=50K\n36, Private,207789, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,52, United-States, <=50K\n67, Self-emp-not-inc,252842, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,1797,0,20, United-States, <=50K\n28, Private,294936, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,4064,0,45, United-States, <=50K\n24, Private,196269, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,0,40, United-States, <=50K\n17, Private,46402, 7th-8th,4, Never-married, Sales, Own-child, White, Male,0,0,8, United-States, <=50K\n32, Self-emp-not-inc,267161, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,30, United-States, <=50K\n67, Private,160456, 11th,7, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, ?,123983, Some-college,10, Never-married, ?, Other-relative, Asian-Pac-Islander, Male,0,0,10, Vietnam, <=50K\n51, Private,123053, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,5013,0,40, India, <=50K\n32, Private,426467, 1st-4th,2, Never-married, Craft-repair, Not-in-family, White, Male,3674,0,40, Guatemala, <=50K\n39, Private,269323, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n18, Self-emp-not-inc,42857, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,35, United-States, <=50K\n50, Self-emp-not-inc,183915, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n24, Private,211391, 10th,6, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n21, Local-gov,193130, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,86745, Bachelors,13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,16, United-States, <=50K\n34, Private,226525, Assoc-voc,11, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n68, ?,270339, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K\n49, Self-emp-not-inc,343742, 10th,6, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,32, United-States, <=50K\n50, Private,150975, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n33, Private,207301, Assoc-acdm,12, Divorced, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n18, Private,135924, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,184277, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,55, United-States, >50K\n20, Private,142233, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n46, Self-emp-inc,120902, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,37, United-States, >50K\n64, Local-gov,158412, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,126161, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n35, Private,149347, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,70, United-States, <=50K\n21, Private,322674, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K\n29, Private,55390, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K\n38, State-gov,200904, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,30, United-States, >50K\n45, Private,166056, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,116666, Masters,14, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,50, India, >50K\n41, Private,168324, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n37, Private,121772, HS-grad,9, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Hong, <=50K\n45, Private,126889, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,60, United-States, >50K\n20, ?,401690, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n45, Self-emp-inc,117605, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n20, Federal-gov,410446, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,20, United-States, <=50K\n63, Self-emp-inc,38472, Some-college,10, Widowed, Sales, Not-in-family, White, Female,14084,0,60, United-States, >50K\n35, Self-emp-not-inc,335704, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,70261, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n19, Private,47577, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n23, Private,117767, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n34, Private,179641, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n23, ?,343553, 11th,7, Never-married, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,328466, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, Mexico, >50K\n46, Private,265097, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,5, United-States, <=50K\n38, Local-gov,414791, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n55, Local-gov,48055, 12th,8, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,341672, Some-college,10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n48, Private,266764, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n35, Private,233571, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,50, United-States, <=50K\n53, Private,126592, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,7688,0,40, United-States, >50K\n47, Private,70754, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,138852, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,4650,0,22, United-States, <=50K\n32, Private,175856, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,193494, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,46, United-States, <=50K\n41, Private,104334, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n47, Federal-gov,197332, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,205844, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,25, United-States, <=50K\n45, Local-gov,206459, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K\n33, Private,202822, 7th-8th,4, Never-married, Other-service, Unmarried, Black, Female,0,0,14, Trinadad&Tobago, <=50K\n68, Without-pay,174695, Some-college,10, Married-spouse-absent, Farming-fishing, Unmarried, White, Female,0,0,25, United-States, <=50K\n44, Private,183342, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n49, Private,105614, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n45, Private,329603, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Poland, >50K\n41, Private,77373, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1848,65, United-States, >50K\n29, Private,207473, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Mexico, <=50K\n46, Private,149161, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, ?, <=50K\n19, Private,311974, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,25, Mexico, <=50K\n56, Private,175127, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,111625, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n29, Private,48895, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n21, Private,27049, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,25, United-States, <=50K\n38, Private,108907, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K\n52, Private,94988, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n22, Private,218343, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,227626, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,272856, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,50, England, <=50K\n39, Private,30916, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,276229, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,289106, Assoc-acdm,12, Separated, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n67, ?,39100, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,5, United-States, <=50K\n45, Private,192776, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,55, United-States, >50K\n61, Private,147280, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n18, Private,187770, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n51, State-gov,213296, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,107410, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n21, ?,170272, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n32, Private,86808, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K\n48, Private,149210, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Male,0,0,45, United-States, <=50K\n62, Private,123411, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,53, United-States, <=50K\n21, ?,306779, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,487347, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n19, Private,283945, 10th,6, Never-married, Handlers-cleaners, Other-relative, White, Male,0,1602,45, United-States, <=50K\n20, Private,375698, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n41, Private,271753, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,251854, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n47, Private,264052, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n43, State-gov,28451, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, >50K\n20, Private,282604, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,20, United-States, <=50K\n29, Private,185908, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,55, United-States, >50K\n51, Federal-gov,198186, Bachelors,13, Widowed, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n40, Private,242521, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,337940, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n30, Private,212064, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,129263, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n68, Local-gov,144761, HS-grad,9, Widowed, Protective-serv, Not-in-family, White, Male,0,1668,20, United-States, <=50K\n42, Private,109912, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, >50K\n41, Private,113324, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,187795, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n20, Private,173724, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n43, Private,185129, Bachelors,13, Divorced, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,73134, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K\n45, Private,236040, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,74194, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K\n31, Local-gov,102130, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n23, Private,140915, Some-college,10, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male,0,0,25, Philippines, <=50K\n69, ?,107575, HS-grad,9, Divorced, ?, Not-in-family, White, Female,2964,0,35, United-States, <=50K\n38, State-gov,34364, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,258037, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, Cuba, >50K\n18, Private,391585, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,233130, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, Mexico, <=50K\n30, Private,101345, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,3103,0,55, United-States, >50K\n23, ?,32897, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n26, Private,248612, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K\n37, Private,212465, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,198587, Some-college,10, Never-married, Tech-support, Not-in-family, Black, Female,2174,0,50, United-States, <=50K\n33, Private,405913, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Peru, >50K\n37, Private,588003, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n31, Private,46807, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,210498, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K\n35, Private,206951, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n28, Self-emp-not-inc,237466, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, >50K\n59, Private,279636, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, Guatemala, <=50K\n42, Private,29320, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,271262, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n27, ?,29361, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Female,0,0,45, United-States, <=50K\n32, Private,76773, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,109004, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n43, Private,226902, Bachelors,13, Divorced, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n46, Private,176552, 11th,7, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K\n41, Private,182303, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n59, Local-gov,296253, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,8614,0,60, United-States, >50K\n20, Private,218215, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n57, Private,165695, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K\n46, Self-emp-not-inc,51271, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,4386,0,70, United-States, <=50K\n45, Private,96100, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Local-gov,82393, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Male,0,1590,45, United-States, <=50K\n23, Private,248978, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n46, Private,254367, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,1590,48, United-States, <=50K\n55, ?,200235, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n58, Private,94429, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,87282, Assoc-voc,11, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n29, Private,119793, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,50, United-States, <=50K\n57, ?,85815, HS-grad,9, Divorced, ?, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K\n26, Local-gov,197764, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,306982, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n61, Private,80896, HS-grad,9, Separated, Transport-moving, Unmarried, Asian-Pac-Islander, Male,0,0,45, United-States, >50K\n31, Private,197886, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K\n43, Private,355728, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,121124, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,50, United-States, >50K\n51, State-gov,193720, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, >50K\n23, Private,347292, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,34506, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,326370, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, ?, <=50K\n22, ?,269221, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,63509, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n48, Private,148254, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,16, United-States, >50K\n33, Private,190511, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n46, Private,268022, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, ?, >50K\n18, Private,20057, 7th-8th,4, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n52, Private,206862, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,189498, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,45, United-States, >50K\n28, Private,166320, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,289886, Some-college,10, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,30, Vietnam, <=50K\n23, ?,86337, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K\n45, Local-gov,54190, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,147069, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K\n56, Private,282023, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n38, Self-emp-inc,379485, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, United-States, <=50K\n81, Private,129338, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,10, United-States, <=50K\n22, Private,99829, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K\n43, State-gov,182254, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,109428, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1740,40, United-States, <=50K\n42, Self-emp-not-inc,351161, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n66, ?,210750, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n50, Private,132716, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,242984, Some-college,10, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,101509, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, ?,509629, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n36, Private,119957, Bachelors,13, Separated, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K\n33, Private,69727, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n36, Private,204590, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,213,40, United-States, <=50K\n37, ?,50862, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,55, United-States, <=50K\n50, Private,182907, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n55, Private,206487, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,168015, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,149396, Some-college,10, Never-married, Other-service, Other-relative, Black, Female,0,0,30, Haiti, <=50K\n39, Federal-gov,184964, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K\n34, Private,398988, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,128777, 7th-8th,4, Divorced, Craft-repair, Unmarried, White, Female,0,0,55, United-States, <=50K\n60, Private,252413, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,32, United-States, >50K\n33, Private,181372, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n58, Private,216851, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, El-Salvador, <=50K\n27, Private,106935, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, State-gov,363875, Some-college,10, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n63, Private,287277, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,172342, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,308498, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,15, United-States, <=50K\n29, Private,122127, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,8614,0,40, United-States, >50K\n31, Private,106437, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, >50K\n49, Self-emp-inc,306289, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n45, Self-emp-inc,201699, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n42, Private,282062, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,235108, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,339482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,181820, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,99335, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,367533, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2580,0,40, United-States, <=50K\n57, Private,64960, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,45, United-States, <=50K\n50, Private,269095, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,58683, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n35, Self-emp-not-inc,89508, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3908,0,60, United-States, <=50K\n19, Private,100999, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n18, Private,34125, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,28, United-States, <=50K\n20, Private,115057, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,139126, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,104632, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K\n40, Federal-gov,178866, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n54, Private,139850, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,45, United-States, >50K\n28, Private,61435, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n38, Private,309230, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,45613, Some-college,10, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,272615, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,54318, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,165519, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,48495, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K\n38, Private,143123, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n67, Self-emp-not-inc,431426, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,20051,0,4, United-States, >50K\n75, Private,256474, Masters,14, Never-married, Protective-serv, Not-in-family, White, Male,0,0,16, United-States, <=50K\n41, Private,191451, Masters,14, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,60, United-States, >50K\n37, Private,99146, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n47, Private,235986, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,50, Cuba, <=50K\n34, Local-gov,429897, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Mexico, >50K\n25, Private,189897, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Private,145155, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, State-gov,192257, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,2174,0,40, United-States, <=50K\n35, Private,194960, HS-grad,9, Never-married, Farming-fishing, Not-in-family, Other, Male,0,0,40, Puerto-Rico, <=50K\n44, Local-gov,357814, 12th,8, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,35, Mexico, <=50K\n27, Local-gov,137629, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K\n42, Private,156526, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,33, United-States, <=50K\n26, Private,189238, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,38, El-Salvador, <=50K\n23, Private,202989, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Canada, <=50K\n28, Private,25684, HS-grad,9, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,192939, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n28, Private,138692, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n29, Private,222249, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,201318, 9th,5, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,3411,0,50, Columbia, <=50K\n23, ?,190650, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,35, United-States, <=50K\n30, Private,56004, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K\n48, Private,182313, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,138962, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,72, ?, <=50K\n38, Private,277248, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Cuba, >50K\n24, Private,125031, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n47, State-gov,216414, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,171176, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,48, ?, <=50K\n29, Private,356133, Some-college,10, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K\n45, Private,185397, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,308285, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,56651, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, Local-gov,154863, 9th,5, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Trinadad&Tobago, >50K\n46, Federal-gov,44706, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, >50K\n34, ?,222548, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,4, United-States, <=50K\n32, Private,248754, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,104981, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,315065, Some-college,10, Never-married, Other-service, Unmarried, White, Male,0,0,35, Mexico, <=50K\n46, Private,188325, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,221661, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n59, Private,81973, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n31, Private,169122, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n48, Private,216734, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,98101, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,292511, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n20, Private,122971, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n29, Private,124953, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K\n54, Private,123011, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,76417, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K\n43, Private,351576, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n46, Federal-gov,33794, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,3103,0,40, United-States, >50K\n33, Private,79923, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n33, Private,117983, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K\n36, Private,186110, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,187589, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5178,0,40, United-States, >50K\n37, ?,319685, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,54, United-States, >50K\n64, ?,64101, 12th,8, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K\n45, Self-emp-not-inc,162923, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,288519, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,33798, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,195734, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,2354,0,40, United-States, <=50K\n23, Private,214120, HS-grad,9, Never-married, Priv-house-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,113515, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,261230, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,98515, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,187715, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n23, ?,214238, 7th-8th,4, Never-married, ?, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n32, Private,123964, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,4386,0,50, United-States, <=50K\n26, Private,68991, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K\n52, Private,292110, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,198320, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K\n33, Private,709798, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n60, Private,372838, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,160402, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,38, United-States, <=50K\n45, Private,98475, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n37, Local-gov,97136, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n29, Private,136985, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,187356, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,66, United-States, <=50K\n46, State-gov,107231, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1740,40, United-States, <=50K\n20, Private,305874, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,290922, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n48, Private,248254, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298,0,40, United-States, >50K\n38, Private,160808, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,4386,0,48, United-States, <=50K\n36, Private,247321, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n53, Private,247651, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,56, United-States, <=50K\n29, Private,214702, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1974,35, United-States, <=50K\n64, Private,75577, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,2580,0,50, United-States, <=50K\n34, Private,561334, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n36, ?,224886, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,401134, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,258170, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K\n68, ?,141181, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K\n37, Private,292370, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,50, ?, >50K\n22, Private,300871, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,136721, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,140399, Some-college,10, Never-married, ?, Other-relative, White, Female,0,0,30, United-States, <=50K\n36, Private,109133, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,186534, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n25, Private,226891, Assoc-voc,11, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K\n33, Private,241885, Some-college,10, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,97165, Some-college,10, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K\n33, Private,212918, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,70, United-States, <=50K\n24, Private,211585, HS-grad,9, Married-civ-spouse, Transport-moving, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Local-gov,178309, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-inc,481987, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,215211, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n33, Local-gov,194901, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,340885, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1977,40, United-States, >50K\n33, Local-gov,190290, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,56, United-States, <=50K\n26, Private,188569, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n22, Private,162282, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,287315, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n31, Self-emp-inc,304212, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K\n73, ?,200878, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K\n38, Local-gov,256864, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,46401, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n36, Private,37778, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,191722, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,54, United-States, >50K\n64, Self-emp-not-inc,103643, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, >50K\n24, Private,143766, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,55, United-States, <=50K\n21, State-gov,204425, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K\n28, Private,156257, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n18, ?,113185, 11th,7, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n41, Self-emp-inc,112262, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,28031, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n58, Private,320102, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n50, Self-emp-not-inc,334273, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,8, United-States, <=50K\n30, Private,356015, 11th,7, Married-spouse-absent, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K\n47, Private,278900, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,142528, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n50, Federal-gov,343014, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Private,201017, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, Scotland, <=50K\n31, Self-emp-not-inc,81030, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-not-inc,34007, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, >50K\n31, Private,29662, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n53, Private,347446, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Private,90668, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,190403, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,109015, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,50, United-States, >50K\n38, Private,234807, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n18, Private,157131, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n50, Private,94081, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n78, Private,135566, HS-grad,9, Widowed, Sales, Unmarried, White, Female,2329,0,12, United-States, <=50K\n27, Private,103164, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,570002, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n24, State-gov,215797, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,289405, Some-college,10, Never-married, Sales, Own-child, White, Male,0,1602,15, United-States, <=50K\n25, Private,239461, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K\n34, Private,101510, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, >50K\n30, Self-emp-inc,443546, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n37, Federal-gov,141029, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,207202, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K\n67, Without-pay,137192, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,12, Philippines, <=50K\n35, Private,222989, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n75, Self-emp-not-inc,36325, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n47, Private,73394, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K\n23, Private,249046, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n51, Federal-gov,100653, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K\n42, Local-gov,1125613, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n32, Private,101352, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,32, United-States, >50K\n54, Private,340476, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n20, Private,192711, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,273362, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,100451, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,38, United-States, >50K\n35, Private,85399, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Local-gov,168191, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K\n27, Private,153475, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,196773, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K\n41, Private,180138, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n22, Private,48347, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,175071, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,15024,0,40, United-States, >50K\n66, ?,129476, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K\n25, Private,181772, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,284317, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n20, Private,237305, Some-college,10, Never-married, Machine-op-inspct, Other-relative, Black, Female,0,0,35, United-States, <=50K\n67, Self-emp-inc,111321, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,16, United-States, <=50K\n44, Private,278476, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n42, Private,39060, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n29, Local-gov,205262, Some-college,10, Never-married, Adm-clerical, Not-in-family, Other, Male,0,0,40, Ecuador, <=50K\n48, Private,198000, Some-college,10, Never-married, Craft-repair, Unmarried, White, Female,0,0,38, United-States, >50K\n25, Private,397962, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K\n31, Private,178370, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,99, United-States, >50K\n48, Private,121253, Bachelors,13, Married-spouse-absent, Sales, Unmarried, White, Female,0,2472,70, United-States, >50K\n40, Private,56072, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n26, Private,176756, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,60374, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n52, Private,165681, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-not-inc,287037, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,55568, Bachelors,13, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,50, United-States, <=50K\n48, Private,155509, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,16, Trinadad&Tobago, <=50K\n19, Private,201178, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n27, Private,37250, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1651,40, United-States, <=50K\n59, Private,314149, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,1740,50, United-States, <=50K\n19, Private,264593, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n32, Private,159589, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n39, Private,454915, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n33, Private,285131, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,150057, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,55390, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,45, United-States, <=50K\n23, Private,314894, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,45, United-States, <=50K\n59, ?,184948, Assoc-voc,11, Divorced, ?, Not-in-family, White, Male,0,0,48, United-States, <=50K\n25, Local-gov,124483, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,20, India, <=50K\n37, Self-emp-inc,97986, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, <=50K\n31, Private,210562, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n24, Private,233280, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,37, United-States, <=50K\n53, Local-gov,164300, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, Dominican-Republic, <=50K\n26, Private,227489, Some-college,10, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, ?, <=50K\n25, Private,263773, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n59, Private,96459, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Federal-gov,116608, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,180007, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,305466, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,238917, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, El-Salvador, <=50K\n25, Private,129784, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,367390, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n20, Private,235691, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n63, ?,166425, Some-college,10, Widowed, ?, Not-in-family, Black, Female,0,0,24, United-States, <=50K\n43, Self-emp-not-inc,160369, 10th,6, Divorced, Farming-fishing, Unmarried, White, Male,0,0,25, United-States, <=50K\n39, Private,206298, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,183523, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n17, Private,217342, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,5, United-States, <=50K\n40, State-gov,141858, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,72, United-States, <=50K\n50, Private,213296, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n23, Self-emp-inc,201682, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n60, Private,178312, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,65, United-States, >50K\n30, Private,269723, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,200593, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,32616, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n24, Private,259510, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,30, United-States, <=50K\n45, Self-emp-not-inc,271828, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n58, Self-emp-inc,78104, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K\n22, Private,113703, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,20, United-States, <=50K\n41, Private,187802, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,440706, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,191834, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n33, Private,149184, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n49, Self-emp-inc,315998, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,159589, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n38, Private,60313, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Local-gov,32855, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n58, Private,142326, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n61, Self-emp-not-inc,201965, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,172333, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n32, Private,206541, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n33, Self-emp-not-inc,177828, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n28, Private,303440, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n22, Private,89991, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,11, United-States, <=50K\n35, Private,186009, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n59, Private,170988, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n45, Self-emp-inc,180239, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7688,0,40, ?, >50K\n50, Self-emp-not-inc,213654, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K\n56, Self-emp-inc,32316, 12th,8, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,150371, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, ?,387871, 10th,6, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n28, Private,314649, Some-college,10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n42, Private,240255, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n60, Private,206339, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-inc,230168, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,91, United-States, <=50K\n42, Private,171424, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,45, United-States, >50K\n36, Private,148581, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n52, Local-gov,89705, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n42, Self-emp-not-inc,248406, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n26, Local-gov,72594, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,55, United-States, >50K\n31, Local-gov,137537, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Private,225065, 5th-6th,3, Separated, Sales, Unmarried, White, Female,0,0,40, Mexico, <=50K\n35, Private,217274, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n19, Private,69151, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n59, Self-emp-not-inc,81107, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,80, United-States, >50K\n38, Private,205852, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,201117, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,397307, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n39, Private,115422, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n64, Private,114994, Some-college,10, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Local-gov,39815, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n49, Private,151584, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, United-States, <=50K\n19, Private,164938, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n36, Self-emp-not-inc,179896, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,3137,0,40, United-States, <=50K\n26, Private,253841, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K\n27, Private,177955, 5th-6th,3, Never-married, Priv-house-serv, Other-relative, White, Female,2176,0,40, El-Salvador, <=50K\n66, Private,113323, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,40, United-States, >50K\n38, Private,320305, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,229287, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Female,0,0,25, United-States, <=50K\n19, Private,100790, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,331419, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,4787,0,50, United-States, >50K\n22, Private,171419, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n60, Private,202226, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,44, United-States, >50K\n54, Private,308087, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,18, United-States, >50K\n46, Private,220124, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,37, United-States, <=50K\n33, State-gov,31703, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,153908, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,180599, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K\n18, ?,252046, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n60, Self-emp-inc,160062, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K\n39, Self-emp-not-inc,148443, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n23, Private,91733, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,3325,0,40, United-States, <=50K\n39, Private,176634, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Local-gov,74949, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,165484, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n24, Private,44738, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n32, Private,130040, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,234537, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n39, Private,179016, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n27, Private,335421, Masters,14, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n45, State-gov,312678, Masters,14, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,38, United-States, <=50K\n22, ?,313786, HS-grad,9, Divorced, ?, Other-relative, Black, Female,0,0,40, United-States, <=50K\n31, Private,198751, Bachelors,13, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n63, Private,131519, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,285060, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n28, State-gov,189765, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n23, Private,130905, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,146325, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K\n33, Private,102821, 12th,8, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n22, ?,137876, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,388998, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,13550,0,46, United-States, >50K\n29, Private,82910, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,309122, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n60, Private,532845, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, >50K\n46, Private,195833, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, ?, <=50K\n67, ?,98882, Masters,14, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, ?,133515, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, France, <=50K\n23, Private,55215, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,55, United-States, <=50K\n38, Self-emp-inc,176357, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n60, Private,185836, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n20, Self-emp-not-inc,54152, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,35, United-States, <=50K\n37, Private,212437, Some-college,10, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,48, United-States, <=50K\n37, Private,224566, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n58, Private,200040, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,41526, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,30, Canada, <=50K\n27, Private,89598, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,60, United-States, <=50K\n33, Private,323811, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K\n43, State-gov,30824, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Federal-gov,181096, Some-college,10, Never-married, Tech-support, Own-child, Black, Male,0,0,20, United-States, <=50K\n45, Private,217953, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K\n44, Private,222635, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n52, ?,121942, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,346871, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,4787,0,46, United-States, >50K\n31, Private,184889, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,20, United-States, <=50K\n18, Federal-gov,101709, 11th,7, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,15, Philippines, <=50K\n20, Private,125010, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n32, Private,53135, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,498328, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n46, Private,604380, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Private,174327, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n27, Self-emp-not-inc,357283, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n18, Federal-gov,280728, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,32, United-States, <=50K\n69, Self-emp-not-inc,185039, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,12, United-States, >50K\n50, Self-emp-inc,251240, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,143046, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Greece, <=50K\n32, Private,210541, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n43, Private,172364, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, <=50K\n52, Self-emp-not-inc,138611, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,55, United-States, >50K\n50, Private,176227, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K\n35, Private,139647, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n20, ?,174461, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,5, United-States, <=50K\n73, ?,123345, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,65, United-States, <=50K\n46, Private,164427, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K\n58, Private,205235, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n46, Self-emp-inc,192779, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K\n40, Private,163434, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n25, Private,264055, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,336215, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n33, Federal-gov,78307, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n49, Federal-gov,233059, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,91433, 10th,6, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n56, Local-gov,157525, Some-college,10, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,48, United-States, <=50K\n24, Private,86065, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Female,0,0,40, Mexico, <=50K\n42, Private,22831, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,180181, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,212617, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,66, Ecuador, <=50K\n22, ?,125905, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,336793, Bachelors,13, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n42, Private,314649, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n22, Private,283969, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K\n32, Self-emp-not-inc,35595, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,410240, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n66, Private,178120, 5th-6th,3, Divorced, Priv-house-serv, Not-in-family, Black, Female,0,0,15, United-States, <=50K\n26, State-gov,294400, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, <=50K\n46, Private,65353, Some-college,10, Divorced, Transport-moving, Own-child, White, Male,3325,0,55, United-States, <=50K\n55, Private,189719, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n24, Private,23438, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,178037, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n22, Private,109815, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,197860, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,271933, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,141663, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,15, United-States, <=50K\n19, ?,199609, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n56, Private,92215, 9th,5, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, >50K\n47, Private,93449, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,60, Japan, <=50K\n29, Private,235393, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n53, Private,151864, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,189277, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n50, ?,204577, Bachelors,13, Married-civ-spouse, ?, Husband, Black, Male,0,1902,60, United-States, >50K\n42, Private,344572, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n21, Private,265356, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-inc,166880, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,70, United-States, <=50K\n60, Private,188650, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, ?, >50K\n69, Private,213249, Assoc-voc,11, Widowed, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n31, Private,112627, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n48, Private,125120, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,55, United-States, <=50K\n23, Private,60409, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,243190, Assoc-acdm,12, Separated, Craft-repair, Unmarried, Asian-Pac-Islander, Male,8614,0,40, United-States, >50K\n47, Private,583755, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n36, Private,68089, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n39, Private,306646, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,186573, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,0,0,46, United-States, <=50K\n27, Private,279580, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,10520,0,45, United-States, >50K\n36, Private,437909, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,420691, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n33, Federal-gov,94193, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,154076, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n52, Private,145879, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K\n23, Private,208946, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,32, United-States, <=50K\n33, Private,231826, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n30, Private,178587, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n35, Private,213208, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,38, Jamaica, <=50K\n35, ?,139770, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, >50K\n27, Private,153869, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,37, United-States, <=50K\n24, Private,88676, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n44, Local-gov,151089, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,138621, Assoc-voc,11, Separated, Priv-house-serv, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n45, Private,30457, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n75, Self-emp-not-inc,213349, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K\n47, Private,192776, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n64, Private,192884, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n54, Private,103024, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,0,0,42, United-States, >50K\n41, Federal-gov,510072, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,178615, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,249956, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n51, Private,177705, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n45, Self-emp-inc,121124, Prof-school,15, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n18, ?,25837, 11th,7, Never-married, ?, Own-child, White, Male,0,0,72, United-States, <=50K\n43, Private,557349, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Yugoslavia, <=50K\n30, Private,89735, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,1504,40, United-States, <=50K\n32, Private,222548, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Private,47314, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, ?, >50K\n61, Private,316359, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,200089, 1st-4th,2, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,40, England, <=50K\n56, Private,271795, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,49, United-States, <=50K\n28, Private,31801, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,60, United-States, <=50K\n23, Private,196508, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,40, United-States, <=50K\n55, Private,189933, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,84, United-States, <=50K\n27, ?,501172, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,419,20, Mexico, <=50K\n33, Private,361497, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K\n22, Private,150175, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n43, Local-gov,155106, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,62272, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,189916, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n18, Private,324011, 9th,5, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n35, Private,105803, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n67, ?,53588, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,107998, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,340567, 1st-4th,2, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, Mexico, <=50K\n39, Private,167777, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n29, Private,228860, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K\n45, Self-emp-inc,40666, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n44, Private,277488, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K\n42, Local-gov,195897, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,242984, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Local-gov,236497, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,312634, 11th,7, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n64, Private,59829, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, France, <=50K\n30, Private,24292, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n43, Local-gov,180407, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,42, Germany, <=50K\n49, Self-emp-not-inc,121238, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n35, Private,281982, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, Self-emp-not-inc,348739, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n49, Private,194189, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,329130, 11th,7, Separated, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,205939, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,2202,0,4, United-States, <=50K\n31, Private,62165, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n26, Private,224361, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,34722, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n38, Private,175972, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,359428, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n24, ?,138504, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,37, United-States, <=50K\n18, Private,268952, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n32, Private,257978, Assoc-voc,11, Widowed, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n27, Private,118799, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, State-gov,78356, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, Jamaica, <=50K\n30, Self-emp-not-inc,609789, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,123157, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,38, United-States, <=50K\n74, Private,84197, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,10, United-States, <=50K\n36, Private,162312, HS-grad,9, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,70, South, <=50K\n36, Private,138441, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,55, United-States, <=50K\n29, Private,239753, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,2057,20, United-States, <=50K\n39, Private,262158, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n25, Self-emp-inc,133373, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,80, United-States, <=50K\n21, Private,57916, HS-grad,9, Separated, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n39, State-gov,142897, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n38, Private,161016, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K\n20, Private,227491, HS-grad,9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,25, United-States, <=50K\n51, Private,306790, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,33831, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,188972, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,313546, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, Private,220585, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n25, Local-gov,476599, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,163665, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n36, Private,306646, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n41, Private,206470, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Germany, <=50K\n34, Private,169583, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n19, State-gov,127085, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n18, Private,152044, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,3, United-States, <=50K\n36, Private,111387, 10th,6, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,102318, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,40, United-States, >50K\n29, Private,213692, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K\n23, Private,163665, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,32, United-States, <=50K\n35, Private,30529, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,290226, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,182136, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,73266, Some-college,10, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n19, State-gov,60412, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n70, Private,187891, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,194304, Some-college,10, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,55, United-States, <=50K\n35, Private,160910, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,148300, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n39, Private,165743, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n50, Private,123174, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,37, ?, >50K\n43, Private,184018, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n37, Federal-gov,188069, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Philippines, >50K\n51, Private,138852, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,7298,0,40, El-Salvador, >50K\n29, ?,78529, 10th,6, Separated, ?, Unmarried, White, Female,0,0,12, United-States, <=50K\n20, Private,164441, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n21, Private,199419, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,181342, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female,0,0,40, United-States, <=50K\n44, Private,173382, Assoc-acdm,12, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n17, Private,184924, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,1719,15, United-States, <=50K\n25, Private,215384, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, State-gov,424094, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Federal-gov,212120, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,185764, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K\n46, Local-gov,133969, Masters,14, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n22, Private,32616, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n49, Private,149210, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n21, Private,161210, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n53, Private,285621, Masters,14, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n43, Private,282069, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,42, United-States, <=50K\n22, Private,97508, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K\n33, Private,356823, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,10520,0,45, United-States, >50K\n28, Private,171133, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,231638, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,0,0,24, United-States, <=50K\n40, Private,191342, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, China, >50K\n50, Private,226497, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n48, Self-emp-not-inc,373606, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,65, United-States, >50K\n30, Private,39150, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,288840, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K\n34, Private,293703, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n42, Private,79586, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n48, Self-emp-not-inc,82098, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,65, United-States, <=50K\n38, Private,245372, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K\n29, Private,78261, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,355996, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n64, Private,218490, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,27828,0,55, United-States, >50K\n44, Private,110908, Assoc-voc,11, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,25, United-States, <=50K\n42, Federal-gov,34218, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n49, Private,248895, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,363707, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,272411, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,128033, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n20, Private,177287, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K\n44, Private,197344, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n45, Private,285858, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n27, Self-emp-inc,193868, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n18, Private,232082, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,27408, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n45, Private,247043, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K\n27, Local-gov,162404, HS-grad,9, Never-married, Protective-serv, Not-in-family, Black, Male,2174,0,40, United-States, <=50K\n64, Private,236341, 5th-6th,3, Widowed, Other-service, Not-in-family, Black, Female,0,0,16, United-States, <=50K\n66, Local-gov,179285, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3432,0,20, United-States, <=50K\n34, Private,30433, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n45, Self-emp-not-inc,102771, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n42, Self-emp-not-inc,221172, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,108116, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K\n26, Private,375499, 10th,6, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,20, United-States, <=50K\n27, Private,178688, Assoc-voc,11, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n21, Private,276709, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n23, ?,238087, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n47, Private,84790, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, State-gov,37482, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n46, State-gov,178686, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n35, ?,153926, HS-grad,9, Married-civ-spouse, ?, Wife, Black, Female,0,0,40, United-States, <=50K\n55, Private,110748, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n28, Private,116613, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,24, United-States, <=50K\n21, Private,108687, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,365739, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,195284, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, >50K\n38, Private,125933, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K\n37, Private,140854, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n81, Self-emp-not-inc,193237, 1st-4th,2, Widowed, Sales, Other-relative, White, Male,0,0,45, Mexico, <=50K\n41, Private,46870, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,351324, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,189265, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,236564, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Federal-gov,557644, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,374454, HS-grad,9, Divorced, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n65, ?,160654, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n18, Private,122775, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n26, Private,214413, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Male,6497,0,48, United-States, <=50K\n30, Private,329425, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,48, United-States, <=50K\n61, Private,178312, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, <=50K\n21, Private,241951, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n53, Private,130143, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n41, Self-emp-inc,114580, Prof-school,15, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,2415,55, United-States, >50K\n43, Self-emp-inc,130126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K\n60, Private,399387, 7th-8th,4, Separated, Priv-house-serv, Unmarried, Black, Female,0,0,15, United-States, <=50K\n47, Private,163814, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,69586, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n32, Private,237903, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, ?,219897, Masters,14, Never-married, ?, Not-in-family, White, Female,0,0,35, Canada, <=50K\n31, Private,243165, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n33, State-gov,173806, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n27, Self-emp-not-inc,65308, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n44, Private,408531, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, >50K\n44, Private,235786, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,45, United-States, >50K\n37, Private,314963, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,81206, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n51, Federal-gov,293196, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n51, Private,95329, Masters,14, Divorced, Protective-serv, Unmarried, White, Male,0,0,40, United-States, <=50K\n25, Local-gov,45474, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,372728, Bachelors,13, Never-married, Other-service, Not-in-family, Black, Female,0,0,24, Jamaica, <=50K\n29, Federal-gov,116394, Bachelors,13, Married-AF-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n36, Self-emp-not-inc,34180, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,70, United-States, >50K\n55, Private,327589, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,706180, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,32550, 10th,6, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,173858, Prof-school,15, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n51, Self-emp-inc,230095, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Private,139012, Assoc-voc,11, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,2463,0,40, Vietnam, <=50K\n62, Private,174711, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K\n37, Private,171150, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,60, United-States, >50K\n30, Self-emp-inc,77689, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n27, Private,193898, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,52, United-States, <=50K\n32, Private,195000, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K\n23, Private,303121, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n35, Self-emp-not-inc,188540, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,158656, Assoc-acdm,12, Never-married, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K\n45, Self-emp-inc,204196, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, >50K\n27, Private,183802, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,148995, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,190903, 11th,7, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K\n37, State-gov,173780, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,30, United-States, <=50K\n42, Private,251239, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n45, Private,112761, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, State-gov,425785, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,197731, Assoc-voc,11, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, Private,119156, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K\n56, Private,133819, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,185556, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,12, United-States, >50K\n50, Private,109277, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n48, Self-emp-inc,36020, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n45, Private,45857, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,36, United-States, <=50K\n55, Private,184882, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,50, United-States, >50K\n41, State-gov,342834, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, Private,234743, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,24, United-States, <=50K\n29, Federal-gov,106179, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,1408,40, United-States, <=50K\n37, Private,177895, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,5013,0,40, United-States, <=50K\n63, ?,257876, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,86067, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n64, Private,66634, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,27828,0,50, United-States, >50K\n35, Private,138441, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,35, United-States, <=50K\n22, Private,279802, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n58, Private,407138, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2936,0,50, Mexico, <=50K\n58, Private,31732, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n24, Private,204172, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,48, United-States, <=50K\n34, Private,100593, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,6, United-States, <=50K\n33, Local-gov,162623, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n33, Self-emp-not-inc,80933, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n17, Private,47425, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n27, Private,107812, Bachelors,13, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,40, United-States, >50K\n20, Self-emp-inc,104443, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n52, Private,117496, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,1755,40, United-States, >50K\n30, Private,209691, 7th-8th,4, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,314525, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,190772, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n64, Local-gov,199298, 5th-6th,3, Divorced, Other-service, Not-in-family, White, Female,0,0,45, ?, <=50K\n49, Private,187370, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n38, Private,216129, Bachelors,13, Divorced, Other-service, Not-in-family, Black, Female,0,0,60, ?, <=50K\n46, Federal-gov,219293, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,80, United-States, >50K\n17, Private,136363, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n45, Private,233799, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n27, Private,207611, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-inc,178344, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n26, Self-emp-inc,187652, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,78, United-States, >50K\n23, Private,188545, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,1974,20, United-States, <=50K\n44, Local-gov,58124, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,45, United-States, <=50K\n36, Private,321733, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,1741,40, United-States, <=50K\n35, Private,206253, 9th,5, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, ?,152140, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n56, Private,76281, Bachelors,13, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Private,606752, Masters,14, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,29933, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, >50K\n29, Private,114158, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,3325,0,10, United-States, <=50K\n55, ?,227203, Assoc-acdm,12, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,5, United-States, <=50K\n35, Self-emp-inc,65624, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,34146, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,68, United-States, <=50K\n36, Self-emp-not-inc,34378, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,3908,0,75, United-States, <=50K\n33, Private,141490, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,45, United-States, <=50K\n34, Private,199227, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n24, Private,224954, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,231357, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Self-emp-inc,113530, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n38, Private,22245, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,36383, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, >50K\n35, Private,320305, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K\n67, ?,201657, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,60, United-States, <=50K\n34, Private,48935, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n46, Private,101455, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n19, Local-gov,243960, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K\n26, Private,90915, Assoc-acdm,12, Never-married, Other-service, Own-child, Black, Female,0,0,15, United-States, <=50K\n28, Private,315287, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n47, Private,106255, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Local-gov,215895, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Italy, >50K\n33, Self-emp-not-inc,170979, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n44, Private,210525, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,195488, HS-grad,9, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, Guatemala, <=50K\n18, Private,152246, Some-college,10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,16, United-States, <=50K\n60, Self-emp-not-inc,187794, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,60, United-States, >50K\n44, Private,110396, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,14084,0,56, United-States, >50K\n81, ?,89391, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, >50K\n43, State-gov,254817, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,41777, 12th,8, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K\n58, Self-emp-not-inc,234841, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K\n32, Private,79586, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n40, Private,115331, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n32, Private,63564, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n21, Private,132053, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1721,35, United-States, <=50K\n44, Private,370502, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, Mexico, <=50K\n33, Private,59083, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,45, United-States, >50K\n25, Private,69413, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Private,32981, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,176683, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n62, ?,144116, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,209213, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,40, ?, <=50K\n33, State-gov,150657, Bachelors,13, Never-married, Prof-specialty, Other-relative, Black, Female,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,124793, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n50, Private,22211, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n46, Private,270565, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n22, Private,38251, Assoc-acdm,12, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n66, State-gov,162945, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, Black, Male,20051,0,55, United-States, >50K\n52, Private,195638, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K\n57, Self-emp-not-inc,118806, 1st-4th,2, Widowed, Craft-repair, Other-relative, White, Female,0,1602,45, Columbia, <=50K\n41, Self-emp-not-inc,44006, Assoc-voc,11, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,119679, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1579,42, United-States, <=50K\n19, Private,333953, 12th,8, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K\n45, Local-gov,172111, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,60, United-States, <=50K\n51, Self-emp-not-inc,32372, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,0,0,99, United-States, <=50K\n69, ?,117525, Assoc-acdm,12, Divorced, ?, Unmarried, White, Female,0,0,1, United-States, <=50K\n45, Self-emp-not-inc,123681, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n48, Private,317360, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n60, Federal-gov,119832, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n42, Private,135056, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n19, State-gov,135162, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n39, Self-emp-not-inc,194004, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K\n46, Private,177633, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n58, Local-gov,212864, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,3908,0,40, United-States, <=50K\n36, Private,30509, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K\n21, Private,118712, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K\n41, Private,199018, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,151799, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n29, Private,181280, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,232024, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n33, Private,226267, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, <=50K\n38, Private,240467, Masters,14, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,35, United-States, <=50K\n42, Private,154374, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n24, State-gov,231473, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, United-States, <=50K\n59, Private,158813, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n36, Private,346478, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,45, United-States, >50K\n54, Private,215990, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,7688,0,40, United-States, >50K\n39, Private,177154, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n42, Self-emp-not-inc,238188, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,96, United-States, <=50K\n54, Self-emp-not-inc,156800, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,130620, Assoc-acdm,12, Married-spouse-absent, Craft-repair, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K\n50, Private,175339, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,37937, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K\n48, Federal-gov,166634, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,40, United-States, >50K\n31, Private,221167, Bachelors,13, Widowed, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n56, Private,179641, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n28, Local-gov,213195, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n34, Private,157747, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,227840, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,169104, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K\n44, Private,186916, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,60, United-States, >50K\n34, Private,37646, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K\n26, Private,157028, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K\n37, Private,188774, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,2824,40, United-States, >50K\n64, ?,146272, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,3411,0,15, United-States, <=50K\n25, Private,182656, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,200471, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,358465, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,78602, 11th,7, Never-married, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K\n44, Private,213416, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n46, Local-gov,345911, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, ?,119522, Bachelors,13, Divorced, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K\n42, Federal-gov,126320, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,235271, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n61, Private,141745, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n47, Private,359461, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,109351, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,8614,0,45, United-States, >50K\n62, Private,148113, 10th,6, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,75478, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,100375, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K\n19, ?,28455, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n33, Private,231413, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,119421, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,42, United-States, <=50K\n17, Private,206998, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K\n58, Private,183810, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-inc,187053, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n34, Local-gov,155781, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,4064,0,50, United-States, <=50K\n55, ?,193895, 7th-8th,4, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,48520, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Self-emp-inc,170125, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,107584, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,196742, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, ?,244214, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K\n48, Local-gov,127921, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,42617, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n47, Local-gov,191389, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n38, Private,187983, Prof-school,15, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n18, Private,215110, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n25, Private,230292, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,90159, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,32, United-States, >50K\n40, Private,175398, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n56, Self-emp-not-inc,53366, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n50, Private,46155, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K\n55, Private,61708, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,6418,0,50, United-States, >50K\n32, Local-gov,112650, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,173682, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, >50K\n28, Private,160981, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,52, United-States, <=50K\n53, Private,72257, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n26, ?,182332, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n60, Local-gov,48788, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,5455,0,55, United-States, <=50K\n21, Private,417668, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n29, Private,107458, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n73, Private,147551, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2174,50, United-States, >50K\n43, Self-emp-inc,33729, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n45, Private,101977, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n35, ?,374716, 9th,5, Married-civ-spouse, ?, Wife, White, Female,0,0,35, United-States, <=50K\n36, Private,214378, HS-grad,9, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, >50K\n25, Private,111243, HS-grad,9, Never-married, Sales, Other-relative, White, Female,0,0,50, United-States, <=50K\n38, Private,252947, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n30, Local-gov,118500, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,195612, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n41, Local-gov,174575, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,190391, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n64, Private,166715, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n41, Self-emp-not-inc,142725, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n37, Private,73471, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,47, United-States, >50K\n51, Private,241745, 5th-6th,3, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K\n35, Private,316141, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,7443,0,40, United-States, <=50K\n61, Local-gov,248595, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n52, Private,90189, 7th-8th,4, Divorced, Priv-house-serv, Own-child, Black, Female,0,0,16, United-States, <=50K\n40, Private,205195, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n20, Private,148940, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Local-gov,298035, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,154728, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,166809, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K\n36, State-gov,97136, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,347623, Masters,14, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n40, Private,117917, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K\n45, Private,266860, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,71864, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,35, United-States, <=50K\n47, Private,158451, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,2, United-States, >50K\n24, Private,229826, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n19, Private,121788, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n40, Private,151365, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,360884, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,50, United-States, >50K\n54, Private,36480, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n43, Self-emp-not-inc,116666, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,35, United-States, >50K\n63, Local-gov,214143, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Cuba, <=50K\n18, Private,45316, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n19, Private,311974, 1st-4th,2, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K\n49, Self-emp-not-inc,48495, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n27, Private,115945, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n49, Local-gov,170846, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Private,142922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n71, ?,181301, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,286675, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,233168, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,46, United-States, >50K\n30, Private,177304, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n46, Private,336984, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,17, United-States, <=50K\n32, Self-emp-not-inc,379412, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,180778, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,75, United-States, <=50K\n25, Private,141876, Masters,14, Never-married, Prof-specialty, Unmarried, White, Male,0,0,45, ?, <=50K\n22, Private,228306, Some-college,10, Married-AF-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K\n32, Private,329993, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,247469, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K\n51, Private,673764, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,27828,0,40, United-States, >50K\n20, Private,155775, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K\n34, Private,81223, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, <=50K\n40, Private,236021, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n34, State-gov,103371, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,199480, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n53, Private,152657, 10th,6, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n42, Federal-gov,460214, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,91039, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n41, Private,197372, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n64, ?,267198, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K\n30, State-gov,111883, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,66917, 11th,7, Married-civ-spouse, Farming-fishing, Own-child, White, Male,0,0,40, Mexico, <=50K\n19, Private,292583, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n20, Private,391679, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,60, United-States, <=50K\n35, Private,475324, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n33, Self-emp-not-inc,218164, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,101534, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,15, United-States, >50K\n38, Federal-gov,65706, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K\n50, Self-emp-not-inc,156606, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, <=50K\n23, Private,200967, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n30, Local-gov,164493, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n33, Private,547886, Bachelors,13, Separated, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, Private,232145, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,96421, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,24, Outlying-US(Guam-USVI-etc), <=50K\n33, Private,554206, Some-college,10, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, Philippines, <=50K\n50, Local-gov,234143, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, >50K\n23, Private,380544, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n36, Local-gov,103886, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n50, State-gov,54709, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,46, United-States, <=50K\n26, Private,276548, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,20, United-States, <=50K\n55, Local-gov,176046, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,2267,40, United-States, <=50K\n37, Private,114605, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,323713, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,261382, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,223548, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, Mexico, <=50K\n47, Self-emp-not-inc,355978, Doctorate,16, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2002,45, United-States, <=50K\n44, Private,107218, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,31717, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,328947, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,148431, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,121602, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,244087, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n31, Private,83425, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,157308, 11th,7, Married-civ-spouse, Handlers-cleaners, Wife, Asian-Pac-Islander, Female,2829,0,14, Philippines, <=50K\n23, Private,57898, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,30, United-States, <=50K\n40, State-gov,175304, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, Self-emp-inc,102663, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,99175, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n37, Private,208358, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n69, Private,361561, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,3, United-States, <=50K\n23, Private,215115, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Federal-gov,207066, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n37, Federal-gov,160910, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,64879, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,430035, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,54, Mexico, <=50K\n37, State-gov,74163, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Self-emp-inc,98389, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,386019, 9th,5, Never-married, Farming-fishing, Unmarried, White, Male,0,0,70, United-States, <=50K\n17, Private,112795, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n48, Private,332465, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n17, Private,38611, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,23, United-States, <=50K\n55, Private,368797, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K\n35, Private,24106, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n68, ?,108683, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,12, United-States, >50K\n35, Self-emp-not-inc,241998, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n53, Private,312446, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n43, Private,69333, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n36, Private,172538, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,275884, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n45, Private,43479, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n34, Private,199864, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,2057,40, United-States, <=50K\n56, Private,235197, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n36, Private,170376, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n22, Private,325179, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K\n19, ?,351195, 9th,5, Never-married, ?, Other-relative, White, Male,0,1719,35, El-Salvador, <=50K\n33, Private,141841, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,36, United-States, <=50K\n48, Private,207817, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,32, Columbia, <=50K\n20, Private,137974, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n64, Self-emp-inc,161325, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1887,50, United-States, >50K\n47, Private,293623, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Dominican-Republic, <=50K\n20, Private,37783, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n44, Federal-gov,308027, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,149218, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,77, United-States, <=50K\n45, Local-gov,374450, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,5178,0,40, United-States, >50K\n45, Local-gov,61885, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, >50K\n27, State-gov,291196, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n41, Private,45366, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, United-States, >50K\n20, Private,203027, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,55, United-States, <=50K\n54, Self-emp-inc,223752, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, ?, >50K\n17, Private,132680, 10th,6, Never-married, Other-service, Own-child, White, Female,0,1602,10, United-States, <=50K\n50, Private,155574, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n31, State-gov,193565, Masters,14, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,123598, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n44, Private,456236, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,163229, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n28, Local-gov,419740, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,52, United-States, <=50K\n43, Local-gov,118853, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,4386,0,99, United-States, >50K\n33, Private,31449, Assoc-acdm,12, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n35, Private,204163, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,55, United-States, <=50K\n17, Private,177629, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n25, Private,186370, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,188307, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,55481, Masters,14, Never-married, Tech-support, Unmarried, White, Male,0,0,45, Nicaragua, <=50K\n48, Private,119471, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,56, Philippines, >50K\n61, Local-gov,167347, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K\n41, Private,184378, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,348960, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K\n24, Local-gov,69640, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,297457, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n18, Private,279593, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,2, United-States, <=50K\n20, Private,211968, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K\n18, Private,194561, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n23, Private,140414, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, State-gov,24763, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,45, United-States, >50K\n38, State-gov,462832, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, Trinadad&Tobago, <=50K\n36, Private,48972, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,35032, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n47, Private,228583, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n51, Private,392668, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,84, United-States, >50K\n35, Private,108140, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, State-gov,112497, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K\n47, Federal-gov,142581, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n26, Private,147982, 11th,7, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, State-gov,440129, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K\n46, Private,200734, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,35, Trinadad&Tobago, <=50K\n49, Private,31807, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,166153, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n45, Self-emp-inc,212954, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,52291, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K\n70, Self-emp-not-inc,303588, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, <=50K\n19, Private,96176, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n46, Private,184632, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n20, Private,137618, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,35, United-States, <=50K\n17, Private,160029, 11th,7, Never-married, Other-service, Other-relative, White, Female,0,0,22, United-States, <=50K\n43, Private,178780, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,49, United-States, >50K\n19, Private,39756, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n37, Private,35309, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,117253, HS-grad,9, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Local-gov,303212, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,214542, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,60, Canada, <=50K\n31, Private,342019, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,126668, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,50, United-States, >50K\n27, Private,401508, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n40, Private,25005, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,99, United-States, >50K\n30, Self-emp-not-inc,85708, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,115677, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Male,0,0,32, United-States, <=50K\n25, Private,144259, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,50, United-States, <=50K\n22, Private,197583, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n21, State-gov,142766, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n67, ?,132626, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K\n35, Self-emp-inc,185621, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, >50K\n54, Local-gov,29887, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,56, United-States, <=50K\n36, Private,117381, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,211482, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n32, Federal-gov,90653, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,1380,40, United-States, <=50K\n55, Private,209535, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Federal-gov,187873, Masters,14, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,174732, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,25, United-States, <=50K\n36, Private,297847, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,2001,40, United-States, <=50K\n58, Private,110213, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K\n35, Private,162601, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,108438, 10th,6, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n40, Self-emp-inc,132222, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,174394, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n71, Self-emp-not-inc,322789, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,35, United-States, <=50K\n51, Federal-gov,72436, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,57, United-States, >50K\n27, ?,60726, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n20, Private,190273, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n33, ?,393376, 11th,7, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,140571, Assoc-voc,11, Divorced, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,584790, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,197666, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,24, Greece, <=50K\n36, Private,245090, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,50, El-Salvador, <=50K\n42, Private,192569, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,39, United-States, >50K\n31, Local-gov,158291, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,8614,0,40, United-States, >50K\n19, ?,113915, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,10, United-States, <=50K\n38, Local-gov,287658, Masters,14, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K\n22, Private,192455, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,317040, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,54, United-States, <=50K\n36, Private,218689, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K\n17, Private,116626, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,1719,18, United-States, <=50K\n30, Federal-gov,48458, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,241469, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,2635,0,30, United-States, <=50K\n32, Private,167990, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,14084,0,40, United-States, >50K\n42, Private,261929, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n54, Private,425804, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n36, Private,33394, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,35, United-States, >50K\n58, Private,72812, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,89040, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n62, Local-gov,164518, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n51, Private,182740, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n52, Private,361875, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n25, Private,197130, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n26, Private,340335, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,293984, 10th,6, Married-civ-spouse, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n59, State-gov,261584, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, Outlying-US(Guam-USVI-etc), <=50K\n21, Private,170302, HS-grad,9, Never-married, Farming-fishing, Other-relative, White, Male,0,0,50, United-States, <=50K\n45, Private,481987, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,18, United-States, >50K\n26, Private,88449, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K\n68, Self-emp-not-inc,261897, 10th,6, Widowed, Farming-fishing, Unmarried, White, Male,0,0,20, United-States, <=50K\n60, Private,250552, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n65, Private,88513, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,18, United-States, <=50K\n41, Private,168293, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n34, Private,283921, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n28, Private,407043, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Private,63745, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Private,49893, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n37, Private,241962, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,338416, 10th,6, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,60, United-States, <=50K\n21, ?,212888, 11th,7, Married-civ-spouse, ?, Wife, White, Female,0,0,56, United-States, <=50K\n57, Federal-gov,310320, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, >50K\n55, Private,359972, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n51, Private,64643, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, ?, <=50K\n56, Private,125000, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,286675, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n18, Private,165532, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n48, Private,349986, Assoc-voc,11, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,213140, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n41, Federal-gov,219155, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, India, >50K\n33, Private,183612, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n33, Private,391114, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,219632, 5th-6th,3, Married-spouse-absent, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K\n46, Self-emp-inc,320124, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female,15024,0,40, United-States, >50K\n40, Private,799281, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n42, Private,657397, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n31, State-gov,373432, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,55, United-States, >50K\n51, Private,168660, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,191149, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,57, United-States, <=50K\n37, Private,356824, HS-grad,9, Separated, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,191782, 11th,7, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n63, Self-emp-not-inc,29859, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688,0,60, United-States, >50K\n52, Private,204226, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n42, Local-gov,246862, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,3325,0,40, United-States, <=50K\n28, Private,496526, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,426431, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K\n34, Private,84154, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n37, Federal-gov,45937, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n31, Private,130021, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,63021, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n25, Private,367306, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,65624, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,144928, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K\n22, Private,117747, Some-college,10, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n18, Private,266681, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n26, Private,152035, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,190023, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n43, Private,233130, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K\n21, Private,149637, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n62, Federal-gov,224277, Some-college,10, Widowed, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,121559, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,230951, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,345285, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n65, Self-emp-not-inc,28367, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n41, Private,320744, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,3325,0,50, United-States, <=50K\n31, Private,243773, 9th,5, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n56, Private,151474, 9th,5, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, Private,135465, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,210781, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n36, Local-gov,359001, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, <=50K\n48, Private,119471, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K\n30, Private,226396, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K\n35, Private,283122, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K\n37, Self-emp-not-inc,326400, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n32, ?,169186, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,5, United-States, <=50K\n56, Private,158752, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K\n29, ?,208406, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K\n41, Private,96741, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n38, State-gov,255191, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,177733, 9th,5, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,35, Dominican-Republic, <=50K\n54, State-gov,137815, 12th,8, Never-married, Other-service, Own-child, White, Male,4101,0,40, United-States, <=50K\n36, ?,187203, Assoc-voc,11, Divorced, ?, Own-child, White, Male,0,0,50, United-States, <=50K\n42, Private,168515, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,122672, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n21, Private,195199, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K\n69, Local-gov,179813, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,10, United-States, <=50K\n32, Private,178623, Assoc-acdm,12, Never-married, Sales, Not-in-family, Black, Female,0,0,46, Trinadad&Tobago, <=50K\n50, Private,41890, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,373050, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K\n45, Private,80430, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,198613, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K\n24, Private,330571, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n28, Private,209205, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K\n21, Private,132243, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,5, United-States, <=50K\n43, Self-emp-not-inc,237670, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K\n22, Private,193586, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n62, Self-emp-not-inc,197353, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n21, Self-emp-not-inc,74538, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,25, United-States, <=50K\n37, Private,89718, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n34, Private,93169, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n74, Self-emp-not-inc,292915, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1825,12, United-States, >50K\n43, Private,328570, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,38, United-States, <=50K\n25, Private,312157, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,193459, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,236804, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,126223, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n51, State-gov,172281, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n64, Private,153894, Bachelors,13, Never-married, Sales, Unmarried, White, Female,0,0,40, Peru, <=50K\n35, Private,331395, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n69, Self-emp-not-inc,92472, 10th,6, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,3273,0,45, United-States, <=50K\n32, Private,318647, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n20, Private,332931, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n66, Self-emp-inc,76212, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,301168, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Italy, <=50K\n22, Private,440969, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n32, Private,154950, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,218343, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,239577, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,247936, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,2, Taiwan, <=50K\n62, Local-gov,203525, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,40, United-States, <=50K\n24, Private,182342, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,25649, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,50, United-States, >50K\n27, Private,243569, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3942,0,40, United-States, <=50K\n38, Private,187870, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,90, United-States, >50K\n20, ?,289116, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,5, United-States, <=50K\n30, Private,487330, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K\n17, ?,34019, 10th,6, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n17, ?,250541, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,8, United-States, <=50K\n21, Self-emp-not-inc,318987, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,140558, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n59, Local-gov,303455, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,4787,0,60, United-States, >50K\n37, Self-emp-not-inc,76855, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Private,308764, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, Federal-gov,339905, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,227856, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K\n55, Private,156430, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n45, ?,98265, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n72, Private,116640, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,3471,0,20, United-States, <=50K\n39, Private,187167, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,184078, 12th,8, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,108140, Bachelors,13, Divorced, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K\n44, Private,150533, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,1876,55, United-States, <=50K\n51, Self-emp-not-inc,313702, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,39803, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,1719,36, United-States, <=50K\n25, Private,252752, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Female,0,0,45, United-States, <=50K\n52, Private,111700, Some-college,10, Divorced, Sales, Other-relative, White, Female,0,0,20, United-States, >50K\n45, Private,361842, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,231438, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K\n20, Private,178469, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,15, ?, <=50K\n64, Local-gov,116620, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K\n34, Private,112212, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1485,40, United-States, <=50K\n74, Self-emp-not-inc,109101, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,4, United-States, <=50K\n58, Federal-gov,72998, 11th,7, Divorced, Craft-repair, Not-in-family, Black, Female,14084,0,40, United-States, >50K\n44, Private,147265, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n23, State-gov,314645, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n23, Private,444554, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n27, Private,129629, Assoc-voc,11, Never-married, Tech-support, Other-relative, White, Female,0,0,36, United-States, <=50K\n34, Private,106761, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n18, Private,189924, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K\n33, Private,311194, 11th,7, Never-married, Sales, Unmarried, Black, Female,0,0,17, United-States, <=50K\n50, Self-emp-not-inc,89737, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n47, Private,49298, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n50, Self-emp-inc,190333, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,55, United-States, >50K\n18, Private,251923, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n49, Local-gov,298445, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,60, United-States, >50K\n34, Private,180284, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n51, Private,154342, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K\n56, State-gov,68658, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n64, Private,203783, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,8, United-States, <=50K\n23, Private,250037, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,50, United-States, <=50K\n33, Private,158688, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,214781, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n60, Federal-gov,404023, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,10520,0,40, United-States, >50K\n57, State-gov,109015, 12th,8, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,194630, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n23, Private,239375, Bachelors,13, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Private,35576, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,2415,50, United-States, >50K\n39, Federal-gov,363630, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,7688,0,52, United-States, >50K\n32, Self-emp-not-inc,182926, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,117222, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,15, United-States, <=50K\n30, Private,110643, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,52, United-States, <=50K\n56, Self-emp-not-inc,170217, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n34, Private,193285, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,161075, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n59, Private,322691, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n19, Private,229431, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,11, United-States, <=50K\n60, ?,106282, 9th,5, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,105694, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,42, United-States, <=50K\n24, Private,199883, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n41, State-gov,100800, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n23, Private,256278, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Other-relative, Other, Female,0,0,30, El-Salvador, <=50K\n32, Private,156464, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,50, United-States, >50K\n51, Self-emp-inc,129525, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,40, ?, <=50K\n18, Private,285013, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,10, United-States, <=50K\n28, Private,248911, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, ?, <=50K\n33, ?,369386, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,5178,0,40, United-States, >50K\n38, Private,219902, HS-grad,9, Separated, Transport-moving, Unmarried, Black, Female,0,0,30, United-States, <=50K\n29, Private,375482, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, England, <=50K\n25, Private,169124, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n31, Private,183000, Prof-school,15, Never-married, Tech-support, Not-in-family, White, Male,0,0,55, United-States, <=50K\n34, Private,28053, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n34, Private,242984, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,45, United-States, >50K\n66, State-gov,132055, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1825,40, United-States, >50K\n41, Private,212894, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Guatemala, <=50K\n62, Private,223975, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K\n58, Private,357788, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Private,406811, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, Canada, <=50K\n24, Private,154422, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n47, Private,140644, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,355477, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,25, United-States, <=50K\n32, Private,151773, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n51, State-gov,341548, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,512771, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n60, ?,141580, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,48988, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,201022, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n20, Private,82777, HS-grad,9, Married-civ-spouse, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,152676, 7th-8th,4, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, Puerto-Rico, <=50K\n18, Private,115815, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K\n23, Private,168009, 10th,6, Married-civ-spouse, Machine-op-inspct, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n28, Private,213152, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, ?, >50K\n55, Private,89690, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n40, Private,126868, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n52, Private,95128, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n37, Private,185567, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, >50K\n21, Private,301408, Some-college,10, Never-married, Sales, Own-child, White, Female,0,1602,22, United-States, <=50K\n35, Private,216256, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K\n45, Private,182541, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,48, United-States, <=50K\n39, Private,172855, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n54, Private,68684, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n42, Private,364832, 7th-8th,4, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, ?,264300, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K\n59, Self-emp-inc,349910, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,276218, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n22, Private,251196, Some-college,10, Never-married, Protective-serv, Own-child, Black, Female,0,0,20, United-States, <=50K\n33, Private,196898, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,58343, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n18, Self-emp-inc,101061, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,70, United-States, <=50K\n46, Private,415051, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, >50K\n24, Private,174043, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,129460, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,30, Ecuador, <=50K\n21, State-gov,110946, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,43, United-States, <=50K\n22, Private,313873, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K\n61, Private,81132, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,7298,0,40, Philippines, >50K\n56, Federal-gov,255386, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K\n21, Private,191497, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n17, Private,128617, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,26, United-States, <=50K\n29, Private,368949, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, ?, >50K\n28, Local-gov,263600, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n62, Private,257277, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n39, Private,339442, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Male,2176,0,40, United-States, <=50K\n30, Local-gov,289442, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, ?,162667, 11th,7, Never-married, ?, Unmarried, White, Male,0,0,40, El-Salvador, <=50K\n18, Local-gov,466325, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,12, United-States, <=50K\n54, Private,142169, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Private,252079, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n33, State-gov,119628, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, Hong, <=50K\n50, Private,175804, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,70720, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,78, United-States, <=50K\n50, State-gov,201513, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Private,257609, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,124692, Some-college,10, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0,0,40, United-States, >50K\n23, Private,268525, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n23, Private,250630, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,180277, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Hungary, <=50K\n39, Self-emp-not-inc,191342, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, South, <=50K\n29, Private,250967, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,48, United-States, >50K\n46, Private,153254, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n18, Private,362600, 5th-6th,3, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n68, Private,171933, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,211408, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,48193, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,22463, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,440969, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n21, State-gov,164922, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,134524, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Female,0,0,45, United-States, <=50K\n61, Private,176689, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,220993, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n21, Private,512828, HS-grad,9, Never-married, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K\n36, State-gov,422275, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n37, Local-gov,65291, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n69, Private,197080, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,9386,0,60, United-States, >50K\n49, Federal-gov,181657, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n55, Private,190257, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,53, United-States, >50K\n21, Private,238068, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,337046, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,187248, HS-grad,9, Married-civ-spouse, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n20, ?,250037, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,18, ?, <=50K\n46, Private,285750, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,4064,0,55, United-States, <=50K\n23, Private,260617, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,216999, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,531055, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,48, United-States, >50K\n42, State-gov,121265, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,184466, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n45, Private,297676, Assoc-acdm,12, Widowed, Sales, Unmarried, White, Female,0,0,40, Cuba, <=50K\n52, Private,114228, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n22, Local-gov,121144, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,18, United-States, <=50K\n20, Private,26842, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,2176,0,40, United-States, <=50K\n27, Private,113054, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,43, United-States, <=50K\n36, Private,256636, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,152246, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,52, United-States, <=50K\n38, Private,108140, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n20, ?,203353, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Private,207207, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K\n21, Private,115420, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,80058, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Local-gov,48520, Assoc-acdm,12, Never-married, Protective-serv, Unmarried, White, Male,0,0,40, United-States, <=50K\n61, Private,411652, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n46, Private,154405, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,45, United-States, <=50K\n55, Local-gov,104917, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n19, State-gov,261422, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,48915, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n61, Private,172037, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,144833, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,275116, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n61, ?,72886, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,38, United-States, >50K\n61, Private,103575, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,37, United-States, <=50K\n54, Private,200783, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-inc,152810, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,70, Germany, <=50K\n37, Local-gov,44694, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n17, ?,48703, 11th,7, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n56, Private,91905, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,4, United-States, <=50K\n31, Private,168906, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n32, State-gov,147215, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, >50K\n28, Private,153546, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,35595, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,225507, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n42, Private,345504, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n64, Private,137205, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n29, Private,327779, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,20, United-States, <=50K\n41, ?,213416, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,32, Mexico, <=50K\n45, Private,362883, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,131309, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n44, Private,188331, Some-college,10, Separated, Tech-support, Not-in-family, White, Female,0,0,38, United-States, <=50K\n34, Federal-gov,194740, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,43711, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n45, Private,187033, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, United-States, <=50K\n23, Private,233923, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n51, Private,84278, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n24, Private,437666, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2885,0,50, United-States, <=50K\n57, Private,186386, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Male,10520,0,40, United-States, >50K\n23, Private,129767, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,1721,40, United-States, <=50K\n34, Private,180284, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,108320, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,4101,0,40, United-States, <=50K\n56, Self-emp-inc,75214, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,32, United-States, >50K\n42, Private,284758, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-inc,188330, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n38, Private,333651, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,70, United-States, >50K\n29, Local-gov,115305, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,40, United-States, >50K\n54, Private,172962, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,1340,40, United-States, <=50K\n40, Private,198096, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,163265, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n35, Federal-gov,128608, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,107460, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,37, United-States, <=50K\n51, Private,251841, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K\n28, Private,403671, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, Mexico, <=50K\n58, Private,159378, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n24, Private,170070, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,25, United-States, <=50K\n46, State-gov,192323, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,135796, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,48, United-States, <=50K\n22, Private,232985, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,20, United-States, <=50K\n28, Private,34532, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Male,0,0,30, Jamaica, <=50K\n17, ?,371316, 10th,6, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n23, Private,236994, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,60, United-States, <=50K\n19, Private,208366, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n66, State-gov,102640, HS-grad,9, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K\n38, Private,111377, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n39, Federal-gov,472166, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n39, ?,86551, 12th,8, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,70943, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,40, United-States, >50K\n39, Private,294919, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K\n22, Private,408383, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,255454, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,30, United-States, <=50K\n32, Private,193260, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n29, ?,191935, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,125461, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,97005, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,183319, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n32, State-gov,167049, 12th,8, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,185216, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,161838, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,57, United-States, <=50K\n38, Private,165848, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n21, Private,138816, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,20, United-States, <=50K\n33, Self-emp-not-inc,99761, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K\n34, Private,112139, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,129020, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n38, ?,365465, Assoc-voc,11, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K\n27, Self-emp-not-inc,259873, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,60, United-States, >50K\n35, Self-emp-inc,89622, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n29, State-gov,201556, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n40, Private,176286, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,192894, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,30, United-States, <=50K\n37, Private,172232, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n38, Self-emp-not-inc,163204, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,25, United-States, <=50K\n37, Private,265737, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1887,60, Cuba, >50K\n44, Private,215304, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,185952, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n38, Private,216845, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,42, United-States, <=50K\n34, Local-gov,35683, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,10, United-States, <=50K\n50, Self-emp-not-inc,371305, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,60, United-States, >50K\n46, Private,102359, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n20, Private,200089, 5th-6th,3, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,30, Guatemala, <=50K\n47, State-gov,207120, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K\n46, Private,295334, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n34, Private,234537, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Private,142922, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n55, State-gov,181641, Some-college,10, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,37, United-States, <=50K\n36, Private,185325, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,35, United-States, <=50K\n28, Private,167336, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,10520,0,40, United-States, >50K\n22, Private,379778, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,176117, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K\n33, Private,100228, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n27, Private,150296, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K\n43, Federal-gov,25005, Masters,14, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013,0,12, United-States, <=50K\n55, Private,134120, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K\n39, Self-emp-not-inc,251710, 10th,6, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,1721,15, United-States, <=50K\n20, Private,653574, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,33, El-Salvador, <=50K\n38, Private,175441, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n30, Private,333119, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,89154, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,42, El-Salvador, <=50K\n60, Private,198727, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n43, Private,87284, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,180686, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n23, Private,227070, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,48, El-Salvador, <=50K\n57, Local-gov,189824, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,7298,0,40, United-States, >50K\n25, Local-gov,348986, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K\n38, Private,96185, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K\n22, Private,112693, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n23, Private,417605, 5th-6th,3, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n61, Self-emp-not-inc,140300, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,44, United-States, <=50K\n28, Private,340408, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,46, United-States, <=50K\n17, ?,187539, 11th,7, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K\n21, Private,237051, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n49, Private,175622, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,389725, 12th,8, Divorced, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n23, Private,182812, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, Dominican-Republic, <=50K\n38, Self-emp-not-inc,245372, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,3137,0,50, United-States, <=50K\n34, Local-gov,93886, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,46, United-States, >50K\n21, Private,502837, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, Peru, <=50K\n27, State-gov,212232, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n57, Private,300104, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,84, United-States, >50K\n22, Private,156933, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,25, United-States, <=50K\n20, Private,286734, Some-college,10, Never-married, Adm-clerical, Not-in-family, Other, Female,0,0,35, United-States, <=50K\n49, Self-emp-inc,143482, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,65, United-States, >50K\n38, Private,226357, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,104892, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,223194, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1485,40, Haiti, <=50K\n37, Self-emp-not-inc,272090, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K\n57, Private,204816, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n56, Private,230039, 7th-8th,4, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n41, Private,242619, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,80, United-States, <=50K\n50, Self-emp-not-inc,131982, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,60, South, <=50K\n33, Private,87310, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Private,134566, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K\n28, Federal-gov,163862, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K\n35, Private,239409, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,203717, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n45, Private,172274, Doctorate,16, Divorced, Prof-specialty, Unmarried, Black, Female,0,3004,35, United-States, >50K\n30, Self-emp-not-inc,65278, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-inc,135289, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K\n27, Private,246974, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,180060, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, Yugoslavia, <=50K\n24, Private,118023, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n47, Private,102308, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n47, Private,45564, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,137646, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n18, Private,237646, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n31, Local-gov,189843, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,47, United-States, >50K\n43, Self-emp-not-inc,118261, Masters,14, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n45, Private,288437, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,4064,0,40, United-States, <=50K\n39, Private,106347, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,316471, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n22, Private,50058, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n30, Self-emp-not-inc,182089, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,85, United-States, <=50K\n36, Private,186865, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n20, State-gov,158206, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n61, ?,229744, 1st-4th,2, Married-civ-spouse, ?, Husband, White, Male,3942,0,20, Mexico, <=50K\n27, Private,141545, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,45, United-States, <=50K\n59, Local-gov,50929, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n60, Private,132529, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,260696, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,231180, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n40, Private,223277, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n20, Private,279538, 11th,7, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,2961,0,35, United-States, <=50K\n47, Private,46044, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,168071, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n20, Private,79691, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n75, ?,114204, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,13, United-States, <=50K\n25, Private,124111, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Private,104521, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n29, Self-emp-not-inc,128516, Assoc-acdm,12, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, >50K\n34, Private,112564, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n45, State-gov,32186, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,239663, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,2597,0,50, United-States, <=50K\n46, Private,269284, Assoc-acdm,12, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, State-gov,175537, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n29, Private,444304, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,27415, 11th,7, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,20, United-States, <=50K\n39, Private,174343, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,148143, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n34, Private,209213, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, ?, <=50K\n20, Private,165097, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, ?,51574, HS-grad,9, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,1602,38, United-States, <=50K\n52, Private,167651, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n42, Local-gov,29075, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n22, Private,396895, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Mexico, <=50K\n66, State-gov,71075, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n35, Private,129573, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n40, Local-gov,183765, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n21, Private,164991, HS-grad,9, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female,0,0,38, United-States, <=50K\n51, Local-gov,154891, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Male,0,0,52, United-States, <=50K\n34, Private,200117, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,176389, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,342567, Bachelors,13, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,178841, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n42, Local-gov,191149, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,29702, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n21, Private,157893, HS-grad,9, Never-married, Transport-moving, Own-child, White, Female,0,0,40, United-States, <=50K\n64, Local-gov,31993, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,10, United-States, <=50K\n24, Federal-gov,210736, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,1974,40, United-States, <=50K\n23, Private,39615, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K\n29, Private,200511, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n44, Self-emp-not-inc,47818, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,60, United-States, <=50K\n28, Private,183155, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n33, Self-emp-inc,374905, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n35, Private,128876, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,202872, 10th,6, Married-spouse-absent, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,153414, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K\n51, Self-emp-not-inc,24790, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, >50K\n32, Private,316769, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,40, Jamaica, <=50K\n37, Private,126569, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,128538, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n24, Private,234640, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n29, ?,65372, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,343377, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n52, Federal-gov,30731, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n35, Private,412379, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Self-emp-inc,112320, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n63, Private,181929, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, >50K\n32, Local-gov,100135, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K\n24, Private,128061, HS-grad,9, Never-married, Other-service, Own-child, White, Female,594,0,15, United-States, <=50K\n72, ?,402306, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,32, Canada, <=50K\n35, ?,98389, Some-college,10, Never-married, ?, Unmarried, White, Male,0,0,10, United-States, <=50K\n29, Private,179565, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,64922, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n70, Private,102610, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,32, United-States, <=50K\n65, ?,115513, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,5556,0,48, United-States, >50K\n36, Private,150548, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,30, United-States, <=50K\n53, Private,133219, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,4386,0,30, United-States, >50K\n49, Local-gov,67001, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n60, Private,162347, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K\n18, Private,138557, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,170456, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, Italy, <=50K\n42, Private,66006, 10th,6, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n25, State-gov,176077, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,37, United-States, <=50K\n32, Private,218322, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Self-emp-inc,181691, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, ?, <=50K\n47, Private,168232, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n30, Private,161690, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, ?,242736, Assoc-acdm,12, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,67317, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,265807, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2051,55, United-States, <=50K\n37, Private,99357, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n56, Private,170070, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n52, State-gov,231166, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,62339, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n29, State-gov,118520, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,42, United-States, <=50K\n45, Private,155659, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Local-gov,157331, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,341762, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n30, Private,164190, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K\n45, Private,83064, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,304283, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,436798, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,29302, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, ?, <=50K\n43, Private,104660, Masters,14, Widowed, Exec-managerial, Unmarried, White, Male,4934,0,40, United-States, >50K\n42, Private,79036, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n72, Private,165622, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n21, ?,177287, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n57, Private,199847, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n24, Private,22966, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n27, Private,59068, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,77336, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,96524, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n17, Private,143868, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n48, Private,121424, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n39, Private,176279, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-inc,177905, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,70, United-States, >50K\n50, Private,205100, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, ?, <=50K\n57, Private,353881, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n44, Local-gov,177937, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K\n20, ?,122244, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,28, United-States, <=50K\n49, Private,125892, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,155472, Assoc-acdm,12, Never-married, Prof-specialty, Unmarried, Black, Female,1151,0,50, United-States, <=50K\n42, Private,355728, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K\n18, ?,245274, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,16, United-States, <=50K\n18, Private,240330, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K\n51, Private,182944, HS-grad,9, Widowed, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,264498, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,110426, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,45, United-States, >50K\n25, Private,166971, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, <=50K\n41, Private,347653, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n39, Private,33975, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n42, Self-emp-not-inc,215219, 11th,7, Separated, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n33, Private,190772, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,1617,40, United-States, <=50K\n63, ?,331527, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,162494, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,45, United-States, >50K\n27, Local-gov,85918, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,68, United-States, <=50K\n39, Private,91367, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,45, United-States, >50K\n20, Private,182342, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Private,129640, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n70, ?,133536, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,28, United-States, <=50K\n46, Private,148738, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1740,35, United-States, <=50K\n47, Private,102583, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K\n35, Private,111387, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,241752, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, ?,334593, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,101950, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n60, Local-gov,212856, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n53, Private,183973, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K\n47, Private,142061, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,158615, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,29145, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,40135, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n23, Private,224640, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, ?,146651, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Female,0,0,15, United-States, <=50K\n29, Private,167737, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,50, United-States, <=50K\n23, Private,60331, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,187167, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n18, ?,157131, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,12, United-States, <=50K\n27, Local-gov,255237, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, ?,192325, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n40, Private,163342, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,70, United-States, <=50K\n31, Private,129775, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K\n18, Private,206008, Some-college,10, Never-married, Sales, Unmarried, White, Male,2176,0,40, United-States, <=50K\n25, Private,397317, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,745768, Some-college,10, Never-married, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, Private,141550, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Private,35576, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,376383, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,35, Mexico, <=50K\n48, Self-emp-not-inc,200825, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, >50K\n34, ?,362787, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,35, United-States, <=50K\n46, Private,116789, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,160300, HS-grad,9, Married-spouse-absent, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,362654, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n21, ?,107801, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,3, United-States, <=50K\n65, Private,170939, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,6723,0,40, United-States, <=50K\n31, Local-gov,224234, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n38, Private,478346, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,40, United-States, >50K\n68, Private,211162, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,147638, Bachelors,13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, Hong, <=50K\n42, Private,104647, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,67365, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,230959, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,1887,40, Philippines, >50K\n39, Private,176335, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,65, United-States, >50K\n31, Self-emp-not-inc,268482, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, State-gov,288731, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K\n36, Private,231082, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n42, State-gov,333530, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n62, Private,214288, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,118023, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,24, United-States, <=50K\n21, Private,187088, Some-college,10, Never-married, Adm-clerical, Own-child, Other, Female,0,0,20, Cuba, <=50K\n60, ?,174073, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,133833, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n30, Private,229772, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n64, Private,210082, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,119287, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,28, United-States, >50K\n41, Self-emp-not-inc,111772, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K\n25, Private,122999, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n27, Private,44767, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,200574, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,44, United-States, <=50K\n58, Private,236596, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,33124, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,99, United-States, <=50K\n50, Local-gov,308764, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,103524, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n31, ?,99483, HS-grad,9, Never-married, ?, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n50, Private,230951, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,99355, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K\n33, Private,857532, 12th,8, Never-married, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K\n62, Private,81116, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,1974,40, United-States, <=50K\n38, Private,154410, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, Poland, <=50K\n19, Private,198943, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n30, Private,311696, 11th,7, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,30, United-States, <=50K\n38, Private,252897, Some-college,10, Divorced, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n42, Self-emp-not-inc,39539, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, >50K\n49, Self-emp-inc,122066, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K\n53, Private,110977, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n45, Local-gov,199590, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, Mexico, >50K\n24, Private,202721, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n29, Private,197565, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n24, Private,206827, Some-college,10, Never-married, Sales, Own-child, White, Female,5060,0,30, United-States, <=50K\n38, Federal-gov,190895, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n25, Self-emp-inc,158751, Assoc-voc,11, Never-married, Transport-moving, Unmarried, White, Male,0,0,55, United-States, <=50K\n51, State-gov,243631, 10th,6, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n17, ?,219277, 11th,7, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n19, Private,45381, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,8, United-States, <=50K\n38, Private,167482, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K\n60, Private,225014, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,405083, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n66, ?,186061, Some-college,10, Widowed, ?, Unmarried, Black, Female,0,4356,40, United-States, <=50K\n28, Federal-gov,24153, 10th,6, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n36, Private,126569, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Ecuador, >50K\n57, ?,137658, HS-grad,9, Married-civ-spouse, ?, Husband, Other, Male,0,0,5, Columbia, <=50K\n24, Private,315476, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,248186, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n29, Self-emp-inc,206903, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n67, Self-emp-not-inc,191380, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,25, United-States, >50K\n20, Private,191910, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,145119, Some-college,10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K\n20, Private,130840, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,33126, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n20, Private,334105, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n19, Local-gov,354104, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K\n34, Private,111985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n40, Local-gov,321187, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K\n33, Private,138142, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K\n36, Private,296999, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Female,0,0,37, United-States, <=50K\n43, Private,155106, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,2444,70, United-States, >50K\n41, Local-gov,174491, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n34, State-gov,173266, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,25610, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, Other, Male,0,0,40, Japan, >50K\n47, Private,187563, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,196344, 1st-4th,2, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Mexico, <=50K\n40, Private,205047, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n28, Private,715938, Bachelors,13, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,224520, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,90, United-States, >50K\n29, Private,229656, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n46, Private,97883, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,131298, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K\n57, Federal-gov,197875, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,172766, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Local-gov,175796, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,51973, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n54, Self-emp-not-inc,28186, Bachelors,13, Divorced, Farming-fishing, Not-in-family, White, Male,27828,0,50, United-States, >50K\n22, Private,291979, 11th,7, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, State-gov,180752, Bachelors,13, Never-married, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K\n50, Private,234657, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, Private,39411, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K\n52, State-gov,334273, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,192779, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K\n21, ?,105312, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n36, Private,171676, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,1741,40, United-States, <=50K\n34, Self-emp-not-inc,182714, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, >50K\n21, Private,231866, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,102102, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, ?,50248, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n61, Local-gov,195519, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,25, United-States, <=50K\n22, State-gov,34310, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,25, United-States, <=50K\n33, ?,314913, 11th,7, Divorced, ?, Own-child, White, Male,0,0,53, United-States, <=50K\n36, State-gov,747719, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,50, United-States, >50K\n43, Local-gov,188280, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,914,0,40, United-States, <=50K\n25, Private,110978, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,37, India, >50K\n17, Private,79682, 10th,6, Never-married, Priv-house-serv, Other-relative, White, Male,0,0,30, United-States, <=50K\n45, Private,294671, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,38, United-States, >50K\n30, Private,340899, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,1590,80, United-States, <=50K\n40, Private,192259, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n31, Local-gov,190228, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n42, Private,118947, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,55861, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,238433, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Cuba, <=50K\n37, State-gov,166744, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n54, Private,144586, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n36, Private,134367, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n46, Private,133616, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,203039, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n32, Private,217460, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,106733, 11th,7, Never-married, Craft-repair, Own-child, White, Male,594,0,40, United-States, <=50K\n42, State-gov,212027, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n37, Local-gov,126569, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,289960, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n54, Private,174102, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,181716, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n46, Local-gov,172822, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,293091, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,107443, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Portugal, <=50K\n59, Private,95283, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,65278, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,220943, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,1594,40, United-States, <=50K\n53, Private,257940, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2829,0,40, United-States, <=50K\n26, Private,134945, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,105582, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,2228,0,50, United-States, <=50K\n46, Private,169324, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,45, Jamaica, <=50K\n44, State-gov,98989, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,38, United-States, >50K\n30, Self-emp-not-inc,113838, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,3137,0,60, Germany, <=50K\n24, Private,143436, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K\n32, Private,143604, 10th,6, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0,0,37, United-States, <=50K\n35, Private,226311, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n67, Private,94610, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K\n56, Self-emp-not-inc,26716, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, >50K\n26, Private,160261, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,20, India, <=50K\n46, Private,117310, Assoc-acdm,12, Widowed, Tech-support, Unmarried, White, Female,6497,0,40, United-States, <=50K\n52, Private,154342, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n38, Self-emp-not-inc,89202, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,174704, HS-grad,9, Divorced, Sales, Unmarried, Black, Male,0,0,50, United-States, <=50K\n53, Private,153486, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,30, United-States, <=50K\n27, Private,360097, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, Private,230356, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,163870, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,199753, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K\n20, Private,333505, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, Nicaragua, <=50K\n60, Local-gov,149281, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,138514, Assoc-voc,11, Divorced, Tech-support, Unmarried, Black, Female,0,0,48, United-States, <=50K\n57, Federal-gov,66504, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n59, Private,206487, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,170020, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,217605, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, United-States, <=50K\n43, Private,145711, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,72, United-States, >50K\n17, Private,169155, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n45, Private,34127, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n18, Private,110142, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n52, Private,222646, 12th,8, Separated, Machine-op-inspct, Other-relative, White, Female,0,0,40, Cuba, <=50K\n18, Private,182643, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,9, United-States, <=50K\n20, Private,303565, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, Germany, <=50K\n34, Private,140092, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,178811, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,20, United-States, <=50K\n18, ?,267399, 12th,8, Never-married, ?, Own-child, White, Female,0,0,12, United-States, <=50K\n17, Local-gov,192387, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,45, United-States, <=50K\n30, Federal-gov,127610, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n29, Private,258862, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Female,0,0,45, United-States, <=50K\n30, Private,225231, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,8614,0,50, United-States, >50K\n18, Private,174926, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,15, ?, <=50K\n50, State-gov,238187, Bachelors,13, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K\n22, Private,191444, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n21, Private,198822, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n39, Self-emp-not-inc,251323, 9th,5, Married-civ-spouse, Farming-fishing, Other-relative, White, Male,0,0,40, Cuba, <=50K\n20, Private,168187, Some-college,10, Never-married, Other-service, Other-relative, White, Female,4416,0,25, United-States, <=50K\n62, Private,370881, Assoc-acdm,12, Widowed, Other-service, Not-in-family, White, Female,0,0,7, United-States, <=50K\n32, Private,198183, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n38, Private,210610, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,269182, Some-college,10, Separated, Tech-support, Unmarried, Black, Female,3887,0,40, United-States, <=50K\n55, Private,141727, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,3464,0,40, United-States, <=50K\n38, Private,185848, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,70, United-States, >50K\n34, Private,46746, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n28, Private,120475, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n26, Private,135845, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,37, United-States, <=50K\n41, Private,310255, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n61, State-gov,379885, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n75, Self-emp-not-inc,31428, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,3456,0,40, United-States, <=50K\n21, Private,211013, Assoc-voc,11, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,50, Mexico, <=50K\n50, Private,175029, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n49, Self-emp-inc,119539, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, ?, >50K\n26, Private,247025, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n39, Private,252327, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,0,40, Mexico, <=50K\n24, Self-emp-not-inc,375313, Some-college,10, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n56, Private,107165, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,18, United-States, <=50K\n17, Private,108470, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,17, United-States, <=50K\n37, Private,150057, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K\n23, Private,189468, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K\n28, ?,198393, HS-grad,9, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,181031, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n42, Local-gov,569930, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,27411, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,147397, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K\n39, Private,242922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n54, Private,154949, 11th,7, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, >50K\n41, Self-emp-inc,423217, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n43, Federal-gov,195385, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n19, Private,100009, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,191628, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,340880, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Philippines, >50K\n19, Private,207173, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n33, Private,48010, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,229051, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,52, United-States, <=50K\n49, Private,193366, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n31, Private,57781, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n69, ?,121136, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,13, United-States, <=50K\n41, Private,433989, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,4386,0,60, United-States, >50K\n24, Private,136687, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Other, Female,0,0,40, United-States, <=50K\n45, State-gov,154117, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, >50K\n63, Private,294009, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K\n75, Private,239038, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, United-States, <=50K\n34, Private,244064, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K\n69, Private,128348, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,9386,0,50, United-States, >50K\n33, Private,66278, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,162643, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K\n45, Private,179659, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K\n18, Private,205218, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n48, Private,154033, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,52, United-States, <=50K\n43, Private,158528, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,366219, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1848,60, United-States, >50K\n35, Private,301862, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n34, Private,228406, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, Private,120131, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,70, United-States, >50K\n54, Local-gov,127943, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n57, Private,301514, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,156980, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,60, United-States, <=50K\n28, Private,124685, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,55, United-States, <=50K\n51, Private,305673, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, >50K\n34, Local-gov,31391, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,53, United-States, >50K\n41, Local-gov,33658, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K\n21, Private,211391, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,27, United-States, <=50K\n26, Private,402998, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,58, United-States, >50K\n66, Private,78855, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n40, Private,320451, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1977,45, Hong, >50K\n48, Private,49278, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, ?,248876, Bachelors,13, Divorced, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K\n41, Private,242586, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,359696, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,15024,0,60, United-States, >50K\n55, Local-gov,296085, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n43, Private,233130, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K\n51, Private,189511, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, Germany, >50K\n31, Private,124420, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,67072, Bachelors,13, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,6849,0,60, United-States, <=50K\n51, Private,194908, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n31, Local-gov,94991, HS-grad,9, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n18, Private,194561, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,37, United-States, <=50K\n60, Private,75726, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,1092,40, United-States, <=50K\n29, Private,60722, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n33, Private,59944, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,220840, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n40, Self-emp-inc,104235, Masters,14, Never-married, Other-service, Own-child, White, Male,0,0,99, United-States, <=50K\n57, Private,142714, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n55, Local-gov,110490, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, <=50K\n40, Self-emp-not-inc,154076, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n26, State-gov,130557, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n29, Private,107108, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n30, Private,207172, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Mexico, <=50K\n29, Private,304595, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n43, Private,475322, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n65, Private,107620, 11th,7, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K\n19, Private,301911, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,35, Laos, <=50K\n35, Private,267866, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,1887,50, Iran, >50K\n28, Private,269786, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,167474, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,115023, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,60, United-States, >50K\n63, Local-gov,86590, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,32, United-States, <=50K\n47, State-gov,187087, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,184307, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,225859, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,2907,0,30, United-States, <=50K\n29, Private,57889, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n59, Private,157932, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,187830, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,62, United-States, >50K\n49, Private,251180, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,2407,0,50, United-States, <=50K\n60, Private,317083, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n35, Self-emp-not-inc,190895, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n48, Federal-gov,328606, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, ?,403860, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,215479, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n56, Private,157639, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,152129, 12th,8, Never-married, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K\n53, Private,239284, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,234302, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n58, Private,218724, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n61, Private,106330, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,35032, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K\n22, Private,234641, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,170730, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n31, Private,218322, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n90, Private,47929, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,142411, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, ?,219122, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,132887, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,3411,0,40, Jamaica, <=50K\n34, State-gov,44464, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n28, Private,180928, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013,0,55, United-States, <=50K\n22, ?,199426, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,139703, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n33, Private,202642, Bachelors,13, Separated, Prof-specialty, Other-relative, Black, Female,0,0,40, Jamaica, <=50K\n17, Private,160049, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K\n38, Private,239755, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Private,152369, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,42900, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n72, ?,117017, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n57, Private,175017, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Italy, <=50K\n39, Private,342642, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n50, Self-emp-not-inc,143730, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K\n45, Private,191098, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n37, Private,208106, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K\n27, Private,167737, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K\n43, Private,315971, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n41, Private,142717, Some-college,10, Divorced, Tech-support, Unmarried, Black, Female,0,0,36, United-States, <=50K\n20, Private,190227, Masters,14, Never-married, Exec-managerial, Own-child, White, Male,0,0,25, United-States, <=50K\n44, Private,79864, Masters,14, Separated, Exec-managerial, Unmarried, White, Female,0,0,20, United-States, <=50K\n50, Private,34067, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n54, Private,222882, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n31, Private,44464, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,1564,60, United-States, >50K\n33, Private,256062, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, Puerto-Rico, <=50K\n22, Private,251073, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K\n46, Private,149949, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,165235, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K\n22, ?,243190, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n59, ?,160662, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2407,0,60, United-States, <=50K\n57, Self-emp-not-inc,175942, Some-college,10, Widowed, Exec-managerial, Other-relative, White, Male,0,0,25, United-States, <=50K\n26, Private,212793, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Local-gov,153312, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n55, Local-gov,173296, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K\n47, Private,120131, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,117444, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,226196, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,202872, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n42, Private,176716, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n39, Private,82540, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n17, ?,41643, 11th,7, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K\n26, Private,197292, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n26, Private,76491, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K\n50, Self-emp-inc,101094, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n46, Self-emp-not-inc,119944, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n18, Private,141626, Some-college,10, Never-married, Tech-support, Own-child, White, Male,2176,0,20, United-States, <=50K\n26, Private,122575, Bachelors,13, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0,0,60, Vietnam, <=50K\n32, Private,194740, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n50, Private,263200, 5th-6th,3, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,34, Mexico, <=50K\n47, Local-gov,140644, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,202115, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, <=50K\n25, Federal-gov,27142, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n42, Local-gov,318046, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,276369, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n30, Private,67187, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Female,0,0,8, United-States, <=50K\n23, Private,133582, 1st-4th,2, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, Mexico, <=50K\n23, Private,216672, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,30, ?, <=50K\n32, Private,45796, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n29, Self-emp-inc,31778, HS-grad,9, Separated, Prof-specialty, Other-relative, White, Male,0,0,25, United-States, <=50K\n40, Private,190044, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n45, State-gov,144351, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n17, ?,172145, 10th,6, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n55, Private,193130, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n59, Local-gov,140478, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,122390, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n23, Private,116830, 12th,8, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n37, Local-gov,117683, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,106491, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n22, ?,39803, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,363053, 9th,5, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,24, Mexico, <=50K\n21, Private,54472, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Local-gov,200471, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,40, United-States, >50K\n38, Private,54317, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K\n62, Local-gov,113443, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,10520,0,33, United-States, >50K\n27, Private,159623, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n25, ?,161235, Assoc-voc,11, Never-married, ?, Own-child, White, Male,0,0,90, United-States, <=50K\n27, Private,247978, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n40, Private,305846, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n22, Self-emp-not-inc,214014, Some-college,10, Never-married, Sales, Own-child, Black, Male,99999,0,55, United-States, >50K\n33, Private,226525, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n28, Private,247819, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,5, United-States, <=50K\n28, Private,194940, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,289991, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,55, United-States, <=50K\n46, Private,585361, 9th,5, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,91145, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n65, ?,231604, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,45, Germany, <=50K\n28, Private,273269, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, Private,202683, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,159179, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,28952, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,39, United-States, <=50K\n25, ?,214925, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n63, Private,163708, 9th,5, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n56, Private,200235, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n46, Private,109209, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,166153, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n56, Local-gov,268213, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, ?, >50K\n31, Private,69056, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n51, State-gov,237141, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,277541, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,5, United-States, <=50K\n27, Local-gov,289039, Some-college,10, Never-married, Protective-serv, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n30, Private,134737, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,45, United-States, <=50K\n18, Private,56613, Some-college,10, Never-married, Protective-serv, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Private,36699, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n40, Local-gov,333530, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n35, Private,185366, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Private,154017, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,10, United-States, <=50K\n27, Private,215504, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1848,55, United-States, >50K\n25, Private,222539, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,2597,0,50, United-States, <=50K\n53, Private,191565, 1st-4th,2, Divorced, Other-service, Unmarried, Black, Female,0,0,40, Dominican-Republic, <=50K\n53, Private,111939, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K\n26, State-gov,53903, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n41, Private,146659, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K\n28, Private,194200, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n48, State-gov,78529, Masters,14, Separated, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n22, Private,194829, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K\n40, Federal-gov,330174, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n52, Self-emp-inc,230767, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, Cuba, >50K\n53, Local-gov,137250, Masters,14, Widowed, Prof-specialty, Unmarried, Black, Female,0,1669,35, United-States, <=50K\n40, Private,254478, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K\n57, Private,300908, Assoc-acdm,12, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,75, United-States, <=50K\n53, Self-emp-not-inc,187830, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, Poland, <=50K\n23, Private,201138, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K\n31, Self-emp-not-inc,44503, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,381357, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,28, United-States, <=50K\n25, Private,311124, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n37, Private,96330, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n50, Private,228238, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n34, Self-emp-not-inc,56964, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n37, Private,127772, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,386397, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n29, Self-emp-not-inc,404998, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,90, United-States, <=50K\n49, Private,34545, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n31, Private,157886, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n47, Private,101299, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,134447, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n27, Private,191822, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K\n23, Private,70919, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, Private,266343, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,46, United-States, <=50K\n28, Private,87239, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n31, Local-gov,236487, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Germany, <=50K\n30, Private,224147, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n23, Private,197200, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,60, United-States, <=50K\n19, Private,124265, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K\n22, Private,79980, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K\n50, Private,128814, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n64, ?,208862, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n21, Private,51262, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n75, Self-emp-inc,98116, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K\n29, Private,82393, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, Germany, <=50K\n47, Private,57534, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,218962, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,204752, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,243631, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, China, >50K\n41, Private,170299, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, <=50K\n23, Private,60331, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,269318, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,50, United-States, >50K\n67, State-gov,132819, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,41, United-States, >50K\n21, Private,119665, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,35, United-States, <=50K\n38, Private,150057, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n31, Private,128567, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,230874, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,148526, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,160192, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,74660, Some-college,10, Widowed, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-inc,142494, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,122042, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n28, Self-emp-inc,37088, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n36, Private,61778, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n21, ?,176356, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, Germany, <=50K\n27, Private,123302, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Poland, <=50K\n18, Private,89760, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n44, Local-gov,165304, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,40, United-States, >50K\n56, Private,104945, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n51, Self-emp-inc,192973, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K\n48, Private,97863, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Italy, >50K\n31, Private,73585, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,29145, Assoc-voc,11, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,175232, HS-grad,9, Divorced, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n36, Private,325374, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,107231, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,65, United-States, <=50K\n23, Private,129345, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K\n21, Private,228395, Some-college,10, Never-married, Sales, Other-relative, Black, Female,0,0,20, United-States, <=50K\n49, Private,452402, Some-college,10, Separated, Exec-managerial, Unmarried, Black, Female,0,0,60, United-States, <=50K\n51, Self-emp-inc,338260, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K\n46, Private,165138, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,109055, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,3137,0,45, United-States, <=50K\n27, Private,193122, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n56, ?,425497, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n48, Private,191858, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,297155, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n29, Local-gov,181282, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n50, Federal-gov,111700, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n18, Private,35065, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n37, Private,298539, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,55, United-States, >50K\n51, Self-emp-not-inc,95435, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n31, Private,162160, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, <=50K\n29, Private,176037, Assoc-voc,11, Divorced, Tech-support, Not-in-family, Black, Male,14344,0,40, United-States, >50K\n39, Private,314007, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, United-States, <=50K\n48, Private,197683, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K\n44, Private,242521, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n39, Private,290321, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n22, Local-gov,44064, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n27, ?,174163, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K\n42, Private,374790, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,231562, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,33, United-States, <=50K\n27, Private,376150, Some-college,10, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n51, Private,99987, 10th,6, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,120126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,33717, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,132879, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Italy, <=50K\n45, Private,304570, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, China, >50K\n40, Private,100292, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K\n63, Private,117473, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386,0,40, United-States, >50K\n41, Private,239833, HS-grad,9, Married-spouse-absent, Transport-moving, Unmarried, Black, Male,0,0,50, United-States, <=50K\n53, ?,155233, 12th,8, Married-civ-spouse, ?, Wife, White, Female,0,0,40, Italy, <=50K\n34, Private,130369, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Female,1151,0,48, Germany, <=50K\n34, Private,347166, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,502752, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n22, State-gov,255575, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K\n49, Private,277946, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n43, ?,214541, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K\n36, Private,143123, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,69132, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,37, United-States, <=50K\n52, Self-emp-not-inc,34973, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1887,60, United-States, >50K\n29, Private,236992, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,50, United-States, <=50K\n27, Private,492263, 10th,6, Separated, Machine-op-inspct, Own-child, White, Male,0,0,35, Mexico, <=50K\n42, Private,180019, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,65, United-States, <=50K\n49, Self-emp-not-inc,47086, Bachelors,13, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,222853, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n22, Private,344176, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,20, United-States, <=50K\n30, Self-emp-not-inc,223212, Bachelors,13, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n28, Private,110981, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,162688, Assoc-voc,11, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-inc,181307, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,43, United-States, >50K\n39, Private,148903, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,4687,0,50, United-States, >50K\n43, Private,306440, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,66, France, <=50K\n18, Private,210311, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n53, Private,127117, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n74, Private,54732, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, >50K\n39, Private,271521, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,48, Philippines, >50K\n33, ?,216908, 10th,6, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K\n49, Private,543922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K\n21, Private,766115, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,35, United-States, <=50K\n65, ?,52728, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,284166, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1564,50, United-States, >50K\n49, Private,122206, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K\n20, ?,95989, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Private,334039, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,44, United-States, >50K\n46, Self-emp-not-inc,225456, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,112847, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,7298,0,32, United-States, >50K\n61, Self-emp-not-inc,171840, HS-grad,9, Widowed, Prof-specialty, Unmarried, White, Female,0,0,16, United-States, <=50K\n48, Private,180695, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n44, Private,121012, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-inc,126569, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n45, Private,227791, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1740,50, United-States, <=50K\n51, Self-emp-not-inc,290290, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n33, Local-gov,251521, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n55, Self-emp-not-inc,41938, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,8, United-States, <=50K\n25, Private,27678, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,60, United-States, <=50K\n26, Private,133756, HS-grad,9, Divorced, Farming-fishing, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n54, Private,215990, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,461337, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,33, United-States, <=50K\n39, Local-gov,344855, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,20, United-States, >50K\n20, State-gov,214542, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,258170, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Federal-gov,242147, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Other, Male,0,0,45, United-States, <=50K\n42, Private,235700, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,278130, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,261241, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n60, Private,85995, Masters,14, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,50, South, >50K\n42, Private,340885, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,44, United-States, <=50K\n42, Private,152889, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n46, Private,195023, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Columbia, <=50K\n52, State-gov,109600, Masters,14, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,4787,0,44, United-States, >50K\n27, ?,249463, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n43, Private,158177, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n43, State-gov,47818, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,391468, 11th,7, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Local-gov,199995, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K\n31, Private,231043, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n38, ?,281768, 7th-8th,4, Divorced, ?, Unmarried, Black, Female,0,0,30, United-States, <=50K\n44, Private,267790, 9th,5, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n27, Private,217379, Some-college,10, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,421561, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,50953, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,138504, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,30, United-States, <=50K\n36, State-gov,177064, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,103064, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,3674,0,40, United-States, <=50K\n59, Private,184493, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,104089, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,149204, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,405284, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1340,42, United-States, <=50K\n25, Local-gov,137296, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Black, Female,0,0,38, United-States, <=50K\n40, Private,87771, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,1628,45, United-States, <=50K\n38, State-gov,125499, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7688,0,60, India, >50K\n31, Private,59083, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K\n28, Local-gov,138332, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,198914, HS-grad,9, Never-married, Sales, Unmarried, Black, Male,0,0,25, United-States, <=50K\n46, Local-gov,238162, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,50, United-States, >50K\n29, Private,123677, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,40, Laos, <=50K\n38, Federal-gov,325538, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n53, Private,251063, Some-college,10, Separated, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,51471, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,1902,40, United-States, >50K\n39, Private,175681, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,60, ?, <=50K\n44, Private,165599, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n46, Private,149640, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, England, >50K\n30, Private,143526, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,211160, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,342989, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,173631, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n25, Private,141876, HS-grad,9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n45, Private,137604, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,129232, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n64, Federal-gov,271550, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,456922, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Private,232242, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,352188, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,114967, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,201981, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n32, State-gov,159247, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,125905, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,186824, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n42, Local-gov,121012, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n58, Private,110844, Masters,14, Widowed, Sales, Not-in-family, White, Female,0,0,27, United-States, <=50K\n23, Private,143003, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1887,50, India, >50K\n31, Federal-gov,59732, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n28, Private,178489, Bachelors,13, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,45, ?, <=50K\n41, ?,252127, Some-college,10, Widowed, ?, Unmarried, Black, Female,0,0,20, United-States, <=50K\n37, Private,109633, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,16, United-States, >50K\n19, Private,160811, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,38, United-States, <=50K\n27, Self-emp-not-inc,365110, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n61, Self-emp-not-inc,113080, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,58, United-States, >50K\n39, Private,206074, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,173062, Bachelors,13, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K\n58, Private,117273, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n27, Self-emp-not-inc,153805, Some-college,10, Married-civ-spouse, Transport-moving, Other-relative, Other, Male,0,0,50, Ecuador, >50K\n51, Private,293802, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,52, United-States, <=50K\n43, Local-gov,153132, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n46, Private,166809, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n67, ?,34122, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,231725, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,63210, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n35, Private,108293, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, >50K\n57, Private,116878, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Italy, <=50K\n40, Private,110622, Prof-school,15, Married-civ-spouse, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n42, Local-gov,180318, 10th,6, Never-married, Farming-fishing, Unmarried, White, Male,0,0,35, United-States, <=50K\n67, Self-emp-inc,112318, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,252079, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688,0,44, United-States, >50K\n30, Private,27153, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n26, Private,73312, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,15, United-States, <=50K\n51, Private,145409, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,167882, Some-college,10, Widowed, Other-service, Other-relative, Black, Female,0,0,45, Haiti, <=50K\n24, Private,236696, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n48, Self-emp-not-inc,28791, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K\n34, State-gov,118551, Bachelors,13, Married-civ-spouse, Tech-support, Own-child, White, Female,5178,0,25, ?, >50K\n70, Private,187292, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,6418,0,40, United-States, >50K\n35, Private,189922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n61, ?,584259, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, >50K\n26, Private,173992, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n64, Private,253759, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,3, United-States, <=50K\n26, Private,111243, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n39, Self-emp-not-inc,147850, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n55, Private,171015, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,36, United-States, <=50K\n23, Private,118023, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, ?, <=50K\n33, Self-emp-not-inc,361497, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,137290, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n28, Local-gov,401886, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,20, United-States, <=50K\n50, Private,201882, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K\n26, Local-gov,30793, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,55, United-States, >50K\n44, Federal-gov,139161, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, Black, Female,0,1741,40, United-States, <=50K\n51, Private,210736, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,167781, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n37, Private,103986, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,39, United-States, >50K\n29, Private,144592, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,493034, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n27, Private,184078, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,191814, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n24, Private,329852, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,223660, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n47, Private,177087, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, >50K\n30, Private,143766, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n35, Private,234271, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Federal-gov,314822, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n42, Private,195584, Assoc-acdm,12, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n70, Self-emp-inc,207938, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2377,50, United-States, >50K\n41, Private,126850, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n36, Private,279485, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n44, Private,267717, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K\n42, ?,175935, HS-grad,9, Separated, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n20, Private,163665, Some-college,10, Never-married, Transport-moving, Own-child, White, Female,0,0,17, United-States, <=50K\n29, Private,200468, 10th,6, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,91501, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K\n30, Private,182771, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n59, Self-emp-not-inc,56392, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1579,60, United-States, <=50K\n31, Private,20511, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n21, Private,538822, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, Mexico, <=50K\n26, Private,332008, Some-college,10, Never-married, Craft-repair, Unmarried, Asian-Pac-Islander, Male,0,0,37, Taiwan, <=50K\n57, Self-emp-inc,220789, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n59, Self-emp-not-inc,114760, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, >50K\n87, ?,90338, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,2, United-States, <=50K\n25, Private,181576, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K\n39, Private,198841, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K\n53, Private,53197, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K\n32, State-gov,542265, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,193026, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,25505, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n17, Private,375657, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n44, Private,201599, 11th,7, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,181820, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n57, Private,334224, Some-college,10, Married-civ-spouse, Craft-repair, Wife, White, Female,9386,0,40, United-States, >50K\n30, State-gov,54318, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,141388, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n54, Self-emp-not-inc,57101, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n44, Private,168515, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Germany, <=50K\n60, Private,163665, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,16, United-States, >50K\n28, Private,207513, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,42, United-States, >50K\n39, Private,293291, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n55, Private,70088, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,199346, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n55, Local-gov,143949, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,3103,0,45, United-States, >50K\n33, Private,207201, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, >50K\n30, Private,430283, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298,0,40, United-States, >50K\n40, Local-gov,293809, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K\n30, Private,378009, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n40, Private,226608, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,30, Guatemala, >50K\n24, Private,314182, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,0,0,50, United-States, <=50K\n18, Private,170544, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n18, Private,94196, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,25, United-States, <=50K\n49, Private,193047, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n42, Private,112607, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n28, Local-gov,146949, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,309513, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,191389, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K\n24, Private,213902, 7th-8th,4, Never-married, Priv-house-serv, Own-child, White, Female,0,0,32, El-Salvador, <=50K\n73, Self-emp-not-inc,46514, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,25, United-States, <=50K\n35, Private,75855, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7298,0,40, ?, >50K\n23, Private,38707, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n19, Private,188568, Some-college,10, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,215014, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, Mexico, <=50K\n27, Private,184477, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,204235, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,39054, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n64, Self-emp-inc,272531, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,358701, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,10, Mexico, <=50K\n47, Private,217750, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K\n22, Private,200374, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,35, United-States, <=50K\n24, Private,498349, Bachelors,13, Never-married, Transport-moving, Unmarried, Black, Female,0,0,40, United-States, <=50K\n69, State-gov,170458, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n40, Self-emp-not-inc,57233, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,188432, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,33300, Assoc-acdm,12, Never-married, Farming-fishing, Other-relative, White, Male,10520,0,45, United-States, >50K\n31, Private,225779, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,46677, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,42, United-States, <=50K\n41, Private,227968, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,35, Haiti, >50K\n34, Private,85355, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Private,207120, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n28, Local-gov,229223, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,36, United-States, >50K\n20, Private,224640, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,139012, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n40, Federal-gov,130749, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n28, Private,204516, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n20, Private,105479, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n41, Private,197093, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n49, Self-emp-inc,431245, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,155150, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, State-gov,216035, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,388247, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,208908, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n23, Private,259301, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,69333, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,4386,0,80, United-States, >50K\n34, Private,167893, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,64, United-States, >50K\n32, Federal-gov,386877, Assoc-voc,11, Never-married, Tech-support, Own-child, Black, Male,4650,0,40, United-States, <=50K\n54, Private,146551, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,54, United-States, >50K\n48, Private,238360, Bachelors,13, Separated, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n38, Private,187748, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n48, State-gov,50748, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,50136, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, El-Salvador, <=50K\n42, Private,111483, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,298871, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n27, Private,147340, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, >50K\n57, Private,132704, Masters,14, Separated, Prof-specialty, Not-in-family, White, Male,10520,0,32, United-States, >50K\n46, State-gov,327786, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,3325,0,42, United-States, <=50K\n44, Federal-gov,243636, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n42, Local-gov,194417, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,236696, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,337130, 1st-4th,2, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n29, Private,273051, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, Yugoslavia, >50K\n38, Private,186191, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n33, Private,268451, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n61, Private,154600, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,4, United-States, <=50K\n49, Local-gov,405309, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n51, Self-emp-not-inc,99185, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,191765, HS-grad,9, Divorced, Other-service, Other-relative, Black, Female,0,0,35, United-States, <=50K\n21, Private,253583, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n29, ?,297054, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,204397, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,288771, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n52, Private,173987, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Local-gov,33662, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298,0,40, United-States, >50K\n23, Private,91658, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,226902, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, >50K\n45, Private,232586, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n51, Self-emp-not-inc,291755, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, <=50K\n29, ?,207032, HS-grad,9, Married-spouse-absent, ?, Unmarried, Black, Female,0,0,42, Haiti, <=50K\n23, Private,161478, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n73, Self-emp-not-inc,109833, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n47, Self-emp-not-inc,229394, 11th,7, Divorced, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K\n61, ?,69285, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,37, United-States, <=50K\n26, Private,491862, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n40, Private,311534, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n32, Self-emp-not-inc,420895, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,47, United-States, <=50K\n39, Private,226374, 10th,6, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Federal-gov,101345, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,48779, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n42, Private,152676, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,164877, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n33, Private,97521, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,88564, 5th-6th,3, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K\n33, Private,188246, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,189185, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n42, State-gov,163069, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,251905, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,112403, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K\n18, Private,36882, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n33, Self-emp-not-inc,195891, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n36, Private,194905, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,44, United-States, <=50K\n33, Private,133503, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,48, United-States, >50K\n40, Private,31621, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,413373, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n40, Private,196029, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,45, United-States, <=50K\n36, Private,107302, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n45, Private,151267, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, >50K\n52, Private,256861, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,82777, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,147430, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, ?,60726, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,165754, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n36, Private,448337, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, Private,185079, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n36, Private,418702, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n48, Private,41504, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,387335, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,1719,9, United-States, <=50K\n18, Private,261720, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,133963, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n66, ?,357750, 11th,7, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n36, State-gov,179488, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,55, United-States, >50K\n38, Private,60135, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,308746, Prof-school,15, Widowed, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K\n27, Private,278720, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n22, State-gov,477505, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,164711, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n40, Private,208277, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n21, Private,39943, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n49, Private,104542, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,286634, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n28, Private,142712, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n26, Private,336404, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,117983, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,41, United-States, <=50K\n72, ?,108796, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n59, Private,59469, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Iran, <=50K\n37, Private,171968, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n56, ?,119254, 10th,6, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,278617, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,72338, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n49, Local-gov,343231, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,80, United-States, <=50K\n30, Private,63910, HS-grad,9, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n28, Private,190350, 9th,5, Married-civ-spouse, Protective-serv, Wife, Black, Female,0,0,40, United-States, <=50K\n25, State-gov,176162, Bachelors,13, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,37720, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,421467, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,26, United-States, <=50K\n36, Private,138441, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Private,146767, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n20, ?,369678, 12th,8, Never-married, ?, Not-in-family, Other, Male,0,1602,40, United-States, <=50K\n25, Private,160445, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,211695, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,102346, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,2415,20, United-States, >50K\n48, Private,128796, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,111129, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n30, Local-gov,44566, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,118497, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n36, Private,334291, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K\n49, Private,237920, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n34, Local-gov,136331, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n28, Private,187397, HS-grad,9, Never-married, Other-service, Other-relative, Other, Male,0,0,48, Mexico, <=50K\n28, Self-emp-not-inc,119793, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,24982, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n26, Self-emp-not-inc,231714, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,229272, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n66, ?,68219, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,268831, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,53, United-States, <=50K\n45, Self-emp-not-inc,149640, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, >50K\n29, Private,261725, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n74, Private,161387, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,16, United-States, <=50K\n61, Local-gov,260167, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,200928, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,22, United-States, <=50K\n53, Federal-gov,155594, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n57, Self-emp-not-inc,79539, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n41, Private,469454, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,331482, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n43, Private,225193, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n26, ?,370727, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,1977,40, United-States, >50K\n29, Private,82393, HS-grad,9, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,25, Philippines, <=50K\n65, ?,37170, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n41, Private,58484, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n31, Local-gov,156464, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Male,0,0,40, ?, <=50K\n50, Private,344621, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, Private,174752, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n18, Self-emp-inc,174202, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K\n26, Private,261203, 7th-8th,4, Never-married, Other-service, Unmarried, Other, Female,0,0,30, ?, <=50K\n57, Private,316000, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n63, State-gov,216871, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1740,40, United-States, <=50K\n29, Private,246933, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, Mexico, <=50K\n32, Self-emp-not-inc,112115, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n34, Private,264651, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,99185, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,58, United-States, <=50K\n39, Private,176186, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,100219, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,45, United-States, <=50K\n32, Private,46691, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, State-gov,297735, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,90, United-States, <=50K\n40, Private,132222, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,50, United-States, >50K\n25, Private,189656, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,60, United-States, >50K\n54, Local-gov,224934, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n48, Self-emp-inc,149218, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, >50K\n51, Private,158508, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,36, United-States, <=50K\n67, State-gov,261203, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n17, Private,309504, 10th,6, Never-married, Sales, Unmarried, White, Female,0,0,24, United-States, <=50K\n24, State-gov,324637, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,267426, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n68, ?,229016, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, <=50K\n54, Private,46401, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,47, United-States, <=50K\n32, Private,114288, HS-grad,9, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n61, ?,203849, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Federal-gov,193882, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,311269, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,156117, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K\n64, ?,169917, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K\n51, Private,222615, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n41, State-gov,106900, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,60, United-States, >50K\n40, Federal-gov,78036, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,65, United-States, >50K\n27, Private,380560, HS-grad,9, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, Mexico, <=50K\n41, Private,167106, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,3103,0,35, Philippines, >50K\n51, Private,289436, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n36, Private,749636, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-inc,154120, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,55, United-States, <=50K\n43, Private,105119, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n61, Federal-gov,181081, HS-grad,9, Divorced, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K\n31, Private,182237, 10th,6, Separated, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n34, Private,102130, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n43, Private,266324, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,99, United-States, >50K\n52, Private,170562, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,240543, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n37, Federal-gov,187046, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n60, Private,389254, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,179955, Some-college,10, Widowed, Transport-moving, Unmarried, White, Female,0,0,25, Outlying-US(Guam-USVI-etc), <=50K\n21, Private,197997, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n34, Self-emp-inc,343789, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K\n28, Private,191088, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,1741,52, United-States, <=50K\n40, Local-gov,141649, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,433906, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,207982, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,175925, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,85767, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n32, Self-emp-inc,281030, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n90, ?,313986, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,396595, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n20, ?,189203, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,0,0,20, United-States, <=50K\n43, Self-emp-not-inc,163108, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K\n17, Private,141590, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,12, United-States, <=50K\n36, Private,137421, 12th,8, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male,0,0,45, ?, <=50K\n36, Private,67728, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, Italy, <=50K\n30, Private,345522, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,70, United-States, >50K\n45, Private,330087, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,204322, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,50295, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n35, Self-emp-not-inc,147258, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,65, United-States, <=50K\n19, Private,194260, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n56, Private,437727, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n64, ?,34100, Some-college,10, Widowed, ?, Not-in-family, White, Male,0,0,4, United-States, <=50K\n62, ?,186611, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,280960, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,24, United-States, <=50K\n33, Private,33117, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,169628, Bachelors,13, Never-married, Sales, Unmarried, Black, Female,0,0,35, United-States, >50K\n22, State-gov,124942, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,45, United-States, <=50K\n44, Private,143368, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,55, United-States, <=50K\n37, Private,255621, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n34, Self-emp-inc,154227, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,75, United-States, <=50K\n43, Private,171438, Assoc-voc,11, Separated, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K\n39, Private,191524, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,377017, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,32, United-States, <=50K\n58, Private,192806, 7th-8th,4, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,33, United-States, <=50K\n31, ?,259120, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,10, United-States, <=50K\n45, Local-gov,234195, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n30, Private,147596, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n42, Private,147251, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, <=50K\n50, Private,176157, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n25, Local-gov,176162, Assoc-voc,11, Never-married, Protective-serv, Own-child, White, Male,0,0,30, United-States, <=50K\n34, Private,384150, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,107665, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n72, ?,82635, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n60, State-gov,165827, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n41, Private,287306, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K\n71, Self-emp-not-inc,78786, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,10, United-States, <=50K\n40, Self-emp-not-inc,33310, Prof-school,15, Divorced, Other-service, Not-in-family, White, Female,0,2339,35, United-States, <=50K\n22, Private,349368, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,30, United-States, <=50K\n52, Private,117674, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K\n30, Private,310889, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, United-States, <=50K\n36, ?,187167, HS-grad,9, Separated, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n40, Private,379919, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Federal-gov,34862, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n44, Private,201723, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K\n38, Local-gov,161463, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n46, Private,186410, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n57, Federal-gov,62020, Prof-school,15, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,55, United-States, >50K\n39, Private,42044, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,170230, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, >50K\n43, Private,341358, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,199426, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,17, United-States, <=50K\n44, Private,89172, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n22, ?,148955, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,15, South, <=50K\n37, Private,140673, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n20, ?,71788, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,18, United-States, <=50K\n26, State-gov,326033, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,80, United-States, <=50K\n35, Private,129305, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n28, Private,171067, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,143582, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Japan, <=50K\n17, ?,171461, 10th,6, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n18, Private,257980, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,182866, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-inc,69333, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n61, Private,668362, 1st-4th,2, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,132879, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n61, Private,181219, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,40, United-States, >50K\n19, ?,166018, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,120518, HS-grad,9, Widowed, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,183532, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n45, Private,49298, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,157332, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n37, Private,213726, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n26, Private,31143, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, ?,256173, 10th,6, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K\n26, Private,184872, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, >50K\n58, Private,202652, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, Dominican-Republic, <=50K\n61, ?,101602, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, >50K\n64, Private,60940, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,8614,0,50, France, >50K\n19, Private,292590, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,25, United-States, <=50K\n36, Private,141420, Bachelors,13, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n47, Private,159389, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n62, Private,254534, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n36, State-gov,89508, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,238980, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n54, Private,178946, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n31, Private,204752, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n26, Private,290213, Some-college,10, Separated, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,102615, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K\n41, Private,291965, Some-college,10, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n52, Local-gov,175339, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,90547, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,23, United-States, <=50K\n23, ?,449101, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n46, Self-emp-not-inc,101722, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137,0,40, United-States, <=50K\n32, ?,981628, HS-grad,9, Divorced, ?, Unmarried, Black, Male,0,0,40, United-States, <=50K\n59, ?,147989, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n30, Self-emp-inc,204470, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,36, United-States, >50K\n58, Local-gov,311409, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7688,0,30, United-States, >50K\n31, Private,190027, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,40, ?, <=50K\n36, Private,218015, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n31, State-gov,77634, Preschool,1, Never-married, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K\n52, Self-emp-not-inc,42984, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K\n29, Private,413297, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3411,0,70, Mexico, <=50K\n48, Self-emp-not-inc,218835, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, England, <=50K\n30, Private,341051, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n58, Private,252419, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n20, Federal-gov,347935, Some-college,10, Never-married, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K\n19, Private,237848, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,3, United-States, <=50K\n63, Private,174826, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,170086, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n53, Private,470368, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K\n54, Federal-gov,75235, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K\n35, ?,35854, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,746432, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,48, United-States, <=50K\n47, Self-emp-not-inc,258498, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,52, United-States, <=50K\n44, Private,176063, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n80, Self-emp-not-inc,26865, 7th-8th,4, Never-married, Farming-fishing, Unmarried, White, Male,0,0,20, United-States, <=50K\n55, Private,104724, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,346321, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n49, Private,402462, Bachelors,13, Married-spouse-absent, Transport-moving, Unmarried, White, Male,0,0,30, Columbia, <=50K\n27, Private,153078, Prof-school,15, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n42, Private,176063, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n39, Private,451059, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n36, ?,229533, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,106437, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n58, Local-gov,294313, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,55, United-States, <=50K\n63, Private,67903, 9th,5, Separated, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n49, Private,133669, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n36, Self-emp-inc,251730, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K\n46, Private,72896, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n47, Private,155664, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, United-States, >50K\n39, Private,206520, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n33, Private,72338, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,65, Japan, >50K\n43, Local-gov,34640, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0,1887,40, United-States, >50K\n30, Private,236543, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,68, United-States, <=50K\n39, Local-gov,43702, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,37, United-States, <=50K\n44, Private,335248, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,198197, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K\n80, ?,281768, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,4, United-States, <=50K\n31, Private,160594, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Male,0,0,3, United-States, <=50K\n34, Local-gov,231826, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, El-Salvador, <=50K\n28, Private,188171, Assoc-acdm,12, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K\n55, Private,125000, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,166509, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,402367, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,7688,0,45, United-States, >50K\n67, Local-gov,204123, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,10, United-States, <=50K\n53, Self-emp-inc,220786, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n43, Private,254146, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n29, Local-gov,152461, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,42, United-States, <=50K\n19, Private,223669, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n51, Private,120270, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n21, Self-emp-not-inc,304602, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,98, United-States, <=50K\n54, Private,24108, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,32546, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,7430,0,40, United-States, >50K\n41, Private,93885, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K\n28, Private,210765, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,191276, Assoc-voc,11, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n82, Self-emp-not-inc,71438, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K\n23, Private,330571, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,16, United-States, <=50K\n40, Local-gov,138634, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,112264, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,205865, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,45, United-States, <=50K\n21, Private,224640, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,180758, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K\n29, ?,499935, Assoc-voc,11, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,107762, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n17, Private,214787, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n27, Private,211032, 1st-4th,2, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n34, Private,208353, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,157273, 10th,6, Never-married, Other-service, Other-relative, Black, Male,0,0,15, United-States, <=50K\n39, Private,75891, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-inc,177675, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n44, Private,182370, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,200525, 11th,7, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n39, Private,174242, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n28, Private,95566, 1st-4th,2, Married-spouse-absent, Other-service, Own-child, Other, Female,0,0,35, Dominican-Republic, <=50K\n30, Private,30290, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Private,240951, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n58, Private,183810, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,24, United-States, <=50K\n49, Private,94342, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n61, Self-emp-inc,148577, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n27, Private,103634, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K\n59, Self-emp-not-inc,83542, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Federal-gov,76131, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,40, United-States, >50K\n42, Federal-gov,262402, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,198286, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K\n41, Self-emp-inc,145441, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n35, ?,273558, Some-college,10, Never-married, ?, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n50, Local-gov,117496, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,24, United-States, <=50K\n36, Private,128876, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,199698, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,45, United-States, <=50K\n38, Private,65390, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n46, Private,128645, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n59, Private,53481, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n55, Private,92215, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n49, Local-gov,78859, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,323,20, United-States, <=50K\n59, Self-emp-inc,187502, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n38, Private,242080, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n22, Private,41837, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,25, United-States, <=50K\n28, Private,291374, 12th,8, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n47, Private,148995, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,60, United-States, >50K\n59, Private,159008, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, <=50K\n37, Private,271013, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,199046, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,164280, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Portugal, <=50K\n35, Local-gov,116960, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n55, Private,100054, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,183824, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n48, Private,313925, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K\n48, Private,379883, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Cuba, >50K\n70, ?,92593, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n27, Private,189777, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,198330, Masters,14, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,37, United-States, <=50K\n32, Private,127451, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n62, ?,31577, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,18, United-States, <=50K\n18, ?,90230, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n50, Private,301024, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K\n38, Self-emp-not-inc,175732, HS-grad,9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,15, United-States, <=50K\n18, Private,218889, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K\n46, Private,117605, 9th,5, Divorced, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K\n26, Private,154571, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,45, United-States, >50K\n44, Private,228057, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Dominican-Republic, <=50K\n32, Private,173998, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n25, Private,90752, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n55, Private,51008, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Federal-gov,113398, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n25, Private,74977, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n40, Private,101593, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,228346, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n60, Private,180418, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,44489, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n43, Self-emp-not-inc,277488, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n24, Private,103064, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,55, United-States, <=50K\n34, Private,226872, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,330416, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K\n24, Private,186495, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K\n47, State-gov,205712, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,38, United-States, <=50K\n18, Private,217743, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Self-emp-inc,52565, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1485,40, United-States, <=50K\n22, Private,239954, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,349986, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n41, Private,117585, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,40, United-States, >50K\n68, Self-emp-not-inc,122094, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, United-States, <=50K\n62, Self-emp-not-inc,26857, 7th-8th,4, Widowed, Farming-fishing, Other-relative, White, Female,0,0,35, United-States, <=50K\n25, Local-gov,192321, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Private,88095, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,24, Mexico, <=50K\n44, Private,144067, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,12, ?, <=50K\n32, Private,124187, 9th,5, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K\n49, Private,123681, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, >50K\n68, Private,145638, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,130513, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, Peru, <=50K\n47, Federal-gov,197038, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,189092, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Self-emp-not-inc,198841, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,317969, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n37, Private,103121, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1848,40, United-States, >50K\n34, Private,111589, 10th,6, Never-married, Other-service, Unmarried, Black, Female,0,0,40, Jamaica, <=50K\n46, Local-gov,267952, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,36, United-States, <=50K\n21, Private,63899, 11th,7, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n26, Private,473625, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K\n45, Private,187901, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,2258,44, United-States, >50K\n17, Private,24090, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,35, United-States, <=50K\n36, Self-emp-inc,102729, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K\n33, Private,91666, 12th,8, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,215873, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K\n32, Private,152109, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n24, Private,175586, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n37, Private,232614, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n53, State-gov,229465, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n44, Private,147110, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,14344,0,40, United-States, >50K\n43, Local-gov,161240, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K\n29, Private,358124, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,52, United-States, <=50K\n47, Private,222529, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K\n37, Self-emp-not-inc,338320, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n43, Self-emp-inc,62026, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K\n23, Private,263886, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n50, Private,310774, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n25, Private,98155, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,259307, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n39, Private,358753, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n41, Private,29762, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K\n32, Private,202729, HS-grad,9, Married-civ-spouse, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,28790, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,53209, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Local-gov,169020, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,127195, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,211731, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n42, Self-emp-not-inc,126614, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Other, Male,0,0,30, Iran, <=50K\n45, Private,259463, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,228411, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K\n25, Private,117827, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n22, Federal-gov,57216, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K\n46, State-gov,250821, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n48, Self-emp-inc,88564, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,45, United-States, <=50K\n45, Private,172822, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,52, United-States, >50K\n19, Private,251579, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,14, United-States, <=50K\n31, Private,118399, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-inc,178383, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,70, United-States, <=50K\n40, Self-emp-not-inc,170866, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n60, ?,268954, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,12, United-States, >50K\n52, ?,89951, 12th,8, Married-civ-spouse, ?, Wife, Black, Female,0,0,40, United-States, >50K\n22, Private,203894, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n25, Private,237065, Some-college,10, Divorced, Other-service, Own-child, Black, Male,0,0,38, United-States, <=50K\n51, Local-gov,108435, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, >50K\n32, Private,93213, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,62, United-States, <=50K\n51, Self-emp-inc,231230, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K\n42, Private,386175, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n39, Private,128392, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K\n24, Private,223515, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n52, Private,208630, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,1741,38, United-States, <=50K\n58, ?,97969, 1st-4th,2, Married-spouse-absent, ?, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n43, Private,174295, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n31, Private,60229, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,66095, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n31, Federal-gov,130057, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K\n61, Private,179743, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,20, United-States, <=50K\n26, Private,192022, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Private,45288, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n62, ?,178764, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,99476, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n18, Private,41973, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,5, United-States, <=50K\n23, Private,162228, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K\n21, Private,211968, Some-college,10, Never-married, Sales, Own-child, White, Female,0,1762,28, United-States, <=50K\n46, Private,211226, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,36, United-States, <=50K\n38, Private,33397, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n53, Private,120839, 12th,8, Divorced, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,36327, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,139703, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,107827, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,25, United-States, <=50K\n46, Local-gov,140219, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,8614,0,55, United-States, >50K\n44, Local-gov,203761, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Local-gov,114719, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n20, Private,344394, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n35, Private,195516, 7th-8th,4, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Mexico, <=50K\n40, State-gov,31627, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,20, United-States, <=50K\n70, Private,174032, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,226875, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,566537, Preschool,1, Married-civ-spouse, Other-service, Husband, White, Male,0,1672,40, Mexico, <=50K\n18, Private,36162, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,5, United-States, <=50K\n45, Self-emp-not-inc,31478, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,2829,0,60, United-States, <=50K\n52, Private,294991, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n24, ?,108495, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-inc,161532, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, United-States, <=50K\n28, Local-gov,332249, HS-grad,9, Separated, Transport-moving, Own-child, White, Male,0,0,45, United-States, <=50K\n32, Private,268147, Assoc-voc,11, Never-married, Tech-support, Unmarried, White, Female,0,0,60, United-States, <=50K\n56, Federal-gov,317847, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,52028, 1st-4th,2, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n20, Private,184045, Some-college,10, Never-married, Sales, Unmarried, Black, Female,0,0,30, United-States, <=50K\n32, Private,206609, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n59, Private,152968, Some-college,10, Separated, Adm-clerical, Other-relative, White, Male,3325,0,40, United-States, <=50K\n21, Private,213015, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,2176,0,40, United-States, <=50K\n32, Private,313835, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,66385, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,5013,0,40, United-States, <=50K\n22, Private,205940, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,1055,0,30, United-States, <=50K\n51, Self-emp-inc,260938, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,60567, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,40, United-States, <=50K\n23, Private,335067, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n34, Private,331126, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,30, United-States, <=50K\n53, Private,156612, 12th,8, Divorced, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,188436, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n60, Private,227468, Some-college,10, Widowed, Protective-serv, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n55, Private,183580, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K\n57, Self-emp-not-inc,50990, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n59, Private,384246, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n26, ?,375313, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n30, Private,176410, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Own-child, White, Female,7298,0,16, United-States, >50K\n49, Private,93639, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,43, United-States, <=50K\n45, Private,30289, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Self-emp-inc,124950, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,126675, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n21, Private,145964, 12th,8, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, State-gov,345712, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,97474, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n37, Private,180342, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n19, Private,167087, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, ?,192825, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n30, Private,318749, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,35, Germany, <=50K\n27, ?,147638, Masters,14, Never-married, ?, Not-in-family, Other, Female,0,0,40, Japan, <=50K\n59, Federal-gov,293971, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,229566, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, >50K\n25, Private,242464, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,111067, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,80, United-States, >50K\n21, ?,155697, 9th,5, Never-married, ?, Own-child, White, Male,0,0,42, United-States, <=50K\n49, Local-gov,106554, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K\n49, Private,23776, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n51, ?,43909, HS-grad,9, Divorced, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, Private,105808, 9th,5, Widowed, Transport-moving, Unmarried, White, Male,0,0,40, United-States, >50K\n42, Private,169995, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n53, Private,141388, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,241431, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n21, ?,78374, HS-grad,9, Never-married, ?, Other-relative, Asian-Pac-Islander, Female,0,0,24, United-States, <=50K\n54, Self-emp-not-inc,158948, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,15, United-States, <=50K\n66, Private,115498, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, ?, >50K\n34, Private,272411, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,30529, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n62, ?,263374, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Canada, <=50K\n30, Private,190228, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,126060, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,391192, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,214069, HS-grad,9, Separated, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,170871, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,60, United-States, >50K\n55, Private,118993, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,10, United-States, <=50K\n26, Private,245880, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n45, Private,174794, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,56, Germany, <=50K\n61, Local-gov,153408, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n34, ?,330301, 7th-8th,4, Separated, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n26, Private,385278, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,60, United-States, <=50K\n44, Federal-gov,38434, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,111679, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n55, Private,168956, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,86143, Some-college,10, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K\n48, Private,99835, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,263561, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n44, Private,118536, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n32, Self-emp-inc,209691, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Canada, <=50K\n54, Private,123374, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,137225, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,119359, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,10, China, >50K\n56, Private,134153, 10th,6, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n47, Private,121124, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,147655, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,165138, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n24, Federal-gov,312017, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,272950, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,259323, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n44, Federal-gov,281739, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,13550,0,50, United-States, >50K\n21, Private,119156, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,165881, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n23, State-gov,136075, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K\n50, Private,187465, 11th,7, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,328561, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K\n48, Private,350440, Some-college,10, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K\n38, Self-emp-not-inc,109133, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n48, Private,109814, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K\n39, Private,86643, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n52, Federal-gov,154521, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,44, United-States, >50K\n63, Private,45912, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n48, Private,175070, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,2258,40, United-States, >50K\n37, Private,338033, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, State-gov,158963, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Self-emp-inc,121441, 11th,7, Never-married, Exec-managerial, Other-relative, White, Male,0,2444,40, United-States, >50K\n47, Self-emp-not-inc,242391, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n19, Private,119964, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Female,0,0,15, United-States, <=50K\n34, Private,193344, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, Germany, <=50K\n29, Local-gov,45554, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,249716, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K\n53, Private,58985, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,24, United-States, <=50K\n24, Private,456367, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,117381, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K\n50, Self-emp-not-inc,240922, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,1408,5, United-States, <=50K\n31, Private,226443, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,364342, Assoc-voc,11, Never-married, Sales, Not-in-family, Black, Female,0,0,25, United-States, <=50K\n42, Local-gov,101593, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,42, United-States, <=50K\n23, Private,267471, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n22, Private,186849, 11th,7, Divorced, Sales, Own-child, White, Male,0,0,50, United-States, <=50K\n65, Private,174603, 5th-6th,3, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,10, Italy, <=50K\n34, Private,115040, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n23, Private,142766, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,1055,0,20, United-States, <=50K\n38, Private,59660, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K\n45, Self-emp-not-inc,49595, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K\n19, Private,127491, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,155933, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,1602,8, United-States, <=50K\n23, Private,122272, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n37, Private,143771, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n59, Private,91384, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n36, State-gov,135874, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,207066, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,10520,0,45, United-States, >50K\n51, Private,172493, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,12, United-States, <=50K\n42, Local-gov,189956, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,30, United-States, <=50K\n35, Private,106967, Masters,14, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,200153, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K\n25, Private,149943, HS-grad,9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,4101,0,60, ?, <=50K\n41, Private,151736, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,67852, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,35, United-States, <=50K\n36, Private,54229, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,37, United-States, <=50K\n34, Self-emp-inc,154120, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n44, Self-emp-not-inc,157217, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K\n31, Federal-gov,381645, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,160785, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,133584, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,170230, Masters,14, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Private,250206, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n19, Private,128363, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n43, Local-gov,163434, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,55, United-States, >50K\n50, Private,195690, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n44, Self-emp-inc,138991, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n46, Private,118419, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,38, United-States, <=50K\n52, Self-emp-not-inc,185407, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n52, Self-emp-not-inc,283079, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n18, Private,119655, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K\n29, Private,153416, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n19, ?,204868, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,36, United-States, <=50K\n34, Private,220362, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Local-gov,203078, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K\n64, State-gov,104361, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,65, United-States, <=50K\n68, Private,274096, 10th,6, Divorced, Transport-moving, Not-in-family, White, Male,0,0,20, United-States, <=50K\n42, State-gov,455553, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n41, Private,112283, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n41, Self-emp-inc,64506, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n22, State-gov,24395, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K\n67, Self-emp-inc,182581, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,20, United-States, >50K\n27, Private,100669, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n25, Private,178025, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n49, ?,113913, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,60, United-States, <=50K\n28, Private,55191, Assoc-acdm,12, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K\n51, Federal-gov,223206, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024,0,40, Vietnam, >50K\n23, Local-gov,162551, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,35, China, <=50K\n19, Private,693066, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n72, ?,96867, 5th-6th,3, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,256362, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n53, Private,539864, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K\n35, Private,241153, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,284395, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,180039, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n45, Private,178416, Assoc-voc,11, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,175710, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, ?, <=50K\n22, Local-gov,164775, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Guatemala, >50K\n55, Private,176897, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,265097, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1902,40, United-States, >50K\n22, Private,193090, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,37, United-States, <=50K\n37, Private,186009, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1672,60, United-States, <=50K\n28, Private,175262, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,109928, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K\n37, Self-emp-not-inc,162834, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,45, United-States, >50K\n50, Private,177896, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,181372, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n40, Private,70645, Preschool,1, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n51, Private,128272, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n56, Private,106723, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,122348, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,35, United-States, <=50K\n40, Private,177905, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,44, United-States, >50K\n22, Private,254547, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, Jamaica, <=50K\n47, Self-emp-inc,102308, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,45, United-States, >50K\n44, Private,33105, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n30, Private,215441, Some-college,10, Never-married, Adm-clerical, Not-in-family, Other, Male,0,0,40, ?, <=50K\n44, Local-gov,197919, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,206139, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,117849, Assoc-acdm,12, Divorced, Sales, Own-child, White, Male,0,0,44, United-States, <=50K\n26, Private,323044, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, Germany, >50K\n34, Private,90415, Assoc-voc,11, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n47, Private,294913, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K\n36, Private,127573, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n21, Private,180190, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,46, United-States, <=50K\n45, State-gov,231013, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,356015, HS-grad,9, Separated, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,35, Hong, <=50K\n33, Private,198069, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,65, United-States, <=50K\n58, Self-emp-not-inc,99141, HS-grad,9, Divorced, Farming-fishing, Unmarried, White, Female,0,0,10, United-States, <=50K\n31, Private,188246, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n32, Self-emp-not-inc,116508, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n44, Federal-gov,38434, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K\n24, Private,128477, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,91839, Bachelors,13, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,7688,0,20, United-States, >50K\n43, Private,409922, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n49, Private,185041, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,103925, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K\n42, Self-emp-not-inc,34037, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Male,0,0,35, United-States, <=50K\n31, Private,251659, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,1485,55, ?, >50K\n19, Private,57145, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n41, Private,182108, Doctorate,16, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, >50K\n51, Self-emp-inc,213296, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n51, Self-emp-inc,28765, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n63, Private,37792, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,31, United-States, <=50K\n39, Federal-gov,232036, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,33678, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n62, Without-pay,159908, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,16, United-States, <=50K\n27, Private,176761, HS-grad,9, Never-married, Craft-repair, Other-relative, Other, Male,0,0,40, Nicaragua, <=50K\n32, Private,260954, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2042,30, United-States, <=50K\n37, Local-gov,180342, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n47, Local-gov,324791, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,50, United-States, >50K\n31, Private,183801, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,43, United-States, >50K\n42, Private,204235, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,249720, Assoc-voc,11, Married-spouse-absent, Sales, Unmarried, Black, Female,0,0,32, United-States, <=50K\n60, Private,127084, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,2042,34, United-States, <=50K\n42, Local-gov,201495, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K\n38, Private,447346, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, >50K\n24, Private,206008, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, Black, Male,0,0,20, United-States, <=50K\n34, Private,286020, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n20, ?,99891, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n29, Local-gov,169544, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,48, United-States, <=50K\n90, Private,313749, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,25, United-States, <=50K\n55, Private,89182, 12th,8, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Italy, <=50K\n36, Private,258102, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,255466, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n50, Private,38795, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,311907, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n54, Private,171924, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K\n26, Private,164488, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,10, United-States, <=50K\n44, Private,297991, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,50, United-States, <=50K\n28, Private,478315, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n54, Local-gov,34832, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n21, Private,67804, 9th,5, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,20, United-States, <=50K\n24, Private,34568, Assoc-voc,11, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,47151, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,56, United-States, <=50K\n59, ?,120617, Some-college,10, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n41, Private,318046, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K\n29, Private,363963, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,92811, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,33678, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n42, Private,66118, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,160474, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K\n44, Private,159960, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,242987, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Columbia, <=50K\n61, Private,232719, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n65, Local-gov,103153, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1411,40, United-States, <=50K\n45, Local-gov,162187, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n59, Private,207391, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Never-worked,176673, HS-grad,9, Married-civ-spouse, ?, Wife, Black, Female,0,0,40, United-States, <=50K\n34, Private,356882, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n24, Private,427686, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K\n42, Self-emp-inc,191196, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, ?, >50K\n37, Private,377798, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K\n36, Private,43712, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, ?,205939, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Private,161691, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,2559,40, United-States, >50K\n34, Private,346034, 12th,8, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,35, Mexico, <=50K\n41, Private,144460, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, Italy, <=50K\n18, Never-worked,153663, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,4, United-States, <=50K\n26, Private,262617, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n23, Federal-gov,173851, HS-grad,9, Never-married, Armed-Forces, Not-in-family, White, Male,0,0,8, United-States, <=50K\n63, ?,126540, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,5, United-States, <=50K\n34, Private,117963, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,219737, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,37, United-States, <=50K\n37, Private,328466, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, Mexico, <=50K\n54, State-gov,138852, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n22, Local-gov,195532, Some-college,10, Never-married, Protective-serv, Other-relative, White, Female,0,0,43, United-States, <=50K\n32, Private,188246, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, State-gov,138162, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n31, State-gov,110714, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,37, United-States, <=50K\n48, Private,123075, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,330466, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Hong, <=50K\n31, Private,254304, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K\n28, Private,435842, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,118657, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,278188, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,45, United-States, <=50K\n26, Private,233777, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, Mexico, <=50K\n37, Self-emp-inc,328466, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,176580, 5th-6th,3, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n18, ?,156608, 11th,7, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n32, Private,172415, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,194951, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,55, Ireland, <=50K\n33, Local-gov,318921, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Female,0,0,35, United-States, <=50K\n49, Private,189462, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n75, Self-emp-not-inc,192813, Masters,14, Widowed, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n74, Self-emp-not-inc,199136, Bachelors,13, Widowed, Craft-repair, Not-in-family, White, Male,15831,0,8, Germany, >50K\n26, Private,156805, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n66, ?,93318, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,121966, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n18, Private,347336, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n33, Private,205950, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, State-gov,212143, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n44, Private,187821, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n36, Private,250807, 11th,7, Never-married, Craft-repair, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n53, Private,291755, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n60, Private,36077, 7th-8th,4, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,119793, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K\n36, Private,184655, 10th,6, Divorced, Transport-moving, Unmarried, White, Male,0,0,48, United-States, <=50K\n35, Private,162256, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,6849,0,40, United-States, <=50K\n45, Self-emp-not-inc,204405, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K\n23, Private,133355, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K\n35, Private,89559, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,55, United-States, <=50K\n34, Private,115066, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n46, Private,139514, Preschool,1, Married-civ-spouse, Machine-op-inspct, Other-relative, Black, Male,0,0,75, Dominican-Republic, <=50K\n58, State-gov,200316, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Local-gov,166502, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n63, Private,226422, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,251305, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,190482, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,76, United-States, <=50K\n41, Private,122215, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n42, Private,248356, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n90, Local-gov,214594, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,2653,0,40, United-States, <=50K\n41, Private,220460, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,174043, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n53, Self-emp-not-inc,137547, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,27828,0,40, Philippines, >50K\n49, Self-emp-not-inc,111959, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Scotland, >50K\n51, Private,40641, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n22, Private,205940, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,265077, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n59, Private,395736, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,306225, HS-grad,9, Divorced, Craft-repair, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Japan, <=50K\n28, Private,180299, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K\n39, Private,214896, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, El-Salvador, <=50K\n25, Private,273792, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,37, United-States, <=50K\n48, State-gov,224474, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n62, Private,271431, 9th,5, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,42, United-States, <=50K\n44, Local-gov,150171, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Federal-gov,381789, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n62, Private,170984, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n32, Private,108256, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Federal-gov,23789, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n20, Private,176321, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K\n40, Private,260425, Assoc-acdm,12, Separated, Tech-support, Unmarried, White, Female,1471,0,32, United-States, <=50K\n47, Private,248059, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,47, United-States, >50K\n60, Private,56248, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,199763, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,0,0,81, United-States, <=50K\n18, Private,200047, 12th,8, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K\n43, Private,191712, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,1741,40, United-States, <=50K\n31, Self-emp-not-inc,156033, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n22, Private,173736, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n56, Private,135458, HS-grad,9, Divorced, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n41, Private,185660, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,222005, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K\n42, Private,161510, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K\n53, Local-gov,186303, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,40, United-States, >50K\n52, Local-gov,143533, 7th-8th,4, Never-married, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K\n42, Private,288154, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,89, United-States, >50K\n48, Private,325372, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Portugal, <=50K\n35, Private,379959, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,168387, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,234640, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n33, Private,232475, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K\n30, Private,205152, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,112115, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,183854, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n26, Private,164386, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,48, United-States, <=50K\n61, Private,149620, Some-college,10, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n45, Private,199590, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K\n29, Private,83742, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K\n57, Self-emp-not-inc,65080, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,191335, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,50, United-States, >50K\n20, Private,227778, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,56, United-States, <=50K\n26, Private,48280, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,66304, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n23, Private,45834, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n31, Private,298995, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,35, United-States, <=50K\n47, Private,161950, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n61, Private,98776, 11th,7, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,30, United-States, <=50K\n35, Private,102268, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n23, Private,180771, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Wife, Amer-Indian-Eskimo, Female,0,0,35, Mexico, <=50K\n20, ?,203992, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,206878, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n39, Federal-gov,110622, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n51, Local-gov,203334, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n61, Self-emp-not-inc,50483, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, United-States, <=50K\n51, Private,274502, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,48, United-States, <=50K\n36, Private,208068, Preschool,1, Divorced, Other-service, Not-in-family, Other, Male,0,0,72, Mexico, <=50K\n41, Self-emp-not-inc,168098, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,213307, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Female,7443,0,35, United-States, <=50K\n25, Private,175128, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,40955, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n19, Private,60890, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,49, United-States, <=50K\n66, Self-emp-not-inc,102686, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, >50K\n23, Private,190273, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,176185, Some-college,10, Married-spouse-absent, Craft-repair, Own-child, White, Male,0,0,60, United-States, >50K\n53, Private,304504, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,45, United-States, >50K\n25, Private,390657, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n18, Private,41381, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,1602,20, United-States, <=50K\n51, Private,101432, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,190682, HS-grad,9, Widowed, Craft-repair, Not-in-family, Black, Female,0,1669,50, United-States, <=50K\n53, Private,158993, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,38, United-States, <=50K\n17, Private,117798, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n61, Private,137554, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-inc,71556, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, ?, >50K\n38, Private,257416, 9th,5, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Private,195617, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,20, United-States, <=50K\n32, Private,236318, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,32, United-States, <=50K\n46, Private,42251, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n50, Private,257933, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,109133, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n30, Self-emp-not-inc,261943, 11th,7, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,30, Honduras, <=50K\n33, Private,139057, Masters,14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K\n36, Private,237943, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K\n85, Private,98611, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,3, Poland, <=50K\n62, Private,128092, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K\n24, Private,284317, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,32, United-States, <=50K\n48, Self-emp-inc,185041, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K\n58, Local-gov,223214, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-inc,173664, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n66, Private,269665, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,25, United-States, <=50K\n37, Private,121521, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K\n55, Private,199713, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n39, Self-emp-not-inc,193689, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, <=50K\n58, Self-emp-inc,181974, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,99, ?, <=50K\n50, Private,485710, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n28, Private,185647, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n34, Private,30673, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n41, Federal-gov,160467, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,1506,0,40, United-States, <=50K\n36, Private,186819, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K\n22, Private,67234, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,45, United-States, <=50K\n35, Private,30673, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,84, United-States, <=50K\n49, ?,114648, 12th,8, Divorced, ?, Other-relative, Black, Male,0,0,40, United-States, <=50K\n21, Private,182117, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n64, State-gov,222966, 7th-8th,4, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K\n41, Private,201495, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,301229, Assoc-voc,11, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,157747, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,155382, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n48, Private,268083, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,113987, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n24, Private,216984, Some-college,10, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,35, United-States, <=50K\n51, Private,177669, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n32, Private,164190, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n61, Private,355645, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K\n60, ?,134152, 9th,5, Divorced, ?, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n33, Private,63079, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,217597, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,0,50, ?, <=50K\n24, Private,381895, 11th,7, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n82, ?,403910, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,3, United-States, <=50K\n26, Private,179010, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K\n18, Private,436163, 11th,7, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n34, Private,321709, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K\n57, Private,153918, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,403788, HS-grad,9, Never-married, Craft-repair, Other-relative, Black, Male,0,0,40, United-States, <=50K\n34, Private,60567, 11th,7, Divorced, Transport-moving, Unmarried, White, Male,0,880,60, United-States, <=50K\n71, Private,138145, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,79649, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n47, Private,312088, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,208630, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, >50K\n33, Private,182401, 10th,6, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n38, Private,32916, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n50, Private,302372, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,155093, 10th,6, Divorced, Other-service, Not-in-family, Black, Female,0,0,38, Dominican-Republic, <=50K\n32, Private,192965, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K\n39, Private,107302, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, ?, >50K\n25, Local-gov,514716, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n20, Private,270436, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,42972, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,22, United-States, >50K\n40, Private,142657, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,45, United-States, <=50K\n66, Federal-gov,47358, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,3471,0,40, United-States, <=50K\n30, Private,176175, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,24, United-States, <=50K\n36, Private,131459, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n57, Local-gov,110417, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K\n46, Private,364548, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n27, Private,177398, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,64, United-States, <=50K\n33, Private,273243, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n58, Private,147707, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,77266, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K\n26, Private,191648, Assoc-acdm,12, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,15, United-States, <=50K\n81, ?,120478, Assoc-voc,11, Divorced, ?, Unmarried, White, Female,0,0,1, ?, <=50K\n32, Private,211349, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,203715, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,292592, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n29, Private,125976, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n35, ?,320084, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,55, United-States, >50K\n30, ?,33811, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,99, United-States, <=50K\n34, Private,204461, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n54, Private,337992, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, Japan, >50K\n37, Private,179137, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,39, United-States, <=50K\n22, Private,325033, 12th,8, Never-married, Protective-serv, Own-child, Black, Male,0,0,35, United-States, <=50K\n34, Private,160216, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, >50K\n30, Private,345898, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,46, United-States, <=50K\n38, Private,139180, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,15020,0,45, United-States, >50K\n71, ?,287372, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, >50K\n45, State-gov,252208, HS-grad,9, Separated, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n41, ?,202822, HS-grad,9, Separated, ?, Not-in-family, Black, Female,0,0,32, United-States, <=50K\n72, ?,129912, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n45, Local-gov,119199, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,48, United-States, <=50K\n31, Private,199655, Masters,14, Divorced, Other-service, Not-in-family, Other, Female,0,0,30, United-States, <=50K\n39, Local-gov,111499, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n37, Private,198216, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,260761, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n65, Self-emp-not-inc,99359, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,1086,0,60, United-States, <=50K\n43, State-gov,255835, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,27242, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,34066, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n43, Private,84661, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n32, Private,116138, Masters,14, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,11, Taiwan, <=50K\n53, Private,321865, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,310152, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,257302, Assoc-acdm,12, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,38, United-States, <=50K\n40, Private,154374, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n58, Private,151910, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,201490, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n52, Self-emp-inc,287927, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,40, United-States, >50K\n25, Private,226802, 11th,7, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n38, Private,89814, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Local-gov,336951, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,160323, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,7688,0,40, United-States, >50K.\n18, ?,103497, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n34, Private,198693, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n29, ?,227026, HS-grad,9, Never-married, ?, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n63, Self-emp-not-inc,104626, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,32, United-States, >50K.\n24, Private,369667, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n55, Private,104996, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K.\n65, Private,184454, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,6418,0,40, United-States, >50K.\n36, Federal-gov,212465, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,82091, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,39, United-States, <=50K.\n58, ?,299831, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K.\n48, Private,279724, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,48, United-States, >50K.\n43, Private,346189, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n20, State-gov,444554, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n43, Private,128354, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K.\n37, Private,60548, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,20, United-States, <=50K.\n40, Private,85019, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, ?, >50K.\n34, Private,107914, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,47, United-States, >50K.\n34, Private,238588, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,35, United-States, <=50K.\n72, ?,132015, 7th-8th,4, Divorced, ?, Not-in-family, White, Female,0,0,6, United-States, <=50K.\n25, Private,220931, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, Peru, <=50K.\n25, Private,205947, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,432824, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,90, United-States, >50K.\n22, Private,236427, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K.\n23, Private,134446, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Male,0,0,54, United-States, <=50K.\n54, Private,99516, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n32, Self-emp-not-inc,109282, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n46, State-gov,106444, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,7688,0,38, United-States, >50K.\n56, Self-emp-not-inc,186651, 11th,7, Widowed, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K.\n24, Self-emp-not-inc,188274, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n23, Local-gov,258120, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,43311, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n65, ?,191846, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Local-gov,403681, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,248446, 5th-6th,3, Never-married, Priv-house-serv, Not-in-family, White, Male,0,0,50, Guatemala, <=50K.\n17, Private,269430, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,257509, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n65, Private,136384, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n44, Self-emp-inc,120277, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n36, Private,465326, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,103634, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n20, State-gov,138371, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,32, United-States, <=50K.\n28, Private,242832, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, >50K.\n39, Private,290208, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n54, Private,186272, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3908,0,50, United-States, <=50K.\n52, Private,201062, 11th,7, Separated, Priv-house-serv, Not-in-family, Black, Female,0,0,18, United-States, <=50K.\n56, Self-emp-inc,131916, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n18, Private,54440, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n39, Private,280215, HS-grad,9, Divorced, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n21, Private,214399, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,1721,24, United-States, <=50K.\n22, Private,54164, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,14084,0,60, United-States, >50K.\n38, Private,219446, 9th,5, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,54, Mexico, <=50K.\n21, Private,110677, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n63, Private,145985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Local-gov,382078, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,50, United-States, >50K.\n42, Self-emp-inc,170721, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,50, United-States, >50K.\n33, Private,269705, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,101135, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n39, Private,118429, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,31208, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,281384, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n47, Local-gov,171807, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,109912, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, ?, <=50K.\n41, Self-emp-inc,445382, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,60, United-States, >50K.\n19, Private,105460, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n46, Private,170338, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,102606, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K.\n55, Private,323887, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K.\n46, Private,175622, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,229636, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n21, Private,388946, Some-college,10, Separated, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n46, Private,269034, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Dominican-Republic, <=50K.\n17, ?,165361, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n41, Private,75012, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n69, Self-emp-inc,174379, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K.\n50, Private,312477, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,72055, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Self-emp-inc,67001, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,213734, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,83141, Some-college,10, Separated, Other-service, Not-in-family, White, Male,0,1876,40, United-States, <=50K.\n44, Self-emp-inc,223881, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,50, ?, >50K.\n31, Self-emp-not-inc,113752, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n43, Private,170482, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,44, United-States, <=50K.\n20, Federal-gov,244689, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K.\n55, Private,160631, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,56, United-States, >50K.\n24, Federal-gov,228724, Some-college,10, Never-married, Armed-Forces, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, ?,38434, Masters,14, Married-civ-spouse, ?, Wife, White, Female,7688,0,10, United-States, >50K.\n59, Private,292946, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n49, Federal-gov,77443, 7th-8th,4, Never-married, Other-service, Not-in-family, Black, Male,0,0,20, United-States, <=50K.\n33, Private,176410, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,5178,0,10, United-States, >50K.\n59, Federal-gov,98984, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,198751, Masters,14, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n20, Private,479296, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n25, Private,235218, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n49, Private,164877, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Private,272087, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,169699, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, ?,189762, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,18, United-States, <=50K.\n33, Private,202191, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n22, Private,212261, Some-college,10, Never-married, Transport-moving, Own-child, Black, Male,0,0,39, United-States, <=50K.\n58, Self-emp-not-inc,301568, 9th,5, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n52, Local-gov,155233, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,28, United-States, <=50K.\n36, Private,75826, 10th,6, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Local-gov,201520, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,154236, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,2597,0,40, United-States, <=50K.\n19, Private,289227, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,16, United-States, <=50K.\n18, Private,217439, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K.\n18, Private,179020, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,48, United-States, <=50K.\n28, Private,149624, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,337266, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n20, ?,30796, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n40, Private,103541, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,206721, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n46, Private,96773, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,200967, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n44, Private,180019, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n43, Private,179866, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, >50K.\n31, Local-gov,198770, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K.\n18, Private,219256, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n19, Private,248730, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,30, United-States, <=50K.\n41, Private,110732, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,181020, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K.\n69, Private,183791, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n48, Federal-gov,42972, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n28, Private,134813, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Self-emp-not-inc,115438, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, Ireland, >50K.\n41, Private,239296, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,50, United-States, >50K.\n41, Private,428420, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,247846, HS-grad,9, Never-married, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n20, ?,334105, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Self-emp-inc,100793, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,41, United-States, >50K.\n57, Private,244478, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,48, United-States, <=50K.\n30, Private,142921, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,182863, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n49, Private,171128, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n33, Private,145402, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,35, United-States, <=50K.\n23, Private,306309, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,83822, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,262118, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,22, Germany, <=50K.\n40, Private,155972, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K.\n43, Self-emp-inc,214503, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,45, United-States, >50K.\n34, Private,159303, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K.\n47, Self-emp-not-inc,174995, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n44, Private,26669, Assoc-voc,11, Widowed, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K.\n33, Private,177727, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n55, Private,124771, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n19, Private,456736, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,2907,0,30, United-States, <=50K.\n28, Private,216604, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,14, United-States, <=50K.\n27, Private,221561, 11th,7, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,32, United-States, <=50K.\n50, Private,114564, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,20, United-States, <=50K.\n22, Private,315476, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n40, State-gov,67874, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1887,45, United-States, >50K.\n25, Private,126110, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n26, Local-gov,102264, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,537222, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n42, Private,113732, Some-college,10, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,625,40, United-States, <=50K.\n38, Self-emp-inc,93225, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n55, Private,43064, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K.\n32, Private,136921, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,388885, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n29, Private,142249, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, State-gov,56841, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n31, Private,156493, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n58, Self-emp-not-inc,159021, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,16, United-States, >50K.\n42, Private,190910, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n18, Private,41879, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,25, United-States, <=50K.\n58, Local-gov,137249, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,33, United-States, <=50K.\n54, Private,236157, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K.\n34, Private,189759, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,239877, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n61, Private,21175, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n48, Local-gov,67229, Masters,14, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n36, Private,236391, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n24, Private,325596, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n40, Private,83411, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,37, United-States, <=50K.\n33, Self-emp-inc,154227, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n37, Private,248010, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K.\n34, Private,198613, Masters,14, Never-married, Exec-managerial, Own-child, White, Male,4650,0,40, United-States, <=50K.\n56, Self-emp-inc,321529, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K.\n28, ?,168524, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Female,0,0,38, United-States, >50K.\n37, Private,203079, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n44, Private,284652, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n64, ?,201368, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K.\n54, Private,59840, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n23, Private,52753, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n34, State-gov,513100, Bachelors,13, Married-spouse-absent, Farming-fishing, Not-in-family, Black, Male,0,0,40, ?, <=50K.\n22, Private,199266, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n33, Private,196385, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K.\n39, Private,163205, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K.\n47, Private,411047, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K.\n79, ?,48574, 7th-8th,4, Widowed, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,209440, HS-grad,9, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,55, United-States, <=50K.\n31, Private,56964, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Private,299197, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n42, Self-emp-inc,240628, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K.\n19, Private,355313, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,132267, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n51, Local-gov,174861, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n28, Self-emp-inc,142443, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n57, Private,26716, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n45, Local-gov,185588, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Private,175029, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n34, Self-emp-inc,34848, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,54, United-States, <=50K.\n45, Private,411273, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n73, Local-gov,143437, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K.\n34, Private,357145, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K.\n31, Private,236861, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n19, Private,53355, 11th,7, Never-married, Sales, Not-in-family, White, Male,0,0,12, United-States, <=50K.\n25, Private,29106, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,50, United-States, <=50K.\n38, Federal-gov,213274, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Female,6497,0,40, United-States, <=50K.\n39, Private,22463, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,180497, Bachelors,13, Never-married, Tech-support, Own-child, Black, Female,0,0,32, United-States, <=50K.\n49, Private,37306, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Federal-gov,137814, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K.\n21, Private,447488, 5th-6th,3, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,38, Mexico, <=50K.\n31, Private,220915, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,42251, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n34, Private,162312, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n25, Private,77698, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n39, Private,282951, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n52, Self-emp-inc,311259, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n63, Local-gov,65479, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,40, United-States, >50K.\n41, Private,277256, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,312088, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,38, United-States, >50K.\n53, Local-gov,169719, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n25, ?,270276, 9th,5, Separated, ?, Not-in-family, White, Female,1055,0,40, United-States, <=50K.\n77, ?,172744, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K.\n18, Private,96869, 12th,8, Never-married, Priv-house-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,237943, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n55, Private,119751, Masters,14, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,50, Thailand, <=50K.\n34, Private,236861, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n80, Self-emp-not-inc,201092, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K.\n34, Private,147215, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,60, United-States, <=50K.\n52, Private,152373, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,5013,0,40, United-States, <=50K.\n42, Private,227968, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,28, Haiti, <=50K.\n26, Private,362617, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Private,103435, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Local-gov,281412, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n55, Self-emp-not-inc,105239, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2057,60, United-States, <=50K.\n19, Private,230165, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n62, Self-emp-not-inc,177493, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,32, United-States, <=50K.\n22, Federal-gov,104443, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n39, ?,110342, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,50, United-States, <=50K.\n35, Private,143385, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,107189, HS-grad,9, Married-civ-spouse, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n47, Private,212944, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K.\n44, State-gov,138634, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,99970, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K.\n35, Private,203717, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n24, Private,313956, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n42, Federal-gov,177937, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K.\n28, Private,193868, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,50, United-States, <=50K.\n21, Private,250939, Some-college,10, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,35, United-States, <=50K.\n62, Federal-gov,57629, Some-college,10, Divorced, Tech-support, Not-in-family, Black, Male,4650,0,40, United-States, <=50K.\n39, Private,281768, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n30, State-gov,260782, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n72, Self-emp-not-inc,243769, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,1429,20, United-States, <=50K.\n50, Private,109937, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K.\n28, Local-gov,134890, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,100293, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Private,132179, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n27, Private,116372, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,255412, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3103,0,40, United-States, >50K.\n61, ?,195789, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,342400, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K.\n21, ?,65481, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n31, Private,169085, 11th,7, Married-civ-spouse, Sales, Wife, White, Female,0,0,20, United-States, <=50K.\n25, Private,177221, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, <=50K.\n58, Private,65325, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n64, Private,118944, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n46, State-gov,149337, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n53, ?,237868, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, >50K.\n19, Private,106183, HS-grad,9, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K.\n42, Private,226388, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,52, United-States, <=50K.\n18, Private,220754, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K.\n58, Self-emp-inc,204021, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,50, United-States, >50K.\n20, Private,347391, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,60, United-States, <=50K.\n35, Federal-gov,413930, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n32, Private,174201, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, >50K.\n23, Private,145917, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n31, Private,241797, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n33, Private,265168, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,55, United-States, <=50K.\n41, Private,171234, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n22, Private,178452, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n46, Private,157857, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n61, Federal-gov,512864, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n30, Private,296462, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n42, Private,171615, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n63, Private,214071, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,172421, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,195488, 10th,6, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n23, Private,316841, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,236267, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,1590,40, United-States, <=50K.\n30, Private,236543, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, El-Salvador, >50K.\n23, Private,318483, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n34, Self-emp-not-inc,163756, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,27828,0,60, United-States, >50K.\n30, Private,238186, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male,0,2057,48, United-States, <=50K.\n39, Private,329980, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,169269, 11th,7, Never-married, Handlers-cleaners, Other-relative, White, Male,0,1721,38, Puerto-Rico, <=50K.\n38, Local-gov,34744, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n26, Private,98114, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n20, Private,109667, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K.\n37, Local-gov,263690, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Male,0,0,40, ?, <=50K.\n33, Private,147430, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n24, Private,224238, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Self-emp-inc,212894, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n51, Self-emp-not-inc,136708, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,3103,0,84, Vietnam, <=50K.\n56, Local-gov,38573, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K.\n22, Private,197200, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n52, Self-emp-not-inc,182796, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n44, Private,184527, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,4934,0,45, United-States, >50K.\n34, Private,145231, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,4064,0,35, United-States, <=50K.\n51, Private,43354, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, >50K.\n20, ?,318865, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, Private,355712, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n37, Private,98776, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n68, Private,257557, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K.\n22, Private,102258, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n56, Self-emp-inc,170287, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,243409, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,55608, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n26, Private,248057, HS-grad,9, Separated, Handlers-cleaners, Own-child, White, Male,0,0,40, Puerto-Rico, <=50K.\n33, Private,95530, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n45, Local-gov,54038, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,42, United-States, <=50K.\n18, Private,161245, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K.\n43, Self-emp-not-inc,388725, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K.\n64, Self-emp-not-inc,71807, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, ?, >50K.\n18, Private,228216, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K.\n20, ?,303121, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,45, United-States, <=50K.\n57, Private,78020, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,249254, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,3674,0,42, United-States, <=50K.\n34, Private,87218, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K.\n19, Private,304299, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Private,196234, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,55, Dominican-Republic, <=50K.\n56, Private,197875, 10th,6, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n36, Self-emp-inc,48063, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K.\n48, Private,253596, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,48, United-States, <=50K.\n29, Private,39257, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,56150, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n31, Private,179415, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K.\n39, Private,252445, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n66, Private,275918, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,10605,0,40, United-States, >50K.\n27, Private,106562, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n39, Private,198654, HS-grad,9, Divorced, Exec-managerial, Unmarried, Black, Female,99999,0,40, United-States, >50K.\n59, Private,107318, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,50, United-States, >50K.\n26, Private,181896, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n31, Private,106014, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n45, ?,319993, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n23, Private,197997, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n36, Local-gov,173542, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,207564, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,12, United-States, >50K.\n32, Private,224462, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,84, United-States, >50K.\n37, Private,123361, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,50, United-States, >50K.\n33, Private,90409, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n50, Self-emp-not-inc,165001, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,80, United-States, >50K.\n32, Federal-gov,149573, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n35, Private,249456, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n37, Private,149898, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,292985, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n57, Private,50223, Some-college,10, Divorced, Handlers-cleaners, Other-relative, White, Male,0,0,25, United-States, <=50K.\n29, Local-gov,400074, Some-college,10, Married-civ-spouse, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n55, Private,197399, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n43, Self-emp-inc,209547, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, >50K.\n43, Private,52433, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K.\n45, Self-emp-not-inc,355978, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n33, Self-emp-not-inc,48214, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,8, United-States, <=50K.\n26, Private,190873, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,40, Germany, <=50K.\n23, Private,278390, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, <=50K.\n41, Private,203217, 7th-8th,4, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n24, Private,279175, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,194590, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K.\n34, Self-emp-not-inc,198813, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K.\n40, Private,187294, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,302903, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,1485,40, United-States, <=50K.\n24, Private,154835, HS-grad,9, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,40, South, <=50K.\n73, ?,73402, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n23, Private,100345, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,15, United-States, <=50K.\n43, Self-emp-not-inc,126320, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K.\n26, Private,142226, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n58, Self-emp-not-inc,112076, Doctorate,16, Married-AF-spouse, Exec-managerial, Wife, White, Female,0,1485,35, United-States, >50K.\n52, Private,225339, HS-grad,9, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n29, Private,211208, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, >50K.\n47, Private,200808, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, Columbia, <=50K.\n49, Private,220618, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,37, United-States, <=50K.\n40, Private,210493, 11th,7, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n62, Self-emp-not-inc,369734, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n49, Private,27898, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,55, United-States, >50K.\n50, Private,138193, Bachelors,13, Divorced, Prof-specialty, Other-relative, White, Female,0,0,50, United-States, >50K.\n31, Private,224234, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K.\n48, Local-gov,188741, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n24, Private,183772, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K.\n41, ?,155041, HS-grad,9, Never-married, ?, Own-child, White, Female,3418,0,40, United-States, <=50K.\n37, Private,79586, HS-grad,9, Separated, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,60, United-States, <=50K.\n45, Private,355781, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,45, Japan, >50K.\n63, ?,156158, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K.\n36, Private,116358, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,45, India, <=50K.\n45, Private,59287, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,138868, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Private,185885, Assoc-acdm,12, Never-married, Tech-support, Other-relative, White, Female,0,0,20, United-States, <=50K.\n17, Private,40299, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n27, Private,500068, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,36, ?, <=50K.\n43, Private,51494, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,65, United-States, <=50K.\n35, Private,179481, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,55, United-States, <=50K.\n38, Private,365907, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Private,284343, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,204862, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n38, Private,272476, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,24, United-States, >50K.\n36, Private,175130, 11th,7, Divorced, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K.\n33, Private,118941, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n19, Private,164339, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,1055,0,70, United-States, <=50K.\n22, ?,213291, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K.\n42, Federal-gov,55457, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K.\n50, Private,280292, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,446894, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K.\n37, State-gov,67083, Some-college,10, Married-civ-spouse, Prof-specialty, Other-relative, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K.\n54, Self-emp-inc,159219, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K.\n52, Self-emp-inc,168539, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n65, Private,88145, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,0,40, ?, <=50K.\n33, Private,150309, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,122999, Some-college,10, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K.\n24, Private,302195, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n26, Private,210982, Assoc-voc,11, Separated, Adm-clerical, Unmarried, Black, Female,114,0,40, United-States, <=50K.\n39, Private,177140, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K.\n59, Private,113838, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,97165, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Private,104301, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,45, United-States, <=50K.\n23, ?,192028, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K.\n64, Self-emp-inc,115931, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n21, Private,147280, HS-grad,9, Never-married, Other-service, Own-child, Other, Male,0,0,20, United-States, <=50K.\n32, Private,185433, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, >50K.\n26, Private,599057, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,37, United-States, <=50K.\n19, ?,50626, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,20, United-States, <=50K.\n62, Self-emp-not-inc,71467, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,183977, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K.\n75, ?,26586, 10th,6, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,5, United-States, <=50K.\n45, Self-emp-not-inc,196858, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n31, Private,160594, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K.\n32, Private,65278, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,2580,0,40, United-States, <=50K.\n24, Private,102258, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,196947, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,233150, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n18, Private,42857, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n44, Private,118059, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n40, Private,169262, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3411,0,50, United-States, <=50K.\n27, Private,95108, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,161092, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n21, Private,345253, Some-college,10, Never-married, Adm-clerical, Not-in-family, Other, Male,2174,0,40, United-States, <=50K.\n37, State-gov,111275, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n65, Self-emp-not-inc,178878, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, <=50K.\n43, Federal-gov,157237, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n45, Private,155664, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n24, State-gov,322658, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,208503, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n19, Local-gov,223326, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,1721,35, United-States, <=50K.\n37, Private,20308, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K.\n24, Private,124751, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n34, Private,113364, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Germany, <=50K.\n50, State-gov,196900, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,39, United-States, <=50K.\n36, Private,168170, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Puerto-Rico, <=50K.\n39, Private,205338, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n44, Self-emp-not-inc,98806, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K.\n45, State-gov,226452, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n32, State-gov,479179, 11th,7, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Federal-gov,471990, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K.\n50, Private,44728, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,33117, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,264876, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, ?,47235, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n28, State-gov,293628, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,10, ?, <=50K.\n28, Private,193122, HS-grad,9, Divorced, Sales, Other-relative, White, Male,0,0,50, United-States, <=50K.\n39, Federal-gov,149347, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Poland, >50K.\n21, Private,129172, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,2907,0,40, United-States, <=50K.\n73, Self-emp-not-inc,151255, Some-college,10, Widowed, Farming-fishing, Not-in-family, White, Female,0,0,75, United-States, <=50K.\n39, Private,98886, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,4508,0,40, Mexico, <=50K.\n25, Private,238673, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,137991, Some-college,10, Married-AF-spouse, Sales, Wife, White, Female,0,0,20, United-States, <=50K.\n51, Private,85942, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n39, Private,85783, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,28, United-States, <=50K.\n31, Private,174789, Bachelors,13, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n21, Private,457162, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,17, United-States, <=50K.\n46, Private,176026, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,27828,0,50, United-States, >50K.\n73, Private,88594, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n41, Private,311101, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,273989, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Private,370242, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n24, Private,194630, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n20, Private,313817, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,195843, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Private,203160, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,28, United-States, <=50K.\n33, Private,175856, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n33, Private,75435, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n36, State-gov,291676, 9th,5, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n55, Private,192869, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,36, United-States, <=50K.\n19, Private,124464, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Private,98776, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n34, Private,107960, 5th-6th,3, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K.\n62, State-gov,312286, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n33, Self-emp-not-inc,48520, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,224541, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,55, Mexico, <=50K.\n36, Local-gov,237713, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,309990, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,33, United-States, <=50K.\n39, Self-emp-not-inc,37019, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n38, ?,48976, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,1887,10, United-States, >50K.\n18, Private,170183, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n61, Private,142988, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K.\n20, Federal-gov,163205, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,36, United-States, <=50K.\n35, Self-emp-not-inc,455379, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K.\n27, Private,104423, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n66, Private,104936, 10th,6, Widowed, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K.\n21, Private,542610, HS-grad,9, Never-married, Transport-moving, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n20, Private,208117, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,18, United-States, <=50K.\n34, Private,105141, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n63, Private,156120, 5th-6th,3, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,50, ?, <=50K.\n20, ?,38455, HS-grad,9, Never-married, ?, Unmarried, White, Male,0,0,40, United-States, <=50K.\n31, Private,213339, HS-grad,9, Separated, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,177989, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2051,60, United-States, <=50K.\n64, State-gov,107732, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0,0,45, Columbia, <=50K.\n32, Private,312403, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Local-gov,176992, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n36, Self-emp-not-inc,84294, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K.\n22, Private,143062, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,12, United-States, <=50K.\n53, Local-gov,139671, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n50, Private,116814, HS-grad,9, Widowed, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n36, Private,37778, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,240900, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,202652, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n38, Private,52187, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K.\n28, Private,349751, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,2174,0,50, United-States, <=50K.\n24, Local-gov,238384, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,37, United-States, <=50K.\n60, Private,209844, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n54, Private,333301, 10th,6, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n27, Self-emp-inc,214974, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n30, Private,113453, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, <=50K.\n54, Private,162238, HS-grad,9, Widowed, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n44, Private,98779, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K.\n52, Private,165001, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n18, Private,78528, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n55, Private,353881, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,251396, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n37, Private,178100, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n22, Private,416165, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, Private,177536, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, England, >50K.\n38, Private,203717, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n48, Private,107231, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,106448, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,196816, Assoc-voc,11, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,50, United-States, <=50K.\n37, Self-emp-not-inc,191342, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,60, Philippines, >50K.\n18, Private,170194, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K.\n26, Private,113587, 10th,6, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,35, United-States, <=50K.\n48, Self-emp-inc,72425, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n51, Private,217480, Some-college,10, Separated, Adm-clerical, Not-in-family, Black, Male,8614,0,40, United-States, >50K.\n52, Private,120914, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n32, State-gov,33945, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K.\n39, Self-emp-not-inc,199753, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K.\n51, Private,144284, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n54, Private,53833, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n21, Private,151158, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n43, Private,125577, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n32, Private,242323, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n31, State-gov,195181, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n73, ?,145748, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K.\n26, Private,341672, Some-college,10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,0,0,60, India, <=50K.\n35, Private,116369, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n73, Private,113446, 5th-6th,3, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,54, United-States, >50K.\n25, Self-emp-not-inc,121285, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n58, Self-emp-not-inc,25124, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2377,65, United-States, <=50K.\n32, Private,182274, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,37, United-States, <=50K.\n28, Private,103548, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,38434, Masters,14, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n53, Self-emp-not-inc,317313, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K.\n49, Private,177543, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K.\n55, Private,139834, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,118478, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298,0,50, United-States, >50K.\n28, Self-emp-not-inc,147951, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K.\n44, Private,201734, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n41, Private,198196, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n26, Private,141876, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,3103,0,45, United-States, >50K.\n23, Private,325179, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n37, Self-emp-not-inc,143774, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, Germany, >50K.\n23, Private,152328, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,13550,0,50, United-States, >50K.\n33, Private,479600, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n44, Private,180599, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, >50K.\n21, Private,448026, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,2907,0,30, United-States, <=50K.\n36, Private,300333, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Cuba, <=50K.\n44, Local-gov,184105, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5013,0,40, United-States, <=50K.\n23, Private,202084, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n26, Private,29515, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, Private,247328, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n31, Private,188246, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n50, Local-gov,105788, HS-grad,9, Separated, Exec-managerial, Unmarried, Black, Female,6497,0,35, United-States, <=50K.\n18, Self-emp-inc,352640, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n49, Private,132576, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n59, Private,128829, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,93140, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,28, United-States, <=50K.\n50, Self-emp-inc,155965, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n51, Self-emp-inc,335902, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,55, United-States, <=50K.\n22, Private,158522, Some-college,10, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,35, United-States, <=50K.\n54, Private,174806, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K.\n37, Private,32207, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,43607, Bachelors,13, Widowed, Adm-clerical, Unmarried, White, Male,0,0,60, United-States, <=50K.\n67, State-gov,168224, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n43, ?,180318, 11th,7, Separated, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n21, Private,311376, Some-college,10, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K.\n30, Private,101562, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Local-gov,267859, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, Cuba, <=50K.\n36, Private,86143, Assoc-voc,11, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n33, Local-gov,217304, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n37, Private,410034, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, <=50K.\n29, Private,293073, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,48, United-States, >50K.\n18, ?,39493, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n26, Private,247425, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,40, Haiti, <=50K.\n51, Private,128338, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,189344, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n18, Private,366154, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n52, Private,163051, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1628,40, United-States, <=50K.\n31, Private,437200, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K.\n45, Private,323798, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,53, United-States, >50K.\n38, Private,182570, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, <=50K.\n21, Private,200318, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n33, Private,48520, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Private,130007, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n31, Private,166248, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Private,203554, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K.\n64, ?,192715, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,1672,10, United-States, <=50K.\n33, Self-emp-inc,291333, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K.\n49, Self-emp-not-inc,39140, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n41, Private,266439, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Self-emp-not-inc,126840, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Private,166419, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K.\n42, Private,287129, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n24, Private,206827, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K.\n42, Private,173888, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,52, United-States, <=50K.\n41, State-gov,253250, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K.\n35, Private,337239, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n71, ?,113445, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n54, Federal-gov,201127, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, >50K.\n24, Private,403107, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n59, ?,179078, HS-grad,9, Widowed, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n30, ?,126402, 11th,7, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n57, Federal-gov,223892, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n58, State-gov,191318, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K.\n32, Private,394708, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n22, Private,119474, HS-grad,9, Never-married, Sales, Own-child, White, Female,1055,0,25, United-States, <=50K.\n20, Private,419984, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K.\n60, ?,164730, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,190678, HS-grad,9, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, ?, <=50K.\n26, Local-gov,197897, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, England, <=50K.\n33, Private,286675, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,191986, 10th,6, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Self-emp-not-inc,90525, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,15024,0,20, United-States, >50K.\n32, Private,56150, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Local-gov,248327, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K.\n18, Private,90860, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K.\n35, Federal-gov,104858, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n22, ?,228686, Some-college,10, Divorced, ?, Own-child, White, Male,0,1602,25, United-States, <=50K.\n46, Private,196707, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n37, Private,29430, HS-grad,9, Divorced, Sales, Unmarried, White, Male,0,0,45, United-States, <=50K.\n45, Private,54038, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1902,20, United-States, >50K.\n63, Private,281025, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,32, United-States, <=50K.\n53, Private,258832, HS-grad,9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,10, Philippines, <=50K.\n24, Private,131220, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n65, ?,190454, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,29, United-States, <=50K.\n43, Private,315971, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, ?, >50K.\n47, Private,265097, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,185057, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n27, Private,169557, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,6849,0,40, United-States, <=50K.\n35, Self-emp-inc,333636, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,75, United-States, <=50K.\n19, Private,181652, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,24, United-States, <=50K.\n47, Private,34307, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n25, Federal-gov,198813, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,0,1590,40, United-States, <=50K.\n59, Local-gov,240030, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,226089, 10th,6, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n17, Private,190941, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n21, Private,160261, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,2463,0,50, England, <=50K.\n31, Private,208458, HS-grad,9, Divorced, Sales, Unmarried, Other, Female,0,0,40, Mexico, <=50K.\n49, Private,112761, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Local-gov,67716, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K.\n60, Self-emp-not-inc,121076, Doctorate,16, Divorced, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n33, Self-emp-not-inc,182556, 12th,8, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,231348, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,55395, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K.\n34, Private,344073, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5013,0,40, United-States, <=50K.\n38, Federal-gov,318912, Assoc-voc,11, Divorced, Adm-clerical, Own-child, Black, Male,0,0,52, United-States, <=50K.\n58, Self-emp-not-inc,237546, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K.\n20, Private,346341, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, ?, <=50K.\n52, Private,305090, Some-college,10, Separated, Sales, Other-relative, White, Female,0,0,55, United-States, <=50K.\n22, Local-gov,198478, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,321435, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, >50K.\n39, Private,259716, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n41, Private,191547, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, United-States, >50K.\n37, ?,171482, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K.\n56, Private,225927, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,2580,0,40, United-States, <=50K.\n21, Private,256504, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,168526, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K.\n45, Private,44489, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n44, Local-gov,159449, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,80, United-States, >50K.\n54, Private,387540, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n24, Private,314819, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n40, Private,34722, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n43, State-gov,125831, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,99999,0,60, United-States, >50K.\n20, ?,239805, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,16, United-States, <=50K.\n41, Self-emp-not-inc,264663, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,294121, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Private,83912, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,25, Mexico, <=50K.\n26, Private,241626, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, State-gov,137815, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n62, Self-emp-inc,153891, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137,0,40, United-States, <=50K.\n24, Private,83774, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,2885,0,45, United-States, <=50K.\n58, Private,199067, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, >50K.\n44, Self-emp-inc,57233, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,211517, 12th,8, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Self-emp-inc,132879, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n65, Self-emp-not-inc,72776, 7th-8th,4, Never-married, Farming-fishing, Not-in-family, White, Male,2964,0,40, United-States, <=50K.\n33, Private,54318, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n34, ?,143582, HS-grad,9, Married-spouse-absent, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,37, Taiwan, <=50K.\n56, Self-emp-not-inc,174564, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n35, Private,179579, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,48, United-States, >50K.\n33, Private,187618, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,1741,40, United-States, <=50K.\n35, Private,186819, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, <=50K.\n47, Self-emp-not-inc,60087, Some-college,10, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n35, Self-emp-not-inc,28987, 9th,5, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,96, United-States, <=50K.\n56, Private,187355, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, Self-emp-inc,218555, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n53, Self-emp-inc,94214, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7298,0,50, Thailand, >50K.\n42, Private,204729, Assoc-voc,11, Separated, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K.\n20, ?,281668, Some-college,10, Never-married, ?, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n24, Private,236696, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, Taiwan, <=50K.\n33, Private,179747, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,187322, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n38, State-gov,116975, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,50, United-States, >50K.\n32, Private,205950, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Self-emp-not-inc,190968, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K.\n32, Private,160458, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Local-gov,190911, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,85382, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K.\n41, Local-gov,129793, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n37, Local-gov,270181, Assoc-acdm,12, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,50, United-States, <=50K.\n23, Private,243723, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n40, Private,168113, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,652784, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,315984, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Private,311311, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,111336, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,28, United-States, <=50K.\n30, Self-emp-not-inc,100252, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,60, South, <=50K.\n41, State-gov,186990, Prof-school,15, Widowed, Prof-specialty, Not-in-family, Other, Female,0,0,52, United-States, >50K.\n37, State-gov,241633, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,45, United-States, >50K.\n49, Federal-gov,252616, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n41, Federal-gov,46366, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,50, United-States, >50K.\n52, Local-gov,266138, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n23, Private,32732, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n34, Private,361978, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Female,1471,0,40, United-States, <=50K.\n25, State-gov,77661, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,2444,40, United-States, >50K.\n44, Self-emp-inc,60087, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n31, Local-gov,197550, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Male,0,0,33, United-States, <=50K.\n53, Private,170701, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n62, Private,159822, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,211494, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1876,55, United-States, <=50K.\n30, Federal-gov,340899, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, State-gov,224752, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n36, Private,102568, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K.\n32, Private,220690, 11th,7, Divorced, Other-service, Not-in-family, White, Male,0,0,33, United-States, <=50K.\n22, Private,303170, Some-college,10, Never-married, Priv-house-serv, Own-child, White, Female,0,0,28, United-States, <=50K.\n17, ?,143331, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,192162, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Private,201635, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, ?,55263, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n56, State-gov,133728, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K.\n45, Private,347025, 7th-8th,4, Widowed, Other-service, Unmarried, White, Female,0,0,21, United-States, <=50K.\n23, Private,110998, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n31, Private,122347, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,127875, 11th,7, Never-married, Sales, Unmarried, White, Female,0,0,8, United-States, <=50K.\n42, Private,167534, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013,0,35, United-States, <=50K.\n27, State-gov,152560, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n37, Private,265144, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n31, Private,302679, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n33, Private,290763, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n64, Private,86837, Preschool,1, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n32, Private,147118, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n62, ?,103575, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,5178,0,40, United-States, >50K.\n37, Private,169469, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,189334, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,139571, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,4064,0,40, United-States, <=50K.\n36, Private,111545, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n67, Private,72776, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,10566,0,15, United-States, <=50K.\n54, Private,307973, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n45, Local-gov,211666, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K.\n30, Private,143766, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, State-gov,112812, HS-grad,9, Married-civ-spouse, Protective-serv, Other-relative, White, Female,0,0,40, United-States, <=50K.\n57, Private,43290, 10th,6, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K.\n57, Private,111385, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Self-emp-not-inc,145744, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Local-gov,126754, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,40, Italy, <=50K.\n46, State-gov,54260, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,10, United-States, >50K.\n41, State-gov,34895, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,43, United-States, <=50K.\n44, Private,166740, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K.\n25, Private,143062, Bachelors,13, Never-married, Other-service, Own-child, White, Female,2463,0,30, United-States, <=50K.\n34, Local-gov,191957, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,45, United-States, >50K.\n24, Private,109456, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K.\n32, Private,198183, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n27, Local-gov,157449, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K.\n67, Private,53874, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, Cuba, <=50K.\n36, Private,191754, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,320071, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,1408,48, United-States, <=50K.\n24, Private,164574, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,185870, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K.\n44, State-gov,165745, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n23, Self-emp-not-inc,40323, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,199378, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,90, United-States, <=50K.\n31, Private,289889, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Local-gov,152200, Some-college,10, Married-civ-spouse, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K.\n61, Private,198231, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n71, Self-emp-not-inc,28865, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,15, United-States, <=50K.\n42, Private,26915, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n27, ?,108926, Some-college,10, Married-civ-spouse, ?, Husband, Black, Male,0,0,5, United-States, <=50K.\n21, State-gov,204034, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n21, Private,243368, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,25, Mexico, <=50K.\n28, Local-gov,191088, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,2354,0,60, United-States, <=50K.\n27, Local-gov,194515, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, Black, Female,0,0,37, United-States, <=50K.\n32, Private,28984, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,2001,25, United-States, <=50K.\n47, Private,125892, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,37932, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, England, <=50K.\n56, Private,249751, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,191948, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K.\n30, Private,97306, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Private,176178, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n28, Private,142764, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,45, United-States, >50K.\n50, Private,148431, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n66, State-gov,148380, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,1424,0,10, United-States, <=50K.\n38, Private,314890, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,46, United-States, <=50K.\n62, Private,177493, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K.\n36, Federal-gov,327435, Masters,14, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, >50K.\n47, Private,275967, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n25, Private,176520, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,186463, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,50380, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n70, Self-emp-not-inc,323987, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,8, United-States, <=50K.\n52, Private,192445, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n70, Private,142851, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,18, United-States, <=50K.\n19, State-gov,42750, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, Private,199011, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,3, United-States, <=50K.\n37, Private,98644, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,16, ?, >50K.\n37, Private,173963, 11th,7, Separated, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n45, State-gov,284763, Some-college,10, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n29, Private,108775, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n56, Self-emp-not-inc,233312, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, Poland, <=50K.\n50, Private,197826, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,123007, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,2001,30, United-States, <=50K.\n26, Private,264012, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,214247, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,60, United-States, >50K.\n21, Private,200121, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n48, Self-emp-not-inc,138069, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2042,50, United-States, <=50K.\n22, Private,33551, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, State-gov,89083, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K.\n47, Private,369438, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,30, United-States, >50K.\n61, Private,93997, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K.\n47, Local-gov,169699, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,115429, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K.\n46, State-gov,96652, Assoc-voc,11, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,103759, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K.\n41, Private,54422, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n33, Local-gov,107215, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,194630, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n27, Private,102142, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Federal-gov,134638, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,39, United-States, <=50K.\n56, Private,46920, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Federal-gov,207973, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, Canada, <=50K.\n24, Private,208946, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n73, Self-emp-not-inc,252431, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,1, United-States, <=50K.\n36, Private,251730, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n31, Private,301251, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n50, ?,137632, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,45, Haiti, <=50K.\n36, Private,197274, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n37, Private,106043, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K.\n26, Private,195636, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n20, Private,237956, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, Cuba, <=50K.\n58, Private,31532, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n45, State-gov,276157, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n33, ?,207668, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,142921, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Private,217039, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K.\n19, Local-gov,259169, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K.\n54, Private,409173, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,50, Puerto-Rico, >50K.\n31, State-gov,73161, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1740,40, United-States, <=50K.\n27, Private,241431, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n36, Private,151764, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,40, United-States, >50K.\n47, Federal-gov,131726, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,1876,40, United-States, <=50K.\n35, Private,334291, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n42, Private,67243, 1st-4th,2, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, Portugal, >50K.\n45, Private,370261, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n70, Private,573446, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,1455,0,40, United-States, <=50K.\n27, Local-gov,189775, 12th,8, Never-married, Other-service, Own-child, Black, Female,0,0,44, United-States, <=50K.\n36, Private,312206, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n23, Private,86939, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,221757, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n45, Self-emp-not-inc,213140, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,45, United-States, >50K.\n24, Private,308673, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n90, Private,149069, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1825,50, United-States, >50K.\n50, Private,69345, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1902,44, United-States, >50K.\n37, Private,112158, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,99, United-States, >50K.\n31, Private,386299, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n17, Private,61838, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,290286, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,38, United-States, <=50K.\n41, Private,143069, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n50, Self-emp-inc,145714, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n45, Self-emp-not-inc,285570, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, <=50K.\n54, Self-emp-not-inc,399705, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n54, Private,186224, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,172918, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,198270, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,38, United-States, <=50K.\n43, Private,307767, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n19, ?,208630, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n30, Private,169002, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n31, ?,186369, 9th,5, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n42, Private,99203, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K.\n48, Private,197836, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n56, Private,140136, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,35, United-States, >50K.\n21, Local-gov,402230, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,36, United-States, <=50K.\n45, Private,167159, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,116409, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n38, Local-gov,105161, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n34, Private,263908, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n29, Private,189565, HS-grad,9, Divorced, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Private,224059, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n79, ?,27457, Masters,14, Never-married, ?, Not-in-family, White, Female,0,0,23, United-States, <=50K.\n35, Private,240988, Assoc-acdm,12, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n39, Self-emp-not-inc,41017, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n73, Self-emp-not-inc,214498, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,12, United-States, <=50K.\n57, Private,186361, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Self-emp-inc,165799, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n60, Private,266983, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,32, United-States, <=50K.\n19, ?,165416, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K.\n54, Private,226497, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Self-emp-not-inc,99516, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,177287, Some-college,10, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K.\n57, Self-emp-not-inc,27385, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K.\n27, Self-emp-not-inc,147452, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,48, United-States, <=50K.\n25, Private,144334, HS-grad,9, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, United-States, <=50K.\n38, Private,217926, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n48, Private,153312, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, >50K.\n24, Private,126822, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n67, Self-emp-inc,51415, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,171886, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K.\n38, Private,216319, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, >50K.\n54, Private,279337, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Self-emp-not-inc,115085, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n57, Private,453233, 10th,6, Separated, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n34, Federal-gov,400943, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n34, Private,226883, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,49, United-States, <=50K.\n80, Private,138050, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n40, Private,204585, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K.\n19, Local-gov,220558, 11th,7, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,35, United-States, <=50K.\n35, Private,198841, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, <=50K.\n21, Private,67244, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n59, Local-gov,75785, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,85423, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n41, Self-emp-not-inc,134724, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,3103,0,40, United-States, >50K.\n59, Private,109567, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n21, ?,132053, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K.\n52, Private,157413, 1st-4th,2, Divorced, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n48, Private,238567, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K.\n24, Private,153133, 12th,8, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n49, Private,186256, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n19, Private,260265, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K.\n50, Private,131819, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,141584, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n25, Private,245121, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K.\n66, Private,22502, 7th-8th,4, Divorced, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n30, Private,23778, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,4416,0,40, United-States, <=50K.\n49, Private,380922, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,80, United-States, >50K.\n40, Self-emp-not-inc,173651, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n38, Private,191137, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,217006, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, State-gov,22211, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,37, United-States, >50K.\n23, Local-gov,57711, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Germany, <=50K.\n60, Self-emp-not-inc,123190, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,67, United-States, >50K.\n44, Private,110028, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,27828,0,60, United-States, >50K.\n53, Self-emp-not-inc,174102, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,25236,0,60, United-States, >50K.\n66, Self-emp-not-inc,183249, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, >50K.\n18, ?,240183, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,45, United-States, <=50K.\n44, Local-gov,49665, Assoc-voc,11, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n38, Private,210438, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K.\n30, Private,53373, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,295706, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,3674,0,42, United-States, <=50K.\n38, Local-gov,273457, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n31, Federal-gov,165949, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n26, Private,142152, 11th,7, Never-married, Transport-moving, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n23, Private,189203, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n58, State-gov,179089, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,53956, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137,0,40, United-States, <=50K.\n59, Self-emp-inc,77816, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K.\n36, Local-gov,74593, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,196158, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,8614,0,52, United-States, >50K.\n17, Private,28544, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n59, Local-gov,662460, 10th,6, Widowed, Prof-specialty, Unmarried, White, Female,0,0,15, United-States, <=50K.\n22, Private,152328, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,120277, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n36, Private,180278, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n19, ?,426589, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n49, Private,111558, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1977,25, United-States, >50K.\n18, ?,243203, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, Puerto-Rico, <=50K.\n38, Self-emp-not-inc,195686, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Male,0,0,25, United-States, <=50K.\n48, Private,226696, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n53, ?,118058, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,172237, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,46, United-States, <=50K.\n34, Self-emp-not-inc,114074, Assoc-voc,11, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n41, Federal-gov,171589, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, >50K.\n20, ?,184271, Assoc-acdm,12, Never-married, ?, Own-child, White, Female,594,0,20, United-States, <=50K.\n58, Local-gov,218724, HS-grad,9, Widowed, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Private,134190, 10th,6, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n45, Local-gov,181964, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,47, United-States, >50K.\n37, Private,385330, 7th-8th,4, Separated, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n48, Private,242406, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Dominican-Republic, <=50K.\n40, Federal-gov,107584, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,127892, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n33, Private,160261, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,10, United-States, <=50K.\n51, ?,285200, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2105,0,24, United-States, <=50K.\n48, Private,153254, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,48, United-States, <=50K.\n36, Self-emp-not-inc,294672, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K.\n31, Private,145924, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,35, United-States, <=50K.\n41, Self-emp-not-inc,280005, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n29, Federal-gov,66893, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,47039, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n53, Federal-gov,36186, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K.\n37, Private,159383, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,192010, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K.\n27, Private,216479, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n57, ?,274680, Preschool,1, Separated, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,211345, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Nicaragua, <=50K.\n25, Private,203561, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,56, United-States, >50K.\n63, Private,170815, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, <=50K.\n65, Self-emp-not-inc,200565, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,18, United-States, <=50K.\n77, Private,89655, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,234195, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,98466, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n67, Private,191437, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,77792, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, ?, <=50K.\n24, Local-gov,134181, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n53, State-gov,195690, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K.\n37, Self-emp-inc,94869, Masters,14, Divorced, Prof-specialty, Not-in-family, Black, Male,4787,0,40, United-States, >50K.\n44, State-gov,267464, Some-college,10, Separated, Tech-support, Own-child, Black, Female,0,0,40, United-States, <=50K.\n25, ?,257006, 11th,7, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n17, Private,81010, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n47, Private,54260, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,60, United-States, >50K.\n62, Federal-gov,171995, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,2829,0,40, United-States, <=50K.\n39, Private,245665, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n18, ?,35855, 11th,7, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n32, State-gov,189838, Some-college,10, Divorced, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K.\n25, Private,629900, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, >50K.\n30, Private,84119, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K.\n47, Private,47343, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n40, Private,103614, 10th,6, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,303092, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n41, State-gov,124520, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,220857, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K.\n32, State-gov,247481, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K.\n54, Private,283281, 7th-8th,4, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,50, United-States, <=50K.\n31, Private,25610, Preschool,1, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,25, United-States, <=50K.\n42, Private,13769, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K.\n23, Private,283969, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Mexico, <=50K.\n18, Private,185522, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,33, United-States, <=50K.\n65, ?,173309, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,401,0,12, United-States, <=50K.\n37, Private,144005, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n53, State-gov,205949, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n50, Private,158948, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,84, United-States, <=50K.\n64, Private,240357, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K.\n55, Private,243929, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n63, Private,201700, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K.\n53, Private,208402, Some-college,10, Divorced, Adm-clerical, Unmarried, Other, Female,4865,0,45, Mexico, <=50K.\n18, Private,120599, 11th,7, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K.\n33, Private,231826, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n62, Private,499971, 11th,7, Widowed, Handlers-cleaners, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n56, Private,227972, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,48, Germany, >50K.\n58, State-gov,299680, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,43, United-States, >50K.\n33, Private,231822, 10th,6, Separated, Sales, Unmarried, White, Female,0,0,38, United-States, <=50K.\n58, Private,185459, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n44, Private,90582, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n81, Private,184615, 7th-8th,4, Widowed, Machine-op-inspct, Unmarried, White, Female,1264,0,40, United-States, <=50K.\n28, Private,173858, HS-grad,9, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,35, China, <=50K.\n28, Private,132326, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n43, Private,315037, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n51, Private,175122, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n23, Private,239577, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,52, United-States, <=50K.\n48, Self-emp-not-inc,96975, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K.\n45, Self-emp-inc,61885, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,48, United-States, >50K.\n48, Private,185870, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n37, State-gov,142282, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n34, Private,334744, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K.\n63, Self-emp-not-inc,201600, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,60, United-States, >50K.\n38, Private,34378, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,180271, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,123833, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,213304, 5th-6th,3, Separated, Other-service, Unmarried, White, Female,0,0,40, El-Salvador, <=50K.\n30, Private,296538, 9th,5, Divorced, Farming-fishing, Own-child, White, Male,0,0,30, United-States, <=50K.\n35, Private,391937, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Self-emp-inc,175339, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,40, United-States, >50K.\n26, Private,60726, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Male,6849,0,50, United-States, <=50K.\n39, Private,191103, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,54, United-States, <=50K.\n34, State-gov,32174, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n55, Private,176219, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K.\n33, Self-emp-not-inc,294434, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,76, United-States, >50K.\n17, Private,310885, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,0,36, Mexico, <=50K.\n27, Private,171133, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K.\n53, Private,162951, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,41, United-States, >50K.\n43, Private,223934, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Private,23940, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n52, Private,88073, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,50, United-States, <=50K.\n60, Private,57371, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Self-emp-not-inc,73684, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,65, United-States, >50K.\n39, Private,107164, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,120126, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,40, United-States, >50K.\n41, Self-emp-not-inc,54611, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,50, United-States, >50K.\n61, Private,131117, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K.\n71, Federal-gov,101676, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,403965, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,35, United-States, <=50K.\n33, Private,177083, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Canada, <=50K.\n52, Private,173987, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n40, Private,352080, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K.\n26, ?,102400, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Local-gov,378426, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,99, Columbia, <=50K.\n42, Private,210857, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K.\n63, Private,165775, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,21, United-States, <=50K.\n53, Private,295896, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n34, State-gov,238944, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,149640, Some-college,10, Separated, Craft-repair, Unmarried, White, Male,1506,0,40, Honduras, <=50K.\n67, ?,106175, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, >50K.\n49, Private,191320, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n28, Local-gov,134771, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,55, United-States, <=50K.\n51, ?,295538, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,120277, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K.\n27, Private,82393, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K.\n49, Private,146121, 5th-6th,3, Married-spouse-absent, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0,0,20, Vietnam, <=50K.\n34, Private,162544, 7th-8th,4, Never-married, Priv-house-serv, Own-child, White, Female,0,0,30, United-States, <=50K.\n27, Self-emp-not-inc,216178, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K.\n38, Self-emp-not-inc,248694, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K.\n24, Private,219140, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,360401, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,1719,48, United-States, <=50K.\n39, Private,319962, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K.\n50, Private,115284, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,29702, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K.\n63, ?,107085, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,7, United-States, <=50K.\n44, State-gov,204361, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n58, Private,218312, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,182332, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n23, Private,127876, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n20, Private,316702, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,292549, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n21, Private,203178, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n63, Private,180099, 10th,6, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n38, Private,154541, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, United-States, >50K.\n27, Private,95465, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n41, Private,171839, Masters,14, Married-civ-spouse, Other-service, Wife, White, Female,0,0,50, United-States, >50K.\n43, Private,115562, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K.\n39, State-gov,42478, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, ?,117054, 5th-6th,3, Divorced, ?, Not-in-family, White, Male,0,0,99, United-States, <=50K.\n56, Self-emp-inc,124137, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,45, United-States, >50K.\n44, State-gov,107503, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,60, United-States, <=50K.\n24, Private,70261, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n49, Private,367037, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,4650,0,40, United-States, <=50K.\n38, Private,258339, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,70, Iran, <=50K.\n36, Self-emp-not-inc,269509, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n27, State-gov,301302, Doctorate,16, Married-spouse-absent, Tech-support, Not-in-family, White, Male,0,0,20, ?, <=50K.\n50, Private,369367, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n46, Private,224582, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,52, United-States, <=50K.\n41, Local-gov,343591, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,10, United-States, <=50K.\n45, ?,53540, 11th,7, Divorced, ?, Unmarried, Black, Female,0,0,16, United-States, <=50K.\n46, Private,153536, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n65, ?,91262, HS-grad,9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,48, United-States, >50K.\n44, Private,238574, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n35, Private,247558, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n44, Self-emp-not-inc,188278, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,45, United-States, <=50K.\n51, Private,194995, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n74, Local-gov,168782, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n32, Private,287229, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n22, Private,202153, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K.\n58, ?,230586, 10th,6, Widowed, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n47, Private,115358, HS-grad,9, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n32, Private,78283, 12th,8, Never-married, Transport-moving, Unmarried, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n64, Federal-gov,168854, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n44, Private,222011, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,25, United-States, >50K.\n59, Private,157749, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Male,0,3004,40, United-States, >50K.\n34, Private,203814, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K.\n54, Private,74660, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, Canada, >50K.\n33, Private,292603, Some-college,10, Divorced, Other-service, Not-in-family, Black, Female,0,0,30, Dominican-Republic, <=50K.\n44, Private,172364, 1st-4th,2, Married-civ-spouse, Transport-moving, Wife, White, Female,3908,0,60, United-States, <=50K.\n31, Private,305619, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n30, State-gov,157990, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,120243, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,17, United-States, <=50K.\n56, Self-emp-not-inc,296991, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, England, >50K.\n24, Private,174845, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,180475, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n51, Private,152652, 11th,7, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,172941, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Male,0,0,20, United-States, <=50K.\n39, Federal-gov,450770, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,166003, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n22, ?,204935, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, State-gov,60949, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n51, Local-gov,181132, Masters,14, Separated, Prof-specialty, Not-in-family, White, Male,0,0,39, United-States, >50K.\n20, Private,408988, Some-college,10, Never-married, Sales, Own-child, White, Female,594,0,24, United-States, <=50K.\n49, Private,169515, 10th,6, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n31, Private,250087, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,208613, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,225172, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n20, ?,125905, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n35, Private,165007, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,42, United-States, >50K.\n46, Private,165346, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,8, United-States, <=50K.\n35, Private,37655, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,60, United-States, <=50K.\n21, Private,172047, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,20, United-States, <=50K.\n45, Private,178530, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Local-gov,347491, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n45, Self-emp-inc,208049, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,1590,40, United-States, <=50K.\n18, Private,111019, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K.\n53, Self-emp-not-inc,163826, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n24, Local-gov,117023, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Private,281982, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,150025, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Puerto-Rico, <=50K.\n50, Private,176215, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,56, United-States, >50K.\n38, Private,166062, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n34, Local-gov,28568, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n53, Private,53833, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,32, United-States, >50K.\n46, Private,219967, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K.\n50, Private,309017, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,45, United-States, <=50K.\n45, Private,353083, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, Private,257992, Assoc-voc,11, Never-married, Sales, Own-child, Black, Male,0,0,23, United-States, <=50K.\n41, Private,283174, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K.\n43, Self-emp-not-inc,185413, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K.\n29, Private,207513, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, <=50K.\n53, Private,56213, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n24, Private,100961, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,51700, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,199224, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n43, Local-gov,70055, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, <=50K.\n38, Private,183683, 10th,6, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n64, Private,45868, 7th-8th,4, Separated, Priv-house-serv, Not-in-family, Other, Female,0,0,35, Mexico, <=50K.\n37, Private,94706, Bachelors,13, Never-married, Prof-specialty, Own-child, Amer-Indian-Eskimo, Male,27828,0,40, United-States, >50K.\n48, Private,322183, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,35, United-States, >50K.\n27, Self-emp-not-inc,226976, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n45, Private,262678, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,135056, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,10520,0,38, United-States, >50K.\n33, ?,148380, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,3103,0,60, United-States, >50K.\n42, Private,270710, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, Private,166220, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,50, United-States, <=50K.\n29, Private,229803, HS-grad,9, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male,0,0,49, Haiti, <=50K.\n71, Self-emp-inc,172652, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n29, Federal-gov,204796, 10th,6, Separated, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, State-gov,186634, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,16, United-States, <=50K.\n28, Private,106672, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,2, United-States, <=50K.\n55, Private,135339, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, >50K.\n47, State-gov,287547, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K.\n21, ?,197583, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n33, Private,159737, HS-grad,9, Separated, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n35, Local-gov,252217, 12th,8, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Self-emp-inc,202466, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,45, United-States, >50K.\n33, Private,123031, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n30, Private,226296, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,232036, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, ?,233779, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K.\n21, ?,152328, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,481987, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K.\n42, Private,107563, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,184806, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,58, United-States, <=50K.\n36, Private,188850, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,127573, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,72443, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n57, Private,142080, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,38, United-States, >50K.\n50, Private,143353, HS-grad,9, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,12, United-States, <=50K.\n63, Private,172433, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K.\n44, Private,67874, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,625,50, United-States, <=50K.\n38, Private,415578, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n30, Self-emp-not-inc,370498, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,140513, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,25, United-States, <=50K.\n44, Self-emp-not-inc,193882, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n24, Private,289909, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,284078, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,2354,0,40, United-States, <=50K.\n42, Self-emp-not-inc,83953, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n54, Private,167380, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n45, State-gov,112761, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n37, Private,420040, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K.\n30, Federal-gov,42900, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Private,32086, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K.\n19, Private,291181, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,50, Mexico, <=50K.\n22, Private,71009, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n65, Federal-gov,200764, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n52, ?,133336, 10th,6, Divorced, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n36, Self-emp-not-inc,166193, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K.\n22, Private,240229, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n28, Private,334032, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n30, State-gov,184901, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,132912, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n29, Private,217290, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,184655, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,242739, Bachelors,13, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n52, Private,279344, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,60, United-States, >50K.\n62, Private,166691, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n42, Private,154374, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K.\n33, Private,31740, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,129396, 11th,7, Never-married, Sales, Other-relative, White, Female,0,0,26, United-States, <=50K.\n54, Private,195015, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,187431, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n45, State-gov,259087, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n37, State-gov,62428, Some-college,10, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,15, United-States, <=50K.\n21, Private,77572, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Female,0,0,34, South, <=50K.\n29, Private,245402, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, State-gov,201117, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n18, ?,36779, 11th,7, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n62, Private,177028, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K.\n19, Private,106306, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,20, United-States, <=50K.\n62, Private,101582, 7th-8th,4, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,35, United-States, <=50K.\n58, Local-gov,158357, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Private,377850, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n62, Private,207443, 11th,7, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,50, United-States, <=50K.\n23, Private,130959, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,12, United-States, <=50K.\n37, Private,112497, Bachelors,13, Married-spouse-absent, Exec-managerial, Unmarried, White, Male,4934,0,50, United-States, >50K.\n42, Private,190545, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,46, United-States, <=50K.\n21, Private,114292, 11th,7, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n41, Private,75171, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n27, Private,312939, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Private,52870, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,174947, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K.\n62, Local-gov,106069, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,298696, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,392812, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K.\n53, Private,117932, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n64, Private,135527, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n60, Private,135158, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,48, United-States, >50K.\n47, Private,54260, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, State-gov,28171, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,150324, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,109494, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,45, United-States, >50K.\n57, Private,204209, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K.\n19, Private,328167, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n26, Private,157617, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, ?, <=50K.\n63, Self-emp-inc,180955, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K.\n42, Private,478373, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,245090, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K.\n34, Private,209900, 10th,6, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, ?,228649, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n35, Private,190297, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,44780, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,8, United-States, >50K.\n52, State-gov,32372, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,137184, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n67, Private,366425, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Male,99999,0,60, United-States, >50K.\n26, Private,160307, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,2001,40, United-States, <=50K.\n58, Private,170480, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n48, Private,224393, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,173212, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n25, Private,86646, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,4865,0,48, United-States, <=50K.\n25, Private,108683, Some-college,10, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,50, United-States, <=50K.\n18, Private,70021, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K.\n36, Private,192939, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n45, Self-emp-not-inc,144086, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n34, Private,97614, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n68, Self-emp-inc,260198, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,486194, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, Guatemala, <=50K.\n21, Private,112225, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,15, United-States, <=50K.\n49, Private,164200, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Local-gov,52401, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n41, Private,195821, Doctorate,16, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,40, United-States, >50K.\n35, Private,108140, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n29, Local-gov,187981, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n29, ?,108126, 9th,5, Separated, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n54, Local-gov,168212, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n32, Self-emp-not-inc,198613, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, ?, >50K.\n18, Private,52098, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n30, Private,509364, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, White, Male,0,0,40, United-States, >50K.\n66, ?,128614, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, >50K.\n23, Local-gov,238384, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n36, Private,317434, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n34, Private,158688, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n39, Self-emp-not-inc,267412, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n26, Local-gov,391074, 10th,6, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n78, Private,135692, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,78529, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Private,117700, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n33, Local-gov,83413, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, >50K.\n44, ?,210875, 11th,7, Divorced, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n34, Private,108023, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n33, Self-emp-not-inc,103435, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K.\n28, Private,632733, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n55, Private,266019, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,4, United-States, <=50K.\n30, Private,41210, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n45, Private,125892, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Poland, <=50K.\n46, Private,135339, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K.\n17, Private,272372, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,7, United-States, <=50K.\n40, Private,291300, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Puerto-Rico, <=50K.\n44, Local-gov,157473, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n56, Private,329948, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n69, Self-emp-inc,264722, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,132853, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Mexico, <=50K.\n47, Local-gov,216586, 11th,7, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n33, Private,504725, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,3464,0,40, Mexico, <=50K.\n25, State-gov,150083, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n42, Private,188789, 7th-8th,4, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n65, ?,101427, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,2653,0,30, United-States, <=50K.\n24, Private,103277, Assoc-voc,11, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n48, Federal-gov,191013, Bachelors,13, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n82, Self-emp-inc,220667, 7th-8th,4, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,188800, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n34, Private,24361, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,10520,0,40, United-States, >50K.\n28, Private,82910, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n65, Private,105586, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,20051,0,40, United-States, >50K.\n66, Self-emp-not-inc,240294, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,60, United-States, <=50K.\n40, Private,21755, Some-college,10, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K.\n66, Private,73522, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, ?, <=50K.\n37, Private,222450, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n34, Private,35595, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,239061, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n43, Private,122473, Masters,14, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,1977,50, United-States, >50K.\n20, Private,190290, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, Canada, <=50K.\n59, Private,193375, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,10, United-States, <=50K.\n48, Private,148576, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n45, State-gov,72896, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,180299, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K.\n43, Private,221550, Bachelors,13, Separated, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K.\n18, Private,183011, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,15, Haiti, <=50K.\n34, ?,370209, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n55, Self-emp-inc,298449, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2179,60, United-States, <=50K.\n21, Local-gov,300812, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Private,173938, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,282172, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n61, Private,87300, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,64520, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, State-gov,119567, Masters,14, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n45, Private,117310, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K.\n35, State-gov,28738, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,4101,0,40, United-States, <=50K.\n17, ?,99695, 10th,6, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n49, Private,366089, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n40, Private,234397, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K.\n28, Self-emp-not-inc,132686, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-inc,196963, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n31, State-gov,46492, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Local-gov,274245, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n62, Private,360032, 10th,6, Divorced, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n40, Private,144778, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n61, Private,142245, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Federal-gov,178074, Masters,14, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1902,40, United-States, >50K.\n19, ?,218171, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,2, South, <=50K.\n32, Local-gov,130242, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n52, Private,98980, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,284629, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,114591, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K.\n30, Private,134639, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,8614,0,45, United-States, >50K.\n27, Private,134890, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,199545, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n32, Private,227282, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n47, Self-emp-inc,308241, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,60, United-States, >50K.\n43, Private,214781, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,38, United-States, >50K.\n50, Local-gov,173630, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K.\n42, Federal-gov,348059, Assoc-acdm,12, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K.\n31, Private,208785, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n43, Private,151809, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K.\n37, Private,71592, HS-grad,9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,17, United-States, <=50K.\n58, Private,132704, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,3325,0,40, United-States, <=50K.\n32, Private,250583, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n35, Private,114765, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, >50K.\n40, Self-emp-not-inc,194924, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n39, Self-emp-not-inc,73471, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1573,45, United-States, <=50K.\n51, Private,250423, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n42, Private,145441, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n27, Private,86681, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n69, Private,188643, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,1429,30, United-States, <=50K.\n74, Private,68326, Assoc-voc,11, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,382859, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K.\n23, ?,211968, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,23, Iran, <=50K.\n48, Local-gov,132368, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,196123, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n68, Private,178066, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,1797,0,24, United-States, <=50K.\n40, State-gov,105936, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n23, Private,306639, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,26502, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Local-gov,204698, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,118057, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Male,0,0,51, United-States, <=50K.\n22, State-gov,199266, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,17, United-States, <=50K.\n49, Private,248145, HS-grad,9, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, Nicaragua, <=50K.\n51, Private,239284, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Self-emp-inc,188738, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n31, Private,209101, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n67, Local-gov,197816, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,24, United-States, <=50K.\n27, ?,60726, Bachelors,13, Never-married, ?, Not-in-family, Black, Male,0,0,45, United-States, <=50K.\n59, Self-emp-not-inc,211678, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,15, United-States, <=50K.\n66, Private,304957, HS-grad,9, Widowed, Priv-house-serv, Unmarried, White, Female,0,0,25, United-States, <=50K.\n28, Private,278552, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K.\n33, Self-emp-not-inc,79303, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n44, Local-gov,64632, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n39, Private,560313, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,45, United-States, >50K.\n39, Local-gov,174597, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K.\n46, Private,139946, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, >50K.\n19, Private,277695, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, Mexico, <=50K.\n44, Self-emp-not-inc,138471, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Private,320615, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,2205,40, United-States, <=50K.\n48, Private,164954, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,42, United-States, <=50K.\n27, Private,263728, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3137,0,50, United-States, <=50K.\n44, Private,103980, Some-college,10, Divorced, Prof-specialty, Own-child, White, Male,3325,0,35, United-States, <=50K.\n30, Private,159442, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, Ireland, <=50K.\n32, Federal-gov,113838, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n49, Private,28171, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,15024,0,78, United-States, >50K.\n37, Self-emp-not-inc,227253, Preschool,1, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, Mexico, <=50K.\n24, Private,211129, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Female,0,0,60, United-States, >50K.\n19, Private,120003, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n20, Private,245182, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n25, Private,188767, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n29, Private,227890, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n43, Private,131650, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n35, Local-gov,258725, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Local-gov,127678, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, >50K.\n53, Private,110747, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,409246, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K.\n32, Private,128829, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n36, Private,170031, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Self-emp-not-inc,150917, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, <=50K.\n41, Private,197372, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n49, Self-emp-not-inc,43479, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Male,0,0,63, Canada, >50K.\n36, Private,166549, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Private,119684, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,2829,0,28, United-States, <=50K.\n44, Private,651702, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, United-States, <=50K.\n69, Self-emp-not-inc,199829, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1258,40, United-States, <=50K.\n22, Private,86745, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n36, Private,644278, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K.\n58, Private,31137, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3464,0,60, United-States, <=50K.\n32, Private,104525, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,40, United-States, <=50K.\n19, ?,91278, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K.\n27, Private,111361, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K.\n19, ?,291692, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,28, United-States, <=50K.\n35, Private,228881, HS-grad,9, Never-married, Craft-repair, Other-relative, Other, Male,0,0,40, Puerto-Rico, <=50K.\n58, Private,152731, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,178310, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n48, Self-emp-not-inc,116360, Assoc-voc,11, Divorced, Tech-support, Other-relative, Black, Female,0,0,10, United-States, <=50K.\n22, Private,535852, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n39, Private,30828, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,39518, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n23, Private,445758, 5th-6th,3, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n40, Private,222504, Assoc-voc,11, Never-married, Prof-specialty, Own-child, White, Female,0,0,36, United-States, <=50K.\n35, Private,357619, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Germany, <=50K.\n20, ?,121389, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,32, United-States, <=50K.\n41, Private,228847, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,118598, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n58, Private,49893, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n38, Private,452353, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n40, State-gov,285000, Bachelors,13, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n29, Private,263300, HS-grad,9, Separated, Priv-house-serv, Unmarried, Black, Female,0,0,55, United-States, <=50K.\n28, State-gov,132675, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, Germany, <=50K.\n35, Private,175232, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, Private,257421, 12th,8, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K.\n29, Private,196227, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,34965, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K.\n65, Private,475775, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,22, United-States, <=50K.\n19, Private,196857, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,594,0,15, United-States, <=50K.\n37, Private,159917, 9th,5, Separated, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K.\n22, Private,212803, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n70, Private,118902, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Scotland, <=50K.\n21, Local-gov,166827, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n21, Private,180060, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, Private,47218, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n46, Private,73541, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n33, State-gov,150688, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, India, >50K.\n36, Private,207824, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K.\n42, Self-emp-inc,198282, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n52, Private,206359, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n55, ?,125659, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,6, United-States, >50K.\n60, Local-gov,129193, Some-college,10, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n57, Local-gov,167457, 7th-8th,4, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, Private,455469, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K.\n24, Private,206891, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,269323, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n45, Local-gov,187715, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n48, Federal-gov,71376, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,268707, 11th,7, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male,0,0,42, United-States, <=50K.\n45, Private,215620, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,158438, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Private,209629, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,121076, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n34, Private,97933, 9th,5, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n25, Private,177423, HS-grad,9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,4416,0,45, Philippines, <=50K.\n39, Private,185520, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Federal-gov,38321, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,213307, 1st-4th,2, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n48, Private,328581, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n58, Private,177368, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,148903, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n53, Self-emp-not-inc,385520, HS-grad,9, Widowed, Farming-fishing, Unmarried, White, Female,0,0,55, United-States, <=50K.\n25, Self-emp-not-inc,193716, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n21, Private,238899, Bachelors,13, Never-married, Sales, Own-child, Black, Female,0,0,30, United-States, <=50K.\n36, Private,209993, 5th-6th,3, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,40, El-Salvador, <=50K.\n51, State-gov,136060, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Local-gov,192944, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,29927, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n23, Local-gov,200593, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Private,311376, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,25, United-States, <=50K.\n58, Private,206814, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,50, United-States, >50K.\n21, Private,278391, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, Nicaragua, <=50K.\n32, Private,364657, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n54, ?,120781, Doctorate,16, Married-spouse-absent, ?, Unmarried, Asian-Pac-Islander, Male,0,0,20, India, <=50K.\n62, Private,175080, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n29, ?,522241, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n43, Private,161240, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n20, Private,162282, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,60, United-States, <=50K.\n23, Private,199419, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n26, Private,171114, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,208855, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n30, Private,381030, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n63, Private,219337, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,3471,0,45, United-States, <=50K.\n45, Private,180010, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n39, Private,189382, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Private,121712, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,30, United-States, <=50K.\n28, ?,192257, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,5, United-States, <=50K.\n20, ?,68620, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Private,352188, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,398874, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n33, Private,191930, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,50, United-States, <=50K.\n26, Private,269168, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n20, ?,123536, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n40, Private,173651, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n49, Private,149337, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n64, Private,146674, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, ?, >50K.\n65, Private,173483, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n19, Private,223669, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n47, Private,182177, Some-college,10, Divorced, Protective-serv, Unmarried, White, Female,0,0,23, United-States, <=50K.\n24, Private,109414, Some-college,10, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male,0,0,20, India, <=50K.\n55, Self-emp-inc,150917, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K.\n61, Self-emp-not-inc,39128, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n47, Local-gov,103540, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n64, Private,110212, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n37, Private,222450, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,2339,40, El-Salvador, <=50K.\n21, ?,113760, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n40, ?,253717, 11th,7, Married-civ-spouse, ?, Wife, White, Female,0,0,16, United-States, <=50K.\n25, Private,306908, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,263871, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n40, State-gov,55294, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,174063, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n54, State-gov,258735, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,275867, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,154235, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n32, Local-gov,210448, Some-college,10, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n32, Private,337908, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n26, State-gov,205333, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,10, United-States, <=50K.\n23, Private,187447, Some-college,10, Separated, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Private,153589, 9th,5, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Local-gov,149988, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n43, Private,398959, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, ?,194096, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n39, Private,44041, Assoc-acdm,12, Married-spouse-absent, Adm-clerical, Other-relative, White, Male,0,0,60, United-States, <=50K.\n22, Private,208946, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,30, ?, <=50K.\n47, Private,202117, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n34, Local-gov,303129, HS-grad,9, Divorced, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n35, Private,215419, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n20, Private,175069, Some-college,10, Never-married, Sales, Own-child, White, Male,1055,0,30, United-States, <=50K.\n36, Federal-gov,20469, HS-grad,9, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n52, Private,254680, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,99, United-States, <=50K.\n38, Self-emp-inc,46385, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,178463, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,229296, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K.\n38, Private,179352, Assoc-acdm,12, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n56, Self-emp-not-inc,177368, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,156015, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n35, State-gov,308945, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K.\n60, Self-emp-not-inc,119575, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n20, Private,332689, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n18, Private,150817, 12th,8, Never-married, Protective-serv, Own-child, White, Female,0,0,45, United-States, <=50K.\n19, Private,50941, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n53, Federal-gov,59664, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,5013,0,40, United-States, <=50K.\n18, Private,56613, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,20, United-States, <=50K.\n44, Private,162372, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Puerto-Rico, <=50K.\n57, Private,77927, 5th-6th,3, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,37, United-States, <=50K.\n36, ?,157278, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,170214, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, Iran, <=50K.\n33, Private,76493, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K.\n19, Private,130431, 5th-6th,3, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, Mexico, <=50K.\n40, State-gov,23037, Some-college,10, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0,0,84, United-States, <=50K.\n20, Self-emp-not-inc,176321, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,105449, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K.\n41, Private,157217, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n47, Federal-gov,382532, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K.\n23, Private,250918, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,30, United-States, <=50K.\n49, State-gov,139268, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,70, United-States, >50K.\n37, Self-emp-not-inc,200352, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n67, Private,267915, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n24, Private,376474, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,153047, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n29, Private,154236, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,58, United-States, >50K.\n22, ?,261881, 11th,7, Never-married, ?, Other-relative, Black, Female,0,0,15, United-States, <=50K.\n26, Private,427744, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-not-inc,100580, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,10, United-States, <=50K.\n23, Private,238179, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,2339,45, United-States, <=50K.\n37, State-gov,272471, Some-college,10, Widowed, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K.\n30, Private,259058, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,0,1726,40, United-States, <=50K.\n41, Private,112656, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n23, Private,197286, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n47, Federal-gov,26145, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,314440, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,57691, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Male,0,2258,70, United-States, <=50K.\n33, Private,301251, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n25, Private,243410, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n40, Private,119008, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n67, Private,169435, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,200327, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,18, United-States, <=50K.\n69, Private,31501, Assoc-voc,11, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,223327, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,1672,42, United-States, <=50K.\n52, Private,191130, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K.\n22, ?,191561, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,30, United-States, <=50K.\n47, Private,245724, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,194134, Assoc-voc,11, Never-married, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n23, Private,140764, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,1590,40, United-States, <=50K.\n41, Self-emp-not-inc,189941, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,149368, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n57, Local-gov,237546, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n34, Private,211051, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n44, State-gov,307468, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, >50K.\n46, Self-emp-not-inc,27847, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n60, Private,39263, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,3325,0,35, United-States, <=50K.\n46, Local-gov,183610, Masters,14, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, Self-emp-inc,235847, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,52, United-States, <=50K.\n44, Local-gov,32627, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,60, United-States, >50K.\n43, Private,42026, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Federal-gov,72808, 11th,7, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K.\n55, Private,377113, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,60, United-States, >50K.\n24, Private,176389, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n65, Private,71075, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n51, Self-emp-inc,110327, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n42, State-gov,392167, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,130808, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,351757, 10th,6, Never-married, Other-service, Unmarried, White, Male,0,0,30, El-Salvador, <=50K.\n24, Self-emp-not-inc,345420, 7th-8th,4, Never-married, Farming-fishing, Other-relative, White, Male,0,0,50, United-States, <=50K.\n52, Private,220984, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,236834, 9th,5, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,35, Mexico, <=50K.\n42, Private,153489, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,330850, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,70, United-States, <=50K.\n53, Private,337195, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n35, Private,214816, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,36, United-States, <=50K.\n20, Private,92863, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,226894, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,13550,0,40, United-States, >50K.\n46, Private,40666, Bachelors,13, Divorced, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K.\n18, ?,142043, 11th,7, Never-married, ?, Other-relative, White, Male,0,0,15, United-States, <=50K.\n58, Private,105239, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n41, Private,112763, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K.\n66, Self-emp-not-inc,219220, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,2653,0,40, United-States, <=50K.\n38, State-gov,168223, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, Private,175639, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,28, United-States, <=50K.\n39, Private,167482, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Local-gov,178417, HS-grad,9, Married-civ-spouse, Protective-serv, Own-child, White, Male,0,0,40, United-States, >50K.\n26, Local-gov,33604, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,25, United-States, <=50K.\n27, Private,62082, Bachelors,13, Never-married, Sales, Own-child, Other, Male,0,0,38, United-States, <=50K.\n29, Private,149902, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,80, United-States, <=50K.\n29, Private,74784, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n47, Self-emp-inc,54260, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n62, ?,119986, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, >50K.\n29, Local-gov,165218, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n52, Local-gov,192853, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,40, Jamaica, >50K.\n27, Private,56299, 11th,7, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n53, ?,394690, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,5, United-States, <=50K.\n29, Private,208406, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n62, Private,165827, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n72, Private,249559, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n27, Private,151382, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,161141, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n27, Private,57092, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n49, Private,116927, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n56, Private,133876, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n52, Self-emp-inc,229259, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,338162, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K.\n37, Federal-gov,38948, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,169276, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n38, State-gov,364803, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,65, United-States, <=50K.\n45, Private,302677, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,1340,50, United-States, <=50K.\n35, Private,235485, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,91189, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,60, United-States, <=50K.\n54, Federal-gov,149596, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, <=50K.\n19, Private,89211, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n48, State-gov,241854, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n41, Private,213351, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,74631, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n56, Private,128696, 11th,7, Married-civ-spouse, Tech-support, Wife, Black, Female,0,0,40, United-States, <=50K.\n49, Private,141069, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n17, ?,347248, 10th,6, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n45, Private,176947, 7th-8th,4, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n46, Private,274200, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n39, Private,94036, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n52, ?,188431, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K.\n34, Local-gov,176802, 11th,7, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n65, ?,258973, Some-college,10, Widowed, ?, Not-in-family, White, Female,401,0,14, United-States, <=50K.\n46, Private,235646, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,175883, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n48, Private,154430, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n71, Private,258126, 9th,5, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,39, Cuba, <=50K.\n26, Federal-gov,337575, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n47, Self-emp-inc,308241, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n21, ?,162165, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,43, United-States, <=50K.\n23, Private,298623, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K.\n65, Private,270935, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n60, Private,338833, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,38, United-States, <=50K.\n19, ?,341631, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,25, United-States, <=50K.\n35, Private,233786, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n32, Private,366876, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, State-gov,183279, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K.\n41, Federal-gov,29606, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, >50K.\n24, Local-gov,137300, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n45, Private,184070, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K.\n48, Private,188610, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n20, Private,41356, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n51, Private,145409, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, ?, >50K.\n24, ?,287413, HS-grad,9, Never-married, ?, Not-in-family, Black, Male,0,0,60, United-States, <=50K.\n39, Local-gov,100011, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n21, Private,119673, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n49, Private,140782, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,2415,3, United-States, >50K.\n30, Private,193246, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n68, State-gov,420526, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,5, United-States, <=50K.\n30, Private,34574, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n32, Self-emp-not-inc,400061, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024,0,40, Philippines, >50K.\n49, Private,107009, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, Portugal, <=50K.\n24, Private,33551, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n34, Private,121640, Some-college,10, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male,0,0,44, United-States, <=50K.\n40, Private,179524, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, ?,473206, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,32, United-States, <=50K.\n41, Private,54422, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n23, Private,202416, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n48, Private,158685, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n56, Self-emp-inc,76534, HS-grad,9, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,21, China, <=50K.\n42, State-gov,218948, Doctorate,16, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,36, Jamaica, <=50K.\n37, Self-emp-not-inc,175120, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n32, Private,100154, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n29, Private,160510, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, >50K.\n58, Private,223214, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K.\n40, Private,79488, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,136986, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,52, United-States, >50K.\n33, Private,202339, 11th,7, Never-married, Sales, Unmarried, White, Female,0,0,34, United-States, <=50K.\n58, Private,205737, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,80145, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n22, ?,303579, Some-college,10, Never-married, ?, Own-child, White, Male,0,1602,8, United-States, <=50K.\n47, Private,235108, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K.\n41, State-gov,201363, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, >50K.\n41, Self-emp-inc,244172, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, >50K.\n73, ?,99349, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n56, Federal-gov,338242, Assoc-voc,11, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n83, ?,29702, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K.\n22, Private,146352, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,60, United-States, <=50K.\n30, Private,215182, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, ?,133456, Assoc-acdm,12, Widowed, ?, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n32, Private,79586, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K.\n27, Private,181822, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,123809, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,35, United-States, >50K.\n37, Private,35429, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,1506,0,40, United-States, <=50K.\n48, Private,151584, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,46, United-States, <=50K.\n42, Private,303725, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n35, Private,194404, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n20, Local-gov,224229, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n33, Private,236396, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K.\n25, Private,40255, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K.\n29, State-gov,214881, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Honduras, >50K.\n47, Private,332465, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n28, Private,165218, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n20, Private,34506, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n30, Local-gov,79190, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Self-emp-not-inc,79001, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Private,137876, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n57, Federal-gov,40103, 10th,6, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n24, Self-emp-inc,145964, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n32, Private,268282, 7th-8th,4, Married-spouse-absent, Farming-fishing, Other-relative, White, Male,0,0,35, Mexico, <=50K.\n67, Local-gov,272587, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,1086,0,15, United-States, <=50K.\n22, Private,220993, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Private,88676, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n29, Private,185386, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,42, Mexico, <=50K.\n37, Private,177420, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, >50K.\n20, ?,203353, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n30, Private,100734, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, State-gov,181119, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, ?,172232, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,243678, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Self-emp-inc,170174, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n48, Private,102202, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K.\n38, Private,249720, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n25, Private,167835, Assoc-voc,11, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K.\n22, Private,266780, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,24, United-States, <=50K.\n17, Private,173740, 10th,6, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n44, Private,40024, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,52, United-States, >50K.\n28, Private,193260, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,50, South, >50K.\n18, Private,175752, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n37, Private,202662, 10th,6, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n26, Private,167350, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K.\n43, Private,412379, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,28, United-States, <=50K.\n23, Self-emp-not-inc,121568, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,1504,40, United-States, <=50K.\n43, Private,56651, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n45, Private,238567, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K.\n34, Private,144949, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K.\n42, Private,234633, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,147397, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n38, Private,247547, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n35, Private,266645, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,154897, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,50, United-States, <=50K.\n44, Private,112507, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Federal-gov,110884, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,45, India, >50K.\n25, Private,151588, Some-college,10, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n54, Local-gov,217210, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,1887,38, United-States, >50K.\n22, ?,185357, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K.\n47, Private,139701, 5th-6th,3, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Dominican-Republic, <=50K.\n36, Private,50707, Bachelors,13, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,40, United-States, <=50K.\n48, Private,370119, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,50, United-States, >50K.\n66, Self-emp-not-inc,252842, HS-grad,9, Never-married, Farming-fishing, Other-relative, White, Male,0,0,20, United-States, <=50K.\n58, Private,106707, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,48, United-States, <=50K.\n25, Private,149486, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n30, Private,427541, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Female,99999,0,40, United-States, >50K.\n51, Self-emp-not-inc,22154, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,144949, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,2559,40, United-States, >50K.\n20, Private,228686, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n57, Self-emp-not-inc,113010, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n23, Federal-gov,361278, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n33, Self-emp-not-inc,109509, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n47, Private,172155, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,37, Ecuador, >50K.\n54, Private,204304, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n75, Private,233362, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-inc,141609, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n51, Private,179479, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,3325,0,40, Yugoslavia, <=50K.\n32, Private,193565, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,314539, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Private,208908, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,375526, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n31, Private,291494, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,117747, Bachelors,13, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K.\n56, Private,331569, HS-grad,9, Married-civ-spouse, Sales, Wife, Black, Female,0,0,36, United-States, <=50K.\n46, Private,146786, 10th,6, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n59, Private,147098, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,137076, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,223811, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,23, United-States, <=50K.\n69, Private,172354, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Female,1848,0,50, United-States, <=50K.\n35, Private,154410, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K.\n58, Private,277203, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, <=50K.\n21, Private,97295, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n60, Private,95680, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,45, United-States, >50K.\n29, Private,328981, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n29, Self-emp-not-inc,75435, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n53, Private,116288, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Federal-gov,136105, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,1848,40, United-States, >50K.\n55, Local-gov,134042, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n29, Private,253003, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,2258,45, United-States, >50K.\n37, Private,193106, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n37, Private,117528, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,194537, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n57, Private,195820, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,265671, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n18, ?,90636, Some-college,10, Never-married, ?, Own-child, Amer-Indian-Eskimo, Female,594,0,40, United-States, <=50K.\n57, Private,166107, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, ?, <=50K.\n49, Federal-gov,106207, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Private,187135, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,56, United-States, <=50K.\n44, Private,231793, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,52, United-States, <=50K.\n20, ?,228326, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K.\n36, Self-emp-not-inc,125933, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,50, United-States, >50K.\n29, Local-gov,211032, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K.\n51, Local-gov,125796, 11th,7, Never-married, Farming-fishing, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n19, Private,29526, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K.\n53, Private,158993, 10th,6, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n43, Private,116379, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, China, >50K.\n42, Private,201343, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2885,0,40, United-States, <=50K.\n44, Private,402718, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K.\n37, Self-emp-inc,98360, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Self-emp-not-inc,285580, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,25, United-States, <=50K.\n27, ?,119851, Some-college,10, Divorced, ?, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n30, Private,325509, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n56, Private,204745, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,3325,0,45, United-States, <=50K.\n58, Private,152874, Some-college,10, Widowed, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n20, Private,139715, HS-grad,9, Never-married, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n36, Private,141584, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n26, Private,156848, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,40151, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n24, Private,50648, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K.\n26, Private,122920, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,56, United-States, <=50K.\n19, Local-gov,91571, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K.\n21, Private,227220, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,33, United-States, <=50K.\n43, State-gov,344519, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n20, Private,133061, Some-college,10, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K.\n47, Private,219054, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n62, Local-gov,194276, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n46, Self-emp-inc,168211, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,60, United-States, <=50K.\n54, Local-gov,220054, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n43, Self-emp-inc,405601, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n34, Private,240979, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,80, United-States, <=50K.\n47, Local-gov,202606, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n58, Private,220896, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,24274, HS-grad,9, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K.\n26, Private,263444, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,14344,0,40, United-States, >50K.\n51, Local-gov,99064, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K.\n53, Private,203967, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K.\n53, State-gov,94186, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,37, United-States, <=50K.\n68, ?,110931, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n46, Local-gov,66934, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K.\n32, Self-emp-inc,196385, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,47012, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,216013, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n67, Self-emp-not-inc,98921, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,320294, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n27, Private,247102, 10th,6, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n65, Private,155632, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, United-States, <=50K.\n22, Self-emp-inc,120753, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K.\n27, Private,213921, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,30, Mexico, <=50K.\n30, Private,94235, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n44, Private,84141, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,65, United-States, <=50K.\n35, Private,237943, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,225895, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Local-gov,126569, Bachelors,13, Divorced, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, State-gov,172307, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n32, Private,111520, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,34, United-States, <=50K.\n53, Private,283079, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n41, Private,109969, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n65, Private,146159, 7th-8th,4, Widowed, Priv-house-serv, Not-in-family, Black, Female,0,1668,31, United-States, <=50K.\n22, State-gov,247319, Some-college,10, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0,0,60, United-States, <=50K.\n65, Local-gov,200764, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, >50K.\n21, Private,123868, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,137063, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, <=50K.\n24, Private,112137, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,50, South, <=50K.\n39, Private,188069, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,50, United-States, >50K.\n52, Private,102828, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,187221, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,12, El-Salvador, <=50K.\n62, Private,343982, 10th,6, Widowed, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n28, Self-emp-not-inc,146949, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,80, United-States, <=50K.\n41, Private,150011, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n28, Private,107812, 9th,5, Never-married, Transport-moving, Not-in-family, White, Male,6849,0,35, United-States, <=50K.\n43, Private,207392, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,70, United-States, >50K.\n61, State-gov,140851, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,216842, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,10, United-States, <=50K.\n34, Private,112115, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K.\n21, Local-gov,185279, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K.\n60, Private,194980, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n28, Private,189530, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K.\n32, Self-emp-not-inc,38158, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298,0,70, United-States, >50K.\n55, ?,246219, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,2105,0,40, United-States, <=50K.\n51, Private,143822, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,300851, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,56, United-States, <=50K.\n37, Private,184874, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,1151,0,40, United-States, <=50K.\n40, Private,83827, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, England, <=50K.\n44, Private,112847, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n27, Private,581128, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n55, Self-emp-not-inc,202652, Assoc-voc,11, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K.\n40, Private,171888, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,24, United-States, >50K.\n30, Private,45427, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n36, Private,185848, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n74, Private,282553, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Federal-gov,153614, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,65353, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K.\n44, Private,244172, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Mexico, <=50K.\n48, Private,148995, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,14084,0,45, United-States, >50K.\n25, Private,274228, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n33, Private,156383, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n49, Private,47403, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K.\n75, ?,226593, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n33, Self-emp-not-inc,94041, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1974,30, United-States, <=50K.\n29, Private,271710, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n47, Federal-gov,231797, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,55, United-States, >50K.\n33, Private,188403, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n65, Private,444725, Prof-school,15, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,48, Hungary, >50K.\n17, Private,242605, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K.\n58, Private,244605, Bachelors,13, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K.\n55, Private,335276, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n37, Self-emp-not-inc,284616, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,48, United-States, <=50K.\n60, Private,162151, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n25, Private,60358, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n34, Private,151693, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n20, ?,369907, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n26, Private,171636, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,72, United-States, <=50K.\n34, Private,118901, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, State-gov,28419, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K.\n34, Private,608881, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n31, Self-emp-inc,112564, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, ?, <=50K.\n25, Private,171472, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K.\n20, Private,236804, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K.\n38, Private,212252, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K.\n69, Private,119907, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Local-gov,352797, HS-grad,9, Married-spouse-absent, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K.\n32, Private,97281, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n65, Private,154351, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,2993,0,40, United-States, <=50K.\n22, Private,117606, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K.\n25, Private,222089, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, Thailand, <=50K.\n40, Private,199668, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n29, Local-gov,194869, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n33, Private,283268, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n60, Private,170278, 5th-6th,3, Widowed, Sales, Not-in-family, White, Female,0,0,40, Italy, <=50K.\n28, Federal-gov,90787, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K.\n28, Private,110749, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,39, United-States, <=50K.\n72, Self-emp-not-inc,173864, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,2290,0,45, United-States, <=50K.\n35, Private,278442, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,48, United-States, >50K.\n33, State-gov,162705, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,99, United-States, >50K.\n36, Private,326352, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n18, Private,105854, HS-grad,9, Never-married, Craft-repair, Other-relative, Other, Male,0,0,32, United-States, <=50K.\n38, Self-emp-inc,116608, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,20, United-States, >50K.\n48, Private,182655, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,213834, Assoc-voc,11, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n29, Private,42881, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n81, Self-emp-not-inc,240414, Bachelors,13, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n19, Private,37688, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n39, Self-emp-not-inc,189922, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n20, ?,323309, HS-grad,9, Never-married, ?, Own-child, Other, Male,0,0,60, South, <=50K.\n41, Federal-gov,341638, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,92, United-States, <=50K.\n50, Private,114758, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n54, Private,288557, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,46, United-States, <=50K.\n18, ?,191817, 11th,7, Never-married, ?, Own-child, White, Male,0,0,20, Mexico, <=50K.\n18, Private,222851, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K.\n54, Private,93605, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Private,263984, Some-college,10, Married-spouse-absent, Exec-managerial, Not-in-family, Black, Male,0,0,40, ?, <=50K.\n21, Private,190916, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n22, Private,384787, 9th,5, Never-married, Sales, Other-relative, White, Female,0,0,40, Mexico, <=50K.\n19, Local-gov,43921, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,183739, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,8, United-States, >50K.\n37, Private,490871, 11th,7, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,25, United-States, <=50K.\n31, Private,173473, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, United-States, >50K.\n31, Self-emp-not-inc,24504, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K.\n60, Private,113080, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n43, Private,197093, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n65, Private,56924, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,10, United-States, <=50K.\n33, Federal-gov,207723, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, ?, <=50K.\n32, Private,327902, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,197860, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, Haiti, <=50K.\n53, Private,95647, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n50, Private,98227, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,430151, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,0,0,30, United-States, <=50K.\n60, Private,73069, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n32, Private,101345, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,1741,40, United-States, <=50K.\n36, Private,196123, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, >50K.\n20, Private,24008, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Private,67433, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, ?,224466, HS-grad,9, Never-married, ?, Other-relative, Black, Male,0,0,24, United-States, <=50K.\n29, Private,292120, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K.\n52, Private,198362, Bachelors,13, Never-married, Sales, Other-relative, White, Female,0,0,25, United-States, <=50K.\n41, Private,231507, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,216178, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n52, ?,91447, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,2205,8, United-States, <=50K.\n40, Private,232820, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n40, Private,53956, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n22, Private,155913, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K.\n69, Private,104827, HS-grad,9, Widowed, Tech-support, Unmarried, White, Female,0,0,8, United-States, <=50K.\n28, Private,197222, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,38, United-States, <=50K.\n57, Private,255406, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,1980,44, United-States, <=50K.\n54, Federal-gov,278076, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K.\n41, Local-gov,231348, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,196286, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,76417, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-inc,190964, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137,0,42, United-States, <=50K.\n57, Federal-gov,239486, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,45, United-States, >50K.\n18, Private,101709, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,15, United-States, <=50K.\n53, Private,120914, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,60722, HS-grad,9, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n28, Private,257405, 5th-6th,3, Never-married, Farming-fishing, Unmarried, Black, Male,0,0,40, Mexico, <=50K.\n61, Private,32209, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2051,40, United-States, <=50K.\n45, Private,431245, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Self-emp-not-inc,95082, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n57, Private,220986, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n40, Private,87771, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n72, Self-emp-inc,199233, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2377,35, United-States, >50K.\n23, Private,133515, Bachelors,13, Never-married, Sales, Unmarried, White, Female,0,0,20, United-States, <=50K.\n46, Private,117310, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n51, Private,163027, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,20, United-States, <=50K.\n46, Private,169711, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,91317, Assoc-acdm,12, Never-married, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K.\n42, Private,106159, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n53, Local-gov,177063, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,175059, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,129573, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K.\n59, Private,169611, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, Private,247506, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,37085, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n25, Private,202033, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n26, Private,179864, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n51, State-gov,88020, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K.\n28, ?,243190, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,30, ?, <=50K.\n33, Private,102270, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K.\n25, Private,81286, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n23, ?,205690, Assoc-voc,11, Never-married, ?, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n35, State-gov,37314, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,29213, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n43, Self-emp-not-inc,451019, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K.\n49, Self-emp-inc,125892, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n45, Private,259412, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K.\n49, Federal-gov,207540, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,110167, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,430336, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,7688,0,45, United-States, >50K.\n39, Self-emp-inc,210610, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,31, Cuba, >50K.\n26, Private,86483, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n17, Private,138507, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K.\n26, Federal-gov,345157, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n71, Local-gov,161342, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,3, United-States, <=50K.\n27, Private,159109, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,42, United-States, <=50K.\n34, Private,54608, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Local-gov,433602, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,38, United-States, <=50K.\n36, Self-emp-not-inc,350103, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,166193, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n41, Federal-gov,56236, HS-grad,9, Divorced, Protective-serv, Unmarried, Black, Male,1506,0,40, United-States, <=50K.\n47, Private,156926, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,26698, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n43, Self-emp-not-inc,75993, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n39, Private,312271, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n35, Private,70282, HS-grad,9, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n22, Private,259109, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,18, United-States, <=50K.\n45, Private,192360, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K.\n33, Private,373432, Some-college,10, Separated, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K.\n21, Local-gov,176998, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Federal-gov,32950, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n30, Self-emp-not-inc,48520, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,80, United-States, <=50K.\n47, State-gov,237525, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,202746, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,179255, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K.\n47, Self-emp-inc,337825, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n68, Self-emp-not-inc,191517, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Private,239130, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,2444,40, United-States, >50K.\n42, Private,233366, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Other, Male,3103,0,40, Mexico, >50K.\n36, ?,137492, HS-grad,9, Divorced, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n28, Private,66893, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1564,50, United-States, >50K.\n61, Private,266646, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, Black, Male,2290,0,40, United-States, <=50K.\n33, Private,238246, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, Germany, <=50K.\n23, Private,215616, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n40, Private,148316, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,172402, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, Private,195918, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n23, Private,33016, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,267281, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n33, Federal-gov,43608, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n21, Private,57827, HS-grad,9, Widowed, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Private,110145, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,162884, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,60, Columbia, <=50K.\n43, State-gov,145166, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,84, United-States, <=50K.\n50, Private,193720, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K.\n48, Private,310639, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n49, Private,196360, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,46, United-States, >50K.\n28, Private,370675, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1408,50, Hong, <=50K.\n36, Private,398931, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K.\n28, Local-gov,104329, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K.\n61, Self-emp-inc,103575, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K.\n25, State-gov,222800, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,176239, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,321274, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,192713, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, ?, <=50K.\n25, Private,407714, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, ?,247547, HS-grad,9, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n45, Private,123219, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, Private,165950, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,21, United-States, <=50K.\n28, Private,182509, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n39, Private,27408, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, United-States, >50K.\n33, Private,110592, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n28, State-gov,175409, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,172822, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,15020,0,48, United-States, >50K.\n21, Private,265361, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n26, State-gov,106491, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n40, Private,179557, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n63, Private,187919, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,45, United-States, <=50K.\n45, Private,196707, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,216129, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n52, Self-emp-not-inc,100480, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n57, Self-emp-not-inc,69905, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,15024,0,40, United-States, >50K.\n38, Private,297767, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,214627, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,45, United-States, >50K.\n52, Private,251908, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,2547,40, United-States, >50K.\n55, Self-emp-inc,304695, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K.\n21, Private,48121, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,125228, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n17, Private,408012, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n57, Private,161642, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n30, Private,181212, Some-college,10, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K.\n48, Self-emp-inc,76482, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Private,295073, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,50, United-States, <=50K.\n45, ?,69596, 10th,6, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n40, Private,262461, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n34, Local-gov,112680, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n35, Private,342642, Masters,14, Married-spouse-absent, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,211968, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Local-gov,153536, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,37, United-States, >50K.\n21, Private,188923, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n30, Private,391114, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Private,45599, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, ?, <=50K.\n37, Private,119929, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,47, United-States, <=50K.\n24, Private,130442, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n41, Private,192602, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,328881, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n37, Private,165034, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2002,40, United-States, <=50K.\n39, Private,93174, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K.\n28, Local-gov,205903, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K.\n24, Self-emp-inc,197496, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K.\n29, Private,226941, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n61, Private,199193, Assoc-acdm,12, Divorced, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,187870, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n56, Private,364899, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,65, United-States, >50K.\n28, Private,437994, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,60, United-States, <=50K.\n24, Private,166827, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n35, Private,207819, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n31, Private,37939, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, <=50K.\n39, Private,77146, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n35, ?,29075, 11th,7, Divorced, ?, Unmarried, Amer-Indian-Eskimo, Female,0,0,6, United-States, <=50K.\n20, Private,167868, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n25, Private,150132, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,365881, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n37, Private,105044, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,145636, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,161547, Bachelors,13, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n34, Federal-gov,77218, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,241126, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,60, United-States, <=50K.\n85, Self-emp-inc,155981, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K.\n71, Self-emp-inc,45741, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,20051,0,30, United-States, >50K.\n23, Private,256356, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n39, State-gov,105803, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K.\n77, Self-emp-inc,29702, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, >50K.\n20, Private,107882, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n40, Private,77572, Some-college,10, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n34, Private,209768, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K.\n33, Private,89360, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,5178,0,55, United-States, >50K.\n34, Self-emp-not-inc,227540, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,60, India, <=50K.\n36, Private,292570, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,3325,0,40, United-States, <=50K.\n36, Private,409189, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Local-gov,194901, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2057,70, United-States, <=50K.\n26, Local-gov,219796, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,43, United-States, <=50K.\n37, State-gov,117166, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, <=50K.\n42, Private,228320, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,5178,0,45, United-States, >50K.\n38, Private,236391, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n48, Private,193451, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,223367, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Private,33001, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,173858, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7688,0,35, China, >50K.\n33, Private,240441, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n26, Private,160264, 11th,7, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n25, Private,230403, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n61, Private,154536, 10th,6, Widowed, Craft-repair, Unmarried, Black, Female,0,2001,40, United-States, <=50K.\n44, Self-emp-not-inc,247024, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n65, Self-emp-inc,410199, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,35, United-States, >50K.\n23, Private,191878, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,38, ?, <=50K.\n67, State-gov,54269, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K.\n37, Private,205997, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,47343, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,70, United-States, >50K.\n35, Federal-gov,403489, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n48, Private,232149, Bachelors,13, Divorced, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K.\n50, ?,339547, Some-college,10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,50, ?, <=50K.\n36, Private,186819, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,89991, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,35, United-States, <=50K.\n32, Private,112139, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K.\n18, Private,244571, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n36, Private,220696, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n50, Private,135102, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n24, Private,209417, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,60, United-States, >50K.\n43, Private,199689, Bachelors,13, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,20, United-States, <=50K.\n27, Private,240172, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n17, ?,94492, 10th,6, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n29, Private,188564, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K.\n19, Private,264527, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n38, Private,189922, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n64, Private,182044, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n31, Self-emp-not-inc,271173, Some-college,10, Never-married, Craft-repair, Own-child, Black, Male,4650,0,40, United-States, <=50K.\n30, Private,203034, Assoc-voc,11, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,100734, Bachelors,13, Married-civ-spouse, Exec-managerial, Other-relative, White, Female,0,0,40, Greece, >50K.\n33, Private,169269, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, Puerto-Rico, >50K.\n59, Private,24244, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,132222, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n27, Private,199118, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,4865,0,40, United-States, <=50K.\n34, Private,223212, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Peru, <=50K.\n27, Private,284859, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,112854, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,35, United-States, <=50K.\n41, Federal-gov,92968, Masters,14, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n36, Private,181553, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K.\n25, Private,266668, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,20, United-States, <=50K.\n33, Private,29144, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n26, Self-emp-not-inc,389856, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n42, Private,111589, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,232938, Some-college,10, Never-married, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K.\n45, Private,103540, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K.\n59, Private,249814, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n26, Private,30776, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,184779, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Self-emp-not-inc,93449, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K.\n32, Local-gov,178107, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,198956, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Other, Male,0,0,35, United-States, <=50K.\n53, Private,130143, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n47, Private,171807, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, ?,436431, Preschool,1, Married-civ-spouse, ?, Other-relative, White, Female,0,0,40, Mexico, <=50K.\n17, Private,162205, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,15, United-States, <=50K.\n48, Private,97470, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n32, Self-emp-not-inc,158603, Assoc-voc,11, Never-married, Sales, Unmarried, White, Female,0,0,7, United-States, <=50K.\n58, Private,348430, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n72, Private,109385, 1st-4th,2, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,36, United-States, <=50K.\n45, Private,188998, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n41, Private,210591, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n66, Self-emp-not-inc,37170, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,42, United-States, >50K.\n34, Private,169583, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K.\n33, Private,180624, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n47, Private,186311, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n35, Private,106471, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n27, Private,37302, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,91608, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,263896, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n25, Private,335376, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K.\n38, Private,186531, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, State-gov,42706, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K.\n29, Private,180115, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n42, Private,191196, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,209109, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,199224, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n65, State-gov,42488, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,2653,0,8, United-States, <=50K.\n19, Self-emp-not-inc,63574, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,227943, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n54, Private,297551, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K.\n46, Private,343579, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,77, United-States, <=50K.\n34, Private,230246, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,2202,0,99, United-States, <=50K.\n57, Self-emp-not-inc,110199, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K.\n32, Private,178691, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,45, United-States, <=50K.\n36, Self-emp-not-inc,165855, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Germany, <=50K.\n34, Private,27565, Assoc-voc,11, Married-civ-spouse, Craft-repair, Wife, Amer-Indian-Eskimo, Female,0,0,27, United-States, >50K.\n54, Private,220115, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1628,40, United-States, <=50K.\n34, Private,113751, 11th,7, Divorced, Sales, Own-child, Black, Female,0,0,37, United-States, <=50K.\n72, Private,128793, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,36, United-States, <=50K.\n23, Private,97472, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,153064, 5th-6th,3, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,10, Yugoslavia, >50K.\n57, Private,190488, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n22, Local-gov,326283, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K.\n40, Private,61287, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,214288, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,198856, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K.\n51, Federal-gov,914061, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,44, United-States, >50K.\n24, Private,186648, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K.\n49, Private,350759, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n76, ?,197988, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K.\n37, Private,188571, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,112776, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K.\n21, Private,100345, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,53, United-States, <=50K.\n49, Private,291783, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n69, ?,156387, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n38, ?,295166, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K.\n44, Private,132849, Masters,14, Never-married, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n31, Private,300497, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n54, Private,338089, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,104257, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n40, Private,112247, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n41, Federal-gov,73070, Masters,14, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K.\n48, Self-emp-inc,49298, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K.\n51, Local-gov,289390, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K.\n36, Private,219546, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n35, Private,194490, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,358655, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, >50K.\n39, Private,286026, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K.\n55, Private,401473, Masters,14, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n26, Private,197967, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, Local-gov,216647, 10th,6, Divorced, Protective-serv, Unmarried, White, Female,0,0,20, United-States, <=50K.\n70, Self-emp-not-inc,355536, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,24, United-States, <=50K.\n20, Private,193130, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K.\n46, Self-emp-inc,67725, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, <=50K.\n35, Private,209629, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,143964, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n57, Self-emp-inc,249072, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,60, United-States, >50K.\n64, ?,285742, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K.\n63, Self-emp-not-inc,130221, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n21, Federal-gov,201815, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,30, United-States, <=50K.\n43, Local-gov,67243, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K.\n35, Private,202263, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n21, Private,122048, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,29, United-States, <=50K.\n23, Private,231866, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,38, United-States, <=50K.\n35, Private,211440, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n28, Private,25955, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n61, ?,274499, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,305474, 10th,6, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Haiti, <=50K.\n73, Local-gov,222702, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,5, United-States, <=50K.\n33, State-gov,120460, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,31657, Assoc-voc,11, Separated, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K.\n19, Private,327079, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, Private,234633, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,47, United-States, <=50K.\n27, Private,203776, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,45, United-States, >50K.\n24, Self-emp-inc,242138, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n19, Private,276937, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n36, Private,117528, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n41, Self-emp-not-inc,171351, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n43, Private,138471, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Local-gov,329341, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K.\n57, Private,62539, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,1876,38, United-States, <=50K.\n58, Private,265579, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Private,218215, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n39, Federal-gov,116369, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K.\n24, Private,403107, Preschool,1, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n29, State-gov,103389, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,4787,0,40, United-States, >50K.\n26, State-gov,624006, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,344094, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n67, Self-emp-inc,147377, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n49, Private,90579, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,5013,0,50, United-States, <=50K.\n47, Private,91972, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,35, United-States, >50K.\n59, Self-emp-not-inc,275236, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K.\n23, Private,340432, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,158592, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,50, United-States, >50K.\n48, Private,278303, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n33, Self-emp-not-inc,300681, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, ?, <=50K.\n37, Private,160192, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,6849,0,80, United-States, <=50K.\n29, Private,148429, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n24, Private,210474, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n41, Private,510072, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n21, Self-emp-not-inc,328906, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,4865,0,35, United-States, <=50K.\n26, Private,247196, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K.\n54, Private,178839, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,40, England, >50K.\n60, Private,178764, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K.\n38, Private,218490, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,44047, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Local-gov,125268, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n37, Local-gov,76845, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, ?, <=50K.\n37, Local-gov,484475, Bachelors,13, Never-married, Other-service, Not-in-family, Black, Male,0,0,60, United-States, <=50K.\n22, Private,114357, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n33, Private,219619, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K.\n22, ?,33016, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Local-gov,319205, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n54, ?,389182, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,60, Germany, <=50K.\n34, Private,262118, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n50, Private,141340, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,189703, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, United-States, <=50K.\n41, ?,307589, Bachelors,13, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,5, Philippines, <=50K.\n29, Private,116531, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,142621, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Self-emp-inc,327573, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,24896, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n36, Private,69251, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n38, Private,91716, 11th,7, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,93717, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n38, Self-emp-not-inc,111499, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n41, ?,193537, Assoc-acdm,12, Divorced, ?, Unmarried, White, Female,0,0,10, Dominican-Republic, <=50K.\n24, Private,307267, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n52, Private,249196, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n64, ?,201700, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,188644, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, Mexico, <=50K.\n32, Private,255004, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n34, Private,100145, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K.\n18, Private,183274, 11th,7, Never-married, Other-service, Own-child, White, Female,594,0,30, United-States, <=50K.\n45, Self-emp-not-inc,44671, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,354351, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,346189, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n49, Private,304864, Some-college,10, Divorced, Tech-support, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n68, Self-emp-inc,505365, Bachelors,13, Separated, Sales, Unmarried, White, Male,0,0,70, Canada, <=50K.\n18, State-gov,268520, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n27, State-gov,210295, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,103339, 10th,6, Never-married, Sales, Own-child, White, Female,0,1719,16, United-States, <=50K.\n33, Private,145437, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n48, Private,56071, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n34, Private,233729, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,50, United-States, >50K.\n41, Private,265932, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n74, Private,154347, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n40, Private,277507, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,1669,40, United-States, <=50K.\n53, Federal-gov,172898, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n47, Private,182655, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,52, United-States, >50K.\n20, ?,175431, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n30, Private,181460, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,37, United-States, <=50K.\n38, Private,149771, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K.\n44, Private,45363, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,44, United-States, >50K.\n48, Private,180010, Some-college,10, Separated, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K.\n36, ?,103886, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K.\n20, Private,233198, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Federal-gov,124974, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n61, ?,29059, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K.\n34, Private,136331, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n43, Private,106900, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Self-emp-not-inc,314464, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n51, State-gov,152810, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n50, State-gov,76728, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,39, United-States, <=50K.\n42, Private,55854, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,36801, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,18, United-States, <=50K.\n51, ?,243631, HS-grad,9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,2105,0,20, South, <=50K.\n46, Local-gov,155654, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Private,173987, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K.\n18, Private,115725, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n21, Private,154556, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, ?, <=50K.\n33, Self-emp-not-inc,234976, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K.\n27, Private,122913, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Local-gov,187411, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K.\n31, Private,193285, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, ?,96219, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,50, United-States, <=50K.\n20, Private,117767, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-inc,81534, HS-grad,9, Never-married, Sales, Unmarried, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n22, Private,202125, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n40, Local-gov,225660, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, State-gov,203279, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,20, India, <=50K.\n40, Self-emp-not-inc,151960, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,38, United-States, <=50K.\n48, Private,368561, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,37, United-States, >50K.\n30, Private,202046, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n61, Private,197286, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n49, Self-emp-not-inc,285570, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n22, Private,380899, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,325217, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,32, United-States, <=50K.\n26, Private,111058, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K.\n27, State-gov,162312, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,50, South, <=50K.\n41, Self-emp-inc,136986, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Federal-gov,97654, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,229116, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K.\n43, Private,159549, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K.\n29, Private,195760, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K.\n44, Self-emp-inc,277788, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Portugal, >50K.\n37, State-gov,120201, Some-college,10, Divorced, Adm-clerical, Own-child, Other, Female,0,0,40, United-States, <=50K.\n24, Private,236601, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,2339,43, United-States, <=50K.\n65, ?,94809, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,219757, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Local-gov,160728, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n39, Private,308945, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,50, United-States, <=50K.\n47, Self-emp-not-inc,185859, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,3103,0,60, United-States, >50K.\n47, ?,163748, Masters,14, Divorced, ?, Unmarried, White, Female,0,0,35, ?, <=50K.\n51, State-gov,48358, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,52, United-States, >50K.\n38, Federal-gov,77792, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,56, United-States, <=50K.\n44, Private,114753, Some-college,10, Widowed, Tech-support, Unmarried, White, Female,0,0,38, United-States, <=50K.\n24, Private,234259, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n41, Private,152617, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n51, Private,204567, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n60, Self-emp-not-inc,145209, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n40, Private,240698, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n72, ?,195181, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K.\n27, Private,299536, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,55, United-States, <=50K.\n36, Private,238802, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K.\n44, Private,150519, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n33, State-gov,237903, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Self-emp-not-inc,257940, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Private,383670, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K.\n44, Private,179666, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,259727, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n52, Federal-gov,277772, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,67198, Assoc-acdm,12, Widowed, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K.\n41, Private,22419, 9th,5, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,84, United-States, <=50K.\n42, Private,99373, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n54, Federal-gov,147629, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,35, United-States, >50K.\n31, Self-emp-not-inc,145714, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K.\n30, Private,49358, 12th,8, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K.\n21, Private,214956, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,30, United-States, <=50K.\n29, Private,66172, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Local-gov,136749, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n27, ?,258231, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,35, ?, <=50K.\n19, Private,43937, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n33, Self-emp-not-inc,114639, 11th,7, Never-married, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K.\n72, Self-emp-not-inc,104090, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Scotland, <=50K.\n21, Private,137510, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, Germany, <=50K.\n23, Private,123586, Some-college,10, Never-married, Adm-clerical, Own-child, Other, Male,0,0,25, United-States, <=50K.\n45, Private,293628, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, Philippines, >50K.\n37, Federal-gov,239409, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K.\n37, Self-emp-inc,593246, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, >50K.\n36, Private,30269, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,7298,0,32, United-States, >50K.\n31, Private,48456, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n63, Private,153894, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,24, Puerto-Rico, <=50K.\n24, Private,182117, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,28, United-States, <=50K.\n29, Private,231148, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n53, Private,184176, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n40, Self-emp-not-inc,29702, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,85, United-States, <=50K.\n40, Private,276759, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, >50K.\n36, Private,179731, HS-grad,9, Never-married, Priv-house-serv, Other-relative, White, Female,0,0,20, ?, <=50K.\n64, Private,234570, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,143485, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n20, Private,143062, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Private,146516, Some-college,10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,48, United-States, <=50K.\n19, ?,180395, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,36, United-States, <=50K.\n32, Private,108256, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n25, Private,211392, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n26, Federal-gov,271243, 12th,8, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, Haiti, <=50K.\n25, Local-gov,197822, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,167678, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Dominican-Republic, >50K.\n30, Private,30101, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n46, Local-gov,232220, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n29, ?,212588, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,53, United-States, <=50K.\n35, Private,306156, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n30, Self-emp-not-inc,70985, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, <=50K.\n58, Private,185459, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,91141, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,8, United-States, <=50K.\n42, Private,347653, Bachelors,13, Divorced, Other-service, Unmarried, White, Male,0,0,60, United-States, <=50K.\n31, Private,189759, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n46, Private,272792, Bachelors,13, Divorced, Craft-repair, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n27, ?,95708, 11th,7, Divorced, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n71, ?,111712, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K.\n32, Private,132767, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n62, Self-emp-not-inc,162245, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K.\n78, Self-emp-not-inc,152148, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K.\n54, ?,186565, Masters,14, Divorced, ?, Not-in-family, White, Male,0,0,1, United-States, <=50K.\n22, Private,193385, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n31, Private,185778, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n32, Private,162370, Masters,14, Separated, Prof-specialty, Not-in-family, White, Female,0,0,35, Iran, <=50K.\n38, Private,340763, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,2339,47, United-States, <=50K.\n77, Private,148949, 10th,6, Married-civ-spouse, Other-service, Husband, Black, Male,3818,0,30, United-States, <=50K.\n62, Self-emp-not-inc,147393, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K.\n33, Local-gov,187203, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n40, Local-gov,147206, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n65, Private,228182, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,177426, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K.\n32, ?,161288, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K.\n32, Private,133530, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K.\n45, Private,117849, 11th,7, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K.\n70, Private,132670, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,9386,0,4, United-States, >50K.\n38, Self-emp-inc,98360, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n37, Private,226500, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n30, Private,35644, Assoc-voc,11, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n34, Private,49325, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n19, Private,142738, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,14084,0,20, United-States, >50K.\n54, Self-emp-not-inc,207841, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n32, Private,269355, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,50, United-States, >50K.\n32, Self-emp-inc,190290, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,209034, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n35, Private,174571, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n28, Private,198583, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,35, United-States, <=50K.\n28, Private,128055, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n41, Private,319271, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,91857, HS-grad,9, Divorced, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K.\n21, Private,376416, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Local-gov,323829, HS-grad,9, Divorced, Protective-serv, Other-relative, White, Male,0,0,45, United-States, <=50K.\n22, Private,209646, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,6, United-States, <=50K.\n28, State-gov,90872, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n52, Private,287454, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K.\n23, Private,208946, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Local-gov,130805, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,99, United-States, >50K.\n23, Private,247090, 9th,5, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,55, United-States, <=50K.\n21, Private,249150, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K.\n57, Private,187138, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,166497, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,60, United-States, >50K.\n50, Private,155433, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n45, State-gov,164593, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, ?, <=50K.\n37, Private,211168, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,35, United-States, <=50K.\n24, Self-emp-not-inc,162688, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Local-gov,185072, Bachelors,13, Separated, Prof-specialty, Unmarried, Black, Female,0,0,40, Jamaica, >50K.\n50, Private,154153, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n58, Self-emp-not-inc,166258, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n31, Self-emp-not-inc,190650, Masters,14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K.\n60, State-gov,165792, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,8, United-States, <=50K.\n61, Private,313170, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,188279, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Thailand, <=50K.\n27, Self-emp-not-inc,209301, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n37, Private,194820, HS-grad,9, Separated, Craft-repair, Unmarried, White, Female,0,0,42, United-States, <=50K.\n36, Private,171393, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K.\n31, Private,268282, 7th-8th,4, Married-civ-spouse, Farming-fishing, Other-relative, White, Male,0,0,35, Mexico, <=50K.\n23, Private,219519, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,30, United-States, <=50K.\n44, State-gov,369131, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,195571, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K.\n57, Private,114686, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,2202,0,44, United-States, <=50K.\n24, Private,356861, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n26, Private,156848, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n66, Private,147766, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n60, Local-gov,134768, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Self-emp-not-inc,156882, Some-college,10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n21, Private,131404, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K.\n32, Self-emp-inc,233727, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,60, United-States, >50K.\n21, ?,216867, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n48, Private,168556, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n63, Private,60459, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n42, Private,212894, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,23, United-States, >50K.\n17, Private,41865, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,5, United-States, <=50K.\n30, Private,175413, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,35, United-States, <=50K.\n33, Private,149902, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n55, Private,180497, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,52, United-States, <=50K.\n39, Self-emp-not-inc,107302, Bachelors,13, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,35, United-States, >50K.\n33, Private,93283, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K.\n34, Self-emp-not-inc,264351, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K.\n59, State-gov,136819, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,8, United-States, >50K.\n32, Self-emp-not-inc,295010, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n62, Private,291904, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, Black, Female,0,0,20, United-States, <=50K.\n21, Self-emp-inc,225442, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n57, State-gov,170108, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K.\n19, Private,193859, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,2176,0,35, Germany, <=50K.\n38, Local-gov,326701, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, >50K.\n38, State-gov,196373, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n20, Private,258730, HS-grad,9, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, United-States, <=50K.\n24, Private,190293, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Local-gov,170263, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,30, United-States, >50K.\n24, Private,300275, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, State-gov,255254, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,37, United-States, <=50K.\n51, Private,166461, 11th,7, Divorced, Machine-op-inspct, Unmarried, Black, Female,5455,0,40, United-States, <=50K.\n27, Private,96219, HS-grad,9, Divorced, Other-service, Own-child, White, Female,3418,0,32, United-States, <=50K.\n38, Self-emp-inc,186845, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,99697, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, Private,143069, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n53, Private,117674, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K.\n35, Private,261504, HS-grad,9, Married-spouse-absent, Transport-moving, Other-relative, White, Female,0,0,40, Dominican-Republic, <=50K.\n37, Private,29660, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Private,202560, Assoc-acdm,12, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, >50K.\n27, Private,178713, 11th,7, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n34, Private,100734, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n24, Private,112009, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K.\n69, Private,144056, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,70209, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n19, Private,143816, Some-college,10, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,30, United-States, <=50K.\n23, ?,164732, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n30, State-gov,714597, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,45, United-States, <=50K.\n71, Private,187703, Assoc-voc,11, Widowed, Prof-specialty, Unmarried, White, Female,11678,0,38, United-States, >50K.\n53, Private,418901, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K.\n22, Private,169188, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n47, Private,70554, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K.\n28, Private,31801, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,50, United-States, >50K.\n25, Self-emp-not-inc,195000, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,215392, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298,0,45, United-States, >50K.\n33, Private,97723, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n41, Private,121012, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n19, Private,218956, 12th,8, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,171003, 7th-8th,4, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K.\n20, Self-emp-inc,154782, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K.\n27, ?,132372, HS-grad,9, Never-married, ?, Unmarried, White, Female,0,0,40, ?, <=50K.\n18, ?,151404, 11th,7, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n53, Private,816750, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,72, United-States, >50K.\n67, Private,92943, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,21, United-States, <=50K.\n47, ?,104489, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K.\n55, Self-emp-not-inc,218456, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, Hungary, <=50K.\n39, Private,301614, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,307134, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, <=50K.\n37, State-gov,106347, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n36, Private,127961, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n32, Self-emp-inc,206297, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n20, Private,171156, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n31, Private,104729, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,35, Mexico, <=50K.\n47, Private,85109, Some-college,10, Never-married, Sales, Not-in-family, White, Male,13550,0,45, United-States, >50K.\n25, Private,199143, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Private,110371, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,250782, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,281574, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,6849,0,43, United-States, <=50K.\n28, Private,147889, 10th,6, Married-AF-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n36, Private,298753, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n55, Private,248841, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n51, Self-emp-inc,274948, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n22, Private,41763, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, <=50K.\n27, ?,176683, Some-college,10, Never-married, ?, Own-child, White, Male,0,1719,40, United-States, <=50K.\n37, Private,385251, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,145964, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n61, Private,33460, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n46, State-gov,121586, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Federal-gov,112008, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Germany, <=50K.\n24, Private,163053, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n21, ?,34446, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K.\n33, Self-emp-not-inc,147201, Bachelors,13, Separated, Prof-specialty, Own-child, Black, Male,0,0,35, United-States, <=50K.\n60, Private,491214, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n36, Private,102729, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, >50K.\n37, ?,70282, HS-grad,9, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n48, Self-emp-inc,216214, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K.\n43, Private,212206, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n53, Local-gov,235567, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Private,356410, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,99999,0,40, United-States, >50K.\n26, Private,223558, HS-grad,9, Never-married, Tech-support, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n63, Federal-gov,160473, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Private,150999, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K.\n41, Private,230961, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n71, Private,169114, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Male,0,1429,40, United-States, <=50K.\n39, Private,301070, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K.\n23, Private,163687, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,180419, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, Private,114828, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,4, United-States, <=50K.\n44, Private,208606, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n19, Private,165977, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n28, Private,110408, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n41, Private,266047, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,176124, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,144063, 10th,6, Never-married, Craft-repair, Unmarried, White, Male,0,0,75, United-States, <=50K.\n29, Self-emp-inc,446724, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n59, Private,357118, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,102388, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K.\n27, Private,191515, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n31, Private,94413, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,3325,0,40, United-States, <=50K.\n42, Federal-gov,32627, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,45, United-States, >50K.\n37, Private,218249, 11th,7, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n38, Private,308798, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n24, Private,199005, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n29, State-gov,108432, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,149218, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n26, Private,552529, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K.\n43, Private,222596, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Poland, >50K.\n31, Private,168961, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n37, Private,206951, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,386236, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, Mexico, <=50K.\n20, Private,196388, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,25, United-States, <=50K.\n32, Private,162675, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, Cuba, <=50K.\n38, Private,187847, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n39, Private,186934, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K.\n75, ?,27663, 7th-8th,4, Separated, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n27, Private,180271, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K.\n35, Private,215503, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, Canada, <=50K.\n40, Private,110862, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n28, Private,197905, Some-college,10, Widowed, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K.\n25, Private,355124, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,2001,40, Mexico, <=50K.\n29, Self-emp-not-inc,109621, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,194995, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,137136, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,55, United-States, <=50K.\n47, Private,67229, 11th,7, Divorced, Transport-moving, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n44, Private,197033, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Local-gov,187746, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,3325,0,25, United-States, <=50K.\n40, Private,98211, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,54298, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K.\n48, Self-emp-not-inc,49275, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1485,50, United-States, <=50K.\n22, Private,237386, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n40, Private,67243, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,168191, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,2, Italy, <=50K.\n25, Private,132327, Some-college,10, Separated, Adm-clerical, Other-relative, Other, Female,0,0,40, Ecuador, <=50K.\n17, Private,175109, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n61, State-gov,224638, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,128487, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n30, Private,179747, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n46, Private,195416, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,44, United-States, >50K.\n37, Private,176949, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n31, Private,114691, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n27, State-gov,122540, Some-college,10, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n36, Private,93461, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,30, United-States, <=50K.\n45, Private,54098, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n22, Private,333838, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,174789, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n70, Private,227515, 10th,6, Widowed, Transport-moving, Unmarried, White, Female,0,0,40, Greece, <=50K.\n45, Federal-gov,391585, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,50, United-States, >50K.\n23, Private,83315, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,10, United-States, <=50K.\n22, Private,213310, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n47, Private,127303, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,255476, 5th-6th,3, Never-married, Other-service, Other-relative, White, Male,0,0,35, Mexico, <=50K.\n40, Private,320451, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K.\n33, Private,454717, Some-college,10, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,374474, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n19, Private,78401, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n58, Private,168887, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n55, Private,254711, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, >50K.\n23, Private,196678, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n53, Private,217201, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,45, United-States, >50K.\n24, Private,160398, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,30, United-States, <=50K.\n43, Private,288829, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,42, United-States, >50K.\n20, Private,185706, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n22, Private,201615, Assoc-acdm,12, Never-married, Adm-clerical, Other-relative, White, Female,0,0,37, United-States, <=50K.\n48, Private,157092, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n45, Private,130561, 11th,7, Never-married, Sales, Not-in-family, Black, Female,0,0,35, United-States, <=50K.\n33, Private,202450, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,303942, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Local-gov,339346, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,10520,0,60, United-States, >50K.\n21, ?,234838, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n42, Private,38389, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,147548, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n62, Self-emp-not-inc,116626, Doctorate,16, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n46, Local-gov,110110, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,65, United-States, >50K.\n44, Private,230478, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K.\n28, Private,398220, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n38, Self-emp-not-inc,187346, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n59, Self-emp-not-inc,175827, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,211494, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,1980,55, United-States, <=50K.\n59, Private,105745, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K.\n55, Private,237428, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,1504,40, United-States, <=50K.\n40, Private,200766, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,14344,0,40, United-States, >50K.\n22, State-gov,24896, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n35, Private,107164, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n42, Private,202083, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Canada, <=50K.\n45, State-gov,53768, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,70, United-States, <=50K.\n48, Private,159577, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n76, ?,209674, 7th-8th,4, Divorced, ?, Not-in-family, White, Female,0,0,7, United-States, <=50K.\n21, Private,309348, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,18, United-States, <=50K.\n31, Private,206046, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n65, Self-emp-not-inc,227531, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n46, Self-emp-not-inc,135339, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,45, India, >50K.\n18, Private,155503, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n65, Self-emp-not-inc,176835, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,7978,0,40, United-States, <=50K.\n18, Private,163067, Some-college,10, Never-married, Protective-serv, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Private,212607, Some-college,10, Never-married, Adm-clerical, Unmarried, Other, Female,0,0,44, Puerto-Rico, <=50K.\n53, Self-emp-inc,162381, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K.\n34, Private,195890, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n33, Federal-gov,49358, 10th,6, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n28, Private,136077, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, <=50K.\n43, Private,119297, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,48947, Assoc-voc,11, Widowed, Other-service, Unmarried, White, Female,0,0,13, United-States, <=50K.\n49, Self-emp-not-inc,32825, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n21, State-gov,82847, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n61, Private,119684, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K.\n54, Private,264143, 9th,5, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,24, United-States, <=50K.\n45, Private,30690, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n24, Private,113631, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,366889, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,393962, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n48, Private,165484, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,0,65, United-States, >50K.\n40, Federal-gov,90737, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1887,40, United-States, >50K.\n34, Private,379798, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n29, Private,190911, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,72887, 11th,7, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K.\n65, Private,192309, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n58, Self-emp-not-inc,98361, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,121253, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Female,0,0,29, United-States, <=50K.\n56, State-gov,270859, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,48, United-States, >50K.\n26, Self-emp-not-inc,223705, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, Columbia, <=50K.\n45, Private,125892, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K.\n37, Self-emp-not-inc,202683, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n58, ?,99131, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,7298,0,40, United-States, >50K.\n56, Private,197577, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Without-pay,43627, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K.\n37, Private,175185, Assoc-voc,11, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, Private,377405, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n24, Private,47541, Masters,14, Never-married, Transport-moving, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n36, Private,218729, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,30, United-States, >50K.\n26, Local-gov,197430, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n57, Private,259010, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,84, United-States, <=50K.\n49, Private,121124, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n21, ?,334593, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,374764, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n59, Private,192845, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,144524, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n31, Self-emp-inc,136402, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,255847, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K.\n29, Private,177955, 9th,5, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,24, El-Salvador, <=50K.\n35, Private,151835, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K.\n18, Private,65098, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K.\n27, Self-emp-not-inc,328119, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, Mexico, <=50K.\n55, Private,125147, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n52, Private,62834, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,20, United-States, >50K.\n51, State-gov,230095, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K.\n41, Federal-gov,348059, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K.\n34, Private,425622, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K.\n25, Local-gov,336320, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,225809, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n80, Private,216073, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, United-States, <=50K.\n27, Private,267912, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,52, Mexico, <=50K.\n28, Private,108706, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K.\n43, Private,575172, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,32, United-States, >50K.\n18, Private,311489, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,26, United-States, <=50K.\n46, Private,189123, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, United-States, >50K.\n42, Private,95998, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n50, Self-emp-inc,177487, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K.\n30, Private,213002, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,14, United-States, <=50K.\n55, Private,272723, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n58, Private,84231, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,475322, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,1617,35, United-States, <=50K.\n25, Private,120268, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,1741,40, United-States, <=50K.\n22, ?,60331, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n59, Private,172618, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,56, United-States, <=50K.\n36, State-gov,173273, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n25, Private,52921, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n19, Private,210364, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n34, Private,87310, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,2174,0,40, United-States, <=50K.\n51, Private,332489, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, Germany, >50K.\n31, Private,100333, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n21, Private,216867, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, ?,177974, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,292110, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n39, Federal-gov,219137, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,159589, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2051,40, United-States, <=50K.\n38, Private,186815, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, <=50K.\n21, Private,22149, HS-grad,9, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K.\n22, Private,228724, Assoc-voc,11, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, State-gov,187392, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,105930, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n53, State-gov,182907, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n68, Private,322025, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,5, United-States, <=50K.\n21, Private,263886, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K.\n34, Local-gov,362775, 10th,6, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0,0,30, United-States, <=50K.\n53, Private,96062, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n59, ?,191665, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,2205,40, United-States, <=50K.\n32, Self-emp-not-inc,159322, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,1980,80, United-States, <=50K.\n33, Local-gov,163867, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K.\n34, Self-emp-not-inc,136204, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,32, United-States, >50K.\n61, Private,160431, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n46, Private,163324, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n32, ?,161309, Prof-school,15, Married-civ-spouse, ?, Wife, White, Female,15024,0,50, United-States, >50K.\n26, Private,208881, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n37, Self-emp-not-inc,183127, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n41, Private,192225, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n59, Local-gov,222081, Bachelors,13, Never-married, Prof-specialty, Other-relative, Black, Female,0,0,35, United-States, <=50K.\n28, Private,183627, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n39, Private,187921, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, <=50K.\n25, Private,25497, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,4101,0,40, United-States, <=50K.\n45, Private,353824, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,250804, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,385583, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Private,84788, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n54, Private,127704, 7th-8th,4, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n54, ?,99208, Preschool,1, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K.\n45, Private,347993, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, Mexico, <=50K.\n48, Private,175958, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n36, Self-emp-not-inc,278553, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Black, Male,15024,0,75, United-States, >50K.\n49, Private,186009, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,43, United-States, <=50K.\n31, Private,55104, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n65, Local-gov,179411, HS-grad,9, Widowed, Tech-support, Unmarried, White, Female,0,0,35, United-States, <=50K.\n56, Private,68452, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n38, Local-gov,202027, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n70, Private,113401, 10th,6, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,186934, Bachelors,13, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, >50K.\n43, Federal-gov,190020, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n28, Private,198493, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,256448, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,15, United-States, <=50K.\n30, Private,622192, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,6, United-States, <=50K.\n77, Private,133728, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,181824, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,20, United-States, <=50K.\n17, Private,286422, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K.\n59, Private,378585, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K.\n44, Private,121012, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,45, United-States, <=50K.\n33, Private,164864, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,323,40, United-States, <=50K.\n17, Private,74706, 11th,7, Never-married, Priv-house-serv, Own-child, White, Male,0,0,20, United-States, <=50K.\n22, Private,185582, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, >50K.\n43, Private,132633, Some-college,10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, ?, <=50K.\n42, Federal-gov,230438, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1887,40, United-States, >50K.\n26, Private,175540, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Local-gov,115304, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,340269, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,45, United-States, <=50K.\n33, Private,171889, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n52, Private,94873, HS-grad,9, Widowed, Other-service, Unmarried, White, Male,0,0,19, United-States, <=50K.\n34, ?,144194, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K.\n44, Private,141131, 12th,8, Divorced, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0,0,40, South, <=50K.\n25, Private,192735, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,70, United-States, <=50K.\n33, Self-emp-not-inc,238186, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,98, United-States, <=50K.\n23, Private,305609, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,52, United-States, <=50K.\n29, Private,312845, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K.\n21, Private,33884, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, ?,264874, Assoc-voc,11, Never-married, ?, Other-relative, White, Female,0,0,40, ?, <=50K.\n31, State-gov,268832, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K.\n42, Private,99651, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n39, Private,257597, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,42, United-States, <=50K.\n54, Self-emp-inc,195904, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,266497, 9th,5, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n63, Private,287972, Bachelors,13, Widowed, Other-service, Other-relative, Black, Female,0,0,20, United-States, <=50K.\n46, Private,200569, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n62, Local-gov,117292, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,8614,0,45, United-States, >50K.\n64, ?,223075, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n54, Private,175339, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n22, Self-emp-inc,333197, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,2205,45, United-States, <=50K.\n61, Private,53707, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n73, Private,39212, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n52, Private,228500, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,234663, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,60, United-States, <=50K.\n52, ?,88073, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,420040, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,126517, Some-college,10, Separated, Sales, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n31, Private,238002, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, Mexico, <=50K.\n53, State-gov,21412, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,147804, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n19, Private,222445, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n36, Private,126675, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n42, Private,301080, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n45, Private,382532, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n33, Private,232356, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n26, Private,167350, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,50, United-States, <=50K.\n28, ?,375703, HS-grad,9, Divorced, ?, Other-relative, Black, Female,0,1721,40, United-States, <=50K.\n33, Private,252708, 12th,8, Never-married, Sales, Other-relative, White, Female,0,0,40, Mexico, <=50K.\n33, Private,186824, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,176101, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,175121, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n17, Private,355850, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,1602,15, United-States, <=50K.\n45, Private,180931, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n45, State-gov,30219, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n41, Federal-gov,350387, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, India, >50K.\n24, Private,194247, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n57, Private,137653, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n48, Private,131762, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n31, Self-emp-not-inc,283587, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n33, Self-emp-inc,218164, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,55, United-States, >50K.\n41, Private,287581, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, United-States, >50K.\n41, Private,281725, 5th-6th,3, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Mexico, <=50K.\n63, Private,50120, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1573,25, United-States, <=50K.\n39, Private,156667, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,18, United-States, <=50K.\n28, Private,566066, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,45, United-States, <=50K.\n42, Private,121352, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, ?, >50K.\n18, Private,260977, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n22, Private,90860, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n42, Private,218302, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n47, Private,170142, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Local-gov,171889, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Female,0,0,43, United-States, <=50K.\n34, Private,193172, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n18, Private,164134, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,10, United-States, <=50K.\n66, Private,204283, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n51, ?,81169, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,38, United-States, <=50K.\n39, Private,92143, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,55, United-States, >50K.\n35, Private,181099, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n56, State-gov,102791, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n46, Local-gov,364548, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,42, United-States, >50K.\n21, Self-emp-inc,153516, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n58, Self-emp-not-inc,189528, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,84, United-States, <=50K.\n66, Local-gov,154171, Some-college,10, Widowed, Machine-op-inspct, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n25, Private,90752, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n57, Private,278763, Assoc-voc,11, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,47, United-States, <=50K.\n28, Private,253581, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,59660, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K.\n57, Self-emp-not-inc,170988, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n18, ?,160984, 11th,7, Never-married, ?, Own-child, White, Female,0,0,6, United-States, <=50K.\n24, Private,493732, 1st-4th,2, Never-married, Farming-fishing, Own-child, White, Female,0,0,40, Mexico, <=50K.\n36, Private,325802, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Private,196344, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Guatemala, <=50K.\n32, State-gov,316589, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n35, Self-emp-inc,365739, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n40, Private,309990, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Private,241852, 12th,8, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n41, Private,184105, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n50, Private,134680, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,274545, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n36, Private,207853, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,65, United-States, >50K.\n25, Private,284061, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n62, Private,186446, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,43, United-States, <=50K.\n22, Private,255575, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n52, Federal-gov,302661, Assoc-acdm,12, Widowed, Exec-managerial, Unmarried, White, Male,13550,0,40, United-States, >50K.\n52, Private,148509, 10th,6, Married-spouse-absent, Prof-specialty, Other-relative, Asian-Pac-Islander, Male,0,0,45, ?, <=50K.\n48, Private,211239, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,60, United-States, >50K.\n70, Private,50468, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,3175,15, United-States, <=50K.\n41, Private,316820, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K.\n21, Private,145964, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,60, United-States, >50K.\n39, Private,185084, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K.\n29, Private,183111, Assoc-voc,11, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K.\n28, Private,63042, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K.\n31, Private,339738, HS-grad,9, Married-civ-spouse, Transport-moving, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n23, Private,273049, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K.\n54, State-gov,239256, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n73, Self-emp-not-inc,110102, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Male,0,1668,77, United-States, <=50K.\n29, State-gov,165764, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,35, United-States, <=50K.\n22, Private,152744, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,10, United-States, <=50K.\n57, Local-gov,212303, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n41, Self-emp-not-inc,118544, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K.\n39, Private,269548, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,70, Mexico, <=50K.\n25, State-gov,319303, Some-college,10, Divorced, Other-service, Unmarried, White, Male,0,2472,40, United-States, >50K.\n74, Without-pay,216001, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K.\n45, Private,205816, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K.\n18, Private,427437, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K.\n24, Private,198259, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, Private,54314, 9th,5, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n32, Private,195744, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Local-gov,294547, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n50, Private,77521, 11th,7, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, Private,288158, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,125010, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K.\n32, Private,80945, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Nicaragua, >50K.\n21, Private,33016, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,25, United-States, <=50K.\n42, Private,388725, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K.\n37, Local-gov,347136, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K.\n53, Self-emp-inc,158294, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,99999,0,75, United-States, >50K.\n34, Private,362787, 10th,6, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n29, Private,39388, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n55, Private,322691, Masters,14, Widowed, Exec-managerial, Own-child, White, Male,0,0,62, United-States, >50K.\n29, Private,31659, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,2202,0,45, United-States, <=50K.\n70, Private,176940, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n26, Local-gov,189027, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,98719, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n58, Private,172238, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K.\n23, ?,170456, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,5, United-States, <=50K.\n27, Private,129009, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n17, Private,247580, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,18, United-States, <=50K.\n29, Private,204516, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,52, United-States, <=50K.\n26, Private,192652, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n31, Private,336543, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,45, United-States, >50K.\n29, ?,143938, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n22, Private,272591, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n28, Local-gov,312372, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n28, Local-gov,172270, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n20, Private,342414, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,24, United-States, <=50K.\n58, Private,123886, HS-grad,9, Never-married, Sales, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n23, Private,398130, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,96, United-States, <=50K.\n34, Private,142989, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,331539, HS-grad,9, Never-married, Craft-repair, Not-in-family, Other, Male,0,0,40, United-States, <=50K.\n19, Private,225156, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n18, ?,311863, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Local-gov,170682, 11th,7, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,32, United-States, <=50K.\n21, Private,96178, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n20, ?,37932, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n49, Private,198126, 7th-8th,4, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,344275, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, ?, >50K.\n37, Private,112497, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n36, Private,178487, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,1669,40, United-States, <=50K.\n44, Private,55395, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Local-gov,131239, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,104772, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3908,0,40, United-States, <=50K.\n53, Private,427320, Bachelors,13, Divorced, Other-service, Not-in-family, Black, Male,3325,0,40, United-States, <=50K.\n34, ?,73296, 11th,7, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n24, Private,216853, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,37, United-States, <=50K.\n40, Private,259757, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n47, Private,200734, HS-grad,9, Separated, Priv-house-serv, Not-in-family, Black, Female,0,0,50, Nicaragua, <=50K.\n19, ?,87515, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,44, Germany, <=50K.\n18, Private,161245, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K.\n32, Private,262024, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,38, United-States, <=50K.\n21, Private,287681, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K.\n27, Private,303601, 12th,8, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n58, ?,365410, Some-college,10, Separated, ?, Other-relative, White, Female,0,0,99, United-States, <=50K.\n29, Self-emp-not-inc,394356, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,263150, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K.\n45, State-gov,86618, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K.\n43, Private,120277, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,45, United-States, <=50K.\n63, Federal-gov,90393, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K.\n26, Self-emp-inc,79078, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n42, State-gov,197344, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,120998, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n36, Private,37522, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K.\n44, Private,96321, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,217302, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n69, Private,137109, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n40, Private,227823, Assoc-acdm,12, Divorced, Adm-clerical, Own-child, White, Female,0,0,70, United-States, <=50K.\n37, Private,22149, HS-grad,9, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0,0,18, United-States, <=50K.\n39, Private,176900, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n57, Private,154368, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n28, Private,183445, HS-grad,9, Separated, Priv-house-serv, Own-child, White, Female,0,0,40, Guatemala, <=50K.\n23, Private,193537, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K.\n20, Private,313873, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K.\n46, Private,34186, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n44, State-gov,271807, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,16, United-States, <=50K.\n67, ?,46449, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n31, Private,128065, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Private,176486, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n54, Private,191072, Bachelors,13, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n28, Private,34452, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n30, State-gov,123253, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n42, Private,113461, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n17, Private,116267, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,15, Columbia, <=50K.\n32, Private,30433, Bachelors,13, Never-married, Tech-support, Other-relative, White, Female,0,0,72, United-States, <=50K.\n25, Private,198512, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n49, Self-emp-inc,131826, Prof-school,15, Widowed, Prof-specialty, Unmarried, White, Male,99999,0,50, United-States, >50K.\n35, Private,129764, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n32, Private,49398, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K.\n17, Local-gov,292285, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K.\n61, Federal-gov,91726, Masters,14, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K.\n56, Private,178282, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n50, Private,227458, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Male,0,0,51, United-States, <=50K.\n32, Private,183470, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,42, United-States, <=50K.\n41, Private,275446, Some-college,10, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n41, Private,328013, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,65, United-States, <=50K.\n19, Private,382688, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n18, Private,122988, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K.\n25, Private,175537, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n21, Private,256278, HS-grad,9, Never-married, Other-service, Other-relative, Other, Female,0,0,35, El-Salvador, <=50K.\n34, Private,161153, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,48189, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K.\n36, Private,186531, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n19, Private,96866, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K.\n35, Private,117555, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n18, ?,98549, HS-grad,9, Never-married, ?, Own-child, White, Female,0,1602,35, United-States, <=50K.\n39, Private,101782, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,234753, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,34, United-States, >50K.\n59, Private,59469, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n28, Private,614113, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n47, Private,203505, Doctorate,16, Never-married, Prof-specialty, Own-child, White, Female,0,0,23, United-States, <=50K.\n27, Private,128365, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n56, Private,36990, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,52, United-States, >50K.\n18, Private,303240, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n76, ?,217043, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K.\n56, Private,176079, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,15024,0,24, United-States, >50K.\n40, Self-emp-inc,266047, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, >50K.\n39, Self-emp-inc,285890, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, Haiti, >50K.\n24, Private,70261, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, Private,214236, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,143385, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n55, Private,150507, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,292264, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-inc,110861, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n32, Private,225064, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, Private,154120, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Trinadad&Tobago, <=50K.\n17, Private,34465, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,32, United-States, <=50K.\n29, Private,89598, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,2057,35, United-States, <=50K.\n54, Private,183668, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,189382, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,1504,40, United-States, <=50K.\n67, ?,165103, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,2174,50, United-States, >50K.\n48, Private,44216, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n17, Private,150471, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n41, Private,32627, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-not-inc,153109, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,60, United-States, <=50K.\n29, Private,352451, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n43, Private,176716, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K.\n46, Federal-gov,171850, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n42, Private,260496, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K.\n36, Private,154410, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K.\n31, Self-emp-not-inc,23500, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,75, United-States, <=50K.\n60, Private,178312, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,1902,70, United-States, >50K.\n50, Private,62593, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n30, Private,123291, Some-college,10, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,313817, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n57, State-gov,229270, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0,1579,37, United-States, <=50K.\n43, Private,212027, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,38, United-States, <=50K.\n58, Private,259532, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n26, Local-gov,213258, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,316337, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n38, Private,179123, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K.\n26, Private,191765, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Scotland, <=50K.\n59, Self-emp-inc,188877, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,55395, Some-college,10, Married-spouse-absent, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n21, Private,161051, Some-college,10, Never-married, Tech-support, Own-child, Black, Female,0,0,4, United-States, <=50K.\n30, Private,241844, HS-grad,9, Separated, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n36, Private,232142, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,80, United-States, <=50K.\n43, Private,311534, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K.\n68, Self-emp-not-inc,128986, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K.\n18, Private,67019, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n23, Private,208826, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K.\n43, Private,256813, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n44, Private,160919, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K.\n43, Private,107584, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n59, Self-emp-inc,159472, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,408318, 7th-8th,4, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,25, Mexico, <=50K.\n61, Private,194956, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n52, State-gov,21764, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n37, Private,277347, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n57, Private,104455, Some-college,10, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Female,0,0,90, United-States, >50K.\n30, Private,117584, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,20, United-States, <=50K.\n38, Private,131288, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n46, Private,99014, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n22, Private,141003, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n64, Private,344014, Some-college,10, Divorced, Tech-support, Unmarried, Black, Female,0,1741,40, United-States, <=50K.\n45, Private,175600, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n31, Local-gov,240504, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,1902,50, United-States, >50K.\n20, Private,174436, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K.\n29, Private,194869, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n23, Private,164901, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,20, United-States, <=50K.\n62, Private,72886, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,130126, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K.\n42, Self-emp-inc,196514, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,103651, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n25, Private,261419, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K.\n61, Private,206339, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Private,445365, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,227466, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, <=50K.\n49, Private,96854, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n21, Private,163595, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n22, State-gov,181096, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Male,0,0,20, United-States, <=50K.\n24, Private,95984, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n37, Private,472517, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,4, United-States, <=50K.\n46, Local-gov,60751, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,107302, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,106501, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K.\n23, Private,32732, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Self-emp-inc,174789, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n39, Private,301628, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n29, Private,27436, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n24, Private,93977, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Private,139127, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,258231, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Self-emp-not-inc,136309, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n50, Private,266433, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n59, Private,140363, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K.\n58, Private,179715, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,47, United-States, >50K.\n55, Private,204816, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n58, Private,35520, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7688,0,40, United-States, >50K.\n46, Private,101320, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,42, United-States, >50K.\n40, Private,210857, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K.\n40, Self-emp-not-inc,60949, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n57, Local-gov,139095, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n46, Private,233493, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1579,40, United-States, <=50K.\n36, Private,176249, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1590,40, United-States, <=50K.\n29, Private,187746, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n32, Private,49593, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n24, Self-emp-not-inc,240160, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n63, Private,76286, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,40, India, >50K.\n23, Private,65225, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K.\n36, Private,225330, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n31, Private,101562, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, >50K.\n52, Self-emp-not-inc,27539, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688,0,72, United-States, >50K.\n60, Local-gov,227311, 10th,6, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, ?,51260, HS-grad,9, Never-married, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n31, Private,256609, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n35, Local-gov,123939, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Federal-gov,203182, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,2174,0,40, United-States, <=50K.\n38, Private,111128, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Private,112451, HS-grad,9, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n44, ?,177461, Some-college,10, Divorced, ?, Unmarried, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K.\n24, Private,332155, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,20, United-States, <=50K.\n42, Local-gov,178983, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,37, United-States, <=50K.\n54, Private,199392, 5th-6th,3, Divorced, Machine-op-inspct, Other-relative, White, Female,0,0,40, Nicaragua, <=50K.\n19, Private,311015, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,126038, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n21, Private,402124, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,198660, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n26, ?,228457, 11th,7, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Self-emp-inc,223267, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,78, United-States, <=50K.\n22, Self-emp-not-inc,249046, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n45, Self-emp-not-inc,127948, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,154785, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, China, <=50K.\n28, Private,248404, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n31, Private,137978, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,144778, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,133250, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Private,402771, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,23, United-States, <=50K.\n47, ?,97075, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n21, Private,116234, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n25, Local-gov,262818, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, Guatemala, <=50K.\n47, Private,138342, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n50, Private,123374, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n23, Private,202373, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,20, United-States, <=50K.\n54, Self-emp-not-inc,180522, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K.\n24, Local-gov,140647, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,36, United-States, <=50K.\n50, Private,136898, Assoc-voc,11, Widowed, Exec-managerial, Unmarried, White, Female,0,0,55, ?, <=50K.\n29, Private,140927, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,114055, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, White, Female,3325,0,40, United-States, <=50K.\n46, Private,114222, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-inc,51089, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n46, Private,37353, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n36, Local-gov,379672, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,60, United-States, <=50K.\n64, Private,130727, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,2174,0,37, United-States, <=50K.\n51, Private,172046, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n57, Private,228764, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n21, Private,376393, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K.\n53, Private,185283, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n61, Self-emp-not-inc,195789, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K.\n50, Private,243115, HS-grad,9, Married-spouse-absent, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n74, Private,147558, Some-college,10, Divorced, Sales, Not-in-family, White, Female,7262,0,30, United-States, >50K.\n22, State-gov,62865, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n25, Self-emp-not-inc,275197, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n63, Self-emp-not-inc,124015, Masters,14, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n38, Self-emp-inc,282951, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,105253, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K.\n31, Private,119164, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Male,0,0,40, ?, <=50K.\n35, Self-emp-not-inc,263081, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,84, United-States, <=50K.\n54, Private,96062, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,44942, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1848,48, United-States, >50K.\n37, Federal-gov,127879, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K.\n37, Private,109633, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,109404, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n56, Private,126677, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K.\n52, Private,101113, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,66, United-States, >50K.\n40, Private,117523, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, Columbia, <=50K.\n29, Private,183523, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K.\n46, Self-emp-not-inc,311231, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,459556, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,50, United-States, <=50K.\n37, Private,95551, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n36, Private,126675, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n32, Private,200246, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n53, Private,108435, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Italy, <=50K.\n18, Private,141332, 11th,7, Never-married, Sales, Own-child, Black, Male,0,0,8, United-States, <=50K.\n48, Private,117310, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K.\n26, Private,182380, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n64, ?,226878, Masters,14, Married-civ-spouse, ?, Wife, Black, Female,9386,0,50, Jamaica, >50K.\n49, Private,123807, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n41, Private,109539, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Local-gov,38455, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n56, Private,294209, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n33, Private,130215, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,35, ?, <=50K.\n29, Private,285294, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n29, Private,168221, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,288907, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,4787,0,40, United-States, >50K.\n26, Private,391349, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n32, Private,170276, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,46, United-States, >50K.\n33, Private,117963, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,55, United-States, <=50K.\n54, Local-gov,68015, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n20, ?,285208, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n33, Private,181091, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,16, United-States, <=50K.\n44, Self-emp-not-inc,53956, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,57, United-States, <=50K.\n47, Federal-gov,198223, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n90, Self-emp-not-inc,83601, Prof-school,15, Widowed, Prof-specialty, Not-in-family, White, Male,1086,0,60, United-States, <=50K.\n26, Self-emp-not-inc,201579, 5th-6th,3, Never-married, Prof-specialty, Unmarried, White, Male,0,0,14, Mexico, <=50K.\n44, Private,137367, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Thailand, <=50K.\n33, Private,227325, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Male,0,0,60, Scotland, <=50K.\n28, Private,129814, Some-college,10, Separated, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K.\n26, Private,193050, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,18, United-States, <=50K.\n33, Private,204557, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,165743, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Self-emp-not-inc,48935, Some-college,10, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,30, United-States, <=50K.\n70, Private,177906, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,6514,0,40, United-States, >50K.\n18, Private,93985, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n20, Private,148351, 7th-8th,4, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, ?, <=50K.\n65, Local-gov,172646, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,145409, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K.\n48, Private,548568, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n47, Private,117849, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,320425, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K.\n25, Private,158734, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n59, Private,168416, HS-grad,9, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female,0,0,36, Poland, <=50K.\n63, Self-emp-not-inc,33487, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, >50K.\n34, Private,205072, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n44, Private,210525, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,32948, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n48, Self-emp-inc,196689, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,87032, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Self-emp-inc,325159, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,52131, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,266439, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,15, United-States, <=50K.\n22, Private,61850, Masters,14, Never-married, Sales, Other-relative, White, Female,0,0,21, United-States, <=50K.\n19, Private,163015, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,20, United-States, <=50K.\n25, Private,225135, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Self-emp-inc,109001, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,60, United-States, <=50K.\n33, Private,45796, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,214987, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n19, Private,311974, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K.\n48, Private,77404, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n43, Private,153132, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n42, Self-emp-not-inc,64631, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n63, Private,151364, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,25, United-States, <=50K.\n25, Private,87487, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,50, United-States, <=50K.\n41, Self-emp-not-inc,200479, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K.\n66, Private,30740, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n59, Private,153484, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n29, Local-gov,214385, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,35, United-States, <=50K.\n29, ?,565769, Preschool,1, Never-married, ?, Not-in-family, Black, Male,0,0,40, South, <=50K.\n44, Self-emp-not-inc,92162, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,210945, 11th,7, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n41, Private,63105, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, >50K.\n44, Private,185602, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n37, Self-emp-inc,329980, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K.\n70, Local-gov,111712, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,22, United-States, <=50K.\n25, Local-gov,48317, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n42, Private,84661, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K.\n47, Private,121622, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n21, Private,37514, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K.\n72, Private,174993, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n56, Private,159472, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Local-gov,195635, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Private,108282, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n63, Private,55946, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,123306, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,284250, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n60, Private,113443, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n23, Private,309178, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,69236, Some-college,10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K.\n34, Local-gov,182926, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,126675, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,187693, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n56, Private,41100, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n53, State-gov,261839, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,97197, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n29, Private,260645, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n56, Private,116878, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Portugal, >50K.\n49, ?,227690, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,199411, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,194813, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n47, Private,177087, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,2444,50, United-States, >50K.\n44, Self-emp-not-inc,242434, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,27828,0,60, United-States, >50K.\n27, Private,399123, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,1719,40, United-States, <=50K.\n47, Private,216999, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n47, Private,47270, 12th,8, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n42, Federal-gov,122215, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n26, Private,37898, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n38, Private,61343, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,32533, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K.\n30, Private,296897, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n29, Private,201101, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n41, Private,155293, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n40, Private,101593, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, State-gov,104908, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n54, Self-emp-not-inc,139023, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,429832, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n32, Private,352542, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n64, Private,29559, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n61, Local-gov,205711, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, >50K.\n49, Private,160706, 11th,7, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n59, Federal-gov,101626, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n29, Private,245226, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n39, Private,118286, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K.\n22, Private,187703, Assoc-voc,11, Never-married, Other-service, Other-relative, White, Male,0,0,40, Guatemala, <=50K.\n49, Private,289707, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, <=50K.\n32, Private,68330, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, <=50K.\n33, Private,118786, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1590,40, United-States, <=50K.\n45, Private,203785, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,32732, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K.\n54, Local-gov,204567, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,131808, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,80, United-States, >50K.\n22, Private,33272, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n55, Private,117477, 11th,7, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,40, Jamaica, <=50K.\n36, Self-emp-not-inc,240191, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,41310,0,90, South, <=50K.\n38, Private,93287, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,127651, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n57, Private,222477, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,8, United-States, >50K.\n23, Private,345734, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n30, Private,111567, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,108293, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K.\n34, Private,424988, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n38, Local-gov,94529, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,3103,0,50, United-States, >50K.\n42, Private,163322, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n52, Local-gov,181132, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1887,40, United-States, >50K.\n32, Private,140092, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n29, Private,131913, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n74, Private,175945, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,28, United-States, <=50K.\n48, Private,247053, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Self-emp-not-inc,226203, 12th,8, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K.\n23, Private,205865, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2179,60, United-States, <=50K.\n22, Local-gov,200109, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K.\n53, Private,175029, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n20, Private,55465, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,36989, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K.\n23, Private,255685, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,25, United-States, <=50K.\n30, Private,180765, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K.\n34, Self-emp-not-inc,180607, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K.\n39, Private,48063, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,32, United-States, <=50K.\n37, State-gov,159491, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n28, Private,167789, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n23, Private,124971, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, State-gov,61710, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n32, Private,127895, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K.\n23, Private,390348, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,44, Japan, <=50K.\n25, Private,205337, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n52, Private,260954, 10th,6, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n30, ?,331237, HS-grad,9, Separated, ?, Own-child, Black, Female,0,0,20, United-States, <=50K.\n22, Private,177526, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,2907,0,30, United-States, <=50K.\n27, Private,113882, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,4508,0,40, United-States, <=50K.\n32, Private,29144, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n39, Local-gov,124685, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, <=50K.\n18, Private,88440, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,36, United-States, <=50K.\n28, Private,265074, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Local-gov,306985, Masters,14, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,2415,50, United-States, >50K.\n72, Private,181494, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K.\n76, Private,138403, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K.\n35, Private,216473, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n36, Private,143123, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K.\n19, Private,132717, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K.\n23, State-gov,389792, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,30, United-States, <=50K.\n36, Private,359001, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Private,260052, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,15020,0,40, United-States, >50K.\n20, Private,63633, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K.\n64, Self-emp-not-inc,234192, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K.\n53, Local-gov,237523, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n33, Self-emp-not-inc,183778, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,205916, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n31, Private,131633, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Private,33121, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K.\n38, Federal-gov,32899, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,152171, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n46, Local-gov,127441, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n46, Private,23074, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, England, <=50K.\n42, Private,91585, Some-college,10, Widowed, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n18, Private,83451, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n23, Local-gov,219122, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n81, Private,176500, 12th,8, Widowed, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n40, ?,246862, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n35, Private,38468, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,21, United-States, <=50K.\n24, ?,35633, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,11, ?, <=50K.\n19, Private,194608, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K.\n30, Private,269723, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n24, Private,165054, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n24, Private,127537, 9th,5, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n24, Private,326931, 9th,5, Never-married, Transport-moving, Unmarried, Other, Male,0,0,40, El-Salvador, <=50K.\n24, Private,307133, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, ?, <=50K.\n37, Private,371576, Some-college,10, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n50, Private,160400, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,426350, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K.\n26, State-gov,121789, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n18, Private,218183, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n24, Private,91189, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,232190, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K.\n38, Self-emp-not-inc,233033, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n66, Self-emp-inc,74263, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,86, United-States, >50K.\n33, Private,205950, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,213383, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, Private,345577, Some-college,10, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,26, United-States, <=50K.\n20, ?,322144, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,158825, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,14344,0,40, United-States, >50K.\n64, Self-emp-inc,51286, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,6418,0,65, United-States, >50K.\n36, Private,82488, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n31, Federal-gov,40909, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, <=50K.\n23, Private,114939, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K.\n61, Private,221534, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Private,149455, Some-college,10, Separated, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K.\n68, ?,353524, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K.\n30, Private,328734, 10th,6, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n21, Private,112906, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,44, United-States, <=50K.\n27, Private,155038, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n26, Private,100125, Assoc-acdm,12, Divorced, Transport-moving, Unmarried, White, Female,0,0,30, United-States, <=50K.\n26, State-gov,177048, Some-college,10, Married-civ-spouse, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K.\n43, Private,72338, Masters,14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n20, Private,254547, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,35, Outlying-US(Guam-USVI-etc), <=50K.\n20, Local-gov,186213, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,38, United-States, <=50K.\n39, Private,270557, Masters,14, Divorced, Other-service, Not-in-family, White, Female,0,0,50, United-States, >50K.\n48, Private,41411, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n36, Private,116445, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n34, Self-emp-not-inc,247540, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,1974,30, United-States, <=50K.\n37, Private,358753, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K.\n37, Self-emp-not-inc,156897, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,1564,55, United-States, >50K.\n44, Self-emp-not-inc,360879, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1902,80, United-States, >50K.\n51, Private,256051, 11th,7, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,1628,40, United-States, <=50K.\n34, Private,179877, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n29, Private,266583, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,2829,0,38, United-States, <=50K.\n38, Private,187711, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, >50K.\n34, Local-gov,206707, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K.\n63, Local-gov,80655, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Federal-gov,409464, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n62, Private,235997, 12th,8, Widowed, Adm-clerical, Unmarried, White, Female,0,0,37, Mexico, <=50K.\n20, Private,59948, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,18, United-States, <=50K.\n30, Private,323833, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n53, Private,290290, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,1590,50, United-States, <=50K.\n20, ?,291746, 12th,8, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K.\n77, Private,189173, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K.\n50, State-gov,392668, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,132529, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,68080, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, ?, >50K.\n17, Private,194717, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K.\n43, Private,307767, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,90051, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,3456,0,44, Canada, <=50K.\n77, State-gov,267799, Doctorate,16, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,4, United-States, >50K.\n49, Private,81535, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, >50K.\n26, Self-emp-not-inc,334267, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Self-emp-not-inc,55912, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n36, Private,172706, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,240467, Some-college,10, Separated, Transport-moving, Not-in-family, Black, Female,0,0,40, United-States, >50K.\n23, Private,186006, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,37, United-States, <=50K.\n38, Private,65738, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,192878, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n27, State-gov,413870, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, United-States, <=50K.\n45, Private,176341, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K.\n66, ?,28367, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,117210, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,36, United-States, <=50K.\n21, ?,231286, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,25, Jamaica, <=50K.\n42, Private,188465, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n31, Local-gov,253456, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n54, Private,140592, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n46, Private,171335, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, State-gov,73928, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K.\n24, Private,161415, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,35, United-States, <=50K.\n24, Private,395297, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,30, Japan, <=50K.\n40, State-gov,385357, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K.\n45, State-gov,160599, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,222450, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n61, ?,38603, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n50, Private,178946, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n36, Private,106471, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,341643, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,97952, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K.\n31, Private,111567, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1848,50, United-States, >50K.\n43, Local-gov,201764, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n30, Private,153549, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n44, Local-gov,264016, Bachelors,13, Married-civ-spouse, Prof-specialty, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n42, Private,194636, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n64, State-gov,184271, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n23, Local-gov,49296, Some-college,10, Married-spouse-absent, Prof-specialty, Own-child, Black, Male,0,0,40, United-States, <=50K.\n60, Private,96099, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,4101,0,60, United-States, <=50K.\n18, Self-emp-not-inc,304699, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,40, England, <=50K.\n24, Private,267181, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n40, Private,154076, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n17, Private,98209, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K.\n33, Private,92003, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n43, Private,103759, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,269681, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Female,0,0,35, United-States, <=50K.\n25, Private,789600, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n25, Private,152165, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Private,260560, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n40, Self-emp-inc,214781, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,65, United-States, >50K.\n64, Private,207188, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,246258, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Private,101563, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,7430,0,45, United-States, >50K.\n60, Private,69955, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,40, United-States, <=50K.\n25, Private,124111, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,36, ?, <=50K.\n38, Private,237091, Some-college,10, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,36, Peru, <=50K.\n26, Private,318644, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K.\n19, Private,138917, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K.\n31, Private,97405, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,196674, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n25, Private,405281, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n49, Private,186256, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,120277, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n33, Private,161035, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,49, United-States, <=50K.\n34, Private,176244, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Female,0,0,40, Mexico, <=50K.\n54, Private,32454, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n39, Private,346478, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,196158, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n42, Federal-gov,208470, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,215616, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n23, Private,275357, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n23, Self-emp-inc,304871, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n54, Private,99185, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K.\n23, Private,115085, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n58, Private,82050, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n46, Private,123681, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,193152, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n53, Private,309466, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n77, Local-gov,100883, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,8, Canada, <=50K.\n37, Private,32528, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n18, Private,245199, 10th,6, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, Private,72375, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K.\n34, Private,117963, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K.\n45, Private,160440, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n64, Federal-gov,113570, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K.\n58, ?,191830, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,55, United-States, <=50K.\n24, Private,232328, 9th,5, Divorced, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n37, Private,92028, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n48, Private,138342, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,55, United-States, >50K.\n42, Private,197810, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,102142, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,104223, Bachelors,13, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n34, Private,132835, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n31, Self-emp-not-inc,109195, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n33, Private,203463, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Local-gov,33114, 11th,7, Divorced, Handlers-cleaners, Unmarried, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K.\n27, Private,187450, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n36, Private,104213, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n31, Private,257849, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,50490, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,85508, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K.\n54, Self-emp-not-inc,60449, Bachelors,13, Widowed, Sales, Unmarried, White, Male,0,0,60, United-States, <=50K.\n27, Local-gov,131310, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n65, Self-emp-not-inc,158177, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,10605,0,44, United-States, >50K.\n65, Private,115922, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,24, United-States, <=50K.\n21, Private,403471, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,48, United-States, <=50K.\n22, Private,176131, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K.\n32, Private,149531, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Private,262243, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K.\n32, Private,64658, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,127914, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n49, Self-emp-inc,182211, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,48520, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,43, United-States, <=50K.\n20, Private,403118, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,11, United-States, <=50K.\n55, Private,119344, HS-grad,9, Married-civ-spouse, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,334456, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,263110, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n31, Self-emp-not-inc,279015, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K.\n58, Private,195878, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K.\n34, Private,217652, 12th,8, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n65, Federal-gov,44807, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, >50K.\n48, Private,129777, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, ?,195568, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,15, ?, >50K.\n44, Private,227466, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K.\n26, Private,228457, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,247053, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,188669, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n45, Private,40666, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Italy, <=50K.\n57, ?,190514, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Local-gov,404661, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K.\n45, Self-emp-not-inc,39986, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1740,56, United-States, <=50K.\n43, Private,175133, Some-college,10, Divorced, Tech-support, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n62, Private,101375, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Private,256680, Assoc-acdm,12, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K.\n46, State-gov,136878, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n51, Private,106151, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, ?, >50K.\n38, ?,242221, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,38, United-States, <=50K.\n38, Private,101387, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,43, United-States, <=50K.\n51, Private,196828, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,38, United-States, >50K.\n20, ?,195075, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n22, Private,333910, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,22, United-States, <=50K.\n46, Self-emp-not-inc,103540, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n67, Self-emp-not-inc,36876, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,158651, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K.\n24, Private,196943, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,184583, Some-college,10, Divorced, Other-service, Unmarried, White, Male,0,0,59, United-States, <=50K.\n33, Private,244817, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,386726, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K.\n56, Self-emp-inc,373593, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, Italy, >50K.\n27, Private,206199, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n32, Private,93283, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, ?,103628, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,4, India, <=50K.\n21, Local-gov,391936, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K.\n31, Local-gov,168740, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K.\n42, Private,150568, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K.\n19, Private,201178, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n63, Private,75813, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K.\n34, Local-gov,398988, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,18, United-States, <=50K.\n38, Private,158363, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,81961, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n34, Private,170017, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n21, Private,348092, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, Haiti, <=50K.\n27, Private,54861, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,32, United-States, <=50K.\n63, Self-emp-not-inc,74991, HS-grad,9, Widowed, Farming-fishing, Unmarried, White, Male,0,0,60, United-States, <=50K.\n25, Private,106552, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K.\n51, Private,27539, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n50, Private,268913, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Iran, <=50K.\n63, Private,199888, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n53, Private,288216, Some-college,10, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Self-emp-inc,378036, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K.\n41, Private,127314, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K.\n32, Private,115963, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K.\n19, Private,332928, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,178510, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n29, Private,53147, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,37, United-States, <=50K.\n66, Private,115880, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3818,0,40, United-States, <=50K.\n57, Private,375502, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n49, Self-emp-not-inc,155659, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,122240, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,112305, Assoc-voc,11, Never-married, Other-service, Unmarried, White, Female,0,0,10, United-States, <=50K.\n46, Federal-gov,35136, 11th,7, Never-married, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n27, Private,215423, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,16, United-States, <=50K.\n24, Private,116358, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,2339,40, Philippines, <=50K.\n17, Private,171461, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,14, United-States, <=50K.\n32, Private,131584, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n40, Self-emp-inc,29520, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,65, United-States, <=50K.\n35, Local-gov,246463, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n22, Private,32616, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K.\n41, Private,144144, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n75, ?,222789, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,9, United-States, <=50K.\n22, Private,227594, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Local-gov,375606, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,180532, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n50, State-gov,54342, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,208798, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Local-gov,377401, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n36, Self-emp-not-inc,110861, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K.\n42, Private,144594, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,129345, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n28, Private,424340, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K.\n44, Private,187702, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n47, State-gov,293917, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n61, Private,160143, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K.\n50, Private,345450, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n54, State-gov,180881, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n18, Private,102690, 11th,7, Never-married, Machine-op-inspct, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n46, Private,265371, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,167333, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n50, Self-emp-inc,447144, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n32, Private,280077, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n48, Private,143920, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n40, Private,190507, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n34, Self-emp-not-inc,59469, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K.\n31, Private,74501, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n43, Self-emp-inc,215458, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,99999,0,45, United-States, >50K.\n33, Private,281685, Assoc-voc,11, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n62, Private,78273, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n44, Private,105475, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Puerto-Rico, <=50K.\n55, Private,174260, HS-grad,9, Widowed, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Self-emp-inc,149102, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Private,188331, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,15024,0,40, United-States, >50K.\n23, Private,864960, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n63, Private,154526, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,60783, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,186269, HS-grad,9, Never-married, Other-service, Own-child, White, Male,2907,0,35, United-States, <=50K.\n30, Private,398019, 1st-4th,2, Separated, Priv-house-serv, Other-relative, White, Female,0,0,30, Mexico, <=50K.\n50, Federal-gov,237503, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,93762, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,59916, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,203264, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,299119, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n29, Federal-gov,114072, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,46, United-States, >50K.\n18, ?,167875, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,16, United-States, <=50K.\n64, Private,130525, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n58, Private,71283, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, >50K.\n43, Local-gov,85440, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n27, Private,136077, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n40, Private,222434, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, Canada, >50K.\n25, Private,138111, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n27, Private,225746, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Male,0,0,35, United-States, <=50K.\n54, Private,240358, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, Jamaica, <=50K.\n25, Private,139863, 1st-4th,2, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n39, Private,278632, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,71046, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K.\n29, Private,312985, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2129,50, United-States, <=50K.\n49, Federal-gov,276309, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, ?,199116, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2407,0,40, Dominican-Republic, <=50K.\n39, Private,52870, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K.\n51, State-gov,79324, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n50, Private,188882, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Federal-gov,72338, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n23, ?,234108, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n24, Private,113936, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n43, Private,182521, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,15020,0,35, United-States, >50K.\n60, Private,124198, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386,0,84, United-States, >50K.\n20, Private,228960, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n60, Self-emp-not-inc,176360, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n35, Private,178649, Bachelors,13, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,36, Philippines, <=50K.\n41, Private,338740, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n31, Private,205659, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n59, Private,258883, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,196638, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n43, Self-emp-not-inc,95246, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,5, United-States, >50K.\n20, ?,216672, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n25, Private,61956, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,4650,0,45, United-States, <=50K.\n33, Private,157216, Masters,14, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n68, ?,150250, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,1510,30, United-States, <=50K.\n37, Private,112838, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n31, State-gov,158688, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n31, State-gov,227864, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n31, Private,173858, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,1902,40, China, <=50K.\n51, Private,30012, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,80, United-States, <=50K.\n20, ?,50163, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n50, State-gov,143822, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K.\n19, ?,497414, 7th-8th,4, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,35, Mexico, <=50K.\n30, Private,235109, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, Private,339196, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n61, Private,181028, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,18, United-States, <=50K.\n43, Private,59460, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n21, Private,97212, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,2001,25, United-States, <=50K.\n32, Private,103642, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,70447, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,60, United-States, <=50K.\n27, Private,321456, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,10, Germany, <=50K.\n23, Private,126613, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K.\n52, Self-emp-not-inc,149508, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, >50K.\n38, Private,332154, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, United-States, >50K.\n18, ?,471876, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n25, Private,140669, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,107164, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n39, Private,225707, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Cuba, <=50K.\n64, Self-emp-inc,56588, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,70, United-States, <=50K.\n31, Self-emp-inc,183125, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,99, United-States, >50K.\n56, Private,177368, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,45, United-States, >50K.\n40, Private,218653, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,191137, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n50, Private,181585, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n23, Private,142566, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,220821, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K.\n37, Private,280966, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,153155, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, United-States, >50K.\n29, Private,195446, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Private,77884, 1st-4th,2, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n41, Private,99373, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,118729, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K.\n25, Private,108414, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,198366, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,20, United-States, <=50K.\n42, Private,238384, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,36, United-States, <=50K.\n27, Private,214695, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n33, Private,120420, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,186934, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n29, Self-emp-not-inc,100368, 9th,5, Widowed, Other-service, Unmarried, White, Female,0,0,27, United-States, <=50K.\n49, Private,723746, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K.\n67, ?,427422, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,2414,0,16, United-States, <=50K.\n44, Private,54271, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,189680, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, >50K.\n49, Private,230796, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, State-gov,195843, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K.\n41, Private,109912, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,15024,0,50, England, >50K.\n19, Private,42069, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,335950, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,70, United-States, <=50K.\n45, Private,163174, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,40, United-States, >50K.\n24, Private,81145, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n67, Local-gov,312052, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K.\n28, Private,209934, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K.\n22, ?,269221, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n57, Private,322691, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n68, Private,99849, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,28, United-States, <=50K.\n23, ?,213004, Some-college,10, Never-married, ?, Own-child, White, Female,0,1719,30, United-States, <=50K.\n49, Private,182313, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,201505, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n61, Self-emp-not-inc,227119, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,202395, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,170583, 11th,7, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n58, State-gov,21838, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K.\n50, Self-emp-inc,68898, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K.\n34, Private,226702, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n59, ?,168079, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,35, United-States, <=50K.\n42, Self-emp-inc,173628, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n20, Private,164529, 11th,7, Never-married, Farming-fishing, Own-child, Black, Male,0,0,40, United-States, <=50K.\n27, Self-emp-not-inc,301514, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K.\n50, Private,194580, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n63, Private,165611, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K.\n32, Private,96480, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, State-gov,224700, Assoc-voc,11, Divorced, Protective-serv, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n63, Self-emp-not-inc,141962, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n22, Private,377815, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K.\n24, Private,271379, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n40, Private,421837, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,77953, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n30, Self-emp-not-inc,345122, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Male,0,0,50, United-States, <=50K.\n38, ?,172855, 11th,7, Divorced, ?, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n34, Private,87131, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Guatemala, <=50K.\n21, Private,328906, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n56, Private,21626, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,43, United-States, <=50K.\n38, Private,143909, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n32, Private,178835, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n45, Private,94809, Some-college,10, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n64, Local-gov,172768, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Self-emp-inc,204742, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n32, Self-emp-inc,144949, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K.\n26, Private,195562, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,56482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,30, United-States, >50K.\n55, Federal-gov,36314, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,72, United-States, <=50K.\n51, Self-emp-not-inc,329980, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,8, United-States, >50K.\n62, Local-gov,103344, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Local-gov,169708, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n54, Local-gov,249949, Some-college,10, Divorced, Exec-managerial, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,186934, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,692831, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,48, United-States, <=50K.\n17, Private,154078, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K.\n22, Private,91733, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n67, Self-emp-inc,325373, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K.\n43, Self-emp-not-inc,160369, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n57, Local-gov,196126, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,120053, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,35, United-States, <=50K.\n19, Private,204337, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n34, Private,128016, HS-grad,9, Never-married, Tech-support, Other-relative, White, Female,0,0,40, United-States, <=50K.\n50, ?,199301, Assoc-voc,11, Never-married, ?, Unmarried, Black, Female,0,0,16, United-States, <=50K.\n33, Private,49027, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Private,192022, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n40, Private,147099, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,5, United-States, <=50K.\n32, Private,334744, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n25, Private,207621, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n29, Private,194458, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-inc,184245, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Mexico, >50K.\n34, Private,242704, HS-grad,9, Never-married, Tech-support, Own-child, Black, Male,0,0,40, United-States, <=50K.\n21, ?,278130, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, Private,251073, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,153209, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,360879, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,115066, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,409172, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n63, Private,223637, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,50, United-States, <=50K.\n36, Private,161141, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n34, Private,535869, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,30, United-States, <=50K.\n60, Federal-gov,49921, 9th,5, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n23, Private,335067, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n47, Self-emp-inc,209460, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,40, United-States, >50K.\n20, Private,355236, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,16, United-States, <=50K.\n50, Private,240374, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n29, Private,221428, 12th,8, Married-civ-spouse, Sales, Own-child, Other, Male,0,0,35, United-States, <=50K.\n37, Private,356250, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K.\n20, Private,356347, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n50, Private,245356, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n31, Self-emp-not-inc,247088, HS-grad,9, Separated, Craft-repair, Own-child, Black, Male,0,0,50, United-States, <=50K.\n27, ?,200381, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Private,300333, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Dominican-Republic, >50K.\n38, Private,109594, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,70, United-States, >50K.\n24, Local-gov,221480, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n29, Private,433624, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,179681, Assoc-voc,11, Married-spouse-absent, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K.\n21, Local-gov,136208, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,48, United-States, <=50K.\n64, Private,159715, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,10566,0,40, United-States, <=50K.\n33, Private,164683, HS-grad,9, Never-married, Transport-moving, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Private,152307, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,256908, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,227943, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n75, ?,33673, Masters,14, Widowed, ?, Not-in-family, Amer-Indian-Eskimo, Male,0,0,26, United-States, <=50K.\n26, Private,116991, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n64, Private,96076, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n32, Self-emp-inc,201314, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n17, Private,153021, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n34, State-gov,334422, Some-college,10, Divorced, Protective-serv, Unmarried, Black, Male,0,0,47, United-States, <=50K.\n37, Private,160192, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n72, ?,51216, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,14, United-States, <=50K.\n47, Private,323212, Some-college,10, Separated, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n45, Self-emp-inc,179030, Bachelors,13, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,35, South, <=50K.\n23, Private,129345, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n36, Private,31023, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n62, Self-emp-inc,164616, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K.\n34, Federal-gov,121093, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,53, United-States, >50K.\n36, Private,300373, 10th,6, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n35, Private,95708, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,7688,0,60, United-States, >50K.\n36, State-gov,235779, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,114158, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n54, Private,192226, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n38, Private,166416, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,211215, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n26, Private,157617, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K.\n44, Private,96170, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K.\n26, Private,224045, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n42, Private,350550, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n37, Self-emp-not-inc,114719, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K.\n26, Private,124111, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n36, Private,250224, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, Black, Female,0,0,40, United-States, <=50K.\n19, ?,232060, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n44, Private,195258, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n23, Private,285775, HS-grad,9, Never-married, Protective-serv, Other-relative, White, Male,0,0,42, United-States, <=50K.\n27, Private,146687, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,76128, HS-grad,9, Divorced, Craft-repair, Not-in-family, Other, Male,0,0,60, Ecuador, <=50K.\n28, Private,241607, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,273675, HS-grad,9, Married-spouse-absent, Other-service, Other-relative, Black, Female,0,0,35, Puerto-Rico, <=50K.\n29, Private,210867, 11th,7, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n41, Private,144752, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K.\n34, Private,185820, HS-grad,9, Married-civ-spouse, Sales, Wife, Black, Female,0,0,40, United-States, <=50K.\n42, Private,252518, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, ?, <=50K.\n30, Private,123833, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,291569, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, <=50K.\n37, Private,638116, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,32, United-States, <=50K.\n46, Private,269045, 11th,7, Widowed, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n46, Private,102852, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,195447, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n27, Private,173944, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n25, Private,276728, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Female,0,0,43, United-States, <=50K.\n21, State-gov,173534, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, Ecuador, <=50K.\n23, Private,198368, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, Private,27620, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n46, Local-gov,192235, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n27, Private,467936, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, Mexico, <=50K.\n25, Private,264136, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n61, Self-emp-not-inc,184009, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,2444,50, United-States, >50K.\n50, Private,165001, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n66, Private,123484, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n26, Private,123384, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K.\n50, Self-emp-inc,235307, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K.\n41, Private,238384, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n43, Self-emp-not-inc,171351, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K.\n38, State-gov,162424, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,333838, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K.\n58, Private,100303, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K.\n41, Federal-gov,58447, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K.\n43, Local-gov,317185, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K.\n39, Private,103323, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1669,40, United-States, <=50K.\n22, Private,221694, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n52, Private,214091, HS-grad,9, Widowed, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n35, ?,171062, Bachelors,13, Never-married, ?, Not-in-family, Black, Male,0,0,40, England, <=50K.\n46, Private,278200, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,187592, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n55, Private,188382, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K.\n48, Private,65584, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n22, ?,117789, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n30, Private,402089, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n40, Private,69730, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Private,34218, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n55, Federal-gov,54566, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,698039, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,28, United-States, <=50K.\n57, ?,76571, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n57, Private,133201, 7th-8th,4, Divorced, Craft-repair, Unmarried, White, Male,0,1408,40, France, <=50K.\n47, Federal-gov,146786, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n46, ?,96154, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n64, State-gov,143880, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,132397, 12th,8, Never-married, Other-service, Own-child, Black, Female,0,0,18, United-States, <=50K.\n28, ?,45613, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,136226, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Self-emp-not-inc,334291, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n33, Private,183017, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,32, United-States, <=50K.\n66, Private,207917, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Black, Male,1797,0,20, United-States, <=50K.\n65, ?,136431, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,9386,0,40, United-States, >50K.\n37, Private,80303, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n19, Private,210509, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K.\n37, ?,48915, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n41, Private,91316, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,205670, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n76, Private,25319, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n52, Private,264129, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,40165, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, Japan, <=50K.\n43, Federal-gov,79529, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K.\n32, Private,164519, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n33, Private,184178, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,35, United-States, <=50K.\n33, State-gov,427812, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, Mexico, <=50K.\n59, Self-emp-not-inc,172618, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n21, Private,472861, 11th,7, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n40, Private,114157, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Self-emp-not-inc,104164, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n45, Self-emp-not-inc,180680, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n28, Private,300915, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,43, United-States, >50K.\n38, Private,308171, Some-college,10, Separated, Tech-support, Unmarried, Black, Female,0,0,50, United-States, <=50K.\n56, Private,320833, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n42, ?,167710, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,18, United-States, <=50K.\n19, Private,228577, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,36, United-States, <=50K.\n48, Self-emp-not-inc,221464, 11th,7, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K.\n31, Self-emp-not-inc,213307, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,28, Mexico, <=50K.\n42, Private,165815, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,248919, 1st-4th,2, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,66, Mexico, <=50K.\n23, ?,116934, 10th,6, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n60, Self-emp-not-inc,285365, Some-college,10, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,50, United-States, <=50K.\n63, Private,134960, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Scotland, <=50K.\n24, Private,449101, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, Private,46019, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,5178,0,50, United-States, >50K.\n71, ?,161027, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, >50K.\n32, State-gov,19513, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Japan, <=50K.\n57, Self-emp-not-inc,258121, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n56, Private,242782, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,44, United-States, <=50K.\n65, ?,193365, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K.\n42, Private,182402, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,50, United-States, >50K.\n24, Private,254767, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,112115, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n58, Private,117299, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,214781, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n33, Private,197474, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K.\n24, ?,234791, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,25, United-States, <=50K.\n34, Local-gov,126584, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n72, Self-emp-not-inc,28865, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,14, United-States, <=50K.\n61, Private,163729, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,218407, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, Columbia, >50K.\n58, Private,95428, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n57, Self-emp-inc,146103, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,30, United-States, >50K.\n25, Private,150312, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n72, Private,76206, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,16, United-States, <=50K.\n23, Private,340543, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,125461, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,218015, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n49, Private,178160, Assoc-acdm,12, Widowed, Sales, Not-in-family, White, Female,0,0,40, Germany, <=50K.\n25, Private,169905, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,226629, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n28, Private,180313, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, ?,236276, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n71, Private,124901, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n63, Local-gov,214275, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,55, United-States, <=50K.\n49, Local-gov,371886, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, >50K.\n65, Private,282779, Masters,14, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, >50K.\n22, Private,218415, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,0,0,50, United-States, <=50K.\n45, Private,105431, HS-grad,9, Divorced, Farming-fishing, Unmarried, Black, Female,0,0,39, United-States, <=50K.\n32, ?,373231, Some-college,10, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n29, Private,59792, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K.\n44, Private,75742, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n64, Private,186731, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n22, Private,310197, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n64, Private,73413, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n39, Private,175232, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,338948, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n22, Private,95647, 11th,7, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n43, Self-emp-inc,677398, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n26, Self-emp-not-inc,263300, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, <=50K.\n47, Federal-gov,218325, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K.\n37, Local-gov,156261, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K.\n25, Private,165817, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n41, Private,304605, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n39, Self-emp-not-inc,245361, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K.\n45, Federal-gov,230685, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n18, ?,184502, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,30, United-States, <=50K.\n37, Local-gov,116736, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,178952, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n34, Private,156266, 11th,7, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K.\n22, Private,163519, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K.\n18, Private,296090, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n22, Private,119742, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n55, Private,269763, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,10, United-States, <=50K.\n56, Private,287833, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K.\n19, ?,190093, 12th,8, Never-married, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n74, Self-emp-inc,148003, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,6, United-States, >50K.\n18, Private,131414, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n39, Private,172571, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Local-gov,184440, 12th,8, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,36, United-States, <=50K.\n28, Private,216479, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,293475, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Federal-gov,109982, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,205033, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n32, Local-gov,56658, HS-grad,9, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n58, Private,159008, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K.\n28, Private,37302, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Local-gov,107417, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,236379, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n51, Private,57637, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n51, Private,276214, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,113749, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,100837, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2002,66, United-States, <=50K.\n45, Private,239058, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n19, Private,286419, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K.\n52, ?,50934, Assoc-acdm,12, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, >50K.\n21, Private,283969, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Mexico, <=50K.\n76, Private,152839, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K.\n46, Local-gov,32290, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,204373, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n51, Private,126528, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n19, Private,245408, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n30, State-gov,127610, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n46, Private,132919, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,12, United-States, >50K.\n68, Private,58547, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1735,48, United-States, <=50K.\n36, Private,251091, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n71, Private,149950, HS-grad,9, Widowed, Priv-house-serv, Unmarried, White, Female,0,0,20, United-States, <=50K.\n32, Private,464621, Some-college,10, Never-married, Farming-fishing, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n43, Private,170230, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n33, Private,100294, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n24, Local-gov,234108, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,33046, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K.\n76, Private,84428, Some-college,10, Widowed, Sales, Not-in-family, Asian-Pac-Islander, Female,2062,0,37, United-States, <=50K.\n35, Self-emp-not-inc,107662, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,5, Canada, <=50K.\n23, Private,220874, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, Local-gov,88564, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-inc,144778, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n17, ?,179861, 10th,6, Never-married, ?, Own-child, White, Male,0,0,10, Poland, <=50K.\n30, Private,166671, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K.\n51, Private,97180, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K.\n18, Self-emp-not-inc,194091, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,24, United-States, <=50K.\n23, Private,308498, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,18, United-States, <=50K.\n53, Federal-gov,321865, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,181814, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n44, Private,374423, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1902,40, United-States, >50K.\n49, Private,213668, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,213236, HS-grad,9, Separated, Other-service, Unmarried, White, Male,0,0,40, Dominican-Republic, <=50K.\n58, Self-emp-not-inc,115439, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,124111, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K.\n32, Private,176185, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,4787,0,40, United-States, >50K.\n26, Private,211231, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n25, Private,259715, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n19, Private,248600, 10th,6, Never-married, Other-service, Other-relative, White, Female,34095,0,24, United-States, <=50K.\n39, Private,153997, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,1902,40, Puerto-Rico, >50K.\n44, Private,67779, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n32, Private,236861, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K.\n57, Private,367334, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n64, Private,213391, 9th,5, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K.\n46, Local-gov,301124, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,45, United-States, >50K.\n37, Private,184117, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n22, Private,233923, Assoc-voc,11, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n30, Private,348592, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Local-gov,111817, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,170983, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Self-emp-not-inc,121407, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,35, United-States, <=50K.\n40, Local-gov,210275, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n21, Private,116358, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n48, Private,189123, Masters,14, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,48087, Bachelors,13, Divorced, Machine-op-inspct, Not-in-family, White, Male,2354,0,40, United-States, <=50K.\n37, Private,179488, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Local-gov,370990, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n49, Private,169760, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K.\n38, State-gov,34493, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n61, Private,185584, Bachelors,13, Widowed, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0,0,40, ?, <=50K.\n44, Private,324311, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,32, Mexico, <=50K.\n62, Self-emp-not-inc,96299, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,147322, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Columbia, <=50K.\n35, Private,135289, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n44, State-gov,128586, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, State-gov,185590, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n28, Self-emp-not-inc,107458, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K.\n57, Private,151874, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,50, United-States, <=50K.\n26, State-gov,413846, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,203836, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, >50K.\n44, Self-emp-not-inc,110028, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,57640, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n40, State-gov,67874, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,58, United-States, <=50K.\n50, Self-emp-not-inc,169112, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K.\n37, Self-emp-inc,154410, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n26, Private,63234, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,4508,0,12, United-States, <=50K.\n64, Private,121036, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, >50K.\n30, Private,408328, Preschool,1, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n29, Private,269254, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,115438, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K.\n28, Private,332249, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n33, State-gov,160261, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n24, Private,167316, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n26, State-gov,291586, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n77, Self-emp-not-inc,184046, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n25, Federal-gov,178025, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,9, United-States, <=50K.\n53, Private,104280, 12th,8, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n38, Private,302604, 11th,7, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K.\n30, Private,225243, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,47, United-States, >50K.\n39, Self-emp-not-inc,327120, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K.\n51, Self-emp-not-inc,43878, Doctorate,16, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K.\n25, ?,40915, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n49, Self-emp-inc,83444, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,85, United-States, >50K.\n51, Private,351416, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,117310, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,1876,48, United-States, <=50K.\n36, Private,324231, 9th,5, Never-married, Farming-fishing, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n62, Private,161802, 1st-4th,2, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0,0,30, United-States, <=50K.\n40, Self-emp-not-inc,184804, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,2205,45, United-States, <=50K.\n30, Federal-gov,547931, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n39, Private,46395, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Local-gov,182313, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Local-gov,169069, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,203182, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n57, Private,142924, Bachelors,13, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n33, Private,180656, 5th-6th,3, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Guatemala, <=50K.\n58, Private,187485, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,24, United-States, <=50K.\n84, ?,157778, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,6, United-States, <=50K.\n46, Self-emp-not-inc,149337, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n23, Private,97054, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n32, Private,377017, Bachelors,13, Never-married, Sales, Other-relative, White, Male,0,0,32, United-States, <=50K.\n43, Private,106900, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,378723, 10th,6, Separated, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K.\n23, Private,209955, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,312766, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n59, Private,70857, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,238917, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, El-Salvador, <=50K.\n50, State-gov,53497, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,46, United-States, >50K.\n44, Private,283174, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n60, ?,190497, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n56, State-gov,104447, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,2339,40, United-States, <=50K.\n36, Private,73023, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,2202,0,40, United-States, <=50K.\n20, Private,177896, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,349951, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4508,0,55, United-States, <=50K.\n29, Private,80179, HS-grad,9, Separated, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n32, State-gov,308955, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K.\n36, Private,126896, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,35, United-States, <=50K.\n19, State-gov,116385, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,18, United-States, <=50K.\n37, State-gov,172425, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n22, Private,106615, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,15, United-States, <=50K.\n42, Private,261929, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n22, Private,163870, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K.\n35, Self-emp-inc,242080, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,45, United-States, >50K.\n21, Private,30796, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n43, Self-emp-not-inc,207578, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K.\n22, ?,140001, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n18, Private,217942, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K.\n28, Private,301010, 11th,7, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n20, ?,222007, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,24, United-States, <=50K.\n32, Private,72630, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,3325,0,45, United-States, <=50K.\n49, Local-gov,204377, 11th,7, Divorced, Other-service, Own-child, White, Female,0,0,60, United-States, <=50K.\n38, Local-gov,189614, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n21, Private,100345, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,163687, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K.\n34, Local-gov,174215, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,35, United-States, >50K.\n32, Private,37646, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n33, Private,84154, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, <=50K.\n41, Private,116493, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,52, United-States, <=50K.\n38, Private,259972, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n58, State-gov,185338, Bachelors,13, Widowed, Tech-support, Unmarried, White, Female,0,0,40, United-States, >50K.\n44, Private,99212, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, United-States, <=50K.\n61, Private,54780, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,393673, Some-college,10, Never-married, Tech-support, Other-relative, White, Female,0,0,40, United-States, <=50K.\n36, Private,66687, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n44, Private,133986, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, Private,248694, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,212888, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n51, Self-emp-inc,304955, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K.\n23, Private,172232, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,53, United-States, <=50K.\n59, Private,32446, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,182701, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,12, Mexico, <=50K.\n23, Private,164920, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,15, Germany, <=50K.\n24, Private,274424, HS-grad,9, Never-married, Tech-support, Unmarried, White, Female,1831,0,40, United-States, <=50K.\n57, Private,176904, 10th,6, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n28, Private,217530, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n59, Private,318450, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n39, Private,210945, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n26, Private,181838, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n17, Private,91931, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,23, United-States, <=50K.\n45, Self-emp-not-inc,123681, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n64, Local-gov,181628, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, <=50K.\n72, ?,305145, Bachelors,13, Widowed, ?, Not-in-family, White, Male,0,0,4, United-States, <=50K.\n55, Private,174533, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,94342, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,16, United-States, <=50K.\n43, Private,215624, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K.\n46, Self-emp-not-inc,112485, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n54, Private,27484, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,186454, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,4650,0,40, Vietnam, <=50K.\n28, State-gov,187746, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1669,40, United-States, <=50K.\n57, Private,358628, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, Private,295939, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Self-emp-not-inc,127198, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, <=50K.\n48, Private,81497, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,65, United-States, <=50K.\n30, Self-emp-not-inc,143078, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,2444,55, United-States, >50K.\n70, Self-emp-not-inc,177806, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Local-gov,210926, 9th,5, Divorced, Farming-fishing, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n34, Private,195144, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Private,252563, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,170785, 12th,8, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n19, Private,111232, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n59, Private,59584, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n48, Private,148254, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,1902,40, ?, >50K.\n30, Local-gov,19302, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,70, Germany, >50K.\n52, Private,285224, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K.\n43, Private,172256, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K.\n51, State-gov,128260, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K.\n25, Private,156163, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, ?, <=50K.\n31, Private,155914, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,58471, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K.\n29, Private,282389, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n40, Private,117915, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n40, Private,163628, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,287436, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n58, State-gov,139736, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,1741,40, United-States, <=50K.\n28, Local-gov,136643, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n43, Local-gov,180572, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K.\n40, State-gov,148805, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n55, Private,497039, Some-college,10, Divorced, Tech-support, Unmarried, Black, Female,0,0,56, United-States, <=50K.\n18, Private,226956, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K.\n36, Private,157184, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, >50K.\n21, Private,315470, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n45, Private,252079, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n53, Private,138022, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n33, Private,48520, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,346605, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n35, Private,139770, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,29, United-States, <=50K.\n41, Private,209899, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,55844, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n61, Private,215789, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, Private,126913, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n42, State-gov,101950, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n28, Private,451742, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Private,173754, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,350131, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,2339,40, United-States, <=50K.\n32, Private,185820, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n35, Private,176837, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,271282, Bachelors,13, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,56, United-States, <=50K.\n25, ?,420081, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n38, State-gov,142282, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, State-gov,266855, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, >50K.\n36, Private,148143, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n40, State-gov,21189, Bachelors,13, Divorced, Adm-clerical, Other-relative, Black, Female,0,0,32, United-States, <=50K.\n37, Private,110013, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Private,350400, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n51, Private,275507, Some-college,10, Divorced, Sales, Unmarried, Black, Female,0,0,50, United-States, <=50K.\n42, Private,169948, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,80, United-States, >50K.\n41, Private,298161, Assoc-voc,11, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, Cuba, <=50K.\n45, ?,120131, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,25, United-States, <=50K.\n32, State-gov,113129, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, >50K.\n24, Private,201680, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n63, Private,158609, 10th,6, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n67, Self-emp-inc,22313, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,20051,0,40, United-States, >50K.\n36, Private,261012, HS-grad,9, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,50, United-States, <=50K.\n52, Private,104501, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n32, Private,50178, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,65624, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K.\n33, Private,236481, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,10, India, <=50K.\n50, Private,213041, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n55, Private,105127, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, ?,127441, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,42, United-States, <=50K.\n30, Private,210541, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,163512, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,8, Guatemala, <=50K.\n36, Private,170376, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K.\n50, Private,132465, 1st-4th,2, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n45, Private,253827, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K.\n22, Private,186383, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,40, United-States, <=50K.\n34, Private,111985, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n37, Private,152909, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n57, Private,279340, 7th-8th,4, Widowed, Other-service, Unmarried, Black, Female,0,0,29, United-States, <=50K.\n29, Private,154571, Some-college,10, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, ?, <=50K.\n31, Private,270889, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,241731, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n45, ?,256649, Bachelors,13, Married-civ-spouse, ?, Husband, Black, Male,0,0,45, United-States, >50K.\n31, Private,176711, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,359155, HS-grad,9, Separated, Transport-moving, Unmarried, White, Female,0,0,30, United-States, <=50K.\n30, State-gov,103651, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-not-inc,138872, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n50, Private,180195, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K.\n37, Local-gov,175979, Bachelors,13, Divorced, Prof-specialty, Other-relative, White, Female,0,0,60, United-States, <=50K.\n59, Local-gov,53612, Masters,14, Separated, Prof-specialty, Own-child, Black, Female,0,0,35, United-States, <=50K.\n18, Local-gov,28357, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n25, Private,460322, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,43, United-States, <=50K.\n36, Private,182954, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, Dominican-Republic, <=50K.\n17, Private,242871, 10th,6, Never-married, Sales, Own-child, White, Female,594,0,12, United-States, <=50K.\n55, Local-gov,30636, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, United-States, >50K.\n47, Local-gov,274657, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Male,3908,0,40, United-States, <=50K.\n17, ?,179807, 10th,6, Never-married, ?, Own-child, White, Female,0,0,16, United-States, <=50K.\n18, Private,230215, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n46, Federal-gov,260549, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,80, United-States, >50K.\n31, Private,408208, HS-grad,9, Never-married, Craft-repair, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n61, Private,143837, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,203784, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,38, Mexico, <=50K.\n43, Federal-gov,190020, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,666014, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n32, Private,50753, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Federal-gov,197515, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,209476, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n67, Private,192995, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,6723,0,40, United-States, <=50K.\n25, Private,39640, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n33, Private,203488, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n29, Private,125791, Assoc-acdm,12, Never-married, Exec-managerial, Other-relative, White, Female,0,0,38, United-States, <=50K.\n20, Private,167424, Some-college,10, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, United-States, <=50K.\n58, ?,169590, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n56, ?,174533, Bachelors,13, Never-married, ?, Unmarried, White, Female,0,0,20, United-States, <=50K.\n37, Private,474568, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, ?, >50K.\n36, Private,414910, 7th-8th,4, Divorced, Sales, Not-in-family, Other, Female,0,0,35, United-States, <=50K.\n21, Self-emp-inc,95997, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K.\n26, Private,191797, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,16, United-States, <=50K.\n81, ?,143732, 1st-4th,2, Widowed, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n52, Private,65624, Assoc-acdm,12, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n48, Private,352614, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, ?, >50K.\n34, Private,301251, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n47, Private,98524, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,112512, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, >50K.\n37, Local-gov,170861, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n42, Private,244668, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,8614,0,40, Mexico, >50K.\n23, Private,148890, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,25, United-States, <=50K.\n37, Private,149898, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n45, Private,240629, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n28, Federal-gov,19522, Some-college,10, Never-married, Tech-support, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n89, Private,152839, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Local-gov,105788, Masters,14, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,37, United-States, >50K.\n23, Private,314823, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,24, United-States, <=50K.\n20, ?,287681, 5th-6th,3, Never-married, ?, Not-in-family, White, Male,0,0,25, Mexico, <=50K.\n50, ?,313445, HS-grad,9, Separated, ?, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n35, Private,289148, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,166193, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Federal-gov,206857, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,150683, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,42, United-States, <=50K.\n52, Private,155759, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, ?,211459, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n35, Private,191103, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,88856, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,40, United-States, >50K.\n41, Private,193882, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,65, United-States, >50K.\n57, State-gov,222792, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n22, Private,190137, HS-grad,9, Never-married, Sales, Own-child, Other, Male,0,0,40, United-States, <=50K.\n37, Private,174308, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n74, Private,172787, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Male,0,2282,35, United-States, >50K.\n56, Private,146391, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, Ireland, <=50K.\n33, Private,179708, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n31, Local-gov,314375, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,30, United-States, <=50K.\n41, Local-gov,120277, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n26, Private,244906, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n59, Local-gov,251890, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,25, Puerto-Rico, <=50K.\n23, Private,220993, HS-grad,9, Married-civ-spouse, Sales, Not-in-family, Black, Male,0,0,60, United-States, <=50K.\n35, Private,309131, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n50, State-gov,263200, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, Ecuador, <=50K.\n52, Self-emp-not-inc,92469, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n31, Private,32406, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K.\n37, Private,235070, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,35, Haiti, <=50K.\n48, Private,196571, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Local-gov,258819, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,33945, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,452640, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n57, Self-emp-not-inc,112772, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n49, Self-emp-not-inc,34845, Assoc-voc,11, Divorced, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n23, Private,119051, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n20, Private,197767, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,36, United-States, <=50K.\n52, Local-gov,181578, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, ?, >50K.\n56, Private,329654, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,7688,0,50, United-States, >50K.\n57, Federal-gov,47534, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, >50K.\n20, Private,341294, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n43, Private,336042, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n41, Self-emp-inc,56019, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999,0,50, India, >50K.\n45, Private,86505, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Private,274106, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, Mexico, <=50K.\n62, Federal-gov,52765, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n19, Self-emp-inc,136848, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,6, United-States, <=50K.\n24, Private,298227, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n19, Self-emp-not-inc,215493, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,20, United-States, <=50K.\n20, ?,197583, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n32, Private,265190, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,96921, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n53, Local-gov,202420, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n45, Private,252616, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,36, China, <=50K.\n39, Private,102976, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n55, Private,70439, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, >50K.\n30, Private,184290, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n39, Federal-gov,72887, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n23, Local-gov,237498, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n28, Self-emp-not-inc,228043, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n42, Private,144056, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K.\n35, Private,187711, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Private,282489, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n29, Private,359155, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,20, United-States, <=50K.\n21, Self-emp-not-inc,87169, HS-grad,9, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0,0,35, United-States, <=50K.\n35, Private,251091, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, Puerto-Rico, <=50K.\n42, Private,130126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,163265, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n57, Private,250040, 7th-8th,4, Divorced, Prof-specialty, Other-relative, White, Female,0,0,20, ?, <=50K.\n59, ?,218764, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n50, Private,176773, Preschool,1, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, Haiti, <=50K.\n37, Self-emp-not-inc,98941, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K.\n20, Private,217467, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,97176, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K.\n28, Private,230503, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, Private,227321, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n20, Private,199698, 9th,5, Never-married, Transport-moving, Unmarried, White, Male,0,0,35, United-States, <=50K.\n38, Local-gov,347491, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,103925, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Germany, <=50K.\n30, Private,124569, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n35, Private,80680, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K.\n30, State-gov,119197, Masters,14, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K.\n56, Private,147055, 9th,5, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,316470, 9th,5, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n64, Private,260082, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Cuba, <=50K.\n21, ?,228960, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n17, ?,256496, 10th,6, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K.\n49, Private,133351, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, Black, Female,0,0,40, United-States, <=50K.\n37, Private,151835, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K.\n52, ?,224793, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n55, Private,101480, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,33, United-States, <=50K.\n24, Private,138719, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K.\n23, Private,129121, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n31, Private,401069, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,39, United-States, <=50K.\n17, ?,188758, 10th,6, Never-married, ?, Own-child, White, Male,0,0,14, United-States, <=50K.\n50, Private,191598, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,1980,38, United-States, <=50K.\n33, Private,330715, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n24, Private,284317, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,393673, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,45, United-States, <=50K.\n31, Self-emp-not-inc,206609, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,0,2205,60, United-States, <=50K.\n77, ?,88545, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K.\n21, Private,224632, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,38, United-States, <=50K.\n18, Private,227529, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,10, United-States, <=50K.\n25, Private,210148, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n57, Private,224174, Assoc-voc,11, Widowed, Craft-repair, Not-in-family, Black, Male,0,0,40, ?, <=50K.\n25, Private,193787, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K.\n62, Self-emp-not-inc,244953, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n35, Private,223749, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,48, United-States, >50K.\n26, Private,37650, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,5060,0,40, United-States, <=50K.\n47, Private,358382, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n25, Private,155275, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,180574, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,101853, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,34161, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n50, Private,83311, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,217125, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K.\n50, Private,166368, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n23, ?,44793, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, ?,123147, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,25, United-States, <=50K.\n51, Private,184529, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K.\n37, Private,224566, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,39, United-States, <=50K.\n25, Private,195994, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n38, Private,186376, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,42, United-States, >50K.\n60, Federal-gov,38749, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999,0,60, Philippines, >50K.\n66, ?,78375, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K.\n74, Private,148867, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,6418,0,24, United-States, >50K.\n37, Private,207066, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K.\n26, Private,339423, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Private,172186, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n19, ?,138564, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,8, United-States, <=50K.\n35, Private,208259, 10th,6, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,36, United-States, <=50K.\n43, Local-gov,203376, Masters,14, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n31, Self-emp-inc,243165, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n35, Self-emp-inc,213008, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n30, Private,159323, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,65, Canada, <=50K.\n22, Private,197050, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n36, Private,166855, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,163072, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,34, United-States, <=50K.\n36, Private,191807, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,75, United-States, <=50K.\n29, State-gov,48634, Bachelors,13, Never-married, Protective-serv, Own-child, White, Female,0,0,40, United-States, <=50K.\n30, Local-gov,287737, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Female,3325,0,40, United-States, <=50K.\n31, Private,162623, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n27, Private,104993, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K.\n44, ?,256211, Assoc-voc,11, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,2129,40, Poland, <=50K.\n17, Private,298605, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K.\n36, Private,115803, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,183342, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n46, Self-emp-not-inc,115971, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,254547, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,20, United-States, <=50K.\n42, Private,211940, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n55, State-gov,136819, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, >50K.\n61, Self-emp-not-inc,186000, Assoc-voc,11, Widowed, Craft-repair, Unmarried, White, Female,0,0,40, Canada, <=50K.\n20, Private,289982, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,10, El-Salvador, <=50K.\n60, Private,137344, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,174413, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n33, Private,186993, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,51, United-States, <=50K.\n67, Self-emp-not-inc,176388, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n34, Private,49469, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n34, Private,83800, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K.\n38, Private,194809, Some-college,10, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n50, Private,194397, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Private,181363, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K.\n55, ?,227243, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,35, Puerto-Rico, <=50K.\n18, Private,176136, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K.\n26, ?,102541, 10th,6, Never-married, ?, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n40, Private,166088, Assoc-voc,11, Widowed, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K.\n37, Self-emp-inc,95634, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, Canada, <=50K.\n35, Private,66304, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n22, Private,64292, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,2176,0,25, United-States, <=50K.\n33, Private,41610, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Local-gov,198028, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n36, Private,228652, Some-college,10, Divorced, Machine-op-inspct, Own-child, Other, Male,0,0,40, Mexico, <=50K.\n41, Private,165815, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n39, Private,238255, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n63, Private,65740, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K.\n52, Private,279543, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Cuba, >50K.\n36, Private,114765, 10th,6, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K.\n27, Private,279580, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,42, Mexico, <=50K.\n19, Private,73257, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, Germany, <=50K.\n66, Private,80621, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K.\n74, State-gov,193602, Some-college,10, Widowed, Exec-managerial, Not-in-family, Black, Male,15831,0,40, United-States, >50K.\n17, ?,141445, 9th,5, Never-married, ?, Own-child, White, Male,0,0,5, United-States, <=50K.\n37, Private,224512, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n52, Self-emp-not-inc,98642, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, India, >50K.\n21, ?,182288, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n44, Private,765214, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,0,2559,40, United-States, >50K.\n24, Private,224785, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1876,65, United-States, <=50K.\n19, ?,285177, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,18, United-States, <=50K.\n31, Private,241880, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,45, United-States, <=50K.\n42, Self-emp-inc,201495, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,165215, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,15, United-States, >50K.\n35, Self-emp-inc,99146, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n26, State-gov,92795, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,80, United-States, <=50K.\n39, Self-emp-not-inc,54022, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K.\n38, Private,175268, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n39, Local-gov,123983, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K.\n35, Private,269323, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,1887,40, United-States, >50K.\n40, Private,32798, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,45, United-States, <=50K.\n64, Private,101077, Prof-school,15, Widowed, Prof-specialty, Not-in-family, White, Female,0,2444,40, United-States, >50K.\n22, ?,157332, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n49, Private,390746, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1672,45, Ireland, <=50K.\n26, Private,200318, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K.\n38, ?,36425, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n44, Private,221172, 5th-6th,3, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n34, Self-emp-inc,337995, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Male,15020,0,50, United-States, >50K.\n54, Private,64421, Some-college,10, Widowed, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n22, Private,199915, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K.\n64, Private,207658, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,124810, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n40, Self-emp-inc,253060, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n36, Private,76878, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,40, United-States, >50K.\n20, ?,38455, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n49, Private,41294, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Private,205195, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,162236, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K.\n27, Private,445480, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n30, Private,761800, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,188300, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,28, United-States, <=50K.\n36, Private,138088, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n53, Private,132304, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n32, Private,126173, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, Private,259873, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n40, Private,122215, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,190015, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,313132, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n35, Self-emp-not-inc,103323, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n17, ?,44789, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K.\n28, Private,192932, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,264025, HS-grad,9, Separated, Transport-moving, Unmarried, Black, Male,1506,0,80, United-States, <=50K.\n37, Private,30269, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,2174,0,50, United-States, <=50K.\n23, Private,283092, HS-grad,9, Never-married, Sales, Other-relative, Black, Male,0,0,40, Jamaica, <=50K.\n17, Private,125236, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,22, United-States, <=50K.\n47, Private,187308, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n43, Private,150519, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n39, Local-gov,32587, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,1485,40, United-States, >50K.\n37, Private,244803, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Columbia, <=50K.\n23, Private,316793, HS-grad,9, Married-civ-spouse, Sales, Wife, Black, Female,0,0,35, United-States, <=50K.\n41, Private,106068, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n22, Private,191878, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K.\n30, ?,159008, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n39, Private,181983, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Female,0,2559,60, England, >50K.\n65, Private,113293, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n61, Local-gov,224711, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,63, United-States, >50K.\n20, Private,460356, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,30, Mexico, <=50K.\n37, Local-gov,184474, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,2977,0,55, United-States, <=50K.\n39, Private,289890, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n27, Private,183148, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,178109, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n54, Private,351760, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n39, Private,176967, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n17, Private,67444, 11th,7, Never-married, Other-service, Other-relative, Black, Male,0,0,20, United-States, <=50K.\n23, Private,48343, HS-grad,9, Never-married, Sales, Not-in-family, Black, Female,0,0,27, ?, <=50K.\n19, Private,1047822, 11th,7, Never-married, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K.\n55, Local-gov,200448, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n36, Private,34364, Assoc-acdm,12, Separated, Tech-support, Not-in-family, White, Female,0,0,3, United-States, <=50K.\n27, Private,95725, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K.\n23, Private,124802, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n38, Local-gov,196673, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,55, United-States, <=50K.\n22, Private,196943, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,43819, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n53, Private,173020, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n67, Local-gov,102690, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K.\n42, Private,199018, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, >50K.\n29, Private,201954, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K.\n31, Private,168854, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,1504,40, United-States, <=50K.\n22, Private,53702, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,154043, HS-grad,9, Widowed, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n41, Self-emp-inc,64112, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n68, ?,294420, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,2, United-States, <=50K.\n42, Self-emp-inc,325159, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n20, Private,267706, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n18, Private,70240, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n31, Private,213307, 7th-8th,4, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,20, Mexico, <=50K.\n56, Private,192845, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K.\n23, Private,273010, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, ?,177775, Assoc-voc,11, Never-married, ?, Other-relative, White, Female,0,0,32, United-States, <=50K.\n22, ?,393122, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n23, Private,345577, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,46, United-States, <=50K.\n54, Self-emp-not-inc,72257, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n34, Private,113129, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,38, United-States, >50K.\n36, Private,292380, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,10, United-States, <=50K.\n29, Private,121040, Assoc-voc,11, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n67, Private,142097, 9th,5, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,6, United-States, <=50K.\n48, Federal-gov,34998, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, >50K.\n53, State-gov,41021, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,46, United-States, >50K.\n42, Private,152889, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,50, United-States, >50K.\n56, Private,436651, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K.\n20, ?,256504, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n40, Private,215479, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n55, State-gov,100285, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,10520,0,40, United-States, >50K.\n61, Private,373099, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,99357, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n42, Private,67243, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Portugal, <=50K.\n32, Private,231263, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n19, Private,243942, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,194102, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Private,141748, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,40, United-States, >50K.\n22, Private,211013, HS-grad,9, Separated, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n23, Private,102652, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n49, Private,201127, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,70, United-States, <=50K.\n57, ?,172667, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K.\n49, Local-gov,175958, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Italy, <=50K.\n34, Private,73928, 10th,6, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,4, United-States, <=50K.\n46, Private,212944, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K.\n26, Private,544319, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,348960, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,41, United-States, <=50K.\n59, Private,280519, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n24, Private,155172, Assoc-acdm,12, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,106856, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,397346, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n27, Private,253814, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n23, Private,201490, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K.\n19, Private,176806, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,107038, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, Private,122194, Some-college,10, Married-civ-spouse, Craft-repair, Wife, White, Female,7298,0,40, United-States, >50K.\n28, Self-emp-not-inc,180928, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n62, Private,143746, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,183523, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K.\n35, Federal-gov,179262, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, Private,190759, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K.\n53, Self-emp-inc,200400, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K.\n29, Private,166320, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n17, Private,205954, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,8, United-States, <=50K.\n45, Local-gov,251786, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n20, Private,166371, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n27, ?,135046, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n59, Local-gov,170423, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,393673, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n27, Private,115438, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n29, Private,173944, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n26, ?,292803, Some-college,10, Divorced, ?, Other-relative, White, Female,0,0,35, United-States, <=50K.\n63, Private,149756, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K.\n39, Private,192251, Some-college,10, Divorced, Craft-repair, Own-child, White, Female,0,0,50, United-States, >50K.\n20, Private,163687, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Private,200421, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n53, Self-emp-inc,368014, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K.\n49, ?,141483, 10th,6, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n35, Federal-gov,191480, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n40, Private,202466, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n50, ?,28765, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,141584, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n38, Federal-gov,143123, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,122194, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, State-gov,110171, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,40, United-States, >50K.\n43, Self-emp-inc,342510, Bachelors,13, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,60, United-States, >50K.\n20, Private,42279, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K.\n33, Private,201122, HS-grad,9, Separated, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,254025, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K.\n50, Private,410114, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n60, Private,320422, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,6849,0,50, United-States, <=50K.\n56, Private,67153, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n37, Private,224406, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n57, Private,211678, 10th,6, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,64, United-States, <=50K.\n22, Private,257017, Assoc-voc,11, Never-married, Other-service, Other-relative, Black, Male,0,0,52, United-States, <=50K.\n48, Self-emp-inc,106232, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,48, United-States, >50K.\n27, State-gov,41115, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n18, Self-emp-not-inc,161245, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K.\n41, Self-emp-not-inc,37618, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n33, Private,321787, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n51, Private,123011, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n33, Local-gov,66278, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n25, Private,181054, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n55, Self-emp-not-inc,129786, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n29, Private,245402, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,70, United-States, <=50K.\n24, ?,192711, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,41, United-States, <=50K.\n41, Private,240124, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n29, Local-gov,370675, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n39, Self-emp-not-inc,34066, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,50, United-States, >50K.\n35, Private,53553, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,48, United-States, >50K.\n20, Private,319758, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,43556, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Self-emp-inc,97952, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,80, United-States, <=50K.\n44, Private,244522, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n32, Private,188108, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n35, Private,187022, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n59, State-gov,173422, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,38, United-States, <=50K.\n61, State-gov,103575, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, Germany, <=50K.\n20, Private,116830, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,43, United-States, <=50K.\n58, Private,219504, 12th,8, Divorced, Transport-moving, Unmarried, Black, Male,0,0,45, United-States, >50K.\n48, Self-emp-not-inc,102102, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n26, Private,129661, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n28, State-gov,189346, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,113211, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K.\n45, Private,256866, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n18, Private,186408, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,1055,0,40, United-States, <=50K.\n23, Private,50411, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,118941, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n19, ?,171868, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,20, United-States, <=50K.\n35, Private,99065, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K.\n22, Self-emp-not-inc,238917, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,220740, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K.\n69, Private,192660, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K.\n39, Private,56962, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,43, United-States, >50K.\n21, ?,156780, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,15, ?, <=50K.\n22, Private,122048, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,4416,0,40, United-States, <=50K.\n52, Private,172511, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,36, United-States, <=50K.\n44, Private,186790, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K.\n22, Private,196280, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n49, Private,61885, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n51, Private,143822, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n27, Private,315640, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,20, China, <=50K.\n34, Private,617917, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K.\n20, Private,35448, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K.\n22, Private,124483, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,2339,40, India, <=50K.\n68, Private,230904, 11th,7, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0,1870,35, United-States, <=50K.\n31, Private,164461, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,73, United-States, <=50K.\n22, Private,450695, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n62, ?,352156, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,166634, HS-grad,9, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n46, Private,151107, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,1977,60, United-States, >50K.\n49, Private,219751, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,85604, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K.\n54, Local-gov,231482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K.\n24, Private,138152, 9th,5, Never-married, Craft-repair, Other-relative, Other, Male,0,0,58, Guatemala, <=50K.\n27, Private,309196, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,91666, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,89734, Some-college,10, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Male,0,0,42, United-States, <=50K.\n27, Private,79661, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4386,0,40, United-States, >50K.\n39, Private,197150, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,50, El-Salvador, <=50K.\n29, ?,41281, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n29, Private,53448, 12th,8, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,50, China, <=50K.\n44, Self-emp-not-inc,255543, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, >50K.\n51, State-gov,367209, Doctorate,16, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, >50K.\n37, Private,226500, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n56, Private,292710, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n19, Private,235732, 11th,7, Never-married, Adm-clerical, Unmarried, White, Female,0,0,15, United-States, <=50K.\n37, Private,301614, Bachelors,13, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K.\n18, Private,261714, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n35, ?,35751, 1st-4th,2, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K.\n28, Private,266316, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,3464,0,35, United-States, <=50K.\n40, Self-emp-inc,189941, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,60, United-States, >50K.\n50, Self-emp-not-inc,143535, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,234537, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n57, Self-emp-not-inc,181435, 11th,7, Divorced, Other-service, Unmarried, White, Male,4650,0,50, United-States, <=50K.\n40, Private,94210, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n44, Private,344060, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,27828,0,40, United-States, >50K.\n40, Private,301359, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n42, State-gov,184527, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K.\n41, Federal-gov,333070, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,35, United-States, <=50K.\n23, Private,149574, Some-college,10, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n41, Self-emp-not-inc,34037, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K.\n41, Self-emp-not-inc,123502, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n29, Self-emp-not-inc,267661, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,75, United-States, <=50K.\n33, Private,109920, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n43, Private,134120, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,46, United-States, <=50K.\n18, Private,192254, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K.\n67, Self-emp-not-inc,94809, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,2346,0,33, United-States, <=50K.\n21, Private,183789, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, Private,86643, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K.\n22, ?,190290, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,65, United-States, <=50K.\n64, ?,228140, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,198349, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n44, Local-gov,113597, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Federal-gov,280567, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,4, United-States, <=50K.\n60, Private,298967, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,15, United-States, <=50K.\n31, Self-emp-not-inc,134615, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n74, Private,89852, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,11, United-States, <=50K.\n30, Private,289442, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,159109, 11th,7, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n47, Private,105495, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K.\n71, Private,155093, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n33, Private,312923, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,80, Mexico, <=50K.\n56, Private,202435, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,30, United-States, <=50K.\n24, Self-emp-not-inc,49154, 11th,7, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n37, Private,184456, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,95329, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, India, <=50K.\n42, Private,173938, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K.\n56, Private,373216, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K.\n52, Private,204226, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n56, State-gov,222745, Doctorate,16, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,56, United-States, <=50K.\n54, Private,106728, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-not-inc,61287, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n68, Private,146011, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,3273,0,42, United-States, <=50K.\n38, Private,166744, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n44, Local-gov,54651, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n32, ?,42894, 11th,7, Married-civ-spouse, ?, Wife, White, Female,0,0,15, United-States, <=50K.\n23, Private,131230, Bachelors,13, Never-married, Protective-serv, Own-child, White, Male,0,0,50, United-States, <=50K.\n69, Private,271312, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n52, Private,163776, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,60, United-States, >50K.\n24, Private,230126, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,37718, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,245975, 9th,5, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,84, United-States, <=50K.\n59, State-gov,115439, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K.\n35, Private,97554, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n43, Private,109762, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, >50K.\n47, Private,138342, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n29, ?,429696, Some-college,10, Married-civ-spouse, ?, Own-child, Black, Female,0,0,14, United-States, <=50K.\n77, ?,309955, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,1411,2, United-States, <=50K.\n48, Private,275154, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n40, Private,52849, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, ?, >50K.\n23, State-gov,191165, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,15, United-States, <=50K.\n51, Private,277471, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,171754, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, ?, <=50K.\n44, Private,117936, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n24, Private,249956, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Self-emp-inc,170502, Masters,14, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,70, United-States, >50K.\n19, Private,202951, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K.\n21, Private,396722, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n49, Private,93557, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K.\n22, Private,103805, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,36, United-States, <=50K.\n59, Private,92141, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n51, Private,171924, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,50, United-States, >50K.\n38, Local-gov,173804, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Female,0,0,38, United-States, <=50K.\n45, Private,139571, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n56, Self-emp-inc,142076, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n67, ?,126514, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K.\n27, Local-gov,68729, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n21, Private,37783, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n55, Self-emp-not-inc,183580, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n31, Private,106637, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K.\n57, Self-emp-not-inc,411604, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, Mexico, <=50K.\n33, Private,214635, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, ?, <=50K.\n26, Private,201663, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n51, Private,153064, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5013,0,40, United-States, <=50K.\n35, Private,212465, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, ?,93604, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n46, Private,141221, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K.\n38, Local-gov,289653, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1628,48, United-States, <=50K.\n24, Private,219835, 7th-8th,4, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,24, Guatemala, <=50K.\n38, State-gov,187119, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K.\n49, Private,406518, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,16, Yugoslavia, <=50K.\n34, Self-emp-not-inc,372793, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,21, ?, <=50K.\n55, ?,229029, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,5178,0,20, United-States, >50K.\n51, Private,145105, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n72, Private,171181, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,2329,0,20, United-States, <=50K.\n60, Private,80927, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n45, Private,191357, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,153542, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K.\n49, Private,27802, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K.\n46, Private,275792, Bachelors,13, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n62, Federal-gov,162876, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,197600, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n50, Private,134247, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n18, Private,179597, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n71, Private,148003, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,1911,38, United-States, >50K.\n30, Private,185177, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,22, United-States, <=50K.\n51, Private,133069, 10th,6, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n36, Private,177154, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, >50K.\n41, State-gov,29324, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n38, State-gov,54911, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,10, United-States, <=50K.\n49, Private,219611, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, >50K.\n42, State-gov,200294, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n53, Private,177063, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n21, Private,140001, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K.\n19, Private,237433, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,4416,0,40, United-States, <=50K.\n43, State-gov,99185, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,52291, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7688,0,45, United-States, >50K.\n30, Private,247328, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K.\n63, Self-emp-not-inc,388594, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n53, Local-gov,130730, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K.\n23, Private,115458, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,113866, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n61, Private,284710, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,45, Columbia, >50K.\n60, Local-gov,168381, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n32, Private,167063, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,33794, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, >50K.\n36, Private,263574, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n24, Private,95552, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,245724, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3818,0,44, United-States, <=50K.\n59, Private,152731, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,366876, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,203488, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n38, Private,30529, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3411,0,40, United-States, <=50K.\n57, Private,201159, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n64, Self-emp-inc,182158, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K.\n48, Private,443377, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n28, Private,101618, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K.\n46, Self-emp-inc,132576, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1887,45, United-States, >50K.\n51, ?,123429, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Self-emp-inc,147098, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,2444,60, United-States, >50K.\n44, Private,30424, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,1980,40, United-States, <=50K.\n50, Private,68898, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Private,158864, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K.\n27, Federal-gov,180103, Assoc-voc,11, Never-married, Tech-support, Unmarried, Black, Male,1151,0,40, United-States, <=50K.\n52, Private,317625, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n30, Private,80933, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,107373, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, >50K.\n32, Self-emp-not-inc,220148, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-inc,63503, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Greece, >50K.\n63, Private,210350, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,32, Mexico, <=50K.\n60, Private,194589, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n55, Private,200453, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n77, Self-emp-not-inc,101575, 12th,8, Divorced, Transport-moving, Not-in-family, White, Male,0,0,12, United-States, <=50K.\n55, Private,201232, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n51, Private,168553, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K.\n35, Private,166606, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n26, ?,104756, HS-grad,9, Married-AF-spouse, ?, Wife, White, Female,0,1651,42, United-States, <=50K.\n33, Private,106014, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,100882, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,47, United-States, >50K.\n52, State-gov,108836, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, >50K.\n50, Private,271493, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Local-gov,204629, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, Canada, >50K.\n24, Private,153078, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n44, Private,148316, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,293485, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,32, United-States, <=50K.\n61, Local-gov,257105, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n60, Private,248160, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n18, ?,104704, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,25, United-States, <=50K.\n47, Private,209057, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, >50K.\n30, Federal-gov,243233, Some-college,10, Married-civ-spouse, Armed-Forces, Husband, White, Male,0,0,48, United-States, >50K.\n44, Private,204314, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,38, United-States, >50K.\n60, Private,108969, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n44, Private,103397, HS-grad,9, Divorced, Handlers-cleaners, Other-relative, White, Female,0,0,40, United-States, <=50K.\n33, Private,198452, Bachelors,13, Separated, Tech-support, Unmarried, White, Female,5455,0,40, United-States, <=50K.\n38, Private,216572, HS-grad,9, Separated, Priv-house-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n42, Private,311920, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1485,17, United-States, >50K.\n45, Self-emp-inc,363298, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, >50K.\n40, Private,146906, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n40, Private,339814, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n60, Private,169408, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K.\n40, Self-emp-not-inc,308296, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, Private,59380, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,195634, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,10520,0,20, United-States, >50K.\n31, Federal-gov,180656, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K.\n19, Private,144793, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Local-gov,56820, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n51, Private,41414, 9th,5, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n28, Self-emp-not-inc,160731, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n31, Private,175778, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,230238, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,46, United-States, <=50K.\n39, State-gov,372130, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,5013,0,56, United-States, <=50K.\n27, Private,167501, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K.\n39, Private,141029, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n45, Private,135525, Masters,14, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n21, Private,522881, Assoc-voc,11, Never-married, Exec-managerial, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n67, Private,162009, 10th,6, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,16, United-States, <=50K.\n28, Private,365745, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,68393, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,46, United-States, <=50K.\n48, Private,203576, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n24, State-gov,138513, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n66, ?,188686, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,4, United-States, <=50K.\n23, Private,39551, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n17, Private,127366, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n21, Private,183747, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n30, Private,136331, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,81794, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n40, Private,222596, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n39, Private,108943, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, Private,189092, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K.\n33, Private,152109, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n36, Private,195565, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n53, Private,255927, Bachelors,13, Widowed, Adm-clerical, Unmarried, White, Female,0,0,52, United-States, <=50K.\n32, Private,100734, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n52, Local-gov,266433, Some-college,10, Widowed, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n31, Private,158672, 11th,7, Separated, Other-service, Not-in-family, White, Male,0,0,38, Puerto-Rico, <=50K.\n35, Private,102268, 12th,8, Divorced, Protective-serv, Other-relative, White, Male,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,228399, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n28, Private,298510, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n75, Self-emp-inc,126225, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,228456, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n22, Self-emp-inc,437161, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n43, Federal-gov,183608, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n40, Local-gov,174395, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n29, Private,221366, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,421010, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n44, Private,245333, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n33, Local-gov,352277, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,3103,0,45, United-States, >50K.\n38, Private,29874, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, >50K.\n29, Private,77322, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n34, Private,260560, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K.\n27, Self-emp-inc,217848, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,283731, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, State-gov,190759, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n59, State-gov,109567, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n19, Self-emp-not-inc,209826, Some-college,10, Never-married, Farming-fishing, Own-child, White, Female,0,0,32, United-States, <=50K.\n27, Private,232801, 10th,6, Divorced, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K.\n41, Private,154374, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K.\n35, Self-emp-inc,126738, Assoc-acdm,12, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K.\n26, Private,202156, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K.\n32, Private,195447, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n23, ?,113301, 11th,7, Separated, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n23, Private,189203, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n21, Private,223019, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K.\n58, Private,195878, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,24, Cuba, <=50K.\n58, Private,163150, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,28, United-States, <=50K.\n19, Self-emp-not-inc,139278, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K.\n29, Private,196494, Some-college,10, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,36, United-States, <=50K.\n25, Federal-gov,303704, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,304082, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Peru, <=50K.\n18, Private,106943, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K.\n23, Private,220993, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n52, Private,83984, Some-college,10, Married-civ-spouse, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n23, State-gov,340605, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,12, United-States, <=50K.\n18, Private,379710, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n39, Private,145933, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,55, United-States, >50K.\n34, Self-emp-not-inc,208068, 9th,5, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Guatemala, <=50K.\n39, Private,172718, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n30, Private,53285, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,139793, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,3418,0,38, United-States, <=50K.\n68, ?,365350, 5th-6th,3, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n32, Private,144064, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K.\n29, Private,182676, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,38, Mexico, <=50K.\n29, Private,108574, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n31, Self-emp-not-inc,163845, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n25, Private,344804, 5th-6th,3, Married-spouse-absent, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n30, State-gov,252818, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n56, Local-gov,114231, 10th,6, Widowed, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K.\n42, Private,111895, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K.\n52, Private,128814, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K.\n37, Private,168941, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n27, Private,212578, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,1721,20, United-States, <=50K.\n32, ?,251120, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n19, Private,192773, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K.\n37, State-gov,180667, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,186172, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n33, Private,309590, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K.\n40, Private,34178, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, >50K.\n44, Private,103759, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n34, State-gov,137900, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, >50K.\n60, Private,223911, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n48, Private,55720, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,2407,0,40, United-States, <=50K.\n39, Private,123535, 11th,7, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, Guatemala, <=50K.\n24, Private,479296, 9th,5, Never-married, Sales, Own-child, White, Male,0,0,48, United-States, <=50K.\n65, ?,263125, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,2290,0,27, United-States, <=50K.\n63, ?,174817, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K.\n28, Private,134890, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,183887, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1902,46, United-States, >50K.\n28, Private,55360, HS-grad,9, Never-married, Sales, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n34, Private,113211, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K.\n25, Private,224203, 11th,7, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K.\n74, ?,132112, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,48, United-States, <=50K.\n28, Private,113635, 12th,8, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,52262, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Local-gov,202300, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n19, Private,307761, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K.\n48, Private,324655, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n60, Private,23336, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n26, Private,206199, 11th,7, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n38, Federal-gov,365430, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n53, Private,42740, Some-college,10, Separated, Other-service, Own-child, White, Female,0,0,39, United-States, <=50K.\n30, Private,160594, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Self-emp-inc,202069, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,30, United-States, <=50K.\n22, ?,142875, 10th,6, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,60414, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, >50K.\n42, Private,340885, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n22, Private,194096, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n27, State-gov,222506, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,60, United-States, <=50K.\n44, Private,55191, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n58, Private,88572, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n28, Private,216757, Doctorate,16, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K.\n48, Private,57534, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n43, ?,96321, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n41, Self-emp-not-inc,201908, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Local-gov,237868, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,285570, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,187625, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K.\n24, Private,376755, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n56, Local-gov,137078, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,175943, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n27, Private,211208, 11th,7, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,105821, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,36, United-States, <=50K.\n49, Private,205694, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, Canada, <=50K.\n39, Private,148485, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Private,142264, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,125892, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n66, Private,250226, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n19, Private,300679, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K.\n18, Private,112626, Some-college,10, Never-married, Priv-house-serv, Own-child, White, Female,0,0,15, United-States, <=50K.\n47, Private,153883, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7688,0,45, United-States, >50K.\n48, Private,103648, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,41, United-States, <=50K.\n26, State-gov,162487, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, ?, <=50K.\n49, Local-gov,331650, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,9562,0,32, United-States, >50K.\n50, Self-emp-inc,171338, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K.\n47, Self-emp-not-inc,178319, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,42, United-States, >50K.\n30, Private,217460, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,182653, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n70, ?,152837, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,20, United-States, <=50K.\n47, Private,459189, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,87858, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, >50K.\n32, Private,125279, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,99, United-States, <=50K.\n39, Self-emp-not-inc,169542, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K.\n47, Private,363418, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, England, >50K.\n42, Private,198282, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,104620, Masters,14, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,15, United-States, <=50K.\n29, Private,176137, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n27, ?,168347, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n40, Private,191814, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K.\n42, Local-gov,150533, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,35, United-States, >50K.\n28, Private,115677, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1902,40, United-States, >50K.\n19, Private,182590, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n30, Private,239648, Some-college,10, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K.\n71, Private,139031, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Federal-gov,141340, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n64, Private,170645, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2105,0,40, United-States, <=50K.\n44, Local-gov,241506, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K.\n72, Private,163921, Some-college,10, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n64, Self-emp-not-inc,104958, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K.\n51, Private,144284, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,181139, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n55, Private,209962, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K.\n34, Private,87218, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n36, Private,182189, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,196337, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K.\n25, Private,238605, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n40, Private,106501, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,2829,0,50, United-States, <=50K.\n24, Private,172169, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K.\n39, Private,242922, HS-grad,9, Never-married, Tech-support, Not-in-family, Black, Male,0,0,35, United-States, <=50K.\n56, Private,257555, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,192302, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n38, Self-emp-inc,115487, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n22, Private,70160, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,410351, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K.\n25, Private,236421, 12th,8, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n36, Private,196662, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, Puerto-Rico, <=50K.\n50, Self-emp-not-inc,203004, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,99999,0,60, United-States, >50K.\n22, Private,200819, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,222866, 10th,6, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, United-States, <=50K.\n20, Private,204160, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K.\n54, Private,141707, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K.\n32, Private,123157, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, ?, <=50K.\n28, Private,219863, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n44, ?,29841, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,50, United-States, <=50K.\n59, Private,35723, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,99999,0,40, United-States, >50K.\n52, Private,163948, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K.\n19, ?,255117, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n39, Private,100032, HS-grad,9, Married-civ-spouse, Protective-serv, Wife, White, Female,0,0,15, United-States, >50K.\n22, Private,33087, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n24, ?,324469, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n57, Private,337001, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n18, Private,151747, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Local-gov,85057, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, >50K.\n25, Private,257910, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n37, Private,94331, 12th,8, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Private,250261, 1st-4th,2, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, Mexico, <=50K.\n32, Private,97359, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n53, State-gov,121294, 7th-8th,4, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,45, Poland, <=50K.\n49, Self-emp-inc,211020, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n34, ?,165295, 7th-8th,4, Separated, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n65, Self-emp-inc,116057, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,6723,0,40, United-States, <=50K.\n52, Private,469005, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n30, Local-gov,197886, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,379917, Assoc-voc,11, Never-married, Transport-moving, Not-in-family, White, Male,0,0,32, United-States, <=50K.\n28, Private,30912, Assoc-acdm,12, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,206889, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,87490, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K.\n40, Local-gov,241851, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n42, Private,155899, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n25, Federal-gov,253135, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, ?, <=50K.\n77, Local-gov,120408, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,20, United-States, <=50K.\n64, Private,77884, Assoc-voc,11, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n43, Private,162887, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K.\n30, Private,154843, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, India, <=50K.\n43, Local-gov,115511, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2002,40, United-States, <=50K.\n40, Private,121492, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,48, United-States, <=50K.\n31, Private,103596, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n25, Private,457070, 7th-8th,4, Divorced, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K.\n19, Private,73461, HS-grad,9, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,153078, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,1887,70, South, >50K.\n51, Private,194788, 10th,6, Divorced, Adm-clerical, Other-relative, White, Female,0,0,30, United-States, <=50K.\n31, Self-emp-not-inc,203181, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n35, Private,230279, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n52, Private,89041, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n41, State-gov,92717, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,1504,40, United-States, <=50K.\n27, Private,257033, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,60, United-States, <=50K.\n40, Private,145166, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,40, United-States, <=50K.\n38, Private,20308, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n34, ?,203784, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,38353, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,133373, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, >50K.\n60, ?,167978, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Private,166302, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n17, Private,333304, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n31, Local-gov,265706, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,4650,0,40, United-States, <=50K.\n65, Self-emp-not-inc,111916, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, >50K.\n62, State-gov,213700, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n39, Private,276559, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,2444,45, United-States, >50K.\n36, Private,36989, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Private,181566, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4508,0,40, United-States, <=50K.\n23, Private,202920, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Germany, <=50K.\n32, Self-emp-not-inc,24529, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K.\n22, Private,137320, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n66, ?,106791, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,160510, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K.\n34, ?,112584, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n19, Private,233779, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n54, State-gov,276005, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n36, Self-emp-inc,192251, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,1902,15, United-States, >50K.\n70, ?,308689, 5th-6th,3, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, Cuba, <=50K.\n50, Private,274528, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n17, Private,23856, 11th,7, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K.\n53, Private,175220, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,7688,0,48, Taiwan, >50K.\n41, Self-emp-not-inc,233150, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n26, Private,153169, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Federal-gov,298449, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,43, United-States, <=50K.\n17, Private,188949, 11th,7, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,157911, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n33, Private,243330, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K.\n40, Private,271343, Some-college,10, Separated, Tech-support, Own-child, White, Female,0,0,32, United-States, <=50K.\n48, Private,45564, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Male,4650,0,50, United-States, <=50K.\n47, Private,262043, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,103323, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Self-emp-not-inc,96480, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, >50K.\n47, Private,154117, HS-grad,9, Separated, Craft-repair, Other-relative, White, Female,0,0,40, United-States, <=50K.\n41, Private,151856, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,132053, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,1719,40, United-States, <=50K.\n29, Private,199118, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Guatemala, <=50K.\n36, Self-emp-not-inc,119272, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K.\n18, Private,209792, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Private,185084, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, >50K.\n41, Private,230931, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K.\n23, Private,162282, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,185366, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K.\n46, Private,93557, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,160428, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, <=50K.\n53, Private,159650, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Local-gov,137678, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n48, Self-emp-not-inc,56841, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,33124, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n31, Private,219117, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,5455,0,60, United-States, <=50K.\n43, Private,208045, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n43, Private,128578, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,60, United-States, >50K.\n28, Private,351731, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K.\n46, Private,201694, Assoc-acdm,12, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,205152, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n73, ?,30713, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n25, Private,190107, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n23, Federal-gov,244480, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,15, United-States, <=50K.\n32, Private,347112, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n37, Federal-gov,106297, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n36, Private,128516, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n27, Private,55950, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n29, Private,324505, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,130760, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Local-gov,174413, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1974,40, United-States, <=50K.\n29, ?,20877, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,35, United-States, <=50K.\n22, Private,144238, 11th,7, Never-married, Farming-fishing, Own-child, White, Female,0,0,38, United-States, <=50K.\n47, Private,193047, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n43, Private,300099, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n65, ?,369902, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n56, Self-emp-not-inc,42166, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Private,171924, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Canada, >50K.\n50, Private,201984, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K.\n29, Private,306420, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n32, Self-emp-not-inc,46746, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K.\n37, Private,185325, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K.\n30, Private,201697, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,181372, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n39, Private,112077, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,370057, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,72591, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Local-gov,105803, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,198478, HS-grad,9, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, United-States, <=50K.\n33, Private,119017, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K.\n42, Private,138872, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, <=50K.\n56, Federal-gov,97213, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n40, Private,36556, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K.\n38, State-gov,200904, 10th,6, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n49, Private,186256, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,30, United-States, <=50K.\n18, Private,115815, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, England, <=50K.\n42, Private,308770, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K.\n25, Local-gov,187792, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,233571, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,1902,40, United-States, >50K.\n26, Private,131913, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n26, Private,31558, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,90, United-States, >50K.\n33, Private,255004, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,2354,0,61, United-States, <=50K.\n25, Local-gov,315287, Some-college,10, Never-married, Protective-serv, Other-relative, Black, Male,0,0,40, Trinadad&Tobago, <=50K.\n18, Private,182545, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n59, Private,750972, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n69, Self-emp-not-inc,505365, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,6514,0,45, United-States, >50K.\n22, Local-gov,177475, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,203761, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,36104, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-inc,179708, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Self-emp-inc,77392, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K.\n73, ?,86709, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,38, United-States, <=50K.\n59, Local-gov,173992, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K.\n20, Private,119665, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Private,188391, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,46, United-States, <=50K.\n51, Private,326005, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, England, >50K.\n24, Private,203203, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n59, Private,64102, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,169188, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,35, United-States, <=50K.\n45, Private,385793, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K.\n25, Private,390537, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,25, El-Salvador, <=50K.\n29, Private,115677, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,42, United-States, <=50K.\n22, Private,230248, Assoc-acdm,12, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n66, ?,59056, 10th,6, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n72, Private,108038, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, Cuba, >50K.\n39, Local-gov,282461, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,184659, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K.\n65, Private,182470, Assoc-voc,11, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n63, Private,458609, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,3674,0,30, United-States, <=50K.\n58, Private,104476, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,1092,40, United-States, <=50K.\n27, Private,200802, Assoc-voc,11, Separated, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n58, Private,170608, 10th,6, Separated, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n52, Private,197322, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,118358, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n21, ?,520231, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n61, Self-emp-not-inc,198017, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, ?, <=50K.\n29, Private,131045, Assoc-voc,11, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n19, ?,272166, Some-college,10, Never-married, ?, Own-child, White, Male,0,1602,30, United-States, <=50K.\n30, Private,110083, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,335569, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,167159, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n50, Private,170326, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,319052, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Wife, Asian-Pac-Islander, Female,0,0,37, Philippines, <=50K.\n57, Private,174662, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,110732, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,50, United-States, <=50K.\n27, Federal-gov,409815, Some-college,10, Divorced, Adm-clerical, Other-relative, Black, Female,0,0,50, United-States, <=50K.\n28, Private,79874, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K.\n49, Private,116641, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,35, United-States, >50K.\n33, Private,87209, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n64, Local-gov,152172, 10th,6, Married-civ-spouse, Machine-op-inspct, Wife, White, Male,0,0,40, ?, <=50K.\n46, Self-emp-not-inc,142222, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,1151,0,60, United-States, <=50K.\n50, Local-gov,120521, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,50, United-States, >50K.\n43, Self-emp-not-inc,247752, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n26, Private,34161, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n33, Private,589155, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n50, Private,149784, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,402522, 1st-4th,2, Divorced, Farming-fishing, Unmarried, White, Male,0,0,40, Thailand, <=50K.\n28, Private,228346, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n21, Private,415755, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,289653, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,45, United-States, >50K.\n17, Private,165018, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K.\n19, Private,322866, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,244813, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K.\n27, Private,538193, 11th,7, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,50, United-States, <=50K.\n45, Private,256367, 12th,8, Divorced, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n46, Private,95864, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n57, Self-emp-not-inc,291167, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,126569, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Poland, <=50K.\n34, Private,128016, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999,0,40, United-States, >50K.\n18, ?,323584, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,10, United-States, <=50K.\n65, ?,115431, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K.\n26, Private,246156, 10th,6, Never-married, Craft-repair, Other-relative, White, Male,0,0,24, Honduras, <=50K.\n44, Private,346081, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n38, Local-gov,156383, Some-college,10, Never-married, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n49, Private,151267, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n41, Local-gov,249039, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n52, Federal-gov,157454, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,143540, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n72, State-gov,120733, 7th-8th,4, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n48, Private,344381, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,42, United-States, >50K.\n32, Private,149787, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,268525, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n24, Private,396099, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n24, Private,221442, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n55, Private,115198, 9th,5, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,48, United-States, <=50K.\n48, Federal-gov,102359, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Local-gov,298885, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K.\n34, Private,93213, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K.\n40, Private,130760, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, <=50K.\n29, ?,236834, Some-college,10, Divorced, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n39, Self-emp-inc,31709, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K.\n45, Private,192053, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n21, Private,95918, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,43, Germany, <=50K.\n36, Self-emp-inc,132879, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,1887,40, United-States, >50K.\n28, Private,64940, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K.\n57, Private,106910, HS-grad,9, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n22, Private,210474, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Local-gov,393965, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n23, Local-gov,117789, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n35, Self-emp-not-inc,134498, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, >50K.\n28, Private,212068, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1980,40, United-States, <=50K.\n27, Private,169544, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n76, ?,32995, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,5, United-States, <=50K.\n37, Private,261241, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,1485,50, United-States, <=50K.\n43, Private,145784, HS-grad,9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K.\n33, Private,252646, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n56, Private,161944, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Self-emp-inc,249644, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n35, Private,195081, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n36, Private,428251, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n59, Self-emp-not-inc,198145, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n42, Private,348059, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n21, Private,43587, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n24, Private,318612, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,1504,40, United-States, <=50K.\n17, ?,235661, 10th,6, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n29, Private,129528, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n61, Private,200427, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,188243, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,48, United-States, <=50K.\n56, Self-emp-not-inc,306633, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,85019, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K.\n22, ?,356286, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,10, United-States, <=50K.\n45, Private,102771, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n40, Local-gov,34739, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,36, United-States, <=50K.\n22, ?,201959, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K.\n28, Private,126743, 5th-6th,3, Never-married, Other-service, Other-relative, White, Male,2176,0,52, Mexico, <=50K.\n46, Local-gov,85341, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,56, United-States, <=50K.\n57, Private,275943, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,82823, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,5013,0,30, United-States, <=50K.\n30, Private,183388, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n21, Private,116489, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n62, Self-emp-not-inc,215789, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K.\n19, Private,365871, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,32, United-States, <=50K.\n63, Local-gov,199275, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,8614,0,38, United-States, >50K.\n39, Self-emp-not-inc,34111, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n72, ?,314567, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n40, Self-emp-inc,102576, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,55, Trinadad&Tobago, <=50K.\n27, Private,103524, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,35, United-States, <=50K.\n47, Self-emp-not-inc,114222, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K.\n28, Private,246933, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Private,107812, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Self-emp-not-inc,109162, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K.\n59, Private,112798, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K.\n33, Private,30612, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,105994, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n57, Private,113090, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,26252, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n31, Private,49469, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K.\n24, Private,172169, Some-college,10, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,30, United-States, <=50K.\n36, Private,151029, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K.\n46, Private,134242, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, State-gov,87282, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n19, Private,84250, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K.\n33, Private,76107, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,60, United-States, >50K.\n59, Self-emp-inc,36085, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K.\n32, Private,220333, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,46, United-States, >50K.\n58, Private,105363, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Portugal, <=50K.\n19, Private,198668, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,47, United-States, <=50K.\n43, Private,157473, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Private,126568, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n56, Self-emp-inc,220896, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n57, Federal-gov,236048, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n42, Private,34218, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,99999,0,80, United-States, >50K.\n62, Private,155915, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,139684, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n34, Private,23778, Bachelors,13, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n24, Private,236804, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n78, Private,454321, 1st-4th,2, Widowed, Handlers-cleaners, Other-relative, White, Male,0,0,20, Nicaragua, <=50K.\n43, Private,229148, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,50, Outlying-US(Guam-USVI-etc), <=50K.\n60, Local-gov,119986, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Local-gov,455399, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,15024,0,40, United-States, >50K.\n21, Private,301694, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, Mexico, <=50K.\n64, ?,155142, HS-grad,9, Widowed, ?, Not-in-family, Black, Male,0,0,20, United-States, <=50K.\n27, Private,259652, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, State-gov,156642, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,39, United-States, <=50K.\n37, Private,94208, 1st-4th,2, Divorced, Other-service, Unmarried, White, Female,0,0,35, Mexico, <=50K.\n31, Private,117719, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Portugal, <=50K.\n27, Local-gov,100817, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n31, Private,144990, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n37, Self-emp-inc,198841, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n43, Private,223881, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, United-States, >50K.\n18, Private,264017, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,16, Canada, <=50K.\n23, State-gov,26842, Assoc-voc,11, Married-AF-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K.\n40, Private,477345, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2057,40, Mexico, <=50K.\n22, Private,267412, Preschool,1, Never-married, Other-service, Own-child, Black, Female,594,0,20, Jamaica, <=50K.\n61, Self-emp-inc,190610, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n63, Private,281237, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n59, Private,254593, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n33, Private,159187, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,54, United-States, >50K.\n51, State-gov,200450, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n38, Local-gov,140854, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,242517, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,40, United-States, >50K.\n47, Self-emp-not-inc,294671, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n20, State-gov,68358, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n53, Private,107096, Bachelors,13, Never-married, Sales, Unmarried, White, Male,0,1669,50, United-States, <=50K.\n43, Private,244419, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n26, Self-emp-not-inc,195636, 10th,6, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,75, United-States, >50K.\n39, Private,368586, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Female,0,0,37, Puerto-Rico, <=50K.\n30, Private,215808, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n45, Private,165822, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n25, Private,193379, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Private,120121, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n25, Local-gov,311603, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n48, Private,323798, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,38, United-States, >50K.\n32, Private,253890, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n67, ?,105252, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K.\n37, Private,220696, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,194097, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K.\n28, Private,181291, Some-college,10, Married-civ-spouse, Other-service, Own-child, White, Female,7688,0,40, United-States, >50K.\n28, Private,258594, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n28, Private,138976, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,48, United-States, <=50K.\n22, Private,81145, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, Private,250853, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, ?,365739, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, Private,257863, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n27, Private,203697, Masters,14, Never-married, Tech-support, Own-child, White, Male,0,0,50, United-States, <=50K.\n54, Private,87205, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n66, Self-emp-not-inc,195161, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, ?, <=50K.\n41, Private,470486, 1st-4th,2, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,1719,40, Mexico, <=50K.\n46, Local-gov,93557, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,50, United-States, >50K.\n39, Private,107991, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n51, Private,63081, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n26, Private,73988, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,136080, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n38, State-gov,49115, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,27, United-States, <=50K.\n30, Private,314649, HS-grad,9, Married-spouse-absent, Farming-fishing, Unmarried, Asian-Pac-Islander, Male,0,0,40, ?, <=50K.\n18, Private,166224, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n44, ?,118484, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,80, United-States, <=50K.\n56, Local-gov,291529, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n41, Self-emp-not-inc,252392, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,96, Mexico, <=50K.\n42, Private,86912, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Private,193537, 9th,5, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,50, Puerto-Rico, <=50K.\n33, Private,83231, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n43, Private,325461, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n21, Private,36011, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Private,274869, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, Private,178322, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K.\n38, Private,67666, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,38, United-States, <=50K.\n33, Private,153005, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,138269, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n33, Private,265204, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n43, Private,437318, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,208109, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K.\n50, Self-emp-not-inc,91103, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,51, United-States, >50K.\n57, State-gov,388225, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n76, Self-emp-not-inc,42162, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,2, United-States, <=50K.\n52, Self-emp-not-inc,417227, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n36, State-gov,180220, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n30, Private,187560, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n39, Private,127573, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,2202,0,45, United-States, <=50K.\n51, Federal-gov,68898, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,78662, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n56, Private,158776, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n28, Private,164575, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,328301, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n49, Private,213897, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, Japan, >50K.\n40, Private,230684, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,381679, Some-college,10, Never-married, Tech-support, Other-relative, White, Female,0,0,40, United-States, <=50K.\n44, Local-gov,360884, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n36, State-gov,256992, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n31, Private,112115, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Private,113577, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,189382, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n45, Private,201080, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n46, Private,344415, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n57, Private,201232, HS-grad,9, Married-civ-spouse, Priv-house-serv, Husband, White, Male,0,0,30, United-States, <=50K.\n20, Private,332194, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,20, United-States, <=50K.\n30, Private,216864, 9th,5, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n60, Private,290922, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,27, United-States, <=50K.\n42, Local-gov,223548, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,109419, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,8614,0,45, United-States, >50K.\n27, Private,135296, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n59, State-gov,100270, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n18, Private,99497, 12th,8, Never-married, Other-service, Own-child, Other, Female,0,0,30, United-States, <=50K.\n26, ?,223665, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,84, United-States, <=50K.\n48, Self-emp-inc,341762, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,236483, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n20, ?,311570, HS-grad,9, Married-civ-spouse, ?, Other-relative, White, Female,0,0,32, United-States, <=50K.\n36, Private,588739, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, India, <=50K.\n44, Self-emp-inc,79521, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024,0,55, United-States, >50K.\n36, Private,327435, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n32, Private,229636, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013,0,60, United-States, <=50K.\n26, Private,124483, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,25, India, <=50K.\n58, Private,218764, Assoc-voc,11, Widowed, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K.\n39, State-gov,178100, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, ?,197057, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,30, United-States, <=50K.\n39, Private,191161, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,55, United-States, <=50K.\n65, Private,266828, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,1848,0,40, United-States, <=50K.\n29, Private,251526, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,20, United-States, <=50K.\n22, ?,145964, HS-grad,9, Never-married, ?, Unmarried, White, Male,0,0,40, United-States, <=50K.\n23, Private,307149, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K.\n36, Private,37238, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n32, Private,129020, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,209432, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n38, Private,139364, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K.\n25, Federal-gov,169124, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,116391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,176025, HS-grad,9, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n66, Self-emp-not-inc,44712, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,15, United-States, <=50K.\n35, Self-emp-not-inc,190759, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, Private,185692, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K.\n17, Private,80576, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K.\n31, Private,282173, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n20, Private,187158, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n25, Private,214468, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n59, Self-emp-not-inc,185410, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K.\n37, Private,87757, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n42, Private,449578, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n31, Private,309028, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,155293, 12th,8, Divorced, Sales, Not-in-family, White, Female,0,1762,45, United-States, <=50K.\n46, Private,32825, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n36, Private,216845, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K.\n45, State-gov,149640, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, >50K.\n19, State-gov,140985, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n38, Private,218188, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n27, State-gov,187327, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n33, Private,182511, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n55, Self-emp-not-inc,157639, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,58, United-States, <=50K.\n46, Local-gov,258498, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, Private,87632, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,228394, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,36, United-States, <=50K.\n59, State-gov,200732, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, Philippines, >50K.\n36, Private,49657, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n27, Local-gov,106179, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n21, Private,135267, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n65, ?,486436, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, >50K.\n29, Private,69757, Bachelors,13, Divorced, Exec-managerial, Other-relative, White, Female,0,0,50, United-States, <=50K.\n53, Private,190319, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,1485,40, Thailand, >50K.\n20, Private,188409, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n54, Private,181246, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,103573, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,180725, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K.\n26, State-gov,34862, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,38, ?, <=50K.\n55, Self-emp-inc,275236, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K.\n40, Self-emp-not-inc,76487, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n37, Federal-gov,75073, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,42, United-States, <=50K.\n23, Private,231929, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Private,186410, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n42, Self-emp-not-inc,344624, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,99, United-States, >50K.\n66, Private,97847, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K.\n30, Private,387521, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K.\n25, ?,193511, Bachelors,13, Never-married, ?, Own-child, White, Female,0,0,35, El-Salvador, <=50K.\n20, Private,325033, 12th,8, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, >50K.\n37, Private,285637, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,50, United-States, <=50K.\n20, Private,186014, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n27, Private,203160, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n20, ?,190290, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K.\n33, Private,219553, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n53, Private,290882, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n54, Private,133403, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1902,35, United-States, <=50K.\n33, Private,150154, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,203076, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,158592, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, Federal-gov,215115, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K.\n20, Private,117476, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,159269, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K.\n24, Private,189924, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Female,0,0,60, United-States, <=50K.\n32, Local-gov,226296, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n38, Private,103886, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Federal-gov,148508, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,79586, Some-college,10, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,35, India, >50K.\n40, ?,95049, Assoc-voc,11, Separated, ?, Own-child, White, Female,0,0,40, ?, <=50K.\n45, Self-emp-inc,192835, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n21, Private,316184, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n49, Private,132476, Doctorate,16, Divorced, Tech-support, Unmarried, White, Male,7430,0,40, United-States, >50K.\n44, Private,76487, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,302712, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n42, Private,225193, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,102092, 11th,7, Widowed, Craft-repair, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n51, Private,173754, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,38238, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n41, Private,212027, 11th,7, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n25, Private,173593, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,75, United-States, <=50K.\n27, Local-gov,132718, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K.\n23, Private,103588, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Local-gov,75387, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,38444, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,10, United-States, <=50K.\n21, Private,35603, HS-grad,9, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,11, United-States, <=50K.\n24, Private,588484, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,594,0,40, United-States, <=50K.\n62, ?,191118, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n70, ?,88638, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,8, United-States, <=50K.\n61, Private,27086, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n63, Private,184319, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,24, United-States, <=50K.\n31, Private,307375, Some-college,10, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n17, Private,93511, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n23, Private,32950, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n40, Private,313945, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Local-gov,275517, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,72, United-States, <=50K.\n55, Private,132145, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n37, Self-emp-not-inc,377798, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n48, Private,198000, Bachelors,13, Never-married, Sales, Other-relative, White, Female,0,0,38, United-States, >50K.\n67, Private,166591, HS-grad,9, Divorced, Priv-house-serv, Unmarried, Black, Female,1848,0,99, United-States, <=50K.\n72, Self-emp-not-inc,117030, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Local-gov,275369, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n24, Private,300584, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n27, Local-gov,230997, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n32, Private,73199, 12th,8, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n61, Private,362068, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n34, Private,162604, HS-grad,9, Never-married, Craft-repair, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n40, Private,86143, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n39, Private,116477, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,102308, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,35, United-States, >50K.\n57, Self-emp-inc,199067, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,90, Greece, >50K.\n47, Private,205100, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n38, Private,127493, Assoc-acdm,12, Widowed, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K.\n77, Self-emp-not-inc,34761, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,221480, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,0,0,8, United-States, <=50K.\n37, Self-emp-not-inc,216473, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n43, Self-emp-inc,147206, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,27828,0,45, United-States, >50K.\n50, Private,162868, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n68, Self-emp-not-inc,335701, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n55, Private,250322, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n52, Local-gov,182856, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,10520,0,45, United-States, >50K.\n24, Private,97743, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K.\n42, Private,227065, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n51, Private,59840, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n26, Private,140446, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, United-States, <=50K.\n32, Federal-gov,86150, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,1977,40, United-States, >50K.\n51, Private,147876, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n26, Private,219199, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,28497, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,8, United-States, <=50K.\n27, Private,405177, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n29, Private,320451, Bachelors,13, Married-spouse-absent, Sales, Other-relative, Asian-Pac-Islander, Male,0,0,40, ?, <=50K.\n71, Self-emp-not-inc,30661, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,6514,0,40, United-States, >50K.\n30, Local-gov,38268, HS-grad,9, Separated, Other-service, Unmarried, White, Male,0,0,40, United-States, >50K.\n42, Private,199900, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K.\n39, Self-emp-inc,172538, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n17, Private,194517, 11th,7, Never-married, Farming-fishing, Own-child, White, Female,0,0,18, United-States, <=50K.\n20, Private,129024, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n37, Private,203828, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K.\n40, Private,146659, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Private,29261, Assoc-acdm,12, Never-married, Other-service, Other-relative, White, Male,0,0,42, United-States, <=50K.\n19, Private,366109, 10th,6, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K.\n29, Private,212091, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,202872, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,36, United-States, >50K.\n31, Private,373903, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,289403, HS-grad,9, Divorced, Tech-support, Not-in-family, Black, Male,0,0,40, ?, <=50K.\n21, Private,60552, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n46, Private,188325, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K.\n21, ?,398480, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n37, Federal-gov,254202, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,27828,0,50, United-States, >50K.\n41, Self-emp-inc,277858, Bachelors,13, Widowed, Exec-managerial, Not-in-family, Black, Female,0,0,45, United-States, <=50K.\n50, Private,102346, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,36, ?, <=50K.\n34, Private,226629, 12th,8, Separated, Sales, Unmarried, White, Female,0,0,34, United-States, <=50K.\n47, Private,219632, 1st-4th,2, Widowed, Machine-op-inspct, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n21, Private,449101, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n49, Private,330535, Doctorate,16, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K.\n38, Private,202937, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n43, Federal-gov,269733, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n40, Self-emp-not-inc,355856, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n48, Self-emp-inc,275100, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, Greece, >50K.\n30, State-gov,136997, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, Private,136931, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,38, Thailand, <=50K.\n31, ?,346736, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,45, United-States, <=50K.\n30, Local-gov,264936, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n37, Private,269722, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, United-States, <=50K.\n28, Private,251905, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n57, Private,180636, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,116915, Some-college,10, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,182516, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n49, Local-gov,199862, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2179,40, United-States, <=50K.\n44, Private,127482, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,7688,0,40, United-States, >50K.\n44, Private,142968, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n18, Private,115258, 10th,6, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n45, Private,190822, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,31, United-States, <=50K.\n50, Local-gov,68898, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n17, Self-emp-inc,151999, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K.\n28, Self-emp-not-inc,236471, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Local-gov,29075, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,5013,0,40, United-States, <=50K.\n43, State-gov,186990, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,37, United-States, <=50K.\n48, Private,210369, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n57, ?,179644, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,5, United-States, <=50K.\n28, Private,119128, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,188386, HS-grad,9, Divorced, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Private,120645, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K.\n58, Local-gov,303176, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,358434, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n57, Private,36091, HS-grad,9, Separated, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n48, Private,250648, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n49, Private,131918, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K.\n40, Self-emp-not-inc,151504, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n41, Private,161880, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,50, United-States, <=50K.\n45, Private,123681, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,94090, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n22, ?,129980, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n50, Private,237258, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,27828,0,48, United-States, >50K.\n65, Self-emp-not-inc,147377, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,16, United-States, <=50K.\n36, Federal-gov,253627, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Puerto-Rico, >50K.\n63, ?,528618, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,27881, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n28, Private,79874, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, Private,156981, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n46, Local-gov,195418, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K.\n37, Private,175185, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,273796, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K.\n37, State-gov,373699, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n31, Private,82508, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,162551, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Hong, <=50K.\n24, Private,166297, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,25, United-States, <=50K.\n25, Local-gov,100125, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,175690, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n45, Private,184441, 7th-8th,4, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,42, United-States, <=50K.\n28, Self-emp-inc,167737, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,5178,0,40, United-States, >50K.\n58, Private,186121, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,177851, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n35, Private,106961, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n54, Private,419712, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n40, Local-gov,208875, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n24, Private,373628, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,1504,40, United-States, <=50K.\n26, Private,331861, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, England, <=50K.\n29, Private,249948, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n50, Private,99316, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,252570, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K.\n17, Private,89160, 12th,8, Never-married, Priv-house-serv, Own-child, White, Female,0,0,18, United-States, <=50K.\n25, Private,49092, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,87757, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,806552, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n45, Self-emp-not-inc,70754, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,60, United-States, >50K.\n28, Private,150437, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n71, ?,46836, 7th-8th,4, Separated, ?, Not-in-family, Black, Male,0,0,15, United-States, <=50K.\n34, State-gov,117186, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n49, Private,239625, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,128483, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,60, United-States, <=50K.\n17, Private,53367, 12th,8, Never-married, Other-service, Other-relative, White, Female,0,0,25, United-States, <=50K.\n20, Private,358355, 9th,5, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n53, Private,139522, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,1573,40, Italy, <=50K.\n26, Private,93017, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,101320, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,1564,40, Canada, >50K.\n57, Self-emp-inc,105582, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,40, United-States, >50K.\n40, Private,121718, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K.\n19, Private,111836, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,35, United-States, <=50K.\n58, Private,96840, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Female,0,0,37, United-States, <=50K.\n62, Local-gov,176839, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,10, United-States, <=50K.\n41, Local-gov,193553, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,64, United-States, >50K.\n46, Private,168232, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Self-emp-not-inc,146325, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Yugoslavia, >50K.\n33, Private,111567, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n58, Private,478354, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K.\n30, Private,209768, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,188909, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,321313, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n19, ?,264228, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,12, United-States, <=50K.\n22, Private,345066, 10th,6, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n56, Self-emp-not-inc,32855, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Self-emp-inc,287372, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n36, Private,214807, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, Local-gov,275110, Some-college,10, Married-civ-spouse, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K.\n32, Private,352089, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n33, State-gov,110171, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,1092,40, United-States, <=50K.\n20, Private,211391, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n51, Private,91506, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,40, United-States, >50K.\n52, Private,180949, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K.\n64, Self-emp-inc,169072, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Private,264554, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n38, Private,99065, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, >50K.\n30, Private,201122, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n67, Self-emp-inc,323636, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, Canada, <=50K.\n37, Local-gov,184112, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K.\n55, Private,243367, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,37, United-States, <=50K.\n25, State-gov,149248, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n41, Local-gov,248748, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n31, Private,242616, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n51, Private,207246, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1902,40, United-States, >50K.\n75, Self-emp-not-inc,343631, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,15, United-States, <=50K.\n53, Private,403121, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n36, Self-emp-not-inc,184435, 11th,7, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,181405, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K.\n67, Self-emp-not-inc,75140, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K.\n29, Self-emp-not-inc,467936, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, ?, <=50K.\n32, Self-emp-not-inc,181212, Some-college,10, Separated, Farming-fishing, Unmarried, White, Female,0,0,65, United-States, <=50K.\n42, Private,324421, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n41, Private,344624, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K.\n46, Private,98735, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K.\n48, Local-gov,186172, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n55, Federal-gov,107157, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n68, ?,353871, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,175958, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n62, Private,252134, 7th-8th,4, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, Cuba, <=50K.\n30, Private,95923, Assoc-acdm,12, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n56, Local-gov,203250, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,296212, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n22, Private,333838, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n56, Private,345730, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Federal-gov,128141, Bachelors,13, Separated, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n53, Private,249347, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, Cuba, >50K.\n51, Private,171914, 9th,5, Widowed, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n41, Private,344519, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,13550,0,60, United-States, >50K.\n34, Self-emp-inc,196385, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Private,87546, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,85668, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,126613, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n28, Private,239753, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Private,162796, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n52, Federal-gov,197189, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,44, United-States, >50K.\n33, State-gov,25806, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,20, ?, <=50K.\n28, Private,89813, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, State-gov,142167, Masters,14, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, ?, <=50K.\n40, Private,171589, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n60, Private,203985, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,394191, 12th,8, Never-married, Transport-moving, Own-child, White, Male,0,0,55, Germany, <=50K.\n50, Private,155433, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Private,39581, Bachelors,13, Separated, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n19, Private,305834, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Self-emp-inc,200220, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n33, Private,229732, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Private,190333, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n51, Private,155983, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n44, Private,211351, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,4386,0,40, United-States, >50K.\n19, ?,505168, 9th,5, Never-married, ?, Other-relative, White, Female,0,0,40, United-States, <=50K.\n49, Private,256417, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,40, Mexico, <=50K.\n17, ?,165069, 10th,6, Never-married, ?, Own-child, White, Male,0,1721,40, United-States, <=50K.\n20, Private,249385, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,20, United-States, <=50K.\n53, Private,168723, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,165866, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n48, Private,48553, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,72, United-States, <=50K.\n27, Private,244751, HS-grad,9, Never-married, Adm-clerical, Own-child, Other, Male,0,0,40, United-States, <=50K.\n21, Private,228230, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K.\n29, Private,152951, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n47, State-gov,29023, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K.\n48, Self-emp-not-inc,136455, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,60, United-States, <=50K.\n38, ?,245372, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,75, United-States, >50K.\n19, ?,155863, Some-college,10, Never-married, ?, Own-child, White, Female,0,1602,30, United-States, <=50K.\n37, Private,126675, Some-college,10, Widowed, Machine-op-inspct, Other-relative, White, Male,0,0,40, ?, <=50K.\n37, Private,184659, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013,0,44, United-States, <=50K.\n39, Federal-gov,33289, HS-grad,9, Widowed, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K.\n35, Private,111377, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,103651, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n56, Private,53481, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,238917, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, El-Salvador, <=50K.\n25, Private,167495, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Federal-gov,114222, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, >50K.\n32, Private,182323, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n24, Private,137589, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K.\n32, Private,181091, Bachelors,13, Never-married, Sales, Own-child, White, Male,13550,0,35, United-States, >50K.\n41, Private,156580, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, Dominican-Republic, <=50K.\n32, Private,210926, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, >50K.\n37, Self-emp-not-inc,255503, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K.\n39, Private,116546, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n66, Self-emp-not-inc,34218, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n18, ?,305327, Some-college,10, Never-married, ?, Own-child, Other, Female,0,0,25, United-States, <=50K.\n23, Private,107882, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Private,858091, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n45, Private,79646, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n42, Private,103089, Some-college,10, Separated, Prof-specialty, Unmarried, White, Female,1506,0,40, United-States, <=50K.\n40, Self-emp-not-inc,145441, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,30, United-States, <=50K.\n20, State-gov,117210, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,379246, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,130018, 11th,7, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K.\n40, Private,121466, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n54, Private,339518, Assoc-acdm,12, Married-spouse-absent, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n33, Private,388672, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n56, Self-emp-not-inc,190091, Assoc-voc,11, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,46, United-States, <=50K.\n27, Private,197918, 11th,7, Never-married, Craft-repair, Unmarried, Black, Male,0,0,47, United-States, <=50K.\n31, Private,361497, 7th-8th,4, Never-married, Farming-fishing, Other-relative, White, Male,0,0,60, Portugal, <=50K.\n61, ?,451327, Bachelors,13, Married-civ-spouse, ?, Husband, Other, Male,0,0,24, United-States, >50K.\n22, Private,340217, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n32, Self-emp-not-inc,63516, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K.\n29, Private,269786, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Local-gov,63338, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n56, Private,179127, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Italy, <=50K.\n35, Private,124090, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, <=50K.\n25, Private,215188, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n22, Private,482082, 11th,7, Married-civ-spouse, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Mexico, <=50K.\n19, Private,234725, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Private,289890, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,232036, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Local-gov,195416, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n52, Private,22154, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,103734, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, >50K.\n32, Local-gov,32587, HS-grad,9, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n27, Private,190303, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,270488, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n31, Private,104509, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K.\n47, Self-emp-not-inc,132589, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K.\n37, Private,112812, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,126441, Some-college,10, Married-spouse-absent, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-inc,123075, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n45, Private,207955, 5th-6th,3, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,40, Ecuador, <=50K.\n51, Private,43705, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,116968, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n59, Self-emp-not-inc,182142, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,74056, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K.\n33, Self-emp-not-inc,132565, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,256796, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K.\n62, Self-emp-inc,191520, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,80, United-States, >50K.\n37, Self-emp-not-inc,33394, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n45, Local-gov,45501, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n25, Private,74389, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n34, Private,201874, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,143804, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,55, United-States, <=50K.\n29, Local-gov,95471, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n32, Private,267458, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,70668, 10th,6, Never-married, Priv-house-serv, Other-relative, White, Female,0,0,40, United-States, <=50K.\n34, Local-gov,260782, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,52, United-States, >50K.\n50, Private,299215, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K.\n38, Private,99156, HS-grad,9, Divorced, Sales, Unmarried, White, Male,0,0,46, United-States, <=50K.\n52, Federal-gov,53905, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,94210, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,48, United-States, <=50K.\n31, Private,116508, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K.\n31, Private,176711, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Self-emp-not-inc,118058, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K.\n23, State-gov,89285, Some-college,10, Never-married, Protective-serv, Not-in-family, Other, Female,99999,0,40, United-States, >50K.\n52, Private,91093, Some-college,10, Divorced, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n33, Private,204577, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,162041, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K.\n48, Private,175615, Some-college,10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, Japan, <=50K.\n40, Private,99679, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,3103,0,43, United-States, >50K.\n22, Private,263398, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n55, Private,147653, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n58, ?,32521, 11th,7, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n43, Self-emp-inc,198871, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,88, United-States, <=50K.\n34, Private,127651, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n19, Private,143608, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n50, Local-gov,50048, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,52, United-States, >50K.\n73, ?,378922, HS-grad,9, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,20, Canada, <=50K.\n27, Private,292883, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n62, Private,190491, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K.\n57, State-gov,132145, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K.\n34, Private,126853, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K.\n22, Private,59184, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n22, Private,663291, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2105,0,40, United-States, <=50K.\n29, Local-gov,76978, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,50, United-States, <=50K.\n34, Self-emp-not-inc,196512, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,2472,35, United-States, >50K.\n17, ?,103851, 11th,7, Never-married, ?, Own-child, White, Female,0,0,45, United-States, <=50K.\n35, Private,241126, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n65, Private,266828, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, >50K.\n27, Private,204984, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1579,40, United-States, <=50K.\n46, Private,188950, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n35, Private,226528, Doctorate,16, Married-spouse-absent, Prof-specialty, Not-in-family, Other, Male,0,0,60, England, >50K.\n38, Private,268893, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n36, Private,165473, Bachelors,13, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n49, Private,447554, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n54, Self-emp-inc,304955, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K.\n30, Private,198265, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,395206, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,312667, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,2174,0,55, United-States, <=50K.\n23, Private,117767, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,36, United-States, <=50K.\n40, Private,170482, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,14344,0,45, United-States, >50K.\n29, Private,309778, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K.\n28, Private,289991, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n41, Federal-gov,255543, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n34, Private,119079, 11th,7, Married-civ-spouse, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n37, Private,318168, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,1055,0,20, United-States, <=50K.\n39, Private,67317, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,337953, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n55, Private,451603, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n30, Private,455995, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n33, State-gov,209768, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n55, Federal-gov,27385, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, State-gov,226296, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K.\n47, Private,285335, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n28, Private,376700, Bachelors,13, Never-married, Sales, Own-child, Black, Male,6849,0,50, United-States, <=50K.\n33, Private,150324, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,49, United-States, <=50K.\n62, Private,96460, HS-grad,9, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n49, ?,188141, Some-college,10, Widowed, ?, Unmarried, White, Female,0,0,60, United-States, <=50K.\n42, Private,163985, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,27, United-States, <=50K.\n63, Private,85420, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5013,0,15, United-States, <=50K.\n21, Private,416103, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n65, Self-emp-inc,224357, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Federal-gov,116062, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,194259, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,55, ?, >50K.\n33, Private,460408, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Mexico, <=50K.\n67, Self-emp-not-inc,178878, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,12, United-States, <=50K.\n36, Private,416745, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,292136, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n60, Private,176731, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,104097, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,203482, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,360224, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n67, Private,23580, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Self-emp-not-inc,195891, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n49, Private,182862, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K.\n64, Private,148956, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n24, ?,95862, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, ?,48393, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,32, United-States, <=50K.\n40, Private,132633, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,1741,40, United-States, <=50K.\n35, Local-gov,182074, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n19, State-gov,136848, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,8, United-States, <=50K.\n53, Private,197054, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n57, State-gov,243033, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Self-emp-inc,154174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n47, Private,59380, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,42, United-States, <=50K.\n38, Federal-gov,122240, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, >50K.\n38, Private,193945, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,350103, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Private,32365, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n56, Private,94345, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n24, ?,166437, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,149653, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n57, Private,157271, 11th,7, Divorced, Other-service, Not-in-family, Black, Male,0,0,54, United-States, <=50K.\n60, Private,164599, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K.\n81, Self-emp-inc,104443, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, ?, <=50K.\n46, Private,411595, 5th-6th,3, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n18, Private,198368, 11th,7, Never-married, Other-service, Own-child, White, Male,594,0,10, United-States, <=50K.\n42, Self-emp-not-inc,115932, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,158397, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,101345, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Federal-gov,48853, Masters,14, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, Cuba, <=50K.\n39, Private,38145, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K.\n31, Private,127651, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,38, United-States, >50K.\n28, Private,185896, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,47, Mexico, <=50K.\n34, State-gov,92531, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,195904, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n41, State-gov,153095, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n34, Self-emp-not-inc,581025, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,38, United-States, <=50K.\n61, Local-gov,202384, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, <=50K.\n46, Local-gov,122177, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n34, Private,405713, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n67, Private,212185, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,10, United-States, <=50K.\n36, Private,266347, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,43, United-States, <=50K.\n31, Private,49469, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n35, Self-emp-not-inc,210830, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Local-gov,188612, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n27, Private,104017, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1902,30, United-States, >50K.\n23, Private,154785, Some-college,10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n20, Private,39477, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n72, Private,99554, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,10, Poland, <=50K.\n61, Private,255978, HS-grad,9, Widowed, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n41, Local-gov,98823, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n45, Federal-gov,109598, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n24, Private,266971, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, ?,334593, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, ?,41035, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K.\n35, State-gov,238591, Some-college,10, Separated, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n44, Local-gov,117012, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,40, United-States, >50K.\n30, Private,192002, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n64, Private,137135, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K.\n69, Private,150600, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K.\n70, Private,117464, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,16, United-States, <=50K.\n42, Self-emp-not-inc,111971, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n22, Private,290044, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,35, Canada, <=50K.\n17, Private,197186, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K.\n51, Self-emp-not-inc,61127, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,236379, 11th,7, Never-married, Transport-moving, Unmarried, White, Male,0,0,30, United-States, <=50K.\n31, Private,207100, Bachelors,13, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K.\n50, Self-emp-inc,288630, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,203181, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,36, United-States, <=50K.\n43, Private,146770, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n22, Private,191789, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n32, Private,453983, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,44, United-States, <=50K.\n32, Self-emp-not-inc,106014, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n37, Private,218955, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,35, United-States, <=50K.\n62, Private,115771, Assoc-voc,11, Widowed, Sales, Unmarried, White, Female,0,0,33, United-States, <=50K.\n36, Private,305379, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K.\n29, Private,53063, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, Private,139466, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n64, State-gov,152537, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n32, Private,400535, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,330802, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n24, Private,117789, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n20, Private,330836, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,323985, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,5, United-States, >50K.\n50, Local-gov,282701, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,48, United-States, >50K.\n45, Private,180695, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,1408,40, United-States, <=50K.\n38, Private,314007, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,40, United-States, >50K.\n51, Without-pay,124963, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n47, Private,380922, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n53, Local-gov,222381, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n33, Self-emp-not-inc,656488, Assoc-voc,11, Divorced, Tech-support, Unmarried, Black, Male,0,0,50, United-States, <=50K.\n38, Private,98776, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,143050, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n17, Private,118792, 11th,7, Never-married, Sales, Other-relative, White, Female,0,0,24, United-States, <=50K.\n21, Private,154964, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n41, Private,163847, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, >50K.\n28, Private,282398, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n47, Private,78954, 11th,7, Divorced, Sales, Unmarried, White, Female,0,0,28, United-States, <=50K.\n38, Self-emp-not-inc,203988, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,55, United-States, >50K.\n54, Private,111130, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K.\n45, Private,149388, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n45, Private,39464, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, Local-gov,94064, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n44, State-gov,342510, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, United-States, >50K.\n66, Self-emp-not-inc,163726, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,10, United-States, <=50K.\n35, Private,194496, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n66, Self-emp-not-inc,298045, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K.\n24, Private,42100, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K.\n30, Private,77143, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,25, United-States, <=50K.\n38, Private,233197, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n17, Private,295120, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K.\n20, Private,85021, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n54, ?,191659, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,244194, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,5178,0,40, United-States, >50K.\n32, Local-gov,287229, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,30, Japan, <=50K.\n18, Private,324046, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n33, State-gov,65018, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,20, China, <=50K.\n37, Private,421633, Assoc-voc,11, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n28, Private,93235, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n60, Local-gov,227232, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n30, ?,121775, Assoc-voc,11, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n36, Private,65382, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n19, Private,179422, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n53, Federal-gov,276868, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n57, Private,87317, 10th,6, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n32, Private,108247, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K.\n32, Private,197505, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,127493, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,2, United-States, <=50K.\n51, Private,75640, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n38, ?,320811, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Local-gov,247053, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,119735, 9th,5, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n29, Private,157950, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n40, Private,113732, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n52, Self-emp-inc,224763, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Cuba, <=50K.\n42, Self-emp-not-inc,40024, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,66, United-States, <=50K.\n42, Self-emp-not-inc,296594, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n43, Federal-gov,53956, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, >50K.\n38, Self-emp-inc,71009, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,7298,0,40, ?, >50K.\n34, Private,191834, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,107236, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n47, Private,231284, HS-grad,9, Never-married, Farming-fishing, Not-in-family, Other, Male,0,0,40, Puerto-Rico, <=50K.\n31, State-gov,203488, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,41721, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, Private,205100, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,80, United-States, >50K.\n57, Private,75673, Some-college,10, Widowed, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n28, ?,105598, 11th,7, Never-married, ?, Not-in-family, White, Male,0,1762,40, Outlying-US(Guam-USVI-etc), <=50K.\n63, Self-emp-not-inc,177832, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K.\n24, Private,478457, 11th,7, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,30, United-States, <=50K.\n28, Local-gov,194759, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,1669,90, United-States, <=50K.\n64, Self-emp-not-inc,30310, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n29, Private,130010, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,170302, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Male,0,0,38, United-States, <=50K.\n46, Private,120080, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n77, Private,183781, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Female,0,0,5, United-States, <=50K.\n31, Private,422836, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n46, Private,266860, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n25, Private,393456, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n20, State-gov,318382, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,354520, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K.\n47, Private,123425, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,41, United-States, <=50K.\n52, Private,123989, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,175778, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n28, State-gov,73928, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, >50K.\n31, Private,33731, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n41, Private,557349, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,255252, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n40, Private,219164, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,5178,0,40, United-States, >50K.\n21, Local-gov,129050, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K.\n61, Private,111797, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,32, United-States, <=50K.\n34, Private,192900, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n44, Private,56651, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,51961, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,55, Philippines, <=50K.\n37, Private,141584, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,47, United-States, <=50K.\n18, Private,421350, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K.\n52, Private,24740, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1740,55, United-States, <=50K.\n31, Local-gov,498267, HS-grad,9, Separated, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n21, Private,117583, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,191455, Some-college,10, Married-civ-spouse, Tech-support, Wife, Other, Female,0,0,15, United-States, <=50K.\n22, Private,135716, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,27766, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,323919, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n73, Local-gov,114561, 5th-6th,3, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,25, Philippines, <=50K.\n17, Private,216137, 9th,5, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n49, Private,165539, HS-grad,9, Widowed, Exec-managerial, Not-in-family, Black, Female,0,0,35, United-States, <=50K.\n42, Private,32016, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, United-States, >50K.\n35, Private,89040, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n45, Private,264514, Bachelors,13, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n50, Private,24790, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,181139, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,42, United-States, <=50K.\n18, Private,168514, 10th,6, Never-married, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K.\n17, Private,354493, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,6, United-States, <=50K.\n33, Private,206707, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n43, Private,230684, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n43, Local-gov,192381, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Private,397752, HS-grad,9, Married-spouse-absent, Farming-fishing, Other-relative, White, Male,0,0,12, Mexico, <=50K.\n52, State-gov,120173, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,228394, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n83, Private,186112, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,272237, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n45, Federal-gov,169711, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,15024,0,72, United-States, >50K.\n40, Self-emp-not-inc,172560, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Private,213700, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,32, United-States, >50K.\n23, Private,181820, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,120361, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n47, Local-gov,169324, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,4386,0,35, United-States, >50K.\n32, Private,262092, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K.\n24, Private,143436, Bachelors,13, Never-married, Prof-specialty, Own-child, Other, Female,0,0,10, ?, <=50K.\n43, Private,147099, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K.\n55, Private,138594, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,56, United-States, >50K.\n58, Self-emp-not-inc,100606, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n25, Private,350850, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K.\n23, Private,66432, Some-college,10, Separated, Sales, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n44, Local-gov,229148, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n20, Private,236601, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n46, Private,144844, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,42, United-States, <=50K.\n19, Private,366088, 9th,5, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Private,162164, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,442478, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K.\n25, Private,181814, 11th,7, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n49, Private,175109, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,40, United-States, >50K.\n34, Self-emp-inc,152109, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,246891, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K.\n30, Private,164802, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Other, Female,8614,0,40, India, >50K.\n21, Private,57711, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Local-gov,117789, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n67, Private,120900, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K.\n28, Private,114673, Masters,14, Never-married, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n45, Private,78529, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n46, Private,282165, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n48, Private,149337, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, >50K.\n56, Private,250517, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n65, ?,76131, HS-grad,9, Never-married, ?, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n40, Private,352971, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n20, ?,243981, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K.\n55, ?,421228, Masters,14, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K.\n56, Private,94156, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,306868, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n43, Private,187164, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n32, Private,179415, 10th,6, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n64, Private,45776, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,1762,79, United-States, <=50K.\n62, Private,256723, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,31909, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n68, Private,90526, 12th,8, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K.\n35, ?,127306, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n24, Private,179423, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K.\n39, Private,140169, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n29, Private,37359, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K.\n24, Private,125813, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female,0,0,45, United-States, <=50K.\n33, Private,209415, 10th,6, Divorced, Protective-serv, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n41, Private,206619, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,283737, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Private,162187, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n30, Self-emp-inc,191571, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n59, Private,33725, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n34, Private,236543, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,1590,40, United-States, <=50K.\n26, Federal-gov,73047, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,32, United-States, <=50K.\n20, Private,230574, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K.\n32, Private,178109, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,36, United-States, <=50K.\n58, Private,282023, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n31, Local-gov,101761, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,98168, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, >50K.\n22, Private,287681, 11th,7, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n39, ?,265685, Some-college,10, Divorced, ?, Not-in-family, White, Male,0,0,65, Puerto-Rico, <=50K.\n38, State-gov,91670, Some-college,10, Divorced, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n30, State-gov,61989, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,5, United-States, <=50K.\n23, Private,138513, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Self-emp-not-inc,95423, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n31, Federal-gov,30917, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, <=50K.\n20, ?,316304, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n58, Private,102791, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, Private,416506, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,14084,0,36, United-States, >50K.\n20, Self-emp-inc,245611, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K.\n47, Federal-gov,655066, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0,0,40, Peru, >50K.\n57, Self-emp-not-inc,87584, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n47, Self-emp-not-inc,304223, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Local-gov,40690, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,60, United-States, >50K.\n18, Private,348131, 11th,7, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K.\n64, Private,191477, 5th-6th,3, Widowed, Priv-house-serv, Unmarried, Black, Female,0,0,4, United-States, <=50K.\n29, Private,115438, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K.\n47, Federal-gov,176917, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, >50K.\n40, ?,104196, HS-grad,9, Separated, ?, Own-child, White, Male,0,0,45, United-States, <=50K.\n28, Private,202182, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,308239, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,4, United-States, <=50K.\n34, Private,163581, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,10520,0,40, Puerto-Rico, >50K.\n34, Local-gov,211239, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,6497,0,40, United-States, <=50K.\n31, Private,121321, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,51, United-States, <=50K.\n23, State-gov,120172, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n20, Private,190916, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,1721,20, United-States, <=50K.\n25, Private,340288, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,426431, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-inc,226027, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n28, Private,278736, 12th,8, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n48, Private,168462, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n18, ?,379070, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n43, Private,214541, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, Canada, <=50K.\n52, Self-emp-inc,29887, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n53, Self-emp-not-inc,138022, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n57, Self-emp-inc,208018, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n45, Private,126876, HS-grad,9, Divorced, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, Private,182703, Masters,14, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,36, United-States, <=50K.\n34, Private,161153, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K.\n44, Self-emp-not-inc,168443, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n25, Private,335522, 9th,5, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n27, Private,220104, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1876,50, United-States, <=50K.\n28, ?,162312, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,40, South, <=50K.\n36, Private,104772, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,161472, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,91506, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n19, Private,186717, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n53, Private,77927, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Female,0,0,50, Philippines, <=50K.\n55, Private,140063, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Self-emp-inc,317580, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,122533, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,57423, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n45, Private,103331, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n64, State-gov,417543, Doctorate,16, Widowed, Prof-specialty, Not-in-family, Black, Male,8614,0,50, United-States, >50K.\n56, Private,253854, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n56, Private,106850, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Self-emp-inc,314007, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,78, United-States, <=50K.\n23, Private,494371, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n29, Local-gov,270421, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n33, Private,203488, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,40, United-States, <=50K.\n35, Private,167691, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,20, United-States, <=50K.\n25, Private,198318, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n37, Private,319831, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K.\n28, Private,70240, Masters,14, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,36, Philippines, <=50K.\n67, Private,227113, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2457,40, United-States, <=50K.\n22, Private,168997, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, State-gov,231929, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n22, Private,207969, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Male,0,0,35, United-States, <=50K.\n68, Private,192656, Some-college,10, Widowed, Craft-repair, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n31, Private,187215, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, El-Salvador, <=50K.\n51, Self-emp-inc,119570, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n64, Private,188659, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, >50K.\n35, Private,110013, Bachelors,13, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n26, Private,55860, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n42, Self-emp-inc,282069, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Federal-gov,26585, HS-grad,9, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0,0,25, United-States, <=50K.\n46, Self-emp-inc,218890, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n35, Private,211154, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n51, Private,230095, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Private,737315, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K.\n50, Private,144084, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Self-emp-not-inc,48384, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n51, Private,541755, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,178778, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,1340,40, United-States, <=50K.\n28, Private,436198, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n37, Private,82521, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,4064,0,46, United-States, <=50K.\n39, Private,367020, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,174461, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,162501, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,193026, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,218172, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,13550,0,60, United-States, >50K.\n41, Private,110318, Masters,14, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K.\n36, Private,126675, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1579,40, United-States, <=50K.\n24, Private,116788, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,161092, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,159109, 11th,7, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,213191, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K.\n49, Private,240629, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n17, Private,227960, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,10, Puerto-Rico, <=50K.\n54, Private,151580, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, France, >50K.\n41, Private,160893, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n35, Local-gov,184117, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K.\n18, Private,32059, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,23, United-States, <=50K.\n42, Private,361219, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n60, Private,334984, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,2231,40, United-States, >50K.\n49, Self-emp-not-inc,33300, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K.\n57, Private,199713, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K.\n43, Private,401134, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Female,0,2238,40, United-States, <=50K.\n37, Private,132702, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, ?,306693, Some-college,10, Married-civ-spouse, ?, Other-relative, White, Female,0,0,20, United-States, <=50K.\n20, Private,286166, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n57, Private,123515, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,132053, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n20, Self-emp-inc,266400, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, Local-gov,335248, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n81, Private,36147, Prof-school,15, Married-civ-spouse, Farming-fishing, Husband, White, Male,10605,0,2, United-States, >50K.\n21, Private,266467, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,2205,40, United-States, <=50K.\n43, Private,143809, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,334366, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, >50K.\n41, Private,347653, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K.\n32, Private,386806, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,45, Mexico, >50K.\n48, Private,202322, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n50, Private,594521, 9th,5, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Private,174267, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,64, United-States, <=50K.\n18, ?,169542, 12th,8, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n54, Private,227392, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Federal-gov,99131, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K.\n38, Self-emp-inc,225860, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K.\n53, Private,287317, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n42, Private,46091, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n53, Private,170050, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, State-gov,352317, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n56, Private,225267, Some-college,10, Divorced, Sales, Not-in-family, White, Male,14084,0,60, United-States, >50K.\n28, Private,217545, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, ?, <=50K.\n33, Private,183778, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,210013, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,49115, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,44, United-States, >50K.\n31, Private,310429, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n33, Private,114691, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n46, Private,124356, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,51284, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,36, United-States, <=50K.\n47, ?,294443, Assoc-voc,11, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,200009, 10th,6, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,258862, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,18, United-States, <=50K.\n35, Private,37778, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Private,402771, HS-grad,9, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, Federal-gov,201520, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,43, United-States, >50K.\n47, Local-gov,55237, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,44, United-States, <=50K.\n63, ?,52750, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n63, Local-gov,197189, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,4650,0,48, United-States, <=50K.\n39, Private,96564, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,334105, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K.\n41, Private,115323, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,157289, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,52, United-States, <=50K.\n52, Private,320877, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K.\n64, Self-emp-not-inc,198186, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, ?, <=50K.\n62, Private,195543, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, >50K.\n48, Private,103406, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,35, United-States, >50K.\n22, ?,320451, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,24, ?, <=50K.\n18, Private,23940, Some-college,10, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n46, Private,45857, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,33, United-States, <=50K.\n29, Private,195557, Assoc-acdm,12, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Private,229148, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,35, United-States, <=50K.\n21, ?,152328, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Private,186157, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n60, Private,127712, Assoc-voc,11, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,45, Poland, <=50K.\n24, Private,254351, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K.\n61, Private,182163, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n34, Private,442656, 11th,7, Never-married, Sales, Unmarried, White, Female,0,0,65, Guatemala, <=50K.\n30, Private,111363, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Local-gov,491000, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, Black, Male,0,0,40, United-States, <=50K.\n45, State-gov,156065, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Private,243743, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n47, Self-emp-not-inc,173938, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,2258,20, United-States, <=50K.\n37, Private,86308, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K.\n35, Private,216068, Assoc-acdm,12, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n23, Private,237432, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n34, Private,177216, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n27, Private,212895, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,122749, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Germany, <=50K.\n44, Private,254303, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Hungary, >50K.\n20, Private,73679, HS-grad,9, Never-married, Transport-moving, Own-child, White, Female,0,0,35, United-States, <=50K.\n30, Private,455995, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,214288, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1848,48, United-States, >50K.\n28, Private,228075, 5th-6th,3, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Hong, <=50K.\n35, Private,412017, 10th,6, Divorced, Sales, Unmarried, White, Female,0,0,38, United-States, <=50K.\n41, Private,236900, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,289442, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Local-gov,237298, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n36, State-gov,47072, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,8, United-States, <=50K.\n25, Private,197036, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n19, State-gov,175507, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,18, United-States, <=50K.\n53, Private,350131, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,48, United-States, >50K.\n35, Private,150057, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,48, United-States, <=50K.\n40, Self-emp-inc,190650, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,45, South, >50K.\n27, Private,430672, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n50, Private,99316, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n47, ?,191776, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,8, United-States, <=50K.\n33, Private,97723, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,50, United-States, >50K.\n28, ?,197288, 11th,7, Never-married, ?, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n36, Private,239409, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n48, Private,195554, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, Self-emp-not-inc,76855, Some-college,10, Divorced, Transport-moving, Unmarried, White, Female,0,0,53, United-States, <=50K.\n43, Private,281315, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n76, Local-gov,224058, 10th,6, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,20, United-States, <=50K.\n23, Private,232799, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,2977,0,55, United-States, <=50K.\n29, Private,174163, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n57, Private,47178, 5th-6th,3, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n62, Self-emp-not-inc,97950, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,6, United-States, <=50K.\n26, Private,342765, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K.\n42, Local-gov,209818, Bachelors,13, Divorced, Prof-specialty, Other-relative, White, Female,0,0,55, United-States, <=50K.\n36, Private,349534, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,31, United-States, >50K.\n43, Self-emp-inc,170214, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, <=50K.\n28, Private,145284, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,124161, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n48, Private,105357, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, Private,355700, Prof-school,15, Married-AF-spouse, Prof-specialty, Wife, White, Female,99999,0,60, United-States, >50K.\n30, Private,99928, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Private,308739, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n58, Self-emp-inc,179781, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K.\n52, Federal-gov,297906, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K.\n25, Private,189663, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,339029, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n39, Self-emp-not-inc,87076, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, >50K.\n18, Private,109928, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n55, Private,218456, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Local-gov,176756, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,75, United-States, >50K.\n69, ?,214923, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, >50K.\n21, Private,191789, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, ?, <=50K.\n19, Private,238383, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n21, Private,315476, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,25, United-States, <=50K.\n36, Private,195148, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n49, ?,174274, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,80, United-States, <=50K.\n42, Private,143208, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,40, ?, <=50K.\n40, Private,30201, Assoc-voc,11, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n35, Self-emp-inc,200352, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K.\n31, Private,117028, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,30, Poland, <=50K.\n45, Private,44489, HS-grad,9, Widowed, Farming-fishing, Unmarried, White, Male,0,0,65, United-States, <=50K.\n52, Private,236222, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,496856, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n29, Private,132675, 11th,7, Separated, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n42, Private,89226, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n36, ?,112660, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n61, Federal-gov,294466, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n58, Private,201011, 7th-8th,4, Separated, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n47, Private,27624, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,65, United-States, >50K.\n31, Private,385959, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n53, Private,214691, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, <=50K.\n34, Private,196253, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n62, Local-gov,242341, Some-college,10, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n23, Private,195016, Some-college,10, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,35, United-States, <=50K.\n47, Private,174794, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, England, >50K.\n59, Self-emp-not-inc,134470, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,2635,0,60, United-States, <=50K.\n17, Private,166360, 10th,6, Never-married, Craft-repair, Own-child, White, Female,0,0,30, United-States, <=50K.\n40, Local-gov,26671, Bachelors,13, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,589838, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, <=50K.\n45, Private,149169, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n46, Private,287920, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K.\n57, Private,56080, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K.\n22, State-gov,211798, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K.\n30, Private,415266, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,147110, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,228873, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,60, United-States, >50K.\n40, Private,305348, 9th,5, Never-married, Craft-repair, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n50, Federal-gov,189831, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,50, United-States, >50K.\n45, Private,247379, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Federal-gov,198841, Some-college,10, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,364986, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1628,47, United-States, <=50K.\n31, Private,203488, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, >50K.\n31, Private,141118, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K.\n49, Self-emp-not-inc,155862, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K.\n46, Private,324550, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,174353, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K.\n82, Self-emp-not-inc,181912, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,12, United-States, <=50K.\n45, Private,168191, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,37, United-States, >50K.\n35, ?,216068, Assoc-acdm,12, Married-civ-spouse, ?, Wife, White, Female,5178,0,12, United-States, >50K.\n41, Private,125461, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n21, Private,162688, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,234406, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n41, State-gov,114537, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n40, Private,68111, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n44, Private,322799, HS-grad,9, Separated, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n21, Private,479296, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K.\n39, Private,323385, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K.\n63, Private,162772, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, >50K.\n53, Private,27166, HS-grad,9, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,10520,0,40, United-States, >50K.\n55, ?,142642, HS-grad,9, Married-spouse-absent, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n19, Private,162954, Some-college,10, Married-AF-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, United-States, <=50K.\n45, Federal-gov,90533, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n52, Private,234286, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,84, United-States, <=50K.\n17, Private,355559, 12th,8, Never-married, Prof-specialty, Own-child, White, Male,0,0,18, United-States, <=50K.\n35, Private,32528, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,132847, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n46, Private,279724, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n50, Private,30827, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n25, Private,179772, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n39, Private,112264, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,93690, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n52, Local-gov,178983, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n55, ?,194740, 10th,6, Widowed, ?, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n48, Local-gov,283037, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,312485, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,32, United-States, <=50K.\n30, Private,202450, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n29, Local-gov,272569, 10th,6, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,231865, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,195693, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, Jamaica, <=50K.\n27, Private,108574, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n58, Self-emp-not-inc,605504, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n19, Self-emp-not-inc,140985, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, England, <=50K.\n22, State-gov,160369, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K.\n29, Private,303440, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Private,263871, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,28338, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Self-emp-inc,298624, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, >50K.\n41, Private,139126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K.\n57, Private,197994, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,32, United-States, <=50K.\n34, Local-gov,241259, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n80, Self-emp-not-inc,248568, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K.\n59, Self-emp-not-inc,304779, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n58, Private,143266, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,169719, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K.\n34, Private,257128, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Private,78507, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,490332, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K.\n32, Private,244200, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, Puerto-Rico, <=50K.\n44, Self-emp-not-inc,95298, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K.\n23, Private,329174, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,107142, 12th,8, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n39, State-gov,33975, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n26, Private,201579, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n39, Self-emp-not-inc,122852, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n35, Private,272742, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,27828,0,60, United-States, >50K.\n53, Private,161691, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,4865,0,40, United-States, <=50K.\n41, Local-gov,223410, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n90, Private,250832, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,2414,0,40, United-States, <=50K.\n44, Local-gov,282069, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,369164, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n81, Self-emp-not-inc,218521, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,21, United-States, <=50K.\n19, Private,136405, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n40, Private,199018, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n28, Local-gov,299249, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n50, Private,235567, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,52, United-States, <=50K.\n51, Self-emp-not-inc,73493, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n54, Private,320012, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n37, Self-emp-inc,183898, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n31, State-gov,190027, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n31, Private,87891, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,304001, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n40, Private,171424, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n19, Private,123807, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n22, ?,210802, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,24, United-States, <=50K.\n25, Private,80220, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,216413, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n23, Private,423453, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,16, United-States, <=50K.\n30, Private,178835, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n35, Private,304001, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,167482, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n32, Private,26543, Some-college,10, Separated, Prof-specialty, Not-in-family, White, Male,0,2231,40, United-States, >50K.\n52, Private,176409, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n46, State-gov,87018, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n24, Private,251603, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n44, Local-gov,366180, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n42, Private,186916, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,55, United-States, >50K.\n30, Self-emp-not-inc,164461, 11th,7, Divorced, Sales, Unmarried, White, Male,0,653,40, United-States, <=50K.\n42, Private,54102, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n48, Self-emp-not-inc,199058, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, >50K.\n22, Private,293324, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Private,96798, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n65, Self-emp-not-inc,132340, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,3, United-States, <=50K.\n45, Private,175925, Bachelors,13, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n17, Self-emp-not-inc,33230, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,15, United-States, <=50K.\n20, Local-gov,298871, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,10, United-States, <=50K.\n26, Private,142760, Assoc-voc,11, Never-married, Sales, Not-in-family, Black, Male,0,0,50, United-States, <=50K.\n30, Private,200700, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, Private,117310, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,60, ?, <=50K.\n44, Private,238188, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,354496, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Private,416541, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K.\n52, Private,42902, 9th,5, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n30, Private,180317, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Private,378581, 12th,8, Never-married, Protective-serv, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n45, Local-gov,213620, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n58, Private,186905, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,99999,0,40, United-States, >50K.\n47, Private,182054, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n64, Local-gov,189634, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n25, Local-gov,170070, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n42, Private,445382, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Self-emp-inc,168211, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, >50K.\n22, Private,341760, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n26, Private,152452, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,558752, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,3674,0,40, United-States, <=50K.\n28, Private,153813, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K.\n54, Private,81859, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n47, Self-emp-not-inc,51664, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n46, Private,334421, Bachelors,13, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female,0,0,40, China, <=50K.\n35, Private,239415, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K.\n57, Local-gov,62701, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Male,6849,0,40, United-States, <=50K.\n37, Self-emp-inc,347491, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n54, Local-gov,108739, 11th,7, Widowed, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n34, Private,340917, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,2174,0,45, United-States, <=50K.\n54, Federal-gov,160636, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n49, Private,116927, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n24, Private,179423, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n18, Private,347829, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,4, United-States, <=50K.\n62, Self-emp-not-inc,56317, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, >50K.\n37, Self-emp-inc,347189, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n42, Private,201520, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n43, Private,43533, 5th-6th,3, Separated, Other-service, Other-relative, White, Female,0,0,40, El-Salvador, <=50K.\n20, Private,313786, HS-grad,9, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n36, Private,367216, Some-college,10, Married-spouse-absent, Other-service, Own-child, White, Female,0,0,28, United-States, <=50K.\n23, Private,408988, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n48, Private,175662, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,24, United-States, <=50K.\n77, Self-emp-not-inc,161552, Preschool,1, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n26, Private,311743, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,39, United-States, <=50K.\n25, Private,323229, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,163204, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1740,40, United-States, <=50K.\n25, Private,201481, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,154210, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K.\n36, Local-gov,247547, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n51, Self-emp-inc,254230, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,58, United-States, >50K.\n33, Private,156464, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K.\n31, Private,108322, Some-college,10, Married-AF-spouse, Craft-repair, Husband, White, Male,0,0,28, United-States, <=50K.\n33, Private,213179, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,160122, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n64, ?,80392, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K.\n36, Local-gov,254202, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,24, Germany, <=50K.\n26, State-gov,232914, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Local-gov,206609, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,1876,40, United-States, <=50K.\n33, Private,44623, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n22, ?,199005, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Private,403344, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,118577, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,25, United-States, >50K.\n37, Private,122889, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7298,0,40, Taiwan, >50K.\n23, Private,196508, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,24, United-States, <=50K.\n26, Private,40915, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,143774, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K.\n22, Private,173004, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,1, United-States, <=50K.\n49, Private,353824, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K.\n53, Private,171058, Some-college,10, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K.\n40, Private,335400, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Dominican-Republic, <=50K.\n30, Local-gov,263650, Bachelors,13, Never-married, Sales, Unmarried, Black, Female,0,0,17, United-States, <=50K.\n59, Private,187025, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n49, Private,149218, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K.\n26, Private,190916, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,240989, 1st-4th,2, Married-civ-spouse, Farming-fishing, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n47, Private,216093, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,40, United-States, >50K.\n42, Private,111483, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n24, Private,214810, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n46, Private,165402, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,5178,0,40, United-States, >50K.\n50, Federal-gov,36489, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,173923, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n20, Private,273147, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n18, Private,113814, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n41, Private,118768, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n62, Federal-gov,34916, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,73023, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n46, State-gov,179869, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Federal-gov,259131, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Male,5455,0,40, United-States, <=50K.\n52, Private,257756, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Germany, <=50K.\n53, Private,448862, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n31, Private,150553, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n30, Private,205152, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K.\n26, Private,220499, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n19, Private,134252, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n20, Private,175808, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Private,185621, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n24, Private,278391, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K.\n22, Self-emp-not-inc,174907, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K.\n40, Private,175642, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, >50K.\n24, Self-emp-not-inc,216889, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n34, Private,183557, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n24, Private,196674, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,169188, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n46, Private,203785, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n49, Private,196707, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n37, Private,190297, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K.\n18, Private,255595, 11th,7, Never-married, Prof-specialty, Own-child, White, Male,0,0,5, United-States, <=50K.\n38, Self-emp-not-inc,374983, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n21, Private,176178, Bachelors,13, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,35, United-States, <=50K.\n35, Private,181165, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n43, Local-gov,212490, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n61, Private,215766, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n46, Private,261688, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Private,123417, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n29, Private,108431, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,2415,40, United-States, >50K.\n58, Private,32954, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,224752, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,122353, 11th,7, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n37, Private,176159, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,189407, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n26, Private,181772, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,109133, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,165229, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n23, State-gov,315449, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K.\n40, Private,37848, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n37, Federal-gov,54595, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n20, ?,127914, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n20, Private,121596, Some-college,10, Never-married, Other-service, Own-child, White, Female,2907,0,35, United-States, <=50K.\n38, Private,95336, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n40, ?,299197, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,23, United-States, <=50K.\n58, Private,299991, 11th,7, Divorced, Adm-clerical, Not-in-family, White, Female,3674,0,40, United-States, <=50K.\n28, Private,70034, 9th,5, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Portugal, <=50K.\n30, Private,256970, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K.\n29, Private,108706, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K.\n52, Private,227832, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n26, Private,272865, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,60070, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K.\n40, Private,223730, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K.\n51, Self-emp-not-inc,22743, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1740,40, United-States, <=50K.\n26, Private,195994, Bachelors,13, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, ?,181242, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n64, Private,133169, 11th,7, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, India, <=50K.\n22, Private,99199, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K.\n40, Private,246949, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,284889, Bachelors,13, Widowed, Sales, Unmarried, White, Female,0,0,41, United-States, <=50K.\n35, Private,150309, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,1887,40, United-States, >50K.\n24, Private,201799, Bachelors,13, Never-married, Transport-moving, Own-child, White, Female,0,0,84, United-States, <=50K.\n58, Private,52090, Prof-school,15, Divorced, Tech-support, Unmarried, White, Male,0,0,40, United-States, >50K.\n83, Local-gov,107338, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Male,0,0,12, United-States, <=50K.\n45, Private,32356, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n47, Private,50092, Bachelors,13, Divorced, Exec-managerial, Unmarried, Other, Male,0,1138,40, United-States, <=50K.\n28, Private,311446, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Federal-gov,128553, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n23, Private,203203, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Self-emp-not-inc,429281, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, ?, <=50K.\n31, Private,192660, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n30, Local-gov,170449, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n57, ?,221417, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n80, ?,156942, 1st-4th,2, Separated, ?, Not-in-family, Black, Male,0,0,15, United-States, <=50K.\n21, Private,177504, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K.\n24, Private,378546, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,39, United-States, <=50K.\n39, Self-emp-not-inc,33001, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,213722, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K.\n36, Private,152307, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,55, United-States, >50K.\n61, Self-emp-not-inc,53777, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n23, Private,60668, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,55, United-States, <=50K.\n34, Private,132544, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,99, United-States, <=50K.\n53, Private,277772, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n23, Private,415755, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n51, Private,136080, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,31, United-States, <=50K.\n29, Private,241607, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,2597,0,40, United-States, <=50K.\n22, Private,180190, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, Private,400356, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n55, Federal-gov,154274, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,8614,0,40, United-States, >50K.\n48, Private,146497, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,37, United-States, <=50K.\n47, Private,189498, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,65, United-States, >50K.\n32, Private,65942, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,56, United-States, <=50K.\n27, Self-emp-not-inc,151382, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n41, Private,56651, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n25, Private,164488, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K.\n27, Local-gov,183061, HS-grad,9, Never-married, Farming-fishing, Own-child, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K.\n31, Private,289228, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, <=50K.\n28, Private,38918, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n23, Private,194630, HS-grad,9, Separated, Machine-op-inspct, Own-child, White, Male,0,0,53, United-States, <=50K.\n31, Private,262848, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,157595, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n26, Private,102476, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Local-gov,93663, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K.\n30, Private,202450, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Private,72393, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n27, Private,53147, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n29, Self-emp-not-inc,337944, 11th,7, Separated, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n31, Private,37939, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n57, Private,118993, 9th,5, Married-civ-spouse, Transport-moving, Other-relative, White, Female,0,0,40, ?, <=50K.\n60, Private,772919, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K.\n26, Private,143062, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n31, Local-gov,32593, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,167882, 12th,8, Never-married, Other-service, Unmarried, Black, Female,0,0,48, Haiti, <=50K.\n52, Local-gov,48413, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,123429, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,244261, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n37, State-gov,318891, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n20, Private,259788, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,248876, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,55, United-States, <=50K.\n63, Federal-gov,334418, 1st-4th,2, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, Puerto-Rico, <=50K.\n38, Self-emp-not-inc,166497, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K.\n54, Self-emp-not-inc,260833, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, >50K.\n35, Private,107477, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Private,37932, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n58, Self-emp-not-inc,216948, 10th,6, Separated, Sales, Other-relative, Other, Male,0,0,40, Cuba, <=50K.\n38, Private,157473, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K.\n21, ?,117222, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Self-emp-inc,186733, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n53, Private,231472, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n31, Local-gov,187689, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,323985, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n53, Private,270655, 12th,8, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K.\n36, Private,301614, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, Mexico, <=50K.\n25, Private,112754, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n23, ?,35633, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, ?, <=50K.\n30, Self-emp-not-inc,112358, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n57, Self-emp-not-inc,247337, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,72, United-States, <=50K.\n40, Self-emp-inc,115411, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K.\n42, State-gov,884434, Some-college,10, Separated, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n55, Private,72812, HS-grad,9, Separated, Sales, Not-in-family, White, Male,0,0,36, United-States, <=50K.\n26, Private,192549, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-not-inc,54310, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,50, United-States, <=50K.\n58, Self-emp-not-inc,33386, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,20, United-States, <=50K.\n30, Private,233433, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,45, United-States, <=50K.\n24, Private,106373, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n60, Private,215591, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n39, Private,184531, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,69495, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n63, Self-emp-not-inc,22228, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,55899, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Self-emp-inc,181498, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n31, State-gov,203572, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K.\n23, Private,120601, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n36, Private,74706, 10th,6, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K.\n59, ?,259673, Some-college,10, Married-civ-spouse, ?, Husband, Other, Male,0,0,40, Puerto-Rico, <=50K.\n48, Private,126441, 1st-4th,2, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,45, China, <=50K.\n25, Private,127784, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n43, Private,33658, Some-college,10, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,3004,40, United-States, >50K.\n36, Private,234901, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,34307, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n75, Private,124660, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K.\n29, Private,278637, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,373545, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n17, Private,172548, 9th,5, Never-married, Sales, Own-child, White, Male,0,0,8, United-States, <=50K.\n46, Private,28074, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,89, United-States, >50K.\n58, Self-emp-not-inc,127539, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,25, United-States, <=50K.\n25, ?,180246, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,1408,40, United-States, <=50K.\n34, State-gov,377017, Masters,14, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K.\n41, Private,144925, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n51, ?,156877, 9th,5, Separated, ?, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n19, Private,153019, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Private,32825, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n46, Private,114120, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n36, ?,92440, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,32016, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n51, Private,165953, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,45, United-States, <=50K.\n21, Private,96061, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K.\n50, Private,106422, HS-grad,9, Married-civ-spouse, Sales, Wife, Black, Female,0,1485,37, United-States, >50K.\n49, Self-emp-not-inc,167281, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,137895, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n52, Private,177487, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,344696, Some-college,10, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n66, Self-emp-not-inc,51415, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,4931,0,98, United-States, <=50K.\n36, Private,134367, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,32, United-States, >50K.\n40, Private,289636, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n30, Private,165115, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K.\n20, Private,206008, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n22, State-gov,149342, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K.\n48, Self-emp-not-inc,90042, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,49, United-States, <=50K.\n22, Private,495288, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K.\n22, Private,234970, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,40, ?, <=50K.\n51, Self-emp-not-inc,123011, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,260454, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n19, Private,39026, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,278021, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,159399, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K.\n34, Private,340665, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,2057,35, United-States, <=50K.\n34, State-gov,392518, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n24, Private,229826, Bachelors,13, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K.\n62, Private,185503, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n25, Private,399117, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K.\n45, Private,168232, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, >50K.\n42, Private,377322, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n71, Self-emp-not-inc,141742, HS-grad,9, Widowed, Farming-fishing, Unmarried, White, Male,1731,0,5, United-States, <=50K.\n39, Private,31964, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K.\n45, Self-emp-not-inc,29019, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,55, United-States, <=50K.\n67, ?,183420, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,21, United-States, <=50K.\n36, Private,305319, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n35, Private,182189, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n39, Private,257250, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n60, Self-emp-not-inc,269485, Preschool,1, Divorced, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n32, Self-emp-not-inc,182177, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,179481, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Poland, <=50K.\n27, Private,199118, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Nicaragua, <=50K.\n46, Private,33084, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,185407, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n38, Self-emp-not-inc,177907, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,145441, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,40, United-States, >50K.\n25, Private,104830, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K.\n27, Private,247507, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n71, Self-emp-inc,216601, 11th,7, Divorced, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n28, Local-gov,91670, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n58, Private,106740, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n57, Private,122562, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n35, Private,109133, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,3674,0,52, United-States, <=50K.\n35, Private,196123, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n55, Private,123436, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n56, Self-emp-inc,42298, 9th,5, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K.\n44, Private,297248, HS-grad,9, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,40, Columbia, <=50K.\n23, Private,117363, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n41, Private,79864, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n51, Private,190762, 1st-4th,2, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n46, Private,155509, Bachelors,13, Separated, Prof-specialty, Unmarried, Black, Female,0,0,32, Jamaica, <=50K.\n45, Federal-gov,163434, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,153832, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n53, Federal-gov,147629, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, >50K.\n33, Private,488720, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n49, Private,169180, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,1876,35, United-States, <=50K.\n37, Private,188763, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n37, Private,229647, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,42, United-States, <=50K.\n57, Self-emp-not-inc,321456, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K.\n24, Private,199698, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, <=50K.\n32, Private,226010, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n28, Private,116298, 7th-8th,4, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n33, Private,130057, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n27, Private,369188, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,90, United-States, >50K.\n32, Private,155193, HS-grad,9, Separated, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n33, Private,159574, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,299353, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,56, United-States, <=50K.\n46, Local-gov,99971, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, >50K.\n65, Private,190160, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K.\n67, Private,283416, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n60, Private,224277, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K.\n30, Private,111567, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,48, United-States, <=50K.\n53, Private,151411, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n34, Private,346736, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Female,0,0,50, United-States, <=50K.\n26, Private,264055, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,55, United-States, <=50K.\n22, Private,309620, HS-grad,9, Never-married, Sales, Not-in-family, Other, Male,0,0,45, ?, <=50K.\n39, Private,224541, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,235334, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,99999,0,60, United-States, >50K.\n22, Private,296158, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,153997, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,231482, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,278553, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,38, United-States, <=50K.\n56, Private,91251, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,20, China, <=50K.\n47, Self-emp-not-inc,192053, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n47, Private,207120, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n46, Self-emp-inc,125892, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K.\n34, Private,186824, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,200471, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,2415,40, United-States, >50K.\n22, Private,117779, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n23, Private,44793, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n33, Private,37646, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, <=50K.\n45, Private,174127, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,110103, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,1762,40, United-States, <=50K.\n20, Private,74631, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K.\n32, Private,211239, Some-college,10, Married-AF-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n26, ?,157008, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,90406, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,60, United-States, <=50K.\n27, Private,199998, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,32, United-States, <=50K.\n73, Private,132350, 7th-8th,4, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,18, United-States, <=50K.\n61, Private,233427, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n52, Local-gov,71489, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,40, United-States, <=50K.\n34, Self-emp-inc,119411, Some-college,10, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n35, Private,351772, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n27, Local-gov,34254, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,178693, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n47, Private,168262, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n58, Private,34169, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,3103,0,25, United-States, >50K.\n31, Private,328118, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n39, Self-emp-inc,122353, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K.\n18, Private,37315, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K.\n27, Private,181916, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n21, Private,55465, Assoc-acdm,12, Never-married, Other-service, Other-relative, White, Male,0,0,15, United-States, <=50K.\n45, Private,192203, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,49, United-States, >50K.\n26, Private,91683, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,39302, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n27, Private,171356, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n53, Self-emp-inc,197189, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,72, United-States, >50K.\n47, Private,112362, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,228326, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, Private,307353, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n44, Private,172160, 11th,7, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n62, Self-emp-inc,234738, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,50, United-States, <=50K.\n34, Private,33117, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n64, Self-emp-not-inc,217380, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,2559,60, United-States, >50K.\n36, Private,157954, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n53, Private,164299, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1887,65, United-States, >50K.\n61, Self-emp-not-inc,224981, 10th,6, Widowed, Craft-repair, Other-relative, White, Male,0,0,18, Mexico, <=50K.\n25, Private,281209, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,200479, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n28, Private,132750, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n22, Private,21154, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,1590,32, United-States, <=50K.\n34, State-gov,189843, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,116657, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K.\n52, Private,113522, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, >50K.\n53, Private,176185, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n90, Private,227796, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,6097,0,45, United-States, >50K.\n24, Private,194891, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Private,197189, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,182191, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,2202,0,38, United-States, <=50K.\n47, Private,242559, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,1408,40, United-States, <=50K.\n90, Self-emp-not-inc,122348, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,45, United-States, >50K.\n44, Private,40024, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Local-gov,225978, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K.\n18, Private,407436, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K.\n60, Self-emp-not-inc,119471, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K.\n33, Private,249409, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,35, United-States, <=50K.\n38, ?,217409, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n48, Private,148995, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n50, Private,200046, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n37, Private,215618, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,280081, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n46, Self-emp-inc,340651, Bachelors,13, Married-civ-spouse, Other-service, Husband, Black, Male,0,1977,60, United-States, >50K.\n39, Private,111000, Masters,14, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K.\n26, Private,135521, Assoc-voc,11, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,28, United-States, <=50K.\n24, Self-emp-not-inc,194102, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,295127, Some-college,10, Divorced, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K.\n60, ?,102310, Assoc-acdm,12, Divorced, ?, Not-in-family, White, Female,0,0,45, Canada, <=50K.\n48, Private,240175, 11th,7, Separated, Other-service, Unmarried, Black, Male,0,0,22, United-States, <=50K.\n41, Private,145441, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n61, Self-emp-not-inc,243019, Preschool,1, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,215596, 9th,5, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K.\n25, State-gov,31350, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,246965, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n28, Private,99838, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,38, ?, <=50K.\n40, Private,340797, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n51, ?,29937, HS-grad,9, Widowed, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K.\n38, Local-gov,30056, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,309903, 10th,6, Never-married, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K.\n55, State-gov,256984, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n22, Private,181723, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, Germany, <=50K.\n37, Private,101020, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,4787,0,55, United-States, >50K.\n44, Self-emp-not-inc,106900, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,195770, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n49, Private,102737, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Local-gov,191779, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n56, Self-emp-not-inc,99479, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5013,0,46, United-States, <=50K.\n62, Private,196891, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n19, ?,208066, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n31, Private,54341, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n21, Private,140001, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n26, Private,248220, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,172962, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,88215, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, China, <=50K.\n18, Private,110142, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n41, Self-emp-not-inc,136986, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, State-gov,206775, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,53497, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,238534, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,20, Puerto-Rico, <=50K.\n38, Private,143123, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,60269, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,82623, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,48, United-States, >50K.\n40, Local-gov,99666, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n61, Private,95680, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n44, State-gov,208163, Assoc-voc,11, Separated, Protective-serv, Unmarried, White, Male,0,0,40, United-States, <=50K.\n41, Private,369781, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n17, Private,311288, 11th,7, Never-married, Exec-managerial, Own-child, White, Female,0,0,24, United-States, <=50K.\n42, Self-emp-not-inc,152889, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K.\n38, Private,160086, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n34, Private,117963, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, >50K.\n33, Private,186884, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n41, Private,313830, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, ?,212529, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,124330, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K.\n53, Private,104501, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n41, Private,43501, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,83774, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n37, Private,216845, Preschool,1, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K.\n45, Local-gov,168191, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Self-emp-not-inc,166894, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n31, Private,110083, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n55, Private,194371, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, Canada, >50K.\n36, Federal-gov,125933, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,2258,40, United-States, <=50K.\n22, Private,444554, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n34, Private,190228, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, >50K.\n27, Private,604045, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,27828,0,40, United-States, >50K.\n36, Private,241126, Some-college,10, Divorced, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K.\n38, Private,168355, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K.\n48, State-gov,158451, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,914,0,40, United-States, <=50K.\n50, Private,141608, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K.\n36, Private,33157, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n45, Private,187563, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,45, United-States, <=50K.\n33, Private,26252, Assoc-acdm,12, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n32, Local-gov,318647, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,36, United-States, <=50K.\n47, Private,152572, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K.\n30, Private,77634, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,199513, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,1408,50, United-States, <=50K.\n19, Private,260327, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,18, United-States, <=50K.\n23, Private,437940, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Private,137069, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K.\n34, Local-gov,32587, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n47, Self-emp-inc,193960, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,45, United-States, >50K.\n33, Private,170651, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1977,38, United-States, >50K.\n68, ?,186163, 1st-4th,2, Widowed, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n39, Private,114544, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n28, Private,159724, Bachelors,13, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n63, Private,697806, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n34, Private,140011, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K.\n53, Federal-gov,411700, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K.\n26, State-gov,179633, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n57, Local-gov,317690, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K.\n45, Local-gov,213334, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n41, Private,165304, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Greece, <=50K.\n57, Private,192325, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,42, United-States, <=50K.\n53, Self-emp-not-inc,385183, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K.\n33, Private,232650, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n47, Self-emp-not-inc,182474, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,36, United-States, <=50K.\n37, Private,119992, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,376016, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n39, Private,144638, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K.\n48, Federal-gov,113612, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n65, ?,106161, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,48160, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Self-emp-not-inc,55176, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n21, Private,291232, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n55, Private,250149, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n62, ?,221064, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Self-emp-not-inc,87745, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n35, Private,97136, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,37, United-States, <=50K.\n18, Private,632271, Some-college,10, Married-spouse-absent, Adm-clerical, Other-relative, White, Female,0,0,40, Peru, <=50K.\n18, Private,295607, 10th,6, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n84, ?,163443, 7th-8th,4, Widowed, ?, Not-in-family, White, Male,0,0,3, United-States, <=50K.\n78, Self-emp-not-inc,213136, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,24, United-States, <=50K.\n23, Private,107882, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,50, United-States, <=50K.\n35, Private,214378, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n24, Private,236427, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,34292, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,204780, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,15024,0,40, United-States, >50K.\n22, Private,161508, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n80, Private,151959, HS-grad,9, Widowed, Other-service, Not-in-family, Black, Male,0,0,15, United-States, <=50K.\n41, Private,196001, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,20, United-States, <=50K.\n27, Self-emp-not-inc,211259, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n45, Private,35136, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, >50K.\n52, Private,288353, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,48, United-States, >50K.\n48, Local-gov,93449, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999,0,40, Philippines, >50K.\n17, Private,40432, 10th,6, Never-married, Adm-clerical, Own-child, White, Female,0,0,4, United-States, <=50K.\n60, Private,180632, 12th,8, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n76, Private,204113, HS-grad,9, Widowed, Protective-serv, Not-in-family, White, Female,7896,0,18, United-States, <=50K.\n22, Private,336101, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n34, Private,235062, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n49, ?,312552, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,2002,70, United-States, <=50K.\n39, Private,226947, 7th-8th,4, Separated, Other-service, Other-relative, White, Male,0,0,40, El-Salvador, <=50K.\n40, Private,29393, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K.\n38, ?,115376, Some-college,10, Married-civ-spouse, ?, Wife, Black, Female,0,0,40, United-States, <=50K.\n52, Self-emp-inc,146574, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n28, State-gov,175389, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K.\n26, Self-emp-inc,316688, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K.\n63, Self-emp-not-inc,187919, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n41, ?,188436, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, Canada, <=50K.\n41, Private,80666, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n59, Self-emp-not-inc,381965, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1740,80, United-States, <=50K.\n31, Private,192039, Assoc-acdm,12, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n34, Self-emp-not-inc,181091, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K.\n40, Private,50191, 9th,5, Divorced, Craft-repair, Unmarried, White, Male,5455,0,40, United-States, <=50K.\n29, Private,155256, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n42, Private,104973, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,348771, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Canada, <=50K.\n55, Private,96415, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n77, Private,213136, Doctorate,16, Widowed, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K.\n59, Self-emp-inc,155259, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,20, United-States, <=50K.\n47, Private,95155, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K.\n56, Private,178787, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,361497, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n61, State-gov,254890, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,296478, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,179791, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n25, Self-emp-inc,110010, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Private,89622, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n56, State-gov,118614, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, State-gov,35683, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Local-gov,163815, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,2179,41, United-States, <=50K.\n49, Private,175305, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n33, Self-emp-inc,96245, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,99, United-States, <=50K.\n27, Private,201017, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, <=50K.\n48, Private,95388, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n42, Private,249332, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,194759, Assoc-acdm,12, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n61, Private,260062, 10th,6, Never-married, Other-service, Own-child, White, Female,4416,0,38, United-States, <=50K.\n36, Self-emp-not-inc,166213, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,46743, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,25, ?, <=50K.\n20, Private,112387, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,324685, 9th,5, Never-married, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n34, Private,87943, 7th-8th,4, Married-civ-spouse, Craft-repair, Wife, Other, Female,0,0,48, ?, <=50K.\n45, Federal-gov,187510, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,188703, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,127961, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n34, Private,200117, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Self-emp-inc,142030, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, >50K.\n30, Private,226296, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,239130, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Private,165475, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n46, Self-emp-inc,328216, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,45, United-States, >50K.\n21, ?,118023, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K.\n42, Self-emp-not-inc,206066, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,45, United-States, <=50K.\n29, Local-gov,141005, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K.\n28, Private,104870, Assoc-voc,11, Never-married, Other-service, Not-in-family, Black, Female,0,0,48, United-States, <=50K.\n44, Self-emp-not-inc,253250, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,54, United-States, <=50K.\n39, Private,497788, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n42, Private,128354, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n49, Private,140782, 10th,6, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n37, Private,216129, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Female,0,0,45, United-States, <=50K.\n65, Private,65757, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, ?,264758, Some-college,10, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, Haiti, <=50K.\n23, Private,245361, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,35, United-States, <=50K.\n48, Local-gov,216689, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, ?,139517, 11th,7, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K.\n65, Local-gov,188903, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,6418,0,45, United-States, >50K.\n18, Private,170094, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,20, United-States, <=50K.\n53, Private,108836, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,189565, HS-grad,9, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, Private,347993, 1st-4th,2, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n49, Private,187308, Some-college,10, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,35, United-States, <=50K.\n27, State-gov,136077, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, State-gov,165457, Bachelors,13, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Male,2463,0,40, United-States, <=50K.\n49, Federal-gov,175428, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n78, ?,143574, Some-college,10, Widowed, ?, Not-in-family, White, Male,0,0,5, United-States, <=50K.\n34, Private,349148, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n72, Private,103990, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,12, United-States, <=50K.\n55, Self-emp-inc,183884, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n21, Private,464484, HS-grad,9, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n41, Private,190786, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K.\n30, Private,348592, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, ?,177839, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, Private,152156, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,53, United-States, <=50K.\n55, Private,141807, HS-grad,9, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, Poland, <=50K.\n47, Local-gov,188537, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, >50K.\n43, Private,203233, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n51, Private,28978, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Self-emp-inc,116211, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n18, ?,97683, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n19, Private,283945, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n43, Private,115178, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, >50K.\n48, State-gov,77102, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n23, Private,132220, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,129301, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n22, Private,187592, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n34, Private,312667, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n36, Local-gov,206951, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,587310, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Own-child, White, Male,0,0,40, El-Salvador, <=50K.\n76, Private,328227, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5556,0,13, United-States, >50K.\n35, Private,100634, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n49, Private,274200, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,72, United-States, <=50K.\n18, Self-emp-inc,29582, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K.\n68, Private,174812, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,15, United-States, <=50K.\n22, State-gov,138513, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K.\n37, Private,219137, 7th-8th,4, Divorced, Sales, Unmarried, White, Female,0,0,44, United-States, <=50K.\n23, Private,265148, Bachelors,13, Never-married, Sales, Other-relative, White, Male,0,0,55, United-States, <=50K.\n41, Private,302606, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n18, Private,197600, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K.\n36, Private,167415, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n44, Private,13769, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K.\n26, Private,109390, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,218188, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,32, United-States, <=50K.\n49, Private,167159, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n72, Private,128529, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,28, United-States, <=50K.\n22, Private,200973, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K.\n22, Private,118235, HS-grad,9, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Male,0,0,55, United-States, <=50K.\n23, Local-gov,250165, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,594,0,40, United-States, <=50K.\n47, Private,269620, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K.\n46, Private,212162, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n25, Private,147638, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, India, <=50K.\n42, Private,304605, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,165267, 9th,5, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n28, Private,122037, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n63, Self-emp-inc,165611, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n21, Private,262634, 7th-8th,4, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, United-States, <=50K.\n46, Private,280766, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, Cuba, <=50K.\n21, Private,226668, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, Other, Male,0,0,40, United-States, <=50K.\n37, Private,130200, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K.\n17, Private,98005, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n47, Private,308857, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n51, Private,108914, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n64, Local-gov,210464, Masters,14, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n30, Private,172748, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,192140, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n21, Private,126568, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K.\n50, Private,179339, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n43, Local-gov,31621, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K.\n39, Private,365009, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Private,344698, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K.\n42, Private,159911, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,24, United-States, <=50K.\n25, Private,389456, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K.\n48, Private,167472, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n17, Private,201412, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,594,0,5, United-States, <=50K.\n26, Self-emp-not-inc,331861, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K.\n58, Private,97541, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,46, United-States, >50K.\n34, Private,71865, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female,0,0,40, Portugal, <=50K.\n29, Private,196564, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,218956, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,20, United-States, <=50K.\n27, Private,37359, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K.\n41, Private,184630, Bachelors,13, Divorced, Handlers-cleaners, Not-in-family, White, Male,4416,0,40, United-States, <=50K.\n17, Local-gov,161955, 11th,7, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,30, United-States, <=50K.\n24, Private,200089, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Guatemala, <=50K.\n39, Self-emp-not-inc,193026, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n72, Self-emp-not-inc,336423, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n52, State-gov,184529, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,153876, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,53, United-States, <=50K.\n22, Private,269687, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K.\n27, Private,153805, Some-college,10, Never-married, Craft-repair, Unmarried, Other, Male,0,0,45, Ecuador, <=50K.\n43, Private,151504, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,330087, Assoc-acdm,12, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n59, Private,164970, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,60, United-States, <=50K.\n23, Private,239539, Some-college,10, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,40, ?, >50K.\n55, Self-emp-not-inc,50215, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,0,0,42, United-States, <=50K.\n51, Local-gov,80123, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,35, United-States, <=50K.\n54, ?,55139, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,43, United-States, <=50K.\n44, ?,276096, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,45, United-States, <=50K.\n41, Private,222813, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n24, Private,172232, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K.\n54, Self-emp-not-inc,386773, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n38, Private,87556, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n38, State-gov,169926, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,21, United-States, >50K.\n41, Private,104196, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n34, Private,320027, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K.\n59, Private,116637, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,307640, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n69, ?,138386, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,1409,0,35, United-States, <=50K.\n25, Private,269015, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n30, Private,90308, Preschool,1, Never-married, Other-service, Unmarried, White, Male,0,0,28, El-Salvador, <=50K.\n41, Local-gov,39581, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,4101,0,40, United-States, <=50K.\n49, Self-emp-not-inc,241688, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Cuba, <=50K.\n22, Local-gov,467759, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K.\n39, Private,303677, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,15, United-States, <=50K.\n56, Private,47392, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,97925, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Local-gov,243240, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K.\n29, Private,472344, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n41, Private,177054, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K.\n43, Local-gov,212206, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n34, Private,244147, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,167336, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, United-States, <=50K.\n43, State-gov,135060, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, ?, >50K.\n49, Private,52184, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,159187, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K.\n35, Federal-gov,22494, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n36, Private,219745, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n67, Private,113323, Masters,14, Divorced, Adm-clerical, Unmarried, White, Male,0,0,41, United-States, <=50K.\n36, Private,181099, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,216741, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Local-gov,106365, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n45, Private,124973, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n37, Private,73199, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n49, Federal-gov,362679, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,9, United-States, >50K.\n29, Private,197222, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n56, Private,33115, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n42, Federal-gov,37997, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,162067, Masters,14, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, Haiti, <=50K.\n35, Private,133839, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n33, Self-emp-not-inc,398874, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Self-emp-inc,289224, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, Private,261259, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K.\n61, Private,438587, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n31, Private,271162, 11th,7, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n66, ?,115880, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K.\n21, Private,29810, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,277695, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, Mexico, <=50K.\n35, Private,277347, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K.\n43, ?,220445, HS-grad,9, Widowed, ?, Own-child, Black, Male,0,0,40, United-States, <=50K.\n29, Private,231507, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n28, Private,184477, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n24, Private,174714, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K.\n24, Private,118792, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K.\n46, Local-gov,274689, Assoc-acdm,12, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,148315, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,45, United-States, <=50K.\n24, Private,99844, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,60, United-States, <=50K.\n36, State-gov,143437, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Other, Female,0,0,40, United-States, <=50K.\n22, Private,114357, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n46, ?,427055, Some-college,10, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, >50K.\n68, Local-gov,137518, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,33, United-States, <=50K.\n33, Private,183125, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n28, Private,269317, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K.\n46, State-gov,107682, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n30, Private,159589, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,50, United-States, >50K.\n50, Private,46401, Bachelors,13, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,20, Germany, <=50K.\n69, Self-emp-not-inc,164754, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K.\n63, ?,109446, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,314068, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n22, Private,242138, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n39, Federal-gov,203070, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,266960, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n29, Self-emp-not-inc,239511, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K.\n65, ?,244749, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, Cuba, <=50K.\n23, Private,244698, 5th-6th,3, Never-married, Farming-fishing, Other-relative, White, Male,0,0,35, Mexico, <=50K.\n25, Private,207258, 9th,5, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n61, Private,111563, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,27, United-States, <=50K.\n50, Private,233149, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n61, Private,166789, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2246,50, United-States, >50K.\n54, Self-emp-inc,22743, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,99999,0,70, United-States, >50K.\n41, Local-gov,180599, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,28738, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,259846, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n24, Self-emp-inc,158950, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n23, Private,185948, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n67, ?,187553, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n49, Private,169092, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,5178,0,40, Canada, >50K.\n40, Private,129298, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,120204, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n49, Local-gov,229337, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,183674, 12th,8, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,25, ?, <=50K.\n34, Private,538243, Some-college,10, Separated, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n38, Private,108947, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n35, Private,128516, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, <=50K.\n28, Private,147560, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, Private,131808, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,40, United-States, >50K.\n33, Private,234537, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Local-gov,165160, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n51, Private,90275, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K.\n26, Local-gov,143583, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Self-emp-not-inc,210020, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,135603, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n59, ?,441227, Masters,14, Married-civ-spouse, ?, Husband, Black, Male,7298,0,50, United-States, >50K.\n38, Private,341943, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n64, Private,38274, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,327435, Some-college,10, Separated, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, >50K.\n27, Federal-gov,175262, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Private,376474, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,65, United-States, <=50K.\n38, Private,171150, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,3781,0,78, United-States, <=50K.\n32, Private,459465, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n37, Local-gov,188391, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Male,0,0,60, United-States, >50K.\n37, Private,196373, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,122913, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n35, State-gov,37314, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n37, Private,198492, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,20946, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Private,281608, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n31, Self-emp-not-inc,213643, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,1590,60, United-States, <=50K.\n18, Private,39222, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n23, Private,208238, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n53, Private,261207, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Peru, <=50K.\n36, Private,131192, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n75, Private,148214, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n54, Self-emp-not-inc,155965, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, United-States, <=50K.\n25, Private,269004, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,97883, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,48, Italy, <=50K.\n52, Private,177942, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n38, Local-gov,360494, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n45, Self-emp-not-inc,45136, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K.\n28, Private,173483, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,5013,0,20, United-States, <=50K.\n19, Private,205953, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,20, United-States, <=50K.\n41, Private,169823, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,46, United-States, >50K.\n18, Private,99591, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K.\n42, Private,32627, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,378009, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n48, Private,233511, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,173987, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n45, Private,162302, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K.\n24, Private,192812, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n65, Private,217661, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2246,40, United-States, >50K.\n61, Private,353031, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n21, Private,155483, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,274158, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K.\n35, Local-gov,26987, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1876,45, United-States, <=50K.\n49, Private,68493, HS-grad,9, Married-spouse-absent, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n19, ?,257421, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,15, United-States, <=50K.\n26, Private,38257, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n22, Local-gov,175586, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Female,0,0,20, United-States, <=50K.\n49, Private,316323, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,48, United-States, >50K.\n36, Private,117802, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Self-emp-not-inc,454950, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n17, Private,284277, 11th,7, Never-married, Other-service, Own-child, White, Male,1055,0,20, United-States, <=50K.\n32, State-gov,90409, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K.\n43, Private,248094, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, >50K.\n29, Private,138692, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,173938, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n65, ?,146722, 12th,8, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n31, Private,145439, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n24, Private,324445, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,176410, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K.\n25, Private,129275, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,399123, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n51, Private,76044, Masters,14, Divorced, Prof-specialty, Unmarried, Other, Male,4787,0,35, Mexico, >50K.\n28, Private,87632, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, <=50K.\n33, Private,269605, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,32, United-States, <=50K.\n46, Private,37718, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,50, United-States, >50K.\n70, ?,162659, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K.\n45, Self-emp-not-inc,277434, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Private,209205, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n75, ?,34235, HS-grad,9, Widowed, ?, Not-in-family, White, Female,2964,0,14, United-States, <=50K.\n41, Private,141186, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n48, Private,123681, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,174215, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, <=50K.\n17, Private,96354, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n64, ?,109108, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n37, Private,107302, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n51, Local-gov,250054, Some-college,10, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n51, Private,50459, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1740,40, United-States, <=50K.\n57, Local-gov,22975, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K.\n29, Private,97189, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n28, Private,238859, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,20, United-States, <=50K.\n26, State-gov,239303, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,3942,0,7, United-States, <=50K.\n33, Private,310655, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n42, Private,276218, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K.\n30, Private,94235, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K.\n45, Private,135339, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,45, United-States, <=50K.\n20, Private,199703, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,28, United-States, <=50K.\n36, Private,52532, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n64, State-gov,186376, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K.\n29, Private,229124, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, >50K.\n18, Private,152508, 11th,7, Married-civ-spouse, Sales, Wife, Other, Female,0,0,20, United-States, <=50K.\n45, Private,54260, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n31, Private,48520, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K.\n66, Self-emp-not-inc,439777, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K.\n49, Private,191389, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Private,118714, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,34616, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n29, ?,199074, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n20, ?,112858, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,2, United-States, <=50K.\n22, Private,199555, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n21, ?,211013, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n46, Private,107425, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n62, Private,106549, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n41, State-gov,110556, Masters,14, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,265097, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, <=50K.\n41, Private,215219, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n61, Self-emp-not-inc,142988, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n64, Private,239450, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n18, Private,162084, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n34, Private,83066, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n36, Private,181705, Some-college,10, Separated, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n80, Private,138737, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K.\n24, Federal-gov,332194, 9th,5, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n20, Private,291979, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,35, United-States, <=50K.\n64, Private,162761, Some-college,10, Widowed, Sales, Not-in-family, White, Male,2354,0,35, United-States, <=50K.\n21, Private,153643, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,70, United-States, <=50K.\n52, Private,30908, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n31, Private,92179, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n66, Self-emp-inc,50408, 12th,8, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K.\n50, Federal-gov,191013, HS-grad,9, Separated, Sales, Other-relative, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n62, Private,170969, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K.\n19, ?,302229, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,10, United-States, <=50K.\n49, Private,80026, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Private,93056, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Local-gov,414791, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,37894, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1719,30, United-States, <=50K.\n31, Local-gov,164243, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,55, United-States, >50K.\n41, Self-emp-not-inc,36651, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n22, Self-emp-not-inc,26248, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,50, United-States, <=50K.\n41, Private,244522, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,42, United-States, >50K.\n39, Private,183279, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K.\n63, Private,177063, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,220220, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,47, United-States, <=50K.\n58, Private,180779, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,238787, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,20, United-States, <=50K.\n38, Private,32086, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,52, United-States, <=50K.\n35, Private,302149, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K.\n43, Self-emp-not-inc,136986, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K.\n47, State-gov,61062, Doctorate,16, Separated, Exec-managerial, Own-child, Asian-Pac-Islander, Male,2354,0,45, United-States, <=50K.\n33, Private,260782, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n21, Private,82061, 5th-6th,3, Never-married, Craft-repair, Not-in-family, Other, Male,0,0,32, Mexico, <=50K.\n22, Private,254351, HS-grad,9, Married-civ-spouse, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n25, Private,128699, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n59, Private,171328, Bachelors,13, Married-spouse-absent, Prof-specialty, Other-relative, Black, Female,2202,0,37, United-States, <=50K.\n24, ?,152719, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,15, Haiti, <=50K.\n42, Private,97688, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,40, United-States, >50K.\n33, Private,199248, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K.\n25, Private,67240, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K.\n27, Private,1490400, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,188503, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, >50K.\n40, Private,180206, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,201872, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Private,314373, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n36, Private,107737, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K.\n44, Private,209093, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, Local-gov,218357, HS-grad,9, Separated, Transport-moving, Unmarried, White, Female,0,0,25, United-States, <=50K.\n43, Private,163434, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,326701, 5th-6th,3, Separated, Craft-repair, Not-in-family, Other, Male,0,0,40, Mexico, <=50K.\n41, Private,164612, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K.\n29, Self-emp-not-inc,37429, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K.\n31, Private,408208, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,30, United-States, <=50K.\n54, Private,105638, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,81259, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K.\n37, Private,201141, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n27, Private,394927, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n52, Federal-gov,165998, Prof-school,15, Married-civ-spouse, Armed-Forces, Husband, White, Male,7298,0,50, United-States, >50K.\n40, Private,41888, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,2415,70, United-States, >50K.\n24, Private,72887, HS-grad,9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n49, Private,56551, 9th,5, Divorced, Craft-repair, Unmarried, White, Female,5455,0,45, United-States, <=50K.\n22, Private,227603, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Female,0,0,30, United-States, <=50K.\n28, Private,203776, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Poland, <=50K.\n61, Private,202060, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,34, United-States, <=50K.\n59, Private,178282, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688,0,40, United-States, >50K.\n31, Private,57151, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,399455, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,52, United-States, <=50K.\n37, Private,52630, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,124692, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n21, Private,278254, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n40, Private,162098, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,304143, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n37, Federal-gov,287031, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K.\n38, Private,102478, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,172425, HS-grad,9, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K.\n48, Private,56664, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Private,247514, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, >50K.\n30, Private,307353, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n37, Private,111129, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,39, United-States, <=50K.\n29, Private,190539, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, Greece, >50K.\n47, Self-emp-inc,224314, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n47, Self-emp-not-inc,59987, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2002,42, United-States, <=50K.\n33, Local-gov,111746, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n24, Private,162958, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,1980,50, United-States, <=50K.\n68, ?,129802, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K.\n43, Private,303155, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n25, Private,301634, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Private,156294, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K.\n50, Private,145033, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,60, United-States, >50K.\n19, ?,768659, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n32, Private,134679, 11th,7, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,40, United-States, <=50K.\n30, Private,188798, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n41, Private,122033, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,99, United-States, <=50K.\n21, ?,223515, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, Private,235124, 12th,8, Divorced, Other-service, Not-in-family, White, Male,0,0,30, ?, <=50K.\n47, Private,341814, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, <=50K.\n34, State-gov,764638, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,4787,0,47, United-States, >50K.\n47, Federal-gov,303637, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n31, Private,307543, 10th,6, Never-married, Transport-moving, Own-child, White, Male,0,0,99, Cuba, <=50K.\n45, Local-gov,151267, Some-college,10, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,25, United-States, <=50K.\n40, Private,157403, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,38, United-States, <=50K.\n31, Private,124483, Masters,14, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,60, India, >50K.\n32, Private,26803, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n40, Private,131899, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,119992, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2603,60, United-States, <=50K.\n31, Private,198068, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n31, Private,264351, 12th,8, Separated, Adm-clerical, Own-child, White, Male,0,0,40, Mexico, <=50K.\n18, ?,352430, 11th,7, Never-married, ?, Own-child, White, Male,0,1602,30, United-States, <=50K.\n61, Private,29797, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K.\n28, Private,54670, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,40, ?, <=50K.\n47, Private,192713, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n55, Self-emp-inc,79662, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n35, Private,190023, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,301251, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, Private,115336, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K.\n58, Self-emp-not-inc,98015, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,32, United-States, >50K.\n33, Self-emp-not-inc,48189, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Private,248754, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n30, Private,195602, 12th,8, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,44, United-States, <=50K.\n45, State-gov,185797, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,3325,0,60, United-States, <=50K.\n51, Private,192588, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Philippines, <=50K.\n44, Private,160837, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Puerto-Rico, <=50K.\n54, Local-gov,128378, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,335846, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K.\n19, Private,179991, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n31, Private,151763, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,127875, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n27, Self-emp-not-inc,132686, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n44, Self-emp-inc,240900, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,65876, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K.\n46, State-gov,165852, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n30, Self-emp-not-inc,437458, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n63, Self-emp-not-inc,261995, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,342480, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K.\n58, Private,270131, 5th-6th,3, Widowed, Other-service, Unmarried, White, Female,0,0,70, Mexico, <=50K.\n48, Private,216414, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,70, United-States, >50K.\n30, Private,259425, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n45, Private,144086, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n63, Self-emp-not-inc,246124, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n53, Private,321865, Prof-school,15, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K.\n42, Private,32080, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n31, Local-gov,201697, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n32, Local-gov,300687, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n27, Private,307724, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, ?, <=50K.\n60, Private,40856, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,1741,40, United-States, <=50K.\n24, ?,115085, HS-grad,9, Married-civ-spouse, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n37, State-gov,202139, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n34, Private,190151, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K.\n40, Local-gov,208277, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K.\n19, Private,107405, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,194096, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n36, Private,162029, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,3325,0,40, United-States, <=50K.\n46, Private,172155, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Peru, <=50K.\n51, Self-emp-inc,114674, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n27, Private,116298, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Local-gov,320510, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,56, United-States, >50K.\n31, Private,158144, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Private,181651, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,51150, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n41, State-gov,118544, Some-college,10, Divorced, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K.\n54, Private,85423, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n34, Private,56460, Bachelors,13, Never-married, Sales, Unmarried, White, Female,0,0,41, United-States, <=50K.\n28, Private,211208, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n17, Private,154337, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,13, United-States, <=50K.\n22, Private,125542, 11th,7, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Private,175847, 5th-6th,3, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, Mexico, >50K.\n34, Private,229731, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,35, El-Salvador, <=50K.\n45, Self-emp-not-inc,40666, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,2885,0,60, United-States, <=50K.\n58, Federal-gov,215900, HS-grad,9, Never-married, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n75, ?,186792, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n18, ?,151552, 11th,7, Never-married, ?, Other-relative, White, Female,0,0,15, United-States, <=50K.\n45, Private,122002, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n32, Private,32174, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n34, Private,349148, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,63, United-States, <=50K.\n34, Private,209691, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,66, United-States, <=50K.\n49, Private,163021, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n18, Local-gov,283342, 10th,6, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n41, ?,45186, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,175398, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n30, Private,175455, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n17, Private,194946, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n58, ?,183869, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,3411,0,80, United-States, <=50K.\n19, ?,167428, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Private,227615, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n44, Local-gov,196797, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,36, United-States, >50K.\n28, Local-gov,273051, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Local-gov,27085, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,235646, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n25, ?,168358, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n40, Private,167725, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,91819, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K.\n27, Private,105830, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n59, Private,201159, 12th,8, Widowed, Machine-op-inspct, Other-relative, White, Female,0,0,48, United-States, <=50K.\n18, Private,137363, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n27, Self-emp-not-inc,164725, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,3464,0,35, United-States, <=50K.\n47, Private,29438, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n67, Private,131656, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2392,24, United-States, >50K.\n33, State-gov,35306, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,44, United-States, <=50K.\n63, Private,198206, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n40, Private,103513, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,143078, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,109494, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1485,40, United-States, <=50K.\n28, Private,52732, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,164495, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, Germany, <=50K.\n20, Self-emp-not-inc,105997, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n49, Federal-gov,105959, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,41, United-States, >50K.\n18, Private,216540, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Private,159623, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Federal-gov,87207, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,37, United-States, <=50K.\n57, Private,47621, 9th,5, Married-civ-spouse, Other-service, Wife, White, Female,0,0,38, United-States, <=50K.\n35, Private,190297, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,65, United-States, >50K.\n66, Private,48034, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, United-States, <=50K.\n47, Local-gov,162236, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, >50K.\n57, Private,104724, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,129806, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K.\n35, Private,170174, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Local-gov,265148, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K.\n29, Private,192237, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, Private,406491, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,231866, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,292055, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n30, Private,140612, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, United-States, <=50K.\n26, Private,191573, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n52, Private,203635, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,171483, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,38, United-States, <=50K.\n36, Private,68798, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n34, Private,31752, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Female,0,0,40, ?, <=50K.\n59, ?,291856, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,135848, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,10, Guatemala, <=50K.\n22, Private,72887, Some-college,10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,24, United-States, <=50K.\n47, Private,275163, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n65, Private,29276, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,2538,0,50, United-States, <=50K.\n50, Private,224207, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n50, Local-gov,237356, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,40, United-States, >50K.\n29, Private,393829, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n58, Self-emp-not-inc,193720, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,20, United-States, <=50K.\n56, Self-emp-not-inc,140729, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n22, Private,54560, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n34, Self-emp-not-inc,214288, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3411,0,80, United-States, <=50K.\n45, Self-emp-inc,88500, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K.\n30, Private,287092, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,2354,0,40, United-States, <=50K.\n40, Private,225263, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K.\n52, Local-gov,140027, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n44, Private,32000, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n44, Private,228516, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,20, Portugal, <=50K.\n27, Private,157612, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n24, Private,197200, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,44, United-States, <=50K.\n28, Private,89598, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,45, United-States, <=50K.\n40, Private,153799, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,72, ?, >50K.\n67, ?,101761, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n49, Private,225456, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,348960, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Local-gov,157111, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,85877, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,99999,0,60, United-States, >50K.\n72, Self-emp-not-inc,32819, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n21, ?,517995, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n59, Private,103948, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,96016, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,60668, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,50, United-States, <=50K.\n29, Local-gov,270379, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n29, Private,190756, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K.\n59, Local-gov,221417, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,158940, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,55, United-States, <=50K.\n67, State-gov,121395, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,12, United-States, <=50K.\n26, Private,196866, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n35, Private,302239, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,718736, Some-college,10, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n31, Private,178615, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,158096, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, ?,317988, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,15, United-States, <=50K.\n23, Private,325596, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,120461, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n80, ?,30680, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K.\n22, Private,125010, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n67, Private,268781, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1510,8, United-States, <=50K.\n46, Private,36020, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,433682, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n32, Local-gov,349148, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n44, Self-emp-inc,148805, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,33, United-States, <=50K.\n24, Private,285775, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Local-gov,126524, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,40, United-States, >50K.\n52, Private,270221, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,44, United-States, >50K.\n24, Private,117222, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,118941, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n59, Private,172667, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,241306, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013,0,40, United-States, <=50K.\n33, State-gov,292317, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,182918, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,46, United-States, >50K.\n76, Self-emp-not-inc,106430, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n41, ?,119207, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,377692, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Private,284907, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n65, Federal-gov,190160, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Male,0,1944,20, Poland, <=50K.\n65, Self-emp-inc,226215, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Private,169324, 9th,5, Divorced, Other-service, Unmarried, Black, Female,0,0,40, Haiti, <=50K.\n22, Private,191460, 10th,6, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,219155, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n66, ?,52654, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K.\n64, Self-emp-not-inc,198466, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,70, United-States, <=50K.\n47, Private,255965, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n38, ?,54953, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n25, Private,290441, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n44, Federal-gov,206927, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n66, Self-emp-inc,165609, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Self-emp-inc,206609, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,1876,50, United-States, <=50K.\n64, Private,211846, 10th,6, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,102446, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K.\n26, Private,114483, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n43, Private,199657, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K.\n40, Private,192878, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,346081, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n24, Private,26668, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Puerto-Rico, <=50K.\n72, ?,272425, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,3818,0,4, United-States, <=50K.\n68, Local-gov,159643, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,15, United-States, <=50K.\n51, ?,22743, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K.\n21, Private,142875, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K.\n18, ?,256304, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,30, United-States, <=50K.\n36, Private,163380, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n48, Private,162187, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K.\n32, Private,153353, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n75, Self-emp-inc,134414, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n25, Private,39212, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,344060, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, Japan, >50K.\n17, Local-gov,140240, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n70, ?,210722, Prof-school,15, Divorced, ?, Not-in-family, White, Male,2538,0,45, United-States, <=50K.\n32, Private,285946, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n34, Private,216645, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n54, Private,54065, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n24, Private,44159, 12th,8, Never-married, Other-service, Other-relative, Other, Male,0,0,40, Dominican-Republic, <=50K.\n46, Private,188729, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, Black, Female,0,0,50, United-States, <=50K.\n44, Self-emp-not-inc,296982, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, ?, <=50K.\n56, Local-gov,277203, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,153949, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K.\n46, Federal-gov,269890, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K.\n35, Federal-gov,61518, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n39, Private,176050, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,47, United-States, >50K.\n25, Private,202700, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K.\n18, Private,477083, 11th,7, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n50, Private,221532, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,282155, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,4650,0,40, United-States, <=50K.\n38, Private,365307, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n26, Private,248776, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,166863, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,191149, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K.\n22, Private,126822, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n20, Private,281743, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K.\n27, Private,212041, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n31, Private,264351, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K.\n54, Private,117198, HS-grad,9, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n38, Private,202937, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n53, ?,201062, HS-grad,9, Married-civ-spouse, ?, Wife, Black, Female,0,0,2, United-States, <=50K.\n51, Private,96062, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Self-emp-not-inc,99902, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Ireland, >50K.\n54, Private,76268, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,80, United-States, <=50K.\n64, Private,200517, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,39, United-States, <=50K.\n48, ?,222478, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K.\n19, ?,168471, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K.\n52, Private,403027, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n34, Self-emp-not-inc,201292, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n39, Self-emp-not-inc,360814, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n51, Private,155574, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,135525, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, >50K.\n42, Self-emp-not-inc,24763, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n38, Self-emp-inc,184456, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, Italy, >50K.\n40, Private,30412, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, State-gov,93225, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n60, Self-emp-not-inc,359988, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,12, United-States, <=50K.\n60, Self-emp-not-inc,122314, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K.\n59, Federal-gov,51662, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n30, Private,137991, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,41, United-States, <=50K.\n47, State-gov,119458, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n42, Private,208068, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Other, Male,7298,0,40, Mexico, >50K.\n32, Private,219553, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n23, Private,308924, HS-grad,9, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n27, Private,169748, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n55, Private,164970, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,38, United-States, <=50K.\n39, Private,190987, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K.\n33, Private,250804, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, England, <=50K.\n30, Private,85374, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n81, Private,39667, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,20, United-States, <=50K.\n41, Private,84817, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,3887,0,40, United-States, <=50K.\n38, Private,227615, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n54, Private,155737, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,8614,0,40, United-States, >50K.\n38, Private,133935, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, El-Salvador, >50K.\n22, Federal-gov,316438, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K.\n44, Private,107433, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n36, State-gov,28572, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n32, Self-emp-not-inc,291414, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n22, Private,202153, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, Private,324655, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,27207, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K.\n30, Private,184435, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n34, Private,122749, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,32, United-States, <=50K.\n36, Private,181146, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K.\n21, Private,225311, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,33474, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n42, Private,126319, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n52, Private,247806, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n50, Private,85815, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,38, United-States, >50K.\n48, Private,204629, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n63, Private,195540, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, Black, Male,0,1408,40, United-States, <=50K.\n27, Private,113866, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n31, Private,114691, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Ireland, <=50K.\n22, ?,227943, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n45, Private,310260, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n35, Private,189922, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,52, United-States, >50K.\n54, Private,249949, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n23, ?,38455, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,11, United-States, <=50K.\n51, Private,123429, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, United-States, >50K.\n71, Private,99549, 5th-6th,3, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,98954, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,49794, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n47, ?,80451, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,129764, Some-college,10, Divorced, Sales, Unmarried, White, Male,1506,0,50, United-States, <=50K.\n29, Private,189702, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,10520,0,50, United-States, >50K.\n59, Self-emp-not-inc,78020, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,182843, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n42, Private,53956, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n31, State-gov,223376, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n44, Federal-gov,151933, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1485,40, United-States, >50K.\n47, Private,100931, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n23, Private,442478, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,15, United-States, <=50K.\n24, Private,153082, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n46, Private,182414, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n35, Local-gov,217926, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K.\n36, Private,176536, Some-college,10, Separated, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Female,0,0,42, United-States, <=50K.\n37, Private,237943, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Poland, <=50K.\n20, Private,117789, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K.\n59, Private,113838, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,4650,0,37, United-States, <=50K.\n17, Private,278414, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K.\n36, Private,122493, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n57, Private,110820, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,106141, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K.\n43, Self-emp-not-inc,215896, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,50, United-States, <=50K.\n49, Private,547108, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,15024,0,40, ?, >50K.\n50, Federal-gov,169078, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,40, United-States, >50K.\n69, Self-emp-not-inc,227906, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3456,0,30, Germany, <=50K.\n57, Private,61298, 5th-6th,3, Separated, Machine-op-inspct, Other-relative, White, Female,0,0,40, Ecuador, <=50K.\n49, Private,184285, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,64156, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n61, Private,56248, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, >50K.\n51, Private,171275, 7th-8th,4, Divorced, Other-service, Not-in-family, Other, Male,0,0,40, Peru, <=50K.\n41, Private,123490, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n60, Private,420842, Assoc-acdm,12, Divorced, Priv-house-serv, Other-relative, White, Female,0,0,40, ?, <=50K.\n40, Private,51233, Bachelors,13, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,38, United-States, <=50K.\n36, Private,353263, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n17, Private,262031, 12th,8, Never-married, Other-service, Other-relative, White, Male,0,0,20, United-States, <=50K.\n50, Private,334421, Prof-school,15, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,1590,25, China, <=50K.\n24, Private,200153, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n70, ?,187972, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Federal-gov,360186, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n20, Private,368832, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n36, Private,359131, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n35, Self-emp-not-inc,295279, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,37, United-States, <=50K.\n34, Private,378272, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,150817, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n40, Self-emp-not-inc,145246, Some-college,10, Divorced, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n51, Private,185490, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,217424, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K.\n24, Private,190483, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n50, Self-emp-not-inc,391016, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,30509, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,3908,0,50, United-States, <=50K.\n28, Private,267661, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n57, Private,197369, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,393691, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,168441, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n47, Self-emp-inc,85109, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n22, Private,190457, 10th,6, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n37, Self-emp-not-inc,289430, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n39, Private,166697, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,35, United-States, <=50K.\n24, Local-gov,310355, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, Germany, <=50K.\n31, Private,300828, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,30, United-States, <=50K.\n20, Private,188923, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,37, United-States, <=50K.\n36, Private,167482, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,114968, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,102988, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, Ecuador, >50K.\n67, Local-gov,330144, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,18, United-States, <=50K.\n47, Private,362654, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,179481, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n42, Private,204817, Bachelors,13, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,35, United-States, <=50K.\n32, Private,172402, Some-college,10, Never-married, Adm-clerical, Unmarried, Other, Female,0,0,40, United-States, <=50K.\n44, Private,54611, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, State-gov,179151, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,30829, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n50, Private,474229, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,246981, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,23, United-States, <=50K.\n39, Private,271610, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n25, Private,179138, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Local-gov,268722, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,20, United-States, <=50K.\n46, Private,111410, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Local-gov,125550, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, United-States, >50K.\n24, Private,51985, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Private,302584, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n90, Federal-gov,311184, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,99, United-States, <=50K.\n45, Local-gov,133969, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, Thailand, <=50K.\n41, Local-gov,214242, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,72, United-States, >50K.\n29, Private,372149, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K.\n53, Private,203967, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,147344, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,60, ?, <=50K.\n45, Self-emp-inc,139268, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n38, Private,349198, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,21, United-States, >50K.\n43, Private,222756, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2002,44, United-States, <=50K.\n53, Local-gov,196395, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K.\n22, Private,316304, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K.\n44, Private,347653, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, <=50K.\n40, Private,176063, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K.\n67, Private,176835, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n58, Private,144092, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n23, Private,148709, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n31, Federal-gov,194141, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Self-emp-inc,215423, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,70, United-States, <=50K.\n52, Self-emp-not-inc,128378, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,34431, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,180690, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Private,142712, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,57, United-States, >50K.\n43, State-gov,185619, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,35, United-States, >50K.\n36, Self-emp-not-inc,358373, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,30, United-States, <=50K.\n27, Private,81648, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,244580, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,184570, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, State-gov,210150, Masters,14, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Local-gov,212213, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n37, Private,182148, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,39, United-States, <=50K.\n29, Private,55390, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n58, Private,66788, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Male,0,0,40, Portugal, <=50K.\n43, Federal-gov,265604, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n21, Private,110677, Some-college,10, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K.\n34, Private,320077, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n56, Private,201817, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n43, Private,142725, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1887,80, United-States, >50K.\n44, Self-emp-not-inc,53956, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n45, State-gov,116892, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n33, Private,34572, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n40, State-gov,287008, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n66, Local-gov,30740, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n27, Private,162104, 7th-8th,4, Never-married, Priv-house-serv, Own-child, White, Female,0,0,30, United-States, <=50K.\n65, Private,237024, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, Mexico, <=50K.\n20, Private,228306, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,32, United-States, <=50K.\n18, Private,127388, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n45, Private,72393, Bachelors,13, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K.\n55, Self-emp-inc,160813, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n43, Private,255586, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K.\n21, Private,342575, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K.\n28, Private,181466, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, Private,234108, Assoc-acdm,12, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K.\n28, Private,66414, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,227307, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,43, United-States, >50K.\n23, Private,157145, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n63, Private,252457, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n60, Federal-gov,142769, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n32, Private,49539, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,3674,0,40, United-States, <=50K.\n33, Private,249438, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n30, Private,289293, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,3908,0,40, Dominican-Republic, <=50K.\n68, Self-emp-not-inc,198884, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K.\n53, Local-gov,229259, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K.\n36, Private,289223, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1848,40, United-States, >50K.\n23, Private,42401, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n26, Private,295055, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n42, State-gov,214781, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,1876,38, United-States, <=50K.\n20, Private,95552, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n53, Private,308764, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n36, Private,185394, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Private,358382, Some-college,10, Separated, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n35, Private,195946, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Thailand, <=50K.\n32, Private,296897, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,230961, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n22, Private,169022, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n28, Private,209301, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1848,40, United-States, >50K.\n42, Private,252058, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,30012, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n33, Private,202046, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n22, Private,52262, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n60, Private,96660, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,33, United-States, <=50K.\n50, Self-emp-not-inc,200618, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n58, Private,177368, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,16, United-States, <=50K.\n22, Private,311311, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n47, State-gov,142856, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n28, Private,134890, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,1974,50, United-States, <=50K.\n38, Self-emp-inc,179579, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n67, State-gov,173623, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,4931,0,30, United-States, <=50K.\n76, Self-emp-inc,99328, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,6514,0,40, United-States, >50K.\n41, Local-gov,224799, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n57, Self-emp-inc,231781, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,41763, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Local-gov,51240, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n30, Private,206923, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, Other, Female,0,1977,40, United-States, >50K.\n30, Self-emp-inc,132601, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,357348, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,2202,0,40, United-States, <=50K.\n22, Private,150683, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K.\n40, Self-emp-inc,188615, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,20, United-States, >50K.\n73, Private,159007, Bachelors,13, Divorced, Farming-fishing, Other-relative, White, Female,0,0,12, United-States, <=50K.\n23, Private,130959, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,2407,0,6, Canada, <=50K.\n51, Private,158746, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K.\n29, Private,498833, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Nicaragua, <=50K.\n46, Private,193188, Masters,14, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K.\n29, Self-emp-inc,136277, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,16, United-States, <=50K.\n34, Private,137991, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n38, Self-emp-not-inc,187098, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n62, Private,176839, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n30, State-gov,185384, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K.\n20, Private,87867, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n40, Private,111779, 11th,7, Divorced, Other-service, Unmarried, Black, Female,0,0,36, United-States, <=50K.\n37, Local-gov,185556, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,0,1980,35, United-States, <=50K.\n56, Private,59469, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, <=50K.\n63, Private,164435, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n25, Private,259336, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Peru, <=50K.\n40, Self-emp-not-inc,277488, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n53, Private,104258, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,141427, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n32, Private,267052, 10th,6, Never-married, Farming-fishing, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n33, Private,114764, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n50, Local-gov,151143, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n37, Private,176357, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,190303, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,2463,0,15, United-States, <=50K.\n28, Private,220692, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n46, Private,181970, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,263339, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K.\n21, Self-emp-not-inc,83704, 9th,5, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K.\n24, Private,324960, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n53, Private,96062, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n54, Private,96678, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n36, Private,33435, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n52, Self-emp-not-inc,399008, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,5013,0,40, United-States, <=50K.\n71, Private,159722, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,25, United-States, <=50K.\n36, Private,225172, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,135033, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Ecuador, <=50K.\n38, Private,179671, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, <=50K.\n56, Private,182460, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Private,231196, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n55, Private,181974, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Private,326104, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n51, Self-emp-inc,126850, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K.\n23, Private,33644, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n40, Private,92649, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n20, Private,353696, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,28, United-States, <=50K.\n36, Private,238342, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,882849, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n49, Self-emp-inc,318280, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n35, Private,151322, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K.\n31, Self-emp-inc,111567, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Private,279996, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K.\n48, Private,103743, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2002,70, United-States, <=50K.\n53, Private,30846, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,191393, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Male,0,1380,40, United-States, <=50K.\n35, State-gov,140564, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,5013,0,40, United-States, <=50K.\n37, Federal-gov,243177, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n55, Local-gov,104996, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, United-States, <=50K.\n27, Local-gov,191202, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,45, United-States, <=50K.\n47, Private,247379, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n44, Private,96129, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n47, ?,58440, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K.\n24, Private,125031, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n23, Private,183772, Assoc-acdm,12, Never-married, Adm-clerical, Other-relative, White, Female,0,0,70, United-States, <=50K.\n37, Private,78488, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n32, Self-emp-not-inc,121058, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n43, Private,84673, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, >50K.\n30, Private,172830, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,3325,0,40, United-States, <=50K.\n36, Private,307520, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K.\n21, Private,327797, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,108945, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K.\n52, Private,164473, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,38, United-States, <=50K.\n40, Private,144778, Bachelors,13, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K.\n54, Private,69477, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,60, United-States, >50K.\n45, Private,137946, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n28, Private,167737, Bachelors,13, Widowed, Other-service, Own-child, White, Male,0,1974,50, United-States, <=50K.\n30, Private,195602, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, ?, <=50K.\n31, Private,140206, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n42, Self-emp-inc,272551, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,1564,60, United-States, >50K.\n24, Private,114939, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n45, Local-gov,265477, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, France, >50K.\n51, Local-gov,252029, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K.\n29, Self-emp-inc,263786, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K.\n35, Private,397877, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,316438, 5th-6th,3, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n34, Local-gov,283921, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,199903, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n42, Private,339814, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n19, ?,191140, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n33, Private,174215, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, >50K.\n32, Private,124420, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,289228, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,45, United-States, >50K.\n27, Private,200610, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2580,0,40, United-States, <=50K.\n36, Private,140327, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,7298,0,35, United-States, >50K.\n39, Local-gov,86643, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, <=50K.\n33, Private,226624, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,365516, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n27, Private,153288, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,235124, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, ?, <=50K.\n28, Self-emp-inc,160731, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n17, Private,230999, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K.\n38, Private,453663, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K.\n28, Private,250967, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2105,0,40, United-States, <=50K.\n22, ?,96844, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,1602,20, United-States, <=50K.\n41, Federal-gov,149102, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,1980,40, United-States, <=50K.\n42, Private,226452, 9th,5, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, Mexico, <=50K.\n36, Private,34378, 7th-8th,4, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,60, United-States, <=50K.\n37, Local-gov,177277, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n38, Local-gov,316470, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n55, Local-gov,293104, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,380357, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, ?, >50K.\n36, Private,101318, Some-college,10, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, China, >50K.\n32, ?,339099, Some-college,10, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n52, Private,131662, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n20, Private,163333, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,20, United-States, <=50K.\n43, Private,71738, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,141276, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n61, Private,242552, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,37, Honduras, <=50K.\n30, Private,246439, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n38, Federal-gov,81232, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,157568, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,117476, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, State-gov,198201, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K.\n57, Private,167483, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K.\n19, Self-emp-inc,150384, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n18, ?,96244, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,45, United-States, <=50K.\n34, Private,33678, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,4508,0,35, United-States, <=50K.\n42, Private,180985, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K.\n36, Private,101192, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,207561, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n32, Private,105749, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n41, Self-emp-inc,443508, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,60, United-States, >50K.\n23, Private,249087, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K.\n31, Local-gov,279231, Assoc-voc,11, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,180477, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n51, Private,144522, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n36, Local-gov,248263, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, ?,498411, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n57, Private,102442, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n20, Private,262877, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n66, Self-emp-not-inc,325537, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,161638, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, Columbia, <=50K.\n46, Self-emp-not-inc,24367, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, >50K.\n38, Private,108140, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K.\n63, ?,205110, 10th,6, Widowed, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n43, Self-emp-inc,504423, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, Japan, >50K.\n37, Private,264700, HS-grad,9, Married-civ-spouse, Tech-support, Wife, Black, Female,0,0,35, United-States, <=50K.\n22, Private,335067, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n58, Private,153551, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,23, United-States, <=50K.\n43, Private,186077, HS-grad,9, Widowed, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n55, Local-gov,85001, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n45, Self-emp-not-inc,216999, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,107231, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n36, Self-emp-not-inc,52870, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,50, United-States, >50K.\n73, Self-emp-not-inc,228899, 7th-8th,4, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,99, United-States, <=50K.\n29, Local-gov,90956, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,186934, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n57, Self-emp-inc,37394, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n25, ?,30840, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,40, Germany, <=50K.\n32, Private,185177, Assoc-voc,11, Separated, Tech-support, Own-child, White, Male,0,1590,40, United-States, <=50K.\n34, Private,312055, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K.\n20, Private,176262, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n51, Self-emp-inc,161482, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n51, Private,373448, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2002,40, United-States, <=50K.\n45, Self-emp-not-inc,277630, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,48, United-States, <=50K.\n68, Self-emp-not-inc,150904, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n73, Private,187334, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,328937, 7th-8th,4, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K.\n35, Local-gov,132879, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Private,49159, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n38, Private,133299, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,55, United-States, <=50K.\n62, ?,268315, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Private,176430, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,211344, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Private,162302, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,32, United-States, <=50K.\n51, Private,229225, Masters,14, Divorced, Other-service, Not-in-family, Black, Female,0,0,18, United-States, >50K.\n49, Self-emp-not-inc,77404, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, ?, >50K.\n51, Local-gov,202044, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n28, Private,94128, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, ?,189888, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n32, Private,94041, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K.\n50, State-gov,322840, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Poland, >50K.\n47, Federal-gov,746660, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1887,40, United-States, >50K.\n54, Private,84587, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,38, Philippines, <=50K.\n41, Private,33126, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n29, Private,247445, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Self-emp-not-inc,210377, 10th,6, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, <=50K.\n19, ?,239862, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n33, Private,327112, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n37, Self-emp-not-inc,188563, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n62, ?,189098, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K.\n27, Private,26326, Assoc-voc,11, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n46, Private,145636, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,50, United-States, >50K.\n45, State-gov,255456, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, India, >50K.\n35, Private,196373, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1672,40, United-States, <=50K.\n32, Private,167476, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n32, State-gov,59083, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n36, Self-emp-not-inc,186934, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n62, ?,188650, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n33, Federal-gov,373043, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,34, Germany, <=50K.\n51, Private,250423, Some-college,10, Married-spouse-absent, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n29, Private,334032, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, State-gov,89487, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,230205, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,2001,32, United-States, <=50K.\n33, Private,212980, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n32, Private,351770, Some-college,10, Divorced, Farming-fishing, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, State-gov,167482, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,1980,40, United-States, <=50K.\n23, Private,42251, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n56, Self-emp-not-inc,52822, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K.\n41, Private,229472, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,93034, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K.\n35, Private,415167, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n76, Self-emp-not-inc,161182, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n38, Private,166549, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n42, Private,36296, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Private,272442, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,366139, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K.\n30, Self-emp-inc,127651, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,65, United-States, >50K.\n59, Private,158077, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n33, Private,154950, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n30, Local-gov,197886, Assoc-acdm,12, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,211518, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n26, Private,214303, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n34, Private,154120, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K.\n53, Private,186303, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,488459, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n66, Private,423883, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,117963, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n57, Self-emp-not-inc,38430, 7th-8th,4, Widowed, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K.\n30, Private,176969, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, ?,116839, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n23, Private,212407, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K.\n35, Local-gov,110075, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,50, United-States, >50K.\n40, Private,183096, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, Federal-gov,126754, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n28, Private,216178, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,188391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n17, ?,27251, 11th,7, Widowed, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n51, Private,40230, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, United-States, <=50K.\n47, Private,100009, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n27, ?,222442, Some-college,10, Divorced, ?, Own-child, White, Male,0,0,25, El-Salvador, <=50K.\n24, Local-gov,403471, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,48, United-States, <=50K.\n52, Private,161482, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Private,83141, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,4416,0,53, United-States, <=50K.\n68, Self-emp-inc,31661, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K.\n35, Private,101073, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n53, Local-gov,99682, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,2174,0,40, United-States, <=50K.\n23, Private,215395, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,343476, 11th,7, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n21, Private,178363, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K.\n52, Private,95872, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, ?, <=50K.\n49, Private,90907, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Outlying-US(Guam-USVI-etc), >50K.\n42, Private,165309, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n35, Private,208358, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,37, United-States, >50K.\n42, Private,171069, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,15024,0,40, United-States, >50K.\n46, Private,53540, Some-college,10, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, >50K.\n48, Private,29433, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,55, United-States, <=50K.\n48, Self-emp-not-inc,175622, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,231865, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,46, United-States, <=50K.\n51, Private,266336, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,50, United-States, >50K.\n44, Self-emp-not-inc,190290, Some-college,10, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,80, France, <=50K.\n74, Self-emp-not-inc,45319, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,1409,0,20, Canada, <=50K.\n17, Never-worked,131593, 11th,7, Never-married, ?, Own-child, Black, Female,0,0,20, United-States, <=50K.\n24, Local-gov,177913, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n51, Private,457357, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n43, Self-emp-inc,253811, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,55, United-States, >50K.\n48, Private,501671, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,48, United-States, <=50K.\n35, State-gov,227128, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n40, Federal-gov,39137, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Self-emp-not-inc,121038, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,43, United-States, <=50K.\n53, State-gov,119570, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n29, ?,99297, HS-grad,9, Married-civ-spouse, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Cambodia, <=50K.\n28, Self-emp-not-inc,169460, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K.\n33, Private,261639, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,4064,0,40, United-States, <=50K.\n21, Private,214542, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,22, United-States, <=50K.\n31, Private,141410, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n39, Private,370549, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, >50K.\n44, Self-emp-not-inc,234767, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, >50K.\n40, Private,104196, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n22, State-gov,52262, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, England, <=50K.\n22, ?,285775, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n60, Private,235336, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,70, United-States, <=50K.\n49, Private,165539, Some-college,10, Never-married, Priv-house-serv, Not-in-family, Black, Female,0,0,90, Jamaica, <=50K.\n41, Private,362815, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n24, State-gov,292816, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n26, Private,66692, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n55, Private,120910, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Self-emp-inc,116133, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,41, United-States, <=50K.\n49, State-gov,247043, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,215616, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n23, Private,131415, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K.\n64, Self-emp-not-inc,169604, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, >50K.\n50, Private,230858, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n23, Private,73968, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Private,339897, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,258406, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, Mexico, <=50K.\n30, Private,180574, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n44, Private,88808, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,179627, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,149823, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n20, Private,60639, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,46492, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,1902,40, United-States, >50K.\n36, Private,48520, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,306538, 12th,8, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n58, Private,204678, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K.\n48, Private,218676, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Local-gov,95455, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n53, Self-emp-not-inc,335655, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n55, Private,194436, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K.\n24, Private,152724, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n28, Private,242482, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Local-gov,162041, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n23, Private,291854, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n22, ?,48343, Some-college,10, Never-married, ?, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n77, ?,153113, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,1455,0,25, United-States, <=50K.\n38, Private,80680, 10th,6, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, ?,211601, Assoc-voc,11, Never-married, ?, Own-child, Black, Female,0,0,15, United-States, <=50K.\n31, Self-emp-inc,264554, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1977,40, United-States, >50K.\n29, Private,319998, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,194228, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Self-emp-not-inc,236247, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K.\n28, Self-emp-not-inc,123983, Masters,14, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,54, South, <=50K.\n49, Private,166215, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,178623, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,35, United-States, <=50K.\n51, Self-emp-not-inc,174102, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,8, United-States, <=50K.\n32, Private,292217, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,40, ?, <=50K.\n44, Private,198452, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,96497, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n62, ?,194660, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,216924, HS-grad,9, Divorced, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K.\n26, Private,206721, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K.\n37, State-gov,49105, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,25, United-States, <=50K.\n62, Federal-gov,164021, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,91608, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,323963, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n42, Private,70037, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n61, Private,289950, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K.\n65, Private,213149, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Federal-gov,320451, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024,0,40, Philippines, >50K.\n22, Private,351952, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K.\n50, Private,146015, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,281704, Some-college,10, Never-married, Farming-fishing, Other-relative, White, Male,0,0,8, United-States, <=50K.\n44, Federal-gov,786418, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,60, United-States, <=50K.\n29, Private,214689, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, Private,193188, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n55, Self-emp-inc,142020, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K.\n78, ?,317311, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,213416, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n47, Federal-gov,326048, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,191265, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n47, Private,348986, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,28, Taiwan, <=50K.\n24, Private,126613, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n26, ?,40032, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,150057, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Poland, <=50K.\n39, Private,113725, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,8614,0,40, United-States, >50K.\n24, Private,140500, 10th,6, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n31, Private,113364, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n65, Private,176219, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, South, <=50K.\n19, Private,146189, HS-grad,9, Never-married, Sales, Other-relative, Amer-Indian-Eskimo, Female,0,0,78, United-States, <=50K.\n45, Private,83993, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,56, United-States, >50K.\n33, Private,194336, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,50, United-States, >50K.\n61, State-gov,349434, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n55, Private,142020, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n27, Private,48894, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,42, United-States, <=50K.\n29, Private,226295, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,36, United-States, <=50K.\n40, Private,77313, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, >50K.\n36, Private,305935, HS-grad,9, Divorced, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n23, Private,287988, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n49, Local-gov,49275, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n39, Private,102865, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,209146, Masters,14, Divorced, Sales, Not-in-family, White, Male,27828,0,40, United-States, >50K.\n40, Private,173001, Some-college,10, Married-civ-spouse, Tech-support, Own-child, White, Female,0,1902,40, United-States, >50K.\n40, Private,277256, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,2559,55, United-States, >50K.\n46, Private,20534, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K.\n35, Private,60227, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, State-gov,176936, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K.\n42, Private,49255, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386,0,40, United-States, >50K.\n64, ?,232787, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,235095, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,190531, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n64, Without-pay,209291, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, >50K.\n23, Private,109053, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,60, United-States, <=50K.\n22, Private,183594, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,361608, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n43, Private,257028, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, Haiti, <=50K.\n34, Private,66561, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,37, United-States, <=50K.\n21, Private,176486, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K.\n21, Private,565313, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n34, Local-gov,198953, Some-college,10, Divorced, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n68, State-gov,99106, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n45, Private,213140, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,52, United-States, >50K.\n33, Private,66384, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K.\n41, Private,483201, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n19, ?,466458, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,45, United-States, <=50K.\n30, Private,90446, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K.\n69, Self-emp-not-inc,165017, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,120596, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n36, Private,345310, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K.\n20, ?,94746, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, Portugal, <=50K.\n38, Local-gov,338611, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n40, Self-emp-inc,275366, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n59, Private,188872, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,359397, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,0,40, United-States, <=50K.\n33, Private,158800, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,31510, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,358740, 11th,7, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K.\n31, Private,257148, Bachelors,13, Widowed, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K.\n48, Private,174525, 1st-4th,2, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,52, Dominican-Republic, <=50K.\n52, Private,161599, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n41, Private,193494, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K.\n40, Local-gov,231832, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Local-gov,146834, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K.\n24, Private,63927, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,278403, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K.\n53, Private,241141, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, ?, <=50K.\n70, Local-gov,127463, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Private,175017, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1672,40, United-States, <=50K.\n54, Private,56741, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n44, Private,107683, Assoc-voc,11, Married-civ-spouse, Craft-repair, Wife, White, Female,4386,0,40, United-States, >50K.\n42, Private,270324, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Jamaica, <=50K.\n47, State-gov,304512, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n34, Private,167049, Bachelors,13, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,20, United-States, >50K.\n39, Self-emp-inc,88973, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,84, United-States, >50K.\n52, Private,210736, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n21, State-gov,73514, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n57, Self-emp-not-inc,75785, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,70, United-States, <=50K.\n71, Self-emp-not-inc,137723, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,1455,0,3, United-States, <=50K.\n28, Private,220043, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n21, State-gov,132247, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K.\n38, Private,65390, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, ?,177144, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,22, India, <=50K.\n47, Local-gov,358668, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n85, Private,188328, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,5, United-States, <=50K.\n53, Private,350510, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Federal-gov,72257, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688,0,40, United-States, >50K.\n53, Private,183668, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3464,0,34, United-States, <=50K.\n46, Private,168262, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,153536, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,40, United-States, >50K.\n36, Private,189703, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, >50K.\n73, Local-gov,147703, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n23, Private,173670, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, <=50K.\n42, Private,231832, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,45, United-States, >50K.\n39, Private,33223, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n34, Private,130021, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K.\n57, Self-emp-not-inc,50990, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,308241, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,60, United-States, <=50K.\n20, Private,254025, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Private,377622, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n64, Private,217802, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,39477, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,138946, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n17, Private,35603, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n67, Private,142624, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K.\n22, Private,92609, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K.\n41, Self-emp-not-inc,111232, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n22, Private,203518, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n38, Local-gov,233571, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,45093, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,175431, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n90, Private,225063, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K.\n18, Private,391495, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n31, Private,162312, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,35, Philippines, <=50K.\n34, Self-emp-not-inc,151733, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n44, Private,172026, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K.\n17, Private,323164, 10th,6, Never-married, Craft-repair, Own-child, Other, Female,0,0,35, El-Salvador, <=50K.\n67, ?,129824, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,6, United-States, <=50K.\n21, Private,203715, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n57, Private,156040, 5th-6th,3, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n26, Private,186168, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n33, Private,154227, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,141327, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,103925, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n46, Private,118633, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,80, United-States, <=50K.\n48, Private,207540, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,99999,0,60, United-States, >50K.\n52, Self-emp-not-inc,106728, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K.\n28, Private,192237, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K.\n35, Private,132879, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,40, Italy, >50K.\n17, Private,148345, 11th,7, Never-married, Protective-serv, Own-child, White, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,326292, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K.\n38, Private,33975, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K.\n34, Private,112115, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n36, Private,129357, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Private,175958, Some-college,10, Separated, Other-service, Not-in-family, White, Male,0,0,21, United-States, <=50K.\n58, Private,125317, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n46, Private,424934, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,40, Portugal, <=50K.\n28, Private,204648, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n46, Private,186256, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,55, United-States, >50K.\n35, Local-gov,126569, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,89813, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,149576, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,220426, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Private,72055, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,94939, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K.\n29, Federal-gov,104917, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,44, United-States, <=50K.\n23, Private,314645, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n81, Self-emp-not-inc,108604, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n17, Private,153542, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n40, Private,226902, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n19, Private,450200, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n50, Self-emp-not-inc,279129, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K.\n42, Private,242619, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n18, Self-emp-inc,357223, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K.\n38, Private,206951, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n67, Private,70737, 9th,5, Widowed, Handlers-cleaners, Unmarried, White, Female,0,0,32, United-States, <=50K.\n55, Private,200939, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n46, Self-emp-inc,192128, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n31, Private,188798, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n23, ?,202920, Assoc-acdm,12, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n30, Private,205407, HS-grad,9, Divorced, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n23, ?,24008, Some-college,10, Never-married, ?, Own-child, White, Male,0,1719,40, United-States, <=50K.\n52, Private,172962, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n63, Local-gov,83791, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,45, United-States, <=50K.\n69, Private,304838, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,28, United-States, <=50K.\n40, Private,165858, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,80, United-States, >50K.\n33, Private,110592, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n81, Private,164416, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n71, Private,345339, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,28, United-States, <=50K.\n26, Private,129806, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n51, Local-gov,205100, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,32, United-States, >50K.\n26, Local-gov,250551, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n56, Self-emp-not-inc,285832, Masters,14, Married-civ-spouse, Sales, Wife, White, Female,0,0,70, United-States, <=50K.\n18, Private,338717, 11th,7, Never-married, Handlers-cleaners, Not-in-family, Other, Male,0,0,25, United-States, <=50K.\n43, State-gov,187802, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,37, United-States, <=50K.\n46, Private,215895, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,4787,0,60, United-States, >50K.\n30, Private,100135, Bachelors,13, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K.\n34, Private,137616, 9th,5, Never-married, Sales, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n36, Private,341672, HS-grad,9, Married-spouse-absent, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,0,0,60, India, <=50K.\n44, Private,322044, Some-college,10, Divorced, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n38, Private,149347, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n43, Self-emp-not-inc,293809, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K.\n46, Local-gov,93639, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n22, ?,166297, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K.\n61, Private,167840, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2002,38, United-States, <=50K.\n31, Private,180656, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, ?, <=50K.\n41, Self-emp-not-inc,197176, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n25, Private,207965, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n34, Federal-gov,23940, Some-college,10, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n39, Private,67433, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,4650,0,32, United-States, <=50K.\n20, Private,190916, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, Private,235892, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n18, Private,240767, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n27, Private,194515, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,37, United-States, <=50K.\n33, Private,156464, 10th,6, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,117728, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n49, Self-emp-inc,195727, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,133454, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,191177, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,1726,40, United-States, <=50K.\n56, State-gov,71075, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n18, Private,233740, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,18, United-States, <=50K.\n65, Private,185455, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n17, Private,141445, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n27, Private,131712, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,50, United-States, >50K.\n23, Private,210338, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,30, United-States, <=50K.\n39, Private,465334, 11th,7, Divorced, Farming-fishing, Unmarried, White, Male,0,0,1, United-States, <=50K.\n46, Private,168069, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n32, Private,80557, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K.\n34, Private,110622, Bachelors,13, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n26, Private,40255, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n80, ?,402748, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,14, Canada, <=50K.\n61, Private,97030, 10th,6, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n19, ?,39477, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n31, Self-emp-not-inc,152351, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K.\n56, Federal-gov,229939, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,131230, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n48, Private,182211, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n73, Private,57435, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, >50K.\n29, ?,225654, HS-grad,9, Never-married, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n28, Private,252424, Assoc-voc,11, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, Cambodia, <=50K.\n48, ?,155509, 11th,7, Divorced, ?, Unmarried, Black, Female,0,0,10, Haiti, <=50K.\n41, Private,29591, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n28, Private,101774, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,50, United-States, >50K.\n37, Local-gov,74194, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n20, Private,171156, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K.\n45, Private,145637, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Female,14344,0,48, United-States, >50K.\n34, Private,172714, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n72, Private,188528, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, Canada, >50K.\n54, Federal-gov,89705, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,165107, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n23, Private,347873, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,30, Vietnam, <=50K.\n21, ?,298342, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n49, Local-gov,53482, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n45, Private,162958, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n41, Self-emp-not-inc,366483, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,36, Mexico, <=50K.\n51, Federal-gov,335481, Some-college,10, Separated, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, >50K.\n40, Private,197609, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,1340,40, United-States, <=50K.\n29, State-gov,160731, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, Germany, <=50K.\n26, Private,210848, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,2635,0,35, Mexico, <=50K.\n59, Private,196126, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,201519, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Local-gov,121124, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n22, State-gov,203518, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n52, Private,254230, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n39, Private,136531, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,47, United-States, <=50K.\n25, Private,108505, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Self-emp-not-inc,31095, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K.\n37, Private,149347, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n33, Self-emp-not-inc,188246, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,1590,60, United-States, <=50K.\n48, State-gov,185859, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K.\n29, Private,227879, Assoc-voc,11, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n59, Private,75541, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,99385, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n49, Private,403061, 1st-4th,2, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, Mexico, <=50K.\n23, State-gov,82067, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,140434, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n34, Private,159268, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n20, ?,162945, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Private,365430, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n50, Self-emp-not-inc,163678, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Private,230919, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,60, United-States, >50K.\n37, Private,112264, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Self-emp-not-inc,192900, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n23, Private,355856, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K.\n20, ?,156916, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K.\n37, Private,172927, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,1741,70, United-States, <=50K.\n19, ?,170125, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K.\n35, Private,305379, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K.\n24, Private,206974, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n23, Federal-gov,482096, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K.\n23, Local-gov,267843, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,32, United-States, <=50K.\n27, Private,173927, Some-college,10, Never-married, Tech-support, Own-child, Other, Female,0,0,32, Jamaica, <=50K.\n25, Private,225865, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K.\n27, State-gov,261278, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,80, ?, <=50K.\n68, ?,180082, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,23, United-States, <=50K.\n45, Private,115187, Assoc-voc,11, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n55, Private,451603, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,145041, Bachelors,13, Divorced, Machine-op-inspct, Other-relative, White, Male,0,2258,50, Dominican-Republic, <=50K.\n31, Self-emp-not-inc,132705, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Local-gov,177695, HS-grad,9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n40, Private,197033, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,307267, Masters,14, Never-married, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K.\n39, Self-emp-not-inc,341643, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,1669,50, United-States, <=50K.\n32, Private,256362, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n55, Self-emp-not-inc,153484, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n46, Federal-gov,308077, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K.\n29, Private,156266, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Male,0,0,25, United-States, <=50K.\n49, Self-emp-inc,106634, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,27828,0,35, United-States, >50K.\n59, Private,198435, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n30, Private,37210, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,237914, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n58, Private,186106, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n58, Private,236731, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Cuba, <=50K.\n20, Self-emp-inc,465725, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K.\n43, Private,343121, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n19, Private,298435, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,2001,40, Cuba, <=50K.\n40, State-gov,255824, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n23, Local-gov,255252, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n61, Private,184167, 12th,8, Married-civ-spouse, Craft-repair, Wife, Black, Female,0,0,40, United-States, <=50K.\n54, Private,145419, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n32, Private,87310, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n25, Self-emp-not-inc,55048, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,36, United-States, <=50K.\n30, Private,104052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K.\n19, Private,41163, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n23, ?,502633, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n65, Private,176279, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K.\n25, Private,279833, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1590,44, United-States, <=50K.\n21, Private,254351, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n48, Private,284916, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, ?, <=50K.\n23, Self-emp-not-inc,188925, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Private,180954, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,108023, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n31, Private,197058, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,2597,0,45, United-States, <=50K.\n58, Private,100303, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,473133, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n32, State-gov,27051, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K.\n29, Private,163708, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,45, United-States, >50K.\n61, Private,52765, HS-grad,9, Divorced, Other-service, Other-relative, White, Female,0,0,99, United-States, <=50K.\n43, Self-emp-inc,84924, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, >50K.\n38, Private,181705, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,52012, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K.\n36, Private,167691, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n45, Federal-gov,182470, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n62, Private,200834, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n46, State-gov,76075, Assoc-voc,11, Divorced, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n42, Self-emp-not-inc,200574, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n31, Private,29144, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n42, Self-emp-not-inc,34722, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,177907, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K.\n51, Private,238481, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1902,42, United-States, >50K.\n45, Private,182541, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n73, Federal-gov,142426, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,25124,0,20, United-States, >50K.\n19, Private,216413, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,55, United-States, <=50K.\n29, Private,30070, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,82699, Prof-school,15, Divorced, Prof-specialty, Not-in-family, Black, Female,13550,0,70, United-States, >50K.\n32, Private,236861, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n46, Private,114328, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,198229, Prof-school,15, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,65, United-States, >50K.\n24, Private,138892, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n41, Local-gov,271927, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n64, ?,220258, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n28, Private,212588, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n57, Private,477867, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,394927, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n35, Private,155611, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,114,0,40, United-States, <=50K.\n39, Private,109351, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K.\n38, Private,206520, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,156526, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,315437, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,181665, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,50, United-States, <=50K.\n40, Private,60594, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K.\n29, Private,221233, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,37, United-States, <=50K.\n36, Self-emp-inc,176900, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,25, United-States, <=50K.\n47, Private,64563, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,42, United-States, >50K.\n23, Private,99408, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,219869, Some-college,10, Widowed, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K.\n41, Local-gov,135056, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,8614,0,50, United-States, >50K.\n18, Private,79077, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,22, United-States, <=50K.\n34, Private,255830, Assoc-acdm,12, Divorced, Craft-repair, Unmarried, Black, Female,7443,0,40, United-States, <=50K.\n38, Self-emp-not-inc,22245, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n34, Private,150154, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n62, State-gov,342049, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n66, Self-emp-not-inc,99927, HS-grad,9, Widowed, Tech-support, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n18, Private,191784, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n41, Private,175883, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,328239, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n45, Private,107231, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n24, Local-gov,155818, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n60, Private,282421, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, ?, <=50K.\n39, Private,241998, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Federal-gov,55363, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K.\n29, Private,137240, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n37, Private,361951, Bachelors,13, Never-married, Sales, Not-in-family, Black, Male,0,0,48, ?, <=50K.\n21, State-gov,311311, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,12, United-States, <=50K.\n48, Private,186299, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,168055, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K.\n23, Private,305423, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n49, Private,393715, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n29, Private,36440, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Self-emp-not-inc,106761, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n72, ?,235014, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,2465,40, United-States, <=50K.\n29, Local-gov,249932, 11th,7, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n45, Private,382242, Bachelors,13, Never-married, Adm-clerical, Unmarried, White, Female,0,0,30, ?, <=50K.\n29, Private,213152, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,52, United-States, <=50K.\n37, State-gov,26898, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Private,435356, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K.\n70, ?,103963, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,6, United-States, <=50K.\n43, Private,185860, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n63, Private,188999, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K.\n64, Self-emp-not-inc,108654, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1421,35, United-States, <=50K.\n38, Private,54953, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n24, Private,130620, Some-college,10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K.\n29, Private,273884, HS-grad,9, Married-spouse-absent, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K.\n30, Private,392518, Assoc-acdm,12, Married-spouse-absent, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n66, Self-emp-not-inc,198766, HS-grad,9, Widowed, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,66935, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Federal-gov,135500, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n22, Local-gov,111697, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K.\n31, Private,141288, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,296450, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Private,94448, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,138200, Assoc-acdm,12, Never-married, Farming-fishing, Own-child, White, Female,0,0,40, United-States, <=50K.\n40, Private,217826, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, Haiti, <=50K.\n57, ?,182836, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,3103,0,40, United-States, >50K.\n64, Self-emp-not-inc,46366, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n31, Private,168275, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K.\n74, Local-gov,214514, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n43, State-gov,107439, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K.\n80, Self-emp-inc,164909, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,54, United-States, >50K.\n28, Federal-gov,329426, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n77, Local-gov,181974, 7th-8th,4, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n68, Private,176468, HS-grad,9, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,24, United-States, <=50K.\n51, State-gov,187686, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n21, Private,229769, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K.\n43, Private,45975, 12th,8, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Italy, <=50K.\n42, Private,187702, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, Private,102585, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n30, Private,327112, 11th,7, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, ?,167558, 7th-8th,4, Married-civ-spouse, ?, Wife, White, Female,0,0,40, Mexico, <=50K.\n32, Private,296538, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K.\n56, Private,169560, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n50, Private,185283, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,224793, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,1719,40, United-States, <=50K.\n23, Federal-gov,478457, 11th,7, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n54, Private,104413, Some-college,10, Separated, Tech-support, Other-relative, Black, Female,4101,0,40, United-States, <=50K.\n28, Self-emp-not-inc,175710, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, ?, <=50K.\n34, Private,85632, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n48, Private,102359, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n56, Local-gov,237546, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, <=50K.\n31, Private,96245, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,42, United-States, <=50K.\n42, Private,91453, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K.\n36, Private,131039, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Trinadad&Tobago, <=50K.\n52, Private,106176, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Male,0,3770,40, United-States, <=50K.\n55, Private,329797, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,153932, 11th,7, Married-civ-spouse, Craft-repair, Own-child, White, Male,2580,0,30, United-States, <=50K.\n35, State-gov,52738, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K.\n51, Private,25932, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, >50K.\n19, Private,78374, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n59, Private,653215, 11th,7, Widowed, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K.\n19, Private,318061, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,80, United-States, <=50K.\n46, State-gov,260782, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, ?,340580, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,45, United-States, <=50K.\n46, Self-emp-not-inc,45564, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,209051, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n55, Private,100821, HS-grad,9, Married-spouse-absent, Priv-house-serv, Not-in-family, Black, Female,0,0,36, United-States, <=50K.\n28, Private,86268, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n61, Federal-gov,95680, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,3103,0,40, United-States, >50K.\n35, Private,327164, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, >50K.\n21, ?,117210, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Local-gov,136175, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,35, United-States, <=50K.\n21, Private,232591, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,8, United-States, <=50K.\n33, Local-gov,29144, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Self-emp-inc,64875, Assoc-voc,11, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n44, Private,184011, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,60, United-States, <=50K.\n29, Private,244246, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,8614,0,50, United-States, >50K.\n39, Private,357173, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n32, Private,203181, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K.\n47, Private,299508, HS-grad,9, Divorced, Tech-support, Unmarried, Black, Female,0,0,55, United-States, <=50K.\n28, Private,198493, Assoc-acdm,12, Never-married, Adm-clerical, Other-relative, White, Male,0,0,35, United-States, <=50K.\n59, Local-gov,358747, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K.\n38, Private,91039, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,5178,0,48, United-States, >50K.\n23, Private,34918, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n44, Private,97159, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n55, Federal-gov,212600, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, ?, >50K.\n65, Private,90113, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n19, Private,96705, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,14, United-States, <=50K.\n58, Private,156873, 11th,7, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,35, United-States, <=50K.\n49, Private,136358, Masters,14, Divorced, Sales, Unmarried, Other, Female,0,0,20, Peru, <=50K.\n44, Private,227065, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, ?, >50K.\n44, Local-gov,193144, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K.\n33, Private,317660, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n38, Self-emp-not-inc,85492, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n37, Local-gov,203628, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,54, United-States, >50K.\n30, Private,183801, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,132686, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,50818, Masters,14, Never-married, Tech-support, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n49, State-gov,160812, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n28, Private,212286, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n61, Local-gov,77072, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n41, State-gov,176155, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n20, State-gov,219211, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K.\n40, Private,356934, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n57, Private,143266, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, ?, >50K.\n36, ?,194809, Bachelors,13, Never-married, ?, Own-child, White, Female,0,0,50, United-States, <=50K.\n62, Private,138157, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,437825, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K.\n31, Private,165503, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, ?, <=50K.\n68, Private,152053, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n18, Private,211273, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,19, United-States, <=50K.\n30, State-gov,576645, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K.\n42, ?,148951, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,12, Ecuador, <=50K.\n38, Private,38145, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K.\n19, Private,66619, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,37, United-States, <=50K.\n22, Private,126613, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, France, <=50K.\n46, State-gov,135854, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n57, Private,132145, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n65, ?,194920, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n18, Private,260387, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Cuba, <=50K.\n67, Private,176388, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n28, Private,77009, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K.\n30, Private,385177, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,24, United-States, >50K.\n20, Private,510643, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,100135, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K.\n35, Private,297697, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n38, Private,179481, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n23, Private,134045, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n64, Self-emp-not-inc,275034, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K.\n33, Private,127651, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,8614,0,40, United-States, >50K.\n24, Private,237262, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n18, ?,274445, HS-grad,9, Never-married, ?, Own-child, White, Male,0,1602,20, United-States, <=50K.\n40, ?,141583, Bachelors,13, Never-married, ?, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n27, ?,294642, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,181179, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, <=50K.\n27, Private,184493, HS-grad,9, Separated, Handlers-cleaners, Own-child, White, Female,0,1594,25, United-States, <=50K.\n48, Local-gov,125892, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n27, Local-gov,118235, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,40, United-States, <=50K.\n24, Private,119329, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n31, Self-emp-not-inc,189843, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n42, Private,167357, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,213,40, United-States, <=50K.\n51, Private,103803, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,50, United-States, <=50K.\n41, Private,145175, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,3103,0,40, United-States, >50K.\n26, Private,158846, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,44, United-States, <=50K.\n69, Private,203313, 7th-8th,4, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n63, Private,125954, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, >50K.\n35, Private,102178, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K.\n35, Private,139364, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n62, Self-emp-not-inc,265007, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Ecuador, <=50K.\n26, Private,61996, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,62, United-States, <=50K.\n63, Private,209790, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,117779, 12th,8, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n43, Self-emp-inc,173326, HS-grad,9, Never-married, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K.\n44, Private,318046, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K.\n56, Local-gov,204021, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n54, Self-emp-not-inc,236157, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n32, Private,42900, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n42, Private,144002, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n37, Private,126954, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,228649, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Private,126094, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,113106, HS-grad,9, Never-married, Sales, Other-relative, White, Female,0,0,19, United-States, <=50K.\n30, Private,118941, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n43, Federal-gov,205675, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,75, United-States, >50K.\n19, Private,89295, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,35, United-States, <=50K.\n30, Private,173858, HS-grad,9, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,2597,0,40, ?, <=50K.\n26, Private,168251, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n38, State-gov,143059, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n74, ?,41737, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,2149,30, United-States, <=50K.\n54, Private,266598, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,181796, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n22, State-gov,214731, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n40, Private,219869, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,99999,0,75, United-States, >50K.\n23, Private,211968, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n22, Private,38707, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n18, Self-emp-not-inc,58700, 9th,5, Never-married, Farming-fishing, Other-relative, Other, Female,0,0,40, Mexico, <=50K.\n24, Private,160261, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,20, France, <=50K.\n30, Private,160594, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n38, Private,152307, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,41, United-States, >50K.\n27, Private,100079, HS-grad,9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,60, China, <=50K.\n21, Private,279472, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n43, Private,149102, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,177625, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Federal-gov,178678, 10th,6, Divorced, Adm-clerical, Unmarried, White, Female,0,1380,50, United-States, <=50K.\n58, Self-emp-not-inc,21383, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,86019, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n63, Private,181153, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, ?, >50K.\n36, Federal-gov,223749, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n21, ?,33087, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K.\n21, Private,253190, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n51, Private,165278, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,46, United-States, >50K.\n51, Private,279452, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, Mexico, <=50K.\n43, Private,290660, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n47, Private,274883, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K.\n68, Self-emp-not-inc,35468, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,24, United-States, <=50K.\n18, Private,195318, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,23, United-States, <=50K.\n34, Private,256362, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Italy, >50K.\n49, Private,148169, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,5013,0,40, United-States, <=50K.\n65, Self-emp-not-inc,538099, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K.\n19, Private,186682, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n59, Self-emp-not-inc,156797, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,13550,0,60, United-States, >50K.\n29, Private,162257, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,208881, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,60, United-States, >50K.\n39, Private,159168, Assoc-voc,11, Widowed, Exec-managerial, Unmarried, White, Female,0,3004,40, United-States, >50K.\n64, Private,172740, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,12, United-States, <=50K.\n48, Federal-gov,186256, HS-grad,9, Divorced, Farming-fishing, Other-relative, White, Male,0,0,40, United-States, <=50K.\n37, Federal-gov,110861, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,128699, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, Ecuador, <=50K.\n31, Private,271933, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K.\n30, Private,102320, Assoc-voc,11, Separated, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K.\n54, Self-emp-inc,117674, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n62, Private,190273, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n59, Private,217747, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K.\n44, Private,99830, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K.\n40, Private,343068, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n32, State-gov,204052, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n28, Private,267912, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n31, Private,207537, Some-college,10, Separated, Sales, Not-in-family, White, Male,2174,0,52, United-States, <=50K.\n38, Private,256864, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n39, Self-emp-not-inc,306678, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,101204, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,4064,0,40, United-States, <=50K.\n43, Private,77373, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,47, United-States, >50K.\n27, Private,371103, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n46, Private,316271, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n56, Self-emp-not-inc,51916, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n34, Private,159008, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, >50K.\n27, Private,153475, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n19, Private,118549, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K.\n58, Private,315081, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, >50K.\n20, Private,122622, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,81786, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n31, Private,194752, HS-grad,9, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,45, United-States, <=50K.\n48, Private,208662, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K.\n28, Self-emp-inc,173944, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,15024,0,65, United-States, >50K.\n34, State-gov,49325, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,425502, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n25, Local-gov,55360, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n23, Private,432480, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n48, Private,155781, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,2231,30, United-States, >50K.\n37, Local-gov,216473, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, >50K.\n36, Private,185366, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Private,247515, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, Puerto-Rico, <=50K.\n70, Private,210673, 10th,6, Widowed, Adm-clerical, Other-relative, White, Male,0,0,20, United-States, <=50K.\n32, Private,107435, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, ?,217300, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n20, ?,39803, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Private,482211, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n47, Federal-gov,169549, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,60, ?, >50K.\n23, Private,353542, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n40, Private,114200, HS-grad,9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-not-inc,245173, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,212895, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n49, ?,95636, 10th,6, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Self-emp-not-inc,271486, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n37, Private,258836, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n56, Private,288530, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,37, United-States, >50K.\n64, Private,47589, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n31, Private,295099, Some-college,10, Divorced, Tech-support, Own-child, Black, Female,0,0,40, United-States, <=50K.\n38, Private,275338, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,45, United-States, <=50K.\n52, Self-emp-not-inc,168553, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,142766, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,18, United-States, <=50K.\n31, Private,72887, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,47, United-States, >50K.\n35, Private,102946, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,1669,45, United-States, <=50K.\n66, Self-emp-not-inc,244749, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, Cuba, <=50K.\n36, Private,166115, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, United-States, <=50K.\n26, Private,213383, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-inc,107231, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n17, ?,130969, 9th,5, Never-married, ?, Own-child, Black, Male,0,0,20, United-States, <=50K.\n27, Private,221977, 1st-4th,2, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female,0,0,40, Mexico, <=50K.\n41, Private,43467, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,99, United-States, <=50K.\n52, Private,357596, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K.\n48, Private,146497, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, United-States, >50K.\n33, Private,317809, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,190290, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K.\n59, Private,194573, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K.\n72, ?,144461, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, >50K.\n52, Local-gov,240638, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n18, Private,52776, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n40, Private,50524, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n54, Private,324023, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n17, Private,110916, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K.\n23, Private,203924, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n53, Private,214868, Assoc-voc,11, Never-married, Adm-clerical, Other-relative, Black, Female,0,2001,40, United-States, <=50K.\n27, Private,275466, 10th,6, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n27, Local-gov,198708, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, <=50K.\n23, Private,179241, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n32, Private,154981, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n29, Private,178811, Assoc-voc,11, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,130018, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n47, Federal-gov,87504, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,50, United-States, <=50K.\n29, Private,377414, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Private,177927, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n60, Private,137490, 5th-6th,3, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n25, Private,262617, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, >50K.\n50, Private,30682, 7th-8th,4, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n60, Private,119684, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K.\n52, Private,187938, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,49, United-States, <=50K.\n35, Private,122353, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,75755, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K.\n43, Private,91316, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K.\n55, Private,134789, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n22, Private,115892, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Private,104457, Bachelors,13, Married-spouse-absent, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, ?, <=50K.\n51, Local-gov,230767, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, Cuba, <=50K.\n61, Private,227332, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n29, Private,160264, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,174533, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n73, Private,53114, Some-college,10, Widowed, Sales, Not-in-family, White, Female,2538,0,20, United-States, <=50K.\n20, Private,163870, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Private,228709, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n36, Private,172571, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n28, Private,335542, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,1628,50, United-States, <=50K.\n63, Local-gov,241404, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n50, Private,197189, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n59, ?,102058, 1st-4th,2, Married-civ-spouse, ?, Husband, White, Male,0,0,45, Portugal, <=50K.\n41, Self-emp-inc,104813, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n62, Private,261437, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,366842, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, ?, >50K.\n21, ?,121468, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n48, Self-emp-inc,214994, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n67, Private,229709, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n43, Private,249039, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, >50K.\n49, Private,142287, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n54, Private,259323, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,238281, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K.\n60, Private,156774, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n27, Private,86153, HS-grad,9, Never-married, Tech-support, Unmarried, White, Female,0,0,40, Germany, <=50K.\n62, Private,93997, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K.\n39, Self-emp-inc,91039, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K.\n52, Private,224198, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,51, United-States, <=50K.\n54, Private,221336, HS-grad,9, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n28, Private,128012, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, ?, <=50K.\n53, Local-gov,231166, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,79702, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n24, Self-emp-not-inc,132320, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n37, ?,33355, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K.\n55, ?,177557, HS-grad,9, Divorced, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n47, Private,148549, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n26, Private,301563, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,113106, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n41, Private,304175, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n25, State-gov,230200, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n17, Private,313444, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n34, Private,247328, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K.\n34, Private,132565, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n41, State-gov,539019, Some-college,10, Never-married, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n24, Private,114292, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n32, Private,227608, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n21, State-gov,185554, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,11, United-States, <=50K.\n46, Self-emp-not-inc,181372, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,344592, HS-grad,9, Never-married, Sales, Not-in-family, Black, Female,0,0,35, United-States, <=50K.\n29, Self-emp-not-inc,102326, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n43, Self-emp-not-inc,220647, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2377,50, United-States, <=50K.\n18, ?,30246, 11th,7, Never-married, ?, Own-child, White, Female,0,0,45, United-States, <=50K.\n33, Private,496743, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,88, United-States, <=50K.\n21, Private,161508, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, State-gov,30494, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, Private,256764, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1564,40, United-States, >50K.\n20, ?,49819, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, ?,338281, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,20, Iran, <=50K.\n21, Local-gov,256356, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K.\n25, Private,318644, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Private,227594, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n59, Private,165695, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,32, United-States, >50K.\n55, Private,127728, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n49, Private,123681, Assoc-acdm,12, Separated, Sales, Unmarried, White, Male,0,0,35, United-States, <=50K.\n48, Private,168038, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,1564,50, United-States, >50K.\n32, Private,154950, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,44, United-States, >50K.\n25, Private,148298, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n41, Private,63042, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,20, United-States, <=50K.\n57, Local-gov,101444, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,455379, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n25, Private,211097, 5th-6th,3, Divorced, Other-service, Unmarried, Other, Female,0,0,20, Honduras, <=50K.\n61, Local-gov,153264, HS-grad,9, Widowed, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, ?,263220, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n43, Private,180138, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K.\n22, Private,208946, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, ?, <=50K.\n33, Private,321709, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, >50K.\n39, Private,215981, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n44, State-gov,26880, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,1092,40, United-States, <=50K.\n30, Self-emp-not-inc,90705, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,185068, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,20, Puerto-Rico, <=50K.\n37, Private,268390, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Mexico, <=50K.\n55, Private,102058, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n51, Self-emp-not-inc,421132, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,191803, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,13, ?, <=50K.\n60, Private,181954, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,25, Iran, <=50K.\n17, ?,34505, 11th,7, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K.\n30, Private,93973, 11th,7, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K.\n63, Private,355459, 12th,8, Widowed, Priv-house-serv, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n37, Private,173586, 7th-8th,4, Never-married, Other-service, Own-child, Black, Male,0,0,56, United-States, <=50K.\n32, Private,312055, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n64, Federal-gov,353479, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,45, United-States, >50K.\n21, Private,321426, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,49, United-States, <=50K.\n53, Private,228752, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n46, Private,281647, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,161615, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Private,187376, Assoc-acdm,12, Separated, Adm-clerical, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n47, Private,234994, 7th-8th,4, Separated, Craft-repair, Unmarried, White, Male,0,0,40, Puerto-Rico, <=50K.\n58, ?,169329, 9th,5, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K.\n40, Private,216116, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, Jamaica, <=50K.\n36, Private,109204, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n57, Private,88879, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,200863, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n23, Private,223811, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n32, Private,360761, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n33, Private,166275, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,149102, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,117381, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,306993, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Local-gov,232475, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n56, Private,165867, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,268234, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K.\n59, Self-emp-inc,110457, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n21, Private,329174, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,4865,0,40, United-States, <=50K.\n37, Private,109472, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Private,418176, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n28, Private,380390, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n18, ?,36064, 12th,8, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n59, Self-emp-inc,95835, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n25, Local-gov,250770, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n17, Private,67603, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K.\n30, State-gov,352045, Masters,14, Separated, Craft-repair, Not-in-family, White, Male,99999,0,40, United-States, >50K.\n21, Private,196742, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,28, United-States, <=50K.\n31, Private,303942, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n56, Private,246687, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n64, Self-emp-not-inc,187793, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,205816, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n60, Private,182343, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Private,42959, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n46, Private,140644, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,2258,50, United-States, <=50K.\n19, Private,183264, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,30, United-States, <=50K.\n49, Private,294671, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Private,88926, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n65, Private,64667, Some-college,10, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K.\n27, Private,416946, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n52, Private,208570, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Private,116649, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n78, Local-gov,87052, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,5, United-States, <=50K.\n46, Self-emp-not-inc,102869, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n60, Self-emp-inc,123552, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, Ireland, <=50K.\n28, Private,157262, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n17, Private,146890, 9th,5, Never-married, Farming-fishing, Own-child, Black, Male,0,0,20, United-States, <=50K.\n57, Private,257200, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n48, Local-gov,452402, Doctorate,16, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,15, United-States, <=50K.\n39, Private,531055, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n38, Self-emp-inc,298539, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n20, Private,95989, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n32, Private,162572, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,48, United-States, >50K.\n41, Local-gov,75313, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K.\n66, Private,117162, 10th,6, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n46, Private,173461, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K.\n48, Private,349986, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K.\n24, Private,204244, 9th,5, Never-married, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n31, Private,36222, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n38, Self-emp-inc,320811, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n57, Private,82676, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n20, Private,152189, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n54, Self-emp-inc,52565, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n62, ?,121319, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,144301, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K.\n21, Private,162869, Some-college,10, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n23, Private,179241, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K.\n34, State-gov,62327, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,121012, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K.\n43, Private,60001, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K.\n55, ?,105582, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K.\n34, Local-gov,454076, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n21, State-gov,155818, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n40, Private,434081, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n48, Federal-gov,265386, Assoc-acdm,12, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n47, Private,44671, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K.\n63, Private,190296, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K.\n33, Federal-gov,198827, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n64, ?,22228, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, >50K.\n28, Private,109857, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n21, Self-emp-not-inc,190968, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,25, United-States, <=50K.\n51, Private,75235, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n67, Self-emp-inc,127605, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,60, Italy, >50K.\n33, Private,318982, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K.\n31, Private,229636, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2042,40, Mexico, <=50K.\n46, Private,233802, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, >50K.\n45, Self-emp-not-inc,28119, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n66, State-gov,198363, 7th-8th,4, Widowed, Other-service, Not-in-family, Black, Female,2964,0,40, United-States, <=50K.\n58, Local-gov,153914, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n40, Private,143582, Masters,14, Widowed, Sales, Own-child, Asian-Pac-Islander, Female,0,0,50, United-States, <=50K.\n71, ?,78786, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,2149,24, United-States, <=50K.\n42, State-gov,126333, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,182689, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,35, United-States, >50K.\n19, Private,35245, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K.\n19, Private,160120, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,2597,0,40, ?, <=50K.\n37, Self-emp-not-inc,400287, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,15, United-States, >50K.\n22, Private,50610, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n64, Private,349826, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,35890, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,174209, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n47, Private,63225, 1st-4th,2, Divorced, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n35, Private,164519, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n23, Private,81145, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K.\n32, Local-gov,73514, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, Asian-Pac-Islander, Female,0,0,50, United-States, <=50K.\n49, Local-gov,452402, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,7688,0,35, United-States, >50K.\n19, ?,318056, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n27, Private,285897, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,40, United-States, >50K.\n19, ?,194404, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,32, United-States, <=50K.\n20, Private,434710, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n42, Federal-gov,177142, Bachelors,13, Never-married, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K.\n35, Federal-gov,182863, Bachelors,13, Separated, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K.\n62, Private,394645, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n46, Private,110457, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,292465, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K.\n35, Private,238433, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K.\n55, Private,160631, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4508,0,8, Yugoslavia, <=50K.\n29, Private,285657, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n24, Private,236907, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K.\n19, Private,378418, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K.\n50, Self-emp-not-inc,213279, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,105503, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,79160, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n62, ?,139391, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Ireland, >50K.\n33, Self-emp-not-inc,190027, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,70, United-States, >50K.\n79, Private,160758, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K.\n33, Private,361280, Doctorate,16, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K.\n36, Private,199288, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n46, Self-emp-not-inc,204698, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n17, Private,213354, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,6, United-States, <=50K.\n22, Private,282579, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n39, Private,99783, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n27, Private,446947, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,55, United-States, <=50K.\n57, Private,186202, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Self-emp-inc,177951, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,32, United-States, <=50K.\n28, Private,258364, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n46, Local-gov,200727, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n32, Self-emp-not-inc,33404, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,10520,0,50, United-States, >50K.\n63, Federal-gov,31115, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K.\n21, Private,301915, 11th,7, Separated, Sales, Not-in-family, Other, Female,0,0,30, Mexico, <=50K.\n44, Private,201908, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5013,0,40, United-States, <=50K.\n40, Private,168071, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n32, Private,347623, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,35890, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n31, Private,154227, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,161532, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,178282, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,263561, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,201783, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n30, Private,161153, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Private,193125, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K.\n28, Private,126060, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,99999,0,36, United-States, >50K.\n52, Private,186826, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,1564,40, United-States, >50K.\n32, Private,156192, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n35, Private,193094, HS-grad,9, Never-married, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K.\n26, Private,472411, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,147069, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K.\n40, Private,300195, Some-college,10, Divorced, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n75, ?,91417, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K.\n23, Private,182342, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, Italy, <=50K.\n32, Private,258406, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Mexico, <=50K.\n27, Private,87239, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n25, Private,294406, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n18, ?,41385, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,4508,0,40, United-States, <=50K.\n66, Private,197414, 7th-8th,4, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n47, Private,323212, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n57, Local-gov,31532, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K.\n30, Private,127610, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,20, Greece, <=50K.\n26, Private,163189, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,594187, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K.\n39, Private,269323, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,1485,38, United-States, >50K.\n33, Private,96480, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, United-States, >50K.\n58, Private,200316, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,212780, HS-grad,9, Never-married, Sales, Not-in-family, Black, Female,0,0,30, United-States, <=50K.\n49, Self-emp-inc,120121, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n20, Private,367240, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n24, Private,117606, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,35, United-States, <=50K.\n33, Private,122749, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K.\n59, Private,169560, 10th,6, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,269890, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n43, Private,303426, HS-grad,9, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Male,5721,0,40, Philippines, <=50K.\n25, Private,112835, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n17, Private,226503, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n46, Private,207733, 1st-4th,2, Widowed, Other-service, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K.\n20, Private,275421, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n37, Local-gov,165883, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n56, Self-emp-inc,236676, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n19, ?,171578, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K.\n30, Private,685955, Bachelors,13, Never-married, Sales, Unmarried, Black, Male,0,0,50, United-States, <=50K.\n32, Private,72887, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n34, Private,135304, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n27, Private,218781, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,126540, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,261943, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Guatemala, <=50K.\n34, State-gov,111843, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,3325,0,40, United-States, <=50K.\n71, Self-emp-not-inc,401203, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,34, United-States, >50K.\n56, Private,117400, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n61, ?,113658, 10th,6, Divorced, ?, Other-relative, White, Female,0,0,20, United-States, <=50K.\n40, Local-gov,166822, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,36, United-States, >50K.\n35, Private,151322, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,102684, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n54, Self-emp-not-inc,152652, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,193416, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,3, United-States, <=50K.\n35, Private,103323, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n37, Self-emp-not-inc,33975, Bachelors,13, Separated, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n20, ?,163665, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n59, Private,187485, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n50, Private,110327, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n28, Private,179498, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Local-gov,197915, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,103995, Doctorate,16, Widowed, Prof-specialty, Not-in-family, White, Female,10520,0,60, United-States, >50K.\n46, Private,123807, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,15, United-States, <=50K.\n23, Private,43535, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n57, Self-emp-not-inc,200316, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n60, Private,125832, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,72, Canada, <=50K.\n51, State-gov,71691, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K.\n50, Private,168212, Some-college,10, Married-spouse-absent, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n45, Federal-gov,98320, Some-college,10, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,914,0,40, United-States, <=50K.\n41, Private,173307, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,43, United-States, <=50K.\n56, Private,442116, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,54, United-States, >50K.\n18, Private,130849, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,17, United-States, <=50K.\n51, Private,159015, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n32, Private,147921, Prof-school,15, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n48, Private,268022, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,55, United-States, >50K.\n51, Private,253357, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,339954, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n32, State-gov,347623, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,3411,0,40, United-States, <=50K.\n53, Federal-gov,169112, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n37, Private,166213, HS-grad,9, Divorced, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K.\n62, Private,216765, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K.\n51, Private,335997, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K.\n18, ?,354236, 10th,6, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n70, Private,178120, HS-grad,9, Widowed, Priv-house-serv, Other-relative, Black, Female,0,0,8, United-States, <=50K.\n54, Private,312631, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,50, United-States, >50K.\n67, Local-gov,31924, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,2964,0,41, United-States, <=50K.\n34, Federal-gov,96483, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,0,60, United-States, >50K.\n26, Private,305304, 11th,7, Separated, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n52, Local-gov,111722, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,72, United-States, <=50K.\n24, Private,197554, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n51, Private,257126, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,101597, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K.\n23, Private,220115, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,210844, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2042,40, Columbia, <=50K.\n25, Self-emp-inc,66935, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K.\n81, Private,192813, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, Portugal, <=50K.\n35, Self-emp-not-inc,95639, 11th,7, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,4, United-States, <=50K.\n40, Self-emp-not-inc,223881, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n33, Private,223105, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K.\n33, Private,192644, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,90, United-States, >50K.\n45, Self-emp-not-inc,58683, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,5178,0,48, United-States, >50K.\n22, Private,162282, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,55, United-States, <=50K.\n38, State-gov,239539, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n46, Private,117849, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K.\n17, Private,99237, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n18, ?,149343, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,3, United-States, <=50K.\n42, Self-emp-not-inc,193882, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,107845, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n58, Private,268295, 5th-6th,3, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K.\n43, Private,71269, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n42, Self-emp-inc,204598, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,3464,0,80, United-States, <=50K.\n19, ?,98283, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,32, United-States, <=50K.\n45, Self-emp-inc,188694, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,201908, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K.\n38, Private,191137, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, United-States, <=50K.\n58, Self-emp-not-inc,129786, HS-grad,9, Separated, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n37, Private,302903, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,40, United-States, >50K.\n34, Private,143526, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,182117, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Private,172753, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,85, United-States, >50K.\n37, Private,139770, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n47, Private,215686, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,50, United-States, <=50K.\n31, Private,181388, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,45, United-States, >50K.\n57, Private,81973, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,15024,0,45, United-States, >50K.\n44, Private,328581, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n64, Private,110110, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n31, Private,174201, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n40, Private,137421, Masters,14, Married-spouse-absent, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,35, India, >50K.\n34, Private,153927, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n28, Federal-gov,187649, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n72, Private,149992, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K.\n21, Private,234640, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,47, United-States, <=50K.\n52, Local-gov,311569, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n44, Private,182383, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K.\n57, State-gov,344381, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7688,0,75, United-States, >50K.\n35, Self-emp-not-inc,280570, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n21, Private,215039, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Local-gov,339442, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n28, Local-gov,168065, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n59, Private,47534, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K.\n54, Local-gov,116428, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,121789, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n29, State-gov,143139, 10th,6, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n18, Private,187790, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n31, Private,140559, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n17, Private,184025, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K.\n47, Private,257824, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n42, Private,89226, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,7688,0,40, Greece, >50K.\n21, Private,145917, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n32, Private,207301, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n51, Private,135388, 12th,8, Widowed, Machine-op-inspct, Not-in-family, White, Male,0,1564,40, United-States, >50K.\n24, Private,266467, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n60, Private,200047, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Federal-gov,121040, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n24, Private,199694, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n43, Private,301007, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K.\n64, Self-emp-not-inc,253759, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K.\n53, Private,120839, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n64, State-gov,33342, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,205195, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,362873, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n25, Private,104614, HS-grad,9, Never-married, Protective-serv, Unmarried, White, Female,0,0,25, United-States, <=50K.\n27, Self-emp-not-inc,32280, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K.\n30, Private,191777, 12th,8, Never-married, Other-service, Own-child, Black, Female,0,0,20, ?, <=50K.\n39, Private,144169, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,264076, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,119164, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n41, Private,126845, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,228395, Bachelors,13, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K.\n32, Private,242654, Some-college,10, Divorced, Sales, Unmarried, Black, Female,0,1138,40, Honduras, <=50K.\n69, Self-emp-not-inc,30951, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K.\n36, Private,48855, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K.\n57, Self-emp-not-inc,50791, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K.\n58, Local-gov,248739, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,165418, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,79464, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K.\n36, Local-gov,321247, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,104269, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K.\n39, Self-emp-inc,129573, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n41, Private,222142, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3464,0,40, United-States, <=50K.\n24, Private,126613, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n54, Private,145548, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,331861, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n39, Private,156261, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n27, Private,173944, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,69739, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Portugal, <=50K.\n32, Private,266345, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,278006, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Self-emp-inc,82578, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n66, Private,154164, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,7, ?, <=50K.\n25, Private,250038, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,175468, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,16, United-States, <=50K.\n23, State-gov,435835, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,7, United-States, <=50K.\n70, Private,135601, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,35, United-States, >50K.\n20, State-gov,162945, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n18, Private,244115, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,16, United-States, <=50K.\n29, Private,351902, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,34, United-States, <=50K.\n33, Private,291414, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,278736, 12th,8, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n44, Private,138975, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n32, Private,165295, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Female,0,0,40, Mexico, <=50K.\n49, Self-emp-inc,93557, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n66, Self-emp-not-inc,176315, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,401,0,20, United-States, <=50K.\n35, Private,187167, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n24, Private,241582, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,33, United-States, <=50K.\n31, Private,247328, 11th,7, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n75, Self-emp-not-inc,157778, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,15831,0,50, United-States, >50K.\n66, Self-emp-not-inc,67765, 11th,7, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,84, United-States, >50K.\n19, ?,229431, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, Private,192203, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,93326, Some-college,10, Separated, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n46, Private,118889, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, >50K.\n29, State-gov,237028, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n63, Private,156127, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n46, Private,151325, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,311350, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n44, Self-emp-not-inc,273465, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K.\n66, Private,172646, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,1173,0,12, United-States, <=50K.\n51, Private,379797, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n38, Private,131827, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K.\n26, State-gov,158734, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,233533, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, <=50K.\n48, Private,246367, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n42, Local-gov,142049, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,32, United-States, <=50K.\n50, Private,101119, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,104830, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,594,0,35, United-States, <=50K.\n42, Private,173981, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Italy, >50K.\n63, Private,195338, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K.\n18, Private,64253, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K.\n56, Private,182062, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K.\n33, Private,111696, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K.\n41, ?,168071, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,314369, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Male,0,0,45, United-States, <=50K.\n37, Private,178877, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K.\n42, Private,111483, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, >50K.\n18, ?,192321, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n62, Private,171757, 7th-8th,4, Widowed, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n29, Federal-gov,157313, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Private,38772, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Federal-gov,72338, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n67, Self-emp-not-inc,132626, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n50, Private,176240, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n40, Private,202692, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K.\n18, Private,70021, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K.\n55, Private,181242, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n48, Private,196707, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n80, Local-gov,81534, 1st-4th,2, Widowed, Farming-fishing, Not-in-family, Asian-Pac-Islander, Male,1086,0,20, Philippines, <=50K.\n25, Private,137658, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n24, Private,253190, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n46, Private,233059, 9th,5, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, State-gov,177787, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K.\n35, Self-emp-not-inc,193026, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n62, Self-emp-not-inc,271464, Masters,14, Separated, Farming-fishing, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n40, Private,199689, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Federal-gov,190653, Assoc-voc,11, Married-civ-spouse, Armed-Forces, Husband, White, Male,0,0,40, ?, >50K.\n40, Private,359389, Bachelors,13, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n49, Self-emp-not-inc,181717, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,7, United-States, >50K.\n52, Private,245127, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Outlying-US(Guam-USVI-etc), <=50K.\n21, Private,274398, Assoc-voc,11, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,344624, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n35, Private,169037, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,48, United-States, <=50K.\n22, Private,221406, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n71, Private,211707, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,4, United-States, <=50K.\n73, ?,185939, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,227026, Bachelors,13, Never-married, Craft-repair, Unmarried, White, Female,0,0,40, Nicaragua, <=50K.\n38, Private,187847, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n19, Private,238144, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n29, Private,243660, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n26, Private,102476, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n56, Local-gov,238405, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,187479, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n40, Private,168294, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n52, ?,129893, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,1579,30, United-States, <=50K.\n55, Private,172642, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,208066, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n39, Private,247558, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,41, United-States, <=50K.\n36, Private,99233, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K.\n46, Private,430278, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, State-gov,204374, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,38, Poland, <=50K.\n30, Private,136832, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n54, Federal-gov,151135, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n17, Private,95875, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K.\n39, Private,360494, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, ?,187581, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n53, Private,98659, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K.\n45, Private,252242, Doctorate,16, Divorced, Sales, Not-in-family, White, Male,99999,0,55, United-States, >50K.\n24, Private,411238, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,199083, Masters,14, Divorced, Transport-moving, Not-in-family, White, Male,0,2258,50, United-States, >50K.\n38, Private,222573, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Private,245317, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,216414, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,50, United-States, >50K.\n32, Private,236396, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,311826, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,18, United-States, <=50K.\n38, Private,172538, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n38, Private,43712, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, <=50K.\n33, Private,272669, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Male,0,0,30, Hong, <=50K.\n50, Private,137299, Assoc-acdm,12, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n40, Private,171305, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,60, United-States, >50K.\n33, Local-gov,190027, HS-grad,9, Divorced, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n20, Private,376416, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n17, Local-gov,236831, 12th,8, Never-married, Adm-clerical, Own-child, Black, Female,0,0,15, United-States, <=50K.\n27, Private,170148, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,28, United-States, <=50K.\n66, Private,366425, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,95864, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, England, >50K.\n71, Private,37435, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,3, United-States, <=50K.\n39, Self-emp-not-inc,151835, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,149419, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n20, ?,224238, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,6, United-States, <=50K.\n56, Private,359972, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, England, >50K.\n60, Private,23063, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Private,198282, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n46, Self-emp-inc,211020, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, Germany, >50K.\n42, Private,104196, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n56, Private,133819, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Private,328734, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,2238,40, United-States, <=50K.\n34, Self-emp-not-inc,41210, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n38, Private,225399, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n32, ?,13862, HS-grad,9, Never-married, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,38, United-States, <=50K.\n32, Local-gov,43959, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,83827, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n24, Private,157332, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,163706, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,70, United-States, >50K.\n43, Private,211517, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,1669,45, United-States, <=50K.\n69, ?,92852, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,5, United-States, <=50K.\n39, Self-emp-not-inc,192626, HS-grad,9, Separated, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n55, Private,115439, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,98769, Assoc-voc,11, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, >50K.\n29, Private,66473, Some-college,10, Never-married, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K.\n41, Self-emp-not-inc,138077, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,10, United-States, >50K.\n30, Local-gov,339388, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,72, United-States, >50K.\n28, Private,195520, Assoc-voc,11, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, Ireland, <=50K.\n68, Private,204680, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,37, United-States, <=50K.\n55, Private,184948, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,356231, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,2129,65, United-States, <=50K.\n55, Private,204334, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,55, England, >50K.\n60, Self-emp-inc,96660, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,8, United-States, >50K.\n44, Private,184871, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,298950, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,238802, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n58, ?,242670, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K.\n47, Private,183186, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n18, Private,34125, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K.\n23, Private,158996, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K.\n35, Local-gov,203883, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n61, Self-emp-inc,248160, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n54, Private,548361, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,98, United-States, <=50K.\n21, Private,203914, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,19, United-States, <=50K.\n53, State-gov,91121, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,139397, 10th,6, Separated, Exec-managerial, Unmarried, White, Female,0,0,15, Ecuador, <=50K.\n56, Private,208640, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,183013, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n36, Private,161141, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Private,343333, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,80, United-States, >50K.\n35, State-gov,210866, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,359854, Bachelors,13, Never-married, Priv-house-serv, Other-relative, White, Female,0,0,35, Mexico, <=50K.\n49, Self-emp-inc,235646, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,47, United-States, <=50K.\n60, Self-emp-not-inc,157588, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,99, United-States, <=50K.\n55, Private,200734, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, ?, <=50K.\n21, Private,212213, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n38, Private,248941, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n41, Local-gov,291831, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K.\n43, State-gov,114191, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n54, Self-emp-inc,151580, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,331498, Doctorate,16, Never-married, Other-service, Own-child, White, Male,0,0,40, ?, <=50K.\n20, Private,139989, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K.\n35, Private,187167, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n24, Private,299528, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,50, Taiwan, <=50K.\n41, Private,226608, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n36, Private,306361, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,213416, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,10, Mexico, <=50K.\n23, Private,85139, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,48779, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n71, Self-emp-inc,146365, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n36, Private,355856, 5th-6th,3, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, China, <=50K.\n51, Private,39264, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n30, Private,117028, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n40, Private,266631, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Haiti, <=50K.\n26, Private,152263, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K.\n49, Private,387074, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,245211, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2002,43, United-States, <=50K.\n48, Private,136455, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n53, State-gov,153486, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,105479, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n40, Private,409902, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K.\n21, ?,133515, Assoc-acdm,12, Never-married, ?, Own-child, White, Female,594,0,40, United-States, <=50K.\n38, Private,89202, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, ?,185692, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,84, United-States, <=50K.\n34, Private,157024, 10th,6, Never-married, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n53, Private,230936, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,57298, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n26, Private,82488, Masters,14, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K.\n29, Private,606111, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Private,235182, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,150336, Some-college,10, Divorced, Tech-support, Other-relative, White, Female,0,0,40, United-States, <=50K.\n43, Federal-gov,145175, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,42, United-States, >50K.\n39, Private,186719, Some-college,10, Separated, Craft-repair, Unmarried, White, Female,0,0,25, United-States, <=50K.\n38, Local-gov,325538, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n67, Private,192995, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n31, Private,103596, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K.\n30, Private,207172, 11th,7, Never-married, Protective-serv, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n53, Self-emp-not-inc,237729, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,3411,0,65, United-States, <=50K.\n44, Private,121718, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,48, United-States, >50K.\n43, Private,196344, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K.\n22, Private,100235, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,161153, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n44, Private,303619, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n88, Self-emp-not-inc,141646, 7th-8th,4, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,5, United-States, <=50K.\n21, Private,293726, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n31, Private,190772, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,1590,35, ?, <=50K.\n35, Local-gov,91124, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,318912, Bachelors,13, Never-married, Other-service, Own-child, Black, Male,0,0,55, United-States, <=50K.\n48, Private,355978, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n68, ?,81468, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,16, United-States, <=50K.\n64, Private,183672, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n49, Private,140826, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,99999,0,50, ?, >50K.\n44, Private,146659, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n18, Private,294720, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K.\n34, Private,284629, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Local-gov,128091, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K.\n23, Private,153643, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n36, Self-emp-inc,173968, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n29, ?,168479, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,303177, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, Mexico, <=50K.\n27, Self-emp-not-inc,189030, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n57, Local-gov,261584, Some-college,10, Separated, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n24, Private,131230, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n54, Private,138852, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, <=50K.\n18, Private,137532, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n25, Private,67222, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n28, Private,278736, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n87, Private,143574, HS-grad,9, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,16, United-States, <=50K.\n54, Private,283725, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,131404, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K.\n43, Private,185015, 5th-6th,3, Married-spouse-absent, Priv-house-serv, Other-relative, White, Female,0,0,40, El-Salvador, <=50K.\n43, Federal-gov,47902, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,3908,0,40, United-States, <=50K.\n38, Private,272017, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,224559, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,35, United-States, <=50K.\n65, Private,138247, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,22, United-States, <=50K.\n39, Private,365465, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n60, Self-emp-not-inc,69887, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,203488, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n39, Private,57691, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7298,0,40, United-States, >50K.\n35, Private,193815, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,48, United-States, >50K.\n31, Self-emp-not-inc,37284, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,317434, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,198613, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,126060, Prof-school,15, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K.\n31, Private,187560, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n77, ?,331863, Some-college,10, Separated, ?, Not-in-family, White, Male,0,0,2, United-States, <=50K.\n40, State-gov,52498, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n58, Federal-gov,256466, Masters,14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,7688,0,40, China, >50K.\n37, Local-gov,215618, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,80, United-States, >50K.\n39, Private,150057, 10th,6, Separated, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n30, Private,213714, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Private,173095, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,4, United-States, <=50K.\n36, ?,143774, HS-grad,9, Divorced, ?, Other-relative, White, Female,0,0,40, United-States, <=50K.\n30, Private,277488, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n39, Private,240468, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n43, Private,197609, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n25, Private,72294, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, Private,219155, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n38, Private,130277, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,1726,40, United-States, <=50K.\n67, Private,100718, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K.\n57, Private,151474, HS-grad,9, Divorced, Handlers-cleaners, Other-relative, White, Female,0,0,40, United-States, <=50K.\n21, Private,209955, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K.\n35, Private,23892, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n40, Private,206927, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K.\n35, Private,60135, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n74, ?,95630, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n19, Private,229516, 7th-8th,4, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,127740, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, <=50K.\n39, State-gov,252662, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,2824,50, United-States, >50K.\n17, ?,171080, 12th,8, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, ?,118358, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,50, ?, <=50K.\n32, Private,160594, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1564,50, United-States, >50K.\n32, Local-gov,393376, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n51, Federal-gov,321494, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, ?,289517, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n38, Private,331395, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,38, United-States, <=50K.\n19, ?,199609, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n52, Private,178596, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n21, Private,198996, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K.\n33, Private,222654, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n18, Private,293510, 12th,8, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,20, United-States, <=50K.\n32, Self-emp-not-inc,176185, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, Japan, >50K.\n28, Private,370509, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K.\n45, Private,167381, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,32, United-States, <=50K.\n21, Private,300445, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n24, Private,339602, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Private,329222, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,1740,40, Laos, <=50K.\n54, Self-emp-not-inc,183668, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K.\n28, Private,30014, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, ?,120820, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n23, Private,33021, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n33, State-gov,295662, Bachelors,13, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n45, Private,183168, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,148738, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, >50K.\n35, Private,214738, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K.\n20, Private,196758, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n35, Federal-gov,105527, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Private,221495, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,211938, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Private,209320, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,32, United-States, <=50K.\n33, Private,298785, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n37, Private,459192, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,44, United-States, <=50K.\n37, Private,342642, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n25, Self-emp-not-inc,46015, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n17, Private,219199, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,15, United-States, <=50K.\n49, Self-emp-not-inc,285858, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n66, Private,592029, HS-grad,9, Widowed, Sales, Not-in-family, Black, Female,0,0,24, United-States, <=50K.\n24, Private,132247, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,24, United-States, <=50K.\n50, Private,330543, Preschool,1, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K.\n56, Private,176613, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n68, Private,174895, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n65, Private,200408, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n67, Private,219687, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,18, United-States, <=50K.\n17, Private,174466, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K.\n27, Private,339921, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,38, Mexico, <=50K.\n47, Local-gov,330080, 11th,7, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n40, Private,151504, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n39, State-gov,275300, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n36, Private,178322, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n49, State-gov,209482, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n59, Private,157831, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n46, Private,224314, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Female,0,0,20, United-States, <=50K.\n71, ?,144461, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,3456,0,16, United-States, <=50K.\n42, Self-emp-not-inc,114580, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,70, United-States, <=50K.\n46, Self-emp-inc,321764, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,197907, HS-grad,9, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n20, State-gov,199884, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K.\n30, Private,332975, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K.\n29, Private,37599, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,36, United-States, <=50K.\n28, Private,52199, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n61, Self-emp-not-inc,45795, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,36, United-States, <=50K.\n30, Private,154120, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K.\n27, Private,217530, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, El-Salvador, <=50K.\n58, Self-emp-not-inc,426263, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,32, United-States, <=50K.\n37, Private,406664, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Mexico, <=50K.\n24, Private,269799, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, Private,127738, 9th,5, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,330724, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,16, ?, <=50K.\n47, Private,138999, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,48, United-States, >50K.\n33, Private,152744, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n26, Private,155459, Bachelors,13, Never-married, Protective-serv, Other-relative, White, Male,0,0,45, United-States, <=50K.\n43, Private,222596, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n29, Private,209173, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,513977, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, <=50K.\n45, Private,186410, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,230684, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,136986, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, State-gov,647591, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n25, Private,264300, Assoc-voc,11, Never-married, Prof-specialty, Own-child, White, Female,0,0,36, United-States, <=50K.\n59, Private,95967, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, ?, <=50K.\n33, Private,187802, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1887,40, United-States, >50K.\n45, Self-emp-inc,270079, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n58, Private,141379, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K.\n18, Private,176653, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,26, United-States, <=50K.\n35, Private,176900, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n55, Private,200217, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,188331, 11th,7, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n36, Private,158363, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,247422, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n45, Private,247120, HS-grad,9, Married-civ-spouse, Transport-moving, Other-relative, White, Female,0,0,50, ?, <=50K.\n20, Local-gov,37932, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Self-emp-not-inc,32280, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,197286, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K.\n55, Private,228595, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,81534, 11th,7, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,35, United-States, <=50K.\n17, Private,165457, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K.\n28, Private,209109, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K.\n31, Private,141817, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K.\n66, ?,249043, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n61, Self-emp-not-inc,185640, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, >50K.\n19, Private,400195, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n28, Private,267912, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Private,370032, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n34, Private,191957, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K.\n53, Private,361405, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n54, Private,103580, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Private,116632, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K.\n34, Private,185480, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n41, Private,94113, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,60, United-States, >50K.\n26, Self-emp-not-inc,75654, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Greece, <=50K.\n38, Private,104727, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,302406, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n63, Private,116993, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,274528, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Federal-gov,218382, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, >50K.\n35, Federal-gov,170425, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n49, Self-emp-inc,148437, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n43, Private,24264, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n50, State-gov,78923, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, >50K.\n49, Self-emp-inc,106169, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n43, Local-gov,211860, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n49, Private,250821, Prof-school,15, Never-married, Farming-fishing, Other-relative, White, Male,0,0,48, United-States, <=50K.\n29, Private,202558, Assoc-voc,11, Married-civ-spouse, Tech-support, Other-relative, White, Female,0,0,40, United-States, <=50K.\n30, Private,96480, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,32, United-States, <=50K.\n32, Private,215912, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K.\n51, Self-emp-inc,182211, Some-college,10, Divorced, Sales, Own-child, White, Female,0,0,70, United-States, <=50K.\n33, Federal-gov,206392, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,150057, Bachelors,13, Divorced, Sales, Own-child, White, Male,0,0,50, United-States, <=50K.\n38, Self-emp-inc,105044, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Private,168195, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,42, United-States, <=50K.\n18, Federal-gov,54377, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K.\n69, Self-emp-not-inc,118174, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,20051,0,15, United-States, >50K.\n54, Private,229375, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Federal-gov,109414, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,1977,40, Philippines, >50K.\n40, Private,158275, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,625,40, United-States, <=50K.\n40, Private,32185, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,44, United-States, <=50K.\n20, Private,228452, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n36, Private,170174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,56, United-States, >50K.\n39, Private,162370, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,260253, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Private,252392, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,99897, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n22, ?,52596, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,15, ?, >50K.\n38, Private,48093, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,275244, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,35, United-States, <=50K.\n41, Private,173316, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,162164, Some-college,10, Never-married, Priv-house-serv, Own-child, White, Female,0,0,45, United-States, <=50K.\n62, Private,166425, 11th,7, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n31, Private,203463, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,99999,0,40, United-States, >50K.\n35, Private,77792, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n58, Self-emp-inc,120384, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,257470, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K.\n38, Private,171482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,50, United-States, <=50K.\n29, Private,162298, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n21, Private,170273, Some-college,10, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K.\n27, Private,384774, 7th-8th,4, Divorced, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n48, State-gov,120131, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,159442, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,37, Ireland, >50K.\n33, Private,303942, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,33436, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,42, United-States, <=50K.\n45, Private,193407, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Female,0,0,44, United-States, <=50K.\n22, Private,51985, Some-college,10, Never-married, Other-service, Own-child, White, Male,1055,0,15, United-States, <=50K.\n31, Local-gov,127651, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,152246, Some-college,10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,40, Outlying-US(Guam-USVI-etc), <=50K.\n59, Private,124137, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,2202,0,40, United-States, <=50K.\n18, ?,209735, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n18, Private,241552, 11th,7, Never-married, Other-service, Own-child, White, Female,0,1719,20, United-States, <=50K.\n42, Private,174295, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,99, United-States, <=50K.\n42, Self-emp-not-inc,165815, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,52, United-States, >50K.\n26, Local-gov,566066, Bachelors,13, Never-married, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n18, ?,269373, 12th,8, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n20, Private,143604, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n18, Local-gov,294605, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,12, United-States, <=50K.\n44, Private,122381, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n76, Local-gov,104443, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,1668,40, United-States, <=50K.\n34, Private,208116, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,25, United-States, <=50K.\n60, Self-emp-inc,328011, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K.\n19, Private,375079, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n35, Private,210945, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,38, United-States, >50K.\n26, Private,169100, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,30126, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K.\n29, Private,165737, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,1, Japan, <=50K.\n24, Private,200295, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n39, Private,553588, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,40, United-States, >50K.\n58, Local-gov,164970, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n40, Private,199031, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n29, Private,187750, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n44, Self-emp-not-inc,89413, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n27, Private,188171, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n52, Self-emp-inc,392502, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n40, Federal-gov,73883, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Self-emp-inc,76860, 5th-6th,3, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,99999,0,40, China, >50K.\n19, Private,376683, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K.\n23, Private,189013, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,37, United-States, <=50K.\n32, Private,190385, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K.\n34, Private,154874, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Private,175032, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,42, United-States, <=50K.\n68, Self-emp-not-inc,338432, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n64, Private,30725, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Local-gov,319280, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n64, Private,280957, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K.\n42, Private,256813, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K.\n60, Private,276213, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,161496, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n33, Private,399531, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n74, Self-emp-not-inc,168951, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,14, United-States, <=50K.\n38, Self-emp-not-inc,108140, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n43, Private,358677, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n36, Local-gov,127424, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,50, ?, >50K.\n45, Self-emp-not-inc,163559, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,48, ?, <=50K.\n45, Self-emp-not-inc,390746, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,187981, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,187715, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,46, United-States, >50K.\n25, Private,192449, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n42, State-gov,381581, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, State-gov,211049, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K.\n43, Private,214242, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Poland, <=50K.\n35, Private,190759, 11th,7, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,209301, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n56, Self-emp-not-inc,118614, Masters,14, Separated, Sales, Unmarried, White, Female,0,0,36, United-States, <=50K.\n22, Private,124971, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n29, Private,198704, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Local-gov,32587, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,50, United-States, >50K.\n51, Local-gov,227261, Some-college,10, Divorced, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n35, Private,250988, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n42, State-gov,147206, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,25265, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K.\n54, Local-gov,188446, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,206017, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K.\n36, Local-gov,287821, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n62, Federal-gov,223163, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n52, Private,38973, 10th,6, Widowed, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n45, Private,370274, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n64, Private,271559, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,30, Columbia, <=50K.\n66, Private,171331, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K.\n53, Private,201127, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,64874, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n37, Private,202683, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n17, Self-emp-not-inc,103851, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,4, United-States, <=50K.\n34, Private,196266, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n28, Private,303601, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,43150, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, ?,193889, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, ?, <=50K.\n28, Private,177036, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n32, Self-emp-not-inc,135304, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3942,0,32, United-States, <=50K.\n17, Private,25982, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K.\n51, State-gov,103063, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,40, United-States, >50K.\n41, Private,328239, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n58, Private,142724, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K.\n31, Private,198452, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,18, United-States, <=50K.\n28, Private,285897, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,34568, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K.\n44, Self-emp-not-inc,136986, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K.\n31, Self-emp-not-inc,404062, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, Portugal, >50K.\n39, Private,80479, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n30, Private,433325, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n56, Self-emp-not-inc,368797, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,157473, Masters,14, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, United-States, >50K.\n24, Private,193130, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n33, Private,91667, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K.\n36, Private,153078, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,15024,0,40, Hong, >50K.\n31, Private,179673, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,236648, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1848,42, United-States, >50K.\n41, Private,77357, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n19, Private,267796, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K.\n57, Private,335276, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n35, Private,189102, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n34, Self-emp-not-inc,203051, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K.\n38, Private,167440, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,186087, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n25, Private,334267, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,45, United-States, <=50K.\n49, Private,172246, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Local-gov,117963, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n22, ?,374116, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n60, Private,304074, Some-college,10, Widowed, Transport-moving, Not-in-family, White, Male,0,0,28, United-States, <=50K.\n35, Private,212195, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,35, United-States, >50K.\n42, Self-emp-not-inc,52781, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n61, Local-gov,176671, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, <=50K.\n24, Private,175778, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Private,340126, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K.\n64, Private,237581, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, Mexico, >50K.\n47, Local-gov,246891, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,0,0,45, United-States, >50K.\n23, Private,181659, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K.\n34, Private,209900, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K.\n47, Private,151826, 10th,6, Divorced, Tech-support, Unmarried, Black, Female,0,0,38, United-States, <=50K.\n43, Self-emp-inc,210013, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n47, Self-emp-inc,120131, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n57, Private,366421, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, <=50K.\n19, Private,137578, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K.\n36, Private,89625, 10th,6, Separated, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n72, Self-emp-not-inc,298945, Bachelors,13, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, >50K.\n34, Local-gov,108247, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n31, Private,103642, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n25, ?,181528, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, <=50K.\n23, Private,131699, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,14, United-States, <=50K.\n18, Private,154089, 11th,7, Never-married, Sales, Unmarried, White, Male,0,0,20, United-States, <=50K.\n41, Private,247081, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n45, Private,276839, Some-college,10, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,166115, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n27, Private,192936, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n50, Private,247425, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,198196, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n20, Private,260254, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n60, Private,176360, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n21, ?,214731, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n23, Private,107564, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n32, Private,29312, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Private,190610, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n40, Private,296858, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,40, United-States, >50K.\n42, Private,294431, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n34, Private,259818, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n37, Local-gov,161111, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,10, United-States, <=50K.\n42, ?,85995, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,52, United-States, <=50K.\n18, Private,108501, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,25, United-States, <=50K.\n27, Private,135296, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Federal-gov,491607, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,32, United-States, <=50K.\n61, Self-emp-not-inc,170278, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, Philippines, <=50K.\n41, Private,309932, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Local-gov,117310, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,21, United-States, >50K.\n46, Private,234289, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n45, Federal-gov,199925, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, White, Male,0,0,48, United-States, <=50K.\n70, Local-gov,31540, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n46, Private,202606, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,30, Haiti, <=50K.\n20, Private,239577, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, Private,110013, Masters,14, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Local-gov,230054, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,203558, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n51, Self-emp-not-inc,222883, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,55, United-States, <=50K.\n39, Private,61518, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n45, Private,246891, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n51, Private,194995, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n52, Private,207025, HS-grad,9, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,24, United-States, <=50K.\n39, Self-emp-inc,128715, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n30, Private,180168, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n44, Self-emp-not-inc,270495, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,50, United-States, <=50K.\n44, Private,191196, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n28, State-gov,624572, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n43, Private,488706, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, Mexico, <=50K.\n43, Self-emp-not-inc,52131, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K.\n38, Private,134635, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n41, Private,197033, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K.\n36, Private,112576, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,134737, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K.\n45, Private,154237, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n30, Private,103200, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Taiwan, <=50K.\n25, Private,179599, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n57, ?,274900, 7th-8th,4, Married-civ-spouse, ?, Other-relative, White, Male,0,0,45, Dominican-Republic, <=50K.\n21, Private,138580, 12th,8, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n43, Local-gov,187034, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,263568, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,594,0,35, United-States, <=50K.\n21, Private,142332, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,25, United-States, <=50K.\n40, Private,174090, Assoc-voc,11, Never-married, Sales, Unmarried, White, Female,4687,0,50, United-States, >50K.\n38, Federal-gov,103323, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,55, United-States, >50K.\n24, Private,108670, Assoc-voc,11, Never-married, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K.\n18, ?,326640, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n54, Private,99185, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,365328, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n19, Federal-gov,53220, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,1602,20, United-States, <=50K.\n22, Private,369084, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n48, Federal-gov,55377, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,55, Jamaica, >50K.\n64, Private,271094, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n27, Private,165014, Some-college,10, Married-civ-spouse, Sales, Own-child, Other, Female,0,0,11, Mexico, <=50K.\n40, Local-gov,284086, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n47, Federal-gov,186256, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K.\n19, Private,84250, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,22, United-States, <=50K.\n39, Private,189404, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n34, Private,152667, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n36, Private,239755, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n44, Private,271756, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K.\n23, Private,332657, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n36, Private,141029, HS-grad,9, Separated, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K.\n27, Private,41281, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n41, Federal-gov,27444, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,267945, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n30, Private,177675, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K.\n20, Private,135716, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,44, United-States, <=50K.\n40, Private,91355, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,53292, Assoc-acdm,12, Widowed, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K.\n51, Private,256466, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,50, Philippines, <=50K.\n40, Private,126701, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,13550,0,50, United-States, >50K.\n25, Private,64671, 1st-4th,2, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n50, Without-pay,123004, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,0,1887,40, United-States, >50K.\n26, Private,167350, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n62, State-gov,160062, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K.\n34, Private,35683, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,146565, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n37, Self-emp-not-inc,168166, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,117779, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,2977,0,65, United-States, <=50K.\n58, Local-gov,310085, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,262413, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, Italy, <=50K.\n56, Private,152874, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,1741,40, United-States, <=50K.\n29, Private,35314, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K.\n37, Private,32719, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K.\n37, Private,224566, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,190290, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,1602,40, United-States, <=50K.\n26, Private,331806, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,37, United-States, <=50K.\n45, Self-emp-inc,328610, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n20, Private,221533, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,350169, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,38, Japan, <=50K.\n29, Private,125131, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K.\n71, ?,158437, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Hungary, <=50K.\n37, Private,180714, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,48, United-States, <=50K.\n40, Private,284086, 9th,5, Divorced, Transport-moving, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n33, Private,119422, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n22, ?,327060, HS-grad,9, Never-married, ?, Unmarried, Black, Male,0,0,8, United-States, <=50K.\n32, Private,171813, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n39, Local-gov,20308, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n17, ?,45037, 10th,6, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K.\n53, Private,139157, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,228931, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K.\n60, Private,220729, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n43, Self-emp-not-inc,147230, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n29, Private,79586, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,65, United-States, <=50K.\n40, Self-emp-inc,279914, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,40, United-States, >50K.\n62, Private,142769, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,226525, 10th,6, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n18, Private,178759, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n49, Private,106705, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,36, United-States, <=50K.\n57, Private,194161, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,42, Italy, >50K.\n37, Private,225385, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n66, Self-emp-not-inc,331960, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K.\n50, Private,156877, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K.\n24, Private,271354, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,33117, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n38, Private,212437, Assoc-acdm,12, Never-married, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n37, Private,121228, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,1726,50, United-States, <=50K.\n62, Self-emp-not-inc,142139, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K.\n54, Private,165001, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K.\n56, Local-gov,294623, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Local-gov,244413, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,35, Dominican-Republic, <=50K.\n29, Private,146014, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n53, Self-emp-not-inc,197014, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n56, Self-emp-not-inc,169528, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n60, ?,162397, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K.\n38, Self-emp-not-inc,154641, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n52, Private,251585, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n28, Private,46322, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,38, United-States, <=50K.\n46, Local-gov,197042, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K.\n43, Private,111829, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Local-gov,229005, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n64, Private,298546, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n43, Federal-gov,111483, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K.\n64, Private,104973, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n40, Private,383300, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,135162, 1st-4th,2, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,40, ?, <=50K.\n36, Private,87520, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K.\n19, Private,183258, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,206546, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K.\n55, Private,199212, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,5178,0,40, United-States, >50K.\n41, Local-gov,207685, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,61, United-States, >50K.\n36, Private,213277, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,129980, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n28, Private,118089, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,45, United-States, >50K.\n34, Self-emp-not-inc,236391, 11th,7, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K.\n49, Private,209057, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n47, Private,98044, Preschool,1, Never-married, Other-service, Not-in-family, White, Male,0,0,25, El-Salvador, <=50K.\n21, Private,154192, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,48268, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,158762, 10th,6, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K.\n22, Private,87569, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,1762,40, United-States, <=50K.\n33, ?,274800, HS-grad,9, Separated, ?, Own-child, Black, Female,0,0,40, United-States, <=50K.\n42, Local-gov,230684, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1579,40, United-States, <=50K.\n52, Private,155496, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n37, Private,22494, Some-college,10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,41, United-States, <=50K.\n42, Private,200610, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,60, United-States, <=50K.\n48, State-gov,54985, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,207807, 10th,6, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,30, United-States, <=50K.\n18, Private,294263, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,9, United-States, <=50K.\n23, Private,204226, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n90, Local-gov,188242, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,11678,0,40, United-States, >50K.\n47, Private,20956, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n40, Private,55567, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n23, State-gov,251325, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,8, ?, <=50K.\n33, Self-emp-not-inc,75417, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,8, United-States, <=50K.\n36, Local-gov,185556, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n38, Private,96732, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, Mexico, <=50K.\n31, Private,323985, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n52, Federal-gov,198186, 10th,6, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n21, Private,147884, Some-college,10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n35, Private,285000, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n54, Private,91882, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K.\n37, Private,196434, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,191968, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Private,222756, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,7430,0,40, United-States, >50K.\n34, Private,66384, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K.\n46, Private,165937, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n56, Private,243076, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,193026, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n39, State-gov,126894, Doctorate,16, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,30, United-States, <=50K.\n24, Private,214399, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,55, United-States, <=50K.\n70, ?,98979, Some-college,10, Married-civ-spouse, ?, Husband, Black, Male,0,0,20, United-States, >50K.\n29, Private,191177, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,18, United-States, <=50K.\n27, Private,420351, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n53, Private,159849, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n36, Private,128392, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,4787,0,40, United-States, >50K.\n27, Private,130492, 11th,7, Divorced, Craft-repair, Unmarried, Other, Male,0,0,35, United-States, <=50K.\n48, Private,59380, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K.\n59, Local-gov,130532, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n29, Private,535740, HS-grad,9, Never-married, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n21, Private,186452, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n29, Private,276418, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,2051,32, United-States, <=50K.\n19, ?,383715, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n32, Private,418617, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,55, El-Salvador, <=50K.\n23, Private,607118, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,36, United-States, <=50K.\n42, Self-emp-inc,230592, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n68, Local-gov,212932, 10th,6, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,20, United-States, <=50K.\n51, Self-emp-not-inc,321865, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,99, United-States, <=50K.\n36, Private,240755, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K.\n25, Private,167571, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n70, Self-emp-not-inc,165586, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Self-emp-not-inc,132267, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, <=50K.\n53, Private,308082, Preschool,1, Never-married, Other-service, Not-in-family, White, Female,0,0,15, El-Salvador, <=50K.\n31, Self-emp-not-inc,402812, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,45, United-States, >50K.\n25, Local-gov,136357, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,117549, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K.\n41, Private,482677, 10th,6, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K.\n72, Self-emp-not-inc,112658, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,2653,0,42, United-States, <=50K.\n34, Private,120461, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,83444, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,55, United-States, >50K.\n34, Private,93699, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K.\n45, Private,174794, Some-college,10, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,29, United-States, <=50K.\n22, Private,157332, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n20, Private,420973, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n30, Private,176471, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K.\n31, Private,113708, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n21, State-gov,82497, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n32, Private,169512, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, >50K.\n44, Private,157765, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,277946, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n21, ?,195808, 11th,7, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K.\n50, Private,57852, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n46, Private,99699, Bachelors,13, Separated, Prof-specialty, Not-in-family, Black, Female,0,1876,40, United-States, <=50K.\n32, Private,296466, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n44, Self-emp-inc,248476, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n43, Private,409902, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,96, United-States, <=50K.\n19, ?,187161, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n36, Local-gov,220237, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1977,40, United-States, >50K.\n21, Private,303187, Some-college,10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n38, Private,285890, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,55, United-States, >50K.\n38, Self-emp-inc,63322, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n56, Self-emp-not-inc,159937, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,30, United-States, >50K.\n28, Private,208725, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,325159, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n56, Private,89698, HS-grad,9, Widowed, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n32, Private,399088, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n35, Private,134922, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,50, United-States, <=50K.\n22, Private,245866, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,406328, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,50, United-States, >50K.\n72, Self-emp-not-inc,203523, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, <=50K.\n30, Private,272432, HS-grad,9, Never-married, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n30, State-gov,182271, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Private,193746, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n49, Self-emp-not-inc,203505, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n41, Private,118484, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,391591, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n29, Private,30069, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,50, United-States, <=50K.\n38, Private,179731, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,52, United-States, <=50K.\n34, Private,128016, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,2202,0,40, United-States, <=50K.\n38, Private,139473, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n26, State-gov,130302, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,250630, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Local-gov,115222, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K.\n19, Private,198700, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,20, United-States, <=50K.\n23, Private,394191, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n78, Private,163140, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K.\n26, Private,243786, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n42, State-gov,248406, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K.\n20, ?,33860, Some-college,10, Never-married, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,28, United-States, <=50K.\n45, Private,138342, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,84, United-States, <=50K.\n41, Private,115254, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n55, Private,173504, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, >50K.\n17, Private,89259, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K.\n30, State-gov,152940, Masters,14, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K.\n27, Private,58124, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n40, Private,201908, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,156780, HS-grad,9, Married-spouse-absent, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K.\n26, Private,152924, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n31, Private,115963, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,375313, Some-college,10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,45, Philippines, <=50K.\n46, Local-gov,126754, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n35, State-gov,223725, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, <=50K.\n38, Private,298871, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K.\n25, Local-gov,306352, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,40, Mexico, >50K.\n45, Private,166879, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, ?,125040, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Self-emp-not-inc,198493, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n44, Private,86298, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n40, Private,249039, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,217200, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,145139, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n24, Local-gov,146343, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,102976, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n50, Local-gov,24013, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n54, Private,162745, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K.\n55, Private,128045, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Private,245937, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, <=50K.\n34, Private,426431, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n41, Private,409902, 10th,6, Separated, Other-service, Unmarried, Black, Female,0,0,33, United-States, <=50K.\n43, Private,580591, 1st-4th,2, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,28, Mexico, <=50K.\n76, Self-emp-not-inc,130585, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,12, United-States, <=50K.\n24, Private,201145, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n51, Private,196107, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n55, Private,178353, 9th,5, Divorced, Machine-op-inspct, Not-in-family, White, Male,10520,0,60, United-States, >50K.\n23, Private,195508, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K.\n23, Private,224716, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n18, ?,280901, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n43, Private,169076, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n39, Private,141584, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K.\n57, Self-emp-not-inc,253267, 5th-6th,3, Separated, Other-service, Unmarried, White, Female,0,0,35, Cuba, <=50K.\n27, Private,203776, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n54, Local-gov,449172, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n37, Private,174329, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n44, Private,91674, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n62, Private,202958, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,205680, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n29, Private,193932, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,177635, 12th,8, Married-spouse-absent, Transport-moving, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n65, ?,180422, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,6723,0,38, United-States, <=50K.\n18, Private,231335, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,141058, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K.\n20, Federal-gov,114365, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n23, Local-gov,212856, Assoc-acdm,12, Never-married, Protective-serv, Own-child, Black, Female,0,0,35, United-States, <=50K.\n23, Private,64292, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n58, Self-emp-not-inc,96609, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, ?,438427, Assoc-acdm,12, Separated, ?, Unmarried, Black, Female,0,0,55, United-States, <=50K.\n62, ?,144026, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n21, Private,105997, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K.\n47, Local-gov,154430, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n19, Private,162954, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n21, Private,94826, 5th-6th,3, Never-married, Craft-repair, Own-child, White, Male,0,0,40, Guatemala, <=50K.\n27, Private,54897, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,135020, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K.\n40, Self-emp-not-inc,367819, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K.\n22, Private,225531, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,2205,40, United-States, <=50K.\n49, Private,165937, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,131230, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,30, United-States, <=50K.\n38, Private,95647, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K.\n66, Private,115880, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,10605,0,40, United-States, >50K.\n37, Private,262278, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, Black, Male,15024,0,45, United-States, >50K.\n38, Private,126755, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n47, Local-gov,150211, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,188694, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K.\n53, Self-emp-inc,59840, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n36, Private,144752, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K.\n63, Private,192042, HS-grad,9, Married-civ-spouse, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K.\n46, Private,230806, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,364946, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n40, Private,133986, 10th,6, Separated, Transport-moving, Unmarried, White, Female,0,0,70, United-States, <=50K.\n21, ?,201418, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n31, Private,236543, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K.\n45, Private,238386, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n50, Local-gov,96062, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K.\n41, Private,202565, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,194063, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Self-emp-not-inc,243733, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,70, United-States, >50K.\n20, Private,403519, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,1719,33, United-States, <=50K.\n48, State-gov,104353, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, Black, Female,0,0,40, United-States, >50K.\n23, Private,239539, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n36, Private,104089, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Local-gov,93585, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n43, Private,139277, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Female,0,0,40, Italy, <=50K.\n22, Private,124971, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n50, Private,82566, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K.\n22, Private,145964, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K.\n32, Federal-gov,177855, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K.\n18, Private,263656, 11th,7, Never-married, Sales, Own-child, Black, Male,0,0,25, United-States, <=50K.\n40, Private,199191, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, England, >50K.\n39, Private,212840, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n56, Private,191330, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n50, Self-emp-inc,193720, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, Greece, >50K.\n39, Self-emp-inc,172927, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n33, Private,51185, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,186145, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,181307, Doctorate,16, Separated, Prof-specialty, Not-in-family, White, Male,0,1408,40, United-States, <=50K.\n20, Private,180052, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,22, United-States, <=50K.\n24, ?,61791, 9th,5, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,52505, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K.\n36, Private,48976, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K.\n37, Private,281012, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, Asian-Pac-Islander, Female,0,0,40, China, >50K.\n33, Private,156464, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n71, Local-gov,94358, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,6, United-States, <=50K.\n44, Federal-gov,296858, Masters,14, Married-civ-spouse, Armed-Forces, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,84790, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,177054, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n38, Local-gov,131239, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n30, Federal-gov,49398, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,27242, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Philippines, <=50K.\n41, Local-gov,113324, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,295591, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n61, Private,48549, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,38, United-States, >50K.\n45, Local-gov,384627, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,2580,0,18, United-States, <=50K.\n25, Private,266062, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n26, State-gov,208117, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,38, United-States, <=50K.\n23, Private,315476, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K.\n35, Private,20308, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n60, Private,169204, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,319831, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n32, Private,80356, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K.\n26, Private,313473, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n31, Private,209529, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Puerto-Rico, <=50K.\n24, Private,214956, 11th,7, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n31, Private,557853, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,32, United-States, <=50K.\n49, Private,78529, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n37, Private,446390, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K.\n43, Local-gov,256253, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n31, Private,61898, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n34, Private,181152, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,35, United-States, <=50K.\n34, Private,90409, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Self-emp-inc,237713, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n29, Private,176727, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n26, Private,285367, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Male,4416,0,28, United-States, <=50K.\n36, Private,135293, Masters,14, Separated, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n39, ?,105044, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,7298,0,40, United-States, >50K.\n48, State-gov,98010, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,16, United-States, >50K.\n56, Private,162301, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n65, Self-emp-inc,103824, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,115677, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K.\n48, Local-gov,319079, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K.\n64, Private,134912, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,12, United-States, <=50K.\n31, Private,35985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,245317, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,35743, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n54, Private,231004, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n51, Private,237295, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,43311, 5th-6th,3, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, El-Salvador, <=50K.\n18, Private,154583, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K.\n64, Private,278515, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n26, Private,266062, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n36, Self-emp-not-inc,172425, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, >50K.\n46, Self-emp-not-inc,102388, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n48, Private,195554, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K.\n32, Private,265368, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,44, United-States, >50K.\n19, Private,100669, Assoc-voc,11, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K.\n45, Private,233511, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n42, Self-emp-inc,223566, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,15, United-States, <=50K.\n22, Private,95552, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Private,159676, HS-grad,9, Divorced, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K.\n19, ?,80978, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K.\n48, Private,70584, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,153475, 11th,7, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,104489, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n54, Private,146325, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n39, Self-emp-not-inc,246900, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n35, Private,187589, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,65535, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n50, Private,38540, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,191389, 5th-6th,3, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Italy, <=50K.\n19, Private,231492, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,60, United-States, <=50K.\n32, Private,130007, 10th,6, Divorced, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n64, Self-emp-inc,487751, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Private,52240, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n65, Self-emp-not-inc,172906, Assoc-acdm,12, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n47, Private,158685, 12th,8, Divorced, Other-service, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n33, Private,307693, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,30, United-States, <=50K.\n40, Private,202922, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Local-gov,119563, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n30, Private,161444, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K.\n27, Private,82242, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Male,0,0,45, Germany, <=50K.\n68, Private,357233, HS-grad,9, Widowed, Handlers-cleaners, Other-relative, White, Female,0,0,10, United-States, <=50K.\n31, Private,177596, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Puerto-Rico, <=50K.\n27, Private,209085, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,45, United-States, <=50K.\n35, Private,241306, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n32, Private,19447, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n48, Private,195104, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n22, Private,109456, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,32, United-States, <=50K.\n68, Private,34887, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,6, United-States, <=50K.\n55, Private,202435, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n49, Private,191821, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K.\n49, Self-emp-not-inc,228372, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,60, United-States, >50K.\n37, Private,78374, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,38, Japan, <=50K.\n58, Private,129786, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,410439, HS-grad,9, Divorced, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K.\n35, Self-emp-inc,152307, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, <=50K.\n42, Private,33895, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Private,178390, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n63, Private,114011, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,157839, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n30, Federal-gov,97355, Some-college,10, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,369781, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,15024,0,45, United-States, >50K.\n22, Private,225515, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K.\n21, Private,138513, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,25, United-States, <=50K.\n72, Self-emp-not-inc,138248, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K.\n28, Self-emp-not-inc,149141, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n36, Federal-gov,233955, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n40, Federal-gov,150533, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1977,40, United-States, >50K.\n53, Private,233369, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n22, Private,188779, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,16, United-States, <=50K.\n53, Private,287927, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,60, England, <=50K.\n20, ?,96483, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,8, United-States, <=50K.\n39, Private,165215, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,15, Poland, <=50K.\n32, Private,107142, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,50, United-States, <=50K.\n48, Private,82008, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n25, Private,116044, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n58, Private,160101, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n41, Private,356934, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K.\n36, Private,204527, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,1506,0,40, United-States, <=50K.\n36, Private,276276, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,110408, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n37, Private,187022, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,117528, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n50, Private,180439, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,33, United-States, <=50K.\n47, Private,185870, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n21, Private,290504, Some-college,10, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n49, Private,162264, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n38, Private,253716, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, State-gov,190525, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n29, Private,283227, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,375221, 11th,7, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,35, United-States, <=50K.\n30, Private,194971, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,52, China, <=50K.\n30, Private,198091, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n30, Private,224462, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,198751, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K.\n27, Private,221166, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n54, Local-gov,277777, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,3103,0,40, United-States, >50K.\n32, Local-gov,247156, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,3103,0,38, United-States, >50K.\n23, Private,61777, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,2580,0,40, United-States, <=50K.\n62, Private,67928, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K.\n20, Private,204596, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,32, United-States, <=50K.\n23, Private,27881, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,66, United-States, <=50K.\n48, Private,332884, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n60, Private,178551, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,26, United-States, <=50K.\n22, Private,215917, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n56, Private,284701, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n63, Private,286990, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n73, Private,366204, 7th-8th,4, Widowed, Priv-house-serv, Unmarried, Black, Female,1264,0,10, United-States, <=50K.\n22, Private,163519, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n51, Private,123780, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n39, Private,108140, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Federal-gov,469263, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Male,0,0,50, United-States, <=50K.\n52, Private,216558, Some-college,10, Separated, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n46, Private,149218, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n32, Private,113453, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,24, United-States, >50K.\n46, Private,23545, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,409443, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, Mexico, <=50K.\n29, Local-gov,152744, Masters,14, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,1506,0,40, United-States, <=50K.\n33, Private,166543, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n23, Private,224217, 11th,7, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n41, State-gov,244522, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Male,0,0,55, United-States, <=50K.\n50, Private,148121, Some-college,10, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n69, Private,295425, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,24, United-States, <=50K.\n30, Self-emp-not-inc,255424, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K.\n21, Private,97214, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n29, Local-gov,158703, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n43, ?,478972, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K.\n44, Private,180383, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K.\n33, Private,159123, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,231230, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n25, Private,134232, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n23, Private,90729, 11th,7, Never-married, Machine-op-inspct, Unmarried, Other, Male,0,0,40, United-States, <=50K.\n36, Private,275338, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n23, Private,410446, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Private,120475, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n39, Federal-gov,127048, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n60, State-gov,113544, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n34, Self-emp-inc,233727, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n62, Self-emp-not-inc,210064, Some-college,10, Widowed, Prof-specialty, Unmarried, White, Male,0,0,20, United-States, <=50K.\n53, Private,77462, Some-college,10, Separated, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n25, Private,108001, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n36, Private,379522, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, United-States, >50K.\n29, State-gov,51461, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n31, Private,147270, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n44, Private,118212, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,189792, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n58, Private,225623, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K.\n38, Private,248445, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n39, Private,218490, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K.\n22, ?,379883, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n38, Self-emp-inc,312232, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n47, Private,234470, Assoc-acdm,12, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n19, Private,389942, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,79483, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n39, Private,389279, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Self-emp-not-inc,107581, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,176458, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K.\n19, Private,70505, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n51, Local-gov,259646, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n40, Private,235743, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, United-States, <=50K.\n35, Private,177449, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,52, United-States, >50K.\n28, Private,103432, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,45, Portugal, >50K.\n47, Private,347088, 5th-6th,3, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,275924, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, Mexico, >50K.\n34, Private,162113, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,48, United-States, >50K.\n17, Private,147497, 5th-6th,3, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n33, Self-emp-not-inc,37232, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,10520,0,80, United-States, >50K.\n33, Private,441949, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K.\n30, Private,285855, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,103123, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,207076, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n38, Self-emp-not-inc,36270, HS-grad,9, Married-spouse-absent, Farming-fishing, Unmarried, White, Male,0,0,60, United-States, <=50K.\n43, Private,206927, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K.\n32, Private,236415, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Private,108035, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,225395, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,24, United-States, <=50K.\n28, State-gov,140239, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,11, United-States, <=50K.\n36, Private,338033, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n55, Private,314164, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n56, Private,337065, 7th-8th,4, Divorced, Farming-fishing, Other-relative, White, Male,0,0,40, United-States, <=50K.\n33, State-gov,340899, Doctorate,16, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K.\n49, Private,102096, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3781,0,40, United-States, <=50K.\n47, Private,31141, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n62, Private,312818, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,1, United-States, >50K.\n42, Local-gov,270147, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,97279, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n31, Private,247328, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,30, El-Salvador, <=50K.\n48, Self-emp-not-inc,31267, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,3411,0,70, United-States, <=50K.\n32, Private,220066, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Self-emp-not-inc,159269, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,53, Yugoslavia, <=50K.\n47, Private,155107, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Local-gov,354351, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n18, Private,129053, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,28, United-States, <=50K.\n58, Private,255822, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,192323, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,176244, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K.\n23, Private,223019, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n32, Private,243243, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,77, United-States, <=50K.\n22, State-gov,194630, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K.\n51, Self-emp-inc,98980, HS-grad,9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,99, United-States, >50K.\n39, Private,223792, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,72, United-States, <=50K.\n31, Private,415706, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, Local-gov,68781, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n68, Self-emp-inc,113718, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,1258,40, United-States, <=50K.\n37, Local-gov,152587, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, State-gov,120268, Some-college,10, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,50, United-States, >50K.\n37, Private,52870, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Local-gov,193895, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n32, Private,239662, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1579,36, United-States, <=50K.\n51, Local-gov,201040, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Mexico, >50K.\n36, State-gov,25806, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K.\n46, Private,130667, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n55, Private,141807, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n51, State-gov,108037, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n50, Local-gov,129311, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,149218, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K.\n42, Private,337276, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n48, Local-gov,24366, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n61, ?,149855, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,2057,70, United-States, <=50K.\n35, Self-emp-inc,49020, Assoc-acdm,12, Never-married, Farming-fishing, Own-child, White, Male,0,0,35, United-States, <=50K.\n36, Private,165007, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,83413, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Private,103331, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,15024,0,44, United-States, >50K.\n56, Private,142689, 11th,7, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n36, Private,398575, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Private,166301, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,53703, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,274907, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n34, Private,226525, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,36440, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,81965, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K.\n52, Private,111192, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n20, Private,214238, 11th,7, Never-married, Sales, Other-relative, White, Female,0,0,32, Mexico, <=50K.\n43, Private,115932, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,173730, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n63, Private,123157, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n67, Private,220283, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n24, Private,155066, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,244246, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, Poland, <=50K.\n37, Private,112264, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Private,200450, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n66, ?,128609, HS-grad,9, Divorced, ?, Not-in-family, Black, Male,0,0,40, United-States, >50K.\n57, Private,340591, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n36, Local-gov,43712, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n41, Private,316820, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K.\n48, Private,44142, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K.\n24, Private,311311, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n66, ?,143417, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K.\n29, Private,264166, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, Mexico, <=50K.\n44, Private,112656, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K.\n45, Private,123844, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,60, United-States, <=50K.\n27, Private,146760, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n36, Private,225516, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K.\n36, Private,114366, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n32, State-gov,199227, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, <=50K.\n18, Private,299347, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n39, Private,74194, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,1721,45, United-States, <=50K.\n25, Private,244408, HS-grad,9, Married-civ-spouse, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n26, Private,198289, 12th,8, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, Puerto-Rico, <=50K.\n63, State-gov,89451, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n50, Local-gov,149433, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n47, Private,236999, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n17, Private,34943, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K.\n46, Self-emp-inc,40666, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024,0,40, United-States, >50K.\n34, Private,329170, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,6849,0,70, United-States, <=50K.\n26, Private,122999, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n48, Local-gov,118972, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,205068, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K.\n40, Private,195124, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Columbia, <=50K.\n21, Private,143184, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n55, ?,90290, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,175232, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,319366, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Haiti, >50K.\n34, Private,61559, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n47, Private,247869, Some-college,10, Separated, Transport-moving, Unmarried, White, Male,0,0,50, United-States, >50K.\n39, Private,204158, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,60, United-States, >50K.\n36, Private,239755, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,198210, HS-grad,9, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n46, Local-gov,190961, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n77, Private,171193, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Female,0,1668,30, United-States, <=50K.\n27, Private,110073, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, England, >50K.\n19, Private,163885, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n38, Private,99783, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,0,1902,40, United-States, <=50K.\n18, Private,430930, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,6, United-States, <=50K.\n54, Private,200450, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,35, United-States, <=50K.\n33, Private,226296, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1672,50, United-States, <=50K.\n45, Self-emp-inc,214690, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,181008, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, England, >50K.\n26, Local-gov,345779, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K.\n26, Private,58350, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n41, Private,164647, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n21, Private,142809, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,105803, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,195067, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,289964, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n26, Private,194813, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-inc,303211, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,37932, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n73, Self-emp-not-inc,268832, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n33, Private,63925, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n25, Private,189897, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Private,635913, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n25, ?,296228, Some-college,10, Never-married, ?, Unmarried, Other, Female,0,0,42, United-States, <=50K.\n42, Self-emp-not-inc,138162, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n54, Self-emp-not-inc,164757, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,16, United-States, <=50K.\n33, Private,236013, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, >50K.\n79, Private,149912, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,85384, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n52, Self-emp-not-inc,30008, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n23, State-gov,209744, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n25, Private,161027, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n54, Private,131662, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Germany, <=50K.\n47, Private,115971, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,88373, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,16, United-States, <=50K.\n45, Federal-gov,211399, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K.\n22, Local-gov,273989, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Private,124614, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Private,263439, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Self-emp-not-inc,19896, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,60, United-States, >50K.\n31, Private,229732, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,50, United-States, <=50K.\n59, ?,169611, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,7298,0,12, United-States, >50K.\n36, Private,220237, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, Greece, >50K.\n46, Self-emp-not-inc,130779, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, >50K.\n24, Private,152540, Bachelors,13, Divorced, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Private,168330, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,40, United-States, <=50K.\n29, Private,485944, Bachelors,13, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K.\n34, Private,199539, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n26, Private,210521, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K.\n19, Private,244175, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K.\n42, Private,223763, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n56, Self-emp-not-inc,183580, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, ?, <=50K.\n42, Private,63596, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n35, Private,108540, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,40, United-States, <=50K.\n43, Self-emp-not-inc,116632, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,1887,45, United-States, >50K.\n17, Private,175414, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K.\n38, Federal-gov,290624, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,557805, Assoc-voc,11, Never-married, Sales, Other-relative, White, Female,0,0,40, El-Salvador, <=50K.\n20, Private,19410, HS-grad,9, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n48, Private,206357, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,44, United-States, <=50K.\n38, Private,216385, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,1740,40, Haiti, <=50K.\n46, Private,120131, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,40, United-States, >50K.\n72, Private,131699, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,6, United-States, <=50K.\n30, Self-emp-not-inc,157778, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n31, Private,302679, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,133292, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K.\n83, Self-emp-not-inc,243567, 11th,7, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n61, Private,72442, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n42, Self-emp-not-inc,43909, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n23, Private,108307, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Local-gov,87467, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,18, United-States, <=50K.\n42, State-gov,99185, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n27, Federal-gov,37274, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K.\n44, Self-emp-not-inc,342434, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n62, Self-emp-not-inc,234372, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n66, Self-emp-inc,107627, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n22, ?,377725, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,23, United-States, <=50K.\n32, Private,30271, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n30, Private,368570, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n43, Private,316820, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n56, State-gov,176538, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n64, Private,265786, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n31, Private,82393, Some-college,10, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,30, Philippines, <=50K.\n46, Private,318259, Some-college,10, Separated, Tech-support, Unmarried, White, Female,0,0,55, United-States, <=50K.\n45, Private,157980, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K.\n41, Private,173981, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K.\n52, Federal-gov,165050, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, >50K.\n19, Private,303652, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K.\n34, Private,393376, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n57, Self-emp-inc,121912, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n30, Private,351770, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K.\n39, Self-emp-not-inc,198841, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Canada, >50K.\n41, Local-gov,139160, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n21, ?,214810, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K.\n31, Private,137385, Some-college,10, Never-married, Tech-support, Not-in-family, Black, Female,0,0,50, United-States, <=50K.\n39, Private,86643, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,27828,0,55, United-States, >50K.\n20, Private,200089, 11th,7, Never-married, Farming-fishing, Other-relative, White, Male,0,0,36, El-Salvador, <=50K.\n26, Private,219199, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n36, Private,142711, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n29, Private,626493, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,177125, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n28, State-gov,181776, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1876,70, United-States, <=50K.\n36, Private,257250, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K.\n42, Private,444134, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n18, ?,24688, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Local-gov,33731, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,209443, Bachelors,13, Married-AF-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n39, Private,140854, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,60, United-States, >50K.\n50, Private,330142, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,44, United-States, <=50K.\n26, Private,29488, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n52, Private,279129, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n32, Private,177940, Assoc-acdm,12, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,48, United-States, <=50K.\n19, Private,391403, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K.\n36, Private,334365, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n28, Private,171356, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,55, United-States, <=50K.\n45, Private,71145, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, United-States, >50K.\n25, Private,36943, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n42, Private,285787, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Private,433580, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Self-emp-not-inc,50197, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K.\n59, State-gov,139611, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1977,40, India, >50K.\n31, Private,187802, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,241431, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,121775, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,136758, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,10, United-States, <=50K.\n22, Private,493034, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n20, Private,132139, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n50, Self-emp-not-inc,100109, 11th,7, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, ?, <=50K.\n23, Private,198861, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,1669,40, United-States, <=50K.\n19, Private,273226, 11th,7, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,323054, HS-grad,9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K.\n22, Private,284895, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n21, Private,191324, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n53, Private,92565, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n46, Private,234690, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Cuba, >50K.\n20, Private,258509, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n42, State-gov,178897, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,1151,0,40, United-States, <=50K.\n65, Private,220788, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n55, Private,376548, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,228592, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,18, United-States, <=50K.\n33, Local-gov,177216, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n33, ?,211743, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,21, United-States, <=50K.\n21, Private,23813, 10th,6, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n47, Private,195688, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n26, Private,124953, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, ?, <=50K.\n34, Private,129775, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,339644, HS-grad,9, Married-spouse-absent, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n61, Private,149648, 11th,7, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n79, Private,187492, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,7, United-States, <=50K.\n18, Private,336523, 12th,8, Never-married, Other-service, Other-relative, Black, Male,0,0,20, United-States, <=50K.\n39, State-gov,222530, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Female,0,1590,40, United-States, <=50K.\n49, Self-emp-inc,140644, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,5013,0,45, United-States, <=50K.\n31, Private,265201, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Germany, <=50K.\n47, Private,135246, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n36, Private,89202, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n25, Private,296394, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,45, United-States, <=50K.\n50, Local-gov,66544, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,65, United-States, <=50K.\n41, Self-emp-not-inc,165815, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, Private,187722, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n38, Local-gov,187046, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,397877, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n37, Private,258827, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n19, Private,119529, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K.\n22, Private,97212, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n19, Private,47235, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,75, United-States, <=50K.\n56, Private,359972, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,97212, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K.\n52, Local-gov,72036, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,25, United-States, <=50K.\n35, Private,174938, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,201404, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,56, United-States, <=50K.\n23, Private,234791, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K.\n33, State-gov,85632, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n17, Private,147411, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n36, Private,127388, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n21, Private,116657, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, ?,194608, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K.\n28, Private,108706, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,20, United-States, <=50K.\n19, Private,158343, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n51, Private,914061, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n38, Private,190174, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K.\n19, Private,456736, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n46, Self-emp-inc,167882, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,8614,0,70, United-States, >50K.\n42, Self-emp-inc,557349, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K.\n19, Private,310483, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n29, Private,78261, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n39, Private,172571, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n21, Private,230229, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n30, Private,183017, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,230329, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K.\n47, Private,46537, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Private,409622, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K.\n46, Private,190482, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, State-gov,113588, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,24, United-States, <=50K.\n46, Self-emp-not-inc,246891, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,99, United-States, >50K.\n50, Private,193081, Preschool,1, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, Haiti, <=50K.\n50, ?,284477, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,141420, HS-grad,9, Married-civ-spouse, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,197325, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,443336, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n37, Private,66304, 9th,5, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,16, United-States, <=50K.\n25, Private,180783, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,10, United-States, <=50K.\n38, Local-gov,218763, Masters,14, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n39, Federal-gov,388252, Bachelors,13, Never-married, Tech-support, Own-child, Black, Male,0,0,40, United-States, <=50K.\n22, Private,55614, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n25, Private,307643, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,45, United-States, >50K.\n18, ?,33241, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n25, Local-gov,58065, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, <=50K.\n65, State-gov,172348, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K.\n72, Private,138790, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, United-States, <=50K.\n25, State-gov,117393, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,38, United-States, <=50K.\n22, Private,227220, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,241306, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,189565, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-inc,182714, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,113839, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,92531, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,119629, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n26, Private,322585, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,277347, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,221955, 5th-6th,3, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n38, Private,149347, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n75, Private,207116, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,174077, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,32, United-States, <=50K.\n50, Private,22418, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Self-emp-not-inc,255252, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n74, Private,159138, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K.\n38, Private,414991, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,282678, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n53, Federal-gov,164195, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,4386,0,40, United-States, >50K.\n21, Private,143436, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,202046, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Canada, <=50K.\n21, ?,202214, Some-college,10, Never-married, ?, Own-child, White, Female,0,1721,40, United-States, <=50K.\n55, Private,236731, 1st-4th,2, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Dominican-Republic, <=50K.\n23, Local-gov,307267, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,10, United-States, <=50K.\n49, Private,144514, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Private,155913, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n17, Private,206383, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,17, United-States, <=50K.\n25, Private,233994, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Self-emp-not-inc,123291, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n34, Self-emp-not-inc,195602, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n20, Private,151888, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n52, Private,103995, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n31, Private,263796, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,111499, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,202222, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,230246, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Private,37778, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K.\n17, Private,144752, 10th,6, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,20, United-States, <=50K.\n27, Private,220931, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K.\n38, Federal-gov,68840, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,205339, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,172837, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,52, United-States, >50K.\n41, State-gov,159131, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K.\n30, Private,207284, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,350824, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n70, ?,116080, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, >50K.\n39, Self-emp-not-inc,183081, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K.\n37, Self-emp-not-inc,177974, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,3942,0,99, United-States, <=50K.\n63, Private,192849, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K.\n18, Private,169882, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,12, United-States, <=50K.\n21, Private,137320, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K.\n34, Private,251521, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n17, Private,329791, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K.\n32, Private,261319, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n37, Local-gov,343052, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,53271, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,38, United-States, <=50K.\n20, Private,129024, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n29, Private,179768, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n32, Private,144949, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,150861, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n44, Local-gov,112763, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K.\n25, Private,116358, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n38, Self-emp-not-inc,331374, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K.\n52, Private,152811, 10th,6, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n68, Local-gov,202699, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,6418,0,35, United-States, >50K.\n55, Private,92847, 7th-8th,4, Widowed, Priv-house-serv, Unmarried, White, Female,0,0,30, United-States, <=50K.\n41, Private,137142, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n36, Private,953588, 11th,7, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, Local-gov,225544, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, <=50K.\n62, Private,116289, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n32, Private,279912, Some-college,10, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n57, Self-emp-not-inc,256630, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,60, Canada, >50K.\n42, Private,259727, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,25236,0,20, United-States, >50K.\n47, Private,331650, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n34, Private,182006, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Female,4416,0,30, United-States, <=50K.\n19, Private,277708, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n36, Private,64874, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,376455, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n57, Private,125000, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,390369, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,250423, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n48, Local-gov,27802, Masters,14, Separated, Prof-specialty, Not-in-family, White, Male,0,1876,50, United-States, <=50K.\n50, Private,137192, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,20, Philippines, <=50K.\n28, State-gov,200068, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Other, Female,0,0,40, United-States, <=50K.\n26, Private,220656, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K.\n35, Private,199501, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,50, Jamaica, <=50K.\n26, Private,181613, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K.\n32, Private,329432, Masters,14, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n37, Private,139180, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n24, ?,263612, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n73, ?,402363, Masters,14, Married-civ-spouse, ?, Wife, White, Female,0,0,16, United-States, >50K.\n25, Private,256545, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n31, Private,246439, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n20, Private,182615, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,131401, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Private,259138, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,2407,0,36, United-States, <=50K.\n43, Private,107503, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K.\n61, State-gov,205482, HS-grad,9, Married-spouse-absent, Transport-moving, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n34, Private,184833, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,4650,0,50, United-States, <=50K.\n43, Private,395997, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n33, Private,158438, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n42, Self-emp-inc,190044, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,52, United-States, >50K.\n42, Self-emp-not-inc,184378, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,118983, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,30, United-States, <=50K.\n48, Private,99127, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Local-gov,106982, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,52, United-States, <=50K.\n47, Private,213668, Some-college,10, Separated, Machine-op-inspct, Not-in-family, White, Male,8614,0,65, United-States, >50K.\n50, Local-gov,159689, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K.\n57, Private,354923, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n21, Private,200207, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Local-gov,98590, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,221947, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n33, Private,160634, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K.\n53, Local-gov,179237, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,97771, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n17, Private,237399, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K.\n35, Private,276559, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,45, United-States, >50K.\n50, Private,178251, Masters,14, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n58, Private,145370, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,15024,0,50, United-States, >50K.\n21, Private,249271, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n66, Self-emp-not-inc,257562, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Federal-gov,115842, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,341368, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n20, ?,172232, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K.\n25, Private,67151, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n21, Private,228649, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n53, Private,164198, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K.\n64, Local-gov,190228, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, >50K.\n19, Private,179707, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K.\n59, Self-emp-inc,132559, Doctorate,16, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,55, United-States, >50K.\n36, Private,473547, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,30, United-States, <=50K.\n55, Self-emp-inc,284526, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Cuba, <=50K.\n20, Private,112854, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n28, Private,271012, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n34, Private,298995, Some-college,10, Never-married, Tech-support, Not-in-family, Black, Female,0,0,50, United-States, <=50K.\n20, Never-worked,273905, HS-grad,9, Married-spouse-absent, ?, Other-relative, White, Male,0,0,35, United-States, <=50K.\n41, Private,172712, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, >50K.\n33, Private,205249, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,55, ?, <=50K.\n24, Private,375698, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Japan, <=50K.\n42, State-gov,355756, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,147951, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K.\n58, Private,156493, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, United-States, <=50K.\n34, Private,215857, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K.\n22, Private,88824, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,242150, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n30, Private,295010, Some-college,10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, >50K.\n67, Self-emp-not-inc,268781, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, >50K.\n46, Private,360593, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,4650,0,44, United-States, <=50K.\n35, Private,306678, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K.\n42, Self-emp-inc,377018, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,131230, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, ?,457710, 11th,7, Never-married, ?, Own-child, White, Male,0,0,16, Mexico, <=50K.\n34, Self-emp-inc,229732, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n21, Private,159879, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n49, Private,204629, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,46580, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n25, Private,471768, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,32, United-States, <=50K.\n38, Private,117802, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K.\n28, Private,175537, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,37, United-States, <=50K.\n22, Private,247734, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n43, Private,190885, 7th-8th,4, Widowed, Other-service, Unmarried, White, Female,0,0,38, Mexico, <=50K.\n49, Private,117849, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n54, Self-emp-inc,103794, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,5721,0,35, United-States, <=50K.\n35, Self-emp-not-inc,222450, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K.\n36, Private,558344, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,48, United-States, <=50K.\n18, Private,131825, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,21, United-States, <=50K.\n45, Private,166181, HS-grad,9, Widowed, Priv-house-serv, Own-child, Black, Female,0,0,25, United-States, <=50K.\n22, Private,179392, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n47, Local-gov,232149, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K.\n23, Private,96748, Bachelors,13, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, Private,177895, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,207066, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n53, Private,127749, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,216129, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n67, ?,401273, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,5, United-States, <=50K.\n51, Private,245356, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,55, United-States, >50K.\n52, Private,30846, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,216414, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Private,361390, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4064,0,40, Italy, <=50K.\n29, Private,255364, Some-college,10, Divorced, Other-service, Own-child, White, Male,594,0,24, United-States, <=50K.\n19, Private,197377, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K.\n66, Self-emp-not-inc,197816, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,17, United-States, >50K.\n38, Private,194140, Some-college,10, Separated, Machine-op-inspct, Unmarried, Black, Male,0,0,50, United-States, <=50K.\n67, ?,110122, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, >50K.\n33, Private,102130, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n51, Federal-gov,85815, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n30, Private,176064, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,55, United-States, <=50K.\n43, Private,38946, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n29, Private,249463, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,175665, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K.\n58, Private,111385, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n56, State-gov,165867, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,347890, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-inc,49249, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n50, Private,125417, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,65, United-States, >50K.\n73, Self-emp-not-inc,30958, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K.\n45, State-gov,191001, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,40, United-States, >50K.\n18, Self-emp-not-inc,68073, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n33, Private,233149, 12th,8, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Private,204596, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n37, Private,109996, 9th,5, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, Hong, <=50K.\n29, Private,251170, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n22, Private,140001, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n61, State-gov,347445, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n27, Self-emp-not-inc,229126, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,30, United-States, <=50K.\n47, Private,235431, Preschool,1, Never-married, Sales, Unmarried, Black, Female,0,0,40, Haiti, <=50K.\n56, Private,209280, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,16, United-States, <=50K.\n26, Private,172013, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n30, Self-emp-inc,133876, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n60, Private,152727, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K.\n30, Private,139838, 10th,6, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n28, Private,153885, Some-college,10, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,45, United-States, <=50K.\n64, Self-emp-not-inc,21174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K.\n32, Private,101266, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K.\n32, Private,99548, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n31, Local-gov,220669, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,6849,0,40, United-States, <=50K.\n36, Private,91716, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n32, Self-emp-not-inc,112115, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, >50K.\n49, Private,220978, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K.\n40, Private,121012, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,242804, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,192654, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K.\n45, Private,111706, 1st-4th,2, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K.\n41, Private,174196, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K.\n54, Private,312500, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,39623, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n36, Private,355468, 10th,6, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, State-gov,62726, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n58, Federal-gov,75867, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n60, ?,76449, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,111567, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K.\n58, Private,112945, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,191389, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Private,208584, Assoc-acdm,12, Separated, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n49, Private,99340, 5th-6th,3, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, Dominican-Republic, <=50K.\n54, Self-emp-not-inc,308087, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n64, Private,166843, HS-grad,9, Widowed, Other-service, Other-relative, White, Male,0,0,28, United-States, <=50K.\n62, ?,122433, 10th,6, Divorced, ?, Unmarried, White, Male,0,0,35, United-States, <=50K.\n31, Private,103573, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K.\n28, Private,264735, Masters,14, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,50, India, <=50K.\n58, Self-emp-not-inc,281792, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n52, Private,184081, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, Jamaica, <=50K.\n22, Private,381741, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Private,98630, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,161631, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,152591, Some-college,10, Divorced, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n69, Self-emp-not-inc,150080, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,278141, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K.\n48, Self-emp-not-inc,229328, 12th,8, Widowed, Sales, Unmarried, Asian-Pac-Islander, Female,0,0,40, South, <=50K.\n26, Private,278916, Some-college,10, Separated, Handlers-cleaners, Own-child, Black, Male,0,0,20, United-States, <=50K.\n43, Federal-gov,421871, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Male,6849,0,50, United-States, <=50K.\n35, Private,164193, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-not-inc,189265, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,5, United-States, <=50K.\n52, Private,384959, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,36, United-States, >50K.\n62, Private,67320, HS-grad,9, Widowed, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n50, Private,174655, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K.\n30, Local-gov,327203, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,51148, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n19, Private,287380, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,27, United-States, <=50K.\n58, Private,131608, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n41, Private,122857, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female,0,0,40, ?, <=50K.\n28, Private,259609, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K.\n33, Private,104509, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n51, Private,203435, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,148429, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n26, Private,106950, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n19, Private,87402, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,265638, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,60, United-States, <=50K.\n27, Private,430710, HS-grad,9, Separated, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n50, Federal-gov,193116, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,94880, Some-college,10, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n67, Private,186427, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n53, Private,348287, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n58, Private,77498, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n47, Private,199058, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,156464, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, Germany, <=50K.\n40, Private,202508, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,48, ?, >50K.\n45, Private,131309, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,32, United-States, <=50K.\n41, Private,99679, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,136309, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n27, Private,294451, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,104719, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n72, Self-emp-not-inc,207889, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Private,215890, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,341239, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K.\n66, Self-emp-not-inc,58326, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, >50K.\n35, Private,176544, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,1741,50, United-States, <=50K.\n37, Private,216149, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n65, Private,274637, 9th,5, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,16, United-States, <=50K.\n23, Private,163870, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, ?, <=50K.\n52, ?,287575, HS-grad,9, Separated, ?, Unmarried, White, Male,0,0,40, United-States, <=50K.\n35, Private,268292, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K.\n43, Private,343061, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Cuba, <=50K.\n46, Local-gov,481258, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n17, Private,181129, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K.\n18, ?,153302, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,235891, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n33, Self-emp-not-inc,41210, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, <=50K.\n31, Local-gov,152109, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, United-States, <=50K.\n28, Private,114072, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,83066, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,30, United-States, <=50K.\n18, Private,110230, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,5, United-States, <=50K.\n33, Self-emp-inc,137421, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,45, South, <=50K.\n46, Self-emp-inc,222829, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n50, State-gov,89652, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K.\n43, Self-emp-inc,375807, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,60, United-States, >50K.\n29, Private,184224, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n18, Private,54639, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-inc,77764, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n28, Private,61523, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n60, Self-emp-not-inc,54614, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n34, Private,188246, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, ?, <=50K.\n25, Private,267594, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n19, Private,140499, HS-grad,9, Never-married, Protective-serv, Other-relative, White, Male,0,0,40, United-States, <=50K.\n35, Private,73471, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Federal-gov,33487, Some-college,10, Divorced, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Female,0,0,38, United-States, <=50K.\n23, ?,201179, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n69, Self-emp-not-inc,165814, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n44, State-gov,46221, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K.\n49, Self-emp-inc,172246, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,40, United-States, >50K.\n31, Federal-gov,148207, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,53, United-States, <=50K.\n36, Private,389725, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, Germany, >50K.\n33, Private,343519, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n35, Private,67317, Assoc-acdm,12, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n53, Self-emp-not-inc,257728, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n32, Private,264554, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,224567, 11th,7, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n40, Private,24038, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n35, Private,210945, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n52, Self-emp-not-inc,123727, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n32, ?,78374, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,1, United-States, <=50K.\n18, Private,138266, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K.\n58, Private,147098, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K.\n26, Private,211695, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-not-inc,196480, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n39, Private,373699, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Private,189680, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,342458, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,161155, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,48, United-States, <=50K.\n48, Local-gov,116601, Masters,14, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,50, Nicaragua, <=50K.\n67, Self-emp-inc,127605, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2174,40, United-States, >50K.\n22, Self-emp-not-inc,47541, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K.\n62, Private,134779, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,4650,0,40, United-States, <=50K.\n42, Self-emp-not-inc,177937, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n53, Private,114758, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K.\n64, Local-gov,287277, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,173113, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,169785, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, >50K.\n64, Self-emp-not-inc,280508, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Private,360077, 11th,7, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, >50K.\n47, Private,165229, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,282753, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,308812, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n64, Private,132519, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female,0,0,40, United-States, <=50K.\n38, Private,185053, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K.\n42, Local-gov,261899, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n46, Private,119939, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,276165, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,361280, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n33, Private,195770, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Local-gov,289804, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K.\n21, Private,247115, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,60, United-States, <=50K.\n48, Federal-gov,50459, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n22, Private,260617, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K.\n20, Private,155066, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,60, United-States, <=50K.\n80, Private,227210, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,40, United-States, >50K.\n47, Local-gov,47270, Assoc-acdm,12, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n35, Private,111128, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,65, United-States, >50K.\n37, Private,119929, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n73, Private,157248, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n45, Private,174386, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K.\n34, Private,21755, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,63, United-States, <=50K.\n35, Private,261646, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,590204, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,40, United-States, >50K.\n36, Private,679853, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Dominican-Republic, <=50K.\n40, Private,144928, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7298,0,40, United-States, >50K.\n26, ?,88513, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Private,110663, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n52, Self-emp-not-inc,182187, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, Haiti, >50K.\n45, Private,160703, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n39, Private,279323, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,131425, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,180288, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1977,60, United-States, >50K.\n43, Self-emp-inc,123490, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,421474, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K.\n38, Private,100079, Doctorate,16, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,27828,0,60, China, >50K.\n30, Private,95639, 11th,7, Never-married, Handlers-cleaners, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n30, Private,169002, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n59, Self-emp-not-inc,49893, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,24, United-States, <=50K.\n30, Federal-gov,234994, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n43, Self-emp-inc,137232, Bachelors,13, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,42, United-States, <=50K.\n49, Self-emp-not-inc,27067, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n40, Private,193385, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, China, <=50K.\n34, Private,181372, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,23, United-States, <=50K.\n47, Private,189143, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n57, Self-emp-not-inc,115422, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,40, United-States, <=50K.\n64, Self-emp-not-inc,163510, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,50, United-States, >50K.\n35, Private,241998, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n39, Private,106838, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,4386,0,45, United-States, >50K.\n90, ?,50746, 10th,6, Divorced, ?, Not-in-family, White, Female,0,0,7, United-States, <=50K.\n30, Local-gov,325658, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n71, Private,244688, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,6514,0,40, United-States, >50K.\n29, Private,244721, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,170721, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n39, Private,105803, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,152810, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n50, Private,138944, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n50, Private,392668, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,40, United-States, <=50K.\n28, Private,192257, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Japan, <=50K.\n79, ?,23275, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K.\n70, Self-emp-inc,46577, Bachelors,13, Widowed, Farming-fishing, Unmarried, White, Female,0,0,6, United-States, <=50K.\n44, Private,174325, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n41, Local-gov,307767, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,192698, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,443809, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K.\n18, Private,218100, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n37, Private,516701, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Male,0,1564,50, ?, >50K.\n20, Private,123173, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,15, United-States, <=50K.\n33, Private,241697, Some-college,10, Married-spouse-absent, Sales, Unmarried, Amer-Indian-Eskimo, Male,0,1602,40, United-States, <=50K.\n53, Self-emp-inc,233149, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n56, Private,357939, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,73928, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K.\n54, State-gov,88528, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,37, United-States, <=50K.\n40, Private,245073, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n45, Private,148824, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n27, Private,106276, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n48, Private,185039, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,210310, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n27, Private,150767, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K.\n72, ?,31327, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, >50K.\n27, Private,30237, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,45, United-States, <=50K.\n22, Private,264765, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K.\n29, Private,148069, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, ?,41493, Bachelors,13, Divorced, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,168539, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K.\n54, ?,108233, Assoc-acdm,12, Separated, ?, Not-in-family, Black, Female,0,0,20, United-States, <=50K.\n25, State-gov,66692, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,122747, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n36, Self-emp-inc,176289, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n57, Private,238017, HS-grad,9, Widowed, Tech-support, Not-in-family, Black, Female,0,0,54, United-States, <=50K.\n28, Private,41099, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,190151, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K.\n58, Private,109159, HS-grad,9, Widowed, Tech-support, Unmarried, White, Female,0,0,38, United-States, <=50K.\n37, Local-gov,176949, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K.\n61, Private,293899, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n48, Private,168262, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, >50K.\n64, Private,208862, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,15, United-States, <=50K.\n50, Private,69477, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n34, Private,443546, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Germany, <=50K.\n21, ?,202989, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,80, United-States, <=50K.\n59, Self-emp-not-inc,49996, HS-grad,9, Widowed, Other-service, Not-in-family, Black, Female,0,0,20, United-States, <=50K.\n75, State-gov,220618, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,10, United-States, <=50K.\n30, Private,127875, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n26, Private,217517, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,2885,0,40, United-States, <=50K.\n20, Private,162151, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K.\n53, Federal-gov,314871, Some-college,10, Separated, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n48, Local-gov,193960, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K.\n33, Private,198103, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, State-gov,106466, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n51, Private,122109, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K.\n54, Private,254152, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,249449, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n47, Private,184169, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n34, Self-emp-inc,156192, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n31, Self-emp-not-inc,175509, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n42, Private,297266, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,90, United-States, >50K.\n24, Private,188073, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n18, ?,221312, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n79, Private,121552, 7th-8th,4, Widowed, Other-service, Unmarried, Black, Male,0,0,5, United-States, <=50K.\n38, Private,177134, HS-grad,9, Married-civ-spouse, Sales, Wife, Black, Female,0,0,40, United-States, <=50K.\n67, Private,127921, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,40, United-States, >50K.\n25, Private,210794, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n47, Private,149366, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Peru, <=50K.\n25, Private,214303, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, ?, <=50K.\n24, ?,205940, 9th,5, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n24, ?,43535, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,30, United-States, <=50K.\n47, Private,158924, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n46, Private,270437, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Private,266505, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,5013,0,38, United-States, <=50K.\n32, Private,37070, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Japan, <=50K.\n26, Federal-gov,56419, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,20, South, <=50K.\n52, Private,389270, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n61, Private,205266, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Federal-gov,104575, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,99220, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,178313, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n41, Local-gov,103614, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n47, Private,114882, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,186977, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Columbia, <=50K.\n22, Private,208893, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n57, Self-emp-inc,84231, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K.\n20, Private,129240, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n64, Private,113061, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,243409, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n18, ?,28132, 12th,8, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n40, Private,77975, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, ?,241580, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,55, United-States, <=50K.\n40, Private,165599, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K.\n31, Private,85374, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n32, Self-emp-not-inc,45604, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n42, Private,109501, 5th-6th,3, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K.\n22, ?,289405, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n25, Private,75759, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,3325,0,40, United-States, <=50K.\n27, Private,144808, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n21, ?,231511, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n47, Private,155890, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n56, Self-emp-not-inc,108496, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,101562, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n29, Private,116372, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, >50K.\n17, Private,58037, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,339025, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,1579,40, Vietnam, <=50K.\n31, Private,117659, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,372898, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n24, Private,199426, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K.\n25, Private,36023, HS-grad,9, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n64, ?,186535, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,3103,0,3, United-States, <=50K.\n44, Private,57600, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, <=50K.\n48, Private,369522, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n35, Private,28572, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,215323, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,81846, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K.\n68, Private,535762, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1844,10, United-States, <=50K.\n59, Private,239405, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,35, Jamaica, <=50K.\n43, Local-gov,43998, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K.\n28, Private,408417, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K.\n50, Self-emp-not-inc,43705, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n45, Private,176841, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, El-Salvador, <=50K.\n17, Private,120676, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K.\n44, Local-gov,207685, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,33, United-States, >50K.\n26, Private,157708, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,126349, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,49, United-States, <=50K.\n40, Private,277647, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, >50K.\n45, Private,174426, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, <=50K.\n43, Self-emp-not-inc,37869, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K.\n28, Private,150025, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Peru, <=50K.\n54, Self-emp-not-inc,155496, Some-college,10, Never-married, Other-service, Unmarried, White, Female,2176,0,40, United-States, <=50K.\n43, Private,174748, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,7430,0,45, United-States, >50K.\n40, Self-emp-inc,140915, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Other, Male,0,0,40, France, >50K.\n19, Private,187161, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,18, United-States, <=50K.\n24, Private,181820, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n20, Private,438321, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n55, Private,342121, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,54, United-States, <=50K.\n39, Private,135162, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n22, Private,289448, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,2205,30, Philippines, <=50K.\n44, Self-emp-not-inc,157237, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n30, Private,184542, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n74, Private,70234, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,26, United-States, <=50K.\n30, Private,170412, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,171184, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, Dominican-Republic, <=50K.\n56, ?,141076, HS-grad,9, Divorced, ?, Not-in-family, Black, Female,3674,0,40, United-States, <=50K.\n59, Private,168145, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,172594, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n21, Private,133582, 5th-6th,3, Never-married, Farming-fishing, Not-in-family, White, Male,2176,0,36, Mexico, <=50K.\n51, Private,214840, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n20, ?,301408, Some-college,10, Never-married, ?, Own-child, White, Female,0,1602,30, United-States, <=50K.\n33, Private,97723, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,40, United-States, <=50K.\n51, Self-emp-not-inc,318351, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, Canada, >50K.\n20, Private,69911, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n59, Private,200316, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Local-gov,265426, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K.\n39, Private,66687, Some-college,10, Separated, Craft-repair, Unmarried, White, Male,0,0,45, United-States, <=50K.\n31, Private,107417, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, ?,140782, HS-grad,9, Separated, ?, Own-child, White, Female,0,0,36, United-States, <=50K.\n23, ?,212210, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n57, Private,144012, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n67, ?,40021, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,228493, 1st-4th,2, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,65, Mexico, <=50K.\n40, State-gov,114714, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K.\n17, Private,188758, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n34, Private,176862, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Local-gov,107793, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n47, Self-emp-not-inc,333052, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,5, United-States, <=50K.\n49, Private,175958, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,46, United-States, >50K.\n24, Private,125012, Bachelors,13, Married-spouse-absent, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K.\n28, Private,135296, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Local-gov,31171, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,1590,40, United-States, <=50K.\n31, Private,103860, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n40, Private,90582, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,216292, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n54, Local-gov,188588, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,2001,35, United-States, <=50K.\n27, ?,173178, Some-college,10, Never-married, ?, Not-in-family, Black, Male,0,0,36, United-States, <=50K.\n50, Self-emp-inc,193720, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,48, United-States, <=50K.\n35, Private,218542, 9th,5, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K.\n44, Private,138845, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n46, State-gov,86837, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,50, Philippines, <=50K.\n22, State-gov,125010, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K.\n38, Private,50149, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n46, Private,241350, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,8614,0,50, United-States, >50K.\n81, Private,39895, 7th-8th,4, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,2, United-States, <=50K.\n36, Self-emp-not-inc,258289, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K.\n28, Self-emp-not-inc,183151, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n58, ?,228614, 7th-8th,4, Married-civ-spouse, ?, Husband, Black, Male,0,0,35, United-States, <=50K.\n51, Private,192236, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3464,0,48, United-States, <=50K.\n37, ?,161664, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,60, United-States, <=50K.\n45, Private,105381, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,235786, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Private,118947, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, >50K.\n35, Private,168817, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n34, Private,24361, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,321223, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n66, Private,146810, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,24, United-States, <=50K.\n30, Local-gov,94041, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,3325,0,35, United-States, <=50K.\n40, Self-emp-not-inc,814850, 9th,5, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K.\n43, Private,331649, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n43, Private,209894, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K.\n44, Private,229954, Assoc-acdm,12, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n48, Private,287547, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n42, Private,184018, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n25, Private,332409, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n33, Local-gov,113364, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n28, State-gov,134813, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,65, United-States, >50K.\n24, Private,273049, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n29, Private,334277, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n51, State-gov,196395, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,60, United-States, >50K.\n47, Private,138069, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,358259, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n36, Private,362067, Assoc-voc,11, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n54, Private,209947, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,42, United-States, <=50K.\n23, Private,122244, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K.\n36, Private,116546, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,213934, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,42, United-States, <=50K.\n27, Local-gov,24988, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,1564,72, United-States, >50K.\n53, Private,157229, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,40, India, <=50K.\n30, Private,162442, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K.\n67, Federal-gov,231604, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K.\n24, Private,187031, Masters,14, Never-married, Sales, Unmarried, Black, Female,0,0,38, United-States, <=50K.\n33, Private,172714, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Self-emp-not-inc,198286, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,220001, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Private,262656, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,32, United-States, <=50K.\n27, Private,203776, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,193815, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n57, Local-gov,173242, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n43, Private,108126, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,1762,24, United-States, <=50K.\n62, Private,199021, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,54, United-States, <=50K.\n53, Private,92968, Assoc-acdm,12, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Private,173682, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Local-gov,277533, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,90896, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n57, Self-emp-inc,212600, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K.\n52, Private,261671, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K.\n66, Private,86321, HS-grad,9, Widowed, Transport-moving, Not-in-family, White, Male,0,0,22, United-States, <=50K.\n37, Self-emp-not-inc,119992, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K.\n33, Private,427812, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Puerto-Rico, <=50K.\n34, Private,55849, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K.\n23, Private,271354, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,50, United-States, >50K.\n36, Private,131239, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n50, State-gov,139157, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K.\n39, State-gov,305541, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,55, United-States, <=50K.\n50, Private,151159, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, United-States, <=50K.\n23, Private,84726, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,45, Germany, <=50K.\n47, ?,175530, 5th-6th,3, Separated, ?, Own-child, White, Female,0,0,56, Mexico, <=50K.\n39, Local-gov,364782, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,137304, Bachelors,13, Married-civ-spouse, Tech-support, Wife, Black, Female,0,0,40, United-States, >50K.\n23, Private,197613, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Self-emp-inc,171615, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n57, Self-emp-not-inc,105824, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K.\n47, Local-gov,250745, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K.\n28, Private,352451, 7th-8th,4, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n17, Private,123947, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K.\n43, Private,178983, Masters,14, Separated, Sales, Unmarried, White, Female,6497,0,50, United-States, <=50K.\n47, Private,101299, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n53, Self-emp-inc,124993, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n26, Private,178478, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n46, Private,67001, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,97295, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n48, Local-gov,169515, Bachelors,13, Divorced, Protective-serv, Not-in-family, Black, Female,0,0,43, United-States, >50K.\n49, Private,121253, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,1564,40, United-States, >50K.\n52, Federal-gov,35546, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,111635, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,207419, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n31, Private,143083, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n42, Self-emp-not-inc,248094, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n41, Private,170685, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,46, United-States, <=50K.\n46, Private,116143, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,223426, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,65, Canada, >50K.\n23, Private,370548, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,27, United-States, <=50K.\n43, Private,245525, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K.\n41, Private,408229, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,15, United-States, <=50K.\n29, Local-gov,181434, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K.\n27, Private,213225, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298,0,45, England, >50K.\n24, Private,199915, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n44, Local-gov,143104, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,38, United-States, >50K.\n31, Private,874728, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n43, Private,27661, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Local-gov,216116, HS-grad,9, Divorced, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, >50K.\n43, Private,193882, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n50, Self-emp-not-inc,98180, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,99999,0,45, United-States, >50K.\n70, Self-emp-not-inc,92353, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n78, Self-emp-not-inc,184762, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,3471,0,50, United-States, <=50K.\n21, ?,148294, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,128777, Some-college,10, Never-married, Sales, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n73, Private,108098, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n47, Private,233511, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Private,223792, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,43904, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n45, Private,239864, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Private,159075, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,103474, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n21, Private,90896, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n46, Private,145290, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,155818, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n28, Self-emp-not-inc,35864, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0,0,70, Iran, >50K.\n18, Private,394954, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n50, State-gov,34637, 9th,5, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2002,40, United-States, <=50K.\n34, Private,38223, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,352105, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n53, Private,291096, 1st-4th,2, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n63, Self-emp-not-inc,144391, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K.\n62, Private,44013, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,134890, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,497525, 10th,6, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n28, Private,195520, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K.\n44, Self-emp-not-inc,35166, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, <=50K.\n26, Private,180514, Bachelors,13, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n32, Private,262153, 11th,7, Married-spouse-absent, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Local-gov,91039, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n70, ?,30140, 9th,5, Never-married, ?, Unmarried, White, Male,0,0,40, United-States, <=50K.\n27, Private,125791, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Female,0,0,15, United-States, <=50K.\n31, Private,337505, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K.\n61, Private,258775, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,4386,0,40, United-States, >50K.\n32, Private,153152, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,2051,38, United-States, <=50K.\n21, ?,120998, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Self-emp-not-inc,434102, 11th,7, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,3, United-States, <=50K.\n39, Private,342768, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,160786, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,46, United-States, <=50K.\n52, Private,279440, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K.\n26, Self-emp-not-inc,67240, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n30, Private,196963, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Female,0,0,15, United-States, <=50K.\n70, Private,115239, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, United-States, <=50K.\n29, Private,133937, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n32, Private,31714, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,4865,0,40, United-States, <=50K.\n32, Private,347623, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Private,174848, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n75, Self-emp-not-inc,106873, 11th,7, Widowed, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,49687, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,1980,40, United-States, <=50K.\n39, Private,256294, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n66, State-gov,33155, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n46, Private,131939, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n49, Local-gov,95256, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,42, United-States, >50K.\n32, Private,198901, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,177287, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n44, Private,144925, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,3325,0,40, United-States, <=50K.\n42, Private,188243, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K.\n34, Self-emp-not-inc,198068, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,116960, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,172496, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Poland, <=50K.\n21, ?,399449, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n33, Private,251990, HS-grad,9, Separated, Adm-clerical, Not-in-family, Other, Male,0,0,37, United-States, <=50K.\n54, Federal-gov,28683, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,4386,0,41, United-States, >50K.\n36, Private,109133, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n36, Private,24504, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Private,201495, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K.\n49, Private,187634, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, >50K.\n40, Private,77391, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,36601, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, >50K.\n31, Self-emp-not-inc,197193, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,27, United-States, <=50K.\n81, Self-emp-not-inc,184762, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,25, Greece, <=50K.\n40, Private,200671, HS-grad,9, Divorced, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n47, Private,186539, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,10, United-States, <=50K.\n39, Private,199816, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n42, Private,171351, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,119793, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, >50K.\n40, Local-gov,38876, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K.\n28, Private,145242, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,4386,0,20, United-States, >50K.\n19, ?,292774, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, State-gov,217251, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K.\n35, Private,195253, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n35, ?,139854, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K.\n52, State-gov,145072, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n17, Private,108085, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K.\n23, Private,72055, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n76, Private,82628, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K.\n41, Self-emp-not-inc,49156, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n46, Private,187666, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K.\n49, Self-emp-not-inc,225456, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n60, Federal-gov,286253, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n65, ?,168548, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Private,190384, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K.\n46, Federal-gov,362835, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Germany, >50K.\n50, Private,243322, HS-grad,9, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n39, Private,49105, Assoc-voc,11, Separated, Adm-clerical, Own-child, White, Female,594,0,40, United-States, <=50K.\n20, Private,72520, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n38, Private,200352, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n56, Private,146660, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,10, United-States, <=50K.\n30, Self-emp-not-inc,247328, Assoc-voc,11, Separated, Sales, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n41, Private,304605, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, >50K.\n29, Private,309778, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,248476, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K.\n28, Private,129624, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, Cambodia, <=50K.\n30, Private,97723, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K.\n19, Private,143404, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K.\n56, Private,127264, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,34, United-States, <=50K.\n28, Private,179191, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n23, Private,230824, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n34, Private,410615, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n43, Private,224998, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1977,40, United-States, >50K.\n60, Self-emp-not-inc,54553, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K.\n43, Local-gov,225165, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n60, Self-emp-inc,75257, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K.\n42, Private,33155, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,85, United-States, <=50K.\n32, Local-gov,450141, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,1408,40, United-States, <=50K.\n31, Private,441949, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Mexico, >50K.\n25, Private,131341, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, Cuba, <=50K.\n25, Private,227548, 12th,8, Married-civ-spouse, Other-service, Husband, Black, Male,3103,0,40, United-States, <=50K.\n41, Self-emp-inc,38876, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1977,50, United-States, >50K.\n26, Private,143756, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Local-gov,308275, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,7688,0,65, United-States, >50K.\n35, Private,173586, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n21, Private,196074, 9th,5, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K.\n39, Federal-gov,178877, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,285580, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K.\n66, Self-emp-not-inc,219220, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,2290,0,40, Germany, <=50K.\n32, Federal-gov,228696, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n39, Private,185405, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,240124, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n26, ?,96130, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, England, <=50K.\n31, Private,329172, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n27, Private,147280, 11th,7, Never-married, Other-service, Own-child, Other, Male,0,0,40, United-States, <=50K.\n34, Private,197252, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n43, State-gov,118544, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n56, Private,183169, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n34, Private,205810, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female,0,1672,40, United-States, <=50K.\n23, Private,132556, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,438429, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,104293, Assoc-acdm,12, Never-married, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n37, Private,506830, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n42, Private,56072, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n51, Local-gov,164300, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K.\n34, Private,274577, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n60, Self-emp-not-inc,36568, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n41, Private,223548, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n27, Local-gov,478277, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K.\n46, Private,254672, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,2354,0,40, United-States, <=50K.\n22, Private,171538, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n17, ?,220302, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n18, Private,87135, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K.\n46, Self-emp-not-inc,138626, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n40, Private,179069, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n24, Private,88824, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Self-emp-not-inc,159623, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K.\n67, ?,350525, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, >50K.\n53, Self-emp-not-inc,276369, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K.\n25, Private,96862, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,65, United-States, <=50K.\n18, Private,245486, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n64, Local-gov,209899, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,35, United-States, <=50K.\n45, Private,306122, Bachelors,13, Never-married, Other-service, Not-in-family, Black, Female,0,0,44, United-States, >50K.\n32, Private,240763, 11th,7, Divorced, Transport-moving, Own-child, Black, Male,0,0,45, United-States, <=50K.\n30, Private,323069, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n35, Private,179579, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K.\n46, ?,162034, Some-college,10, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, Private,291181, HS-grad,9, Never-married, Sales, Other-relative, White, Female,0,0,28, Mexico, <=50K.\n31, Private,356823, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,10520,0,40, United-States, >50K.\n39, Private,312271, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n33, Private,182714, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,184569, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,45, United-States, <=50K.\n55, Private,129762, HS-grad,9, Divorced, Other-service, Other-relative, White, Female,0,0,40, Scotland, <=50K.\n23, Private,216867, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,155489, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K.\n42, Private,256179, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,48, United-States, >50K.\n65, Private,51063, 10th,6, Divorced, Other-service, Not-in-family, Black, Male,0,0,64, United-States, <=50K.\n37, State-gov,164898, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,202206, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, Puerto-Rico, <=50K.\n48, Private,115358, 7th-8th,4, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0,0,15, United-States, <=50K.\n43, Local-gov,343068, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,65, United-States, <=50K.\n44, Private,152908, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n58, Local-gov,217802, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7688,0,45, United-States, >50K.\n70, Self-emp-not-inc,380498, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n28, Local-gov,257124, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n46, Local-gov,313635, Prof-school,15, Separated, Prof-specialty, Not-in-family, Black, Male,4650,0,40, United-States, <=50K.\n33, Private,168906, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,55, United-States, <=50K.\n35, Local-gov,99146, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K.\n18, Private,190325, 11th,7, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n29, Private,272715, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n29, Private,118598, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n59, Private,97213, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,39388, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,190916, 11th,7, Divorced, Sales, Other-relative, White, Female,0,0,25, United-States, <=50K.\n34, Private,61308, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n30, Private,27856, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n54, State-gov,151580, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n38, Private,248011, 11th,7, Divorced, Transport-moving, Unmarried, White, Male,0,0,55, United-States, <=50K.\n44, Private,188615, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n30, Private,62932, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K.\n28, Private,32510, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,15, United-States, <=50K.\n60, ?,155977, Some-college,10, Widowed, ?, Unmarried, Black, Female,0,0,54, United-States, <=50K.\n57, Federal-gov,250873, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,257942, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n43, Private,334141, 7th-8th,4, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n22, ?,144210, 11th,7, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K.\n34, Private,87535, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n46, Private,222011, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n44, Private,33895, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n23, Private,168997, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n50, Local-gov,163576, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n72, Private,98035, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K.\n20, ?,41356, Assoc-voc,11, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,245361, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Private,109133, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, ?, <=50K.\n62, ?,111563, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,21, United-States, <=50K.\n75, Self-emp-not-inc,124256, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2149,35, United-States, <=50K.\n21, ?,227521, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n60, Self-emp-not-inc,197060, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n18, Private,332125, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,2176,0,25, United-States, <=50K.\n19, Private,348867, HS-grad,9, Never-married, Sales, Other-relative, Black, Female,0,0,15, United-States, <=50K.\n31, Self-emp-inc,118584, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,110622, Bachelors,13, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female,0,0,8, South, <=50K.\n24, Private,43535, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n62, Private,84784, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,1741,40, United-States, <=50K.\n25, Private,266600, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,3137,0,40, United-States, <=50K.\n28, Private,106935, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n56, Private,265518, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n38, Private,289653, Assoc-voc,11, Widowed, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,340917, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,60, ?, >50K.\n41, Private,56651, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,374833, 1st-4th,2, Married-spouse-absent, Farming-fishing, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n38, Private,210198, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K.\n44, Private,240448, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,20, United-States, <=50K.\n20, Private,206869, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n72, Self-emp-inc,149689, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,48, United-States, >50K.\n72, Private,75594, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2653,0,40, United-States, <=50K.\n37, Private,110331, Prof-school,15, Married-civ-spouse, Other-service, Wife, White, Female,0,0,60, United-States, >50K.\n54, Private,353787, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,142909, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,54102, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n36, Self-emp-inc,339116, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, ?, <=50K.\n60, ?,50783, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,415500, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n41, Private,79586, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,60, China, >50K.\n52, Private,142757, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,56, United-States, >50K.\n37, Private,91716, HS-grad,9, Divorced, Sales, Unmarried, White, Male,0,0,75, United-States, <=50K.\n22, Private,376393, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K.\n59, Private,129762, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, Scotland, <=50K.\n34, Private,293017, Some-college,10, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,54583, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,30, United-States, <=50K.\n21, Private,54472, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, ?,129767, Assoc-acdm,12, Never-married, ?, Own-child, White, Female,0,0,5, United-States, <=50K.\n40, Private,109217, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Mexico, <=50K.\n32, Private,189265, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,221680, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,200947, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,35, Italy, <=50K.\n21, Private,402136, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K.\n30, Private,119411, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, ?, <=50K.\n47, Self-emp-not-inc,136258, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n53, Private,35459, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, >50K.\n31, Private,157640, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,55, United-States, >50K.\n39, Private,181384, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n50, Private,81253, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,30, United-States, <=50K.\n21, Private,152668, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n17, ?,387063, 10th,6, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n73, ?,132256, Bachelors,13, Widowed, ?, Unmarried, White, Female,0,0,7, United-States, <=50K.\n39, Private,106964, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,1977,55, United-States, >50K.\n21, ?,214238, HS-grad,9, Married-spouse-absent, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n20, Private,218068, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,23, United-States, <=50K.\n33, Private,162572, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n74, Self-emp-not-inc,160009, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, >50K.\n25, Private,164488, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n51, ?,209794, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,3, United-States, >50K.\n31, Private,119033, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K.\n27, Private,311446, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, Germany, <=50K.\n31, Private,128065, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, >50K.\n48, Private,101016, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n73, Private,33493, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,3, United-States, <=50K.\n34, Private,130078, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,32, ?, >50K.\n30, Private,284826, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n53, Self-emp-not-inc,169112, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Hungary, >50K.\n37, Federal-gov,362006, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n19, Private,124906, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1719,25, United-States, <=50K.\n53, Private,229247, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,5013,0,45, United-States, <=50K.\n59, Self-emp-inc,170993, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,13550,0,40, United-States, >50K.\n39, Private,157641, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n23, Private,224632, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,38, United-States, <=50K.\n26, Private,159732, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,2205,43, United-States, <=50K.\n56, Self-emp-not-inc,221801, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n90, Private,347074, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1944,12, United-States, <=50K.\n35, Private,143059, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,0,1902,28, United-States, >50K.\n23, Private,37072, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,137815, 9th,5, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Federal-gov,594194, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K.\n41, Private,284716, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K.\n39, Private,202662, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n56, Local-gov,191754, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n31, Private,175985, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n69, Private,108196, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, ?, <=50K.\n37, Private,51198, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n26, Self-emp-inc,384276, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n46, Self-emp-not-inc,368355, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n20, Private,221661, 10th,6, Never-married, Sales, Not-in-family, White, Female,0,0,30, Mexico, <=50K.\n51, Private,108435, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n63, ?,176827, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K.\n42, Private,209547, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,40, United-States, >50K.\n29, Private,197565, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,1902,35, United-States, >50K.\n62, Private,180418, 12th,8, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,45880, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Local-gov,203953, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Puerto-Rico, >50K.\n64, Self-emp-not-inc,178748, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n28, Private,203171, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Male,0,0,55, United-States, <=50K.\n71, Private,132057, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,9386,0,50, United-States, >50K.\n33, Local-gov,40142, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, <=50K.\n36, Private,224541, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n67, Self-emp-not-inc,221252, Masters,14, Divorced, Sales, Not-in-family, Other, Male,0,0,40, United-States, <=50K.\n26, Private,133766, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K.\n41, Private,244945, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K.\n35, Private,171393, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n63, Self-emp-not-inc,326903, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K.\n27, Private,91257, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n41, Private,118001, 11th,7, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n30, Private,168906, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,44, United-States, <=50K.\n27, Private,267912, 10th,6, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n55, Private,327406, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,65, United-States, >50K.\n25, Private,141876, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,185177, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,191807, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,114942, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,43, United-States, >50K.\n32, Self-emp-inc,204470, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,99, United-States, >50K.\n50, Private,195844, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Male,13550,0,50, United-States, >50K.\n39, Private,184659, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,224466, Some-college,10, Divorced, Craft-repair, Unmarried, Black, Male,0,0,24, United-States, <=50K.\n46, Local-gov,149551, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,5013,0,50, United-States, <=50K.\n53, Private,113522, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n68, Private,116993, Prof-school,15, Widowed, Prof-specialty, Unmarried, White, Male,0,0,60, United-States, >50K.\n45, Private,277434, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n42, Private,167948, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, South, >50K.\n67, Self-emp-inc,273239, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n74, Private,322789, 10th,6, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1411,40, United-States, <=50K.\n20, Local-gov,240517, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n52, Local-gov,230112, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n21, Local-gov,211385, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,25, United-States, <=50K.\n33, Private,109282, 7th-8th,4, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,367904, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Mexico, <=50K.\n43, Private,34278, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K.\n67, Private,221281, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n39, Private,179671, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, State-gov,106721, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K.\n27, Private,152951, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n30, Private,315203, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Female,0,0,30, Dominican-Republic, <=50K.\n44, Private,117728, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,192017, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n17, ?,186575, 11th,7, Never-married, ?, Own-child, White, Male,0,0,10, United-States, <=50K.\n42, Private,120837, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n39, Self-emp-not-inc,289430, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, Mexico, <=50K.\n44, Private,304175, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K.\n52, Local-gov,251841, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n17, Private,33611, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,38122, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n23, Self-emp-not-inc,72143, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n52, Federal-gov,385183, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n58, Private,37345, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,290964, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,38, United-States, >50K.\n26, Private,52839, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-inc,134737, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,2829,0,70, United-States, <=50K.\n21, Private,55465, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n48, Private,377401, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K.\n21, Private,323497, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,36, United-States, <=50K.\n21, Private,334693, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n41, Self-emp-inc,163215, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, >50K.\n54, Private,178530, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n38, Private,368256, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n37, Private,191137, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,42, United-States, <=50K.\n64, Private,212513, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n56, Private,147653, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K.\n41, Private,173307, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,212760, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n53, State-gov,101238, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,306868, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,38, United-States, <=50K.\n60, Federal-gov,117509, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,151835, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K.\n70, Private,291998, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,20051,0,65, United-States, >50K.\n44, Private,136986, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n50, Private,201984, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Private,187060, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Canada, <=50K.\n46, Private,174928, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n29, Private,445480, 12th,8, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K.\n26, Private,265781, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n33, Local-gov,377107, Some-college,10, Separated, Other-service, Own-child, Black, Female,0,0,35, United-States, <=50K.\n42, Private,347890, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K.\n24, Private,199336, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,45, United-States, <=50K.\n17, Private,111593, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K.\n35, Private,258657, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n37, Federal-gov,39207, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K.\n59, Private,159770, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,309463, 9th,5, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n38, Federal-gov,215419, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, Canada, <=50K.\n47, Self-emp-not-inc,177533, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,251239, 9th,5, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n40, Federal-gov,134307, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,1741,40, United-States, <=50K.\n21, Private,24598, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,140676, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n46, Private,143542, 11th,7, Widowed, Machine-op-inspct, Other-relative, White, Male,0,0,20, United-States, <=50K.\n65, ?,38189, HS-grad,9, Never-married, ?, Not-in-family, Black, Male,2346,0,40, United-States, <=50K.\n31, Private,158291, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,118503, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n50, Self-emp-not-inc,71609, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n46, Private,203653, Bachelors,13, Divorced, Sales, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n31, Private,181751, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,162358, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1408,40, United-States, <=50K.\n66, ?,231315, Assoc-acdm,12, Widowed, ?, Unmarried, White, Female,0,0,3, United-States, <=50K.\n59, Federal-gov,181940, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,213226, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,27828,0,40, United-States, >50K.\n27, Private,452963, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Private,268039, Some-college,10, Divorced, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n34, Private,141841, HS-grad,9, Separated, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n58, Self-emp-not-inc,194733, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n36, Private,214008, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n29, ?,147755, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,32, ?, <=50K.\n42, State-gov,273869, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K.\n24, Private,160261, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,64, ?, <=50K.\n25, Private,48029, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,163460, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,20, United-States, <=50K.\n55, Private,112529, 5th-6th,3, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n55, Private,109075, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,5013,0,48, United-States, <=50K.\n31, Private,182699, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n33, Private,101867, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n65, Local-gov,382245, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n18, Private,200290, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K.\n23, State-gov,35805, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n22, Private,157541, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K.\n61, Local-gov,192085, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,15, United-States, <=50K.\n40, Private,33795, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,345459, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n25, Private,105520, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n63, Local-gov,114752, Bachelors,13, Widowed, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,35, Philippines, <=50K.\n17, Private,98572, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n54, Self-emp-not-inc,83984, Masters,14, Divorced, Tech-support, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n45, Local-gov,317846, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,0,0,47, United-States, <=50K.\n28, State-gov,319027, HS-grad,9, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n24, Private,84319, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n70, Private,298470, Bachelors,13, Widowed, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n46, Private,278322, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n51, Local-gov,169182, 9th,5, Widowed, Other-service, Not-in-family, White, Female,0,0,45, Cuba, <=50K.\n58, Private,498267, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n71, ?,94314, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,1173,0,18, United-States, <=50K.\n26, Private,50053, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,37, United-States, <=50K.\n38, Private,107302, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K.\n40, Private,110009, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K.\n45, Private,154174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n43, Private,147110, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n55, Self-emp-not-inc,141122, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,162164, 11th,7, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n26, ?,168095, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,134664, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3781,0,40, United-States, <=50K.\n66, Private,95644, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Private,198183, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n35, Private,538583, 11th,7, Separated, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n47, ?,308499, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,108837, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, >50K.\n55, Private,27227, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,1977,35, United-States, >50K.\n43, Federal-gov,117022, Assoc-voc,11, Divorced, Handlers-cleaners, Unmarried, Black, Male,0,1726,40, United-States, <=50K.\n66, Private,133884, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,602513, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n55, Self-emp-inc,114495, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,50, United-States, >50K.\n43, Private,171087, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K.\n33, Private,53373, 10th,6, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n18, Private,323810, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, ?, <=50K.\n50, Private,200325, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,322092, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,209739, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K.\n38, Private,589809, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n45, Self-emp-not-inc,105838, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n30, Private,119522, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n56, Private,258579, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n29, Private,123200, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,2415,40, Puerto-Rico, >50K.\n34, Private,275771, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K.\n58, Local-gov,33386, Some-college,10, Widowed, Adm-clerical, Other-relative, White, Female,0,0,25, United-States, <=50K.\n47, Local-gov,101016, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,40, United-States, >50K.\n62, Private,217434, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,187229, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,40, United-States, <=50K.\n49, Private,207772, HS-grad,9, Divorced, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K.\n40, Federal-gov,179717, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,50, United-States, >50K.\n17, Private,260978, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,14, Philippines, <=50K.\n36, Private,280570, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n73, Private,179001, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,7, United-States, <=50K.\n26, State-gov,79089, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n63, Private,85420, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, <=50K.\n21, Local-gov,244074, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,22, United-States, <=50K.\n49, Self-emp-not-inc,259087, 11th,7, Widowed, Craft-repair, Unmarried, White, Female,0,0,40, ?, <=50K.\n20, Private,361138, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,45, United-States, <=50K.\n40, Private,309311, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,46756, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n55, Federal-gov,272339, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n39, Private,82521, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n40, Private,103759, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, Private,150675, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Private,180096, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K.\n49, Private,157991, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n26, Private,164170, Some-college,10, Never-married, Sales, Other-relative, Asian-Pac-Islander, Female,0,0,35, Philippines, <=50K.\n18, Private,186946, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,23, United-States, <=50K.\n57, Private,201159, Assoc-acdm,12, Widowed, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,61343, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K.\n21, Private,130534, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n43, Private,222635, 11th,7, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,80, United-States, <=50K.\n32, Private,169768, Bachelors,13, Separated, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n23, Private,72922, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n59, Private,66440, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Private,338836, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,36, United-States, >50K.\n47, Local-gov,122206, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, >50K.\n36, Private,145704, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, State-gov,88215, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K.\n24, Private,114873, HS-grad,9, Never-married, Protective-serv, Not-in-family, Other, Male,0,0,40, United-States, <=50K.\n22, Private,240063, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n67, Self-emp-not-inc,167015, Bachelors,13, Widowed, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n44, Local-gov,354230, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,124827, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, <=50K.\n24, Private,225739, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n68, ?,188102, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, >50K.\n46, Local-gov,349986, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,112763, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Female,2597,0,40, United-States, <=50K.\n66, Private,242589, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,34, United-States, <=50K.\n21, Private,366929, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,38, United-States, <=50K.\n25, Private,154210, 11th,7, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Male,0,0,35, India, <=50K.\n31, Private,274222, 1st-4th,2, Never-married, Transport-moving, Other-relative, Other, Male,0,0,40, El-Salvador, <=50K.\n51, State-gov,166459, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,36222, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n24, Private,240063, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n31, Federal-gov,158847, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n31, Private,203488, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,45, United-States, >50K.\n54, Private,96062, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Portugal, <=50K.\n49, Self-emp-not-inc,126077, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n59, Private,162580, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Female,0,0,35, United-States, <=50K.\n76, Self-emp-not-inc,413699, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,28, United-States, <=50K.\n32, Private,303692, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n47, Self-emp-not-inc,184682, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K.\n70, Self-emp-inc,217801, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K.\n41, Private,306496, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,110171, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K.\n36, State-gov,89625, HS-grad,9, Never-married, Protective-serv, Other-relative, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n23, ?,234108, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Private,270147, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K.\n32, Self-emp-not-inc,195891, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, Iran, <=50K.\n47, Private,131160, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,99999,0,40, United-States, >50K.\n56, Private,93211, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, Canada, <=50K.\n38, Private,181661, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,56, United-States, >50K.\n74, Private,146365, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K.\n19, Private,219671, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n74, Private,203523, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2653,0,12, United-States, <=50K.\n22, ?,268145, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,137421, HS-grad,9, Married-spouse-absent, Other-service, Other-relative, Other, Male,0,0,40, Mexico, <=50K.\n31, Private,302679, 12th,8, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K.\n24, Private,421474, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,98524, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, Canada, >50K.\n27, Private,282313, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n56, Private,157786, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,55, United-States, >50K.\n40, Private,83508, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,20, United-States, <=50K.\n67, State-gov,167687, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3456,0,35, United-States, <=50K.\n45, Self-emp-not-inc,187272, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,45, South, <=50K.\n36, Federal-gov,187089, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,167625, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K.\n61, Private,190955, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n50, Private,185846, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,40, United-States, >50K.\n43, Private,55764, Some-college,10, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n69, Private,164110, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,10605,0,50, United-States, >50K.\n32, Private,117444, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n38, Self-emp-not-inc,164593, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, ?, <=50K.\n45, Private,22610, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, Private,303942, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K.\n51, Federal-gov,378126, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,1980,40, United-States, <=50K.\n38, Self-emp-inc,231491, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n36, Private,69481, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n42, Private,199018, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,255252, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Private,193871, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,38, United-States, <=50K.\n36, Private,23892, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, >50K.\n31, Private,201156, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,55, United-States, >50K.\n33, Private,171468, Some-college,10, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K.\n37, Private,255454, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,7298,0,35, Haiti, >50K.\n26, Private,207258, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n43, Self-emp-not-inc,134440, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K.\n46, Private,107737, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,193190, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n45, Private,114774, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,2258,55, United-States, <=50K.\n17, Private,507492, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, Guatemala, <=50K.\n23, Private,209955, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, Canada, <=50K.\n36, Private,298635, Bachelors,13, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, Iran, >50K.\n47, Private,175600, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,294592, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n39, Private,40955, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K.\n33, Private,268996, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n30, Private,175323, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,52, United-States, <=50K.\n22, Private,125010, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n18, ?,201871, 12th,8, Never-married, ?, Own-child, White, Male,0,0,7, United-States, <=50K.\n28, Private,203171, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,53774, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,4064,0,12, United-States, <=50K.\n29, Private,247867, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,126135, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,82067, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K.\n45, Private,224559, 10th,6, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K.\n48, Local-gov,127675, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,0,44, United-States, <=50K.\n47, Private,101825, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n48, Self-emp-not-inc,259412, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K.\n25, Private,166977, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,40, United-States, >50K.\n63, Private,546118, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K.\n42, Private,110318, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,175856, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,156763, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-inc,213897, Masters,14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,1902,40, Hong, >50K.\n24, Private,44493, Assoc-voc,11, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K.\n34, Private,201156, 11th,7, Never-married, Craft-repair, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n27, Private,375703, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n31, Private,293594, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,3770,37, Puerto-Rico, <=50K.\n44, Local-gov,183850, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, <=50K.\n27, Private,84433, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n62, ?,296485, Assoc-voc,11, Separated, ?, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n28, Private,214026, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K.\n40, Local-gov,104235, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2051,30, United-States, <=50K.\n42, Private,212894, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K.\n24, Private,446647, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K.\n56, Private,530099, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Private,42850, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K.\n43, Private,120277, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,55, United-States, <=50K.\n56, Private,146554, HS-grad,9, Separated, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n20, Private,44793, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n52, Private,182907, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n50, Private,341797, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, >50K.\n29, Private,226441, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,48988, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n32, Private,252646, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n27, ?,214695, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K.\n23, Private,189194, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Private,68021, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,117369, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n19, Private,340094, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n34, Local-gov,161113, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n23, State-gov,279243, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, <=50K.\n49, Private,110669, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n17, Private,121470, 12th,8, Never-married, Transport-moving, Own-child, White, Male,0,0,10, ?, <=50K.\n39, Private,453686, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n32, Private,281219, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,1380,40, United-States, <=50K.\n30, Private,235738, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n25, Private,272167, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n76, ?,84737, Bachelors,13, Widowed, ?, Other-relative, Asian-Pac-Islander, Male,0,0,32, China, <=50K.\n62, Private,176965, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Private,101701, Bachelors,13, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,20, United-States, <=50K.\n33, Private,22405, HS-grad,9, Separated, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,72, United-States, <=50K.\n50, Private,98815, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,46, United-States, >50K.\n43, Private,195897, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,96718, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,39, United-States, <=50K.\n67, Private,126361, 11th,7, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,9, United-States, >50K.\n27, State-gov,56365, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,20, China, <=50K.\n33, Federal-gov,344073, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,1408,50, United-States, <=50K.\n35, Private,306388, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K.\n20, Private,143604, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,2, United-States, <=50K.\n26, Private,174592, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K.\n45, Self-emp-not-inc,48553, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n23, Private,358355, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, Mexico, <=50K.\n48, Private,443377, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n28, Local-gov,229656, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1485,40, United-States, >50K.\n40, Private,115516, Masters,14, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K.\n62, Private,189665, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K.\n52, Self-emp-not-inc,105010, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,30, United-States, <=50K.\n50, Private,320510, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n43, Private,175943, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,20, United-States, <=50K.\n44, Private,89172, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,281627, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,1564,30, United-States, >50K.\n23, State-gov,1117718, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,30, United-States, <=50K.\n39, Private,108293, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Private,152035, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,38389, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,213902, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n22, Local-gov,192812, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K.\n35, Private,301911, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, Japan, >50K.\n52, Private,89041, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K.\n37, Private,96483, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,5178,0,38, United-States, >50K.\n25, Private,209970, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n27, Private,110622, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n51, State-gov,250807, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, State-gov,391257, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n26, Private,135521, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K.\n21, ?,108670, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, Private,179533, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n64, Private,250117, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,50, United-States, >50K.\n34, State-gov,101562, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n70, Self-emp-inc,223275, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,126060, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n52, State-gov,168035, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K.\n25, Private,175382, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n33, Private,170540, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Private,243240, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K.\n51, Self-emp-not-inc,381769, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,104545, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,20, United-States, <=50K.\n61, Private,74040, Bachelors,13, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,30, South, <=50K.\n41, Federal-gov,275366, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,194360, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,72, United-States, >50K.\n24, State-gov,334693, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n29, Private,146764, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n24, ?,184975, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n18, Private,336508, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K.\n60, Private,427248, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, ?,186489, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,2603,40, United-States, <=50K.\n28, Private,258364, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Local-gov,214215, 11th,7, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,50, United-States, <=50K.\n41, Self-emp-not-inc,49448, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K.\n52, Private,261198, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-inc,270535, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K.\n26, Self-emp-not-inc,218993, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K.\n48, Private,155489, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n18, ?,151866, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n47, Private,98828, HS-grad,9, Widowed, Prof-specialty, Unmarried, Other, Female,0,0,35, Puerto-Rico, <=50K.\n22, Private,233495, 9th,5, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,182203, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n38, Private,33394, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,75, United-States, >50K.\n19, ?,171583, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n34, Local-gov,80411, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,161295, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, >50K.\n49, ?,178341, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,7688,0,50, United-States, >50K.\n38, Private,311523, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Iran, <=50K.\n25, Private,315130, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,10, United-States, <=50K.\n23, Private,67311, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, Canada, <=50K.\n48, Private,44907, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n62, Private,104849, Masters,14, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, China, >50K.\n27, Private,225768, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n24, Private,186666, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n23, ?,69510, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n59, Private,171242, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n55, Private,197420, HS-grad,9, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n48, Private,224087, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n61, Self-emp-not-inc,140141, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-not-inc,175943, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,14, United-States, <=50K.\n46, Local-gov,318259, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,190027, HS-grad,9, Separated, Tech-support, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n32, Private,233838, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, <=50K.\n51, ?,117847, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,99, United-States, <=50K.\n26, Private,49092, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n39, Private,171524, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Columbia, <=50K.\n50, Private,237868, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1887,55, United-States, >50K.\n51, Self-emp-not-inc,34067, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-inc,25005, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,177437, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Local-gov,185267, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n40, Private,104397, HS-grad,9, Married-civ-spouse, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n41, Private,33331, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K.\n48, Private,29128, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n57, State-gov,328228, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,227411, Assoc-voc,11, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n27, Private,169117, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n27, Private,238267, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,10, United-States, <=50K.\n31, Private,118551, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,47541, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n45, Private,92374, Some-college,10, Never-married, Exec-managerial, Not-in-family, Other, Male,13550,0,60, India, >50K.\n61, Local-gov,224598, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,24, ?, <=50K.\n32, Private,131568, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,183319, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,43, United-States, >50K.\n41, Private,309932, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n60, Private,197311, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,99, United-States, <=50K.\n28, Private,292120, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,42, United-States, <=50K.\n49, Private,117310, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K.\n23, Private,308647, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,1887,40, United-States, >50K.\n30, Private,135785, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,179008, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n27, State-gov,205188, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K.\n26, Private,193945, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n40, State-gov,258589, Masters,14, Never-married, Craft-repair, Not-in-family, White, Male,0,0,80, United-States, <=50K.\n30, State-gov,107142, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, >50K.\n42, Private,23157, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n72, Self-emp-not-inc,47203, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,4931,0,70, United-States, <=50K.\n30, Private,279923, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n51, Private,192386, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,6849,0,40, United-States, <=50K.\n24, Private,188569, Masters,14, Never-married, Exec-managerial, Own-child, White, Female,4787,0,60, United-States, >50K.\n43, Private,68748, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n53, Private,239155, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n45, Private,165346, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,64, United-States, <=50K.\n21, Private,392082, Some-college,10, Never-married, Adm-clerical, Own-child, Other, Male,0,0,40, United-States, <=50K.\n36, Private,379522, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, Germany, <=50K.\n34, Private,109917, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,109097, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n57, State-gov,202765, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Federal-gov,125892, Masters,14, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,15024,0,40, United-States, >50K.\n30, Private,119411, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,88231, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,188561, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,191681, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,36999, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K.\n57, Private,161662, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,4650,0,40, United-States, <=50K.\n45, Local-gov,111994, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,247711, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,2258,55, United-States, <=50K.\n41, Private,271282, 11th,7, Divorced, Protective-serv, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n44, Private,314739, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n39, State-gov,195148, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,358121, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n31, Private,101266, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,278391, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,50, United-States, <=50K.\n19, Private,206751, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K.\n54, Private,161147, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,2174,0,40, United-States, <=50K.\n47, Private,301431, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n17, Private,347000, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,12, United-States, <=50K.\n39, State-gov,25806, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,48, China, <=50K.\n24, Private,181557, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n20, Private,20057, Some-college,10, Never-married, Protective-serv, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n25, Private,190107, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n39, Local-gov,30269, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,44, United-States, >50K.\n20, Private,117767, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n44, Private,406734, Masters,14, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n23, Private,236696, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,20, Iran, <=50K.\n24, Private,354691, 12th,8, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,199720, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n24, Self-emp-not-inc,31606, Bachelors,13, Married-civ-spouse, Prof-specialty, Other-relative, White, Female,0,0,20, United-States, >50K.\n45, Federal-gov,133973, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n55, Private,323639, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,74, United-States, >50K.\n21, Private,225724, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n64, Self-emp-not-inc,144391, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,34173, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,20, United-States, <=50K.\n55, Local-gov,219074, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,55, United-States, >50K.\n21, Private,379525, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,4416,0,24, United-States, <=50K.\n17, Local-gov,287160, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,7, United-States, <=50K.\n27, Private,130386, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n25, Private,409815, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n38, Private,212143, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, >50K.\n33, ?,33404, HS-grad,9, Divorced, ?, Unmarried, White, Male,0,0,48, United-States, <=50K.\n52, Private,235567, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Private,306868, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n37, Private,353550, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K.\n37, Private,107302, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K.\n65, Self-emp-not-inc,169435, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,39, United-States, >50K.\n28, Private,105817, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,68879, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n53, Self-emp-not-inc,206288, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,35, Vietnam, <=50K.\n32, Private,187936, 10th,6, Never-married, Craft-repair, Not-in-family, Black, Female,0,0,50, United-States, <=50K.\n45, Private,226081, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n49, Private,414448, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, ?, <=50K.\n34, Local-gov,79190, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, <=50K.\n39, Private,34996, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n43, Private,318415, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n45, ?,214800, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,12, United-States, <=50K.\n35, Private,148334, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,160120, Doctorate,16, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K.\n62, Self-emp-not-inc,285692, Masters,14, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n45, Private,461725, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,104329, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Private,37284, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,154374, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n17, Private,209650, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K.\n18, Private,227529, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Private,249382, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n20, Private,305781, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n55, Private,147989, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,58, United-States, <=50K.\n57, Private,207604, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,367260, Doctorate,16, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,147523, 9th,5, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, El-Salvador, <=50K.\n52, Self-emp-not-inc,193116, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, Mexico, <=50K.\n18, Private,50119, 10th,6, Never-married, Other-service, Not-in-family, Black, Male,0,0,20, United-States, <=50K.\n52, Private,262579, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n42, Private,244910, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,120902, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n55, Private,217241, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Private,65098, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K.\n17, Private,364491, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,22, United-States, <=50K.\n47, Private,209739, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,72338, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,26, United-States, <=50K.\n48, Private,215895, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,32289, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n54, Private,209464, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n69, Private,98170, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,1086,0,20, United-States, <=50K.\n40, Private,271665, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K.\n25, Private,124111, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,50, United-States, <=50K.\n82, Self-emp-not-inc,121944, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Self-emp-not-inc,121424, Bachelors,13, Separated, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n53, State-gov,33795, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,150429, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,50, United-States, >50K.\n57, Private,124771, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K.\n21, Private,204160, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,13, United-States, <=50K.\n52, Private,243616, 5th-6th,3, Separated, Craft-repair, Unmarried, Black, Female,4101,0,40, United-States, <=50K.\n45, Private,168556, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n54, Private,186224, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n69, Self-emp-not-inc,187332, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,45, United-States, >50K.\n30, Private,113433, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K.\n37, Private,268598, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K.\n60, Self-emp-inc,137733, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,44, United-States, >50K.\n55, Private,210318, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,106662, Bachelors,13, Separated, Sales, Not-in-family, White, Male,99999,0,55, United-States, >50K.\n21, Private,162667, HS-grad,9, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, Ecuador, <=50K.\n25, Private,187577, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n67, Private,89495, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,1797,0,4, United-States, <=50K.\n41, Local-gov,247082, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n53, Private,157059, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n26, Private,282643, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n68, Self-emp-not-inc,69249, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,10, United-States, >50K.\n36, Private,131766, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,3325,0,40, United-States, <=50K.\n20, Private,163665, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K.\n20, Private,165097, Some-college,10, Never-married, Exec-managerial, Other-relative, White, Male,0,2001,40, United-States, <=50K.\n35, Private,194668, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,99999,0,45, United-States, >50K.\n27, Private,116372, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,113635, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Private,162994, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,266803, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,50, Canada, >50K.\n20, Private,230482, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n51, Private,299831, Assoc-voc,11, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n30, Private,172830, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n50, Private,144084, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,55, United-States, <=50K.\n30, Local-gov,295737, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,207685, Bachelors,13, Separated, Prof-specialty, Unmarried, Black, Female,0,0,39, United-States, <=50K.\n55, Private,161423, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,52, United-States, >50K.\n53, Self-emp-not-inc,122109, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,70, United-States, <=50K.\n45, Private,215892, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,2824,50, United-States, >50K.\n45, Private,176517, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K.\n40, Self-emp-not-inc,220821, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K.\n73, Local-gov,249043, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, Cuba, <=50K.\n18, Private,58949, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n33, Private,158438, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n33, Private,154950, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,200445, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K.\n65, ?,224357, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,2290,0,4, United-States, <=50K.\n31, Federal-gov,103651, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n24, ?,316524, Bachelors,13, Never-married, ?, Other-relative, White, Female,0,0,40, United-States, <=50K.\n51, Self-emp-inc,200046, Bachelors,13, Separated, Sales, Unmarried, White, Male,0,2824,40, United-States, >50K.\n32, Private,193285, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n52, Private,146015, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,195096, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n25, Private,221078, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n45, Local-gov,186375, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Self-emp-not-inc,44983, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K.\n71, Private,29770, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K.\n63, State-gov,266565, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,27, United-States, <=50K.\n45, State-gov,235431, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n57, ?,153788, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,99999,0,45, United-States, >50K.\n47, Private,280030, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K.\n50, Self-emp-not-inc,158352, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n25, Local-gov,109972, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,45, United-States, <=50K.\n32, Private,278940, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n40, Private,174395, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n50, Private,141592, 10th,6, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n54, Private,295525, Some-college,10, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,121321, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n42, Private,198955, 9th,5, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,46, United-States, <=50K.\n27, ?,105189, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, Germany, <=50K.\n38, Private,186191, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n17, Private,208967, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K.\n47, Private,159399, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n21, ?,169600, Some-college,10, Married-spouse-absent, ?, Own-child, White, Female,0,0,35, United-States, <=50K.\n25, Private,262656, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n30, Private,284629, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,182189, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,65, United-States, >50K.\n47, Federal-gov,38819, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K.\n57, Private,191873, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,125082, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,40, United-States, <=50K.\n68, Private,67791, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n34, State-gov,334744, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,65, United-States, <=50K.\n35, Private,198841, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Local-gov,218490, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,188386, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,95661, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,45, Germany, <=50K.\n55, Self-emp-not-inc,79011, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,70, United-States, <=50K.\n72, Self-emp-not-inc,103368, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,21, United-States, <=50K.\n32, Private,119176, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,44, United-States, <=50K.\n28, Private,90928, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n61, Self-emp-inc,218009, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n44, Self-emp-not-inc,460259, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n35, Local-gov,405284, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K.\n48, Self-emp-not-inc,26502, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n49, Federal-gov,157569, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,46, United-States, <=50K.\n32, Private,252168, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,35, United-States, <=50K.\n26, Federal-gov,269353, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, Other, Male,0,0,55, United-States, <=50K.\n56, Self-emp-not-inc,52822, Bachelors,13, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n71, ?,365996, HS-grad,9, Widowed, ?, Unmarried, White, Female,6612,0,42, United-States, >50K.\n24, State-gov,147548, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n42, Local-gov,216411, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, Puerto-Rico, >50K.\n37, State-gov,122493, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,55, United-States, >50K.\n57, Private,41680, Some-college,10, Divorced, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n48, Local-gov,100818, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,7443,0,45, United-States, <=50K.\n39, Private,30056, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n20, Self-emp-inc,83141, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, Private,178768, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n68, Self-emp-not-inc,376957, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,6, United-States, <=50K.\n33, Private,194740, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,160728, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n62, ?,198170, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,4, United-States, <=50K.\n20, Private,200967, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K.\n42, State-gov,116493, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, <=50K.\n64, ?,117349, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K.\n42, Private,188615, Some-college,10, Separated, Prof-specialty, Not-in-family, White, Male,0,2231,50, Canada, >50K.\n47, Private,849067, 12th,8, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n40, Private,193459, Assoc-acdm,12, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Outlying-US(Guam-USVI-etc), <=50K.\n51, State-gov,177487, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n26, Private,151971, Some-college,10, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,35, United-States, <=50K.\n32, Self-emp-inc,169152, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,10520,0,80, Greece, >50K.\n59, Private,108929, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n36, Private,290861, 11th,7, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,168826, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n45, Private,216414, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K.\n38, Private,324053, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n55, State-gov,197399, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,138069, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n59, Private,184553, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n31, Private,328734, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n29, Private,336167, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n34, Private,195748, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Black, Female,0,0,38, United-States, <=50K.\n53, Private,590941, Doctorate,16, Never-married, Prof-specialty, Unmarried, White, Female,0,1408,40, United-States, <=50K.\n43, Private,211580, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n52, ?,73117, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,38, United-States, <=50K.\n45, Private,166863, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,141350, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n28, Private,133937, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,55, United-States, >50K.\n44, Private,282192, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,60, United-States, <=50K.\n32, Private,237582, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n29, Private,262758, Assoc-acdm,12, Never-married, Other-service, Unmarried, Black, Male,0,625,60, United-States, <=50K.\n48, Self-emp-inc,188694, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n40, Local-gov,104196, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,172232, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n29, Self-emp-not-inc,103432, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n65, Private,183544, 9th,5, Widowed, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n41, Private,276289, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,60, ?, <=50K.\n58, Private,111209, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n30, Private,176862, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,201229, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n42, Private,186689, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,60, United-States, <=50K.\n31, Private,177675, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n38, Federal-gov,337505, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K.\n53, Private,156148, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Self-emp-inc,209642, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,99999,0,55, United-States, >50K.\n62, Private,159474, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n37, Private,75073, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n56, Self-emp-not-inc,121362, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,40, United-States, >50K.\n21, Private,321369, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n43, ?,49665, HS-grad,9, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Male,0,0,45, United-States, <=50K.\n44, Private,219155, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,329144, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K.\n40, Local-gov,161475, HS-grad,9, Married-civ-spouse, Protective-serv, Wife, Black, Female,0,0,75, United-States, <=50K.\n70, Self-emp-inc,99554, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,277488, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Local-gov,286352, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n26, Private,109457, 10th,6, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,48, United-States, <=50K.\n33, Private,236304, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,60, United-States, >50K.\n35, Private,399601, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n42, State-gov,396758, Some-college,10, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n37, Private,21798, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n21, ?,278130, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n17, Private,192173, 9th,5, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n40, Private,43546, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,48, United-States, <=50K.\n20, Private,87546, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n69, Private,135891, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,7, United-States, >50K.\n32, Private,312923, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n21, Private,33432, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,8, United-States, <=50K.\n25, Private,270379, HS-grad,9, Never-married, Tech-support, Other-relative, Black, Female,0,0,35, United-States, <=50K.\n17, Private,134829, 11th,7, Never-married, Other-service, Own-child, White, Male,2176,0,20, United-States, <=50K.\n40, Federal-gov,155106, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, >50K.\n19, ?,145989, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,45, United-States, <=50K.\n50, Local-gov,270221, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,43, United-States, >50K.\n24, Private,123226, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,154641, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n73, Private,145570, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K.\n54, Private,229983, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n68, Self-emp-not-inc,140892, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,15, United-States, <=50K.\n45, Local-gov,278303, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n66, Private,127139, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n32, Self-emp-not-inc,360689, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n24, Private,19513, HS-grad,9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n56, Private,50490, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n50, Self-emp-not-inc,34067, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K.\n48, Private,359808, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, >50K.\n28, Private,105422, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n49, Private,28171, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,4787,0,40, United-States, >50K.\n59, State-gov,49230, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,165107, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n20, Private,112706, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,39, United-States, <=50K.\n56, Private,28297, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,104748, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n21, Private,129137, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,1055,0,35, United-States, <=50K.\n30, Private,298871, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1887,45, Iran, >50K.\n30, Local-gov,229716, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n31, Self-emp-inc,113752, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n32, Self-emp-not-inc,198739, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Local-gov,277256, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,114937, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n57, Private,206206, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n19, Private,197861, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,15, United-States, <=50K.\n19, Private,38925, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,34309, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n24, Private,219122, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, Italy, <=50K.\n41, Self-emp-not-inc,51494, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,173422, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n20, ?,116773, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, ?, <=50K.\n33, Private,252340, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,213799, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K.\n32, Local-gov,110100, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n53, Private,146325, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,383352, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n33, Private,369258, Bachelors,13, Never-married, Handlers-cleaners, Other-relative, White, Female,0,0,40, Mexico, <=50K.\n49, Private,239865, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K.\n52, Private,200783, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K.\n40, Private,243580, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K.\n36, Private,132563, Prof-school,15, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,15, United-States, >50K.\n41, Self-emp-not-inc,390369, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,58, United-States, >50K.\n25, Private,403788, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,36, United-States, <=50K.\n26, State-gov,68346, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,10, ?, <=50K.\n59, Private,136413, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Federal-gov,208791, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, <=50K.\n21, Private,572285, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K.\n45, Private,90992, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n18, Private,156056, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K.\n20, Private,194102, Some-college,10, Never-married, Prof-specialty, Other-relative, White, Male,0,0,12, United-States, <=50K.\n42, Private,149102, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n41, Private,40151, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n40, Private,356934, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,45, United-States, >50K.\n28, Federal-gov,72514, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,72, United-States, <=50K.\n47, Local-gov,174126, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n31, Private,324386, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,159544, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n34, Private,114691, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n49, Private,222829, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K.\n63, Private,298699, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,216845, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, Mexico, <=50K.\n44, Private,321824, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K.\n56, Private,97541, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K.\n30, Private,329425, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Self-emp-inc,148287, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n51, Local-gov,251346, 9th,5, Married-civ-spouse, Other-service, Wife, White, Female,0,0,38, Puerto-Rico, <=50K.\n30, Private,143766, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n56, Private,49647, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n50, Private,233363, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n54, Local-gov,180427, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n46, Private,30111, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K.\n27, Private,360527, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,135803, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n60, Federal-gov,608441, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n42, Local-gov,720428, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K.\n36, Private,269784, 10th,6, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K.\n30, Private,423311, HS-grad,9, Married-AF-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n43, Private,343591, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n29, Private,37088, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, ?,154430, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n22, Private,113588, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,1741,30, United-States, <=50K.\n46, Private,190072, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,272132, Prof-school,15, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,65, ?, <=50K.\n44, Federal-gov,32000, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n30, Self-emp-inc,164190, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,2258,45, United-States, <=50K.\n17, Private,233781, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,18, United-States, <=50K.\n23, Private,401762, 11th,7, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Self-emp-not-inc,169186, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Private,164309, 11th,7, Separated, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K.\n24, Private,170800, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,37, United-States, <=50K.\n32, Private,37232, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,373403, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,192014, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n48, Self-emp-not-inc,172034, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n36, Local-gov,322770, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,1887,40, Jamaica, >50K.\n39, Private,269168, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, China, >50K.\n34, Private,302570, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,36, United-States, <=50K.\n35, Private,103710, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Self-emp-not-inc,113364, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K.\n33, Private,121966, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n35, Private,416745, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K.\n30, Local-gov,154548, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,65, United-States, <=50K.\n45, Private,188794, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,156266, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n61, ?,270599, 1st-4th,2, Widowed, ?, Not-in-family, White, Female,0,0,18, Mexico, <=50K.\n36, Private,19914, Some-college,10, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n31, Private,246439, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Male,0,0,45, United-States, <=50K.\n38, Private,101833, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,40, United-States, >50K.\n32, Private,177695, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,45, India, <=50K.\n23, Private,167868, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,24, United-States, <=50K.\n22, Private,82561, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,31848, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n45, ?,117310, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,355918, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n38, Private,49115, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,102875, 11th,7, Married-civ-spouse, Handlers-cleaners, Own-child, Black, Male,0,0,20, United-States, <=50K.\n67, ?,194456, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n52, Self-emp-not-inc,284648, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,99, United-States, >50K.\n52, Self-emp-not-inc,73134, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,172600, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,10520,0,50, United-States, >50K.\n61, ?,244856, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,4386,0,40, United-States, >50K.\n25, Private,184303, 7th-8th,4, Never-married, Priv-house-serv, Other-relative, White, Female,0,0,40, Guatemala, <=50K.\n25, State-gov,154610, Bachelors,13, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Female,0,1719,15, United-States, <=50K.\n33, Private,260560, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,360770, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, Dominican-Republic, <=50K.\n24, Private,315877, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n58, Private,128258, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n33, Private,179336, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Self-emp-inc,168165, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,109015, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,1876,40, United-States, <=50K.\n22, Private,89154, 1st-4th,2, Never-married, Other-service, Other-relative, White, Male,0,0,40, El-Salvador, <=50K.\n30, ?,260954, 7th-8th,4, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,85399, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,240841, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K.\n20, Private,119742, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K.\n24, Private,30656, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K.\n30, Local-gov,263561, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,108838, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,259351, HS-grad,9, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K.\n42, Private,159449, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Self-emp-not-inc,195322, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K.\n38, Self-emp-not-inc,179481, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n40, State-gov,195388, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,123429, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Federal-gov,116580, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K.\n21, Private,270043, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,25, United-States, <=50K.\n49, Self-emp-not-inc,232586, Bachelors,13, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n52, Private,164519, HS-grad,9, Widowed, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n33, Self-emp-not-inc,141118, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,55, United-States, >50K.\n27, Private,177955, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, Mexico, <=50K.\n45, Local-gov,149337, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Italy, >50K.\n45, Private,68896, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,48, ?, <=50K.\n27, Private,22422, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K.\n41, Private,215453, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,43, Mexico, <=50K.\n30, Local-gov,170772, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,36011, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,2057,45, United-States, <=50K.\n35, Private,133839, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n48, Federal-gov,50567, Some-college,10, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Self-emp-inc,203233, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,99, United-States, >50K.\n46, Private,187510, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n24, Federal-gov,290625, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,41, United-States, <=50K.\n39, Private,127573, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K.\n27, Private,50316, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,169473, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n46, Private,25894, Doctorate,16, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, India, >50K.\n44, Private,106900, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n43, Private,157473, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,48, United-States, >50K.\n31, Private,122612, Masters,14, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,25, Japan, >50K.\n17, Private,132187, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K.\n25, ?,52151, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K.\n31, Private,212705, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,436361, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,20, United-States, >50K.\n38, Private,184456, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,50, Greece, <=50K.\n69, Local-gov,142297, 10th,6, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,17, United-States, <=50K.\n60, Federal-gov,54701, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n34, Private,245211, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Poland, >50K.\n50, Private,98975, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,40, United-States, >50K.\n31, Private,463601, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n26, Private,297991, Bachelors,13, Married-civ-spouse, Sales, Not-in-family, Asian-Pac-Islander, Female,0,1977,75, Cambodia, >50K.\n36, Private,196554, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K.\n23, Private,113511, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n17, Private,152710, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n30, Private,147171, Some-college,10, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, Trinadad&Tobago, <=50K.\n54, Private,52724, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, Private,177482, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n58, Private,219537, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n33, Private,350106, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,34, United-States, <=50K.\n30, Private,197947, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n21, Private,253583, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K.\n26, Private,58751, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n29, Private,206889, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Private,151399, 12th,8, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n40, Local-gov,50563, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,55, United-States, >50K.\n31, Private,63861, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,34, United-States, <=50K.\n47, Private,165517, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n59, ?,43103, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n21, ?,123983, Some-college,10, Never-married, ?, Own-child, Other, Male,0,0,20, United-States, <=50K.\n45, Self-emp-not-inc,32172, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n30, Private,192644, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n52, Self-emp-inc,230919, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n68, Private,115772, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Scotland, <=50K.\n66, Self-emp-not-inc,51687, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K.\n26, Private,191803, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,170721, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n20, ?,132053, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,170842, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n22, ?,51973, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n21, ?,72621, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,45, United-States, <=50K.\n20, State-gov,205895, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n53, Self-emp-inc,99185, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,80, Greece, <=50K.\n30, Private,149726, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,7688,0,40, United-States, >50K.\n38, Private,372525, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K.\n21, Private,165107, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n47, Local-gov,273767, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n61, Private,227266, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n49, Federal-gov,89334, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,199202, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,326587, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,144351, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K.\n56, Federal-gov,119254, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n62, Private,193881, Masters,14, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n77, Private,271000, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n17, ?,74685, 10th,6, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n34, Private,123291, 10th,6, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n33, Local-gov,557359, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n25, Private,197403, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,184245, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, Columbia, <=50K.\n21, Private,92898, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n51, Private,105788, 5th-6th,3, Separated, Other-service, Unmarried, Black, Female,0,0,40, Scotland, <=50K.\n22, ?,205940, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n45, Private,212120, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K.\n35, Private,351772, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K.\n33, Private,309582, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,7298,0,50, United-States, >50K.\n28, Private,244650, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,1602,25, United-States, <=50K.\n58, Self-emp-not-inc,290670, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n64, Self-emp-not-inc,167877, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n37, Private,454024, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Black, Female,0,0,35, United-States, <=50K.\n28, Private,125531, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n22, Private,220603, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n59, Private,180645, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,98725, 10th,6, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,60, United-States, <=50K.\n46, Private,431515, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,122612, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, South, <=50K.\n23, Federal-gov,190290, HS-grad,9, Never-married, Armed-Forces, Own-child, White, Male,0,0,40, United-States, <=50K.\n76, Private,174839, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,9386,0,25, United-States, >50K.\n46, Federal-gov,83610, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n50, Private,273534, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K.\n26, Private,383885, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,50, United-States, <=50K.\n19, Private,188618, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,24, United-States, <=50K.\n35, Private,95653, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,56, United-States, <=50K.\n61, Private,204908, 11th,7, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,36, United-States, <=50K.\n41, Private,221172, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,97723, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n32, Private,200401, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, Columbia, <=50K.\n41, State-gov,205153, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n38, Private,170174, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n58, Federal-gov,26947, Bachelors,13, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n17, ?,154938, 11th,7, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n62, Private,125832, 9th,5, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n25, Self-emp-not-inc,150361, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Local-gov,113183, Masters,14, Divorced, Prof-specialty, Not-in-family, Other, Female,0,0,40, United-States, <=50K.\n23, Private,39551, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K.\n18, ?,62854, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n61, ?,31285, 7th-8th,4, Separated, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Private,199217, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n47, Local-gov,40690, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,315671, 7th-8th,4, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K.\n23, Private,180339, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,119545, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n23, Private,195508, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n31, Private,364657, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n49, Federal-gov,168598, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, >50K.\n33, Private,178683, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013,0,40, United-States, <=50K.\n27, Private,123116, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2057,49, United-States, <=50K.\n33, Private,251117, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n35, Local-gov,42893, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,5721,0,40, United-States, <=50K.\n19, Private,386492, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K.\n31, Private,249869, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,116219, Some-college,10, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n33, Private,168981, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n67, ?,137894, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,16, United-States, >50K.\n19, State-gov,139091, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K.\n25, Private,219199, 11th,7, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,191455, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,10, United-States, <=50K.\n39, Private,325374, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K.\n77, ?,180425, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K.\n43, Private,149871, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n30, Private,342730, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n41, Private,252392, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n60, Private,193864, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Self-emp-inc,139364, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,35, United-States, >50K.\n20, Private,253612, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n34, Private,287168, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K.\n17, Private,364952, 10th,6, Married-spouse-absent, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K.\n45, Private,82797, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n31, Private,100135, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n54, Local-gov,287831, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,55, United-States, >50K.\n41, Self-emp-not-inc,140108, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,30, United-States, <=50K.\n19, Private,180917, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n51, Private,29036, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,221581, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n63, Local-gov,382882, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,237091, HS-grad,9, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female,0,0,20, Columbia, <=50K.\n19, Private,134252, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K.\n29, Private,269354, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n58, Private,226922, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,2907,0,43, United-States, <=50K.\n37, Self-emp-not-inc,191841, Bachelors,13, Divorced, Other-service, Unmarried, White, Female,0,0,48, United-States, <=50K.\n28, Private,37805, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,590522, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2002,45, United-States, <=50K.\n51, Private,202752, 12th,8, Separated, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n34, ?,304872, Some-college,10, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,228075, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Private,163831, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,32326, Bachelors,13, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, >50K.\n40, Private,179809, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n35, Private,76878, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Italy, <=50K.\n44, Federal-gov,210492, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n56, Private,105582, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, >50K.\n44, Private,160369, Some-college,10, Married-civ-spouse, Priv-house-serv, Husband, White, Male,0,0,2, United-States, <=50K.\n27, Private,364986, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n56, ?,169278, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n52, Local-gov,76081, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n27, State-gov,234135, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Self-emp-inc,187693, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,80, United-States, >50K.\n32, Private,188362, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,235271, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,86, United-States, >50K.\n34, Private,51854, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,103772, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n55, Federal-gov,300670, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, >50K.\n45, Private,175990, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K.\n43, Private,173590, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n38, State-gov,156866, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Other, Male,0,0,40, United-States, >50K.\n56, Private,71388, 9th,5, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n40, Private,228659, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K.\n55, Self-emp-not-inc,110844, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K.\n52, Private,149908, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,25236,0,44, United-States, >50K.\n28, Private,93021, 5th-6th,3, Never-married, Machine-op-inspct, Unmarried, Other, Female,0,0,40, ?, <=50K.\n19, Local-gov,273187, HS-grad,9, Never-married, Protective-serv, Own-child, White, Female,0,0,36, United-States, <=50K.\n19, Private,62419, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n24, Private,218957, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,24, ?, <=50K.\n48, Private,182715, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K.\n29, Private,157103, Assoc-voc,11, Never-married, Tech-support, Own-child, Black, Male,0,1974,40, United-States, <=50K.\n54, Private,133963, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,20, United-States, <=50K.\n26, Private,151724, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n58, Private,196502, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n37, Self-emp-inc,199816, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,413365, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n65, Private,195568, Some-college,10, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n43, Private,186245, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n33, Private,279231, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K.\n55, Federal-gov,171870, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,46, United-States, >50K.\n32, Private,127651, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,46, United-States, >50K.\n56, Self-emp-not-inc,289605, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,130856, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n34, State-gov,49539, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n39, Self-emp-not-inc,263081, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,50, United-States, <=50K.\n56, Local-gov,205759, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,358655, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n51, Private,186299, Preschool,1, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n47, Private,289517, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,105686, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n58, Local-gov,81132, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,80, Philippines, >50K.\n25, Private,68302, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,443546, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n34, Self-emp-not-inc,195891, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, ?, >50K.\n35, Private,99462, HS-grad,9, Divorced, Tech-support, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n36, Private,224541, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n70, ?,262502, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,1844,24, United-States, <=50K.\n41, Private,118921, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,60, United-States, <=50K.\n46, Private,155489, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n38, Self-emp-not-inc,248919, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,27828,0,35, United-States, >50K.\n47, Private,139268, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,27828,0,38, United-States, >50K.\n43, Self-emp-not-inc,245056, Preschool,1, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, Haiti, <=50K.\n39, Private,433592, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,45, United-States, >50K.\n29, Private,336624, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,40, United-States, >50K.\n47, Private,177858, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,27828,0,60, United-States, >50K.\n37, Private,207066, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, Private,56750, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n67, Private,110331, 9th,5, Divorced, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K.\n40, Private,84801, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n53, Local-gov,175897, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,369027, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,37, United-States, <=50K.\n56, Private,170411, HS-grad,9, Divorced, Protective-serv, Own-child, White, Male,4101,0,38, United-States, <=50K.\n47, Private,171751, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,61518, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n31, Private,214235, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K.\n42, ?,56483, Some-college,10, Married-AF-spouse, ?, Wife, White, Female,0,0,14, United-States, <=50K.\n44, Private,154993, Some-college,10, Separated, Craft-repair, Unmarried, White, Female,0,0,55, United-States, <=50K.\n33, Private,160594, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K.\n22, Private,258298, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K.\n52, Private,192666, 12th,8, Separated, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n33, Private,156602, Bachelors,13, Never-married, Sales, Own-child, White, Male,3325,0,43, United-States, <=50K.\n31, Private,122116, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n75, Local-gov,73433, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,2467,40, Canada, <=50K.\n50, Private,99185, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Private,203828, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K.\n58, Local-gov,101480, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Self-emp-inc,134815, 9th,5, Never-married, Craft-repair, Unmarried, White, Male,0,625,40, United-States, <=50K.\n36, State-gov,235195, Some-college,10, Separated, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K.\n26, Private,93169, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n58, Local-gov,36091, Masters,14, Never-married, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n57, Private,124318, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,45, United-States, <=50K.\n46, Self-emp-inc,188861, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,1564,50, United-States, >50K.\n29, Private,194402, Masters,14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,42, ?, <=50K.\n42, Self-emp-not-inc,54651, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Cuba, >50K.\n34, Private,169496, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n57, Private,34366, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n35, State-gov,213076, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Local-gov,161132, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,56, United-States, <=50K.\n46, Private,479406, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1672,40, United-States, <=50K.\n39, Private,115618, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n25, Self-emp-inc,158033, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n43, Private,108682, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,430195, 11th,7, Separated, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n46, Local-gov,138107, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K.\n27, Private,215014, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,183279, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n68, Self-emp-not-inc,119056, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,24, United-States, >50K.\n52, Private,158583, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n26, Private,242464, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n27, Private,35204, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K.\n52, Private,233149, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K.\n54, Private,182855, 7th-8th,4, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,189346, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n39, Private,82726, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n38, Private,179481, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n19, Private,167428, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K.\n22, Private,182117, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n58, Private,162970, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1977,60, United-States, >50K.\n39, Private,421633, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n20, State-gov,231931, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,132749, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n22, Private,254351, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n31, State-gov,152109, Assoc-voc,11, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,100479, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n53, Local-gov,222405, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n32, Private,117028, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,91163, HS-grad,9, Separated, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n36, Private,150104, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n39, Private,114605, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,348152, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,174463, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K.\n47, Private,180243, Bachelors,13, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K.\n31, Private,238816, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,275848, 12th,8, Never-married, Sales, Other-relative, White, Female,0,0,16, United-States, <=50K.\n51, Private,114520, HS-grad,9, Divorced, Sales, Unmarried, White, Male,0,0,16, United-States, <=50K.\n34, State-gov,275880, Bachelors,13, Separated, Exec-managerial, Unmarried, Black, Female,0,0,38, United-States, <=50K.\n39, Private,188148, Some-college,10, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,48, United-States, <=50K.\n42, Private,112494, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,35, United-States, >50K.\n17, ?,159771, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,6, England, <=50K.\n27, Private,278736, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n20, ?,354351, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K.\n33, Private,252257, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n62, ?,128230, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,48, United-States, >50K.\n27, Private,321456, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-inc,200825, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n19, Private,86143, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,20, Philippines, <=50K.\n40, State-gov,353687, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n43, Local-gov,212847, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n60, Private,154589, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,35, United-States, >50K.\n42, Private,183765, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Private,186672, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K.\n50, Private,249096, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n27, Private,190784, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,45, United-States, <=50K.\n25, Private,144516, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,124993, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, >50K.\n24, Private,111376, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,300838, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K.\n28, Private,359049, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,1092,60, United-States, <=50K.\n36, ?,100669, HS-grad,9, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,25, United-States, <=50K.\n46, Self-emp-not-inc,366089, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n19, Private,110998, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n23, Private,60409, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n55, Private,129263, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n48, Private,219967, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,171540, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Local-gov,61708, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,294760, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,209280, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,31, United-States, <=50K.\n31, Private,208881, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n17, Private,191535, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,7, United-States, <=50K.\n31, Private,143851, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n51, Private,161599, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, ?, <=50K.\n20, Self-emp-not-inc,428299, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,199366, 10th,6, Married-spouse-absent, Craft-repair, Own-child, White, Male,0,0,16, United-States, <=50K.\n34, Local-gov,484911, HS-grad,9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n37, Private,390243, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,45, United-States, <=50K.\n55, Self-emp-not-inc,204502, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K.\n32, Self-emp-not-inc,114419, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n49, Private,79436, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, <=50K.\n54, Private,141272, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n62, Local-gov,123749, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,101173, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,35, United-States, <=50K.\n49, Private,39518, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,250038, 9th,5, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n59, Self-emp-inc,165695, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, >50K.\n48, Local-gov,225594, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n21, State-gov,51979, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,11, United-States, <=50K.\n31, Private,177675, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n37, Private,199739, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,27408, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n28, Private,110169, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,3, United-States, <=50K.\n39, Self-emp-not-inc,179488, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n30, Private,118551, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, >50K.\n71, Self-emp-not-inc,157845, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K.\n37, Self-emp-not-inc,68899, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n53, Private,58535, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,191503, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K.\n34, Private,113364, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K.\n34, Self-emp-not-inc,204742, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,62, United-States, <=50K.\n21, Private,163870, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, ?, <=50K.\n53, Private,208122, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,60, United-States, >50K.\n46, Local-gov,174361, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,265077, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,1055,0,10, United-States, <=50K.\n50, Private,241648, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n30, Private,94145, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n32, Private,178449, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n23, Private,236804, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n53, Self-emp-not-inc,187830, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,35, United-States, >50K.\n41, Private,66208, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K.\n42, Private,219155, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K.\n38, Private,99146, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K.\n45, Private,142889, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,44, United-States, <=50K.\n56, Private,136164, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,154410, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n65, Private,113293, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,195096, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n42, Private,172641, 7th-8th,4, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n43, Private,265072, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,2258,50, United-States, >50K.\n22, Private,305874, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n51, Private,312446, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,37, United-States, >50K.\n21, Private,391312, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K.\n32, Private,234976, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, <=50K.\n19, Private,199495, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n53, Private,98561, HS-grad,9, Widowed, Tech-support, Not-in-family, White, Male,0,0,39, United-States, >50K.\n43, Private,176452, 9th,5, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,50, ?, >50K.\n17, Private,188996, 9th,5, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n46, State-gov,171926, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,7430,0,50, United-States, >50K.\n45, Local-gov,310260, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n52, Private,72257, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Self-emp-not-inc,86643, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n18, Private,115815, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n53, Private,227475, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Local-gov,324550, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n37, Private,138105, HS-grad,9, Separated, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K.\n19, Private,146189, 11th,7, Never-married, Sales, Unmarried, Amer-Indian-Eskimo, Male,0,0,43, United-States, <=50K.\n25, Private,478836, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n57, Private,513440, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Mexico, <=50K.\n19, Private,151806, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Private,363253, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, ?, >50K.\n54, Self-emp-inc,263925, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n29, Private,57617, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K.\n32, Private,208761, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n49, Private,169092, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, ?, <=50K.\n34, Private,173854, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,27828,0,60, United-States, >50K.\n46, Local-gov,116906, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,2258,35, United-States, <=50K.\n43, Private,163769, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, Federal-gov,72630, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,14084,0,55, United-States, >50K.\n58, ?,141409, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n67, Private,24968, 9th,5, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,118514, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, ?,116834, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K.\n42, Self-emp-not-inc,99185, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n32, Private,121769, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Private,160271, 7th-8th,4, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,123429, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, <=50K.\n24, Private,744929, HS-grad,9, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K.\n21, Private,143604, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K.\n36, Private,284582, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, ?,229363, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,4, United-States, <=50K.\n53, Private,161482, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n24, Self-emp-not-inc,107452, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n38, State-gov,534775, Some-college,10, Never-married, Tech-support, Unmarried, Black, Female,0,0,50, United-States, <=50K.\n51, Private,183200, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, <=50K.\n42, Private,169980, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,50, United-States, >50K.\n22, Private,299047, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K.\n53, Private,92475, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n51, Private,114758, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K.\n65, Self-emp-not-inc,55894, Prof-school,15, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,98466, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n39, Private,170174, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Male,14344,0,40, United-States, >50K.\n54, Private,335177, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,45, ?, <=50K.\n24, Private,511231, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n32, Local-gov,257849, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Local-gov,208751, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n36, Private,383566, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, England, >50K.\n47, ?,214605, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n40, State-gov,243664, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K.\n41, Private,176716, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n38, Private,366618, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-inc,83748, Some-college,10, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,70, South, <=50K.\n64, Private,278585, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n47, Private,106942, 7th-8th,4, Separated, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n22, Private,372898, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n48, Private,183610, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Private,106061, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K.\n58, State-gov,138130, HS-grad,9, Never-married, Tech-support, Own-child, Black, Female,0,0,40, United-States, <=50K.\n48, Private,43479, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013,0,40, United-States, <=50K.\n49, Private,118520, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n34, Federal-gov,207284, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n43, State-gov,598995, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,3103,0,40, United-States, >50K.\n50, State-gov,141608, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K.\n31, Private,230912, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n31, Private,309170, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n57, Private,27459, HS-grad,9, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-not-inc,266674, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,56, United-States, >50K.\n52, Private,93127, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, United-States, <=50K.\n43, Self-emp-inc,27444, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,40, United-States, >50K.\n30, Private,131415, Bachelors,13, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n54, Private,105428, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1741,40, United-States, <=50K.\n36, Private,139364, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,10520,0,40, Ireland, >50K.\n43, Private,236936, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,47, United-States, >50K.\n35, Private,109204, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,456592, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,37, United-States, <=50K.\n34, Self-emp-not-inc,173201, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, Cuba, <=50K.\n19, ?,183408, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n51, Private,111721, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K.\n39, Private,268258, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, Black, Male,7688,0,50, United-States, >50K.\n59, Private,128258, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n46, Self-emp-not-inc,525848, 11th,7, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,48, United-States, <=50K.\n39, Private,124090, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n67, Private,249043, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,6767,0,40, United-States, <=50K.\n38, Private,119098, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n70, ?,30772, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Local-gov,49414, Some-college,10, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n30, Private,197886, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, >50K.\n39, Without-pay,334291, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n21, ?,171156, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n78, ?,109498, 9th,5, Widowed, ?, Unmarried, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-not-inc,83411, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,40, United-States, >50K.\n47, Local-gov,209968, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K.\n20, Private,223921, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n52, Local-gov,133403, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n50, Private,75763, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K.\n34, Private,200401, HS-grad,9, Separated, Transport-moving, Own-child, White, Male,0,0,25, Columbia, <=50K.\n45, Private,55272, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Local-gov,194970, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n38, Self-emp-not-inc,143385, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,80, United-States, <=50K.\n30, Private,180317, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, Private,255176, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n37, Local-gov,175120, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n38, Self-emp-inc,66687, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,50, Portugal, >50K.\n27, Federal-gov,115705, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,50, United-States, >50K.\n17, ?,197732, 11th,7, Never-married, ?, Own-child, White, Female,0,0,20, England, <=50K.\n32, Private,111883, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,210474, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n26, Private,123472, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n24, Private,257621, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,341943, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n57, Private,181242, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n40, Federal-gov,187164, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, Private,308365, HS-grad,9, Never-married, Craft-repair, Other-relative, Black, Male,0,0,38, United-States, <=50K.\n53, Self-emp-not-inc,263439, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n23, Private,442359, HS-grad,9, Never-married, Sales, Own-child, White, Female,8614,0,15, United-States, >50K.\n54, Self-emp-not-inc,166368, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n21, Private,116968, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,2597,0,40, United-States, <=50K.\n26, Private,57593, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,247507, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,43, United-States, <=50K.\n38, Private,213512, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n19, Private,71691, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K.\n28, ?,147719, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,48, India, <=50K.\n40, Private,244835, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K.\n21, ?,285830, HS-grad,9, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,20, Laos, <=50K.\n37, Private,386461, 5th-6th,3, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,45, Mexico, <=50K.\n41, Private,154714, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,281401, 5th-6th,3, Divorced, Sales, Other-relative, White, Female,0,0,32, Mexico, <=50K.\n35, Private,189251, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Iran, <=50K.\n39, State-gov,102729, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,327766, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,55, United-States, >50K.\n29, Private,168479, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n54, Private,249352, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n24, Private,300008, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n32, Private,296466, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K.\n47, Private,199277, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, Portugal, >50K.\n36, Private,174242, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n63, Private,130968, 9th,5, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n25, Private,288440, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K.\n36, Private,208358, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n40, Self-emp-not-inc,458168, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n23, Private,37894, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,107410, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n24, ?,96844, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n53, Private,402016, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,52, United-States, >50K.\n60, Private,258869, Doctorate,16, Separated, Priv-house-serv, Unmarried, White, Female,0,0,30, Nicaragua, <=50K.\n35, Private,114087, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,5013,0,40, United-States, <=50K.\n33, Private,116294, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, >50K.\n21, Private,241523, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, ?,163053, 10th,6, Never-married, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n18, Never-worked,162908, 11th,7, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K.\n45, State-gov,310049, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K.\n37, Private,293475, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n60, Local-gov,169015, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,325762, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n37, Self-emp-not-inc,101561, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K.\n41, State-gov,52131, HS-grad,9, Divorced, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n30, Private,163867, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,204663, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,3325,0,40, United-States, <=50K.\n18, ?,233136, 11th,7, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n61, Self-emp-not-inc,48846, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n30, Private,264351, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, Ecuador, <=50K.\n41, Private,190205, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n29, Private,254450, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Self-emp-not-inc,29974, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,10520,0,45, United-States, >50K.\n53, Federal-gov,40641, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n73, Self-emp-not-inc,256401, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,28, United-States, >50K.\n25, Private,203833, 10th,6, Never-married, Farming-fishing, Not-in-family, Black, Male,0,0,35, Haiti, <=50K.\n30, Private,277455, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,176335, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,394690, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, State-gov,71996, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,52, United-States, <=50K.\n73, Self-emp-not-inc,110787, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,1409,0,2, United-States, <=50K.\n37, State-gov,157641, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n72, Private,164724, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,28, United-States, <=50K.\n30, Self-emp-not-inc,173792, Some-college,10, Separated, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n23, Private,163595, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,132412, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, ?, <=50K.\n22, Private,193089, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,43, United-States, <=50K.\n28, Private,190525, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,175878, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K.\n21, Private,161902, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,211494, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,40, ?, >50K.\n42, Private,89003, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K.\n31, Private,344200, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,62345, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K.\n35, Private,85799, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, ?,26754, Bachelors,13, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,10, China, <=50K.\n26, Private,193347, Some-college,10, Divorced, Sales, Own-child, White, Female,0,0,28, United-States, <=50K.\n45, Self-emp-not-inc,176814, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,3411,0,40, United-States, <=50K.\n27, Private,336162, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n39, Private,98975, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,8614,0,50, United-States, >50K.\n71, Private,150943, Bachelors,13, Widowed, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K.\n22, Local-gov,131573, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,25, United-States, <=50K.\n51, Private,138852, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n48, Private,35406, Assoc-voc,11, Separated, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n48, Private,167159, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,80680, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,64, United-States, <=50K.\n55, Self-emp-inc,87584, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,10, United-States, <=50K.\n33, Private,56121, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n35, Private,284358, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,224969, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,209034, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n33, ?,177733, 7th-8th,4, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n19, Private,57366, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K.\n23, Private,35633, 7th-8th,4, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,191177, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n75, Private,199826, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,36, United-States, >50K.\n54, Self-emp-not-inc,94323, 9th,5, Married-civ-spouse, Craft-repair, Wife, Amer-Indian-Eskimo, Female,0,2163,15, United-States, <=50K.\n60, ?,380268, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n90, Private,272752, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K.\n34, Private,228386, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, Black, Female,0,0,70, United-States, <=50K.\n20, Private,187149, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Female,0,0,40, United-States, <=50K.\n24, Local-gov,335439, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n24, Private,250630, Bachelors,13, Never-married, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K.\n45, Local-gov,272182, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,5013,0,40, United-States, <=50K.\n29, Private,108574, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K.\n47, State-gov,185400, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,406641, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K.\n29, Private,103634, HS-grad,9, Never-married, Protective-serv, Unmarried, White, Male,0,0,35, United-States, <=50K.\n46, Private,261059, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n66, Private,199374, Masters,14, Widowed, Sales, Unmarried, White, Female,0,0,20, United-States, <=50K.\n41, Private,405172, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, ?, >50K.\n32, Private,147654, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K.\n51, Private,129301, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n29, Private,173789, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,212588, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,457453, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n65, Private,187493, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,40, Germany, >50K.\n57, Self-emp-not-inc,20953, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,2129,70, United-States, <=50K.\n40, Private,131650, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n60, Private,290754, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, ?, <=50K.\n46, State-gov,114396, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n19, Private,202102, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,318360, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, >50K.\n39, Private,160916, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, ?,913447, HS-grad,9, Divorced, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n30, Private,293931, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K.\n20, Private,230824, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K.\n20, ?,358355, 12th,8, Never-married, ?, Unmarried, White, Female,0,0,35, United-States, <=50K.\n62, Private,584259, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K.\n44, ?,208726, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n38, Private,185556, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K.\n58, Local-gov,100054, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,172307, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K.\n45, Private,30840, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,27828,0,50, United-States, >50K.\n27, Private,147839, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n51, Private,54465, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n52, Federal-gov,418640, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, Haiti, >50K.\n34, Private,222130, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n41, Private,187336, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Local-gov,321024, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,351262, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,38, United-States, >50K.\n28, Private,181597, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n41, Private,694105, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n60, Private,241013, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n44, Self-emp-inc,223881, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, ?, >50K.\n40, Federal-gov,158796, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Philippines, <=50K.\n41, Private,248476, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,191277, Assoc-voc,11, Divorced, Craft-repair, Own-child, White, Male,0,0,30, Thailand, <=50K.\n26, Private,273876, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n33, Private,402848, HS-grad,9, Married-spouse-absent, Adm-clerical, Other-relative, White, Female,0,0,32, United-States, <=50K.\n62, Private,82906, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,4064,0,35, England, <=50K.\n45, Private,153682, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K.\n52, Private,122412, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999,0,35, United-States, >50K.\n26, Private,216819, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,189680, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, >50K.\n41, Private,147099, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, Private,288158, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n32, Private,146161, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n65, ?,104454, Bachelors,13, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Private,91475, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,151868, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,5013,0,65, United-States, <=50K.\n19, Private,118306, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,51543, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K.\n34, Private,69727, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n60, Private,186000, 10th,6, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,48280, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,186935, 11th,7, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n24, Federal-gov,104164, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,339677, Masters,14, Divorced, Tech-support, Unmarried, White, Female,0,0,40, ?, >50K.\n37, Private,123586, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,1902,73, ?, >50K.\n19, Private,150073, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,25, United-States, <=50K.\n24, Private,59792, Masters,14, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n52, Private,24185, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,84, United-States, <=50K.\n87, ?,97295, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,3, United-States, <=50K.\n27, Without-pay,35034, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Female,0,0,40, United-States, <=50K.\n46, Private,118714, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K.\n33, Private,230883, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,2824,48, United-States, >50K.\n45, Private,149224, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,50, United-States, <=50K.\n35, Private,122493, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Private,441227, 11th,7, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,60, United-States, <=50K.\n45, Local-gov,272792, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,50, United-States, >50K.\n41, Private,303521, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,4650,0,45, United-States, <=50K.\n40, Private,226027, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K.\n36, Private,94565, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n65, Self-emp-not-inc,336848, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,162688, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K.\n30, State-gov,45737, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n60, ?,147393, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K.\n52, Private,335997, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,7688,0,38, United-States, >50K.\n26, Private,96645, Doctorate,16, Never-married, Craft-repair, Other-relative, Black, Male,0,0,20, United-States, <=50K.\n35, State-gov,43712, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K.\n45, Private,101825, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,5721,0,45, United-States, <=50K.\n45, Private,102318, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n40, State-gov,132125, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Self-emp-inc,229741, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,45, United-States, <=50K.\n60, State-gov,265201, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n47, ?,332884, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, >50K.\n39, Private,179481, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,304833, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n31, Private,341632, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,46, United-States, <=50K.\n21, Private,140001, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n30, Private,159123, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n33, Private,229636, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n35, Private,34996, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n53, Self-emp-not-inc,67198, 7th-8th,4, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,80, United-States, <=50K.\n65, Self-emp-inc,323636, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,10605,0,40, United-States, >50K.\n45, Private,182689, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K.\n25, Private,51392, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n43, Private,177905, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,143152, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K.\n37, State-gov,211286, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n33, Private,217962, Some-college,10, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,40, ?, <=50K.\n48, Private,309212, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, Germany, <=50K.\n19, ?,97261, Some-college,10, Never-married, ?, Own-child, White, Male,594,0,30, United-States, <=50K.\n46, Self-emp-not-inc,188273, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024,0,50, United-States, >50K.\n21, Private,93977, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n62, Self-emp-inc,163234, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,55, United-States, >50K.\n50, Local-gov,166423, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n33, Private,239071, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,46, United-States, <=50K.\n40, Private,190292, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K.\n38, Private,170783, Assoc-voc,11, Divorced, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n28, Private,239539, HS-grad,9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,45, United-States, <=50K.\n48, Private,164200, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,177647, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,47, United-States, <=50K.\n44, Self-emp-not-inc,86750, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,4508,0,72, United-States, <=50K.\n25, Private,176981, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n59, Federal-gov,134153, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Black, Male,7298,0,38, United-States, >50K.\n35, Private,245372, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,168236, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,448841, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-inc,144778, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,50, United-States, >50K.\n30, Private,155914, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n34, Federal-gov,117362, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n50, Local-gov,82783, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n30, Private,207301, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n41, Private,606347, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n61, Local-gov,149981, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,234972, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n33, Private,437566, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n33, Private,243266, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Dominican-Republic, >50K.\n31, Private,203408, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n43, Self-emp-not-inc,297510, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n18, Private,211683, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K.\n41, Private,167375, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,52, United-States, <=50K.\n36, Private,297449, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n42, Self-emp-not-inc,342634, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, Cambodia, <=50K.\n49, Private,38819, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n18, Private,164571, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Local-gov,122353, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,68, United-States, <=50K.\n26, Self-emp-not-inc,192652, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Male,0,0,15, United-States, <=50K.\n25, Private,401241, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,4416,0,25, United-States, <=50K.\n32, Private,116539, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,162834, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Local-gov,226525, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,51, United-States, <=50K.\n18, Private,219404, 5th-6th,3, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,48, Mexico, <=50K.\n38, Private,33394, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n56, Federal-gov,75804, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n58, Self-emp-not-inc,359972, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, >50K.\n37, Private,201247, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,220109, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n59, Private,118479, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K.\n45, Private,189123, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n60, Private,495366, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n31, Private,53776, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,375980, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n61, Private,185152, 11th,7, Widowed, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n52, Local-gov,230095, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K.\n22, Private,349198, 7th-8th,4, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K.\n41, Private,59916, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,63, United-States, <=50K.\n32, Private,214150, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K.\n29, Private,255187, Some-college,10, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n28, ?,129624, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n30, Private,274577, Assoc-acdm,12, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n51, Private,257756, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K.\n29, ?,1024535, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K.\n75, Private,186808, 11th,7, Married-civ-spouse, Protective-serv, Husband, Black, Male,6418,0,50, United-States, >50K.\n46, Private,147519, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,80, United-States, <=50K.\n53, Private,173630, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,136986, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,50, United-States, >50K.\n41, Private,163287, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n25, Private,150804, HS-grad,9, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K.\n27, Private,189565, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,165484, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, >50K.\n53, Private,177727, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n53, Self-emp-inc,190762, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n38, Private,246463, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n42, Private,27661, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K.\n30, Private,288419, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n57, Local-gov,258641, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K.\n71, Self-emp-not-inc,200540, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,2392,52, United-States, >50K.\n21, Private,305423, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Private,148906, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n64, Private,262645, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n21, Private,243368, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, Mexico, <=50K.\n41, Private,106698, HS-grad,9, Widowed, Transport-moving, Not-in-family, White, Female,13550,0,60, United-States, >50K.\n22, Private,186365, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-inc,304001, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K.\n38, Self-emp-inc,125645, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n42, Private,111468, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,3325,0,40, United-States, <=50K.\n32, Private,136331, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K.\n40, Private,213849, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Private,138994, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K.\n29, Private,177562, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,3781,0,35, United-States, <=50K.\n18, Private,36251, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n32, Private,100904, Some-college,10, Separated, Other-service, Unmarried, Other, Female,0,0,70, United-States, <=50K.\n31, Private,427474, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,2179,35, Mexico, <=50K.\n37, Private,280549, Bachelors,13, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n34, Private,75454, 12th,8, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n31, Private,203488, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n30, Private,49795, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n17, Private,152710, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n28, Local-gov,199172, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n31, Private,382583, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,127295, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Other, Male,0,0,20, Iran, <=50K.\n46, Local-gov,274200, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,130540, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,1564,40, United-States, >50K.\n22, Private,117789, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n20, Self-emp-inc,83141, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,18, United-States, <=50K.\n20, ?,229826, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K.\n36, Self-emp-inc,176837, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,45, United-States, >50K.\n34, Private,234096, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n51, Private,353317, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K.\n23, Private,302312, HS-grad,9, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n17, Private,181015, 10th,6, Never-married, Other-service, Other-relative, White, Male,0,0,15, United-States, <=50K.\n36, State-gov,230329, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K.\n48, Private,164984, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,229051, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,45, United-States, >50K.\n41, Private,204415, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n55, Self-emp-not-inc,319883, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,10, ?, >50K.\n25, Private,185836, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n52, Private,228516, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, >50K.\n47, Self-emp-not-inc,242519, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n36, Private,164866, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,33001, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K.\n21, Private,811615, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,50, United-States, <=50K.\n43, Local-gov,300099, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,34, United-States, <=50K.\n46, State-gov,146305, Some-college,10, Divorced, Tech-support, Not-in-family, Other, Female,0,0,48, United-States, <=50K.\n36, Private,167482, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,65, United-States, <=50K.\n23, Private,106615, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Female,2176,0,25, United-States, <=50K.\n32, Private,204663, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,45, United-States, <=50K.\n40, Private,171234, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, White, Female,0,0,24, United-States, <=50K.\n42, Private,167174, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, China, >50K.\n18, ?,112137, Some-college,10, Never-married, ?, Own-child, Other, Female,0,0,20, ?, <=50K.\n18, Private,116167, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K.\n41, Private,106159, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,14344,0,48, United-States, >50K.\n52, State-gov,295826, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,1876,50, United-States, <=50K.\n26, Private,233461, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,53, Mexico, <=50K.\n57, Private,289605, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,1617,35, United-States, <=50K.\n18, ?,348533, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,3, United-States, <=50K.\n31, Private,197886, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n27, Private,120126, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,75, United-States, >50K.\n35, Private,61343, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n42, Self-emp-not-inc,116197, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Federal-gov,236503, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n69, Federal-gov,47341, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,5, United-States, <=50K.\n25, Private,248990, 11th,7, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n18, Private,190776, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n47, Local-gov,179048, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,213842, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Private,188274, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,86849, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n41, Self-emp-inc,67671, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Canada, >50K.\n21, Private,243890, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n51, Private,279337, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K.\n35, Private,333636, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, ?, >50K.\n58, State-gov,312351, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n43, Local-gov,175935, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,245297, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n49, State-gov,70209, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,14084,0,60, United-States, >50K.\n47, Local-gov,251588, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K.\n33, Private,176992, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464,0,40, United-States, <=50K.\n51, State-gov,87205, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K.\n43, Private,65545, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,46, United-States, <=50K.\n22, Private,289579, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Private,360689, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1628,48, United-States, <=50K.\n43, Private,57600, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n42, Local-gov,247082, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,50, United-States, >50K.\n36, Local-gov,188798, 11th,7, Separated, Prof-specialty, Unmarried, Other, Female,0,0,30, United-States, <=50K.\n19, Private,232261, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, ?,35507, Some-college,10, Never-married, ?, Own-child, White, Female,1055,0,40, United-States, <=50K.\n26, Private,301298, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K.\n38, Private,27016, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,43, United-States, <=50K.\n60, Private,166789, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,1408,50, United-States, <=50K.\n23, Private,94071, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,117767, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,18, United-States, <=50K.\n41, Private,219155, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Italy, <=50K.\n20, Private,34616, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Private,112341, Assoc-voc,11, Married-spouse-absent, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n28, Private,220656, 11th,7, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n53, Private,239990, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,139180, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K.\n52, Private,215656, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,60, United-States, <=50K.\n43, State-gov,157999, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n23, Private,41763, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K.\n39, Private,299725, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n32, Private,198813, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n32, Private,431551, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, Mexico, <=50K.\n22, Private,195767, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n26, Private,140649, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,295706, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K.\n32, Private,324284, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,352426, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,60, Mexico, <=50K.\n39, Private,126569, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, ?, <=50K.\n81, Private,106390, 5th-6th,3, Widowed, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,6, United-States, <=50K.\n29, Private,134813, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n65, Private,95644, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n50, Private,254148, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K.\n44, Private,367819, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,162370, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n55, Self-emp-not-inc,204387, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n60, Federal-gov,248288, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Private,175070, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,75, United-States, <=50K.\n51, Local-gov,169182, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,40, Columbia, <=50K.\n38, Self-emp-not-inc,223242, Some-college,10, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, State-gov,461929, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,40, United-States, >50K.\n25, Self-emp-not-inc,114483, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K.\n45, Private,260543, Masters,14, Widowed, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female,0,0,40, China, <=50K.\n27, Private,237466, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n57, Private,335605, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,169122, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,28, United-States, <=50K.\n49, Private,176907, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,264300, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n34, Private,159187, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n55, Private,303090, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,45, United-States, <=50K.\n33, Private,393702, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n19, ?,177923, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K.\n21, Private,191265, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,215074, Some-college,10, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n19, Private,30597, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K.\n35, Self-emp-not-inc,28996, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,188069, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n55, Private,53481, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, >50K.\n37, Private,410034, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n64, Private,64544, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,12, United-States, <=50K.\n46, Private,204379, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n23, Private,255252, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,178037, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, Ireland, <=50K.\n26, Private,184303, 5th-6th,3, Married-spouse-absent, Priv-house-serv, Other-relative, White, Female,0,0,8, El-Salvador, <=50K.\n20, Private,175800, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n88, Self-emp-not-inc,263569, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,6418,0,40, United-States, >50K.\n42, Private,234508, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n50, Self-emp-not-inc,195372, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K.\n48, Private,265295, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n40, Private,184846, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,5178,0,40, United-States, >50K.\n47, Private,185400, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n32, Private,360689, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,200598, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n38, Private,227615, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,308144, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n44, Private,259674, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,5178,0,60, United-States, >50K.\n41, Private,182217, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,30, United-States, <=50K.\n28, Private,230997, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,60, United-States, <=50K.\n31, Private,393702, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Female,0,0,36, United-States, <=50K.\n57, Self-emp-not-inc,130957, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,70, United-States, >50K.\n20, Private,210444, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,25, United-States, <=50K.\n36, ?,172775, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, >50K.\n53, Self-emp-inc,167914, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,1876,50, United-States, <=50K.\n71, Private,533660, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,205997, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,21, United-States, <=50K.\n34, Private,253616, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n49, Private,148549, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n54, Local-gov,113649, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,233322, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n43, Self-emp-not-inc,325775, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,15, United-States, <=50K.\n30, Private,94235, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n47, Local-gov,336274, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n43, Private,147510, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K.\n48, Private,191389, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n35, Private,174503, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,160968, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,122797, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,52263, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,249282, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n27, Self-emp-not-inc,227332, Bachelors,13, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male,0,0,50, ?, <=50K.\n37, Local-gov,289238, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Private,153790, Assoc-acdm,12, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n43, Local-gov,101563, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,176240, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n56, Private,131608, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Ireland, >50K.\n27, Private,198286, Some-college,10, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,222204, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,3325,0,40, United-States, <=50K.\n47, Self-emp-not-inc,148169, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,347867, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n40, Private,170413, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,1741,40, United-States, <=50K.\n33, Private,133861, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,62, United-States, <=50K.\n50, Federal-gov,289572, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n44, Local-gov,445382, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688,0,40, United-States, >50K.\n42, Self-emp-not-inc,151809, HS-grad,9, Divorced, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K.\n49, Private,368355, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K.\n43, Private,73333, Prof-school,15, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n41, Private,117585, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1977,50, United-States, >50K.\n21, Private,107960, Some-college,10, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,20, China, <=50K.\n29, Private,196117, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,126569, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,60, United-States, <=50K.\n25, Private,216741, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n75, Private,254167, 10th,6, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n52, Private,102444, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,38848, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,55360, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n17, Private,140117, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,14, United-States, <=50K.\n36, Self-emp-not-inc,66883, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n52, Self-emp-not-inc,154728, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n22, ?,184756, Bachelors,13, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n48, Private,193047, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n54, Private,231342, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,32, United-States, <=50K.\n27, Private,310483, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n38, Federal-gov,174778, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,1980,40, United-States, <=50K.\n44, Federal-gov,130749, Bachelors,13, Separated, Exec-managerial, Unmarried, Black, Female,0,0,60, United-States, <=50K.\n38, Private,22463, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,45, United-States, >50K.\n29, Private,159473, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K.\n63, Private,81605, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n51, State-gov,68684, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n22, ?,229799, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,45, ?, <=50K.\n17, Private,124661, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n39, Private,117381, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,53206, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,47, United-States, >50K.\n52, Private,172962, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n24, ?,243923, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,10, Mexico, <=50K.\n72, Private,132753, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,15, United-States, <=50K.\n43, Private,67339, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,15, United-States, <=50K.\n71, Private,101577, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,1668,20, United-States, <=50K.\n39, Private,101192, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n51, State-gov,42901, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K.\n43, Private,88787, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n39, Private,306504, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n30, ?,183746, HS-grad,9, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n19, Self-emp-not-inc,242965, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K.\n52, Private,427475, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K.\n60, Self-emp-inc,180512, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n30, Private,97723, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n60, Private,208915, HS-grad,9, Widowed, Craft-repair, Other-relative, Asian-Pac-Islander, Female,0,0,40, Cambodia, <=50K.\n40, Local-gov,189189, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, <=50K.\n49, Self-emp-inc,327258, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1977,60, China, >50K.\n31, Private,254494, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, United-States, <=50K.\n23, Private,105577, Some-college,10, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,26, United-States, <=50K.\n34, Private,215124, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,192936, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n35, Private,274158, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,3103,0,40, United-States, >50K.\n19, Private,318822, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,171889, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,68, United-States, <=50K.\n17, Private,94492, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,19, United-States, <=50K.\n17, Private,73820, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K.\n38, Private,32989, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,197382, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n35, Private,164526, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-inc,153205, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,70, India, >50K.\n40, Private,269168, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K.\n43, Local-gov,126847, Masters,14, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,7430,0,60, United-States, >50K.\n50, State-gov,211112, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n29, Private,100049, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n48, State-gov,104542, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n59, Private,186479, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n22, Private,225272, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K.\n51, Private,346871, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n29, Private,142712, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,46221, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,4787,0,60, United-States, >50K.\n47, Private,349151, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K.\n31, Private,111883, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n32, Private,46691, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,291789, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,50, United-States, <=50K.\n45, Private,201699, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1628,40, United-States, <=50K.\n24, Federal-gov,219262, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n60, Self-emp-inc,160079, Masters,14, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n58, Private,193374, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Male,0,1719,40, United-States, <=50K.\n37, ?,111268, Assoc-voc,11, Never-married, ?, Own-child, White, Female,0,0,32, United-States, <=50K.\n19, Private,410632, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Local-gov,33943, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Other, Male,0,0,40, United-States, >50K.\n44, Federal-gov,269792, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,43, United-States, <=50K.\n46, Private,153328, Some-college,10, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n47, Private,162859, HS-grad,9, Divorced, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n19, ?,258664, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n80, Private,22406, Bachelors,13, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,65624, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, <=50K.\n43, Private,326232, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,363257, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, <=50K.\n35, Private,51700, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,19678, Bachelors,13, Married-AF-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,60, Philippines, >50K.\n21, Private,109199, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K.\n26, State-gov,36741, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n41, Private,347653, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,37514, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n48, Private,355781, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K.\n46, Private,86709, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,45, United-States, <=50K.\n44, Self-emp-not-inc,22933, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Self-emp-inc,83922, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,84, United-States, <=50K.\n27, Federal-gov,182637, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, ?, >50K.\n57, Private,80149, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, Germany, >50K.\n60, Self-emp-not-inc,231770, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, >50K.\n60, ?,116746, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Self-emp-not-inc,189759, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n40, Self-emp-inc,46221, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,99999,0,55, United-States, >50K.\n58, State-gov,198145, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,35864, Bachelors,13, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K.\n44, Federal-gov,259307, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,129007, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,41, United-States, >50K.\n33, Private,169104, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K.\n37, Private,198097, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n21, Local-gov,224640, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n17, ?,35603, 11th,7, Never-married, ?, Own-child, White, Female,0,0,16, United-States, <=50K.\n47, Self-emp-not-inc,85982, Masters,14, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0,0,60, United-States, <=50K.\n39, Private,230467, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, Germany, <=50K.\n32, Self-emp-not-inc,168782, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K.\n24, Private,142566, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n30, Federal-gov,195337, HS-grad,9, Never-married, Adm-clerical, Unmarried, Other, Female,1506,0,45, United-States, <=50K.\n24, ?,99829, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n40, Private,133456, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,24, United-States, >50K.\n28, Local-gov,133136, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n25, Private,211531, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,243867, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,45, United-States, <=50K.\n47, Local-gov,284871, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n37, Federal-gov,188563, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,1876,40, United-States, <=50K.\n61, Private,173866, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K.\n23, Private,114939, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n30, Private,259425, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, Private,59159, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,189439, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K.\n56, Private,157786, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K.\n41, Self-emp-inc,289636, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n49, Self-emp-inc,154174, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n56, Private,70857, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,183000, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, >50K.\n37, Private,123104, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n21, State-gov,254620, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,16, United-States, <=50K.\n33, Local-gov,156464, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n60, Private,124987, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K.\n41, Private,413720, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,15, United-States, <=50K.\n33, Private,169886, 12th,8, Separated, Other-service, Unmarried, White, Female,0,0,50, Dominican-Republic, <=50K.\n31, Private,228873, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,110622, Masters,14, Divorced, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,40, South, <=50K.\n31, ?,170513, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,99, United-States, <=50K.\n21, ?,221418, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n65, Private,151287, Masters,14, Separated, Exec-managerial, Not-in-family, Black, Male,0,0,20, United-States, <=50K.\n25, Private,235218, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,111567, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,251603, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n61, Private,136109, 11th,7, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n29, Private,178610, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,21, United-States, <=50K.\n22, Private,192289, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, Puerto-Rico, <=50K.\n30, Private,49325, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, >50K.\n52, Private,229375, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,125791, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,75619, HS-grad,9, Divorced, Transport-moving, Other-relative, White, Male,0,0,60, United-States, <=50K.\n60, Private,247483, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,289448, Masters,14, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, China, >50K.\n22, ?,122048, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K.\n21, Private,177940, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,399088, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,1340,45, United-States, <=50K.\n38, Private,108293, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n60, Private,178249, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1887,40, United-States, >50K.\n24, Local-gov,52262, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,143046, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,99999,0,50, United-States, >50K.\n59, Private,124318, HS-grad,9, Divorced, Exec-managerial, Other-relative, White, Female,0,0,45, United-States, <=50K.\n52, Federal-gov,57855, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n50, Private,355954, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n28, Private,143582, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, South, <=50K.\n30, Private,220915, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n43, Private,172025, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,109813, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,3137,0,40, United-States, <=50K.\n45, Private,175600, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n26, Private,389856, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Mexico, <=50K.\n41, Self-emp-not-inc,167081, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,55, United-States, >50K.\n43, Self-emp-inc,179228, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K.\n23, ?,214542, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,42, United-States, <=50K.\n31, Private,1210504, 10th,6, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n55, Private,426263, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,146225, 10th,6, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,240810, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Private,100113, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2051,40, United-States, <=50K.\n22, Private,214542, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n18, Private,41506, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n24, Private,200121, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n55, Private,199919, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,15, United-States, <=50K.\n22, Private,60668, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Private,208347, 11th,7, Never-married, Machine-op-inspct, Not-in-family, Other, Female,0,0,40, Puerto-Rico, <=50K.\n42, State-gov,184105, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, >50K.\n27, Private,255979, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Self-emp-inc,251585, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,132222, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n49, Private,164733, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,327902, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3908,0,50, United-States, <=50K.\n30, Private,262092, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n23, Private,299047, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Self-emp-not-inc,146735, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n43, Private,154568, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, >50K.\n37, Private,160916, 7th-8th,4, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K.\n33, Private,161444, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n32, State-gov,246282, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,2961,0,99, ?, <=50K.\n20, ?,147031, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K.\n42, Private,220531, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K.\n22, Private,282202, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n26, Private,122485, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,4416,0,40, United-States, <=50K.\n32, Private,227012, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n67, Private,116502, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K.\n51, Private,163606, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n18, Private,211413, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K.\n33, ?,171637, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n57, Self-emp-not-inc,204387, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,10, United-States, >50K.\n24, ?,214542, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n29, Private,70100, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, Portugal, <=50K.\n42, Private,96115, Bachelors,13, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Private,181758, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n74, ?,278557, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K.\n34, Federal-gov,168931, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Other, Female,0,0,40, United-States, >50K.\n27, Private,397962, 10th,6, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,30, United-States, <=50K.\n28, Private,113922, HS-grad,9, Separated, Transport-moving, Own-child, White, Female,0,0,17, United-States, <=50K.\n17, Private,318025, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,20, United-States, <=50K.\n24, Private,287357, 11th,7, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,33219, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n81, Self-emp-inc,51646, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,2174,35, United-States, >50K.\n47, Federal-gov,51664, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3908,0,40, United-States, <=50K.\n29, Private,195721, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,255575, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K.\n31, Private,200835, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K.\n22, ?,140414, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,165579, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n37, Private,38948, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,184685, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n23, Private,86939, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n22, Private,215251, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, Germany, <=50K.\n53, Private,151159, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,385266, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n68, Self-emp-inc,289349, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,9386,0,70, Germany, >50K.\n19, Private,232060, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n28, Private,290429, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K.\n45, Private,179048, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, ?, >50K.\n57, Self-emp-not-inc,98466, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,16, United-States, <=50K.\n51, Local-gov,142801, Masters,14, Widowed, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, >50K.\n68, Self-emp-inc,119938, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,172186, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,5013,0,40, United-States, <=50K.\n45, Local-gov,198759, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,40, United-States, >50K.\n45, State-gov,74305, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n80, Self-emp-inc,120796, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Local-gov,190091, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n23, Private,197286, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, State-gov,129499, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,30875, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, >50K.\n45, Self-emp-not-inc,172822, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,3411,0,40, United-States, <=50K.\n34, Private,107417, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Local-gov,226902, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,86557, Some-college,10, Never-married, Sales, Other-relative, Other, Female,0,0,30, United-States, <=50K.\n35, Private,98900, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n24, Local-gov,38707, Bachelors,13, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K.\n39, Private,286730, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n17, Private,221797, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,594,0,20, United-States, <=50K.\n52, ?,175029, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,80, United-States, <=50K.\n49, ?,32184, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,5013,0,15, United-States, <=50K.\n31, Federal-gov,144949, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Federal-gov,33084, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,156464, Some-college,10, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K.\n38, Private,152307, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, >50K.\n32, Private,341954, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,1741,45, ?, <=50K.\n24, Private,235720, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K.\n47, Private,161187, 12th,8, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n56, Private,90017, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Portugal, <=50K.\n59, Private,192671, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K.\n39, Self-emp-not-inc,102178, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n22, Private,293136, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K.\n17, Local-gov,99568, 10th,6, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K.\n66, Self-emp-not-inc,81413, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K.\n39, Private,31053, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n18, Private,31008, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n55, Private,221801, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Federal-gov,76491, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n64, Private,286732, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,17, United-States, <=50K.\n48, Self-emp-not-inc,196707, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K.\n51, Federal-gov,23698, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,224699, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K.\n22, Private,131291, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,15, United-States, <=50K.\n19, ?,372665, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n44, Private,64506, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n47, Private,139388, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n29, Private,425830, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Private,99146, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n37, State-gov,59200, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n21, Private,37482, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n34, Private,188798, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K.\n56, Private,100285, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K.\n31, State-gov,228446, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,19491, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,2202,0,40, United-States, <=50K.\n28, Private,156967, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Federal-gov,187581, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, >50K.\n56, Private,154490, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n30, Private,101345, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Local-gov,150533, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,46, United-States, <=50K.\n33, Private,93213, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n57, Private,257046, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,421837, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,101593, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n42, Private,122215, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n49, Private,272780, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,60, Mexico, >50K.\n24, Private,190591, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n30, Private,78374, HS-grad,9, Married-civ-spouse, Sales, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K.\n30, ?,121468, Bachelors,13, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,40, Hong, <=50K.\n31, Private,280927, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n25, Private,202480, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,110088, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n58, ?,129632, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K.\n37, Self-emp-not-inc,225860, Assoc-acdm,12, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n25, Private,310545, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,30, El-Salvador, <=50K.\n31, Private,178664, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n46, Self-emp-not-inc,198759, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n20, Private,259301, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n31, Private,234537, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K.\n63, Private,427770, 12th,8, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n19, ?,331702, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, ?,180052, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n54, Private,205337, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n17, Private,236091, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,8, United-States, <=50K.\n40, Private,33895, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, ?,447210, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n27, Private,226441, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K.\n41, State-gov,119721, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n32, Self-emp-not-inc,455995, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n35, Private,105813, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n24, ?,350917, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n42, State-gov,191814, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n65, Private,399296, 5th-6th,3, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,20, Mexico, <=50K.\n47, Private,201595, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K.\n41, Private,143003, Masters,14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,1887,45, China, >50K.\n28, Private,74784, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n20, ?,313045, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n22, Private,303781, Some-college,10, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n23, Private,236769, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Self-emp-not-inc,264961, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n59, Private,144962, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n59, Local-gov,435836, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, >50K.\n46, Private,186539, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,48, United-States, >50K.\n23, Private,181796, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n47, Local-gov,398397, Masters,14, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,196280, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,38, United-States, <=50K.\n37, Federal-gov,31670, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Self-emp-inc,65535, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n48, Local-gov,97680, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,10, United-States, >50K.\n57, Self-emp-not-inc,47178, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K.\n24, Self-emp-not-inc,151818, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n40, Private,304530, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,197651, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n64, Private,108054, HS-grad,9, Widowed, Transport-moving, Not-in-family, White, Male,0,0,22, United-States, <=50K.\n44, Private,179666, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,0,0,35, England, <=50K.\n45, Private,142909, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,231261, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n42, State-gov,119008, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, Black, Female,0,1974,40, United-States, <=50K.\n27, Private,168138, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n54, Private,217850, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K.\n50, Self-emp-not-inc,343242, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n19, ?,167087, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n27, Private,200179, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n35, Private,172252, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,132879, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K.\n21, Private,240063, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,48, United-States, <=50K.\n19, Private,425816, Some-college,10, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n39, Local-gov,167571, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,2885,0,30, United-States, <=50K.\n39, Private,85566, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,123799, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,42, United-States, <=50K.\n28, Private,194690, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,266347, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Private,68268, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Self-emp-inc,145574, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,128666, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,119411, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,276552, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n22, ?,305423, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,36, United-States, <=50K.\n38, Federal-gov,104236, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,1471,0,40, United-States, <=50K.\n48, ?,136455, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n71, Self-emp-not-inc,139889, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, >50K.\n39, Local-gov,102953, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n36, ?,320183, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,24, United-States, <=50K.\n47, Private,83407, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,84, United-States, >50K.\n22, ?,118910, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,43, United-States, <=50K.\n41, Private,99254, Masters,14, Divorced, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n43, State-gov,198766, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n20, Private,191832, 12th,8, Never-married, Other-service, Unmarried, White, Male,0,0,40, ?, <=50K.\n23, Private,146178, HS-grad,9, Separated, Adm-clerical, Other-relative, White, Male,0,0,46, United-States, <=50K.\n35, Private,132879, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,94706, Bachelors,13, Married-spouse-absent, Sales, Unmarried, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K.\n48, Local-gov,273767, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,40, United-States, >50K.\n43, Self-emp-not-inc,204235, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n62, ?,181782, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K.\n39, State-gov,144860, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,185832, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K.\n81, Private,55314, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,4, United-States, >50K.\n44, Private,200194, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,339772, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n54, Private,159755, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n24, Private,200207, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Private,31493, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, United-States, <=50K.\n31, Private,168981, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K.\n20, Private,201729, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,33, United-States, <=50K.\n30, Self-emp-not-inc,105749, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n56, Federal-gov,101847, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,4064,0,40, United-States, <=50K.\n46, Private,110646, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,56, United-States, <=50K.\n34, Private,139753, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,2174,0,50, United-States, <=50K.\n25, Private,255004, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K.\n34, Private,341954, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,124330, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,46, United-States, <=50K.\n46, Private,64563, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,45, United-States, >50K.\n32, Self-emp-not-inc,29254, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K.\n25, ?,182810, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,1564,37, United-States, >50K.\n33, ?,139051, 11th,7, Separated, ?, Unmarried, Black, Female,0,0,53, United-States, <=50K.\n31, Private,151053, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,34, United-States, <=50K.\n66, Self-emp-inc,45702, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n26, ?,138685, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Private,164193, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n73, Private,109651, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,30, United-States, <=50K.\n30, Private,126364, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K.\n31, Private,328199, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,2354,0,40, United-States, <=50K.\n44, Self-emp-not-inc,180096, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n23, Private,197613, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Private,170195, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n48, Federal-gov,56482, 10th,6, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n53, Private,23686, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,1741,40, United-States, <=50K.\n62, State-gov,200916, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,160261, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,2377,35, Hong, <=50K.\n21, Private,129232, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Local-gov,249727, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n35, State-gov,106448, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n61, Local-gov,313852, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,213722, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, Greece, <=50K.\n29, Private,120645, Assoc-acdm,12, Married-civ-spouse, Tech-support, Wife, Black, Female,0,0,40, United-States, <=50K.\n78, ?,167336, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K.\n21, Self-emp-not-inc,199419, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,50, United-States, <=50K.\n23, Private,132053, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,311570, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Female,0,0,35, United-States, <=50K.\n30, Private,187203, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n76, Private,201240, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n51, Private,150999, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n30, Self-emp-not-inc,24961, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Local-gov,152021, 11th,7, Divorced, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n20, Private,374116, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n73, Private,35370, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K.\n38, Private,65291, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,24, United-States, <=50K.\n71, ?,283889, HS-grad,9, Married-spouse-absent, ?, Not-in-family, Black, Male,0,1816,40, United-States, <=50K.\n36, Self-emp-not-inc,48585, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,4, United-States, <=50K.\n26, Private,132661, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n52, Private,267583, 10th,6, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Private,313297, 5th-6th,3, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n66, Private,290578, 7th-8th,4, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,246038, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n42, Federal-gov,125461, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Male,0,323,40, United-States, <=50K.\n56, Self-emp-not-inc,206149, 7th-8th,4, Never-married, Other-service, Unmarried, Black, Female,0,0,58, United-States, <=50K.\n59, Local-gov,205718, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,24, Canada, <=50K.\n37, Private,241153, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n49, Private,186706, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,7688,0,40, United-States, >50K.\n60, Private,216574, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n46, Private,49570, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, State-gov,82161, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K.\n44, Private,191268, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K.\n31, Private,59469, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,197947, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,58, United-States, <=50K.\n35, Private,180131, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K.\n17, Private,156732, 11th,7, Never-married, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K.\n22, Private,415755, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,228254, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,37, United-States, <=50K.\n28, Self-emp-not-inc,414599, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,21, Guatemala, <=50K.\n35, Private,357173, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n49, ?,111282, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,4386,0,99, United-States, >50K.\n38, Private,174308, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n49, Federal-gov,61885, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n42, Private,123838, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n53, Private,119170, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,1740,40, United-States, <=50K.\n59, Private,219426, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n18, Self-emp-inc,184920, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,25, United-States, <=50K.\n39, Local-gov,187385, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,28, United-States, >50K.\n26, Private,234258, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n24, Private,387663, Some-college,10, Married-spouse-absent, Farming-fishing, Unmarried, White, Female,0,0,40, United-States, <=50K.\n45, Private,151817, Masters,14, Separated, Tech-support, Unmarried, White, Female,0,0,36, United-States, <=50K.\n34, Private,187203, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K.\n27, Local-gov,67187, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,33, United-States, <=50K.\n48, Private,194526, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n20, Private,73266, Some-college,10, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,340755, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K.\n26, Private,168552, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, Self-emp-inc,188069, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K.\n27, Private,198587, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,60, United-States, <=50K.\n21, State-gov,33423, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n40, Federal-gov,190910, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,195963, 7th-8th,4, Never-married, Transport-moving, Not-in-family, Other, Male,0,0,48, Puerto-Rico, <=50K.\n24, Private,345066, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Female,0,0,50, United-States, <=50K.\n43, Private,195258, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,262233, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,47, United-States, <=50K.\n56, Private,78707, 9th,5, Married-civ-spouse, Other-service, Wife, White, Female,4508,0,28, United-States, <=50K.\n53, Self-emp-inc,251240, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,50, United-States, >50K.\n36, Self-emp-not-inc,414056, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Local-gov,174564, 12th,8, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,236242, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,1590,40, United-States, <=50K.\n31, Private,31286, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, Private,234476, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,7, United-States, <=50K.\n26, Private,414916, HS-grad,9, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K.\n40, Private,223881, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n21, Private,284651, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n35, Private,38948, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K.\n33, Private,157887, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n59, Private,70796, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0,0,15, United-States, <=50K.\n49, Local-gov,97176, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,47, United-States, <=50K.\n54, Private,146834, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,490645, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,2829,0,42, United-States, <=50K.\n61, State-gov,31577, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n33, Private,145437, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,43, United-States, <=50K.\n36, State-gov,21798, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,15024,0,40, Germany, >50K.\n57, Private,142076, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,40, United-States, >50K.\n22, Private,136230, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Private,184169, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K.\n23, Private,175778, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n46, Local-gov,59174, HS-grad,9, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,33, United-States, <=50K.\n49, Private,123713, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n67, ?,222362, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, >50K.\n51, Private,108435, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n21, Private,39182, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Local-gov,203051, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,46, United-States, <=50K.\n45, Federal-gov,363418, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n27, Local-gov,113054, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n27, Local-gov,163320, Assoc-acdm,12, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n34, Private,118710, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n56, Private,170066, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,135267, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n24, Private,361278, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n59, Self-emp-not-inc,165867, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K.\n33, Private,300497, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n49, State-gov,255928, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,27305, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,29933, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,265434, 11th,7, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n18, Private,145643, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,9, United-States, <=50K.\n31, ?,162041, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n30, Private,119562, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3942,0,40, United-States, <=50K.\n29, Private,115549, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,2635,0,40, United-States, <=50K.\n50, Private,39590, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, >50K.\n24, Private,97676, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,34973, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,312446, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Federal-gov,88909, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,117381, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n34, Self-emp-inc,513977, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,50, United-States, <=50K.\n38, Federal-gov,39089, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,6849,0,50, United-States, <=50K.\n32, Private,341672, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,2174,0,45, Taiwan, <=50K.\n31, Local-gov,400535, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, United-States, <=50K.\n34, Self-emp-not-inc,338042, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n49, Private,216734, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n54, Self-emp-not-inc,224207, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,6849,0,50, United-States, <=50K.\n58, Private,107897, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n28, Private,205903, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,191754, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n26, Private,216225, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, >50K.\n33, Private,125762, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,201062, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Black, Female,0,0,40, Jamaica, <=50K.\n53, Local-gov,25820, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K.\n33, Private,553405, Assoc-voc,11, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Federal-gov,78022, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,207631, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,52, Mexico, <=50K.\n35, Private,203988, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n47, Private,122194, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K.\n17, Private,318918, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,30, United-States, <=50K.\n55, Self-emp-inc,264453, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Male,0,0,30, United-States, <=50K.\n28, Self-emp-not-inc,183523, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n46, Self-emp-not-inc,98881, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n18, Private,184101, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,6, United-States, <=50K.\n43, Local-gov,135056, HS-grad,9, Separated, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K.\n60, Self-emp-not-inc,71457, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,4508,0,8, United-States, <=50K.\n55, Self-emp-not-inc,96459, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1887,70, United-States, >50K.\n52, Private,134184, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,2597,0,36, United-States, <=50K.\n40, Private,153132, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,31, United-States, <=50K.\n52, Private,173991, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, <=50K.\n27, Federal-gov,96219, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K.\n44, Private,152744, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n56, Private,182142, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,48915, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,24126, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Local-gov,263984, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, Puerto-Rico, <=50K.\n42, Local-gov,118261, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K.\n63, Private,106141, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n48, State-gov,355320, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,15, Germany, >50K.\n19, ?,497414, 7th-8th,4, Never-married, ?, Not-in-family, White, Female,0,0,35, Mexico, <=50K.\n41, Private,118915, Bachelors,13, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n17, Private,75885, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K.\n26, State-gov,93806, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,25, United-States, <=50K.\n33, Local-gov,255058, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Male,0,2339,40, United-States, <=50K.\n41, Private,120277, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,120046, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K.\n26, Private,209384, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Local-gov,742903, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-inc,147869, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n21, ?,208117, 10th,6, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n64, Private,268965, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,22, United-States, <=50K.\n32, Private,41210, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,128378, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K.\n22, Private,131291, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n35, Private,187046, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n53, Private,221672, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Self-emp-not-inc,70100, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K.\n23, Private,199586, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,243743, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n20, State-gov,375931, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K.\n42, Private,139012, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, >50K.\n45, Private,167617, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n77, Private,88269, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K.\n32, Private,70377, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,431745, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,10, United-States, <=50K.\n32, Private,72967, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, >50K.\n41, Private,174373, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K.\n42, Private,145178, HS-grad,9, Separated, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n23, ?,138938, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Female,0,0,3, United-States, <=50K.\n26, Local-gov,113948, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n66, Private,135446, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,43711, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n40, Private,137304, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,65, United-States, <=50K.\n21, Private,180690, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n40, Private,135384, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n48, Private,178137, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,44, United-States, <=50K.\n62, Self-emp-not-inc,113440, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K.\n45, Private,110243, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n42, Self-emp-inc,165981, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n20, Private,246635, Some-college,10, Never-married, Sales, Own-child, White, Female,2597,0,20, United-States, <=50K.\n30, Private,553405, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n59, Private,137506, 9th,5, Widowed, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n22, Private,313730, Assoc-acdm,12, Never-married, Farming-fishing, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n23, Federal-gov,102684, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n55, Private,265579, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,2354,0,40, United-States, <=50K.\n58, Private,101338, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Greece, >50K.\n67, Private,188903, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,231919, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n38, ?,139770, Masters,14, Married-civ-spouse, ?, Wife, White, Female,0,0,48, United-States, >50K.\n37, Private,253006, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n34, Private,258425, Assoc-voc,11, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Male,2597,0,45, United-States, <=50K.\n49, Private,168837, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n46, Private,177536, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,60, United-States, <=50K.\n29, Private,168524, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Self-emp-inc,108551, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n38, Self-emp-not-inc,180477, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, >50K.\n58, Self-emp-not-inc,162970, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Private,104196, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K.\n34, Private,329288, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,55, United-States, >50K.\n59, Self-emp-not-inc,39398, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,42, United-States, <=50K.\n33, Private,70240, Some-college,10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n17, Private,153021, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,6, United-States, <=50K.\n29, Local-gov,152461, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,171892, Assoc-acdm,12, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,42, United-States, <=50K.\n45, Private,128141, 11th,7, Separated, Tech-support, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K.\n68, Private,182574, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,991,0,29, United-States, <=50K.\n33, Local-gov,189145, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n49, Self-emp-inc,218835, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n46, Local-gov,132994, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,40, United-States, >50K.\n54, Private,83103, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,67, United-States, <=50K.\n31, Private,198103, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n25, ?,177812, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-inc,144154, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,80, United-States, <=50K.\n56, Private,169086, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, ?, >50K.\n36, Private,140854, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, Portugal, <=50K.\n20, ?,218875, Some-college,10, Never-married, ?, Other-relative, White, Female,0,0,20, United-States, <=50K.\n35, Self-emp-not-inc,187589, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,7, United-States, <=50K.\n36, Private,112271, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,1902,40, United-States, >50K.\n27, Private,199118, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K.\n46, Private,178642, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, United-States, >50K.\n34, Private,113708, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,59, United-States, >50K.\n29, Federal-gov,185670, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,303187, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,44, ?, >50K.\n49, Private,209739, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K.\n52, Self-emp-not-inc,155278, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,119422, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Local-gov,326292, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,212512, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n37, Private,33440, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, State-gov,185180, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n46, Self-emp-not-inc,504941, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,192014, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,24, United-States, <=50K.\n48, Self-emp-inc,192755, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, Canada, >50K.\n59, Private,220896, Prof-school,15, Divorced, Other-service, Not-in-family, White, Male,27828,0,60, United-States, >50K.\n22, Private,189832, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n38, Private,235638, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n39, Private,134367, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,43, United-States, <=50K.\n41, Private,171231, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Peru, <=50K.\n19, Private,253529, 12th,8, Never-married, Adm-clerical, Own-child, White, Male,0,0,9, United-States, <=50K.\n47, State-gov,210557, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,362835, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n55, Private,186479, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n37, State-gov,115360, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, Private,184806, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n34, Self-emp-not-inc,450141, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,35, United-States, >50K.\n41, Private,200479, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,152493, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,60, United-States, <=50K.\n29, Private,135791, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,50, Cuba, >50K.\n37, Self-emp-not-inc,50096, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n55, Private,173832, Masters,14, Divorced, Sales, Not-in-family, White, Male,10520,0,40, United-States, >50K.\n52, Private,224198, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, <=50K.\n57, Private,111553, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n67, Private,191380, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,34242, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n58, Private,100054, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,70, United-States, >50K.\n62, Private,110103, HS-grad,9, Widowed, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n40, Private,196626, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K.\n66, ?,194480, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,2377,2, United-States, >50K.\n26, Private,190040, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, Private,152629, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n18, Federal-gov,263162, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n34, Private,205581, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n50, Private,155434, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,415922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,32, United-States, <=50K.\n42, Local-gov,221581, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,135089, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,56, United-States, <=50K.\n47, Private,117774, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Portugal, <=50K.\n46, Private,206707, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,315640, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,45, Iran, >50K.\n52, Private,210736, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K.\n23, Local-gov,456665, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,133935, Some-college,10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Private,106982, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,70, United-States, <=50K.\n35, Private,126569, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n31, State-gov,209954, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, State-gov,46401, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,410216, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,410509, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n22, Private,382199, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,84130, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,243380, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n31, Private,329635, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K.\n20, ?,265434, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K.\n23, Private,241752, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,172579, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K.\n48, Local-gov,121179, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,52, United-States, <=50K.\n46, Private,76131, 5th-6th,3, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K.\n57, Private,138777, Bachelors,13, Married-civ-spouse, Protective-serv, Wife, White, Female,0,0,45, Germany, >50K.\n44, State-gov,195212, Masters,14, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,52, United-States, <=50K.\n20, Private,315135, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,15, United-States, <=50K.\n44, Private,248406, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,283314, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, ?, >50K.\n29, Private,231601, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n71, Self-emp-not-inc,126807, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1411,70, United-States, <=50K.\n31, Private,198513, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n37, Private,162651, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Columbia, <=50K.\n90, Private,197613, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K.\n49, Private,184098, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n46, Local-gov,187505, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, ?, <=50K.\n53, Private,174655, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n17, Private,161123, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,32, United-States, <=50K.\n43, Private,390369, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, Mexico, <=50K.\n35, Self-emp-not-inc,354520, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,364631, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, Mexico, <=50K.\n35, Private,323120, Assoc-acdm,12, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,44, United-States, >50K.\n58, State-gov,32367, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n88, Private,30102, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1816,50, ?, <=50K.\n51, Private,229259, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n31, Private,274818, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Self-emp-inc,248476, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n38, Private,98080, Some-college,10, Never-married, Adm-clerical, Other-relative, Other, Male,0,0,40, India, <=50K.\n44, Private,56651, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K.\n43, Private,216411, 1st-4th,2, Never-married, Adm-clerical, Unmarried, White, Female,0,0,30, Dominican-Republic, <=50K.\n31, Private,226443, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,70, United-States, >50K.\n21, Private,119039, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,18, United-States, <=50K.\n25, Private,136277, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n52, Local-gov,149508, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n53, Private,449376, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K.\n18, Private,143450, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,20, United-States, <=50K.\n41, Private,227065, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,175801, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,260346, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n37, Private,54159, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n24, Private,143246, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Female,2597,0,45, United-States, <=50K.\n32, Private,115854, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,41, United-States, <=50K.\n35, Private,138441, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Self-emp-not-inc,149704, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n38, Private,22245, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,104017, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1628,50, United-States, <=50K.\n46, Private,165468, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,181557, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,35, United-States, <=50K.\n38, Private,220694, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K.\n27, Local-gov,190330, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, Federal-gov,109209, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n32, Private,187815, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n38, Federal-gov,236648, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,53306, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,418645, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K.\n27, Private,217530, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,45, Mexico, <=50K.\n19, Private,135066, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n20, Local-gov,38455, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n37, Self-emp-not-inc,53553, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,75, United-States, <=50K.\n18, Private,117857, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n72, Self-emp-not-inc,379376, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K.\n31, Private,191932, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,2258,40, United-States, <=50K.\n33, Private,234067, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,348886, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,142490, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n42, ?,155190, Bachelors,13, Married-civ-spouse, ?, Husband, Black, Male,2580,0,8, United-States, <=50K.\n22, Private,176178, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,36, United-States, <=50K.\n53, Private,149220, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Federal-gov,188047, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K.\n36, Private,258102, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,185216, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,219701, 12th,8, Divorced, Protective-serv, Not-in-family, White, Male,0,0,37, Cuba, <=50K.\n40, Private,235523, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n35, Private,100375, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1887,45, United-States, >50K.\n41, Private,24273, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n23, Private,224115, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n41, Private,187795, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,60, United-States, >50K.\n26, Private,161007, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Private,262723, Some-college,10, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,33474, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n43, Private,167151, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,60, United-States, <=50K.\n38, Self-emp-inc,222532, Prof-school,15, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n47, Local-gov,48195, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,72, United-States, <=50K.\n23, Private,89089, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n35, Local-gov,179151, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n42, Self-emp-not-inc,192589, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K.\n24, Private,236149, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,50, United-States, <=50K.\n58, Private,110820, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,113464, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,40, Dominican-Republic, <=50K.\n38, Self-emp-not-inc,248929, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n41, Private,257758, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,198660, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,195532, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n17, Private,208046, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,16, United-States, <=50K.\n31, Self-emp-inc,72744, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,30, United-States, <=50K.\n73, ?,65072, 10th,6, Never-married, ?, Not-in-family, White, Male,0,0,12, United-States, <=50K.\n27, Private,313479, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K.\n57, Private,262681, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n54, State-gov,305319, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K.\n40, Private,158958, HS-grad,9, Never-married, Priv-house-serv, Other-relative, Black, Female,0,0,40, Honduras, <=50K.\n23, Self-emp-not-inc,47039, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, Private,150057, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n54, State-gov,55861, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,39, United-States, <=50K.\n32, Self-emp-inc,225053, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,60, United-States, >50K.\n44, Self-emp-not-inc,136986, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K.\n36, ?,342480, 11th,7, Never-married, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n30, ?,335124, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n39, Self-emp-not-inc,29874, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,54, United-States, <=50K.\n36, Private,191146, Some-college,10, Divorced, Sales, Unmarried, Black, Female,0,0,38, United-States, <=50K.\n65, Private,154164, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,20051,0,20, ?, >50K.\n43, Private,287008, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,397877, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,30, United-States, <=50K.\n40, Local-gov,108765, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n23, Private,215251, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n67, Private,132586, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n48, Local-gov,328610, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n59, Private,264048, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, >50K.\n74, ?,98867, 5th-6th,3, Widowed, ?, Not-in-family, Black, Male,0,0,32, United-States, <=50K.\n36, Private,166289, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n19, Private,186328, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Federal-gov,59948, HS-grad,9, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n41, Private,231793, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n43, Local-gov,487770, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,167536, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,250736, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,99, United-States, <=50K.\n18, ?,197057, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K.\n23, Self-emp-not-inc,448026, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n56, Private,217775, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, >50K.\n22, Federal-gov,154394, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n61, Private,244933, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n22, Private,155362, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n48, Private,187563, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,54, United-States, >50K.\n61, ?,108398, 11th,7, Widowed, ?, Unmarried, Black, Female,0,0,9, United-States, <=50K.\n30, Private,69235, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K.\n72, Private,174032, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n31, State-gov,174957, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K.\n71, Self-emp-not-inc,31781, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1510,35, United-States, <=50K.\n49, Private,278322, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n49, Private,144514, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1887,45, United-States, >50K.\n41, Private,255824, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n29, Private,443858, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,114066, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,26, United-States, <=50K.\n30, Private,103860, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,132839, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n51, State-gov,290688, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n45, ?,187439, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,2, United-States, <=50K.\n22, Private,170302, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,1974,45, United-States, <=50K.\n49, Private,74984, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,94774, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K.\n46, Private,72896, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n55, Self-emp-inc,197749, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1573,44, United-States, <=50K.\n28, Private,182509, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-inc,233117, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n36, Local-gov,102729, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,172706, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Self-emp-inc,295254, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Local-gov,101426, HS-grad,9, Never-married, Protective-serv, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n75, Private,185603, 10th,6, Widowed, Tech-support, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n53, Private,289620, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, ?, >50K.\n39, Private,179137, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,222199, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K.\n39, Private,320305, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n23, ?,111340, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,1573,40, United-States, <=50K.\n31, Federal-gov,86150, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,5178,0,40, United-States, >50K.\n60, Private,124648, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,38, United-States, <=50K.\n30, Private,175761, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,2580,0,40, United-States, <=50K.\n23, Private,148948, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,230355, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, Cuba, <=50K.\n55, State-gov,277203, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n77, Self-emp-not-inc,176690, 9th,5, Widowed, Other-service, Not-in-family, White, Female,0,0,40, England, <=50K.\n64, Self-emp-inc,119182, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Greece, <=50K.\n35, Private,181353, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n19, Private,311293, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,25, United-States, <=50K.\n17, ?,132962, 12th,8, Never-married, ?, Own-child, Black, Male,0,0,30, United-States, <=50K.\n45, Private,155478, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, Private,46706, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, <=50K.\n59, Private,142326, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,220454, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Private,105779, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n23, Private,362623, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,1573,30, Mexico, <=50K.\n37, Private,115806, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n29, Private,351324, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,32, United-States, <=50K.\n29, Private,131712, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, ?,181118, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,20, United-States, <=50K.\n19, ?,214087, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Private,181291, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, Italy, <=50K.\n44, Private,146908, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Self-emp-inc,262777, Masters,14, Separated, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0,0,45, China, <=50K.\n53, Local-gov,394765, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,207335, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K.\n23, Private,133712, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,45, United-States, <=50K.\n24, State-gov,105479, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Private,140092, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,53232, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,55, United-States, >50K.\n57, Private,178154, 10th,6, Widowed, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,202203, Bachelors,13, Never-married, Adm-clerical, Unmarried, White, Female,0,0,60, United-States, <=50K.\n50, Private,49340, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Private,106207, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,103064, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Local-gov,79190, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Private,473449, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n48, Private,189498, 11th,7, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,149902, Masters,14, Never-married, Other-service, Unmarried, Black, Female,0,0,28, United-States, <=50K.\n44, Private,150098, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,50, United-States, >50K.\n40, Private,100451, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,193094, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,48, United-States, <=50K.\n37, Private,202950, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n34, Private,161444, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,39, United-States, <=50K.\n33, Self-emp-not-inc,303867, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K.\n36, Private,143912, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n29, ?,42623, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,32, United-States, <=50K.\n37, ?,145064, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K.\n53, Private,199287, 9th,5, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,9, United-States, <=50K.\n48, Private,250733, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n36, Private,372525, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K.\n21, Private,338162, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,37, United-States, <=50K.\n38, Private,154210, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n55, Private,158702, 10th,6, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n29, Private,199118, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, Nicaragua, <=50K.\n59, Private,104455, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n42, Self-emp-not-inc,210013, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n22, Private,440934, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K.\n31, Private,375833, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n41, Private,289551, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7688,0,40, United-States, >50K.\n45, Private,272729, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, State-gov,176185, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,155403, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n47, Federal-gov,239321, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n27, Private,365745, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,20, United-States, <=50K.\n49, Private,107399, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,93394, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K.\n34, Self-emp-not-inc,143078, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Local-gov,283314, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1977,40, United-States, >50K.\n37, Private,194668, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n27, Private,170301, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n31, Self-emp-inc,162442, Masters,14, Never-married, Sales, Own-child, White, Female,27828,0,40, United-States, >50K.\n24, Private,456430, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Private,337424, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,80, United-States, <=50K.\n27, Private,160291, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, Germany, <=50K.\n41, Private,341204, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n28, Private,148084, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,40, Dominican-Republic, <=50K.\n26, Private,102476, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n17, ?,183161, 12th,8, Never-married, ?, Own-child, White, Female,0,0,8, United-States, <=50K.\n17, Private,160029, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,14, United-States, <=50K.\n70, Self-emp-not-inc,152066, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n57, Private,175942, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K.\n64, Private,387669, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,179824, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n23, Private,107882, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n18, ?,65249, 12th,8, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n47, Self-emp-not-inc,267879, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,3103,0,50, United-States, >50K.\n54, Private,150999, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, <=50K.\n42, Local-gov,69758, Assoc-acdm,12, Divorced, Protective-serv, Not-in-family, Asian-Pac-Islander, Male,0,0,48, United-States, >50K.\n23, Private,180795, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n28, Private,257283, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n40, Private,196344, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,1672,30, Mexico, <=50K.\n32, Private,155151, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n35, Self-emp-not-inc,368140, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K.\n17, Private,95079, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n37, ?,254773, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,181659, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, ?,215620, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,12, United-States, <=50K.\n29, Private,169104, HS-grad,9, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Male,0,0,75, Thailand, <=50K.\n33, Local-gov,100446, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n46, Private,189680, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,376474, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K.\n44, Private,112494, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, ?,212491, HS-grad,9, Divorced, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n68, Local-gov,254218, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,24, United-States, <=50K.\n34, Private,421200, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n19, Private,426589, HS-grad,9, Married-spouse-absent, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n27, Private,335015, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,65, United-States, <=50K.\n25, Private,78605, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Self-emp-inc,123749, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,90, United-States, <=50K.\n31, Private,245500, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,25, ?, <=50K.\n32, Private,226443, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n31, Self-emp-not-inc,150630, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n27, Private,257124, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n36, Private,127865, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,4650,0,25, United-States, <=50K.\n50, Private,27432, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n31, Private,161765, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n42, Private,42703, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n27, Private,209641, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,93131, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,1055,0,20, China, <=50K.\n46, Private,191821, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,410009, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n37, Private,334291, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,2258,40, United-States, <=50K.\n58, Self-emp-inc,274363, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K.\n17, Private,102456, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K.\n35, State-gov,102268, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K.\n46, Private,220979, Some-college,10, Divorced, Tech-support, Not-in-family, Amer-Indian-Eskimo, Male,13550,0,40, United-States, >50K.\n35, ?,111377, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K.\n36, Private,187847, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,40052, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,133375, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K.\n46, Private,226032, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,16, United-States, >50K.\n27, Private,211032, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,392812, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n34, Federal-gov,174724, Assoc-voc,11, Divorced, Adm-clerical, Own-child, Black, Female,1831,0,40, United-States, <=50K.\n50, Local-gov,363405, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n19, Private,42750, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n40, Self-emp-not-inc,174112, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K.\n65, Self-emp-not-inc,326936, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,188069, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K.\n48, Private,366089, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n32, Private,162160, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,114937, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,6849,0,40, United-States, <=50K.\n61, Private,189932, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K.\n57, Private,168447, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,154210, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,1902,45, Japan, >50K.\n29, Private,211331, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, Mexico, <=50K.\n57, Private,157749, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n72, Self-emp-inc,84587, 5th-6th,3, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,20, Japan, <=50K.\n27, Private,269246, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,3464,0,45, United-States, <=50K.\n26, Private,305129, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n63, Private,253556, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n58, Self-emp-inc,229116, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, >50K.\n45, Private,111381, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K.\n41, Private,121201, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Local-gov,271836, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,50, United-States, >50K.\n47, Private,116641, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,4, France, <=50K.\n37, Private,171524, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, ?, <=50K.\n52, Private,145409, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,174575, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n38, State-gov,149135, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n32, Private,234096, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Local-gov,210973, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n37, Local-gov,269323, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n69, Private,29087, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,6, United-States, <=50K.\n27, Self-emp-not-inc,177831, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Hungary, <=50K.\n39, Self-emp-not-inc,167106, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,72, South, <=50K.\n56, Private,118993, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n26, Private,102875, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, India, <=50K.\n89, ?,29106, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K.\n32, Private,101103, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,135020, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,75, United-States, >50K.\n26, Private,182390, 11th,7, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n53, Private,174102, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n19, ?,138153, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n23, Private,162282, Assoc-acdm,12, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n51, Private,280292, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Local-gov,307294, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n57, Private,94156, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,84, United-States, >50K.\n59, ?,199033, 9th,5, Married-civ-spouse, ?, Wife, Black, Female,0,0,32, United-States, <=50K.\n61, Private,57408, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n41, Private,210922, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,55, ?, <=50K.\n20, Private,138994, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K.\n22, Private,416103, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K.\n42, Private,166740, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,50, United-States, >50K.\n47, Self-emp-inc,139268, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n21, State-gov,165474, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,30, United-States, <=50K.\n37, Private,100316, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n28, ?,49028, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Self-emp-inc,85566, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n27, Private,58150, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n55, Self-emp-not-inc,376548, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n20, Private,398166, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n43, Private,86797, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,161819, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K.\n19, Private,187125, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n30, Private,226535, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,4865,0,40, United-States, <=50K.\n23, Self-emp-inc,216889, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K.\n65, Self-emp-not-inc,135517, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,336951, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n44, State-gov,101603, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n32, Local-gov,205931, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K.\n40, Federal-gov,105119, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Self-emp-not-inc,200316, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n17, Private,132859, 10th,6, Never-married, Other-service, Other-relative, White, Male,0,0,35, United-States, <=50K.\n57, Private,137031, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Local-gov,184975, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,165539, HS-grad,9, Never-married, Prof-specialty, Not-in-family, Black, Female,4101,0,40, Jamaica, <=50K.\n26, Private,48099, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Private,47012, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K.\n60, Local-gov,195409, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,52, United-States, >50K.\n54, Private,20795, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, State-gov,484879, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,276087, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K.\n37, Federal-gov,45937, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,48, United-States, >50K.\n48, Federal-gov,102359, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n30, Private,186824, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,203914, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n30, Self-emp-not-inc,209808, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,228516, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n62, Private,49424, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K.\n25, Private,359067, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K.\n55, Self-emp-not-inc,340171, HS-grad,9, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n19, Private,142037, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n28, Local-gov,157437, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,4650,0,48, United-States, <=50K.\n47, State-gov,142287, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n35, State-gov,189794, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n37, Private,258289, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,352849, HS-grad,9, Never-married, Sales, Other-relative, Black, Female,0,1719,30, United-States, <=50K.\n37, Private,162322, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,200295, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n26, ?,296372, HS-grad,9, Divorced, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n54, Local-gov,190333, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,211518, Bachelors,13, Divorced, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n70, Private,264098, 10th,6, Widowed, Transport-moving, Not-in-family, White, Female,2538,0,40, United-States, <=50K.\n43, Private,393762, Some-college,10, Separated, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n49, Local-gov,181970, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-inc,110901, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,55, United-States, >50K.\n21, Private,92863, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,111368, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, ?,83601, 12th,8, Widowed, ?, Unmarried, White, Female,0,0,70, United-States, <=50K.\n47, Private,164682, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, ?, <=50K.\n37, Private,166549, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Private,176566, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,3103,0,40, United-States, >50K.\n18, Private,201613, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,5, United-States, <=50K.\n27, Private,285294, Assoc-acdm,12, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,60, United-States, <=50K.\n75, Private,100301, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n22, Private,120320, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n29, Local-gov,218650, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,339482, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n64, Private,301352, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Local-gov,225978, Assoc-voc,11, Separated, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n39, Private,337778, Some-college,10, Divorced, Sales, Not-in-family, White, Male,4650,0,40, United-States, <=50K.\n49, Private,241350, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,40, United-States, >50K.\n36, Private,266645, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K.\n18, Private,100863, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n55, Local-gov,227386, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,315971, Masters,14, Divorced, Other-service, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n20, Private,177287, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n20, Private,169022, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n50, Private,205803, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n22, Federal-gov,277700, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,20, United-States, <=50K.\n24, Self-emp-not-inc,166371, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n20, ?,295763, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n75, Self-emp-inc,152519, Doctorate,16, Widowed, Prof-specialty, Not-in-family, White, Male,25124,0,20, United-States, >50K.\n44, Private,438696, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n41, Self-emp-inc,34266, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n19, Private,136391, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,20, United-States, <=50K.\n38, Private,435638, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,1876,40, United-States, <=50K.\n23, Private,51973, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,50, Japan, <=50K.\n40, Private,109800, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n41, Federal-gov,260761, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Private,109015, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, >50K.\n35, Private,272944, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,290498, Preschool,1, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, Mexico, <=50K.\n25, Private,176864, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n64, State-gov,169914, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n55, Private,205759, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n63, Private,271075, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,29, United-States, <=50K.\n19, Private,239995, 11th,7, Never-married, Sales, Other-relative, White, Male,0,0,16, United-States, <=50K.\n27, Private,65663, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, ?,259865, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, Mexico, <=50K.\n42, Self-emp-not-inc,34722, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n37, Private,225821, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1485,40, United-States, >50K.\n39, Private,191503, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n46, ?,110243, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,1977,20, United-States, >50K.\n30, Self-emp-not-inc,227429, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, Yugoslavia, <=50K.\n52, Private,174452, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,209085, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K.\n54, Private,192386, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,38, United-States, >50K.\n19, ?,234877, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Private,320862, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Private,535027, Some-college,10, Never-married, Transport-moving, Unmarried, Black, Male,0,0,15, United-States, <=50K.\n33, Private,137421, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,35, Japan, <=50K.\n46, Private,195727, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K.\n49, Self-emp-not-inc,163229, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n31, Private,50753, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K.\n49, Private,173503, 12th,8, Divorced, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K.\n17, Federal-gov,29078, 11th,7, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,15, United-States, <=50K.\n35, Private,360743, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,55, United-States, <=50K.\n39, Self-emp-inc,142149, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,20, United-States, >50K.\n26, Private,464552, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n59, Private,47444, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,74, United-States, >50K.\n37, Private,24721, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K.\n53, Private,187492, Bachelors,13, Divorced, Craft-repair, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n50, Private,229318, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,50, Trinadad&Tobago, <=50K.\n48, Private,358382, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,52, United-States, <=50K.\n60, State-gov,119832, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,414166, 12th,8, Never-married, Other-service, Own-child, Black, Female,0,0,32, United-States, <=50K.\n35, Private,147638, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, Hong, <=50K.\n26, Self-emp-not-inc,33016, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,55, United-States, <=50K.\n20, ?,386962, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, Mexico, <=50K.\n32, Private,39248, Bachelors,13, Never-married, Tech-support, Not-in-family, Other, Male,0,0,40, United-States, <=50K.\n69, Private,232683, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,15, France, >50K.\n31, Self-emp-not-inc,55912, 9th,5, Never-married, Craft-repair, Unmarried, White, Male,0,0,47, United-States, <=50K.\n35, Private,113152, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n65, Self-emp-inc,150095, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n63, Private,114424, Some-college,10, Separated, Machine-op-inspct, Other-relative, Black, Female,0,0,37, United-States, <=50K.\n26, ?,408417, Some-college,10, Married-AF-spouse, ?, Husband, Black, Male,0,0,38, United-States, <=50K.\n29, Private,163167, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n48, Private,86009, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n35, Federal-gov,316582, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,7298,0,40, United-States, >50K.\n50, Self-emp-not-inc,165219, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K.\n21, Private,99829, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n47, Private,275095, 9th,5, Widowed, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K.\n42, Private,167650, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, United-States, <=50K.\n52, Self-emp-not-inc,141820, 10th,6, Divorced, Other-service, Own-child, White, Female,0,0,27, United-States, <=50K.\n29, Private,108253, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Other, Female,0,0,40, United-States, <=50K.\n41, Private,156526, Some-college,10, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-inc,185366, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n43, Self-emp-inc,314739, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,92, United-States, >50K.\n20, Private,336101, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n38, Private,49115, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n35, Self-emp-inc,186488, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, Puerto-Rico, <=50K.\n18, ?,158826, 12th,8, Never-married, ?, Own-child, Black, Female,0,0,15, United-States, <=50K.\n24, Private,218415, 11th,7, Separated, Handlers-cleaners, Other-relative, White, Female,0,0,40, United-States, <=50K.\n27, Private,76978, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n47, Private,213408, 9th,5, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, Cuba, <=50K.\n44, Private,181265, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n18, Local-gov,242956, 11th,7, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K.\n30, Private,226696, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,186932, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,75, United-States, <=50K.\n50, Federal-gov,107079, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,154950, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,48597, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n40, Private,196344, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,45, United-States, >50K.\n37, Self-emp-inc,152414, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n61, Private,222966, 9th,5, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,272671, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n26, Private,235520, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,232766, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n40, Private,309990, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,8614,0,60, United-States, >50K.\n40, Private,95639, HS-grad,9, Separated, Handlers-cleaners, Unmarried, Amer-Indian-Eskimo, Male,0,0,45, United-States, <=50K.\n20, ?,177161, HS-grad,9, Never-married, ?, Own-child, Other, Female,0,0,45, United-States, <=50K.\n51, Local-gov,133963, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,35, ?, <=50K.\n45, Self-emp-not-inc,240786, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n44, Local-gov,141186, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,8614,0,35, United-States, >50K.\n65, Private,109221, 7th-8th,4, Widowed, Priv-house-serv, Not-in-family, White, Female,0,3175,60, Puerto-Rico, <=50K.\n29, Private,337953, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,2885,0,40, United-States, <=50K.\n49, State-gov,189762, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K.\n18, ?,40190, 12th,8, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n66, Private,171824, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n48, Private,83545, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K.\n28, Private,142712, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,37, United-States, >50K.\n19, Private,91893, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K.\n23, Private,443701, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n40, Private,438427, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n53, Self-emp-inc,69372, Doctorate,16, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K.\n49, Private,243190, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,109762, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n22, Private,91189, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n56, Federal-gov,205805, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n48, Local-gov,212050, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,152652, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n18, Private,157193, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,30, Italy, <=50K.\n32, Private,36592, 11th,7, Never-married, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K.\n39, Private,192664, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Federal-gov,99280, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n54, Private,168621, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,127048, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n29, Private,167610, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n36, Private,108320, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n21, Private,369643, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n27, Private,232388, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,4386,0,40, United-States, >50K.\n28, Private,513719, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, Private,27073, Some-college,10, Never-married, Adm-clerical, Unmarried, Other, Female,0,0,40, United-States, <=50K.\n54, Private,105428, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,167284, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,320615, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K.\n27, Local-gov,47284, HS-grad,9, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n42, Private,45156, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,166269, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K.\n28, Federal-gov,236418, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n21, Private,311478, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,45, United-States, <=50K.\n50, Private,256908, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n20, Private,256796, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n27, Private,168138, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,244413, 12th,8, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,30, Ecuador, <=50K.\n66, ?,52728, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n23, ?,223019, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K.\n23, Private,215443, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n41, Private,99665, 9th,5, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,80, United-States, <=50K.\n39, Private,243485, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n38, Private,169872, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,3887,0,45, United-States, <=50K.\n46, Private,116338, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,109989, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,144401, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K.\n23, Local-gov,199555, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,1590,40, United-States, <=50K.\n33, Self-emp-not-inc,105229, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,185216, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,155278, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,371408, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,47, United-States, <=50K.\n56, Private,177271, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n38, Private,234891, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n21, Private,356286, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n60, ?,225894, Preschool,1, Widowed, ?, Not-in-family, White, Female,0,0,40, Guatemala, <=50K.\n19, Private,181781, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,28, United-States, <=50K.\n23, Private,197756, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,35, United-States, <=50K.\n69, Local-gov,216269, Assoc-acdm,12, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Private,33931, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,151584, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K.\n53, Private,286085, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n56, Self-emp-not-inc,111385, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n35, Private,280966, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,221178, HS-grad,9, Separated, Other-service, Other-relative, White, Male,0,0,28, United-States, <=50K.\n60, Private,74422, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,44, Mexico, <=50K.\n21, Private,103031, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K.\n46, State-gov,209739, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,38, United-States, <=50K.\n23, State-gov,112137, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,40, Canada, <=50K.\n26, Private,138537, 11th,7, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,50, United-States, <=50K.\n72, Private,135378, 7th-8th,4, Widowed, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n48, Private,175006, 1st-4th,2, Separated, Machine-op-inspct, Other-relative, Black, Male,0,0,48, United-States, <=50K.\n26, Private,182194, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Private,194686, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,15, United-States, <=50K.\n27, Private,70034, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Federal-gov,439263, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K.\n72, Private,74749, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,17, United-States, <=50K.\n26, Private,231638, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n50, Private,197623, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n22, ?,148409, Some-college,10, Never-married, ?, Own-child, White, Male,0,1721,40, United-States, <=50K.\n17, ?,40299, 10th,6, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n46, Self-emp-not-inc,96260, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n47, Self-emp-not-inc,62143, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,40, United-States, >50K.\n22, Private,193027, HS-grad,9, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K.\n24, ?,334105, 11th,7, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n46, Private,31411, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, ?, <=50K.\n60, Private,140516, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Private,155963, 9th,5, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n58, Self-emp-not-inc,119891, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, United-States, >50K.\n32, Private,206609, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n41, Private,425444, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,50, United-States, >50K.\n52, Private,114674, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,52, United-States, >50K.\n54, Federal-gov,57679, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n48, Private,213140, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n52, Local-gov,295494, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n46, Private,182862, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,32, United-States, <=50K.\n50, Private,178529, 11th,7, Divorced, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,214031, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, <=50K.\n17, Private,350538, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n29, Private,238073, Some-college,10, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Columbia, <=50K.\n29, Private,194640, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,139770, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K.\n21, Private,164177, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Private,99470, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n61, Private,359367, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n72, Local-gov,45612, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,16, United-States, <=50K.\n33, Private,127651, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n34, Private,193132, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n26, Local-gov,314798, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, >50K.\n33, Private,108438, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n41, Private,165815, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n18, ?,136172, 11th,7, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K.\n24, Private,127159, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,24, ?, <=50K.\n18, ?,220168, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,16, United-States, <=50K.\n55, Private,127677, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n42, Private,119941, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,93699, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n46, Federal-gov,196649, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K.\n18, Private,332763, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K.\n36, Private,158363, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n38, Private,249039, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,3103,0,40, United-States, >50K.\n39, Private,454585, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,54, Mexico, <=50K.\n31, Private,121321, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,229148, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n18, Private,221284, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,64, United-States, <=50K.\n38, Private,428251, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-inc,77660, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n21, Private,139722, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n33, State-gov,171151, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n51, Private,94819, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K.\n44, Private,214546, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K.\n45, Self-emp-inc,190482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n22, Private,283029, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,54, United-States, <=50K.\n48, ?,142719, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,48, United-States, >50K.\n40, Private,244172, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Local-gov,120238, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K.\n29, Private,66095, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K.\n46, Private,129232, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n41, Private,44121, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n31, Private,243678, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Private,118786, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n39, Self-emp-not-inc,176900, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, >50K.\n50, Private,155574, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K.\n41, Private,76625, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,192254, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,15, United-States, <=50K.\n35, Private,238802, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n22, Private,247731, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n18, Private,397606, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, ?,370057, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n62, ?,190873, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n50, Local-gov,145879, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n52, Private,618130, HS-grad,9, Divorced, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n24, Private,542762, Bachelors,13, Never-married, Sales, Other-relative, Black, Male,0,0,50, United-States, <=50K.\n31, Private,144124, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,190539, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n33, Private,92462, Assoc-acdm,12, Never-married, Sales, Unmarried, Black, Male,0,0,32, United-States, <=50K.\n48, Private,129974, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n62, State-gov,254890, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,261207, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Cuba, >50K.\n39, Self-emp-inc,206362, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,27804, Some-college,10, Divorced, Priv-house-serv, Unmarried, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K.\n57, Self-emp-not-inc,771836, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K.\n29, Private,101108, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n49, Private,255466, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K.\n30, Local-gov,204494, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,70, Germany, <=50K.\n53, Private,271918, 9th,5, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n17, Private,152619, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n59, Private,107318, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,130773, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K.\n20, ?,117210, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n48, Private,148549, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n64, Private,181530, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,365739, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n54, Local-gov,182429, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Female,0,0,38, United-States, <=50K.\n41, Private,381510, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K.\n45, Self-emp-not-inc,116789, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n36, Self-emp-inc,196554, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, >50K.\n27, Private,335878, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,45, United-States, <=50K.\n25, Private,184120, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n39, Private,260084, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,24, United-States, <=50K.\n44, Private,160369, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n22, Private,164901, 11th,7, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n21, ?,96844, HS-grad,9, Married-civ-spouse, ?, Other-relative, White, Female,0,0,40, United-States, <=50K.\n56, Private,124566, 5th-6th,3, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,473133, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n44, Private,335223, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n53, Private,380086, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,48, United-States, >50K.\n32, Private,198265, 1st-4th,2, Never-married, Exec-managerial, Own-child, White, Male,0,0,21, United-States, <=50K.\n33, ?,32207, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,75, United-States, <=50K.\n60, Private,288684, 5th-6th,3, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K.\n35, Private,302604, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n58, Private,170290, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n53, Self-emp-inc,195398, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1887,48, Canada, >50K.\n54, Local-gov,256923, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n26, Private,464552, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, Mexico, <=50K.\n27, Private,112754, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,56, United-States, <=50K.\n59, Private,176118, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,7, United-States, >50K.\n63, ?,316627, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n70, Private,146628, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3471,0,33, United-States, <=50K.\n26, Private,108822, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n28, Private,208608, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K.\n22, Private,317019, 11th,7, Separated, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n24, Private,250978, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,75, United-States, <=50K.\n46, Private,224559, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K.\n56, State-gov,138593, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,175614, 10th,6, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n24, Private,396099, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,122493, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K.\n53, Local-gov,182677, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,50, Philippines, <=50K.\n57, State-gov,247624, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,210458, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Mexico, <=50K.\n25, Private,91639, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n29, Private,334096, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n21, ?,183945, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K.\n47, Private,78022, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n51, Self-emp-inc,318351, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,1741,40, United-States, <=50K.\n23, Private,233280, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,8614,0,70, United-States, >50K.\n22, Private,100188, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K.\n29, Private,85572, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K.\n50, Self-emp-not-inc,61735, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, >50K.\n23, Private,206827, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n21, Private,210053, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n38, Local-gov,172016, Bachelors,13, Divorced, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K.\n19, ?,138153, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n31, ?,183855, 11th,7, Never-married, ?, Unmarried, White, Female,0,0,20, United-States, <=50K.\n30, Private,188362, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K.\n42, Private,191429, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K.\n52, Private,357596, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K.\n25, Local-gov,278404, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,180339, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,35, United-States, <=50K.\n43, Private,355431, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n33, Private,223212, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n34, Private,116371, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n41, ?,199018, Some-college,10, Divorced, ?, Not-in-family, White, Male,0,1504,40, United-States, <=50K.\n43, Private,435266, Doctorate,16, Separated, Exec-managerial, Not-in-family, White, Female,14084,0,60, United-States, >50K.\n61, Private,345697, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K.\n49, Private,253973, 10th,6, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, ?,191149, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,28, United-States, >50K.\n42, Private,197344, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K.\n23, Private,437161, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n72, ?,94268, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K.\n50, Self-emp-inc,207841, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K.\n34, Private,46492, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n47, State-gov,190325, Some-college,10, Divorced, Tech-support, Unmarried, Black, Female,0,0,48, United-States, <=50K.\n48, Private,158944, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,0,0,60, United-States, >50K.\n37, Private,228598, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,0,40, Mexico, <=50K.\n23, Private,349156, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n17, ?,246974, 12th,8, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n66, Private,386120, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,10605,0,40, United-States, >50K.\n26, Private,220678, 5th-6th,3, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,40, Dominican-Republic, <=50K.\n41, Private,462964, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,2174,0,50, United-States, <=50K.\n19, Private,158603, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,37, United-States, <=50K.\n26, ?,167261, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n34, Private,412933, 12th,8, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,55, United-States, <=50K.\n59, Local-gov,167027, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,194829, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n47, Private,145636, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, >50K.\n57, ?,123632, Bachelors,13, Never-married, ?, Not-in-family, Black, Female,0,0,35, United-States, <=50K.\n49, Private,27614, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,324854, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,22245, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, Outlying-US(Guam-USVI-etc), <=50K.\n31, Private,101352, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n39, ?,238721, Bachelors,13, Divorced, ?, Own-child, Black, Female,0,0,40, United-States, <=50K.\n22, Private,289982, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,399449, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n39, ?,142804, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,16, United-States, <=50K.\n26, Private,121427, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n41, Private,230959, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n42, Private,191342, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K.\n64, Private,285610, 11th,7, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,207369, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n25, Federal-gov,80485, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, State-gov,33474, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n45, Private,173658, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K.\n36, Local-gov,202207, HS-grad,9, Married-spouse-absent, Protective-serv, Not-in-family, White, Male,0,0,69, Germany, >50K.\n36, Private,174242, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K.\n22, Private,349212, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n17, ?,54978, 7th-8th,4, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n25, State-gov,81993, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,46, United-States, <=50K.\n47, Private,311395, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n18, ?,149017, 12th,8, Never-married, ?, Own-child, White, Male,0,0,10, United-States, <=50K.\n34, Self-emp-not-inc,156532, 7th-8th,4, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n44, Private,53470, Bachelors,13, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n27, Private,212578, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K.\n25, Private,227465, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,423605, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n48, Private,149337, Assoc-acdm,12, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n27, State-gov,38353, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Local-gov,325385, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n17, Private,196252, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K.\n35, Private,110538, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, United-States, <=50K.\n75, Private,71385, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n34, Private,178449, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,45, United-States, >50K.\n28, Federal-gov,366533, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,336326, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,1151,0,40, United-States, <=50K.\n23, Private,335439, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,1741,50, United-States, <=50K.\n40, Private,184471, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Federal-gov,133526, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,618808, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n22, Private,408385, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,156192, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,126569, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n40, Private,300773, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Private,152109, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n19, Private,260275, 11th,7, Separated, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n17, Private,209650, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n73, Private,573446, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, <=50K.\n41, Private,253189, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,200426, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,18, United-States, <=50K.\n24, Private,109667, Masters,14, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K.\n41, ?,173651, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,99, United-States, <=50K.\n34, Local-gov,432204, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,80, United-States, <=50K.\n28, Private,252013, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,45, Japan, <=50K.\n68, ?,461484, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,1648,10, United-States, >50K.\n19, Private,191889, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,25, United-States, <=50K.\n42, Private,112507, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K.\n36, Private,224531, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, >50K.\n24, ?,83783, 7th-8th,4, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n46, Self-emp-not-inc,346783, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,35, Cuba, >50K.\n48, Federal-gov,72896, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,171393, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1740,40, United-States, <=50K.\n27, Private,294931, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, Germany, <=50K.\n26, Private,198986, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n19, ?,264767, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n55, Self-emp-not-inc,225623, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n17, ?,48610, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,14, United-States, <=50K.\n57, Private,113974, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n43, Private,334991, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n24, Private,362059, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,32, United-States, <=50K.\n37, Private,389725, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K.\n25, Private,330774, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,149910, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K.\n49, Self-emp-inc,99401, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n22, Private,104266, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n21, Private,136440, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,15, South, <=50K.\n84, Private,65478, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,40, England, <=50K.\n24, Private,56121, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, Mexico, <=50K.\n44, Private,143939, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Private,231853, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,1902,40, United-States, >50K.\n20, Private,267706, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,38, United-States, <=50K.\n37, Private,328301, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,4934,0,60, United-States, >50K.\n30, Private,36340, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K.\n19, Private,112780, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n51, Private,113045, Masters,14, Widowed, Exec-managerial, Unmarried, White, Male,15020,0,40, United-States, >50K.\n52, Private,196504, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n50, State-gov,136216, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n34, Local-gov,158242, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K.\n53, Private,180062, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,206888, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,77370, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n49, Self-emp-not-inc,349151, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3411,0,40, United-States, <=50K.\n52, Private,113843, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K.\n48, State-gov,176917, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n58, ?,226078, 11th,7, Divorced, ?, Unmarried, Black, Female,0,0,32, United-States, <=50K.\n30, Local-gov,177828, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Private,137304, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n35, Private,138441, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,30840, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n42, Private,149546, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,30, United-States, <=50K.\n29, Private,145182, HS-grad,9, Never-married, Protective-serv, Own-child, Black, Female,0,0,20, United-States, <=50K.\n25, Local-gov,270379, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n18, Self-emp-inc,378036, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K.\n19, Private,118535, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n19, Private,239057, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n80, Private,107740, HS-grad,9, Widowed, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n61, Private,194804, Preschool,1, Separated, Transport-moving, Not-in-family, Black, Male,14344,0,40, United-States, >50K.\n46, Self-emp-not-inc,225065, Bachelors,13, Separated, Other-service, Unmarried, White, Female,0,0,45, Nicaragua, <=50K.\n27, Private,165412, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K.\n26, Private,211199, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, State-gov,172962, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Private,190748, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n38, Federal-gov,455379, 12th,8, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, >50K.\n28, Private,112917, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, Other, Male,0,0,40, Mexico, <=50K.\n34, Private,299383, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n36, Private,22245, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,49683, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K.\n65, Local-gov,32846, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,2964,0,35, United-States, <=50K.\n35, Private,46947, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n65, Private,165609, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, United-States, <=50K.\n39, Private,226894, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n35, Private,143231, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,44, United-States, >50K.\n33, Private,173730, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,259425, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Private,168747, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, ?,210652, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K.\n25, Private,40915, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,180303, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,70, South, <=50K.\n49, Private,182541, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1485,40, United-States, >50K.\n29, Private,67306, HS-grad,9, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n20, ?,38032, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Federal-gov,257395, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,29261, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n19, Private,205977, Some-college,10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K.\n22, ?,216639, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,1974,40, United-States, <=50K.\n17, Private,134768, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n49, Private,32184, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n23, Private,138037, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,1590,50, United-States, <=50K.\n49, Private,174426, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K.\n45, Private,50162, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Federal-gov,193998, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,187901, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n56, Private,82050, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K.\n18, ?,20057, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,16, United-States, <=50K.\n35, Private,144200, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Other, Male,0,0,25, Columbia, <=50K.\n80, Self-emp-not-inc,29441, 7th-8th,4, Married-spouse-absent, Farming-fishing, Unmarried, White, Male,0,0,15, United-States, <=50K.\n65, Private,195695, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Private,274502, Some-college,10, Widowed, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K.\n76, ?,239900, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,3, United-States, <=50K.\n22, Private,191954, Assoc-voc,11, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K.\n33, Private,172304, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n44, Local-gov,174575, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n20, Private,325744, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K.\n43, Private,26252, Some-college,10, Separated, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,36, United-States, <=50K.\n57, Private,176904, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Self-emp-not-inc,504871, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Self-emp-not-inc,141702, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n30, Private,399088, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K.\n32, Local-gov,409282, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Private,532969, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,40, Nicaragua, <=50K.\n21, ?,213366, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,38, United-States, <=50K.\n36, Private,188888, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,24126, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n61, Self-emp-not-inc,151369, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,30, United-States, >50K.\n18, Private,115759, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n59, Self-emp-inc,171355, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,0,0,55, United-States, <=50K.\n18, Private,310175, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n44, Private,216116, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, Jamaica, <=50K.\n23, Private,204141, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n44, Private,212894, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Greece, <=50K.\n49, Private,120121, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K.\n59, Self-emp-not-inc,190997, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,36, United-States, <=50K.\n36, Private,224566, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,99999,0,45, United-States, >50K.\n30, Private,235847, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K.\n56, ?,124319, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,193807, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1741,40, United-States, <=50K.\n69, Self-emp-not-inc,215926, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K.\n19, ?,455665, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,44, United-States, <=50K.\n36, Private,36423, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, <=50K.\n42, Private,32878, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,42, United-States, >50K.\n25, Private,96862, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,2174,0,40, United-States, <=50K.\n17, Private,187879, 9th,5, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n40, Local-gov,36296, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n40, Private,75615, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,43, United-States, <=50K.\n17, Private,168807, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n24, State-gov,161783, Bachelors,13, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, ?, <=50K.\n40, State-gov,13492, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male,0,0,84, United-States, <=50K.\n65, Private,119769, HS-grad,9, Widowed, Priv-house-serv, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n38, Private,313914, Bachelors,13, Separated, Farming-fishing, Unmarried, White, Female,0,0,45, United-States, <=50K.\n33, Private,172584, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,1590,50, United-States, <=50K.\n28, Private,112425, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Private,157783, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,35, Vietnam, <=50K.\n34, Private,356882, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Private,156852, Assoc-voc,11, Widowed, Tech-support, Unmarried, White, Female,0,0,8, United-States, <=50K.\n63, Self-emp-not-inc,175177, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n28, Private,425127, 9th,5, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,35, United-States, <=50K.\n30, Local-gov,99761, Assoc-voc,11, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n36, Private,272950, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n43, Self-emp-not-inc,174295, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Local-gov,157678, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,2036,0,42, United-States, <=50K.\n52, Private,186224, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,142587, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K.\n46, Private,131091, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n43, Self-emp-not-inc,71269, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n54, Private,311551, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, <=50K.\n22, Self-emp-inc,171041, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,140915, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,60, South, <=50K.\n46, Private,41223, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n46, Self-emp-inc,292569, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,65, United-States, >50K.\n44, Private,132921, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n59, Self-emp-inc,177271, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,84, United-States, >50K.\n58, Self-emp-inc,314482, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,310531, 10th,6, Separated, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n29, Private,145490, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Private,181200, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,1564,40, United-States, >50K.\n29, Private,152951, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, Canada, >50K.\n40, Private,85668, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n30, Private,316606, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,2339,50, United-States, <=50K.\n38, Private,220694, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n24, Private,408585, 7th-8th,4, Married-civ-spouse, Farming-fishing, Own-child, White, Female,0,0,45, Mexico, <=50K.\n42, Federal-gov,36699, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,104280, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,97254, 11th,7, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Male,4101,0,40, United-States, <=50K.\n35, Private,186420, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n44, Private,112482, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n54, Private,317733, Doctorate,16, Widowed, Tech-support, Unmarried, White, Male,0,2472,40, United-States, >50K.\n56, Private,235136, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Dominican-Republic, <=50K.\n29, Private,229729, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n66, Private,46677, Some-college,10, Widowed, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n48, Federal-gov,277946, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,263727, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n32, Private,74501, Masters,14, Never-married, Sales, Own-child, White, Female,0,0,50, United-States, <=50K.\n34, Private,143776, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,45, ?, >50K.\n69, Private,179130, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,38, United-States, <=50K.\n23, State-gov,386568, Some-college,10, Separated, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n22, Private,413110, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,15, United-States, <=50K.\n45, Private,72618, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n45, Private,102288, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,321851, Assoc-voc,11, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, Private,180871, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,124483, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,50, India, <=50K.\n43, Private,72791, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,5178,0,40, United-States, >50K.\n47, State-gov,263215, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,80, United-States, <=50K.\n34, Local-gov,207668, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,41, United-States, >50K.\n30, Private,198953, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n48, Private,38819, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,75, United-States, <=50K.\n43, Private,107306, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, Canada, <=50K.\n20, Private,161962, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K.\n83, Private,192305, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K.\n42, Private,449925, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K.\n42, Local-gov,131167, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n30, Local-gov,268482, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n34, State-gov,103642, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1651,40, United-States, <=50K.\n43, Private,201723, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,186224, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n39, Self-emp-not-inc,139703, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,48, United-States, >50K.\n33, Private,397995, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Private,259323, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n18, State-gov,427515, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K.\n21, ?,187937, Some-college,10, Never-married, ?, Other-relative, White, Female,0,0,52, United-States, <=50K.\n34, Private,177437, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n32, Private,162442, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n48, Private,83407, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n61, ?,265201, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,14, United-States, <=50K.\n19, Private,109005, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n55, Local-gov,56915, HS-grad,9, Divorced, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Male,0,0,8, United-States, <=50K.\n37, Private,210830, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K.\n24, Private,194848, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Private,109351, Assoc-voc,11, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,105813, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3908,0,72, United-States, <=50K.\n32, Private,123430, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K.\n44, Private,105896, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n35, Self-emp-not-inc,135020, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Germany, <=50K.\n27, Private,136077, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n18, Private,151463, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K.\n43, Private,73333, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,2174,0,40, United-States, <=50K.\n51, Local-gov,43705, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,54, United-States, >50K.\n26, Private,320465, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n23, Private,237811, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, Trinadad&Tobago, <=50K.\n41, State-gov,190910, HS-grad,9, Married-civ-spouse, Farming-fishing, Other-relative, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-inc,348326, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n41, Private,163287, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,62, United-States, <=50K.\n31, Private,97723, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n56, State-gov,160383, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n39, Federal-gov,263690, Masters,14, Married-civ-spouse, Other-service, Husband, Black, Male,3137,0,40, Trinadad&Tobago, <=50K.\n42, Private,278926, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,189017, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,87546, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K.\n23, Local-gov,145112, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,43, United-States, <=50K.\n55, Private,107308, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n79, Local-gov,132668, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K.\n47, Private,175600, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,176608, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K.\n37, Private,217054, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Local-gov,244813, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,77373, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,135823, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,174864, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, United-States, >50K.\n45, Private,121676, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, >50K.\n38, Private,108140, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n46, Private,185041, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K.\n47, Self-emp-inc,144579, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,90, United-States, <=50K.\n26, Private,143280, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n41, Private,242804, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,156926, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n55, Self-emp-inc,103948, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n28, Private,249720, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,203635, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,65, United-States, >50K.\n31, Private,136721, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,114865, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n23, Private,166517, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,96219, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K.\n48, Private,236197, 12th,8, Widowed, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Guatemala, <=50K.\n39, Private,357118, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,1974,40, United-States, <=50K.\n25, Private,193787, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,45, United-States, <=50K.\n27, Private,607658, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n64, Local-gov,47298, Doctorate,16, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K.\n55, Local-gov,258121, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n46, Private,411037, 10th,6, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K.\n23, Private,228724, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n28, Private,179008, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K.\n37, Private,422933, Masters,14, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, >50K.\n27, Private,32452, Masters,14, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K.\n35, Private,54363, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n35, Private,113397, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, Japan, <=50K.\n45, Private,159080, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K.\n59, State-gov,354948, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K.\n31, Private,162572, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K.\n35, Private,108140, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n58, Private,126104, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,65, United-States, <=50K.\n41, Private,145522, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n20, Private,61777, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n39, Private,139057, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,38, India, <=50K.\n31, Private,113129, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,202062, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Male,0,0,40, United-States, <=50K.\n34, Private,31341, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, Private,196125, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,44559, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K.\n33, Self-emp-not-inc,202153, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,40, United-States, <=50K.\n35, Private,238980, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n56, Self-emp-not-inc,156873, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,32805, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n68, Self-emp-not-inc,273088, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K.\n43, Self-emp-not-inc,241055, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n25, Private,157028, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n35, Local-gov,304252, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K.\n57, Private,106910, Assoc-voc,11, Divorced, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, Outlying-US(Guam-USVI-etc), <=50K.\n57, Private,127728, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, >50K.\n37, State-gov,178876, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n18, Private,78181, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K.\n21, ?,212661, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n29, Private,288229, HS-grad,9, Married-civ-spouse, Tech-support, Wife, Asian-Pac-Islander, Female,4386,0,45, United-States, >50K.\n24, Private,205883, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n36, Local-gov,268205, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,52, United-States, <=50K.\n23, Private,113735, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K.\n36, Private,390243, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n52, Private,137984, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K.\n41, Private,160785, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n18, Private,86150, HS-grad,9, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K.\n32, Private,244268, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,48, United-States, <=50K.\n34, Self-emp-inc,177828, HS-grad,9, Divorced, Sales, Unmarried, White, Male,0,0,50, United-States, >50K.\n29, Private,337953, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,36, United-States, <=50K.\n56, Self-emp-not-inc,254711, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K.\n60, Private,127084, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n19, Private,156618, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,1602,20, United-States, <=50K.\n30, Private,201697, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n50, Self-emp-not-inc,187830, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,27828,0,16, United-States, >50K.\n52, Private,240612, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, Peru, >50K.\n66, Self-emp-not-inc,190160, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K.\n28, Private,109001, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Local-gov,297322, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K.\n29, Private,335015, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K.\n50, Private,174964, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Federal-gov,408813, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, >50K.\n37, Private,115332, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, <=50K.\n29, Local-gov,170482, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,2057,40, United-States, <=50K.\n34, Private,113688, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K.\n27, Private,133770, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,2202,0,52, Philippines, <=50K.\n57, Private,161964, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,34572, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, >50K.\n21, Private,198259, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,30, United-States, <=50K.\n73, ?,144872, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, Canada, <=50K.\n57, Private,161944, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,60, United-States, >50K.\n51, Private,29887, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Male,0,1590,40, United-States, <=50K.\n37, Federal-gov,238980, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n42, Private,275677, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n32, Private,24529, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,5178,0,60, United-States, >50K.\n51, Self-emp-not-inc,311631, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n19, Private,105460, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K.\n24, Private,374763, 11th,7, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n25, Private,242136, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n31, Private,112115, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n49, Self-emp-inc,77132, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Canada, >50K.\n81, ?,26711, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,2936,0,20, United-States, <=50K.\n60, Private,117909, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n39, Private,229647, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,1669,40, United-States, <=50K.\n38, Private,149347, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n43, Local-gov,23157, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K.\n23, Private,93977, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n73, Self-emp-inc,159691, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,176967, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n66, Private,344436, HS-grad,9, Widowed, Sales, Other-relative, White, Female,0,0,8, United-States, <=50K.\n27, Private,430340, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n40, Private,202168, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,55, United-States, >50K.\n51, Private,82720, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,269623, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n64, Self-emp-not-inc,136405, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,32, United-States, <=50K.\n50, Local-gov,139347, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, ?, >50K.\n55, Private,224655, HS-grad,9, Separated, Priv-house-serv, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n38, Private,247547, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n58, Private,292710, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,36, United-States, <=50K.\n32, Private,173449, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,285570, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Private,89686, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K.\n31, Private,440129, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,350977, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n48, Local-gov,349230, Masters,14, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,245211, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Private,215419, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n64, ?,321403, HS-grad,9, Widowed, ?, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n38, Private,374983, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n44, Private,83891, Bachelors,13, Divorced, Adm-clerical, Own-child, Asian-Pac-Islander, Male,5455,0,40, United-States, <=50K.\n35, Self-emp-inc,182148, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n" }, { "path": "DaPy/datasets/adult/data.csv", "content": "age,workplace,fnlwgt,education,education-num,marital-status,occupation,relationship,race,sex,capital-gain,capital-loss,hours-per-week,native-county,Earning\n39, State-gov,77516, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,2174,0,40, United-States, <=50K\n50, Self-emp-not-inc,83311, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,13, United-States, <=50K\n38, Private,215646, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,234721, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Private,338409, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, Cuba, <=50K\n37, Private,284582, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n49, Private,160187, 9th,5, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0,0,16, Jamaica, <=50K\n52, Self-emp-not-inc,209642, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n31, Private,45781, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,14084,0,50, United-States, >50K\n42, Private,159449, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K\n37, Private,280464, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,80, United-States, >50K\n30, State-gov,141297, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K\n23, Private,122272, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n32, Private,205019, Assoc-acdm,12, Never-married, Sales, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n40, Private,121772, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K\n34, Private,245487, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,45, Mexico, <=50K\n25, Self-emp-not-inc,176756, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,35, United-States, <=50K\n32, Private,186824, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n38, Private,28887, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n43, Self-emp-not-inc,292175, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, >50K\n40, Private,193524, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n54, Private,302146, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K\n35, Federal-gov,76845, 9th,5, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K\n43, Private,117037, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2042,40, United-States, <=50K\n59, Private,109015, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n56, Local-gov,216851, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,168294, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n54, ?,180211, Some-college,10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,60, South, >50K\n39, Private,367260, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,80, United-States, <=50K\n49, Private,193366, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Local-gov,190709, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, White, Male,0,0,52, United-States, <=50K\n20, Private,266015, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,44, United-States, <=50K\n45, Private,386940, Bachelors,13, Divorced, Exec-managerial, Own-child, White, Male,0,1408,40, United-States, <=50K\n30, Federal-gov,59951, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n22, State-gov,311512, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,15, United-States, <=50K\n48, Private,242406, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, Puerto-Rico, <=50K\n21, Private,197200, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,544091, HS-grad,9, Married-AF-spouse, Adm-clerical, Wife, White, Female,0,0,25, United-States, <=50K\n31, Private,84154, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,38, ?, >50K\n48, Self-emp-not-inc,265477, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,507875, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K\n53, Self-emp-not-inc,88506, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,172987, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n49, Private,94638, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,289980, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,35, United-States, <=50K\n57, Federal-gov,337895, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n53, Private,144361, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, <=50K\n44, Private,128354, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, State-gov,101603, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,271466, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K\n25, Private,32275, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Other, Female,0,0,40, United-States, <=50K\n18, Private,226956, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, ?, <=50K\n47, Private,51835, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,60, Honduras, >50K\n50, Federal-gov,251585, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n47, Self-emp-inc,109832, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n43, Private,237993, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,216666, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n35, Private,56352, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n41, Private,147372, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K\n30, Private,188146, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013,0,40, United-States, <=50K\n30, Private,59496, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,2407,0,40, United-States, <=50K\n32, ?,293936, 7th-8th,4, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,40, ?, <=50K\n48, Private,149640, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,116632, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n29, Private,105598, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,58, United-States, <=50K\n36, Private,155537, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,183175, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Private,169846, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n49, Self-emp-inc,191681, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n25, ?,200681, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,101509, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,32, United-States, <=50K\n31, Private,309974, Bachelors,13, Separated, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,162298, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n23, Private,211678, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n79, Private,124744, Some-college,10, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0,0,20, United-States, <=50K\n27, Private,213921, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Mexico, <=50K\n40, Private,32214, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n67, ?,212759, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K\n18, Private,309634, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,22, United-States, <=50K\n31, Local-gov,125927, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,446839, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n52, Private,276515, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Cuba, <=50K\n46, Private,51618, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n59, Private,159937, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n44, Private,343591, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,14344,0,40, United-States, >50K\n53, Private,346253, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n49, Local-gov,268234, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,202051, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,54334, 9th,5, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Federal-gov,410867, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n57, Private,249977, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,286730, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,212563, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,25, United-States, <=50K\n30, Private,117747, HS-grad,9, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,1573,35, ?, <=50K\n34, Local-gov,226296, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n29, Local-gov,115585, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n48, Self-emp-not-inc,191277, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,60, United-States, >50K\n37, Private,202683, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K\n48, Private,171095, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, England, <=50K\n32, Federal-gov,249409, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n76, Private,124191, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,198282, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n47, Self-emp-not-inc,149116, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n20, Private,188300, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,103432, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-inc,317660, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n17, ?,304873, 10th,6, Never-married, ?, Own-child, White, Female,34095,0,32, United-States, <=50K\n30, Private,194901, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Local-gov,189265, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,124692, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,432376, Bachelors,13, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n38, Private,65324, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n56, Self-emp-not-inc,335605, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1887,50, Canada, >50K\n28, Private,377869, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,4064,0,25, United-States, <=50K\n36, Private,102864, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n53, Private,95647, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n56, Self-emp-inc,303090, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n49, Local-gov,197371, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n55, Private,247552, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,56, United-States, <=50K\n22, Private,102632, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,41, United-States, <=50K\n21, Private,199915, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,118853, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n30, Private,77143, Bachelors,13, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, Germany, <=50K\n29, State-gov,267989, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n19, Private,301606, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K\n47, Private,287828, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n20, Private,111697, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1719,28, United-States, <=50K\n31, Private,114937, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n35, ?,129305, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,365739, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,69621, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n24, Private,43323, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,1762,40, United-States, <=50K\n38, Self-emp-not-inc,120985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,35, United-States, <=50K\n37, Private,254202, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,146195, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, Black, Female,0,0,36, United-States, <=50K\n38, Federal-gov,125933, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Iran, >50K\n43, Self-emp-not-inc,56920, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n27, Private,163127, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K\n20, Private,34310, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n49, Private,81973, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n61, Self-emp-inc,66614, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,232782, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,316868, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, Mexico, <=50K\n45, Private,196584, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,40, United-States, >50K\n70, Private,105376, Some-college,10, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K\n31, Private,185814, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Female,0,0,30, United-States, <=50K\n22, Private,175374, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,24, United-States, <=50K\n36, Private,108293, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K\n64, Private,181232, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2179,40, United-States, <=50K\n43, ?,174662, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Local-gov,186009, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, Mexico, <=50K\n34, Private,198183, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,163003, Bachelors,13, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n21, Private,296158, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n52, ?,252903, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,45, United-States, >50K\n48, Private,187715, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K\n23, Private,214542, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n71, Self-emp-not-inc,494223, Some-college,10, Separated, Sales, Unmarried, Black, Male,0,1816,2, United-States, <=50K\n29, Private,191535, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n42, Private,228456, Bachelors,13, Separated, Other-service, Other-relative, Black, Male,0,0,50, United-States, <=50K\n68, ?,38317, 1st-4th,2, Divorced, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n25, Private,252752, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Self-emp-inc,78374, Masters,14, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n28, Private,88419, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, England, <=50K\n45, Self-emp-not-inc,201080, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,207157, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n39, Federal-gov,235485, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K\n46, State-gov,102628, Masters,14, Widowed, Protective-serv, Unmarried, White, Male,0,0,40, United-States, <=50K\n18, Private,25828, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K\n66, Local-gov,54826, Assoc-voc,11, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n27, Private,124953, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,1980,40, United-States, <=50K\n28, State-gov,175325, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,96062, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K\n27, Private,428030, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n28, State-gov,149624, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,253814, HS-grad,9, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K\n21, Private,312956, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n34, Private,483777, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n18, Private,183930, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n33, Private,37274, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, <=50K\n44, Local-gov,181344, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,38, United-States, >50K\n43, Private,114580, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,633742, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,45, United-States, <=50K\n40, Private,286370, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, >50K\n37, Federal-gov,29054, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,42, United-States, >50K\n34, Private,304030, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,143129, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, ?,135105, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,50, United-States, <=50K\n31, Private,99928, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, <=50K\n58, State-gov,109567, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,1, United-States, >50K\n38, Private,155222, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,28, United-States, <=50K\n24, Private,159567, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,523910, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n47, Private,120939, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K\n41, Federal-gov,130760, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,24, United-States, <=50K\n23, Private,197387, 5th-6th,3, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0,0,40, Mexico, <=50K\n36, Private,99374, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Federal-gov,56795, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,14084,0,55, United-States, >50K\n35, Private,138992, Masters,14, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,7298,0,40, United-States, >50K\n24, Self-emp-not-inc,32921, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,397317, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1876,40, United-States, <=50K\n19, ?,170653, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, Italy, <=50K\n51, Private,259323, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n42, Local-gov,254817, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,1340,40, United-States, <=50K\n37, State-gov,48211, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n18, Private,140164, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,128757, Bachelors,13, Married-civ-spouse, Other-service, Husband, Black, Male,7298,0,36, United-States, >50K\n35, Private,36270, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n58, Self-emp-inc,210563, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,15024,0,35, United-States, >50K\n17, Private,65368, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K\n44, Local-gov,160943, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n37, Private,208358, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,153790, Some-college,10, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n60, Private,85815, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n54, Self-emp-inc,125417, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,635913, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,60, United-States, >50K\n50, Private,313321, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,182609, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Poland, <=50K\n45, Private,109434, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n25, Private,255004, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,197860, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n64, ?,187656, 1st-4th,2, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n90, Private,51744, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,2206,40, United-States, <=50K\n54, Private,176681, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,20, United-States, <=50K\n53, Local-gov,140359, Preschool,1, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,35, United-States, <=50K\n18, Private,243313, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n60, ?,24215, 10th,6, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,10, United-States, <=50K\n66, Self-emp-not-inc,167687, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,1409,0,50, United-States, <=50K\n75, Private,314209, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, Columbia, <=50K\n65, Private,176796, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,538583, 11th,7, Separated, Transport-moving, Not-in-family, Black, Male,3674,0,40, United-States, <=50K\n41, Private,130408, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,38, United-States, <=50K\n25, Private,159732, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,42, United-States, <=50K\n33, Private,110978, Some-college,10, Divorced, Craft-repair, Other-relative, Other, Female,0,0,40, United-States, <=50K\n28, Private,76714, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K\n59, State-gov,268700, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n40, State-gov,170525, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n41, Private,180138, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Iran, >50K\n38, Local-gov,115076, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n23, Private,115458, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,347890, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-not-inc,196001, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,20, United-States, <=50K\n24, State-gov,273905, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K\n20, ?,119156, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n38, Private,179488, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,1741,40, United-States, <=50K\n56, Private,203580, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, ?, <=50K\n58, Private,236596, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n32, Private,183916, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K\n40, Private,207578, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,60, United-States, >50K\n45, Private,153141, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, ?, <=50K\n41, Private,112763, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n42, Private,390781, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n59, Local-gov,171328, 10th,6, Widowed, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n19, Local-gov,27382, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n58, Private,259014, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,20, United-States, <=50K\n42, Self-emp-not-inc,303044, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K\n20, Private,117789, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Private,172579, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n45, Private,187666, Assoc-voc,11, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n50, Private,204518, 7th-8th,4, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,150042, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Private,98092, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n17, Private,245918, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n59, Private,146013, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K\n26, Private,378322, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-inc,257295, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,75, Thailand, >50K\n19, ?,218956, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,24, Canada, <=50K\n64, Private,21174, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,185480, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n33, Private,222205, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, >50K\n61, Private,69867, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,191260, 9th,5, Never-married, Other-service, Own-child, White, Male,1055,0,24, United-States, <=50K\n50, Self-emp-not-inc,30653, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,2407,0,98, United-States, <=50K\n27, Local-gov,209109, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K\n30, Private,70377, HS-grad,9, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Private,477983, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n44, Private,170924, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n35, Private,190174, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,193787, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Private,279472, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,7298,0,48, United-States, >50K\n22, Private,34918, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,15, Germany, <=50K\n42, Local-gov,97688, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n34, Private,175413, Assoc-acdm,12, Divorced, Sales, Unmarried, Black, Female,0,0,45, United-States, <=50K\n60, Private,173960, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,42, United-States, <=50K\n21, Private,205759, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n57, Federal-gov,425161, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n41, Private,220531, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n50, Private,176609, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K\n25, Private,371987, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,193884, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Ecuador, <=50K\n36, Private,200352, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n31, Private,127595, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Local-gov,220419, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,0,56, United-States, <=50K\n21, Private,231931, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K\n27, Private,248402, Bachelors,13, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n65, Private,111095, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, United-States, <=50K\n37, Self-emp-inc,57424, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n39, ?,157443, Masters,14, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,3464,0,40, ?, <=50K\n24, Private,278130, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,169469, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,80, United-States, <=50K\n48, Private,146268, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,40, United-States, >50K\n21, Private,153718, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,25, United-States, <=50K\n31, Private,217460, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n55, Private,238638, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4386,0,40, United-States, >50K\n24, Private,303296, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, Laos, <=50K\n43, Private,173321, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,193945, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K\n46, Private,83082, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,33, United-States, <=50K\n35, Private,193815, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-inc,34987, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,54, United-States, >50K\n26, Private,59306, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,142897, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7298,0,35, Taiwan, >50K\n19, ?,860348, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,25, United-States, <=50K\n36, Self-emp-not-inc,205607, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, >50K\n22, Private,199698, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n24, Private,191954, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n77, Self-emp-not-inc,138714, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,399087, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Female,0,0,40, Mexico, <=50K\n29, Private,423158, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n62, Private,159841, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n39, Self-emp-not-inc,174308, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,50356, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,50, United-States, <=50K\n35, Private,186110, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n29, Private,200381, 11th,7, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n76, Self-emp-not-inc,174309, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K\n63, Self-emp-not-inc,78383, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n23, ?,211601, Assoc-voc,11, Never-married, ?, Own-child, Black, Female,0,0,15, United-States, <=50K\n43, Private,187728, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,50, United-States, >50K\n58, Self-emp-not-inc,321171, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n66, Private,127921, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,2050,0,55, United-States, <=50K\n41, Private,206565, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,45, United-States, <=50K\n26, Private,224563, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,178686, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, Local-gov,98545, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,242606, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,270942, 5th-6th,3, Never-married, Other-service, Other-relative, White, Male,0,0,48, Mexico, <=50K\n30, Private,94235, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n49, Private,71195, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n19, Private,104112, HS-grad,9, Never-married, Sales, Unmarried, Black, Male,0,0,30, Haiti, <=50K\n45, Private,261192, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n26, Private,94936, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,296478, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n36, State-gov,119272, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,40, United-States, >50K\n33, Private,85043, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K\n22, State-gov,293364, Some-college,10, Never-married, Protective-serv, Own-child, Black, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,241895, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K\n67, ?,36135, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n30, ?,151989, Assoc-voc,11, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n56, Private,101128, Assoc-acdm,12, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,25, Iran, <=50K\n31, Private,156464, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,25, United-States, <=50K\n33, Private,117963, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,192262, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,111363, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n46, Local-gov,329752, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n59, ?,372020, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n38, Federal-gov,95432, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n65, Private,161400, 11th,7, Widowed, Other-service, Unmarried, Other, Male,0,0,40, United-States, <=50K\n40, Private,96129, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,111949, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K\n26, Self-emp-not-inc,117125, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K\n36, Private,348022, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,24, United-States, <=50K\n62, Private,270092, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,180609, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n43, Private,174575, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,1564,45, United-States, >50K\n22, Private,410439, HS-grad,9, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n28, Private,92262, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,183081, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n22, Private,362589, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n57, Private,212448, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n39, Private,481060, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Federal-gov,185885, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,15, United-States, <=50K\n17, Private,89821, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n40, State-gov,184018, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, >50K\n45, Private,256649, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n44, Private,160323, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n20, Local-gov,350845, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n33, Private,267404, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K\n23, Private,35633, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,80914, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K\n38, Private,172927, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n54, Private,174319, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,214955, 5th-6th,3, Divorced, Craft-repair, Not-in-family, White, Female,0,2339,45, United-States, <=50K\n25, Private,344991, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,108699, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Local-gov,117312, Some-college,10, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, <=50K\n23, Private,396099, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n29, Private,134152, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,162028, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,2415,6, United-States, >50K\n19, Private,25429, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K\n19, Private,232392, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n35, Private,220098, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K\n27, Private,301302, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n46, Self-emp-not-inc,277946, Assoc-acdm,12, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, State-gov,98101, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, ?, >50K\n34, Private,196164, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n44, Private,115562, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,96975, Some-college,10, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, ?,137300, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,35, United-States, <=50K\n25, Private,86872, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n52, Self-emp-inc,132178, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n20, Private,416103, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,108574, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, State-gov,288353, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,227689, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,64, United-States, <=50K\n28, Private,166481, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,2179,40, Puerto-Rico, <=50K\n41, Private,445382, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,65, United-States, >50K\n28, Private,110145, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,317253, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K\n28, ?,123147, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,1887,40, United-States, >50K\n32, Private,364657, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n41, Local-gov,42346, Some-college,10, Divorced, Other-service, Not-in-family, Black, Female,0,0,24, United-States, <=50K\n24, Private,241951, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,118500, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,188386, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n31, State-gov,1033222, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,92440, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n52, Private,190762, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n30, Private,426017, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,19, United-States, <=50K\n34, Local-gov,243867, 11th,7, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n34, State-gov,240283, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,61777, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n17, Private,175024, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,2176,0,18, United-States, <=50K\n32, State-gov,92003, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n29, Private,188401, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,228528, 10th,6, Never-married, Craft-repair, Unmarried, White, Female,0,0,35, United-States, <=50K\n25, Private,133373, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n36, Federal-gov,255191, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,1408,40, United-States, <=50K\n23, Private,204653, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,72, Dominican-Republic, <=50K\n63, Self-emp-inc,222289, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n47, Local-gov,287480, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n80, ?,107762, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,24, United-States, <=50K\n17, ?,202521, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,204116, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,2174,0,40, United-States, <=50K\n30, Private,29662, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, >50K\n27, Private,116358, Some-college,10, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,1980,40, Philippines, <=50K\n33, Private,208405, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n34, Local-gov,284843, HS-grad,9, Never-married, Farming-fishing, Not-in-family, Black, Male,594,0,60, United-States, <=50K\n34, Local-gov,117018, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,81281, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,340148, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n29, Private,363425, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,45857, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,28, United-States, <=50K\n24, Federal-gov,191073, HS-grad,9, Never-married, Armed-Forces, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,116632, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,405855, 9th,5, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K\n20, Private,298227, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K\n44, Private,290521, HS-grad,9, Widowed, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n51, Private,56915, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n20, Private,146538, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n17, ?,258872, 11th,7, Never-married, ?, Own-child, White, Female,0,0,5, United-States, <=50K\n19, Private,206399, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n45, Self-emp-inc,197332, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n60, Private,245062, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,197583, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, ?, >50K\n44, Self-emp-not-inc,234885, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n40, Private,72887, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n30, Private,180374, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n38, Private,351299, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, <=50K\n23, Private,54012, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n32, ?,115745, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,116632, Assoc-acdm,12, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Local-gov,288825, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n32, Private,132601, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n50, Private,193374, 1st-4th,2, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, Private,170070, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,20, United-States, <=50K\n37, Private,126708, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,60, United-States, <=50K\n52, Private,35598, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n38, Private,33983, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,192776, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K\n30, Private,118551, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,16, United-States, >50K\n60, Private,201965, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, >50K\n22, ?,139883, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,285020, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,303990, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n67, Private,49401, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n46, Private,279196, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,211870, 9th,5, Never-married, Other-service, Not-in-family, White, Male,0,0,6, United-States, <=50K\n22, Private,281432, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n27, Private,161155, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,197904, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n33, Private,111746, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Portugal, <=50K\n43, Self-emp-not-inc,170721, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n28, State-gov,70100, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n41, Private,193626, HS-grad,9, Married-spouse-absent, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, ?,271749, 12th,8, Never-married, ?, Other-relative, Black, Male,594,0,40, United-States, <=50K\n25, Private,189775, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K\n63, ?,401531, 1st-4th,2, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K\n59, Local-gov,286967, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n45, Local-gov,164427, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,91039, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K\n40, Private,347934, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n46, Federal-gov,371373, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,32220, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K\n34, Private,187251, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,25, United-States, <=50K\n33, Private,178107, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n41, Private,343121, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,36, United-States, <=50K\n20, Private,262749, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,403107, 5th-6th,3, Never-married, Other-service, Own-child, White, Male,0,0,40, El-Salvador, <=50K\n26, Private,64293, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n72, ?,303588, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n23, Local-gov,324960, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Poland, <=50K\n62, Local-gov,114060, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,48925, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,180980, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,42, France, <=50K\n25, Private,181054, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,388093, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n19, Private,249609, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,8, United-States, <=50K\n43, Private,112131, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n47, Local-gov,543162, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n39, Private,91996, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,141944, Assoc-voc,11, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,1380,42, United-States, <=50K\n53, ?,251804, 5th-6th,3, Widowed, ?, Unmarried, Black, Female,0,0,30, United-States, <=50K\n32, Private,37070, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n34, Private,337587, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,189346, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n57, ?,222216, Assoc-voc,11, Widowed, ?, Unmarried, White, Female,0,0,38, United-States, <=50K\n25, Private,267044, Some-college,10, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K\n20, ?,214635, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,24, United-States, <=50K\n21, ?,204226, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,35, United-States, <=50K\n34, Private,108116, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n38, Self-emp-inc,99146, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,80, United-States, >50K\n50, Private,196232, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n24, Local-gov,248344, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n37, Local-gov,186035, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n44, Private,177905, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,58, United-States, >50K\n28, Private,85812, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n42, Private,221172, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n74, Private,99183, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,9, United-States, <=50K\n38, Self-emp-not-inc,190387, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n44, Self-emp-not-inc,202692, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,109339, 11th,7, Divorced, Machine-op-inspct, Unmarried, Other, Female,0,0,46, Puerto-Rico, <=50K\n26, Private,108658, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,197202, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n41, Private,101739, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n67, Private,231559, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,48, United-States, >50K\n39, Local-gov,207853, 12th,8, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n57, Private,190942, 1st-4th,2, Widowed, Priv-house-serv, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n29, Private,102345, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-inc,41493, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,45, United-States, <=50K\n34, ?,190027, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n44, Private,210525, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,133937, Doctorate,16, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,237903, Some-college,10, Never-married, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,163862, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,201872, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,84179, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,45, United-States, <=50K\n58, Private,51662, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,8, United-States, <=50K\n35, Local-gov,233327, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,259510, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,36, United-States, <=50K\n28, Private,184831, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,245724, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n36, Self-emp-not-inc,27053, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n72, Private,205343, 11th,7, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,229328, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K\n33, Federal-gov,319560, Assoc-voc,11, Divorced, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, >50K\n69, Private,136218, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,54576, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,323069, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,20, ?, <=50K\n34, Private,148291, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,32, United-States, <=50K\n30, Private,152453, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n28, Private,114053, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K\n54, Private,212960, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K\n47, Private,264052, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,82804, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,334273, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n20, Private,27337, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K\n43, Self-emp-inc,188436, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,45, United-States, <=50K\n45, Private,433665, 7th-8th,4, Separated, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n29, Self-emp-not-inc,110663, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n47, Private,87490, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,0,42, United-States, <=50K\n24, Private,354351, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,95469, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,242718, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,12, United-States, <=50K\n37, Private,22463, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,40, United-States, >50K\n27, Private,158156, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K\n29, Private,350162, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Male,0,0,40, United-States, >50K\n18, ?,165532, 12th,8, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n36, Self-emp-not-inc,28738, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n58, Local-gov,283635, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Self-emp-not-inc,86646, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n65, ?,195733, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K\n57, Private,69884, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n59, Private,199713, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,181659, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,340939, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,197747, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K\n29, Private,34292, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K\n18, Private,156764, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Private,25826, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,47, United-States, >50K\n57, Self-emp-inc,103948, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,80, United-States, <=50K\n42, ?,137390, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n55, ?,105138, HS-grad,9, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n60, Private,39352, 7th-8th,4, Never-married, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, >50K\n31, Private,168387, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, Canada, >50K\n23, Private,117789, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,267147, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n23, ?,99399, Some-college,10, Never-married, ?, Unmarried, Amer-Indian-Eskimo, Female,0,0,25, United-States, <=50K\n42, Self-emp-not-inc,214242, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K\n25, Private,200408, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,2174,0,40, United-States, <=50K\n49, Private,136455, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n32, Private,239824, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,217039, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,28, United-States, <=50K\n60, Private,51290, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Local-gov,175674, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,194404, Assoc-acdm,12, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,45612, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,37, United-States, <=50K\n51, Private,410114, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,182521, HS-grad,9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n36, Local-gov,339772, HS-grad,9, Separated, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n17, Private,169658, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,21, United-States, <=50K\n52, Private,200853, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,6849,0,60, United-States, <=50K\n24, Private,247564, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,249909, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n26, Local-gov,208122, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,1055,0,40, United-States, <=50K\n27, Private,109881, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n39, Private,207824, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,60, United-States, <=50K\n30, Private,369027, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,45, United-States, <=50K\n50, Self-emp-not-inc,114117, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,32, United-States, <=50K\n52, Self-emp-inc,51048, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n46, Private,102388, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K\n23, Private,190483, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n45, Private,462440, 11th,7, Widowed, Other-service, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n65, Private,109351, 9th,5, Widowed, Priv-house-serv, Unmarried, Black, Female,0,0,24, United-States, <=50K\n29, Private,34383, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n47, Private,241832, 9th,5, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,40, El-Salvador, <=50K\n30, Private,124187, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,60, United-States, <=50K\n34, Private,153614, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n38, Self-emp-not-inc,267556, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,64, United-States, <=50K\n33, Private,205469, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,268090, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,26, United-States, >50K\n47, Self-emp-not-inc,165039, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Local-gov,120451, 10th,6, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n43, Private,154374, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,60, United-States, >50K\n30, Private,103649, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, >50K\n58, Self-emp-not-inc,35723, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n19, Private,262601, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,14, United-States, <=50K\n21, Private,226181, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,175697, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n47, Self-emp-inc,248145, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, Cuba, <=50K\n52, Self-emp-not-inc,289436, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n26, Private,75654, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n60, Private,199378, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,160968, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,188563, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,50, United-States, >50K\n31, Private,55849, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n50, Self-emp-inc,195322, Doctorate,16, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n31, Local-gov,402089, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n71, Private,78277, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, United-States, <=50K\n58, ?,158611, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n30, State-gov,169496, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,130959, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n24, Private,556660, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Male,4101,0,50, United-States, <=50K\n35, Private,292472, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K\n38, State-gov,143774, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n27, Private,288341, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,32, United-States, <=50K\n29, State-gov,71592, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n70, ?,167358, 9th,5, Widowed, ?, Unmarried, White, Female,1111,0,15, United-States, <=50K\n34, Private,106742, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n44, Private,219288, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n43, Private,174524, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n44, Self-emp-not-inc,335183, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, >50K\n35, Private,261293, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n27, Private,111900, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,194360, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K\n20, Private,81145, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n42, Private,341204, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,8614,0,40, United-States, >50K\n27, State-gov,249362, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3411,0,40, United-States, <=50K\n42, Private,247019, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n20, ?,114746, 11th,7, Married-spouse-absent, ?, Own-child, Asian-Pac-Islander, Female,0,1762,40, South, <=50K\n24, Private,172146, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,1721,40, United-States, <=50K\n48, Federal-gov,110457, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, ?,80077, 11th,7, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n17, Self-emp-not-inc,368700, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K\n33, Private,182556, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n50, Self-emp-inc,219420, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,240817, HS-grad,9, Never-married, Sales, Own-child, White, Female,2597,0,40, United-States, <=50K\n17, Private,102726, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n32, Private,226267, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K\n31, Private,125457, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n58, Self-emp-not-inc,204021, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Local-gov,92262, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,48, United-States, <=50K\n37, Private,161141, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, >50K\n34, Self-emp-not-inc,190290, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Local-gov,430828, Some-college,10, Separated, Exec-managerial, Unmarried, Black, Male,0,0,40, United-States, <=50K\n18, State-gov,59342, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,5, United-States, <=50K\n34, Private,136721, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, ?,149422, 7th-8th,4, Never-married, ?, Not-in-family, White, Male,0,0,4, United-States, <=50K\n45, Local-gov,86644, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,55, United-States, <=50K\n41, Private,195124, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, Dominican-Republic, <=50K\n26, Private,167350, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K\n54, Local-gov,113000, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,140027, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,45, United-States, <=50K\n42, Private,262425, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n20, Private,316702, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n23, State-gov,335453, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,20, United-States, <=50K\n25, ?,202480, Assoc-acdm,12, Never-married, ?, Other-relative, White, Male,0,0,45, United-States, <=50K\n35, Private,203628, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K\n31, Private,118710, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,1902,40, United-States, >50K\n30, Private,189620, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, Poland, <=50K\n19, Private,475028, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n36, Local-gov,110866, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n31, Private,243605, Bachelors,13, Widowed, Sales, Unmarried, White, Female,0,1380,40, Cuba, <=50K\n21, Private,163870, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n31, Self-emp-not-inc,80145, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,295566, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Female,25236,0,65, United-States, >50K\n44, Private,63042, Bachelors,13, Divorced, Exec-managerial, Own-child, White, Female,0,0,50, United-States, >50K\n40, Private,229148, 12th,8, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, Jamaica, <=50K\n45, Private,242552, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n60, Private,177665, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n18, Private,208103, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K\n28, Private,296450, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,70282, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Private,271767, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K\n40, Private,144995, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,4386,0,40, United-States, <=50K\n36, Local-gov,382635, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, Honduras, <=50K\n31, Private,295697, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,194141, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n19, State-gov,378418, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,214399, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n34, Private,217460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n33, Private,182556, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,125831, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,60, United-States, <=50K\n29, Private,271328, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n50, Local-gov,50459, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n42, Private,162140, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K\n43, Private,177937, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, >50K\n44, Private,111502, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n20, Private,299047, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n31, Private,223212, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n65, Self-emp-not-inc,118474, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,59, ?, >50K\n23, Private,352139, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n55, Private,173093, Some-college,10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n26, Private,181655, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,2377,45, United-States, <=50K\n25, Private,332702, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n45, ?,51164, Some-college,10, Married-civ-spouse, ?, Wife, Black, Female,0,0,40, United-States, <=50K\n35, Private,234901, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,40, United-States, <=50K\n36, Private,131414, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,36, United-States, <=50K\n43, State-gov,260960, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n56, Private,156052, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,594,0,20, United-States, <=50K\n42, Private,279914, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,192453, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,25, United-States, <=50K\n55, Self-emp-not-inc,200939, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,72, United-States, <=50K\n42, Private,151408, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,14084,0,50, United-States, >50K\n26, Private,112847, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Private,316929, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n42, Local-gov,126319, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n55, Private,197422, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,40, United-States, >50K\n32, Private,267736, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n29, Private,267034, 11th,7, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, Haiti, <=50K\n46, State-gov,193047, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, <=50K\n29, State-gov,356089, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n22, Private,223515, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,20, United-States, <=50K\n58, Self-emp-not-inc,87510, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,145111, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K\n39, Private,48093, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,31757, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,38, United-States, <=50K\n54, Private,285854, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n33, Local-gov,120064, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n46, Federal-gov,167381, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n37, Private,103408, HS-grad,9, Never-married, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n36, Private,101460, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,18, United-States, <=50K\n59, Local-gov,420537, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, >50K\n34, Local-gov,119411, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Male,0,0,40, Portugal, <=50K\n53, Self-emp-inc,128272, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n51, Private,386773, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, >50K\n32, Private,283268, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,42, United-States, <=50K\n31, State-gov,301526, Some-college,10, Married-spouse-absent, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n22, Private,151790, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, Germany, <=50K\n47, Self-emp-not-inc,106252, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n32, Private,188557, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,171114, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,38, United-States, <=50K\n37, Private,327323, 5th-6th,3, Separated, Farming-fishing, Not-in-family, White, Male,0,0,32, Guatemala, <=50K\n31, Private,244147, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,55, United-States, <=50K\n37, Private,280282, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,24, United-States, >50K\n55, Private,116442, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K\n23, Local-gov,282579, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Male,0,0,56, United-States, <=50K\n36, Private,51838, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,73585, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K\n43, Private,226902, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n54, Private,279129, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, State-gov,146908, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n28, Private,196690, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,1669,42, United-States, <=50K\n40, Private,130760, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n41, Self-emp-not-inc,49572, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n40, Private,237601, Bachelors,13, Never-married, Sales, Not-in-family, Other, Female,0,0,55, United-States, >50K\n42, Private,169628, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n61, Self-emp-not-inc,36671, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2352,50, United-States, <=50K\n18, Private,231193, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K\n59, ?,192130, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K\n21, ?,149704, HS-grad,9, Never-married, ?, Not-in-family, White, Female,1055,0,40, United-States, <=50K\n48, Private,102102, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n41, Self-emp-inc,32185, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,196061, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,33, United-States, <=50K\n23, Private,211046, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,2463,0,40, United-States, <=50K\n60, Private,31577, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n22, Private,162343, Some-college,10, Never-married, Other-service, Other-relative, Black, Male,0,0,20, United-States, <=50K\n61, Private,128831, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,316688, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n46, Private,90758, Masters,14, Never-married, Tech-support, Not-in-family, White, Male,0,0,35, United-States, >50K\n43, Private,274363, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, England, >50K\n43, Private,154538, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,106085, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,1721,30, United-States, <=50K\n68, Self-emp-not-inc,315859, 11th,7, Never-married, Farming-fishing, Unmarried, White, Male,0,0,20, United-States, <=50K\n31, Private,51471, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n17, Private,193830, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n32, Private,231043, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,48, United-States, >50K\n50, ?,23780, Masters,14, Married-spouse-absent, ?, Other-relative, White, Male,0,0,40, United-States, <=50K\n33, Private,169879, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,47, United-States, >50K\n64, Private,270333, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,138768, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K\n30, Private,191571, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,36, United-States, <=50K\n22, ?,219941, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n43, Private,94113, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n22, Private,137510, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Private,32607, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n47, Self-emp-not-inc,93208, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,75, Italy, <=50K\n41, Private,254440, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n56, Private,186556, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n64, Private,169871, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n47, Private,191277, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n48, Private,167159, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n31, Private,171871, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,46, United-States, <=50K\n29, Private,154411, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,129227, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,110331, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,60, United-States, <=50K\n57, Private,34269, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Male,0,653,42, United-States, >50K\n62, Private,174355, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,680390, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,24, United-States, <=50K\n43, Private,233130, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,25, United-States, <=50K\n24, Self-emp-inc,165474, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n42, ?,257780, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K\n53, Private,194259, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,4386,0,40, United-States, >50K\n26, Private,280093, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n73, Self-emp-not-inc,177387, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n72, ?,28929, 11th,7, Widowed, ?, Not-in-family, White, Female,0,0,24, United-States, <=50K\n55, Private,105304, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,499233, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,180572, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n24, Private,321435, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n63, Private,86108, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,6, United-States, <=50K\n17, Private,198124, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n35, Private,135162, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n51, Private,146813, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n62, Local-gov,291175, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K\n55, Private,387569, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, United-States, >50K\n43, Private,102895, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Local-gov,33274, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n37, Private,86551, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n39, Private,138192, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,118966, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,18, United-States, <=50K\n61, Private,99784, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n26, Private,90980, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K\n46, Self-emp-not-inc,177407, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,96467, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, State-gov,327886, Doctorate,16, Divorced, Prof-specialty, Own-child, White, Male,0,0,50, United-States, >50K\n34, Private,111567, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,166545, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Private,142182, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,188798, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n49, Private,38563, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,56, United-States, >50K\n18, Private,216284, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n43, Private,191547, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n48, Private,285335, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n28, Self-emp-inc,142712, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n33, Private,80945, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,309055, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n21, Private,62339, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Private,368700, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,28, United-States, <=50K\n39, Private,176186, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n29, Self-emp-not-inc,266855, Bachelors,13, Separated, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,48087, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,121313, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K\n71, Self-emp-not-inc,143437, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,10605,0,40, United-States, >50K\n51, Self-emp-not-inc,160724, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,2415,40, China, >50K\n55, Private,282753, 5th-6th,3, Divorced, Other-service, Unmarried, Black, Male,0,0,25, United-States, <=50K\n41, Private,194636, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,153044, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,7, United-States, <=50K\n38, Private,411797, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,117683, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,376540, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n49, Private,72393, 9th,5, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,270335, Bachelors,13, Married-civ-spouse, Adm-clerical, Other-relative, White, Male,0,0,40, Philippines, >50K\n27, Private,96226, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n38, Private,95336, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,258498, Some-college,10, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,60, United-States, <=50K\n63, ?,149698, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K\n23, Private,205865, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,28, United-States, <=50K\n33, Self-emp-inc,155781, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, ?, <=50K\n54, Self-emp-not-inc,406468, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Private,177119, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,2174,0,45, United-States, <=50K\n48, ?,144397, Some-college,10, Divorced, ?, Unmarried, Black, Female,0,0,30, United-States, <=50K\n35, Self-emp-not-inc,372525, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,164170, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, India, <=50K\n37, Private,183800, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n42, Self-emp-not-inc,177307, Prof-school,15, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, >50K\n40, Private,170108, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,341995, Some-college,10, Divorced, Sales, Own-child, White, Male,0,0,55, United-States, <=50K\n22, Private,226508, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,50, United-States, <=50K\n30, Private,87418, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,109165, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n63, Local-gov,28856, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, United-States, <=50K\n51, Self-emp-not-inc,175897, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n22, Private,99697, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n27, ?,90270, Assoc-acdm,12, Married-civ-spouse, ?, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n35, Private,152375, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n46, Private,171550, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,38, United-States, <=50K\n37, Private,211154, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,52, United-States, <=50K\n24, Private,202570, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Male,0,0,15, United-States, <=50K\n37, Self-emp-not-inc,168496, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K\n53, Private,68898, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,93235, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n38, Private,278924, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K\n53, Self-emp-not-inc,311020, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,175878, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,543028, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K\n39, Private,202027, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K\n43, Private,158926, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,50, South, <=50K\n67, Self-emp-inc,76860, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n81, Self-emp-not-inc,136063, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K\n21, Private,186648, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n23, Private,257509, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K\n25, Private,98155, Some-college,10, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n42, Private,274198, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,38, Mexico, <=50K\n38, Private,97083, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n64, ?,29825, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,5, United-States, <=50K\n32, Private,262153, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,214738, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,138022, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n22, Private,91842, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,42, United-States, <=50K\n33, Private,373662, 1st-4th,2, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female,0,0,40, Guatemala, <=50K\n42, Private,162003, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,55, United-States, <=50K\n19, ?,52114, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K\n51, Local-gov,241843, Preschool,1, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,375871, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Mexico, <=50K\n37, Private,186934, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,44, United-States, >50K\n37, Private,176900, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,99, United-States, >50K\n47, Private,21906, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K\n41, Private,132222, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,40, United-States, >50K\n33, Private,143653, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n31, Private,111567, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K\n31, Private,78602, Assoc-acdm,12, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n35, Private,465507, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n38, Self-emp-inc,196373, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,293227, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K\n20, Private,241752, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n54, Local-gov,166398, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,35, United-States, <=50K\n40, Private,184682, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-inc,108293, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1977,45, United-States, >50K\n43, Private,250802, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K\n44, Self-emp-not-inc,325159, Some-college,10, Divorced, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K\n44, State-gov,174675, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n43, Private,227065, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K\n51, Private,269080, 7th-8th,4, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n18, Private,177722, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n51, Private,133461, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,239683, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, ?, <=50K\n44, Self-emp-inc,398473, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n33, Local-gov,298785, 10th,6, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,123424, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,176286, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,150062, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n32, Private,169240, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,38, United-States, <=50K\n32, Private,288273, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, Mexico, <=50K\n36, Private,526968, 10th,6, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,57066, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,323573, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n35, Self-emp-inc,368825, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n55, Self-emp-not-inc,189721, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n48, Private,164966, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K\n36, ?,94954, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n34, Private,202046, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K\n28, Private,161538, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,35, United-States, <=50K\n67, Private,105252, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Male,0,2392,40, United-States, >50K\n37, Private,200153, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,32185, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,70, United-States, <=50K\n25, Private,178326, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,255957, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,4101,0,40, United-States, <=50K\n40, State-gov,188693, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n78, Private,182977, HS-grad,9, Widowed, Other-service, Not-in-family, Black, Female,2964,0,40, United-States, <=50K\n34, Private,159929, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Private,123207, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K\n22, Private,284317, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, ?,184699, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,154474, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,42, United-States, <=50K\n45, Local-gov,318280, HS-grad,9, Widowed, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K\n63, Private,254907, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n41, Private,349221, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Female,0,0,35, United-States, <=50K\n47, Private,335973, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,126701, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n51, Private,122159, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Female,3325,0,40, United-States, <=50K\n46, Private,187370, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1504,40, United-States, <=50K\n41, Private,194636, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,124793, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n47, Private,192835, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n35, Private,290226, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n56, Private,112840, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n45, Private,89325, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n48, Federal-gov,33109, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,58, United-States, >50K\n40, Private,82465, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2580,0,40, United-States, <=50K\n39, Self-emp-inc,329980, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n20, Private,148294, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,168212, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,65, United-States, >50K\n38, State-gov,343642, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n23, Local-gov,115244, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,60, United-States, <=50K\n31, Private,162572, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n58, Private,356067, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n66, Private,271567, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, Self-emp-inc,180804, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n54, Self-emp-not-inc,123011, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,52, United-States, >50K\n26, Private,109186, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Germany, <=50K\n51, Private,220537, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,124827, Assoc-voc,11, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,767403, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K\n42, Private,118494, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K\n38, Private,173208, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K\n48, Private,107373, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,26973, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n51, Private,191965, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n22, Private,122346, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, ?,117201, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n41, Private,198316, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, Japan, <=50K\n48, Local-gov,123075, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n42, Private,209370, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n34, Private,33117, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,129042, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n56, Private,169133, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, Yugoslavia, <=50K\n30, Private,201624, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,45, ?, <=50K\n45, Private,368561, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n48, Private,207848, 10th,6, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-inc,138370, Masters,14, Married-spouse-absent, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,50, India, <=50K\n31, Private,93106, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, State-gov,223515, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,1719,20, United-States, <=50K\n27, Private,389713, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,206365, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n76, ?,431192, 7th-8th,4, Widowed, ?, Not-in-family, White, Male,0,0,2, United-States, <=50K\n19, ?,241616, HS-grad,9, Never-married, ?, Unmarried, White, Male,0,2001,40, United-States, <=50K\n66, Self-emp-inc,150726, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,1409,0,1, ?, <=50K\n37, Private,123785, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,75, United-States, <=50K\n34, Private,289984, HS-grad,9, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,30, United-States, <=50K\n34, ?,164309, 11th,7, Married-civ-spouse, ?, Wife, White, Female,0,0,8, United-States, <=50K\n90, Private,137018, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,137994, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n43, Private,341204, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,167005, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K\n24, Private,34446, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,37, United-States, <=50K\n28, Private,187160, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,0,0,55, United-States, <=50K\n64, ?,196288, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n23, Private,217961, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,74631, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n36, Private,156667, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K\n61, Private,125155, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n53, Self-emp-not-inc,263925, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Canada, >50K\n30, Private,296453, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n52, Self-emp-not-inc,44728, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n38, Private,193026, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, Iran, <=50K\n32, Private,87643, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,106742, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,75, United-States, <=50K\n41, Private,302122, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Local-gov,193960, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n45, Private,185385, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, >50K\n43, Self-emp-not-inc,277647, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n61, Private,128848, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3471,0,40, United-States, <=50K\n54, Private,377701, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, Mexico, <=50K\n34, Private,157886, Assoc-acdm,12, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,175958, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, >50K\n38, Private,223004, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,199352, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,80, United-States, >50K\n36, Private,29984, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,181651, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,117312, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,60, United-States, <=50K\n22, Local-gov,34029, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n38, Private,132879, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n37, Private,215310, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n48, State-gov,55863, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,46, United-States, >50K\n17, Private,220384, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K\n19, Self-emp-not-inc,36012, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n27, Private,137645, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,0,1590,40, United-States, <=50K\n22, Private,191342, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,50, Taiwan, <=50K\n49, Private,31339, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, State-gov,227910, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n43, Private,173728, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Local-gov,167816, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n58, Self-emp-not-inc,81642, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n41, Local-gov,195258, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,232475, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,241259, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,118161, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,201954, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K\n42, Private,150533, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,52, United-States, >50K\n38, Private,412296, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,28, United-States, <=50K\n41, Federal-gov,133060, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n44, Self-emp-not-inc,120539, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n31, Private,196025, Doctorate,16, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,60, China, <=50K\n34, Private,107793, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,163870, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Self-emp-not-inc,361280, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,20, India, <=50K\n62, Private,92178, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,80710, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Self-emp-inc,260729, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,1977,25, United-States, >50K\n43, Private,182254, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n68, ?,140282, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n45, Self-emp-inc,149865, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, >50K\n39, Self-emp-inc,218184, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1651,40, Mexico, <=50K\n41, Private,118619, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, <=50K\n34, Self-emp-not-inc,196791, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,25, United-States, >50K\n34, Local-gov,167999, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,33, United-States, <=50K\n31, Private,51259, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,47, United-States, <=50K\n29, Private,131088, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n41, Private,118212, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K\n41, Private,293791, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n35, Self-emp-inc,289430, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, Mexico, >50K\n33, Private,35378, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,45, United-States, >50K\n37, State-gov,60227, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K\n69, Private,168139, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n34, Private,290763, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n60, Self-emp-inc,226355, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2415,70, ?, >50K\n36, Private,51100, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,227644, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n58, Local-gov,205267, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n53, Private,288020, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K\n29, Private,140863, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n45, Federal-gov,170915, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,4865,0,40, United-States, <=50K\n34, State-gov,50178, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K\n36, Private,112497, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,95244, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K\n20, Private,117606, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,89508, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n63, Federal-gov,124244, HS-grad,9, Widowed, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,154374, Some-college,10, Divorced, Other-service, Unmarried, White, Male,0,0,45, United-States, <=50K\n28, Private,294936, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n30, Private,347132, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n34, ?,181934, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,316672, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n37, Private,189382, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K\n42, ?,184018, Some-college,10, Divorced, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n31, Private,184307, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Jamaica, >50K\n46, Self-emp-not-inc,246212, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n35, Federal-gov,250504, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,60, United-States, >50K\n27, Private,138705, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,53, United-States, <=50K\n41, Private,328447, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Mexico, <=50K\n19, Private,194608, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n20, Private,230891, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n59, Federal-gov,212448, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, Germany, <=50K\n40, Private,214010, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K\n56, Self-emp-not-inc,200235, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n33, Private,354573, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,44, United-States, >50K\n30, Self-emp-inc,205733, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K\n46, Private,185041, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n61, Self-emp-inc,84409, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n50, Self-emp-inc,293196, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n25, Private,241626, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n40, Private,520586, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,39, United-States, <=50K\n24, ?,35633, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, ?, <=50K\n51, Private,302847, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,54, United-States, <=50K\n43, State-gov,165309, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,117529, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,54, Mexico, <=50K\n46, Private,106092, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n28, State-gov,445824, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n26, Private,227332, Bachelors,13, Never-married, Transport-moving, Unmarried, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n20, Private,275691, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,28, United-States, <=50K\n44, Private,193459, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,40, United-States, <=50K\n51, Private,284329, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n33, Private,114691, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n54, Private,96062, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,133963, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,40, United-States, >50K\n33, Private,178506, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n65, Private,350498, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,10605,0,20, United-States, >50K\n22, ?,131573, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,8, United-States, <=50K\n88, Self-emp-not-inc,206291, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,182302, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,241346, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K\n50, Private,157043, 11th,7, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n25, Private,404616, Masters,14, Married-civ-spouse, Farming-fishing, Not-in-family, White, Male,0,0,99, United-States, >50K\n20, Private,411862, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n47, Private,183013, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n58, ?,169982, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,188544, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n50, State-gov,356619, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K\n47, Private,45857, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Local-gov,289886, 11th,7, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,45, United-States, <=50K\n50, ?,146015, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,216237, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n36, Private,416745, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,202952, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,167725, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, ?,165637, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n59, Federal-gov,43280, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K\n65, Private,118779, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n24, State-gov,191269, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,65, United-States, <=50K\n27, Local-gov,247507, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K\n51, Private,239155, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,182862, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,33886, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n28, Private,444304, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,187161, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n49, Local-gov,116892, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n51, Local-gov,176813, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n59, Private,151616, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n18, Private,240747, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, Dominican-Republic, <=50K\n50, Private,75472, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, ?, <=50K\n45, Federal-gov,320818, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,80, United-States, >50K\n30, Local-gov,235271, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,166497, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n44, Private,344060, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, >50K\n33, Private,221196, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n61, Self-emp-inc,113544, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n61, Local-gov,321117, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,79619, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, >50K\n22, ?,42004, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n36, Private,135289, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n44, Self-emp-inc,320984, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,60, United-States, >50K\n37, Private,203070, Some-college,10, Separated, Adm-clerical, Own-child, White, Male,0,0,62, United-States, <=50K\n31, Private,32406, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,20, United-States, <=50K\n54, Private,99185, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K\n20, Private,205839, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n63, ?,150389, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, >50K\n48, Self-emp-not-inc,243631, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,7688,0,40, United-States, >50K\n33, ?,163003, HS-grad,9, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,41, China, <=50K\n31, Private,231263, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,4650,0,45, United-States, <=50K\n38, Private,200818, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n45, Self-emp-not-inc,247379, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,349151, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,22154, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,176317, HS-grad,9, Widowed, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,22245, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,72, ?, >50K\n29, Private,236436, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,354078, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n42, Self-emp-not-inc,166813, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n50, Private,358740, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, England, <=50K\n75, Self-emp-not-inc,208426, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n46, Private,265266, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n52, Federal-gov,31838, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,175034, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,413297, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n31, Private,106347, 11th,7, Separated, Other-service, Not-in-family, Black, Female,0,0,42, United-States, <=50K\n23, Private,174754, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n34, Private,441454, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K\n41, Self-emp-not-inc,209344, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,40, Cuba, <=50K\n31, Private,185732, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n42, Private,65372, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,33975, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n55, Private,326297, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n36, State-gov,194630, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Self-emp-not-inc,167414, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,59, United-States, >50K\n38, Local-gov,165799, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,12, United-States, <=50K\n62, Private,192866, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n54, Self-emp-inc,166459, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K\n49, Private,148995, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,190040, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n32, Private,209432, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Self-emp-inc,229465, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n48, Self-emp-not-inc,397466, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n30, Private,283767, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, ?, <=50K\n52, Federal-gov,202452, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K\n28, Self-emp-not-inc,218555, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,1762,40, United-States, <=50K\n29, Private,128604, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n38, Private,65466, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n57, Private,141326, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n43, Federal-gov,369468, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, State-gov,136137, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,236770, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,89534, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K\n69, ?,195779, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,1, United-States, <=50K\n73, Private,29778, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K\n22, Self-emp-inc,153516, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n31, Private,163594, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K\n38, Private,189623, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n50, Self-emp-not-inc,343748, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n37, Private,387430, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,37, United-States, <=50K\n44, Local-gov,409505, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,200734, Bachelors,13, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,45, United-States, <=50K\n27, Private,115831, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,150296, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,80, United-States, <=50K\n25, Private,323545, HS-grad,9, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n20, Private,232577, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Local-gov,152754, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,129007, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K\n67, Private,171584, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,6514,0,7, United-States, >50K\n47, Private,386136, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n42, Private,342865, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,186785, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,1876,50, United-States, <=50K\n42, Federal-gov,158926, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K\n65, ?,36039, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,164019, Some-college,10, Never-married, Farming-fishing, Own-child, Black, Male,0,0,10, United-States, <=50K\n50, Private,88926, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,5178,0,40, United-States, >50K\n46, Private,188861, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,370119, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n57, Private,182062, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,37238, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n50, Private,421132, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, ?,178660, 12th,8, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n63, Self-emp-not-inc,795830, 1st-4th,2, Widowed, Other-service, Unmarried, White, Female,0,0,30, El-Salvador, <=50K\n39, Private,278403, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n46, Private,279661, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,35, United-States, <=50K\n36, Private,113397, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,280093, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1628,50, United-States, <=50K\n21, Private,236696, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,57, United-States, <=50K\n41, Private,265266, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n44, Local-gov,34935, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n22, Private,58222, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Federal-gov,301010, Some-college,10, Never-married, Armed-Forces, Not-in-family, Black, Male,0,0,60, United-States, <=50K\n29, Private,419721, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, Japan, <=50K\n58, Self-emp-inc,186791, Some-college,10, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, >50K\n36, Self-emp-not-inc,180686, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,209103, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n37, Private,32668, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, >50K\n29, Private,256956, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,202203, 5th-6th,3, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K\n43, Private,85995, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n49, Private,125421, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, >50K\n45, Federal-gov,283037, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,192932, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, ?,244689, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n51, Private,179646, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,509350, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, Canada, >50K\n24, Private,96279, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,119098, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n35, ?,327120, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,0,0,55, United-States, <=50K\n41, State-gov,144928, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,55237, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n61, Local-gov,101265, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,1471,0,35, United-States, <=50K\n20, Private,114874, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n27, Private,190525, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n55, Private,121912, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,24, United-States, >50K\n39, Private,83893, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n17, ?,138507, 10th,6, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n47, Private,256522, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, ?, <=50K\n52, Private,168381, HS-grad,9, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, India, >50K\n24, Private,293579, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n29, Private,285290, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n25, Private,188488, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n20, Private,324469, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,275244, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n57, Private,265099, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n51, Private,146767, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,40681, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,3674,0,16, United-States, <=50K\n39, Private,174938, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,240124, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n71, Private,269708, Bachelors,13, Divorced, Tech-support, Own-child, White, Female,2329,0,16, United-States, <=50K\n38, State-gov,34180, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n28, State-gov,225904, Prof-school,15, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n57, Private,89392, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,46857, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, State-gov,105363, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,195105, HS-grad,9, Never-married, Sales, Not-in-family, Other, Male,0,0,40, United-States, <=50K\n35, Private,184117, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n61, Self-emp-inc,134768, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, >50K\n17, ?,145886, 11th,7, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n36, Private,153078, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, ?, >50K\n62, ?,225652, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,3411,0,50, United-States, <=50K\n34, Private,467108, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n32, Self-emp-inc,199765, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,50, United-States, >50K\n42, Private,173938, HS-grad,9, Separated, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,191161, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,132606, 5th-6th,3, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,30073, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1848,60, United-States, >50K\n40, Private,155190, 10th,6, Never-married, Craft-repair, Other-relative, Black, Male,0,0,55, United-States, <=50K\n31, Private,42900, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,37, United-States, <=50K\n36, Private,191161, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n23, Private,181820, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,105974, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,41, United-States, <=50K\n52, Private,146378, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,103440, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n51, Private,203435, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, Italy, <=50K\n31, Federal-gov,168312, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Self-emp-inc,257764, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,171301, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K\n53, Federal-gov,225339, Some-college,10, Widowed, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n52, Private,152234, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,99999,0,40, Japan, >50K\n20, Private,444554, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,403788, Assoc-acdm,12, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n61, ?,190997, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K\n43, Private,221550, Masters,14, Never-married, Other-service, Not-in-family, White, Female,0,0,30, Poland, <=50K\n46, Self-emp-inc,98929, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, <=50K\n43, Local-gov,169203, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n41, Private,102332, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,230684, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n54, Private,449257, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n65, Private,198766, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,20051,0,40, United-States, >50K\n32, Private,97429, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, Canada, <=50K\n25, Private,208999, Some-college,10, Separated, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,37072, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n25, Local-gov,163101, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n19, Private,119075, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n37, Self-emp-not-inc,137314, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n45, Private,127303, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,45, United-States, <=50K\n37, Private,349116, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,44, United-States, <=50K\n40, Self-emp-not-inc,266324, Some-college,10, Divorced, Exec-managerial, Other-relative, White, Male,0,1564,70, Iran, >50K\n19, ?,194095, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Private,46496, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,5, United-States, <=50K\n27, Private,29904, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Local-gov,289403, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1887,40, ?, >50K\n59, Private,226922, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,1762,30, United-States, <=50K\n19, Federal-gov,234151, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n43, Private,238287, 10th,6, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n42, Private,230624, 10th,6, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, >50K\n54, Private,398212, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,5013,0,40, United-States, <=50K\n54, Self-emp-not-inc,114758, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n51, Private,246519, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2105,0,45, United-States, <=50K\n50, Private,137815, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n40, Private,260696, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Private,325007, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,25, United-States, <=50K\n50, Private,113176, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,66815, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n42, ?,51795, HS-grad,9, Divorced, ?, Unmarried, Black, Female,0,0,32, United-States, <=50K\n24, Private,241523, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, >50K\n30, Private,30226, 11th,7, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,352628, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,50, United-States, >50K\n37, Private,143912, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n33, Private,130021, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,329778, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-inc,196945, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,78, Thailand, <=50K\n39, Private,24342, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,34368, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n52, Self-emp-not-inc,173839, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n28, State-gov,73211, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K\n32, Private,86723, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,52, United-States, <=50K\n31, Private,179186, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,90, United-States, >50K\n31, Private,127610, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n47, Private,115070, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, ?,172582, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K\n40, Private,256202, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Private,202872, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K\n41, Private,184102, 11th,7, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Federal-gov,130703, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n46, Private,134727, 11th,7, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male,0,0,43, Germany, <=50K\n45, Self-emp-inc,36228, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,4386,0,35, United-States, >50K\n39, Private,297847, 9th,5, Married-civ-spouse, Other-service, Wife, Black, Female,3411,0,34, United-States, <=50K\n19, Private,213644, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,173796, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,40, United-States, >50K\n49, Private,147322, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Peru, <=50K\n59, Private,296253, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,180871, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n18, ?,169882, Some-college,10, Never-married, ?, Own-child, White, Female,594,0,15, United-States, <=50K\n35, State-gov,211115, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,183870, 10th,6, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, <=50K\n28, Private,441620, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,43, Mexico, <=50K\n36, Federal-gov,218542, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n41, Self-emp-not-inc,141327, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K\n47, Private,67716, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n50, Self-emp-inc,175339, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,60, United-States, <=50K\n61, ?,347089, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K\n36, Private,336595, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n38, Private,27997, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,145574, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1902,60, United-States, >50K\n50, Private,30447, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n45, Self-emp-not-inc,256866, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5013,0,40, United-States, <=50K\n44, Self-emp-not-inc,120837, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,66, United-States, <=50K\n51, Private,185283, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n44, Self-emp-inc,229466, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,298225, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n60, Private,185749, 11th,7, Widowed, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K\n17, ?,333100, 10th,6, Never-married, ?, Own-child, White, Male,1055,0,30, United-States, <=50K\n49, Self-emp-inc,125892, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n46, Private,563883, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, United-States, >50K\n56, Private,311249, HS-grad,9, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K\n25, Private,221757, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,45, United-States, <=50K\n22, Private,310152, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n76, ?,211453, HS-grad,9, Widowed, ?, Not-in-family, Black, Female,0,0,2, United-States, <=50K\n41, Self-emp-inc,94113, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n48, Self-emp-inc,192945, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n46, Private,161508, 10th,6, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n30, Private,177675, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n39, Private,51100, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,100584, 10th,6, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n70, Federal-gov,163003, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n35, Private,67728, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,45, United-States, <=50K\n49, Private,101320, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,75, United-States, <=50K\n24, Private,42706, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, <=50K\n40, Private,228535, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,36, United-States, >50K\n61, Private,120939, Prof-school,15, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,5, United-States, >50K\n25, Private,98283, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n28, Local-gov,216481, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n69, State-gov,208869, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,11, United-States, <=50K\n22, Private,207940, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,36, United-States, <=50K\n47, Private,34248, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K\n38, Private,83727, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,48, United-States, <=50K\n26, Private,183077, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n17, Private,197850, 11th,7, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,24, United-States, <=50K\n33, Self-emp-not-inc,235271, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n43, Self-emp-not-inc,35236, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Private,255822, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n53, Self-emp-inc,263925, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,99999,0,40, United-States, >50K\n26, Private,256263, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,25, United-States, <=50K\n43, Local-gov,293535, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n31, Private,209448, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,2105,0,40, Mexico, <=50K\n30, Private,57651, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,2001,42, United-States, <=50K\n25, Private,174592, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n57, Federal-gov,278763, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,175232, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, >50K\n32, Private,402812, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n26, Private,101150, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,41, United-States, <=50K\n45, Private,103538, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n53, State-gov,156877, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,35, United-States, >50K\n27, Private,23940, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n28, Self-emp-inc,210295, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n32, Private,80058, 11th,7, Divorced, Sales, Not-in-family, White, Male,0,0,43, United-States, >50K\n35, Private,187119, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,1980,65, United-States, <=50K\n36, Self-emp-not-inc,105021, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n19, Private,225775, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-inc,395831, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K\n49, Private,50282, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,3325,0,45, United-States, <=50K\n20, Private,32732, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K\n64, Self-emp-inc,179436, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n60, ?,290593, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,123253, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K\n58, State-gov,48433, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,245317, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n20, Private,431745, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,14, United-States, <=50K\n42, State-gov,436006, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n25, Private,224943, Some-college,10, Married-spouse-absent, Prof-specialty, Unmarried, Black, Male,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,167990, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,65, United-States, >50K\n37, Self-emp-inc,217054, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n66, Self-emp-not-inc,298834, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n59, Self-emp-inc,125000, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, England, >50K\n44, Private,123983, Bachelors,13, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n46, Private,155489, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,58, United-States, >50K\n59, Private,284834, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,2885,0,30, United-States, <=50K\n25, Private,212495, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,1340,40, United-States, <=50K\n17, Local-gov,32124, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,9, United-States, <=50K\n47, Local-gov,246891, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n47, State-gov,141483, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,31985, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,170800, Some-college,10, Never-married, Farming-fishing, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Local-gov,166295, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,2339,55, United-States, <=50K\n20, Private,231286, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,15, United-States, <=50K\n33, Private,159322, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n48, Private,176026, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,118025, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n37, Private,26898, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,12, United-States, <=50K\n47, Private,232628, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Private,85995, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,125421, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K\n49, Private,245305, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,42, United-States, >50K\n50, Private,73493, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,197058, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,122116, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,75742, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,214731, 10th,6, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n35, Private,265954, HS-grad,9, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n26, State-gov,197156, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n62, Private,162245, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1628,70, United-States, <=50K\n39, Local-gov,203070, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Local-gov,165695, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n69, ?,473040, 5th-6th,3, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,168107, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,163494, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n38, Private,180342, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,122381, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,50, United-States, >50K\n27, Private,148069, 10th,6, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,200973, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n17, Private,130806, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K\n56, Private,117148, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,213977, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n62, Private,134768, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, ?, >50K\n44, Private,139338, 12th,8, Divorced, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K\n23, Private,315877, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n41, Self-emp-not-inc,195124, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, ?, <=50K\n25, Private,352057, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K\n21, Private,236684, Some-college,10, Never-married, Other-service, Other-relative, Black, Female,0,0,8, United-States, <=50K\n18, Private,208447, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,6, United-States, <=50K\n45, Private,149640, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n75, ?,111177, Bachelors,13, Widowed, ?, Not-in-family, White, Female,25124,0,16, United-States, >50K\n51, Private,154342, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n42, Federal-gov,141459, HS-grad,9, Separated, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K\n47, Private,111797, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,35, Outlying-US(Guam-USVI-etc), <=50K\n29, Private,111900, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,78707, 11th,7, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n43, Local-gov,160574, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, ?,174714, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,16, United-States, <=50K\n19, ?,62534, Bachelors,13, Never-married, ?, Own-child, Black, Female,0,0,40, Jamaica, <=50K\n44, Private,216907, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,40, United-States, >50K\n24, Private,198148, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n19, Private,124265, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n49, ?,261059, 10th,6, Separated, ?, Own-child, White, Male,2176,0,40, United-States, <=50K\n52, Private,208137, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,257250, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,52, United-States, <=50K\n24, State-gov,147253, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Local-gov,244268, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n72, ?,213255, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K\n26, Private,266912, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,169104, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n29, Private,200511, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,128715, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,10520,0,40, United-States, >50K\n48, Self-emp-not-inc,65535, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,103395, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n51, Private,71046, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, Scotland, <=50K\n28, Self-emp-not-inc,125442, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,169188, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K\n23, Private,121471, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Private,207281, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,16, United-States, <=50K\n26, Local-gov,46097, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n20, ?,206671, Some-college,10, Never-married, ?, Own-child, White, Male,1055,0,50, United-States, <=50K\n55, Private,98361, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, ?, >50K\n38, Self-emp-not-inc,322143, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,10, United-States, <=50K\n33, Private,149184, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K\n33, Local-gov,119829, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,60, United-States, <=50K\n37, Private,910398, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n19, Private,176570, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,60, United-States, <=50K\n24, Private,216129, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Private,27207, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n57, State-gov,68830, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n22, State-gov,178818, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n57, Private,236944, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K\n46, State-gov,273771, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n67, Private,318533, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K\n35, ?,451940, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n47, Private,102318, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,379350, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,21095, Some-college,10, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n58, Self-emp-not-inc,211547, 12th,8, Divorced, Sales, Not-in-family, White, Female,0,0,52, United-States, <=50K\n36, Private,85272, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K\n45, Private,46406, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, England, >50K\n54, Private,53833, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,161007, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n60, Private,53707, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,370119, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K\n26, Private,310907, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, <=50K\n32, Private,375833, 11th,7, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,107513, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,58683, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n44, Self-emp-not-inc,179557, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K\n37, Private,70240, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n44, Private,147206, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,175548, HS-grad,9, Never-married, Other-service, Not-in-family, Other, Female,0,0,35, United-States, <=50K\n61, Self-emp-not-inc,163174, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n51, Private,126010, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,147876, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,15024,0,60, United-States, >50K\n45, Private,428350, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,1740,40, United-States, <=50K\n36, ?,200904, Assoc-acdm,12, Married-civ-spouse, ?, Wife, Black, Female,0,0,21, Haiti, <=50K\n39, Private,328466, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,2407,0,70, Mexico, <=50K\n67, Local-gov,258973, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n40, State-gov,345969, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,127796, 5th-6th,3, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,35, Mexico, <=50K\n37, Private,405723, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n57, Private,175942, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,284196, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,89718, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,2202,0,48, United-States, <=50K\n34, Self-emp-inc,175761, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n54, Private,206369, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,50, United-States, >50K\n52, Private,158993, HS-grad,9, Divorced, Other-service, Other-relative, Black, Female,0,0,38, United-States, <=50K\n42, Private,285066, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n48, Private,126754, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n65, State-gov,209280, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,6514,0,35, United-States, >50K\n55, Self-emp-not-inc,52888, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,10, United-States, <=50K\n71, Self-emp-inc,133821, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n33, Private,240763, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n30, Private,39054, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,119272, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n59, Private,143372, 10th,6, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n19, Private,323421, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n36, Self-emp-not-inc,136028, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n26, Self-emp-not-inc,163189, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,202729, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,421871, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n44, Private,120277, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, Italy, >50K\n26, ?,211798, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Private,198901, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n18, Private,214617, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,16, United-States, <=50K\n55, Self-emp-not-inc,179715, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,18, United-States, <=50K\n49, Local-gov,107231, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2002,40, United-States, <=50K\n44, Private,110355, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,184378, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n62, Private,273454, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Cuba, <=50K\n44, Private,443040, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n39, ?,71701, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, Self-emp-inc,160151, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,107991, 11th,7, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n52, Private,94391, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,99835, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n44, Private,43711, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n43, Private,83756, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K\n51, Private,120914, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,2961,0,40, United-States, <=50K\n20, Private,180052, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n47, Private,170846, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Italy, >50K\n43, Private,37937, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K\n64, ?,168340, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, ?, >50K\n24, Private,38455, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Federal-gov,128059, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,420895, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,166744, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,12, United-States, <=50K\n26, Private,238768, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K\n43, Private,176270, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,60, United-States, >50K\n50, Private,140592, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n20, Self-emp-not-inc,211466, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,80, United-States, <=50K\n37, Private,188540, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,45, United-States, >50K\n43, Private,39581, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,45, United-States, <=50K\n37, Private,171150, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K\n53, Private,117496, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,36, Canada, <=50K\n44, Private,145160, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,28520, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,103851, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,1055,0,20, United-States, <=50K\n19, Private,375077, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K\n53, State-gov,281590, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,40, United-States, >50K\n44, Private,151504, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n51, Private,415287, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,1902,40, United-States, >50K\n49, Private,32212, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,43, United-States, <=50K\n35, Private,123606, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,202565, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n54, Private,177927, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n37, Private,256723, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n18, Private,46247, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n24, Private,266926, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,112031, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,50, United-States, <=50K\n22, ?,376277, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n35, Private,168817, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Private,187487, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n32, ?,158784, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,67222, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,45, China, <=50K\n43, Private,201723, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K\n73, Private,267408, HS-grad,9, Widowed, Sales, Other-relative, White, Female,0,0,15, United-States, <=50K\n47, Federal-gov,168191, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n49, Private,105444, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,39, United-States, <=50K\n38, Private,156728, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,148600, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n39, Private,19914, Some-college,10, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n42, Private,190767, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,233955, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, China, >50K\n35, Private,30381, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n38, Private,187069, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n31, Private,367314, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Local-gov,101119, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,70, United-States, <=50K\n38, Private,86551, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,48, United-States, >50K\n40, Local-gov,218995, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n21, Private,57711, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n44, Private,303521, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, Private,199067, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,247445, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n49, Private,186078, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n31, Private,77634, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,42, United-States, <=50K\n24, Private,180060, Masters,14, Never-married, Exec-managerial, Own-child, White, Male,6849,0,90, United-States, <=50K\n46, Private,56482, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n26, Private,314177, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,239755, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,38, United-States, <=50K\n27, Private,377680, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n64, Self-emp-not-inc,134960, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,35, United-States, >50K\n26, Private,294493, Bachelors,13, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n21, Private,32616, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,1719,16, United-States, <=50K\n45, Private,182655, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,45, ?, >50K\n57, Local-gov,52267, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,72, United-States, <=50K\n30, Private,117963, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,98881, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,32, United-States, <=50K\n50, Private,196963, 7th-8th,4, Divorced, Craft-repair, Not-in-family, White, Female,0,0,30, United-States, <=50K\n38, Private,166988, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,193459, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n42, Private,182342, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n32, Private,496743, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,154781, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,219371, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n45, Private,99179, 11th,7, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Private,224910, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,304651, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n37, Private,349689, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, Private,106850, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Self-emp-not-inc,196328, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, >50K\n25, Private,169323, Bachelors,13, Married-civ-spouse, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,162924, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,60, Japan, <=50K\n40, Self-emp-not-inc,34037, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,70, United-States, <=50K\n51, ?,167651, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,197384, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n42, Private,251795, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n65, ?,266081, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,165309, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,215873, 10th,6, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,45, United-States, <=50K\n46, Private,133938, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,27828,0,50, United-States, >50K\n49, Private,159816, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999,0,20, United-States, >50K\n24, Private,228424, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K\n32, Private,195576, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n71, Private,105200, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,6767,0,20, United-States, <=50K\n26, Private,167350, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,3103,0,40, United-States, >50K\n29, Private,52199, HS-grad,9, Married-spouse-absent, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,171338, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n51, Private,120173, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,50, United-States, >50K\n17, ?,158762, 10th,6, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n49, Private,169818, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, >50K\n31, Private,288419, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,207546, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n59, Local-gov,147707, HS-grad,9, Widowed, Farming-fishing, Unmarried, White, Male,0,2339,40, United-States, <=50K\n17, ?,228373, 10th,6, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n43, Private,193882, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n38, Private,31033, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K\n37, Private,272950, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,183523, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,238415, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,19302, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,2202,0,38, United-States, <=50K\n42, Local-gov,339671, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,8614,0,45, United-States, >50K\n35, Local-gov,103260, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K\n39, Private,79331, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,15024,0,40, United-States, >50K\n40, Private,135056, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n66, Private,142723, 5th-6th,3, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K\n30, Federal-gov,188569, 9th,5, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,57322, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,178309, 9th,5, Never-married, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K\n45, Private,166107, Masters,14, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n31, Private,53042, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, Trinadad&Tobago, <=50K\n33, Private,155343, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3103,0,40, United-States, >50K\n32, Private,35595, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,429507, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n50, Federal-gov,159670, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n63, Private,151210, 7th-8th,4, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,186792, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,204640, Some-college,10, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n52, Private,87205, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n38, Self-emp-inc,112847, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n41, Private,107306, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,2174,0,40, United-States, <=50K\n50, State-gov,211319, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K\n59, Private,183606, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,205390, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,49, United-States, <=50K\n73, Local-gov,232871, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,2228,0,10, United-States, <=50K\n52, Self-emp-inc,101017, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,38, United-States, <=50K\n57, Private,114495, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n35, Private,183898, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n51, Private,163921, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,56, United-States, >50K\n22, Private,311764, 11th,7, Widowed, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K\n49, Private,188330, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,267174, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n46, Local-gov,36228, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, <=50K\n48, Private,199739, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Private,185407, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n43, State-gov,206139, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,282063, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n31, Private,332379, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,418324, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,36, United-States, <=50K\n19, ?,263338, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,45, United-States, <=50K\n51, Private,158948, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,84, United-States, >50K\n51, Private,221532, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K\n22, Self-emp-not-inc,202920, HS-grad,9, Never-married, Prof-specialty, Unmarried, White, Female,99999,0,40, Dominican-Republic, >50K\n37, Local-gov,118909, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n19, Private,286469, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n45, Private,191914, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Female,0,0,55, United-States, <=50K\n21, State-gov,142766, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n52, Private,198744, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Local-gov,272780, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,24, United-States, <=50K\n42, State-gov,219553, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K\n56, Private,261232, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,64292, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Private,312131, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n70, Private,30713, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n30, Private,246439, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n45, Private,338105, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n23, Private,228243, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K\n34, Local-gov,62463, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1579,40, United-States, <=50K\n38, Private,31603, Bachelors,13, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K\n24, Private,165054, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,121618, 7th-8th,4, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n45, Federal-gov,273194, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,3325,0,40, United-States, <=50K\n21, ?,163665, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,538319, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, Puerto-Rico, <=50K\n34, Private,238246, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Self-emp-inc,244665, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,45, United-States, >50K\n21, Private,131811, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n63, ?,231777, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n23, Private,156807, 9th,5, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,36, United-States, <=50K\n28, Private,236861, Bachelors,13, Divorced, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n29, Self-emp-not-inc,229842, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Male,0,0,45, United-States, <=50K\n25, Local-gov,190057, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n44, State-gov,55076, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n18, Private,152545, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,8, United-States, <=50K\n26, Private,153434, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K\n47, Local-gov,171095, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n23, Private,239322, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,138999, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n61, Local-gov,95450, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,50, United-States, >50K\n25, Private,176520, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,72338, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,54, United-States, >50K\n60, ?,386261, Bachelors,13, Married-spouse-absent, ?, Unmarried, Black, Female,0,0,15, United-States, <=50K\n23, Private,235722, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n36, Federal-gov,128884, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,48, United-States, <=50K\n46, Private,187226, 9th,5, Divorced, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K\n32, Self-emp-not-inc,298332, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n40, Private,173607, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,226756, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n31, Private,157887, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n32, State-gov,171111, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,37, United-States, <=50K\n21, Private,126314, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n63, Private,174018, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K\n44, Private,144778, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n42, Self-emp-not-inc,201522, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n23, ?,22966, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K\n30, Private,399088, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n24, Private,282202, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, El-Salvador, <=50K\n42, Private,102606, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n44, Self-emp-not-inc,246862, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, Italy, >50K\n27, Federal-gov,508336, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,48, United-States, <=50K\n27, Local-gov,263431, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n22, Private,235733, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K\n68, Private,107910, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,184425, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, >50K\n22, Self-emp-not-inc,143062, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Greece, <=50K\n25, Private,199545, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,15, United-States, <=50K\n68, Self-emp-not-inc,197015, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n62, Private,149617, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,16, United-States, <=50K\n26, Private,33610, HS-grad,9, Divorced, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n34, Private,192002, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n68, Private,67791, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,445382, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n45, Private,112283, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n26, Private,157249, 11th,7, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,109872, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n23, Private,119838, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K\n29, Private,149943, Some-college,10, Never-married, Other-service, Not-in-family, Other, Male,0,1590,40, ?, <=50K\n65, Without-pay,27012, 7th-8th,4, Widowed, Farming-fishing, Unmarried, White, Female,0,0,50, United-States, <=50K\n31, Private,91666, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n26, Private,270276, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,179271, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n44, Private,161819, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n45, Local-gov,339681, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,1506,0,45, United-States, <=50K\n26, Self-emp-not-inc,219897, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n26, Private,91683, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n36, Private,188834, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,187046, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n39, Private,191807, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,48, United-States, <=50K\n52, Self-emp-inc,179951, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,324420, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Mexico, <=50K\n41, Self-emp-not-inc,66632, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,121718, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K\n47, Private,162034, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K\n28, Local-gov,218990, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,46, United-States, <=50K\n25, Local-gov,125863, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K\n35, Private,225330, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,120426, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,119741, Masters,14, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n44, Private,32000, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,18, United-States, >50K\n21, ?,124242, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,278581, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Private,230224, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n30, Private,204374, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1741,48, United-States, <=50K\n45, Private,188386, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1628,45, United-States, <=50K\n20, Private,164922, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n57, Private,195176, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,80, United-States, <=50K\n43, Private,166740, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K\n50, ?,156008, 11th,7, Married-civ-spouse, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n28, Private,162551, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female,0,0,48, China, <=50K\n25, Private,211231, HS-grad,9, Married-civ-spouse, Tech-support, Other-relative, White, Female,0,0,48, United-States, >50K\n25, Private,169990, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n90, Private,221832, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n38, Local-gov,255454, Bachelors,13, Separated, Prof-specialty, Unmarried, Black, Male,0,0,40, United-States, <=50K\n35, Private,28160, Bachelors,13, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, State-gov,159219, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Canada, >50K\n26, Local-gov,103148, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,165186, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n56, Private,31782, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n24, Local-gov,249101, HS-grad,9, Divorced, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,243190, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,40, United-States, >50K\n18, Local-gov,153405, 11th,7, Never-married, Adm-clerical, Other-relative, White, Female,0,0,25, United-States, <=50K\n37, Private,329980, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,60, United-States, >50K\n57, Private,176079, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, State-gov,218542, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n29, State-gov,303446, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, Nicaragua, <=50K\n40, Private,102606, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n44, Self-emp-not-inc,483201, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n77, Local-gov,144608, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,6, United-States, <=50K\n30, Private,226013, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n21, Private,165475, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n66, Private,263637, 10th,6, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,201495, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,35, United-States, <=50K\n68, Private,213720, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n64, Private,170483, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n26, Private,214303, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n32, Private,190511, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,242150, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, United-States, <=50K\n51, Local-gov,159755, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,147629, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K\n49, Private,268022, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,188711, Bachelors,13, Never-married, Transport-moving, Unmarried, White, Male,0,0,20, United-States, <=50K\n29, Private,452205, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K\n21, Private,260847, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n28, Private,291374, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n55, Private,189933, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,133969, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, South, >50K\n35, Private,330664, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, ?,672412, 11th,7, Separated, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n26, Private,122999, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,40, United-States, >50K\n30, Private,111415, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, Germany, <=50K\n33, Private,217235, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K\n40, Private,121956, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,13550,0,40, Cambodia, >50K\n23, Private,120172, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,343403, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,104790, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n39, Local-gov,473547, 10th,6, Divorced, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n53, Local-gov,260106, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n49, Federal-gov,168232, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,348491, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n36, Private,24106, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K\n60, Self-emp-inc,197553, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n29, Private,421065, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K\n54, Self-emp-inc,138852, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n28, ?,169631, Assoc-acdm,12, Married-AF-spouse, ?, Wife, White, Female,0,0,3, United-States, <=50K\n34, Private,379412, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,181992, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n19, Private,365640, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,45, ?, <=50K\n26, Private,236564, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,363418, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,70, United-States, >50K\n50, Private,112351, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,38, United-States, <=50K\n30, Private,204704, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, >50K\n44, Private,54611, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K\n49, Private,128132, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n75, Self-emp-not-inc,30599, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n37, Private,379522, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n51, State-gov,196504, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,38, United-States, <=50K\n35, Private,82552, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K\n28, Private,104024, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,293114, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,1409,0,40, United-States, <=50K\n72, Private,74141, 9th,5, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,48, United-States, >50K\n39, Private,192337, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n27, Private,262478, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,30, United-States, <=50K\n57, Private,185072, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, Jamaica, <=50K\n24, Private,296045, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,2635,0,38, United-States, <=50K\n28, Private,246595, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,70, United-States, <=50K\n23, Private,54472, Some-college,10, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n31, Private,331065, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,1408,40, United-States, <=50K\n23, Private,161708, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n31, Private,264936, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Local-gov,113545, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,212237, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1740,45, United-States, <=50K\n31, Private,170430, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,80, ?, <=50K\n34, Private,173806, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,4865,0,60, United-States, <=50K\n57, Federal-gov,370890, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,2258,40, United-States, <=50K\n39, Private,505119, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Cuba, >50K\n23, Private,193089, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Local-gov,33432, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n36, Private,103110, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, England, <=50K\n32, Private,160362, Some-college,10, Divorced, Other-service, Other-relative, White, Male,0,0,40, Nicaragua, <=50K\n35, Private,204621, Assoc-acdm,12, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,35309, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n23, ?,154373, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,50, United-States, <=50K\n47, Private,194772, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,154410, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Federal-gov,220563, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n32, State-gov,253354, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,211699, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1485,40, United-States, >50K\n63, Self-emp-not-inc,167501, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,20051,0,10, United-States, >50K\n34, Private,229732, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,185465, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,335764, 11th,7, Married-civ-spouse, Sales, Own-child, Black, Male,0,0,35, United-States, <=50K\n23, Private,460046, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,42, United-States, <=50K\n19, ?,33487, Some-college,10, Never-married, ?, Other-relative, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n50, Private,176924, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K\n49, State-gov,213307, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,83893, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,194102, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n61, Private,238611, 7th-8th,4, Widowed, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K\n41, Private,113597, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,16, United-States, <=50K\n27, Self-emp-not-inc,208406, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n53, Private,274528, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, <=50K\n17, Self-emp-not-inc,60116, 10th,6, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K\n23, ?,196816, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n53, Private,166368, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,303954, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,42, United-States, >50K\n24, Private,99386, Bachelors,13, Married-spouse-absent, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,188569, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n53, Private,302868, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n18, Private,283342, 11th,7, Never-married, Other-service, Other-relative, Black, Male,0,0,20, United-States, <=50K\n24, Private,233777, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,50, Mexico, <=50K\n20, Private,170038, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Local-gov,261319, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n37, State-gov,367237, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,40, United-States, >50K\n34, Private,126838, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,354104, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n20, Private,176321, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K\n47, Private,85129, HS-grad,9, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n20, ?,376474, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,32, United-States, <=50K\n22, Private,62507, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Local-gov,111252, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n60, Private,156889, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,549430, HS-grad,9, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,40, Mexico, <=50K\n46, Private,29696, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n66, Private,98837, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,86150, Bachelors,13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,30, United-States, >50K\n34, Private,204991, Some-college,10, Divorced, Exec-managerial, Own-child, White, Male,0,0,44, United-States, <=50K\n45, Private,371886, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,46, United-States, <=50K\n35, Private,103605, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n63, ?,54851, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,133050, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n36, Local-gov,126569, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n25, Federal-gov,144259, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n51, Private,161482, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K\n25, Self-emp-not-inc,305449, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,125010, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,45, United-States, <=50K\n47, Private,304133, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n59, Local-gov,120617, HS-grad,9, Separated, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K\n34, Private,157747, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,297396, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,60, United-States, <=50K\n42, Private,121287, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n28, ?,308493, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,17, Honduras, <=50K\n37, Private,49115, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n51, Self-emp-inc,208302, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,38, United-States, >50K\n25, Private,304032, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,36, United-States, <=50K\n31, Federal-gov,207301, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n37, Private,123211, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,44, United-States, >50K\n42, Private,33521, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n29, ?,410351, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,410034, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n51, Private,175339, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,47, United-States, >50K\n22, ?,27937, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,36, United-States, <=50K\n49, Private,168211, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, >50K\n26, Private,125680, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,16, Japan, <=50K\n56, Local-gov,160829, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,46, United-States, <=50K\n52, Private,266529, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n61, Self-emp-not-inc,115023, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,4, ?, <=50K\n47, State-gov,224149, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n52, Private,150930, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,343699, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-inc,172826, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,99999,0,55, United-States, >50K\n35, Private,163392, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n17, ?,103810, 12th,8, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,213821, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K\n26, Private,211265, Some-college,10, Married-spouse-absent, Craft-repair, Other-relative, Black, Female,0,0,35, Dominican-Republic, <=50K\n58, Local-gov,160586, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n66, Private,146454, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5556,0,40, United-States, >50K\n30, Private,203277, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K\n46, Private,309895, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,26522, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1902,35, United-States, >50K\n57, Private,103809, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,90291, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n21, State-gov,181761, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,10, United-States, <=50K\n37, Private,35330, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1669,55, United-States, <=50K\n45, Local-gov,135776, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n61, ?,188172, Doctorate,16, Widowed, ?, Not-in-family, White, Female,0,0,5, United-States, <=50K\n39, Private,179579, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,193626, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,53, United-States, <=50K\n20, Private,108887, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,199070, HS-grad,9, Never-married, Protective-serv, Own-child, Black, Male,0,0,16, United-States, <=50K\n25, Private,441591, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,185254, 5th-6th,3, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, El-Salvador, <=50K\n24, Private,109307, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K\n20, ?,81853, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K\n35, Private,23621, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,70, United-States, <=50K\n44, Local-gov,145178, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,38, Jamaica, >50K\n47, State-gov,30575, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n28, State-gov,130620, 11th,7, Separated, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, India, <=50K\n41, Local-gov,22155, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K\n31, Private,106437, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,79787, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,25, United-States, <=50K\n47, Private,326857, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n44, Private,81853, HS-grad,9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n61, Private,120933, Some-college,10, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Federal-gov,153143, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, Puerto-Rico, <=50K\n46, Private,27669, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K\n46, Private,105444, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n54, Local-gov,169785, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K\n49, Private,122493, HS-grad,9, Widowed, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K\n56, Local-gov,242670, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Private,54933, Masters,14, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,209317, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n25, Self-emp-not-inc,282631, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,98044, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n58, Private,187487, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, State-gov,60186, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,75648, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n28, Private,201175, 11th,7, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n30, Private,19302, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K\n21, ?,300812, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n44, Private,146659, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,35, United-States, >50K\n75, Private,101887, 10th,6, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,70, United-States, <=50K\n66, ?,117778, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,60726, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Self-emp-inc,201763, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n57, Self-emp-inc,119253, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,65, United-States, >50K\n47, Self-emp-not-inc,121124, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, Italy, >50K\n41, Private,220132, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n21, Private,60639, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K\n17, Private,195262, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,17, United-States, <=50K\n61, ?,113544, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,55, United-States, <=50K\n47, ?,331650, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,8, United-States, >50K\n22, Private,100587, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,15, United-States, <=50K\n47, Private,298130, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,242391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n32, Self-emp-not-inc,197867, Assoc-voc,11, Divorced, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K\n59, Private,151977, 10th,6, Separated, Priv-house-serv, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n38, Private,277347, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,125249, HS-grad,9, Separated, Protective-serv, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Private,222142, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,270194, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,169995, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n27, Private,359155, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n60, Private,123992, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n64, Local-gov,266080, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n37, Private,201531, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n54, Self-emp-not-inc,179704, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n36, Private,393673, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n34, Private,244147, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n41, Self-emp-not-inc,438696, Masters,14, Divorced, Sales, Unmarried, White, Male,0,0,5, United-States, >50K\n35, Self-emp-not-inc,207568, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, <=50K\n63, Self-emp-inc,54052, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, >50K\n46, Private,187581, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,77102, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,353010, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,65, United-States, <=50K\n29, Private,54131, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n74, Federal-gov,39890, Some-college,10, Widowed, Transport-moving, Not-in-family, White, Female,0,0,18, United-States, <=50K\n50, Private,156877, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K\n22, Private,355686, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,300168, 12th,8, Separated, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n30, Private,488720, 9th,5, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K\n32, Private,157287, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,184659, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,214169, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,192149, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,137253, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n44, Private,373050, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n65, Private,90377, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,6767,0,60, United-States, <=50K\n28, Federal-gov,183151, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, <=50K\n55, Private,227158, Bachelors,13, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Local-gov,34021, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,50, United-States, <=50K\n31, Private,165148, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,12, United-States, <=50K\n47, Private,211668, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, >50K\n45, Private,358886, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,47707, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,306982, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,60, South, <=50K\n49, Local-gov,52590, HS-grad,9, Widowed, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, ?,179352, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n27, Private,158156, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,42, United-States, <=50K\n42, Private,70055, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n60, ?,131852, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K\n64, Self-emp-not-inc,177825, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,1055,0,40, United-States, <=50K\n33, Private,127215, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K\n23, Private,175183, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,142287, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,221324, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n53, Private,227602, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,37, Mexico, <=50K\n22, Private,228452, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n57, State-gov,39380, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n20, ?,96862, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,8, United-States, <=50K\n23, Private,336360, 7th-8th,4, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n31, Private,257644, 11th,7, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n23, State-gov,235853, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,22, United-States, <=50K\n30, Private,270577, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Local-gov,222900, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n42, Private,99254, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, >50K\n51, Private,224763, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Cuba, <=50K\n59, Self-emp-not-inc,174056, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n36, Private,127306, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Private,339506, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,178322, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Germany, >50K\n33, Private,189843, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,160815, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, Private,207665, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n37, State-gov,160402, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n35, Private,170263, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,184659, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,52, United-States, <=50K\n38, Federal-gov,338320, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n54, Private,101017, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,204322, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,241350, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n63, Federal-gov,217994, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Private,128143, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n58, Self-emp-not-inc,164065, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,18, United-States, <=50K\n64, Local-gov,78866, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,236769, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Federal-gov,239539, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n39, Private,34028, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,48, United-States, <=50K\n45, State-gov,207847, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,175935, Doctorate,16, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, >50K\n22, Federal-gov,218445, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n63, Self-emp-inc,215833, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,156976, Assoc-voc,11, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,220647, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n20, Private,218343, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n29, Private,241431, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K\n38, Local-gov,123983, Bachelors,13, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0,1741,40, Vietnam, <=50K\n25, Private,73289, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,408623, Bachelors,13, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,50, United-States, <=50K\n46, Private,169180, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,54929, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n24, Private,306779, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,35, United-States, <=50K\n43, Private,159549, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,482082, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,21, Mexico, <=50K\n32, Local-gov,286101, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Female,0,0,37, United-States, <=50K\n44, Private,167955, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, <=50K\n40, Self-emp-not-inc,209040, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,105017, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n23, Private,27776, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,242941, Some-college,10, Never-married, Sales, Own-child, White, Female,0,1602,10, United-States, <=50K\n41, Private,118853, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,119565, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,196827, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1902,40, United-States, <=50K\n47, Private,275361, Assoc-acdm,12, Widowed, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n42, Private,225193, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,329783, 10th,6, Never-married, Sales, Other-relative, White, Female,0,0,10, United-States, <=50K\n29, Local-gov,107411, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K\n21, State-gov,258490, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n18, ?,120243, 11th,7, Never-married, ?, Own-child, White, Male,0,0,27, United-States, <=50K\n31, Private,219509, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, >50K\n27, Local-gov,29174, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,40083, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Canada, <=50K\n23, Private,87528, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K\n41, Private,116379, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,55, Taiwan, >50K\n46, Local-gov,216214, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n34, Private,268051, Some-college,10, Married-civ-spouse, Protective-serv, Other-relative, Black, Female,0,0,25, Haiti, <=50K\n42, Self-emp-not-inc,121718, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,24, United-States, <=50K\n18, Private,201901, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,1719,15, United-States, <=50K\n46, Private,109089, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,37, United-States, <=50K\n18, ?,346382, 11th,7, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K\n52, Private,284129, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,143030, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n21, Private,212619, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Self-emp-not-inc,199011, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,20, United-States, <=50K\n31, Private,118901, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n41, Self-emp-not-inc,129865, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,157900, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,349341, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n45, Private,158685, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,386585, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,60, United-States, <=50K\n90, Private,52386, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,35, United-States, <=50K\n45, Private,246891, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n30, Private,190385, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K\n42, Private,37869, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,217807, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n53, Private,149784, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n64, State-gov,201293, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n56, Private,128764, 7th-8th,4, Widowed, Transport-moving, Not-in-family, White, Male,0,0,20, United-States, <=50K\n42, Private,27444, Some-college,10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n26, Private,62438, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n31, Local-gov,151726, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n40, Private,29841, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n58, Private,131608, Some-college,10, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,110562, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,190541, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,47, United-States, <=50K\n62, State-gov,33142, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n65, Self-emp-inc,139272, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,60, United-States, >50K\n40, Private,234633, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Local-gov,238386, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,460835, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,55, United-States, <=50K\n23, ?,243190, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,20, China, <=50K\n63, Federal-gov,97855, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n39, Private,77146, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K\n37, Private,200863, Some-college,10, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n25, ?,41107, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,40, Canada, <=50K\n56, Private,77415, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,236770, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n53, Federal-gov,173093, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,1887,40, Philippines, >50K\n32, Private,235124, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Self-emp-not-inc,282604, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,60, United-States, >50K\n35, Private,199288, 11th,7, Separated, Transport-moving, Not-in-family, White, Male,0,0,90, United-States, <=50K\n51, Private,191659, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,65, United-States, >50K\n19, Private,43285, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Private,160837, 11th,7, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n22, Private,230574, 10th,6, Never-married, Transport-moving, Own-child, White, Male,0,0,25, United-States, <=50K\n23, Private,176178, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,116358, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K\n27, ?,253873, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n45, Private,107787, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, <=50K\n23, Self-emp-not-inc,519627, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,25, Mexico, <=50K\n21, Private,191460, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n44, Private,198282, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n29, Private,214858, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n36, Self-emp-not-inc,64875, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, <=50K\n18, Private,675421, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,594,0,40, United-States, <=50K\n62, Self-emp-not-inc,134768, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n25, Federal-gov,207342, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n34, Private,64830, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n31, Private,220066, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,14344,0,50, United-States, >50K\n37, Private,82521, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n33, Private,176711, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, England, <=50K\n22, ?,217421, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n28, Private,111900, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n22, ?,196943, Some-college,10, Separated, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n47, Private,481987, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n67, ?,184506, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,419,3, United-States, <=50K\n20, ?,121313, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,158420, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n26, Private,256000, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K\n36, Private,183892, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,44, United-States, >50K\n28, Private,42734, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,181773, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n47, Private,184945, Some-college,10, Separated, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n33, Private,107248, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n34, Self-emp-inc,215382, Masters,14, Separated, Prof-specialty, Not-in-family, White, Female,4787,0,40, United-States, >50K\n25, Private,122999, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,758700, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3781,0,50, Mexico, <=50K\n36, State-gov,166606, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n61, Local-gov,192060, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,30, ?, <=50K\n74, ?,340939, 9th,5, Married-civ-spouse, ?, Husband, White, Male,3471,0,40, United-States, <=50K\n57, Private,205708, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, <=50K\n55, Private,67450, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, England, <=50K\n20, Private,242077, HS-grad,9, Divorced, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n43, Private,129573, HS-grad,9, Never-married, Sales, Not-in-family, Black, Female,0,0,44, United-States, <=50K\n54, Private,181132, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, England, >50K\n25, Private,212302, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,83411, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,1408,40, United-States, <=50K\n23, ?,148751, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n17, Private,317681, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,10, United-States, <=50K\n39, ?,103986, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,1590,40, United-States, <=50K\n63, Private,30602, 7th-8th,4, Married-spouse-absent, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n19, Private,172893, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,30, United-States, <=50K\n56, Self-emp-inc,211804, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n33, Self-emp-not-inc,312055, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n37, Private,65390, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,200500, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n36, Local-gov,241962, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-inc,78530, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, Canada, >50K\n22, Private,189950, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K\n35, Private,111387, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1579,40, United-States, <=50K\n20, Private,241951, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K\n18, Private,343059, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,302465, 12th,8, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,1741,40, United-States, <=50K\n53, Private,156843, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,54, United-States, >50K\n21, ?,79728, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,55284, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n34, Private,509364, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K\n32, State-gov,117927, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n20, Private,137651, Some-college,10, Never-married, Machine-op-inspct, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n70, Private,131060, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K\n57, Private,346963, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,183611, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,3137,0,50, United-States, <=50K\n34, Private,134737, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,36503, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,250121, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n45, Private,330535, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n27, Private,387776, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,41474, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n36, Local-gov,318972, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,65, United-States, <=50K\n33, Private,86143, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n50, Private,181139, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,326232, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,2547,50, United-States, >50K\n39, Local-gov,153976, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-not-inc,59469, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K\n24, Private,127139, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,136343, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,350624, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n66, ?,177351, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,2174,40, United-States, >50K\n68, Private,166149, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,2206,30, United-States, <=50K\n29, Private,121523, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n24, Self-emp-not-inc,267396, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Private,83045, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,160449, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, >50K\n55, Self-emp-inc,124137, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,35, Greece, >50K\n20, ?,287681, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,36, United-States, <=50K\n41, Private,154194, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,295127, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K\n60, Private,240521, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n61, Self-emp-not-inc,244087, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K\n35, Private,356250, Prof-school,15, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,35, China, <=50K\n42, State-gov,293791, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,44308, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Local-gov,210527, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, State-gov,151763, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,25, United-States, <=50K\n39, State-gov,267581, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n20, Private,100188, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,24, United-States, <=50K\n32, Self-emp-inc,111746, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,171091, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,355645, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,20, Trinadad&Tobago, <=50K\n54, Local-gov,137678, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,70894, Assoc-acdm,12, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n19, Private,171306, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,3, United-States, <=50K\n31, Private,100997, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n35, Private,63921, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n29, Private,32897, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n29, Local-gov,251854, HS-grad,9, Never-married, Protective-serv, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n25, Private,345121, 10th,6, Separated, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n46, Private,86220, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,172845, Assoc-voc,11, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n20, Private,171398, 10th,6, Never-married, Sales, Not-in-family, Other, Male,0,0,40, United-States, <=50K\n24, Self-emp-not-inc,174391, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n48, Private,207058, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K\n37, Private,291251, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,224377, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,105813, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Local-gov,180916, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n31, Self-emp-not-inc,122749, Assoc-voc,11, Divorced, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n38, Private,31069, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, United-States, >50K\n26, Self-emp-not-inc,284343, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n64, Private,319371, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n46, Private,174224, Assoc-voc,11, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n69, ?,183958, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n39, Private,127772, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3103,0,44, United-States, >50K\n48, Private,80651, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,55, United-States, <=50K\n46, Private,62793, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n42, Private,191712, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,1590,40, United-States, <=50K\n39, Self-emp-not-inc,237532, HS-grad,9, Married-civ-spouse, Sales, Wife, Black, Female,0,0,54, Dominican-Republic, >50K\n50, Federal-gov,20179, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,311376, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,432565, Assoc-voc,11, Married-civ-spouse, Tech-support, Other-relative, White, Female,0,0,40, Canada, >50K\n39, Self-emp-inc,329980, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,60, United-States, >50K\n29, Self-emp-not-inc,125190, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,342946, 11th,7, Never-married, Transport-moving, Own-child, White, Female,0,0,38, United-States, <=50K\n21, ?,219835, Assoc-voc,11, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,123429, 10th,6, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n69, Self-emp-inc,69209, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3818,0,30, United-States, <=50K\n55, Private,66356, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n41, Private,195897, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n44, Self-emp-inc,153132, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,52, United-States, >50K\n18, Private,230875, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n74, Self-emp-not-inc,92298, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, <=50K\n40, Private,185145, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,297296, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n75, ?,164849, 9th,5, Married-civ-spouse, ?, Husband, Black, Male,1409,0,5, United-States, <=50K\n55, Private,145214, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,242341, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n54, Private,240542, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K\n36, Private,104772, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,48, United-States, <=50K\n76, ?,152802, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n26, Private,181666, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n18, Private,415520, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n38, Private,258761, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n50, Private,88842, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,40, United-States, >50K\n19, ?,356717, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n32, Private,158438, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n57, Private,206206, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,51816, HS-grad,9, Never-married, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K\n27, Private,253814, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,161745, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,1980,60, United-States, <=50K\n60, Private,162947, 5th-6th,3, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Puerto-Rico, <=50K\n52, Private,163027, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,50, United-States, <=50K\n61, Private,146788, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,73309, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, >50K\n19, ?,143867, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,104216, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K\n34, Self-emp-not-inc,345705, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, >50K\n31, Private,133770, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,50, United-States, >50K\n42, Private,209392, HS-grad,9, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n70, Private,262345, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,6, United-States, <=50K\n47, Private,277545, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K\n47, ?,174525, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,3942,0,40, ?, <=50K\n29, Private,490332, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,211570, 11th,7, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K\n25, Private,374918, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n51, Private,106728, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,60, United-States, >50K\n28, Private,173649, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, ?, <=50K\n35, Private,174597, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,233533, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n54, ?,169785, Masters,14, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,133169, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,198824, Assoc-voc,11, Separated, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n65, Private,174056, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,188696, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,90692, HS-grad,9, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n34, Private,271933, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Female,0,1741,45, United-States, <=50K\n47, Self-emp-not-inc,102359, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K\n49, Federal-gov,213668, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,56, United-States, >50K\n21, Private,294789, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n20, Private,157599, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n18, Local-gov,134935, 12th,8, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,466224, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,111985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,264627, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,213427, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,279015, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K\n47, Private,165937, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n27, Federal-gov,188343, HS-grad,9, Separated, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n63, Private,158609, Assoc-voc,11, Widowed, Adm-clerical, Unmarried, White, Female,0,0,8, United-States, <=50K\n34, Private,193036, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n25, Private,198632, Some-college,10, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n54, Private,175912, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Male,914,0,40, United-States, <=50K\n19, ?,192773, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n35, Private,101387, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n24, Private,60783, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K\n26, Private,183224, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,35, United-States, <=50K\n59, Local-gov,100776, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,57600, Doctorate,16, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, ?, <=50K\n20, Private,174063, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Private,306495, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,249741, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,93021, HS-grad,9, Never-married, Adm-clerical, Unmarried, Other, Female,0,0,40, United-States, <=50K\n36, Private,49626, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,63062, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K\n55, Private,320835, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n22, Local-gov,123727, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,21, United-States, <=50K\n58, State-gov,110517, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,4064,0,40, India, <=50K\n43, Private,149670, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,4064,0,15, United-States, <=50K\n39, Private,172425, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n40, Private,216116, 9th,5, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, Haiti, <=50K\n46, Private,174209, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n54, Federal-gov,175083, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n19, Private,129059, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,30, United-States, <=50K\n24, Private,121313, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n53, ?,181317, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n24, State-gov,166851, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,13, United-States, <=50K\n29, Self-emp-not-inc,29616, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,65, United-States, <=50K\n56, Self-emp-inc,105582, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n54, ?,124993, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n21, ?,148509, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n34, Private,230246, 9th,5, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K\n56, Private,117881, 11th,7, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,203408, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n19, Private,446219, 10th,6, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n32, Self-emp-inc,110331, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n48, Private,207946, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,52, United-States, <=50K\n67, ?,45537, Masters,14, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, >50K\n47, Private,188330, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, United-States, <=50K\n52, Private,147629, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n40, Private,153799, 1st-4th,2, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,0,0,40, Dominican-Republic, <=50K\n28, Private,203776, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,168071, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n57, Private,348430, 1st-4th,2, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, Portugal, <=50K\n51, Private,103407, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, ?,152046, 11th,7, Never-married, ?, Not-in-family, White, Female,0,0,35, Germany, <=50K\n36, Private,153205, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, ?, <=50K\n33, Private,326104, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n46, Private,238162, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n50, Private,221336, HS-grad,9, Divorced, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n33, Private,180656, Some-college,10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K\n77, Self-emp-not-inc,145329, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,401,0,20, United-States, <=50K\n39, Private,315776, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Male,8614,0,52, United-States, >50K\n67, ?,150516, HS-grad,9, Widowed, ?, Unmarried, White, Male,0,0,3, United-States, <=50K\n35, Private,325802, Assoc-acdm,12, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,24, United-States, <=50K\n23, Private,133985, 10th,6, Never-married, Craft-repair, Own-child, Black, Female,0,0,40, United-States, <=50K\n37, Private,269329, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,8614,0,45, United-States, >50K\n41, Private,183203, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n60, Private,76127, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, >50K\n32, Private,195891, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,55, United-States, <=50K\n56, Federal-gov,162137, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n45, State-gov,37672, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,161708, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n18, Private,80616, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,27, United-States, <=50K\n31, Private,209276, HS-grad,9, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, United-States, <=50K\n21, ?,34443, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K\n45, Private,192835, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,55, United-States, >50K\n23, Private,203240, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, State-gov,102308, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,40829, 11th,7, Never-married, Sales, Other-relative, Amer-Indian-Eskimo, Female,0,0,25, United-States, <=50K\n25, Private,60726, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,30, United-States, <=50K\n31, State-gov,116677, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,57067, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,45, United-States, <=50K\n41, Private,304906, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n74, Private,101590, Prof-school,15, Widowed, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n27, Private,258102, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n23, Private,241185, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,124827, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-inc,76625, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n41, Federal-gov,263339, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,135645, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K\n42, Private,245626, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n24, Private,210781, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,235786, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n45, Self-emp-not-inc,160167, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n52, Federal-gov,30731, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n34, Private,314375, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,81528, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,60, United-States, <=50K\n54, Private,182854, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n42, Federal-gov,296798, 11th,7, Never-married, Tech-support, Not-in-family, White, Male,0,1340,40, United-States, <=50K\n32, Private,194426, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,40, United-States, >50K\n40, ?,70645, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K\n55, Self-emp-inc,141807, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n66, ?,112871, 11th,7, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n52, State-gov,71344, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n21, State-gov,341410, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K\n33, Private,118941, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n52, ?,159755, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,128509, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, ?, <=50K\n27, Self-emp-not-inc,229125, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,142756, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n27, Self-emp-inc,243871, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K\n47, Private,213140, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n19, Private,196857, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,138626, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,161334, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,25, Nicaragua, <=50K\n50, Private,273536, 7th-8th,4, Married-civ-spouse, Sales, Husband, Other, Male,0,0,49, Dominican-Republic, <=50K\n32, Private,115631, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,4101,0,50, United-States, <=50K\n28, Private,185957, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n23, Private,334357, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n43, Private,96102, Masters,14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n34, Private,213226, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Iran, >50K\n19, Private,115248, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n37, Private,185061, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,55, United-States, <=50K\n27, Private,147638, Bachelors,13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, Hong, <=50K\n18, Private,280298, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K\n31, Private,163516, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,277434, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n26, Federal-gov,206983, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Columbia, <=50K\n48, Private,108993, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n39, Private,288551, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n41, Private,176069, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n48, State-gov,183486, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,56, United-States, >50K\n40, Private,163215, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,10520,0,40, United-States, >50K\n70, Private,94692, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n20, Private,118462, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,43, United-States, <=50K\n38, Private,407068, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,75, Mexico, <=50K\n37, Self-emp-not-inc,243587, Some-college,10, Separated, Other-service, Own-child, White, Female,0,0,40, Cuba, <=50K\n49, Private,23074, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n51, Private,237735, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3103,0,40, United-States, >50K\n43, Private,188291, 1st-4th,2, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,284166, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n18, ?,423460, 11th,7, Never-married, ?, Own-child, White, Male,0,0,36, United-States, <=50K\n23, Private,287681, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Male,0,0,25, Mexico, <=50K\n34, Private,509364, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, ?,139391, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K\n33, Private,91964, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n31, Private,117526, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,45, United-States, <=50K\n64, Private,91343, Some-college,10, Widowed, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Local-gov,336969, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,28, El-Salvador, <=50K\n55, Private,255364, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n61, Local-gov,167670, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,211494, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n78, Local-gov,136198, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,15, United-States, <=50K\n27, Federal-gov,409815, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Private,188823, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,42, United-States, <=50K\n55, State-gov,146326, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K\n42, Private,154374, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,58, United-States, <=50K\n22, ?,216563, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,40, United-States, <=50K\n61, Private,197286, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n64, Self-emp-not-inc,100722, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,5, United-States, <=50K\n46, Local-gov,377622, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,145964, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,358636, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,70, United-States, <=50K\n47, Private,155489, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,55, United-States, >50K\n18, Private,57413, Some-college,10, Divorced, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n48, Private,320421, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n50, Self-emp-not-inc,174752, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, State-gov,229364, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n56, Self-emp-not-inc,157486, 10th,6, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,92682, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,4865,0,40, United-States, <=50K\n56, Federal-gov,101338, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,132652, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n21, Private,34616, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n40, Private,218903, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Local-gov,204098, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,50, United-States, <=50K\n52, Self-emp-not-inc,64045, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,45, United-States, >50K\n46, Private,189763, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n23, Private,26248, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,92079, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n19, Private,280071, Some-college,10, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,50, United-States, <=50K\n20, Private,224059, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,185520, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,8614,0,40, United-States, >50K\n24, Private,265567, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n72, Private,106890, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, State-gov,39586, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K\n42, Private,153132, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,45, ?, <=50K\n51, Private,209912, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K\n39, Private,144169, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n40, Local-gov,50442, Some-college,10, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,2977,0,35, United-States, <=50K\n34, Private,89644, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n19, Private,275889, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Mexico, <=50K\n26, Private,231638, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Local-gov,224474, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,4934,0,50, United-States, >50K\n28, Private,355259, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n30, Federal-gov,68330, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n32, Private,185410, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,87653, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n21, Private,286853, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n54, Private,96710, HS-grad,9, Married-civ-spouse, Priv-house-serv, Other-relative, Black, Female,0,0,20, United-States, <=50K\n62, Private,160143, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, >50K\n25, Private,186925, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,2597,0,48, United-States, <=50K\n49, Self-emp-inc,109705, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,32, United-States, <=50K\n32, Private,94235, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,225279, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,1602,40, ?, <=50K\n37, Local-gov,297449, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n58, Private,205896, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n37, Private,93717, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298,0,45, United-States, >50K\n41, Private,194710, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,236391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n47, State-gov,189123, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,358677, HS-grad,9, Divorced, Other-service, Unmarried, Black, Male,0,0,35, United-States, <=50K\n30, State-gov,199539, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,40, United-States, <=50K\n43, Private,128170, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n34, Private,231238, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n57, Private,296152, Some-college,10, Divorced, Exec-managerial, Other-relative, White, Female,594,0,10, United-States, <=50K\n46, Private,166003, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,281437, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n20, Private,190231, 9th,5, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,11, Nicaragua, <=50K\n47, Private,122026, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n55, ?,205527, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,20, United-States, <=50K\n53, Self-emp-not-inc,174102, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,50, Greece, >50K\n43, Private,125461, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n80, Self-emp-not-inc,184335, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n24, Private,211345, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, Mexico, <=50K\n43, Local-gov,147328, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K\n22, Private,222993, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,225978, Some-college,10, Separated, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n48, Private,121124, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n56, ?,656036, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n34, ?,346762, 11th,7, Divorced, ?, Own-child, White, Male,0,0,84, United-States, <=50K\n51, Private,234057, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n24, Federal-gov,306515, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,116562, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,171159, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n24, Private,199011, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,443508, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, Canada, >50K\n24, Private,29810, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K\n22, Local-gov,238831, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Federal-gov,566117, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,255044, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n20, Private,436253, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n31, Private,300687, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n55, Private,144071, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,18, United-States, >50K\n49, State-gov,133917, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,1902,60, ?, >50K\n26, Private,188767, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,300777, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K\n35, Private,26987, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,174395, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,60, Greece, <=50K\n59, Private,90290, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,34, United-States, <=50K\n61, Private,183735, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n31, Private,123273, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n43, Federal-gov,186916, Masters,14, Divorced, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, >50K\n61, Private,43554, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,2339,40, United-States, <=50K\n54, Private,178251, Assoc-acdm,12, Widowed, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n30, Private,255885, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n20, Private,64292, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n27, State-gov,194773, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, Germany, <=50K\n44, Self-emp-inc,133060, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,60, United-States, <=50K\n64, Private,258006, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, Cuba, <=50K\n55, Private,92215, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,33945, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,6849,0,55, United-States, <=50K\n61, Private,153048, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n28, Private,192200, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K\n34, Private,355571, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n47, Self-emp-inc,139268, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K\n26, Private,34402, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n35, Private,25955, 11th,7, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n36, Private,209609, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, <=50K\n47, Private,168283, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,295488, 11th,7, Never-married, Other-service, Own-child, Black, Female,0,0,25, United-States, <=50K\n35, Private,190895, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n33, Private,164190, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n25, Private,216010, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n18, Private,387568, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,10, United-States, <=50K\n47, State-gov,188386, Masters,14, Separated, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K\n44, Private,174491, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n41, Private,31221, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n30, Private,272451, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Self-emp-not-inc,152652, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n53, Private,104413, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K\n40, Private,105936, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,5013,0,20, United-States, <=50K\n24, Private,379066, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,2205,24, United-States, <=50K\n27, Private,214858, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,237735, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,37, Mexico, <=50K\n36, Private,158592, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,237321, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, >50K\n41, Private,23646, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,169240, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Federal-gov,454508, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,130356, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K\n22, Private,427686, 10th,6, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Local-gov,36411, 12th,8, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K\n39, Private,548510, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,30, United-States, <=50K\n38, Private,187264, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, <=50K\n35, State-gov,140752, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,325596, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,175804, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,107302, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n63, Local-gov,41161, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n39, Private,401832, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n57, Self-emp-not-inc,353808, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n58, Self-emp-inc,349910, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n29, Private,161478, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Japan, <=50K\n17, Private,400225, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n40, Private,367533, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n69, Self-emp-not-inc,69306, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, <=50K\n28, Private,270366, 10th,6, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,103751, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,75227, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,14084,0,40, United-States, >50K\n45, Local-gov,132563, Prof-school,15, Divorced, Prof-specialty, Unmarried, Black, Female,0,1726,40, United-States, <=50K\n33, State-gov,79580, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n41, Local-gov,344624, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,1485,40, United-States, >50K\n37, Self-emp-inc,186359, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,60, United-States, >50K\n50, Private,121685, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n48, Private,75104, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n26, ?,188343, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Private,246449, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n21, Private,85088, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,37, United-States, <=50K\n37, Private,545483, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n20, State-gov,243986, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n54, Self-emp-not-inc,32778, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K\n28, Private,369114, HS-grad,9, Separated, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n27, Private,217200, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,149220, Assoc-voc,11, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, ?,162034, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n28, ?,157813, 11th,7, Divorced, ?, Unmarried, White, Female,0,0,58, Canada, <=50K\n17, ?,179715, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,335549, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,2444,45, United-States, >50K\n47, Private,102308, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,367749, 1st-4th,2, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, El-Salvador, <=50K\n25, Private,98281, 12th,8, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,43, United-States, <=50K\n35, Private,115792, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n29, Private,277788, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,25, United-States, <=50K\n30, Private,103435, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n30, Private,37646, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,385632, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Self-emp-not-inc,210278, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K\n28, Private,335357, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,272165, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Local-gov,148995, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K\n46, Self-emp-not-inc,113434, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, State-gov,132551, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K\n38, Federal-gov,115433, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,33, United-States, >50K\n29, Private,227890, HS-grad,9, Never-married, Protective-serv, Other-relative, Black, Male,0,0,40, United-States, <=50K\n25, Private,503012, 5th-6th,3, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n56, Private,250873, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n31, Private,407930, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,148187, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n31, Private,159322, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n28, Private,334368, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Private,196328, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K\n45, Private,270842, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n71, Private,235079, Preschool,1, Widowed, Craft-repair, Unmarried, Black, Male,0,0,10, United-States, <=50K\n65, ?,327154, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,188391, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K\n19, Federal-gov,30559, HS-grad,9, Married-AF-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n34, Local-gov,255098, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,248010, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n40, Private,174515, HS-grad,9, Married-spouse-absent, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n90, Private,171956, Some-college,10, Separated, Adm-clerical, Own-child, White, Female,0,0,40, Puerto-Rico, <=50K\n56, Private,193130, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,16, United-States, <=50K\n21, Private,108670, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,186172, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n45, Private,348854, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,27, United-States, <=50K\n46, Private,271828, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n64, Private,148606, 10th,6, Separated, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n29, Local-gov,123983, Masters,14, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K\n22, Private,24896, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,30, Germany, <=50K\n47, Private,573583, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, Italy, >50K\n67, Self-emp-inc,106175, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2392,75, United-States, >50K\n43, Private,307767, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,200574, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,59083, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,1672,50, United-States, <=50K\n53, Private,358056, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n81, Private,114670, 9th,5, Widowed, Priv-house-serv, Not-in-family, Black, Female,2062,0,5, United-States, <=50K\n33, Local-gov,262042, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,1138,40, United-States, <=50K\n17, Private,206010, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,8, United-States, <=50K\n55, Self-emp-inc,183869, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, ?, >50K\n28, Private,159001, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n24, Private,155818, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,96055, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n30, Local-gov,131776, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,228613, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,198163, Masters,14, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n38, Private,37028, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,38, United-States, <=50K\n30, Private,177304, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,144064, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,146659, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n63, Self-emp-not-inc,26904, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,98, United-States, <=50K\n23, Private,238917, 7th-8th,4, Never-married, Craft-repair, Other-relative, White, Male,0,0,36, United-States, <=50K\n56, Private,170148, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,27821, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n40, Private,220460, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Canada, <=50K\n49, Private,101320, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,0,1902,40, United-States, >50K\n35, Private,173858, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n52, Private,91048, HS-grad,9, Divorced, Machine-op-inspct, Own-child, Black, Female,0,0,35, United-States, <=50K\n28, Private,298696, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,207202, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K\n21, ?,230397, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,5, United-States, <=50K\n43, Self-emp-not-inc,180599, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n32, ?,199046, Assoc-voc,11, Never-married, ?, Unmarried, White, Female,0,0,2, United-States, <=50K\n29, Self-emp-not-inc,132686, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, Italy, >50K\n23, Private,240063, Bachelors,13, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,25, United-States, <=50K\n50, Local-gov,177705, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1740,48, United-States, <=50K\n34, Private,511361, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n19, Private,89397, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,239439, 11th,7, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,36989, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,76978, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,35, United-States, <=50K\n75, Private,200068, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n24, Private,454941, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, State-gov,107218, Bachelors,13, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K\n17, Local-gov,182070, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n31, Private,176360, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n31, Private,452405, Preschool,1, Never-married, Other-service, Other-relative, White, Female,0,0,35, Mexico, <=50K\n18, ?,297396, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,10, United-States, <=50K\n45, Private,84790, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n31, Private,186787, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,42, United-States, <=50K\n27, Private,169662, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K\n48, Private,125933, Some-college,10, Widowed, Exec-managerial, Unmarried, Black, Female,0,1669,38, United-States, <=50K\n22, ?,35448, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,22, United-States, <=50K\n34, Private,225548, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,30, United-States, <=50K\n26, Private,240842, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n53, Private,103931, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n60, Private,232618, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n49, Local-gov,288548, Masters,14, Separated, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n40, Private,220609, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-inc,26145, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K\n23, Private,268525, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n68, ?,133758, 7th-8th,4, Widowed, ?, Not-in-family, Black, Male,0,0,10, United-States, <=50K\n42, Private,121264, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, Self-emp-not-inc,29814, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,85, United-States, <=50K\n27, Private,193701, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,45, United-States, <=50K\n38, Private,183279, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K\n27, Private,163942, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, Ireland, <=50K\n75, Private,188612, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Self-emp-inc,102771, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K\n27, Private,85625, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K\n36, Self-emp-not-inc,245090, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, Mexico, <=50K\n36, Private,131239, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,45, United-States, >50K\n35, Private,182074, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n36, Private,187046, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,90624, 11th,7, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,37933, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n34, Private,182177, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,35, United-States, <=50K\n61, Private,716416, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, >50K\n29, Private,190562, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,56, United-States, <=50K\n40, State-gov,141583, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n37, Private,98941, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n22, Private,201729, 9th,5, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,30, United-States, <=50K\n43, Self-emp-inc,175485, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,149168, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n28, Private,115971, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,161708, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n64, Local-gov,244903, 11th,7, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n46, Private,155664, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,112754, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,178385, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,48, India, <=50K\n20, Private,44064, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,25, United-States, <=50K\n62, Self-emp-not-inc,120939, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,165134, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, White, Female,0,0,35, Columbia, <=50K\n29, Private,100405, 10th,6, Married-civ-spouse, Farming-fishing, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,361888, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Japan, <=50K\n39, Local-gov,167864, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n39, Private,202950, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n37, Private,218188, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Female,0,0,32, United-States, <=50K\n38, Private,234962, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2829,0,30, Mexico, <=50K\n72, ?,177226, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n31, Private,259931, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,189528, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n38, Private,34996, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,112584, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n25, Private,117589, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, ?,145234, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n37, Private,267086, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,52, United-States, <=50K\n49, Private,44434, Some-college,10, Divorced, Tech-support, Other-relative, White, Male,0,0,35, United-States, <=50K\n26, Private,96130, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n35, Private,181382, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K\n44, Self-emp-inc,168845, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,60, United-States, <=50K\n37, Private,271767, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n42, Private,194636, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n64, State-gov,194894, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,4787,0,40, United-States, >50K\n28, Private,132686, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n35, Self-emp-not-inc,185848, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,4650,0,50, United-States, <=50K\n40, State-gov,184378, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n55, Federal-gov,270859, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,231866, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,65, United-States, <=50K\n49, Private,36032, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n51, State-gov,172962, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,98350, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,1902,40, Philippines, >50K\n51, Private,24185, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,53930, 10th,6, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, ?, <=50K\n24, Private,85088, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,1762,32, United-States, <=50K\n45, Self-emp-not-inc,94962, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, England, <=50K\n28, Private,480861, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n42, Self-emp-inc,187702, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,60, United-States, >50K\n22, Private,52262, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, State-gov,52636, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n60, Private,175273, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,327825, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,2238,40, United-States, <=50K\n47, Private,125892, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,75, United-States, >50K\n40, ?,78255, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K\n30, Private,398827, HS-grad,9, Married-AF-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, <=50K\n61, Private,208919, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n71, Local-gov,365996, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,6, United-States, <=50K\n42, Private,307638, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n44, Local-gov,33068, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n46, Self-emp-not-inc,254291, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n50, Local-gov,125417, Prof-school,15, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,52, United-States, >50K\n27, State-gov,28848, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,9, United-States, <=50K\n40, ?,273425, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K\n21, Private,194723, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, Mexico, <=50K\n25, Private,195118, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,35, United-States, <=50K\n61, Private,123273, 5th-6th,3, Divorced, Transport-moving, Not-in-family, White, Male,0,1876,56, United-States, <=50K\n54, Private,220115, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n31, Private,265706, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Self-emp-not-inc,279129, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n39, Self-emp-inc,122742, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n57, Self-emp-inc,172654, Prof-school,15, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,50, United-States, >50K\n48, Private,119199, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,44, United-States, <=50K\n30, Private,107793, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,56, United-States, >50K\n35, Private,237943, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K\n42, Self-emp-not-inc,64632, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n34, Self-emp-not-inc,96245, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,361494, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n69, Local-gov,122850, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n29, Private,173652, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,164663, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,98678, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n40, Private,245529, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,55294, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,140583, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,79797, HS-grad,9, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Japan, >50K\n72, ?,113044, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n20, Private,283499, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K\n41, Local-gov,51111, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,232475, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n48, Private,176140, 11th,7, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n27, Private,301654, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,376455, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n28, ?,192569, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n27, Private,229803, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n20, Private,337639, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,130849, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n32, Private,296282, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,266645, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n23, State-gov,110128, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,90196, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n40, State-gov,40024, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n35, Private,144322, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n74, Self-emp-inc,162340, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n28, Private,169069, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,113601, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n20, Self-emp-not-inc,157145, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,2258,10, United-States, <=50K\n44, Private,111275, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,56, United-States, <=50K\n46, Local-gov,102076, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,25, United-States, <=50K\n20, ?,182117, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,145409, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n40, Private,190122, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,331482, Prof-school,15, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,40, United-States, >50K\n60, Self-emp-not-inc,170114, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1672,84, United-States, <=50K\n48, Self-emp-inc,193188, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n46, Local-gov,267588, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,70, United-States, <=50K\n48, Self-emp-inc,200471, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n22, ?,175586, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,35, United-States, <=50K\n24, Local-gov,322658, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, State-gov,263982, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, Private,266287, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n39, Private,278187, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n65, Self-emp-inc,81413, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2352,65, United-States, <=50K\n22, Private,221745, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,140764, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n28, Private,206351, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,176814, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n42, Local-gov,245307, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,48, United-States, >50K\n61, State-gov,124971, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n28, Private,119545, Some-college,10, Married-civ-spouse, Exec-managerial, Own-child, White, Male,7688,0,50, United-States, >50K\n18, Private,179203, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n24, Federal-gov,44075, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n45, Private,178319, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,56, United-States, >50K\n24, Private,219754, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,198316, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n20, Private,168165, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n35, Private,356838, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,2829,0,55, Poland, <=50K\n52, Self-emp-inc,210736, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,173212, Assoc-acdm,12, Never-married, Farming-fishing, Not-in-family, White, Male,2354,0,45, United-States, <=50K\n19, Private,130431, 5th-6th,3, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, Mexico, <=50K\n35, ?,169809, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n54, Private,197481, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n21, Private,155066, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,31290, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n42, Private,54102, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,181546, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n55, Private,153484, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n44, State-gov,351228, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,131976, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,55, United-States, <=50K\n26, Private,200639, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n64, Federal-gov,267546, Assoc-acdm,12, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n41, Private,179875, 11th,7, Divorced, Other-service, Unmarried, Other, Female,0,0,40, United-States, <=50K\n25, ?,237865, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,40, ?, <=50K\n43, Private,300528, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,67716, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,10520,0,48, United-States, >50K\n48, Federal-gov,326048, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K\n60, Private,191188, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,32172, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n51, Private,252903, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K\n37, Federal-gov,334314, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,83704, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n44, Private,160574, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, >50K\n27, Private,203776, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n47, Local-gov,328610, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,295589, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1977,40, United-States, >50K\n40, Private,174373, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n41, Private,247752, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n32, ?,199244, 10th,6, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,139992, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,95680, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n55, Self-emp-inc,189933, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n38, Private,498785, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n24, State-gov,177526, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K\n64, Self-emp-not-inc,150121, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, >50K\n56, Federal-gov,130454, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,119079, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,49, United-States, >50K\n33, Private,220939, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,45, United-States, >50K\n33, Private,94235, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,0,42, United-States, >50K\n21, Private,305874, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n59, Local-gov,62020, HS-grad,9, Widowed, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n58, Private,235624, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Germany, >50K\n43, Local-gov,247514, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n21, Private,275726, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n45, Private,72896, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Local-gov,110510, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n41, Private,173938, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, ?, >50K\n27, Private,200641, 10th,6, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, Mexico, <=50K\n53, Private,211654, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, ?, >50K\n38, Private,242720, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n31, Private,111567, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n41, Private,179533, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n22, State-gov,334693, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,198096, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n41, State-gov,355756, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,19395, Some-college,10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,35, United-States, <=50K\n41, Local-gov,242586, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,208358, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,99999,0,45, United-States, >50K\n49, Private,160647, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n20, Private,227943, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K\n58, Self-emp-not-inc,197665, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K\n35, Self-emp-not-inc,216129, 12th,8, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, Trinadad&Tobago, <=50K\n30, Local-gov,326104, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,57211, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,100219, Assoc-acdm,12, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,45, United-States, <=50K\n40, Private,291192, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, State-gov,93415, Bachelors,13, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, >50K\n35, Private,191502, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,261382, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,170230, Bachelors,13, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,40, ?, <=50K\n59, Private,374924, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n43, Self-emp-inc,320984, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,338320, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n51, Private,135190, 7th-8th,4, Separated, Machine-op-inspct, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n71, Private,157909, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,2964,0,60, United-States, <=50K\n33, Private,637222, 12th,8, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,430084, HS-grad,9, Divorced, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K\n30, Private,125279, HS-grad,9, Married-spouse-absent, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n20, Private,221955, 5th-6th,3, Married-spouse-absent, Farming-fishing, Other-relative, White, Male,0,0,40, Mexico, <=50K\n51, Self-emp-inc,180195, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,208778, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K\n62, Private,81534, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n37, Private,325538, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,60, ?, <=50K\n28, Private,142264, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, Dominican-Republic, <=50K\n23, Private,128604, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,48, South, <=50K\n39, Private,277886, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K\n50, Self-emp-inc,100029, Bachelors,13, Widowed, Sales, Unmarried, White, Male,0,0,65, United-States, >50K\n31, Private,169269, 7th-8th,4, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n45, Local-gov,160472, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n23, ?,123983, Bachelors,13, Never-married, ?, Own-child, Other, Male,0,0,40, United-States, <=50K\n47, Private,297884, 10th,6, Widowed, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Private,99131, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,18, United-States, <=50K\n32, Private,44392, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n82, ?,29441, 7th-8th,4, Widowed, ?, Not-in-family, White, Male,0,0,5, United-States, <=50K\n49, Private,199029, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,55, United-States, >50K\n74, Federal-gov,181508, HS-grad,9, Widowed, Other-service, Not-in-family, White, Male,0,0,17, United-States, <=50K\n22, Private,190625, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K\n32, Private,194740, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, Greece, <=50K\n34, Private,27380, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n59, Private,160631, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n36, Private,224531, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n59, Private,283005, 11th,7, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-inc,101926, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, >50K\n53, Local-gov,135102, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,2002,45, United-States, <=50K\n25, Self-emp-not-inc,113436, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K\n44, Private,248973, Bachelors,13, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,65, United-States, <=50K\n57, Self-emp-not-inc,225334, Prof-school,15, Married-civ-spouse, Sales, Wife, White, Female,15024,0,35, United-States, >50K\n42, Self-emp-not-inc,157562, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1902,80, United-States, >50K\n58, Local-gov,310085, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,129597, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,3464,0,40, United-States, <=50K\n32, ?,53042, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n45, Private,204205, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K\n47, Private,169324, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,35, United-States, >50K\n52, ?,134447, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n56, Self-emp-not-inc,236731, 1st-4th,2, Separated, Exec-managerial, Not-in-family, White, Male,0,0,25, ?, <=50K\n52, Private,141301, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,235124, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K\n36, Self-emp-not-inc,367020, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n41, Private,149102, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Poland, <=50K\n30, Private,423770, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, Mexico, <=50K\n44, Private,211759, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0,0,40, Puerto-Rico, <=50K\n17, ?,110998, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n34, Private,56883, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,223062, Some-college,10, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n29, Private,406662, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,206600, 9th,5, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,48, Mexico, <=50K\n42, Local-gov,147510, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n48, Private,235646, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,3103,0,40, United-States, >50K\n26, Private,187577, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n64, Self-emp-inc,132832, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,20051,0,40, ?, >50K\n46, Self-emp-inc,278322, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n38, Private,278924, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K\n49, State-gov,203039, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,145651, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n46, Local-gov,144531, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n30, Private,91145, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,55, United-States, <=50K\n49, Self-emp-not-inc,211762, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n47, ?,111563, Assoc-voc,11, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,180985, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, >50K\n31, Private,207537, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,1669,50, United-States, <=50K\n19, Private,417657, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n45, Private,189890, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,5455,0,38, United-States, <=50K\n34, Private,223212, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,40, Peru, >50K\n26, Private,108658, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,190023, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,222130, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K\n36, Self-emp-inc,164866, Assoc-acdm,12, Separated, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n31, Private,170983, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n30, Private,186269, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,286026, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,403433, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, >50K\n21, ?,224209, HS-grad,9, Married-civ-spouse, ?, Wife, Black, Female,0,0,30, United-States, <=50K\n73, Private,123160, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K\n38, Federal-gov,99527, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,123178, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n33, Private,231043, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n52, Local-gov,317733, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n58, Private,241056, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,46, United-States, <=50K\n34, Local-gov,220066, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n35, Private,180342, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Federal-gov,31840, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,183168, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,386036, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, <=50K\n31, Local-gov,446358, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, Mexico, >50K\n45, Private,28035, Some-college,10, Never-married, Farming-fishing, Other-relative, White, Male,0,0,50, United-States, <=50K\n40, Private,282155, HS-grad,9, Separated, Other-service, Other-relative, White, Female,0,0,25, United-States, <=50K\n27, Private,192384, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,383637, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n29, Private,457402, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,25, Mexico, <=50K\n34, Self-emp-inc,80249, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K\n32, State-gov,159537, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,240859, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Cuba, <=50K\n33, Private,83446, 11th,7, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K\n74, ?,29866, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K\n62, Private,185503, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n39, Self-emp-not-inc,68781, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,220589, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,51136, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,60, United-States, <=50K\n24, Private,54560, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n76, ?,28221, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Canada, >50K\n25, Private,201413, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n19, Private,40425, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,28, United-States, <=50K\n31, Private,189461, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,41, United-States, <=50K\n53, Private,200576, 11th,7, Divorced, Craft-repair, Other-relative, White, Female,0,0,40, United-States, <=50K\n61, Private,92691, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,3, United-States, <=50K\n47, Private,664821, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, El-Salvador, <=50K\n37, Private,175130, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n50, Self-emp-not-inc,391016, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K\n27, Private,249315, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,44, United-States, <=50K\n58, Private,111169, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,334946, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n39, Private,352248, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,173804, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n56, Private,155449, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,73689, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n23, Private,227594, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,38, United-States, <=50K\n47, Private,161676, 11th,7, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n68, Private,75913, 12th,8, Widowed, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n47, Local-gov,242552, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n45, Federal-gov,352094, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,7688,0,40, Guatemala, >50K\n26, Private,159732, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n20, Private,131230, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,1590,40, United-States, <=50K\n46, Private,180695, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Private,189922, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,409189, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n43, Private,111252, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,42, United-States, <=50K\n59, Private,294395, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,172718, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,43403, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Female,0,1590,54, United-States, <=50K\n63, Private,111963, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,16, United-States, <=50K\n45, Private,247869, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n59, Private,114032, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, ?,356838, 12th,8, Never-married, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K\n26, Private,179633, HS-grad,9, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K\n34, Private,19847, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,231689, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,209942, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n53, Private,197492, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,262439, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n46, Private,283037, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n79, ?,144533, HS-grad,9, Widowed, ?, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n31, Private,83446, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,215443, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Local-gov,268252, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,62, United-States, <=50K\n40, Private,181015, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,47, United-States, <=50K\n41, Self-emp-inc,139916, Assoc-voc,11, Married-civ-spouse, Sales, Husband, Other, Male,0,2179,84, Mexico, <=50K\n20, Private,195770, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,26, United-States, <=50K\n45, Private,125194, 11th,7, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n27, Private,58654, Assoc-voc,11, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,252327, 5th-6th,3, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K\n30, Private,116508, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, <=50K\n36, Private,166988, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n25, Private,374163, HS-grad,9, Married-spouse-absent, Farming-fishing, Not-in-family, Other, Male,0,0,40, Mexico, <=50K\n30, ?,96851, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,1719,25, United-States, <=50K\n31, Private,196788, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n49, Private,186172, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,45, United-States, >50K\n26, Private,245628, 11th,7, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,20, United-States, <=50K\n25, Private,159732, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,129856, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Private,182812, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,3325,0,52, Dominican-Republic, <=50K\n41, Private,314322, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,102976, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n57, Self-emp-inc,42959, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n21, Private,256356, 11th,7, Never-married, Priv-house-serv, Other-relative, White, Female,0,0,40, Mexico, <=50K\n29, Private,136277, 10th,6, Never-married, Other-service, Own-child, Black, Female,0,0,32, United-States, <=50K\n36, Private,284616, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,185554, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n51, Private,138847, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,33487, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,84306, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,50, United-States, <=50K\n40, Self-emp-not-inc,223881, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,70, United-States, >50K\n61, Private,149653, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,348739, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n20, ?,235442, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K\n21, Private,34506, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n40, Private,346964, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,192208, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n21, Private,305874, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,54, United-States, <=50K\n35, Self-emp-not-inc,462890, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, <=50K\n39, Private,89508, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,200153, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n30, Private,179446, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,208965, 9th,5, Never-married, Machine-op-inspct, Unmarried, Other, Male,0,0,40, Mexico, <=50K\n32, Private,40142, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n46, Self-emp-not-inc,57452, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,327573, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,151267, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,15024,0,40, United-States, >50K\n44, Private,265266, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,203836, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3464,0,40, Columbia, <=50K\n51, ?,163998, HS-grad,9, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,20, United-States, >50K\n46, Self-emp-not-inc,28281, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n51, Private,293196, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, Iran, >50K\n45, Private,214627, Doctorate,16, Widowed, Prof-specialty, Unmarried, White, Male,15020,0,40, Iran, >50K\n20, Private,368852, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n44, Private,353396, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n33, Private,161745, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n18, Private,97963, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n61, Self-emp-inc,156542, Prof-school,15, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n50, State-gov,198103, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Federal-gov,55377, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K\n34, Private,173730, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n53, Private,374588, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,60, United-States, <=50K\n39, Self-emp-not-inc,174330, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,78141, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n66, ?,190324, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,18, United-States, <=50K\n26, Private,31350, 11th,7, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n41, Private,243607, 5th-6th,3, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K\n47, Local-gov,134671, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,197023, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n52, Private,117674, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,169815, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n43, Private,598606, 9th,5, Separated, Handlers-cleaners, Unmarried, Black, Female,0,0,50, United-States, <=50K\n42, Federal-gov,122861, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,166235, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n41, Private,187821, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2885,0,40, United-States, <=50K\n34, Private,340940, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,60, United-States, >50K\n52, Self-emp-not-inc,194791, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,231323, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,305597, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n19, Private,25429, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n46, State-gov,192779, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n39, Private,346478, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n22, Private,341368, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, State-gov,295612, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,168936, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K\n43, Private,218558, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n37, Private,336598, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,36, Mexico, <=50K\n23, Private,308205, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n39, Local-gov,357173, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,59, United-States, <=50K\n54, Private,457237, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-inc,284799, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n20, Private,179423, Some-college,10, Never-married, Transport-moving, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,363405, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,50, United-States, >50K\n17, Private,139183, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n36, Private,203482, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,112554, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n53, Private,99476, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n50, Private,93690, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,220585, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n63, Self-emp-not-inc,194638, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K\n53, Private,154785, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n40, ?,162108, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,50, United-States, <=50K\n23, Self-emp-inc,214542, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n20, Private,161922, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,43, United-States, <=50K\n46, Private,207940, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n28, Private,259351, 10th,6, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K\n59, Private,208395, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n41, Private,116391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,239781, Preschool,1, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n56, Private,174351, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K\n50, Self-emp-not-inc,44368, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,55, El-Salvador, >50K\n31, Local-gov,188798, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n41, Private,50122, Assoc-voc,11, Divorced, Sales, Own-child, White, Male,0,0,50, United-States, <=50K\n38, Private,111398, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, United-States, >50K\n25, State-gov,152035, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n18, ?,139003, HS-grad,9, Never-married, ?, Other-relative, Other, Female,0,0,12, United-States, <=50K\n49, Local-gov,249289, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n39, Private,257726, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n22, ?,113175, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n21, Private,151158, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K\n35, Private,465326, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n21, ?,356772, HS-grad,9, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,364782, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,198385, 7th-8th,4, Widowed, Other-service, Unmarried, White, Female,0,0,20, ?, <=50K\n31, Private,329301, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K\n17, Self-emp-inc,254859, 11th,7, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n31, Private,203488, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,50, United-States, >50K\n25, Local-gov,222800, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,96452, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n50, Private,170050, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,116580, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K\n50, Private,400004, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n63, Private,183608, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,194055, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,210443, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n18, Private,43272, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n43, Local-gov,108945, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,48, United-States, <=50K\n34, Private,114691, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n18, Private,304169, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n46, Private,503923, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,4386,0,40, United-States, >50K\n35, Private,340428, Bachelors,13, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, >50K\n46, State-gov,106705, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n59, Private,146391, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, United-States, >50K\n31, Private,235389, 7th-8th,4, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,30, Portugal, <=50K\n27, Private,39665, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,37, United-States, <=50K\n41, Private,113823, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, England, <=50K\n42, Private,217826, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, ?, <=50K\n55, Private,349304, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n34, ?,197688, HS-grad,9, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n44, Private,54507, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,117833, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,1669,50, United-States, <=50K\n36, Private,163396, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n69, Private,88566, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,1424,0,35, United-States, <=50K\n33, Private,323619, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,75755, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,148903, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,16, United-States, >50K\n25, Private,40915, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n21, Private,182606, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, ?, <=50K\n18, Private,131033, 11th,7, Never-married, Other-service, Other-relative, Black, Male,0,0,15, United-States, <=50K\n35, Self-emp-not-inc,168475, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n20, Private,121568, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,139098, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,40, United-States, <=50K\n46, Private,357338, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,283268, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K\n40, Private,572751, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, Mexico, >50K\n40, Private,315321, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,625,52, United-States, <=50K\n31, Private,120461, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,65278, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n23, Self-emp-not-inc,208503, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Local-gov,112835, Masters,14, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,265038, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n18, Private,89478, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n55, Private,276229, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K\n52, Private,366232, 9th,5, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, Cuba, <=50K\n26, Private,152035, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Private,205339, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, >50K\n39, Private,75995, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n62, Self-emp-not-inc,192236, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n19, ?,188618, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n47, Private,229737, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n51, Local-gov,199688, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,52953, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,221043, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n59, Federal-gov,115389, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K\n45, Self-emp-not-inc,204205, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K\n52, Private,338816, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K\n21, Private,197387, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n31, Private,42485, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K\n29, Private,367706, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n24, Private,102493, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,263746, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K\n47, Private,115358, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n46, Private,189680, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n32, ?,282622, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,28, United-States, <=50K\n34, Private,127651, 10th,6, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,44, ?, <=50K\n63, Private,230823, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Cuba, <=50K\n21, Private,300812, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n18, Private,174732, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,36, United-States, <=50K\n49, State-gov,183710, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n81, Self-emp-not-inc,137018, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n36, Self-emp-inc,213008, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,357848, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,165799, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n39, Self-emp-not-inc,188571, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n46, Private,97883, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n43, Local-gov,105862, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1902,40, United-States, >50K\n39, Local-gov,57424, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n29, Private,151476, Some-college,10, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,129583, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,16, United-States, <=50K\n57, Private,180920, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K\n38, Self-emp-not-inc,182416, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,42, United-States, <=50K\n25, Private,251915, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Local-gov,187127, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,69045, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K\n56, Private,192869, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,44, United-States, >50K\n39, Private,74163, 12th,8, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,60847, Assoc-voc,11, Never-married, Sales, Unmarried, White, Female,0,0,60, United-States, <=50K\n17, ?,213055, 11th,7, Never-married, ?, Not-in-family, Other, Female,0,0,20, United-States, <=50K\n67, Self-emp-not-inc,116057, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,3273,0,16, United-States, <=50K\n41, Private,82393, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,50, United-States, <=50K\n24, Local-gov,134181, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,50, United-States, <=50K\n51, Private,159910, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Male,10520,0,40, United-States, >50K\n30, Self-emp-inc,117570, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K\n47, Self-emp-inc,214169, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024,0,40, United-States, >50K\n56, Private,56331, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,32, United-States, <=50K\n51, Private,35576, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K\n57, Self-emp-not-inc,149168, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n34, Private,157165, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,278130, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,257200, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,283122, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,580248, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,230054, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n58, Private,519006, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K\n19, ?,37332, HS-grad,9, Never-married, ?, Own-child, White, Female,1055,0,12, United-States, <=50K\n19, ?,365871, 7th-8th,4, Never-married, ?, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n68, State-gov,235882, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2377,60, United-States, >50K\n43, Private,336513, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K\n17, Private,115551, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n53, State-gov,50048, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n37, Self-emp-inc,382802, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,99, United-States, >50K\n21, ?,180303, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,25, ?, <=50K\n63, Private,106023, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,332379, Some-college,10, Married-spouse-absent, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K\n29, Private,95465, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,96102, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,40, United-States, >50K\n27, Private,36440, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,65, United-States, >50K\n25, Self-emp-not-inc,209384, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,32, United-States, <=50K\n28, Private,50814, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,143865, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n74, ?,104661, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K\n31, Local-gov,50442, Some-college,10, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female,0,0,32, United-States, <=50K\n23, Private,236601, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,48, United-States, <=50K\n19, Private,100999, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K\n39, ?,362685, Preschool,1, Widowed, ?, Not-in-family, White, Female,0,0,20, El-Salvador, <=50K\n61, Self-emp-not-inc,32423, HS-grad,9, Married-civ-spouse, Farming-fishing, Wife, White, Female,22040,0,40, United-States, <=50K\n59, ?,154236, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,7688,0,40, United-States, >50K\n27, Self-emp-inc,153546, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,0,0,36, United-States, >50K\n19, Private,182355, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K\n23, ?,191444, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Local-gov,44216, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K\n40, Private,97688, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, >50K\n53, Private,209022, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K\n32, Private,96016, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n72, Self-emp-not-inc,52138, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2392,25, United-States, >50K\n61, Private,159046, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,138634, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,130125, 10th,6, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female,1055,0,20, United-States, <=50K\n73, Private,247355, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, Canada, <=50K\n41, Self-emp-not-inc,227065, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,244771, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,20, Jamaica, <=50K\n23, Private,215616, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Canada, <=50K\n65, Private,386672, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,15, United-States, <=50K\n45, Self-emp-inc,177543, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K\n52, Federal-gov,617021, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Black, Male,7688,0,40, United-States, >50K\n24, Local-gov,117109, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,27, United-States, <=50K\n23, Private,373550, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,19847, Some-college,10, Divorced, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,189590, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,58343, HS-grad,9, Divorced, Farming-fishing, Unmarried, White, Male,0,0,56, United-States, <=50K\n17, Private,354201, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,119422, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,363405, HS-grad,9, Separated, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n63, Private,181863, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,27, United-States, <=50K\n27, Private,194472, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,60, United-States, <=50K\n31, Private,247328, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,40, Mexico, <=50K\n71, Self-emp-not-inc,130731, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n35, Private,236910, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n44, Private,378251, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, <=50K\n36, Private,120760, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n22, Private,203182, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Female,0,0,20, United-States, <=50K\n32, Private,130304, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1485,48, United-States, <=50K\n30, Local-gov,352542, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, ?,191024, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,197728, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n76, Private,316185, 7th-8th,4, Widowed, Protective-serv, Not-in-family, White, Female,0,0,12, United-States, <=50K\n41, Private,89226, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,292353, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, United-States, <=50K\n45, Private,304570, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n32, Private,180296, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,361487, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,218490, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1848,40, United-States, >50K\n63, Self-emp-not-inc,231777, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,189832, Assoc-acdm,12, Never-married, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K\n61, Private,232308, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, State-gov,33308, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,333677, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n33, Private,170651, HS-grad,9, Never-married, Other-service, Own-child, White, Female,1055,0,40, United-States, <=50K\n39, Private,343403, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,36, United-States, <=50K\n53, Private,166386, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,40, China, <=50K\n26, Federal-gov,48099, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,143062, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,32, United-States, <=50K\n18, Private,104704, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n34, Private,30497, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n44, State-gov,174325, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7688,0,40, United-States, >50K\n31, Private,286675, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n44, Private,59474, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,378384, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,60, United-States, >50K\n43, Private,245842, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, Mexico, <=50K\n33, Private,274222, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,7688,0,38, United-States, >50K\n21, Private,342575, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,30, United-States, <=50K\n30, Private,206051, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,234213, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n57, Private,145189, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,233490, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Private,344129, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n62, Self-emp-not-inc,171315, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n31, Self-emp-not-inc,181485, Bachelors,13, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, >50K\n51, Private,255412, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, France, >50K\n37, Private,262409, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,213,45, United-States, <=50K\n45, Private,199590, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, Mexico, <=50K\n47, Private,84726, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, ?,226883, HS-grad,9, Divorced, ?, Own-child, White, Male,0,0,75, United-States, <=50K\n75, Self-emp-not-inc,184335, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K\n43, Private,102025, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,50, United-States, <=50K\n39, Private,183898, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,60, Germany, >50K\n30, Private,55291, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,150025, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Guatemala, <=50K\n44, Private,100584, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n53, Local-gov,181755, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, >50K\n40, Private,150528, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,107277, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n33, Private,247205, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, England, <=50K\n20, Private,291979, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,270985, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, <=50K\n48, Private,62605, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n46, Self-emp-not-inc,176863, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,53197, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,267776, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K\n24, Private,308205, 7th-8th,4, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K\n30, Private,306383, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n70, Private,35494, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K\n26, Private,291968, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K\n34, Private,80933, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,40, United-States, <=50K\n46, Private,271828, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n70, Private,121993, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,5, United-States, <=50K\n37, Local-gov,31023, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,36425, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n23, Private,407684, 9th,5, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, Mexico, <=50K\n28, Private,241895, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1628,40, United-States, <=50K\n44, Self-emp-not-inc,158555, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n58, Private,140363, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,3325,0,30, United-States, <=50K\n53, Private,123429, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,40060, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,290286, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n21, ?,249271, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,106169, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n43, Private,76487, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,437994, Some-college,10, Never-married, Other-service, Other-relative, Black, Male,0,0,20, United-States, <=50K\n41, Private,113555, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,7298,0,50, United-States, >50K\n36, Private,160120, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n41, Local-gov,343079, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1740,20, United-States, <=50K\n27, Private,406662, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,4416,0,40, United-States, <=50K\n42, Self-emp-not-inc,37618, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n27, Private,114158, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n41, Private,115562, HS-grad,9, Divorced, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,353994, Bachelors,13, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,40, China, >50K\n21, Private,344891, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K\n44, Private,286750, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, >50K\n29, Private,194197, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Self-emp-not-inc,206599, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,22, United-States, <=50K\n21, Local-gov,596776, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, Guatemala, <=50K\n46, Private,56841, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,112561, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n43, Private,147110, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,48, United-States, >50K\n54, Self-emp-inc,175339, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n38, Private,234901, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K\n18, ?,298133, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,217083, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n30, Private,97757, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, >50K\n30, Private,151868, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Local-gov,25864, HS-grad,9, Never-married, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K\n26, Private,109419, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n37, Federal-gov,203070, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K\n32, Private,107843, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,50, United-States, >50K\n64, State-gov,264544, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,5, United-States, >50K\n18, Private,148644, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,28, United-States, <=50K\n30, Private,125762, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, United-States, <=50K\n36, ?,53606, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,3908,0,8, United-States, <=50K\n18, Private,193741, 11th,7, Never-married, Other-service, Other-relative, Black, Male,0,0,30, United-States, <=50K\n27, Private,588905, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,115613, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n46, State-gov,222374, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,43, United-States, >50K\n37, Private,185359, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,173647, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,31166, HS-grad,9, Divorced, Prof-specialty, Not-in-family, Other, Female,0,0,30, Germany, <=50K\n22, ?,517995, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, Mexico, <=50K\n25, Self-emp-not-inc,189027, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n38, Private,296125, HS-grad,9, Separated, Priv-house-serv, Unmarried, Black, Female,0,0,30, United-States, <=50K\n32, ?,640383, Bachelors,13, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,334291, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n56, Private,318450, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,80, United-States, >50K\n29, Private,174163, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,119721, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,142719, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,162593, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,236852, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n28, Local-gov,154863, HS-grad,9, Never-married, Protective-serv, Other-relative, Black, Male,0,1876,40, United-States, <=50K\n39, Private,168894, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n42, Self-emp-not-inc,344920, Some-college,10, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,50, United-States, <=50K\n39, Private,33355, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,48, United-States, >50K\n68, ?,196782, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n37, Self-emp-inc,291518, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,55, United-States, >50K\n57, Private,170244, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,369549, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n24, Private,23438, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, >50K\n19, Private,202673, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n55, Private,171780, Assoc-acdm,12, Divorced, Sales, Unmarried, Black, Female,0,0,30, United-States, <=50K\n37, Local-gov,264503, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,244341, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,209109, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,187392, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, State-gov,119578, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K\n51, Private,195105, HS-grad,9, Divorced, Priv-house-serv, Own-child, White, Female,0,0,40, United-States, <=50K\n52, Private,101752, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,56, United-States, <=50K\n74, ?,95825, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,3, United-States, <=50K\n49, Self-emp-inc,362654, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n20, ?,29810, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Federal-gov,77332, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n80, Private,87518, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,1816,60, United-States, <=50K\n63, Private,113324, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n63, Private,96299, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,45, United-States, >50K\n51, Private,237729, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,200973, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,212456, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K\n33, Self-emp-not-inc,131568, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,66, United-States, <=50K\n49, Private,185859, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K\n20, Private,231981, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,32, United-States, <=50K\n33, Self-emp-inc,117963, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,60, United-States, >50K\n26, Private,78172, Some-college,10, Married-AF-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,164135, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,171216, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n47, Private,140664, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n23, Private,249277, HS-grad,9, Never-married, Exec-managerial, Own-child, Black, Male,0,0,75, United-States, <=50K\n53, Federal-gov,117847, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,52372, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n26, Federal-gov,95806, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n53, Private,137428, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n65, Private,169047, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,10, United-States, <=50K\n68, Private,339168, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n30, Private,504725, 10th,6, Never-married, Sales, Other-relative, White, Male,0,0,18, Guatemala, <=50K\n28, Private,132870, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n54, Local-gov,135840, 10th,6, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, <=50K\n30, Private,35644, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n22, Private,198148, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K\n25, Private,220098, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n19, Private,262515, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,20, United-States, <=50K\n19, ?,423863, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n32, Federal-gov,111567, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,194096, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Local-gov,420917, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,197871, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, >50K\n46, Local-gov,253116, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n38, Private,206535, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,50, United-States, <=50K\n26, State-gov,70447, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n46, Private,201217, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,209970, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,196745, Some-college,10, Never-married, Other-service, Own-child, White, Female,594,0,16, United-States, <=50K\n29, Local-gov,175262, Masters,14, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0,0,35, United-States, <=50K\n51, Self-emp-inc,304955, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n40, Private,181265, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K\n24, Private,200973, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Self-emp-not-inc,37440, Bachelors,13, Never-married, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K\n31, Private,395170, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0,0,24, Mexico, <=50K\n54, ?,32385, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n34, Private,353213, Assoc-acdm,12, Separated, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n19, Private,38619, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,66, United-States, <=50K\n21, Private,177711, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n21, Private,190761, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n23, Private,27776, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,24, United-States, <=50K\n37, Federal-gov,470663, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,71738, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,46, United-States, >50K\n57, Private,74156, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n48, Private,202467, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1485,40, United-States, >50K\n24, Private,123983, 11th,7, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n43, Private,193494, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n32, ?,169886, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,20, ?, <=50K\n40, Private,130571, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, Self-emp-inc,90363, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,35, United-States, >50K\n49, Private,83444, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,239093, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,3137,0,40, United-States, <=50K\n62, Local-gov,151369, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,56630, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,117095, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Federal-gov,189985, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n20, ?,34862, Some-college,10, Never-married, ?, Own-child, Amer-Indian-Eskimo, Male,0,0,72, United-States, <=50K\n37, Self-emp-inc,126675, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n43, State-gov,199806, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,57596, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,103459, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n28, Private,282398, Some-college,10, Separated, Tech-support, Unmarried, White, Male,0,0,40, United-States, >50K\n38, Private,298841, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n45, Private,33300, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K\n22, ?,306031, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,306467, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n20, Private,189888, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Private,83861, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,117393, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,129934, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n51, Private,179010, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n31, Private,375680, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,40, ?, <=50K\n48, Private,316101, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,293305, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K\n51, Local-gov,175750, HS-grad,9, Divorced, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K\n41, Private,121718, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,1848,48, United-States, >50K\n62, ?,94931, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,3411,0,40, United-States, <=50K\n50, State-gov,229272, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n46, Private,142828, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n54, Private,22743, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,60, United-States, >50K\n68, Private,76371, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, >50K\n23, Self-emp-not-inc,216129, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n49, Private,107425, Masters,14, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n24, Private,611029, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n30, Local-gov,363032, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K\n38, Private,170020, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,45, United-States, <=50K\n34, Private,137900, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n22, Private,322674, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,23778, 7th-8th,4, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Private,147845, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,31, United-States, <=50K\n36, Private,175759, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-inc,166459, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,128212, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,40, Vietnam, >50K\n54, Federal-gov,127455, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, >50K\n63, Private,134699, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K\n51, Private,254230, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n63, Self-emp-not-inc,159715, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,116286, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n27, Private,146719, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n35, Private,361888, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n31, ?,26553, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, >50K\n46, Self-emp-not-inc,32825, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n53, Private,225768, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n26, Federal-gov,393728, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,24, United-States, <=50K\n43, Private,160369, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,191807, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n50, Federal-gov,176969, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,1590,40, United-States, <=50K\n54, Federal-gov,33863, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n62, ?,182687, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,45, United-States, >50K\n57, State-gov,141459, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, ?,174233, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,24, United-States, <=50K\n29, Local-gov,95393, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n20, Private,221095, HS-grad,9, Never-married, Craft-repair, Other-relative, Black, Male,0,0,40, United-States, <=50K\n53, Private,104501, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,55, United-States, >50K\n18, ?,437851, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n22, ?,131230, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,495888, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, El-Salvador, <=50K\n69, Private,185691, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,20, United-States, <=50K\n56, Private,201822, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2002,40, United-States, <=50K\n53, Local-gov,549341, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,35, United-States, <=50K\n28, Private,247445, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,199566, Bachelors,13, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Self-emp-inc,139057, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,84, Taiwan, >50K\n48, Private,185039, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n61, Private,166124, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,82649, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,45, United-States, <=50K\n48, Private,109275, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,408328, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,186338, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n27, ?,130856, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,251579, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,14, United-States, <=50K\n47, Private,76612, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,22546, Bachelors,13, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K\n72, Private,53684, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Private,183627, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,73203, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n57, Private,108426, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,48, England, <=50K\n50, Private,116287, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, Columbia, <=50K\n45, Self-emp-inc,145697, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n52, Private,326156, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n53, Private,201127, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n36, Private,250791, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, <=50K\n46, Private,328216, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,400443, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n75, Private,95985, 5th-6th,3, Widowed, Other-service, Unmarried, Black, Male,0,0,10, United-States, <=50K\n32, Local-gov,127651, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,250679, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,103950, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,200199, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n46, State-gov,295791, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n39, Private,191841, Assoc-acdm,12, Separated, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n38, Private,82622, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Private,160728, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K\n63, Local-gov,109849, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,21, United-States, <=50K\n28, Private,339897, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, Mexico, <=50K\n28, ?,37215, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,45, United-States, <=50K\n49, Private,371299, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n43, Private,421837, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n38, Private,29702, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n39, Private,117381, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,62, England, <=50K\n42, ?,240027, HS-grad,9, Divorced, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n40, Private,338740, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n45, ?,28359, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,10, United-States, <=50K\n29, ?,315026, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Federal-gov,314525, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1741,45, United-States, <=50K\n30, Private,173005, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n44, Private,286750, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Private,163985, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, <=50K\n30, Private,219318, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,35, Puerto-Rico, <=50K\n42, Private,44121, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,1876,40, United-States, <=50K\n52, Self-emp-not-inc,103794, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n42, Private,310632, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n39, Private,153976, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K\n43, Private,174575, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Male,0,0,45, United-States, <=50K\n62, Self-emp-not-inc,82388, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,10566,0,40, United-States, <=50K\n30, Private,207253, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, England, <=50K\n83, ?,251951, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n39, Private,746786, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n41, Private,308296, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,20, United-States, <=50K\n49, Private,101825, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,40, United-States, >50K\n25, Private,109009, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,413363, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2002,40, United-States, <=50K\n59, ?,117751, Assoc-acdm,12, Divorced, ?, Not-in-family, White, Male,0,0,8, United-States, <=50K\n44, State-gov,296326, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,208358, 9th,5, Divorced, Handlers-cleaners, Not-in-family, White, Male,4650,0,56, United-States, <=50K\n40, Private,120277, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Ireland, <=50K\n21, Private,193219, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,35, Jamaica, <=50K\n41, Private,86399, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n24, Private,215251, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n67, Self-emp-not-inc,124470, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n24, Private,228649, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, United-States, <=50K\n50, Self-emp-not-inc,386397, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n48, Private,96798, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K\n55, ?,106707, Assoc-acdm,12, Married-civ-spouse, ?, Husband, Black, Male,0,0,20, United-States, >50K\n29, Private,159768, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,3325,0,40, Ecuador, <=50K\n50, Private,139464, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,36, Ireland, <=50K\n64, State-gov,550848, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,68505, 9th,5, Divorced, Other-service, Not-in-family, Black, Male,0,0,37, United-States, <=50K\n20, Private,122215, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,52, United-States, <=50K\n30, Private,159442, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,80638, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,30, China, <=50K\n52, Private,192390, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,191324, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,25, United-States, <=50K\n77, ?,147284, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,14, United-States, <=50K\n19, State-gov,73009, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K\n52, Private,177858, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,55, United-States, >50K\n42, Private,163003, Bachelors,13, Married-spouse-absent, Tech-support, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n35, Private,95551, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Female,0,0,36, United-States, <=50K\n27, Private,125298, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n54, State-gov,198186, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n37, Private,295949, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1628,40, United-States, <=50K\n37, Private,182668, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n28, Private,124905, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n63, Private,171635, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,376240, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,42, United-States, <=50K\n28, Private,157391, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n23, ?,114357, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,178134, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n31, Private,207201, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,124483, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,50, ?, >50K\n64, Private,102103, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,50, United-States, <=50K\n40, Private,92036, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n59, Local-gov,236426, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n22, Private,400966, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,404573, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,44, United-States, <=50K\n35, Private,227571, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n20, Private,145917, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n35, Local-gov,190226, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,356555, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n28, Private,66473, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n37, ?,172256, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n72, ?,118902, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,2392,6, United-States, >50K\n25, Self-emp-inc,163039, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n37, Private,89559, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, ?,35507, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,45, United-States, <=50K\n31, Private,163303, Assoc-voc,11, Divorced, Sales, Own-child, White, Female,0,0,38, United-States, <=50K\n41, Private,192712, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n31, Private,381153, 10th,6, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,222434, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,34706, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,47, United-States, <=50K\n57, Self-emp-not-inc,47857, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,195216, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K\n44, Self-emp-inc,103643, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,60, Greece, <=50K\n29, Local-gov,329426, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,183612, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K\n40, Private,184105, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,211385, Assoc-acdm,12, Never-married, Other-service, Not-in-family, Black, Male,0,0,35, Jamaica, <=50K\n21, Private,61777, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,70, United-States, <=50K\n34, Self-emp-not-inc,320194, Prof-school,15, Separated, Prof-specialty, Unmarried, White, Male,0,0,48, United-States, >50K\n24, Private,199444, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,15, United-States, <=50K\n28, Private,312588, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,168675, HS-grad,9, Separated, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K\n35, Private,87556, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, State-gov,220421, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Federal-gov,404599, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n39, Private,99065, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, Poland, >50K\n57, Local-gov,109973, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,246652, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,57423, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n23, Private,291248, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,40, United-States, <=50K\n50, Private,163708, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,240358, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n28, Private,25955, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n44, Private,101593, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n29, Self-emp-not-inc,227890, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n31, Private,225053, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n27, Private,228472, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n34, Private,245378, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n50, Self-emp-inc,156623, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7688,0,50, Philippines, >50K\n27, Private,35032, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,258849, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,190115, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,63910, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n40, Private,510072, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n28, Private,210867, 11th,7, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,263024, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Private,306785, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Self-emp-inc,104333, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n66, Private,340734, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,288585, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,20, South, <=50K\n38, Private,241765, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,60, United-States, <=50K\n25, Private,111058, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,104662, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,22, United-States, <=50K\n90, Private,313986, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,52037, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, ?,146589, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,131776, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,914,0,40, Germany, <=50K\n33, Private,254221, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,152909, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,45, United-States, >50K\n39, Self-emp-not-inc,211785, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Female,0,0,20, United-States, <=50K\n59, Private,160362, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n19, Private,387215, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,1719,16, United-States, <=50K\n39, Private,187046, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4064,0,38, United-States, <=50K\n19, ?,208874, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,169631, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n52, Private,202956, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,80467, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n28, Private,407672, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,243425, HS-grad,9, Divorced, Other-service, Other-relative, White, Female,0,0,50, Peru, <=50K\n50, ?,174964, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,99, United-States, <=50K\n36, Private,347491, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,146161, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,449432, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n19, ?,175499, 11th,7, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n33, Private,288825, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,2258,84, United-States, <=50K\n27, Local-gov,134813, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,52, United-States, <=50K\n31, Local-gov,190401, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,260617, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,36, United-States, <=50K\n31, Private,45604, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,54, United-States, <=50K\n59, Private,67841, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n40, Local-gov,244522, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,48, United-States, >50K\n19, Private,430471, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,194698, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,94235, Bachelors,13, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n57, Private,188330, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,78, United-States, <=50K\n51, Local-gov,146181, 9th,5, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n21, Private,177125, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,20, United-States, <=50K\n30, Self-emp-inc,68330, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,95636, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K\n40, Private,238329, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K\n52, Private,416129, Preschool,1, Married-civ-spouse, Other-service, Not-in-family, White, Male,0,0,40, El-Salvador, <=50K\n23, Private,285004, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,50, Taiwan, <=50K\n90, ?,256514, Bachelors,13, Widowed, ?, Other-relative, White, Female,991,0,10, United-States, <=50K\n25, Private,186294, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n43, Private,188786, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n38, State-gov,31352, Some-college,10, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, >50K\n22, Private,197613, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n33, Local-gov,161942, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,1055,0,40, United-States, <=50K\n34, Private,275438, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K\n65, Private,361721, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n50, Private,144968, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,15, United-States, <=50K\n29, Private,190539, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,6849,0,48, United-States, <=50K\n25, Private,178037, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,306985, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Private,87928, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,242619, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,154165, 9th,5, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,511331, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K\n65, Local-gov,221026, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n56, Self-emp-not-inc,222182, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, <=50K\n39, Self-emp-not-inc,126569, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K\n23, Private,202344, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,190423, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n24, Private,238917, 5th-6th,3, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, El-Salvador, <=50K\n41, Private,221947, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K\n40, Self-emp-inc,37997, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n55, Private,147098, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n38, Private,278253, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K\n23, Private,195411, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n44, Private,76196, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n45, Private,120131, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K\n20, Self-emp-not-inc,186014, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, Germany, <=50K\n29, Private,205903, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n43, State-gov,125405, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,219838, 12th,8, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, State-gov,19395, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n31, Private,223327, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,114062, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,95654, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, Iran, >50K\n38, Private,177305, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n66, ?,299616, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n63, Self-emp-not-inc,117681, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,237651, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n33, State-gov,150570, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, State-gov,106705, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,1506,0,50, United-States, <=50K\n20, ?,174714, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n47, Self-emp-inc,175958, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,3325,0,60, United-States, <=50K\n33, Private,144064, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n66, ?,107112, 7th-8th,4, Never-married, ?, Other-relative, Black, Male,0,0,30, United-States, <=50K\n20, Private,54152, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, ?, <=50K\n28, Private,152951, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,190487, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,28, Ecuador, <=50K\n25, Private,306666, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,45, United-States, <=50K\n37, Private,195148, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, White, Male,3137,0,40, United-States, <=50K\n31, Self-emp-not-inc,226624, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n49, Private,157569, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, State-gov,22966, Some-college,10, Married-spouse-absent, Tech-support, Unmarried, White, Male,0,0,20, United-States, <=50K\n52, Private,379682, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,0,0,20, United-States, >50K\n29, Private,446559, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K\n18, Private,41794, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n31, Local-gov,90409, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n23, Private,125491, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Vietnam, <=50K\n27, ?,129661, Assoc-voc,11, Married-civ-spouse, ?, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, >50K\n54, Self-emp-not-inc,104748, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K\n50, Local-gov,169182, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,49, Dominican-Republic, <=50K\n46, Private,324655, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,1902,40, ?, >50K\n24, Private,122272, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Female,0,0,40, United-States, <=50K\n17, ?,114798, 11th,7, Never-married, ?, Own-child, White, Female,0,0,18, United-States, <=50K\n49, Self-emp-inc,289707, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K\n54, Local-gov,137691, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,84610, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K\n49, Private,166789, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,348728, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n23, Private,348092, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, Haiti, <=50K\n63, Private,154526, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n67, Private,288371, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Canada, >50K\n23, Private,182342, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,244366, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n66, Private,102423, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, United-States, <=50K\n25, Private,259688, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,98733, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,20, United-States, <=50K\n35, Private,174856, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,2885,0,40, United-States, <=50K\n67, Self-emp-not-inc,141797, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,327202, 12th,8, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n26, Private,76996, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n34, Private,260560, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,370990, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,129010, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,10, United-States, <=50K\n21, Private,452640, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n76, Self-emp-inc,120796, 9th,5, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n51, Federal-gov,45334, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,70, ?, <=50K\n26, Private,229523, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,56, United-States, <=50K\n18, Private,127388, 12th,8, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n18, ?,395567, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,119422, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1672,50, United-States, <=50K\n59, Private,193895, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Private,163083, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,14084,0,45, United-States, >50K\n33, Self-emp-not-inc,155343, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,72, United-States, <=50K\n25, Private,73895, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n48, Private,107682, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,10, United-States, <=50K\n64, Private,321166, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,5, United-States, <=50K\n47, Local-gov,154940, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K\n26, Private,103700, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,63509, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K\n21, Private,243842, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n54, ?,187221, 7th-8th,4, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n30, Private,58597, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,44, United-States, <=50K\n41, Self-emp-not-inc,190290, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, ?,158352, Masters,14, Never-married, ?, Not-in-family, White, Female,8614,0,35, United-States, >50K\n34, Private,62165, Some-college,10, Never-married, Sales, Other-relative, Black, Male,0,0,30, United-States, <=50K\n20, ?,307149, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n24, Private,280134, 10th,6, Never-married, Sales, Not-in-family, White, Male,0,0,49, El-Salvador, <=50K\n26, Private,118736, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n25, Private,171114, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,48, United-States, <=50K\n35, Private,169638, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,36, United-States, <=50K\n41, Private,125461, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n33, Private,145434, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,152182, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n27, Self-emp-inc,233724, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K\n32, Private,153963, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n51, Local-gov,88120, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n38, Private,96330, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n41, Local-gov,66118, Some-college,10, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,25, United-States, <=50K\n26, Private,182178, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,40, United-States, <=50K\n38, Self-emp-not-inc,53628, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Male,0,0,35, United-States, <=50K\n54, Private,174865, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n30, Private,66194, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, Outlying-US(Guam-USVI-etc), <=50K\n31, Private,73796, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K\n26, State-gov,28366, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n75, Self-emp-not-inc,231741, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,4931,0,3, United-States, <=50K\n29, Private,237865, Masters,14, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n61, Private,195453, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,116934, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K\n22, ?,87867, 12th,8, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n34, Private,456399, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,263608, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,263498, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,183765, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, ?, <=50K\n27, Federal-gov,469705, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,1980,40, United-States, <=50K\n39, Local-gov,113253, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n20, Private,138768, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,302146, 11th,7, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n68, Private,253866, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n28, Federal-gov,214858, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K\n43, Private,243476, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,169104, Some-college,10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,103218, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n41, Private,57233, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,228320, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n20, Private,217421, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n46, Private,185041, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,75, United-States, >50K\n27, Self-emp-not-inc,37302, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,70, United-States, >50K\n32, Private,261059, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K\n46, Private,59767, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n26, Private,333541, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K\n20, Private,133352, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n36, Private,99270, HS-grad,9, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,40, United-States, <=50K\n49, Private,204629, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,34104, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,55, United-States, >50K\n32, Private,312667, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n49, Private,329603, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n36, Private,281021, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n22, Private,275385, Some-college,10, Never-married, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K\n52, Federal-gov,129177, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,385591, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n22, ?,201179, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n72, Private,38360, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,16, United-States, <=50K\n30, Local-gov,73796, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,67671, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,257621, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K\n22, Private,180052, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n59, Private,656036, Bachelors,13, Separated, Adm-clerical, Unmarried, White, Male,0,0,60, United-States, <=50K\n46, Private,215943, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,488720, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n64, Federal-gov,199298, 7th-8th,4, Widowed, Other-service, Unmarried, White, Female,0,0,30, Puerto-Rico, <=50K\n31, Private,305692, Some-college,10, Married-civ-spouse, Sales, Wife, Black, Female,0,0,40, United-States, <=50K\n64, Private,114994, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n45, Private,88265, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Private,168569, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K\n32, Private,175413, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, Jamaica, <=50K\n43, Private,161226, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n66, ?,160995, 10th,6, Divorced, ?, Not-in-family, White, Female,1086,0,20, United-States, <=50K\n23, Private,208598, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n49, Self-emp-not-inc,200471, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,256609, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n49, Private,176684, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,206512, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,212640, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,85, United-States, <=50K\n47, Private,148724, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K\n41, Private,266510, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,240252, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,358975, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n20, ?,124242, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,434710, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n25, Private,204338, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,30, ?, <=50K\n46, Private,241844, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,191342, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K\n41, Private,221947, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, >50K\n44, Private,111483, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,1504,50, United-States, <=50K\n30, Private,65278, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,133403, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,166416, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K\n58, ?,142158, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K\n21, Private,221480, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,25, Ecuador, <=50K\n35, Self-emp-not-inc,189878, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,278403, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, >50K\n19, Private,184710, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n48, Private,177775, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, ?,275943, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Nicaragua, <=50K\n65, Self-emp-not-inc,225473, Some-college,10, Widowed, Craft-repair, Not-in-family, White, Female,0,0,35, United-States, <=50K\n40, Private,289403, Bachelors,13, Separated, Adm-clerical, Unmarried, Black, Male,0,0,35, United-States, <=50K\n26, Private,269060, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,449354, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,214413, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,80058, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,202027, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,27828,0,50, United-States, >50K\n22, Self-emp-not-inc,123440, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K\n37, Private,191524, Assoc-voc,11, Separated, Prof-specialty, Own-child, White, Female,0,0,38, United-States, <=50K\n25, Private,308144, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n64, Private,164204, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,53, ?, <=50K\n46, Private,205100, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n30, Private,195750, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,27, United-States, <=50K\n63, Private,149756, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n51, Local-gov,240358, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n68, Self-emp-not-inc,241174, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,16, United-States, <=50K\n36, Private,356838, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, Canada, <=50K\n28, Self-emp-inc,115705, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n41, Local-gov,137142, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,296066, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,401335, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n33, ?,182771, Bachelors,13, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,80, Philippines, <=50K\n34, Self-emp-inc,186824, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n46, Federal-gov,162187, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,98010, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,172538, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K\n18, Private,80163, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n33, Local-gov,43959, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n51, Private,162632, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,60, United-States, >50K\n56, Self-emp-not-inc,115422, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n54, Private,100933, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,270379, HS-grad,9, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n40, Private,20109, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Female,0,0,84, United-States, <=50K\n53, Private,114758, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,65, United-States, >50K\n22, Private,100345, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n33, Private,184901, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,87239, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n63, Private,127363, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,12, United-States, <=50K\n53, Federal-gov,199720, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, Germany, >50K\n37, Private,143058, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n50, Federal-gov,36489, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n22, Private,141698, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Federal-gov,26358, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,195532, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,8614,0,40, United-States, >50K\n21, Private,30039, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,125159, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, Jamaica, <=50K\n20, Private,246250, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Federal-gov,77370, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,355569, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n32, Private,180603, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,201785, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,256211, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n27, Private,146764, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n22, ?,211968, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, Iran, <=50K\n29, Private,200515, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, <=50K\n29, Private,52636, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,27049, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K\n35, Private,111128, 10th,6, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,348038, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, Puerto-Rico, >50K\n33, Private,93930, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n67, Private,397831, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1539,40, United-States, <=50K\n46, Private,33794, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,10, United-States, <=50K\n45, Private,178215, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K\n17, Local-gov,191910, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n35, Private,340110, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,70, United-States, >50K\n48, Self-emp-not-inc,133694, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, Black, Male,0,0,40, Jamaica, >50K\n49, Private,148398, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n20, Private,133515, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n27, Private,181667, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013,0,46, Canada, <=50K\n64, Private,159715, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n53, Federal-gov,174040, Some-college,10, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n52, Private,117700, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,37215, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n32, Self-emp-inc,46807, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K\n48, Self-emp-not-inc,317360, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K\n30, Private,425627, Some-college,10, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K\n34, Private,82623, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n19, ?,63574, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K\n39, Private,140854, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n28, Private,185061, 11th,7, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n17, Private,160118, 12th,8, Never-married, Sales, Not-in-family, White, Female,0,0,10, ?, <=50K\n54, Private,282680, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n24, Private,137591, Some-college,10, Never-married, Sales, Own-child, White, Male,0,1762,40, United-States, <=50K\n25, Private,198163, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,132749, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,12, United-States, <=50K\n48, Local-gov,31264, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,5178,0,40, United-States, >50K\n24, Private,399449, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,27494, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, Taiwan, <=50K\n47, Private,368561, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,102096, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K\n19, Private,406078, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n52, Self-emp-inc,100506, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n52, Private,29658, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,20469, HS-grad,9, Never-married, ?, Other-relative, Asian-Pac-Islander, Female,0,0,12, South, <=50K\n60, Private,181953, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,28, United-States, <=50K\n43, Private,304175, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,170070, Assoc-acdm,12, Divorced, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n20, ?,193416, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Private,194908, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,357962, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,214716, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n40, Self-emp-inc,207578, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n54, Private,146409, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,341643, Bachelors,13, Never-married, Other-service, Other-relative, White, Male,0,0,50, United-States, <=50K\n52, Private,131631, 11th,7, Separated, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K\n53, Private,88842, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K\n56, ?,128900, Some-college,10, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n35, Private,417136, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,336763, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,880,42, United-States, <=50K\n29, Private,209301, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, <=50K\n29, Private,120986, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,65, United-States, <=50K\n27, Private,51025, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Private,218281, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K\n64, Private,114994, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,18, United-States, <=50K\n53, Private,335481, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,32, United-States, <=50K\n21, Private,174503, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n40, Self-emp-not-inc,230478, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K\n52, State-gov,149650, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Iran, >50K\n38, Private,149419, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K\n40, ?,341539, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n39, Private,185099, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n56, ?,132930, Masters,14, Never-married, ?, Not-in-family, White, Female,0,0,50, United-States, >50K\n68, Private,128472, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n24, Private,124971, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K\n40, Self-emp-inc,344060, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n43, Self-emp-inc,286750, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,99, United-States, >50K\n38, Private,296999, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,70, United-States, <=50K\n45, Private,123681, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,232024, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,55, United-States, <=50K\n57, Local-gov,52267, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n49, Private,119182, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n25, Private,191230, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, Yugoslavia, <=50K\n52, Federal-gov,23780, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Private,184553, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,56, United-States, <=50K\n26, Self-emp-inc,242651, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K\n19, Private,246226, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Self-emp-inc,86745, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n25, Private,106889, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K\n21, Private,460835, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,45, United-States, <=50K\n48, Self-emp-not-inc,213140, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K\n33, State-gov,37070, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Canada, <=50K\n31, State-gov,93589, HS-grad,9, Divorced, Protective-serv, Own-child, Other, Male,0,0,40, United-States, <=50K\n26, Self-emp-not-inc,213258, HS-grad,9, Divorced, Farming-fishing, Unmarried, White, Male,0,0,65, United-States, <=50K\n37, State-gov,46814, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K\n29, ?,168873, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,30, United-States, <=50K\n20, Private,284737, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n28, Private,309620, Some-college,10, Married-civ-spouse, Sales, Husband, Other, Male,0,0,60, ?, <=50K\n49, Private,197418, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n73, ?,132737, 10th,6, Never-married, ?, Not-in-family, White, Male,0,0,4, United-States, <=50K\n49, Private,185041, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n51, Private,159604, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n40, Private,123557, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,275421, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n18, Private,167147, 12th,8, Never-married, Sales, Own-child, White, Male,0,0,24, United-States, <=50K\n41, Private,197583, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K\n46, Private,175109, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1485,40, United-States, >50K\n46, Private,117502, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n64, Private,180401, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n50, Self-emp-not-inc,146603, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n53, State-gov,143822, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K\n21, Private,51985, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, State-gov,48121, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K\n37, Private,234807, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,7430,0,45, United-States, >50K\n39, Federal-gov,65324, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K\n30, Private,302149, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n25, Private,168403, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1741,40, United-States, <=50K\n26, Private,159897, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n43, Private,416338, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n59, Private,370615, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,60, United-States, <=50K\n27, Private,219371, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, Jamaica, <=50K\n55, Private,120970, 10th,6, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n20, Private,22966, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,12, Canada, <=50K\n25, Private,34541, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, Canada, <=50K\n28, Private,191027, Assoc-acdm,12, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,107458, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n60, Private,121832, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n37, Local-gov,233825, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,50, United-States, >50K\n25, Private,73839, 11th,7, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,109165, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n50, State-gov,103063, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-not-inc,29762, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,5013,0,70, United-States, <=50K\n46, Private,111979, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, <=50K\n35, Private,150125, Assoc-voc,11, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n21, ?,301853, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n35, ?,296738, 11th,7, Separated, ?, Not-in-family, White, Female,6849,0,60, United-States, <=50K\n40, Private,118001, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n49, Private,149337, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,36601, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n43, Local-gov,118600, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,625,40, United-States, <=50K\n39, Private,279272, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,60, United-States, <=50K\n35, Private,181020, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,60, United-States, <=50K\n52, Private,165998, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,218136, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, Outlying-US(Guam-USVI-etc), <=50K\n20, Self-emp-inc,182200, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K\n46, Private,39363, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,10, ?, <=50K\n24, Private,140001, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,193260, Bachelors,13, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,30, India, <=50K\n21, Private,191243, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Federal-gov,207887, Bachelors,13, Divorced, Exec-managerial, Other-relative, White, Female,0,0,50, United-States, <=50K\n43, Federal-gov,211450, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,184759, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,26, United-States, <=50K\n47, Private,197836, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n61, Private,232308, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n21, ?,189888, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,0,0,55, United-States, <=50K\n35, Private,301614, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K\n60, Private,146674, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,225291, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Local-gov,148509, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,35, India, <=50K\n56, Private,136413, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,126060, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,73064, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,35, United-States, <=50K\n19, Private,39026, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n28, Self-emp-not-inc,33035, 12th,8, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n43, Private,193494, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n63, Local-gov,147440, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n22, ?,153131, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,64671, HS-grad,9, Divorced, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n35, Self-emp-not-inc,225399, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,8614,0,40, United-States, >50K\n20, Private,174391, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n48, Private,377757, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K\n30, Local-gov,364310, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, Germany, <=50K\n31, Private,110643, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,70240, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,24, Philippines, <=50K\n57, State-gov,32694, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n41, Private,95047, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,44, United-States, >50K\n33, Private,264936, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n27, Private,367329, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,56026, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n22, Private,186452, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n50, Private,125417, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, >50K\n40, Self-emp-not-inc,242082, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n37, Private,31023, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,51, United-States, <=50K\n40, ?,397346, Assoc-acdm,12, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,424079, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n38, Self-emp-not-inc,108947, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688,0,40, United-States, >50K\n25, State-gov,261979, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,55507, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n22, ?,291407, 12th,8, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n18, Private,353358, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n41, Private,67339, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7688,0,40, United-States, >50K\n33, Private,235109, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,208180, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n67, State-gov,423561, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,145290, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,50, United-States, >50K\n24, Private,403671, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Local-gov,49325, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,370494, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n25, Private,267012, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n33, Private,191856, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Private,80445, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,379798, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n32, Local-gov,168387, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n18, Private,301948, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,34095,0,3, United-States, <=50K\n36, Private,274809, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n58, Private,233193, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,27, United-States, <=50K\n34, Private,299635, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n19, Private,236396, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,688355, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Self-emp-inc,37019, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n37, Private,148015, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,15024,0,40, United-States, >50K\n43, Private,122975, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,21, Trinadad&Tobago, <=50K\n52, State-gov,349795, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,229846, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,40, ?, <=50K\n43, Private,108945, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K\n22, Private,237498, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n57, Private,188872, 5th-6th,3, Divorced, Transport-moving, Unmarried, White, Male,6497,0,40, United-States, <=50K\n37, Private,324019, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,82488, Some-college,10, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female,0,0,38, United-States, <=50K\n54, Private,206964, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,37088, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,152540, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n65, Private,143554, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n30, Private,126242, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n22, Private,127185, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,164018, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,4064,0,50, United-States, <=50K\n25, Private,210184, 11th,7, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n35, ?,117528, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K\n47, Private,124973, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n23, Private,182117, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,60, United-States, <=50K\n42, Private,220049, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K\n39, Self-emp-not-inc,247975, Some-college,10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K\n55, Private,50164, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n24, State-gov,123160, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,10, China, <=50K\n46, Self-emp-inc,219962, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, ?, >50K\n53, Private,79324, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,129100, 11th,7, Separated, Other-service, Unmarried, Black, Female,0,0,60, United-States, <=50K\n40, Private,210275, HS-grad,9, Separated, Transport-moving, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, Private,189462, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n26, Private,171114, Assoc-voc,11, Separated, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n22, Private,201799, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n35, ?,200426, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,12, United-States, <=50K\n20, ?,24395, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,20, United-States, <=50K\n43, Private,191149, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Local-gov,34173, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, <=50K\n30, Private,350979, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K\n41, Private,147314, HS-grad,9, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K\n38, Private,136081, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n77, ?,232894, 9th,5, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,373403, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n20, Private,120601, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n36, Private,130926, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,3674,0,40, United-States, <=50K\n32, Federal-gov,72338, Assoc-voc,11, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n27, Private,129624, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, State-gov,328697, Some-college,10, Divorced, Protective-serv, Other-relative, White, Male,0,0,45, United-States, <=50K\n40, Private,191196, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, ?,191117, 11th,7, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n49, Private,110243, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n17, Private,181580, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n29, Private,89030, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Private,345493, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999,0,55, Taiwan, >50K\n24, Self-emp-not-inc,277700, Some-college,10, Separated, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K\n58, ?,198478, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K\n29, Private,250679, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,168837, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,24, Canada, >50K\n30, Private,142675, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n19, Private,299050, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n59, Private,107833, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1485,40, United-States, >50K\n47, Private,121958, 7th-8th,4, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n41, Private,282948, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,3137,0,40, United-States, <=50K\n28, Private,176683, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, France, <=50K\n46, Private,34377, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-not-inc,209833, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n66, State-gov,41506, 10th,6, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n30, Local-gov,125159, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,14084,0,45, ?, >50K\n44, Self-emp-not-inc,147206, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,12, United-States, <=50K\n58, Self-emp-not-inc,93664, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n21, Private,315065, 7th-8th,4, Never-married, Other-service, Other-relative, White, Male,0,0,48, Mexico, <=50K\n59, Private,381851, 9th,5, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n35, Local-gov,185769, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,186272, 9th,5, Married-civ-spouse, Adm-clerical, Husband, Black, Male,5178,0,40, United-States, >50K\n30, Private,312667, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,343925, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K\n26, Private,195994, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n48, Private,398843, Some-college,10, Separated, Sales, Unmarried, Black, Female,0,0,35, United-States, <=50K\n31, Private,73514, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n36, Private,288049, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n48, Private,54759, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K\n30, Private,155343, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n33, Private,401104, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, >50K\n19, ?,124884, 9th,5, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n37, Local-gov,287306, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, Black, Female,99999,0,40, ?, >50K\n53, Private,113995, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n18, Private,146378, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, ?, <=50K\n38, Private,111499, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,50, United-States, >50K\n34, Private,34374, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K\n45, Private,162187, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K\n33, Local-gov,147654, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n35, Private,182467, Assoc-voc,11, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,44, United-States, <=50K\n22, Private,183970, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n35, Private,332588, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n45, Private,26781, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,8, United-States, <=50K\n17, Private,48610, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,45, United-States, <=50K\n50, Private,162632, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n38, Local-gov,91711, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,198003, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K\n46, Private,179048, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, ?, <=50K\n25, Private,262778, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,6849,0,50, United-States, <=50K\n64, Private,102470, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,123170, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, <=50K\n32, Private,164243, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, >50K\n17, Private,262511, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n61, Private,51170, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n40, State-gov,91949, Doctorate,16, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n21, Private,123727, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K\n39, Private,173175, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n35, Self-emp-not-inc,120301, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n29, Private,250967, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n27, Federal-gov,285432, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n20, Private,36235, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, ?,317219, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, >50K\n51, Local-gov,110965, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,123283, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,15, United-States, <=50K\n20, ?,249087, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,152940, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,376680, HS-grad,9, Never-married, Tech-support, Own-child, Black, Male,0,0,40, United-States, <=50K\n56, Private,231232, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, Canada, <=50K\n55, Self-emp-not-inc,168625, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,12, United-States, >50K\n26, Private,33939, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,20, United-States, <=50K\n46, Private,155659, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,45, United-States, >50K\n32, Local-gov,190228, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,216178, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,587310, 7th-8th,4, Never-married, Other-service, Other-relative, White, Male,0,0,35, Guatemala, <=50K\n23, Private,155919, 9th,5, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n59, Private,227386, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,138152, 12th,8, Never-married, Craft-repair, Other-relative, Other, Male,0,0,48, Guatemala, <=50K\n36, Private,167482, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,57957, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n33, Private,157747, 9th,5, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,70, United-States, <=50K\n60, Self-emp-not-inc,88570, Assoc-voc,11, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,15, Germany, >50K\n40, Private,273308, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,48, Mexico, <=50K\n48, Private,216292, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,43, United-States, <=50K\n27, Self-emp-not-inc,131298, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n19, Private,386378, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n38, Private,179668, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,210812, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,43, United-States, <=50K\n45, Federal-gov,311671, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,3908,0,40, United-States, <=50K\n20, Private,215247, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n32, Federal-gov,125856, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n22, Private,74631, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,13, United-States, <=50K\n22, Private,24008, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, State-gov,354591, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,114,0,38, United-States, <=50K\n34, Private,155343, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,50, United-States, >50K\n46, Private,308334, 1st-4th,2, Widowed, Other-service, Unmarried, Other, Female,0,0,30, Mexico, <=50K\n39, Private,245361, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,25, United-States, <=50K\n79, Self-emp-not-inc,158319, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n60, ?,204486, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, >50K\n24, Private,314823, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, Dominican-Republic, <=50K\n31, Private,211334, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,65, United-States, <=50K\n37, Self-emp-not-inc,73199, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,3137,0,77, Vietnam, <=50K\n23, Private,126550, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n31, Private,260782, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1579,45, El-Salvador, <=50K\n29, Private,114224, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n22, State-gov,64292, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,43, United-States, <=50K\n69, ?,628797, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n55, Local-gov,219775, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K\n43, Private,212894, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n23, Private,260019, 7th-8th,4, Never-married, Farming-fishing, Unmarried, Other, Male,0,0,36, Mexico, <=50K\n29, Private,228075, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,35, Mexico, <=50K\n22, Private,239806, Assoc-voc,11, Never-married, Other-service, Other-relative, White, Female,0,0,40, Mexico, <=50K\n22, Private,324637, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K\n25, Private,163620, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,84, United-States, >50K\n29, Private,194200, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,45, United-States, <=50K\n25, State-gov,129200, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n33, Federal-gov,207172, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,135312, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n31, Private,100734, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,28, United-States, <=50K\n30, Local-gov,226443, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,45, United-States, >50K\n55, Private,110871, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,192704, 12th,8, Never-married, Exec-managerial, Not-in-family, White, Male,4650,0,50, United-States, <=50K\n47, ?,224108, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,78870, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,8614,0,40, United-States, >50K\n42, Private,107762, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n51, Private,183611, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,0,0,55, Germany, <=50K\n62, Local-gov,249078, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n65, Self-emp-inc,208452, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K\n23, Private,302195, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n60, ?,199947, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K\n47, Private,379118, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, United-States, >50K\n50, Self-emp-inc,174855, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n70, ?,173736, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K\n32, Self-emp-not-inc,39369, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Federal-gov,196348, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,340917, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,14344,0,40, United-States, >50K\n76, Private,97077, 10th,6, Widowed, Sales, Unmarried, Black, Female,0,0,12, United-States, <=50K\n54, Private,200098, Bachelors,13, Divorced, Sales, Not-in-family, Black, Female,0,0,60, United-States, <=50K\n32, Federal-gov,127651, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,315128, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,52, United-States, <=50K\n31, Federal-gov,206823, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,50, United-States, >50K\n65, Self-emp-not-inc,316093, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,1668,40, United-States, <=50K\n30, Private,112115, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, Ireland, >50K\n63, ?,203821, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,250051, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K\n40, Federal-gov,298635, Masters,14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,1902,40, Philippines, >50K\n26, State-gov,109193, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,130849, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,8, United-States, <=50K\n34, Local-gov,43959, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n66, Local-gov,222810, Some-college,10, Divorced, Other-service, Other-relative, White, Female,7896,0,40, ?, >50K\n44, Self-emp-not-inc,27242, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K\n30, Private,53158, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,206520, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,164190, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,287988, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K\n28, ?,200819, 7th-8th,4, Divorced, ?, Own-child, White, Male,0,0,84, United-States, <=50K\n23, Private,83891, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n49, Private,65087, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n39, Self-emp-not-inc,363418, Bachelors,13, Separated, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n67, ?,182378, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,9386,0,60, United-States, >50K\n19, Private,278870, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K\n30, Private,174789, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,50, United-States, >50K\n25, Private,228608, Some-college,10, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Female,0,0,40, Cambodia, <=50K\n24, Private,184400, HS-grad,9, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,30, ?, <=50K\n46, Private,263568, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,117381, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n41, Federal-gov,83411, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,49156, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K\n44, Private,421449, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,238944, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,188982, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,20, United-States, >50K\n48, Private,175925, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n34, Private,164190, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,232914, Assoc-voc,11, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n46, Self-emp-inc,120121, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n36, Local-gov,180805, HS-grad,9, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n59, Local-gov,161944, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K\n29, Private,319149, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Mexico, <=50K\n50, ?,22428, Masters,14, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,290528, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,123984, Assoc-acdm,12, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Philippines, <=50K\n48, Private,34186, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n51, Federal-gov,282680, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,70, United-States, >50K\n36, Private,183892, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,8614,0,45, United-States, >50K\n42, Local-gov,195124, 11th,7, Divorced, Sales, Unmarried, White, Male,7430,0,50, Puerto-Rico, >50K\n49, State-gov,55938, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,209900, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,20, United-States, <=50K\n40, Private,179717, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,1564,60, United-States, >50K\n26, Private,150361, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n69, ?,164102, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, >50K\n59, Private,252714, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, Italy, <=50K\n30, Private,205204, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Local-gov,168906, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K\n30, Private,112115, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,116531, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, ?,202994, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,16, United-States, <=50K\n56, Private,191917, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,4101,0,40, United-States, <=50K\n24, Private,341294, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,216734, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K\n51, Private,182187, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n34, Private,424988, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n47, Private,379118, HS-grad,9, Divorced, Other-service, Unmarried, Black, Male,0,0,9, United-States, <=50K\n47, Private,168232, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,44, United-States, >50K\n20, Private,147171, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n34, Self-emp-inc,207668, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,54, ?, >50K\n31, Private,193650, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,200187, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n52, Private,188644, 5th-6th,3, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K\n56, Private,398067, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Private,29658, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,154966, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n81, Private,364099, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n28, ?,291374, 10th,6, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n57, Federal-gov,97837, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, >50K\n34, Private,117983, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, ?,345497, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,64167, Assoc-voc,11, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n20, Private,315877, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,2001,40, United-States, <=50K\n68, Federal-gov,232151, Some-college,10, Divorced, Adm-clerical, Other-relative, Black, Female,2346,0,40, United-States, <=50K\n60, Private,225526, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K\n37, Federal-gov,289653, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,179462, 7th-8th,4, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Federal-gov,67317, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,77764, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,253438, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n31, Private,150309, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Female,0,0,70, United-States, <=50K\n47, Self-emp-not-inc,83064, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n60, Self-emp-not-inc,376973, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K\n75, Private,311184, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,24, United-States, <=50K\n43, Local-gov,159449, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,168288, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,74883, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,1092,40, Philippines, <=50K\n20, Private,275190, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Private,189838, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n57, Self-emp-inc,101338, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n43, Private,331894, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n18, Self-emp-not-inc,40293, HS-grad,9, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,88904, Bachelors,13, Separated, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, Private,145041, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Dominican-Republic, <=50K\n35, Private,46385, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,90, United-States, >50K\n41, State-gov,363591, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,183327, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Female,0,1594,20, United-States, <=50K\n32, State-gov,182556, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,45, United-States, >50K\n33, Private,267859, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, El-Salvador, <=50K\n58, Private,190747, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,162869, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,65, United-States, <=50K\n33, Private,141229, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n42, Self-emp-not-inc,174216, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n25, Private,366416, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,172538, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n35, Private,193026, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n50, Private,184424, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1902,38, United-States, >50K\n49, Local-gov,337768, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n25, Local-gov,179059, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Federal-gov,99549, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,72619, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n42, State-gov,55764, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n37, Private,30267, 11th,7, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, >50K\n25, Private,308144, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n29, Private,206351, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n26, Private,282304, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n26, ?,176077, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-inc,142719, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,114973, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K\n33, Federal-gov,159548, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n43, Private,91209, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,196564, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n51, Self-emp-not-inc,149220, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, <=50K\n21, Private,169699, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n23, Private,218215, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n30, Private,156718, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,55720, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n38, Self-emp-inc,257250, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n20, Private,194630, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,398931, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1485,50, United-States, >50K\n37, Self-emp-not-inc,362062, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n44, Local-gov,101593, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,1876,42, United-States, <=50K\n33, Private,196266, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n45, Local-gov,197332, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,97842, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,86837, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,1902,40, United-States, >50K\n17, Private,57324, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n43, Private,116852, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,36, Portugal, >50K\n45, Private,154430, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,10520,0,50, United-States, >50K\n37, Private,38468, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Local-gov,188808, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n55, Local-gov,177163, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,914,0,50, United-States, <=50K\n41, Private,187322, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n23, Private,107578, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,2174,0,40, United-States, <=50K\n38, Private,168680, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n23, Private,256755, Bachelors,13, Never-married, Handlers-cleaners, Other-relative, White, Female,0,0,40, Cuba, <=50K\n35, Private,360799, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n18, Private,188476, 11th,7, Never-married, Exec-managerial, Own-child, White, Male,0,0,20, United-States, <=50K\n47, Private,30457, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,252752, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,8, United-States, <=50K\n41, Self-emp-not-inc,443508, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,244408, Some-college,10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,24, Vietnam, <=50K\n41, Private,178983, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n26, Private,143068, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,2407,0,50, United-States, <=50K\n30, Local-gov,247328, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,201732, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,246829, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, ?,290267, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,18, United-States, <=50K\n29, Private,119170, Some-college,10, Separated, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n21, Private,207923, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n48, State-gov,170142, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n44, Self-emp-not-inc,187164, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,60, United-States, <=50K\n34, Local-gov,303867, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,291429, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n32, Private,213179, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, >50K\n31, State-gov,111843, Assoc-acdm,12, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n25, Private,297154, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2407,0,40, United-States, <=50K\n47, Federal-gov,68493, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n46, Federal-gov,340718, 11th,7, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,194059, 12th,8, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,47296, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1740,20, United-States, <=50K\n28, State-gov,286310, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,207202, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K\n33, Self-emp-inc,132601, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n17, ?,139183, 10th,6, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K\n41, Private,160785, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,117849, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n38, Local-gov,225605, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, <=50K\n24, Private,190290, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n49, Private,164799, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n60, Federal-gov,21876, Some-college,10, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n44, Private,160785, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n63, Self-emp-inc,272425, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,168538, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n45, Self-emp-inc,204205, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n49, Private,142287, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,50, United-States, >50K\n36, Private,169926, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Local-gov,205024, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,8, United-States, <=50K\n41, Private,374764, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Male,0,0,20, United-States, <=50K\n25, Private,108779, Masters,14, Separated, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n20, ?,293136, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n60, Private,227332, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Local-gov,246308, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, Puerto-Rico, <=50K\n28, Private,51331, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,16, United-States, >50K\n31, Private,153078, Assoc-acdm,12, Never-married, Craft-repair, Own-child, Other, Male,0,0,50, United-States, <=50K\n47, Private,169180, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n45, Self-emp-not-inc,193451, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n51, Private,305147, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,138892, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,402397, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,60, United-States, >50K\n34, Private,223267, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Male,0,0,50, United-States, <=50K\n19, Private,29250, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K\n51, ?,203953, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n46, State-gov,29696, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,315640, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1977,40, China, >50K\n37, Private,632613, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, Mexico, <=50K\n56, Private,282023, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n29, Private,77760, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n46, Self-emp-not-inc,148599, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n55, Private,414994, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,339863, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,8614,0,48, United-States, >50K\n34, Private,499249, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n45, ?,144354, 9th,5, Separated, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n41, Private,252058, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, ?,99543, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n34, Private,117963, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,194652, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n29, Private,299705, Some-college,10, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,37, United-States, <=50K\n19, Federal-gov,27433, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n47, Local-gov,39986, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-inc,135342, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,270142, Assoc-voc,11, Separated, Exec-managerial, Unmarried, Black, Female,0,0,60, United-States, <=50K\n33, Self-emp-not-inc,118267, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n29, Private,266043, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,35633, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,74568, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,214816, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n43, Private,222971, 5th-6th,3, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K\n31, Private,259425, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n47, Self-emp-inc,212120, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,245880, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K\n58, Local-gov,54947, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K\n47, Self-emp-inc,79627, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,27828,0,50, United-States, >50K\n55, Private,151474, Bachelors,13, Never-married, Tech-support, Other-relative, White, Female,0,1590,38, United-States, <=50K\n26, Private,132661, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,5013,0,40, United-States, <=50K\n28, Private,161674, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,62346, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Private,227236, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n19, Private,283033, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n63, Self-emp-not-inc,298249, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,10605,0,40, United-States, >50K\n42, Private,251229, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n76, Private,199949, 9th,5, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,13, United-States, <=50K\n23, State-gov,305498, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,203836, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, State-gov,79440, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,30, Japan, <=50K\n48, Local-gov,142719, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,119859, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, >50K\n32, Private,141410, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n44, Local-gov,202872, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,25, United-States, <=50K\n27, Private,198813, HS-grad,9, Divorced, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n33, Federal-gov,129707, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n22, Private,445758, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n18, ?,30246, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n44, Private,173981, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,108506, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n34, Private,134886, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Federal-gov,181970, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1672,40, United-States, <=50K\n57, Self-emp-inc,282913, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Cuba, <=50K\n59, Local-gov,196013, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n33, Federal-gov,348491, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, >50K\n52, Private,416164, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0,0,49, Mexico, <=50K\n17, Private,121037, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n29, Private,103111, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, Canada, <=50K\n63, Self-emp-not-inc,147589, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K\n20, Private,24008, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,24, United-States, <=50K\n42, Self-emp-inc,123838, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n50, Self-emp-not-inc,175456, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n55, Private,84774, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,30, United-States, <=50K\n27, Private,194590, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,25, United-States, <=50K\n28, Private,134566, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n55, Private,211678, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n44, Federal-gov,44822, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n53, State-gov,144586, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,119156, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,371987, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, State-gov,144125, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Private,31905, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n48, Self-emp-not-inc,121124, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n46, Private,58126, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,318518, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,296509, 7th-8th,4, Separated, Farming-fishing, Not-in-family, White, Male,0,0,45, Mexico, <=50K\n32, Private,473133, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,155434, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n52, Private,99185, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, United-States, >50K\n39, Private,56648, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,47, United-States, <=50K\n57, Local-gov,118481, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n21, Private,321666, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,594,0,40, United-States, <=50K\n22, State-gov,119838, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n26, Private,330695, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n26, State-gov,58039, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,313022, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n42, Private,178134, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n40, Private,165309, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,43, United-States, <=50K\n22, Private,216181, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K\n62, Private,178745, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n44, Private,111067, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,163788, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,295591, 1st-4th,2, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n45, Private,123075, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n18, Private,78045, 11th,7, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Local-gov,255004, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,254221, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, >50K\n20, Private,174714, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,15, United-States, <=50K\n68, Self-emp-not-inc,450580, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K\n61, Private,128230, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n48, Private,192894, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,325390, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,20333, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,7688,0,40, United-States, >50K\n32, Federal-gov,128714, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,32, United-States, <=50K\n35, Private,170797, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,269186, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,127671, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,211840, Some-college,10, Separated, Sales, Unmarried, Black, Female,0,0,16, United-States, <=50K\n37, Private,163392, HS-grad,9, Never-married, Transport-moving, Other-relative, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n40, Private,201495, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,45, United-States, <=50K\n25, Private,251854, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K\n41, Private,279297, HS-grad,9, Never-married, Sales, Not-in-family, Black, Female,0,0,60, United-States, <=50K\n52, Self-emp-not-inc,195462, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,98, United-States, >50K\n33, Private,170769, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,142443, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Self-emp-not-inc,182809, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n53, Private,121441, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n44, Private,275094, 1st-4th,2, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n35, Private,170263, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,172571, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,58, Poland, <=50K\n34, Private,178615, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,279524, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, State-gov,165201, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,45, United-States, <=50K\n65, Local-gov,323006, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K\n29, Private,235168, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n39, Self-emp-inc,114844, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,65, United-States, >50K\n46, Local-gov,216414, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,34378, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,2580,0,60, United-States, <=50K\n47, State-gov,80914, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,47, United-States, >50K\n62, Private,73292, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,212165, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n90, Private,52386, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,35, United-States, <=50K\n33, Private,205649, Assoc-acdm,12, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K\n57, Private,109638, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,45, United-States, <=50K\n25, Private,200408, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-inc,187720, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,236180, Bachelors,13, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K\n21, Private,118693, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,363130, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,18, United-States, <=50K\n39, Private,225544, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Poland, <=50K\n59, Federal-gov,243612, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,160786, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n49, Private,234320, 7th-8th,4, Never-married, Prof-specialty, Other-relative, Black, Male,0,0,45, United-States, <=50K\n34, Private,314646, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,124971, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,209184, Bachelors,13, Married-civ-spouse, Sales, Husband, Other, Male,0,0,40, Puerto-Rico, <=50K\n39, State-gov,121838, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,265275, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n50, Private,71417, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K\n34, Private,45522, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Local-gov,250135, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,55, United-States, <=50K\n18, Private,120283, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K\n20, Private,216972, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n20, Private,116791, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K\n55, State-gov,26290, Assoc-voc,11, Widowed, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,38, United-States, <=50K\n22, Private,216134, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,143932, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,217120, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n47, State-gov,223944, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K\n23, Private,185452, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, Canada, <=50K\n57, Local-gov,44273, HS-grad,9, Widowed, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, Private,178983, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,219288, 7th-8th,4, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n25, Private,349190, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n49, Self-emp-inc,158685, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,2377,40, United-States, >50K\n41, Federal-gov,57924, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n40, State-gov,270324, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,30, United-States, <=50K\n38, Private,33001, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n58, Private,204021, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, Canada, <=50K\n26, Private,192506, Bachelors,13, Never-married, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n57, Private,372967, 10th,6, Divorced, Adm-clerical, Other-relative, White, Female,0,0,70, Germany, <=50K\n28, Private,273929, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1628,60, United-States, <=50K\n42, Private,195821, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,56179, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,2174,0,55, United-States, <=50K\n17, ?,127003, 9th,5, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,124090, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,199600, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n42, Private,255847, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,48, United-States, >50K\n51, Self-emp-not-inc,218311, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K\n27, Private,167336, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,39, United-States, <=50K\n41, Private,59938, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,43, United-States, <=50K\n28, Private,263728, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,278230, Some-college,10, Divorced, Farming-fishing, Unmarried, White, Female,10520,0,30, United-States, >50K\n73, ?,180603, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K\n49, Private,43910, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K\n47, Private,190139, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,109001, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,49, United-States, <=50K\n42, Local-gov,159931, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n32, Private,194987, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n32, Local-gov,87310, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,41, United-States, <=50K\n27, Private,133937, Masters,14, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,207064, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,36011, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n41, Federal-gov,168294, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,40, United-States, >50K\n49, Local-gov,194895, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7298,0,40, United-States, >50K\n58, Self-emp-not-inc,49884, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n41, Self-emp-not-inc,27305, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688,0,40, United-States, >50K\n26, Private,229977, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n21, Private,64520, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n32, ?,134886, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,2, United-States, >50K\n37, Private,305379, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,202284, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n42, Self-emp-not-inc,99185, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,159662, HS-grad,9, Married-civ-spouse, Sales, Own-child, White, Male,0,0,26, United-States, >50K\n67, Private,197865, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Local-gov,175149, HS-grad,9, Divorced, Transport-moving, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n49, Local-gov,349633, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n36, Private,135293, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,1506,0,45, ?, <=50K\n18, Private,242893, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n25, Private,218667, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n43, State-gov,144811, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n38, Private,146091, Doctorate,16, Married-civ-spouse, Exec-managerial, Wife, White, Female,99999,0,36, United-States, >50K\n21, Private,206861, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, ?, <=50K\n65, Self-emp-not-inc,226215, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K\n66, Private,114447, Assoc-voc,11, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n33, Private,124187, 11th,7, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,60, United-States, <=50K\n51, Private,147954, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,3411,0,38, United-States, <=50K\n27, Self-emp-inc,64379, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n17, Private,156501, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n32, Private,207668, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K\n61, ?,161279, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,36, United-States, <=50K\n38, Private,225707, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Cuba, >50K\n43, Local-gov,115603, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, State-gov,506329, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K\n63, Private,275034, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1740,35, United-States, <=50K\n76, ?,172637, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, >50K\n42, Private,56483, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Federal-gov,144778, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n76, Self-emp-not-inc,33213, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, ?, >50K\n41, Local-gov,297248, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,45, United-States, >50K\n17, Private,137042, 10th,6, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n30, Self-emp-not-inc,33308, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,158420, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, Iran, <=50K\n22, Private,41763, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K\n53, ?,220640, Bachelors,13, Divorced, ?, Other-relative, Other, Female,0,0,20, United-States, <=50K\n28, Private,149734, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,52, United-States, <=50K\n25, ?,262245, Assoc-voc,11, Never-married, ?, Own-child, White, Female,3418,0,40, United-States, <=50K\n24, Private,349691, Some-college,10, Never-married, Sales, Other-relative, Black, Female,0,0,40, United-States, <=50K\n47, Private,185385, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n34, Self-emp-not-inc,174463, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n26, Private,236068, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,20, United-States, <=50K\n63, ?,445168, Bachelors,13, Widowed, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,56, United-States, <=50K\n25, Private,91334, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, <=50K\n28, Private,33895, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n36, Private,214816, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,229773, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-inc,166386, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,35, Taiwan, <=50K\n44, Private,266135, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n18, Private,300379, 12th,8, Never-married, Adm-clerical, Own-child, White, Male,0,0,12, United-States, <=50K\n54, Federal-gov,392502, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n61, Private,73809, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,193720, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n43, Private,316183, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,162944, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,186888, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, >50K\n27, ?,330132, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n24, Private,192017, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K\n20, State-gov,161978, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n52, Private,202930, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n57, Local-gov,323309, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-inc,197332, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n42, Self-emp-inc,204033, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, ?, <=50K\n22, Private,271274, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,174242, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,209483, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n39, Federal-gov,99146, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,60, United-States, >50K\n52, Self-emp-not-inc,102346, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K\n25, Private,181666, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,207367, Some-college,10, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,40, Cuba, <=50K\n35, State-gov,82622, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K\n50, Private,202296, Assoc-voc,11, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n58, Private,142182, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K\n48, Federal-gov,94342, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n30, Private,41493, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, Canada, <=50K\n18, Private,181712, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n29, Self-emp-not-inc,164607, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,41496, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n63, Private,143098, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K\n36, Local-gov,196529, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n24, Private,157332, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,42, United-States, <=50K\n30, Local-gov,154935, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n23, Private,223231, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Mexico, <=50K\n35, ?,253860, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,20, United-States, <=50K\n21, Private,362589, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n28, Private,94880, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,43, Mexico, <=50K\n20, Private,309580, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,130389, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, Scotland, <=50K\n21, Private,349365, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n27, Private,376936, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,179557, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,105577, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n51, Private,224207, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n27, Federal-gov,47907, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Self-emp-not-inc,191283, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n57, Private,20953, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n22, State-gov,186569, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,12, United-States, <=50K\n59, Private,43221, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n38, Private,161141, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,203003, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K\n90, Private,141758, 9th,5, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,113322, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,343847, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, >50K\n45, Private,214068, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n44, Private,116632, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,240160, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,516337, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n23, Self-emp-inc,284651, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,43, United-States, <=50K\n39, State-gov,141420, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,42750, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, United-States, <=50K\n54, Private,165278, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,167265, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K\n44, Private,139907, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K\n31, Self-emp-inc,236415, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n25, Private,312966, 9th,5, Separated, Handlers-cleaners, Other-relative, White, Male,0,0,40, El-Salvador, <=50K\n33, Private,118941, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,32, United-States, >50K\n32, Private,198068, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n36, Private,373952, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,236111, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,55, United-States, >50K\n80, Private,157778, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,10, United-States, <=50K\n21, Private,143604, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K\n35, Self-emp-not-inc,319831, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n77, ?,132728, Masters,14, Divorced, ?, Not-in-family, White, Male,0,0,45, United-States, <=50K\n30, Private,137606, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5013,0,40, United-States, <=50K\n35, ?,61343, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,268234, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,100135, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1740,25, United-States, <=50K\n53, Self-emp-not-inc,34973, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n41, Private,323790, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,55, United-States, <=50K\n57, Private,319733, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Poland, >50K\n21, ?,180339, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n19, Private,125591, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Private,60772, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,45, United-States, <=50K\n42, Federal-gov,74680, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Male,0,2001,60, United-States, <=50K\n29, Self-emp-not-inc,141185, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n38, ?,204668, Assoc-voc,11, Separated, ?, Unmarried, White, Female,0,0,25, United-States, <=50K\n26, Private,273792, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n41, Private,70037, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,3004,60, ?, >50K\n40, Private,343068, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,177907, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n28, Private,144063, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n25, Self-emp-not-inc,257574, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n42, Self-emp-not-inc,67065, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n32, Private,183356, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,152940, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n37, Private,227128, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,45607, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, <=50K\n49, Private,155489, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, ?,230704, HS-grad,9, Never-married, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n24, ?,267955, 9th,5, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n19, Private,165115, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,49923, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,272240, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,255476, 7th-8th,4, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, Mexico, <=50K\n59, Private,194290, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, <=50K\n52, Private,145548, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,175262, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Local-gov,37306, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n58, Private,137547, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n53, Private,276515, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, Cuba, <=50K\n23, Private,174626, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n35, Private,215310, 11th,7, Divorced, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n49, Private,332355, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,204057, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,391591, 12th,8, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,169092, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, >50K\n28, Private,230743, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,190963, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K\n74, ?,204840, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,56, Mexico, <=50K\n19, Private,169853, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,24, United-States, <=50K\n28, Private,212091, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2580,0,40, United-States, <=50K\n31, Private,202822, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n61, ?,226989, Some-college,10, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,140011, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,53, United-States, <=50K\n20, ?,432376, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, Germany, <=50K\n35, Private,90273, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, >50K\n23, Private,224424, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,168943, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K\n19, Private,571853, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n30, Private,156464, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n26, Private,108542, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n34, Local-gov,194325, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n49, Private,114797, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n35, Private,40135, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2042,40, United-States, <=50K\n38, Private,204756, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,228190, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,20, United-States, <=50K\n33, Private,163392, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,48, United-States, >50K\n54, Private,138845, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Local-gov,169853, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Never-worked,206359, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n60, Private,224097, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,160786, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,190044, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n49, Local-gov,145290, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,120268, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,70, United-States, <=50K\n17, Private,327434, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n41, Self-emp-inc,218302, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n30, Private,1184622, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,35, United-States, <=50K\n90, Local-gov,227796, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,60, United-States, >50K\n25, Private,206343, HS-grad,9, Never-married, Protective-serv, Other-relative, White, Male,0,0,40, United-States, <=50K\n27, Private,36851, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n29, Private,148550, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,157079, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, ?, >50K\n31, Federal-gov,142470, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n43, Private,86750, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,99, United-States, <=50K\n63, Private,361631, Masters,14, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n46, Private,163229, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,179594, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,254773, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,50, United-States, >50K\n26, Private,58065, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n26, Private,205428, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n20, ?,41183, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n19, ?,308064, HS-grad,9, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n61, Private,173924, 9th,5, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Puerto-Rico, >50K\n23, State-gov,142547, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,119704, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n35, Private,275364, Bachelors,13, Divorced, Tech-support, Unmarried, White, Male,7430,0,40, Germany, >50K\n42, Self-emp-not-inc,207392, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,12, United-States, <=50K\n31, Private,147215, 12th,8, Divorced, Other-service, Unmarried, White, Female,0,0,21, United-States, <=50K\n31, Private,101562, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,55, United-States, <=50K\n63, Private,216413, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n29, State-gov,188986, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,1590,64, United-States, <=50K\n43, State-gov,52849, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,304710, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,10, Vietnam, <=50K\n17, Private,265657, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n23, Self-emp-not-inc,258298, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,2231,40, United-States, >50K\n35, Private,360814, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n32, Private,53260, HS-grad,9, Divorced, Other-service, Unmarried, Other, Female,0,0,28, United-States, <=50K\n50, Self-emp-inc,127315, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n25, Private,233777, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, ?, <=50K\n26, Local-gov,197530, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,340940, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,88432, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n57, Private,183810, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n90, Private,51744, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,50, United-States, >50K\n35, Private,175614, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K\n31, Self-emp-not-inc,235237, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, >50K\n60, Private,227266, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,33, United-States, <=50K\n21, Private,146499, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,1579,40, United-States, <=50K\n71, Local-gov,337064, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,141003, Assoc-voc,11, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n50, Local-gov,117791, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,172846, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n23, Private,73514, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n74, Private,211075, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n67, Private,197816, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1844,70, United-States, <=50K\n59, Private,43221, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, >50K\n28, Private,183780, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1740,40, United-States, <=50K\n45, Private,26781, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n63, Self-emp-not-inc,271550, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K\n39, Private,250157, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,63, United-States, <=50K\n33, State-gov,913447, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n32, Private,153078, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n34, Private,181091, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K\n39, Private,231491, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n29, State-gov,95423, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,36, United-States, <=50K\n22, Private,234663, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,283602, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,13550,0,43, United-States, >50K\n46, Private,328669, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K\n51, Private,143741, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K\n44, Private,83508, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,2354,0,99, United-States, <=50K\n56, State-gov,81954, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,261375, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n52, Private,310045, 9th,5, Married-spouse-absent, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0,0,30, China, <=50K\n39, Private,316211, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n45, Federal-gov,88564, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n37, Private,61299, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n33, Private,113364, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n35, ?,476573, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K\n46, Private,267107, 5th-6th,3, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,45, Italy, <=50K\n35, Private,48123, 12th,8, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,50, United-States, <=50K\n33, Private,214635, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, <=50K\n48, Private,115585, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,194141, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,50, United-States, <=50K\n18, ?,23233, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,89991, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K\n35, Private,101709, HS-grad,9, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,60, United-States, <=50K\n19, Private,237455, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,25, United-States, <=50K\n21, Private,206492, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, ?, <=50K\n56, Private,28729, 11th,7, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,153475, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, El-Salvador, <=50K\n45, Private,275517, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,128002, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,45, United-States, <=50K\n44, Private,175485, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,12, United-States, <=50K\n55, Private,189664, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,209808, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,176992, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,154669, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,55, United-States, <=50K\n25, Private,191271, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Private,375482, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,102953, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,55, United-States, >50K\n53, Private,169182, 10th,6, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Columbia, <=50K\n47, Private,184005, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,3325,0,45, United-States, <=50K\n49, Self-emp-inc,30751, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n22, Private,145477, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n31, Private,91964, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-inc,49249, Some-college,10, Divorced, Other-service, Unmarried, White, Male,0,0,80, United-States, <=50K\n19, Private,218956, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,241306, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, ?,251572, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,35, Poland, <=50K\n23, Private,319842, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n44, Private,332401, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,65, United-States, >50K\n54, Local-gov,182388, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K\n23, Private,205939, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K\n21, Private,203914, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n19, State-gov,156294, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,25, United-States, <=50K\n51, Private,254211, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, >50K\n41, Private,151504, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n61, Private,85548, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,18, United-States, >50K\n19, Self-emp-not-inc,30800, 10th,6, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n22, Private,131230, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,61850, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Private,227800, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,32, United-States, <=50K\n35, Private,133454, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K\n38, Private,104094, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,105422, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,142182, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n41, Private,336643, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,80, United-States, <=50K\n62, Self-emp-inc,200577, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,208703, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, Japan, <=50K\n55, ?,193895, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, England, <=50K\n25, Private,272428, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,4416,0,42, United-States, <=50K\n33, Private,56701, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,75, United-States, >50K\n26, Private,288592, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,266439, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n53, Federal-gov,276868, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,131435, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Private,175127, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K\n25, Private,277444, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n60, Private,63296, Masters,14, Divorced, Prof-specialty, Other-relative, Black, Male,0,0,40, United-States, <=50K\n28, Private,96337, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,221955, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, Mexico, <=50K\n40, Private,197923, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,2977,0,40, United-States, <=50K\n29, Private,632593, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n20, Private,205970, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,25, United-States, <=50K\n25, Private,139730, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,80, United-States, >50K\n18, Private,201901, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K\n32, State-gov,230224, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K\n27, Private,113464, 1st-4th,2, Never-married, Other-service, Own-child, Other, Male,0,0,35, Dominican-Republic, <=50K\n48, Private,94461, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,16, United-States, <=50K\n20, Private,271379, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n55, Private,231738, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, England, <=50K\n33, Local-gov,198183, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n21, State-gov,140764, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K\n43, Self-emp-not-inc,183479, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n35, Private,165767, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,139364, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n19, Private,227491, HS-grad,9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n25, Private,222254, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n44, Private,193494, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,72, United-States, >50K\n27, Private,29261, Assoc-acdm,12, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n39, Private,174368, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n69, Private,108196, 10th,6, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n34, Private,110622, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n20, ?,201680, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K\n37, Private,130277, 5th-6th,3, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Local-gov,98130, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Female,0,0,39, United-States, <=50K\n62, ?,235521, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,48, United-States, <=50K\n34, State-gov,595000, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, >50K\n31, Self-emp-not-inc,349148, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n42, State-gov,117583, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,8614,0,60, United-States, >50K\n26, Private,164583, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n39, Private,340091, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,75, United-States, <=50K\n25, Private,49092, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Local-gov,186884, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,30, United-States, <=50K\n44, State-gov,167265, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n34, State-gov,34104, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,38, United-States, >50K\n21, Self-emp-inc,265116, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,128378, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,55, ?, <=50K\n33, Private,158416, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-inc,169878, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n44, Private,296728, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n33, Local-gov,342458, Assoc-acdm,12, Divorced, Protective-serv, Not-in-family, White, Male,0,0,56, United-States, <=50K\n21, Local-gov,38771, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,269300, Bachelors,13, Never-married, Other-service, Not-in-family, Black, Female,0,0,60, United-States, <=50K\n43, Private,111483, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K\n57, ?,199114, 10th,6, Separated, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n51, Local-gov,33863, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n29, Private,132874, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,277024, HS-grad,9, Separated, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,112160, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,703067, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n58, Private,127264, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n57, Self-emp-inc,257200, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,57206, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n37, Private,201319, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,114079, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n45, Private,230979, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,292472, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K\n64, ?,286732, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Local-gov,134444, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, <=50K\n30, Private,172403, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n46, Private,191357, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,279288, 10th,6, Never-married, ?, Other-relative, White, Female,0,0,30, United-States, <=50K\n60, Private,389254, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,303867, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,44, United-States, <=50K\n47, Private,164113, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,7688,0,40, United-States, >50K\n39, Private,111499, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,266084, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,45, United-States, >50K\n27, Private,61580, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n44, Private,231348, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,164748, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,205337, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n58, Self-emp-not-inc,54566, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n45, Private,34419, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,30, United-States, <=50K\n59, Private,116442, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,290740, Assoc-acdm,12, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,50, United-States, <=50K\n27, Private,255582, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,112517, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, >50K\n44, Private,169397, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,172664, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n27, Private,329005, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,123253, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n55, Private,81865, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,173314, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,60, United-States, <=50K\n31, Private,34572, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n57, Self-emp-inc,159028, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K\n30, Private,149184, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n78, ?,363134, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,1, United-States, <=50K\n28, Private,308709, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K\n30, Self-emp-not-inc,257295, Some-college,10, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male,0,2258,40, South, <=50K\n29, Private,168479, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n66, Private,142501, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,3, United-States, <=50K\n60, Private,338345, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n31, Private,177675, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,262617, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,2597,0,40, United-States, <=50K\n24, Private,200997, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K\n29, Private,176683, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n44, Private,376072, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n34, Local-gov,177675, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n59, Private,348430, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,43, United-States, >50K\n23, Private,320451, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,24, United-States, <=50K\n23, Private,38151, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,40, Philippines, <=50K\n55, Local-gov,123382, Assoc-voc,11, Separated, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K\n39, Self-emp-inc,151029, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,484475, 11th,7, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n57, Private,329792, 7th-8th,4, Divorced, Transport-moving, Unmarried, White, Male,0,0,75, United-States, <=50K\n35, Private,148903, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Local-gov,301614, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, >50K\n47, Private,176319, HS-grad,9, Married-civ-spouse, Sales, Own-child, White, Female,0,0,38, United-States, >50K\n53, State-gov,53197, Doctorate,16, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,291407, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,25, United-States, <=50K\n35, Private,204527, Masters,14, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n44, Private,476391, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,224964, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n26, Private,306225, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Poland, <=50K\n23, Private,292023, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n32, Private,94041, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, Ireland, <=50K\n49, Self-emp-inc,187563, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n36, Private,176101, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,2174,0,60, United-States, <=50K\n36, Private,749105, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K\n41, ?,230020, 5th-6th,3, Married-civ-spouse, ?, Husband, Other, Male,0,0,40, United-States, <=50K\n21, Private,216070, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0,0,46, United-States, >50K\n54, Self-emp-not-inc,105010, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,198203, Some-college,10, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n35, Local-gov,215419, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,120460, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n46, Private,199316, Some-college,10, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n46, Private,146919, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Private,174744, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n45, ?,189564, Masters,14, Married-civ-spouse, ?, Wife, White, Female,0,0,1, United-States, <=50K\n21, Private,249957, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,146574, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n47, State-gov,156417, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Male,0,0,20, United-States, <=50K\n42, Private,236110, 5th-6th,3, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K\n19, Private,63363, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n25, Private,190107, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,126569, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,176756, 12th,8, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Private,115161, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n57, Self-emp-not-inc,138892, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K\n38, Private,256864, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n48, Private,265083, 10th,6, Divorced, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K\n34, Private,249948, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K\n46, Federal-gov,31141, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,164190, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, ?, <=50K\n45, State-gov,67544, Masters,14, Divorced, Protective-serv, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Self-emp-not-inc,174789, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n35, Private,199753, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K\n62, Private,122246, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,8614,0,39, United-States, >50K\n56, ?,188166, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,96586, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,189590, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,140590, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,33, United-States, <=50K\n35, Private,255702, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,27, United-States, <=50K\n33, Private,260782, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, >50K\n38, Private,169926, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,40, United-States, >50K\n37, State-gov,151322, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Private,192869, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,93604, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,1602,32, United-States, <=50K\n31, Private,86958, 9th,5, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n53, Local-gov,228723, HS-grad,9, Divorced, Craft-repair, Not-in-family, Other, Male,0,0,40, ?, >50K\n33, Private,192644, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,35, Puerto-Rico, <=50K\n72, Private,284080, 1st-4th,2, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n54, Private,43269, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n30, Private,190040, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,306108, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n30, Private,220148, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,50, United-States, >50K\n30, Private,381645, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Private,216361, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,16, United-States, <=50K\n30, Private,213722, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n35, Private,112271, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,208277, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,44, United-States, >50K\n38, State-gov,352628, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,129620, 10th,6, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K\n32, Private,249550, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,44, United-States, <=50K\n49, Private,178749, Masters,14, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n76, ?,173542, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K\n60, Private,167670, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n60, Private,81578, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,160662, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K\n41, Private,163322, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,30, ?, <=50K\n24, Private,152189, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,106176, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7298,0,60, United-States, >50K\n69, State-gov,159191, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,810,38, United-States, <=50K\n71, ?,250263, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,3432,0,30, United-States, <=50K\n41, Private,78410, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n32, Private,131379, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Private,166929, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,380357, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,79190, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n40, Private,342164, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K\n44, Private,182616, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n63, Private,339473, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n31, Local-gov,381153, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,15024,0,56, United-States, >50K\n51, Private,300816, Bachelors,13, Never-married, Adm-clerical, Unmarried, White, Male,0,0,20, United-States, <=50K\n51, Private,240988, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n23, Private,149224, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,168216, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n56, Private,286487, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2885,0,45, United-States, <=50K\n39, Private,305597, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Self-emp-not-inc,109766, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n30, Self-emp-not-inc,188798, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,240170, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, <=50K\n31, Private,459465, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n44, Local-gov,162506, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n43, Self-emp-not-inc,145441, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, >50K\n37, Federal-gov,129573, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,72, ?, >50K\n41, Private,27444, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,46, United-States, >50K\n43, Private,195258, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n47, State-gov,55272, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n38, Self-emp-not-inc,164526, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,2824,45, United-States, >50K\n46, Private,27802, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n19, State-gov,165289, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,274657, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,50, Guatemala, <=50K\n24, Private,317175, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n39, Self-emp-inc,163237, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K\n37, Private,170408, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,30, United-States, <=50K\n28, ?,55950, Bachelors,13, Never-married, ?, Own-child, Black, Female,0,0,40, Germany, <=50K\n40, Private,76625, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n27, Private,366066, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,349368, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n21, Private,286824, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n32, Private,373263, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n20, Private,161978, HS-grad,9, Separated, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,543922, Masters,14, Divorced, Transport-moving, Not-in-family, White, Male,14344,0,48, United-States, >50K\n46, Local-gov,109089, Prof-school,15, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,110151, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n26, Private,34110, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,44, United-States, <=50K\n47, Self-emp-not-inc,118506, Bachelors,13, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0,0,60, United-States, <=50K\n22, Private,117789, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K\n34, Self-emp-not-inc,353881, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n49, Private,200471, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K\n20, Private,258517, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n28, Private,190367, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n30, Private,174704, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n23, Private,179413, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,329530, 9th,5, Never-married, Priv-house-serv, Own-child, White, Male,0,0,40, Mexico, <=50K\n31, Private,273818, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, Mexico, <=50K\n46, Private,256522, 1st-4th,2, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Puerto-Rico, <=50K\n42, Private,196001, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,282660, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,72630, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n27, Private,50295, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n20, Private,203240, 9th,5, Never-married, Sales, Own-child, White, Female,0,0,32, United-States, <=50K\n56, Self-emp-not-inc,172618, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n41, Private,202168, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n61, Private,176839, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,176140, HS-grad,9, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, >50K\n60, Private,39952, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2228,0,37, United-States, <=50K\n33, Private,292465, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n40, ?,161285, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, <=50K\n48, Private,355320, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Canada, >50K\n56, Private,182460, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,69345, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,55, United-States, >50K\n57, Self-emp-not-inc,102058, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,165804, Some-college,10, Never-married, Adm-clerical, Own-child, Other, Female,0,0,40, United-States, <=50K\n46, Private,318259, Assoc-voc,11, Divorced, Tech-support, Other-relative, White, Female,0,0,36, United-States, <=50K\n21, Private,117606, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,170718, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,413297, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,190457, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n54, Private,88278, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n32, Local-gov,217296, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,4064,0,22, United-States, <=50K\n62, ?,97231, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,1, United-States, <=50K\n50, Private,123429, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n49, Federal-gov,420282, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, Private,498325, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,248533, Some-college,10, Never-married, Sales, Other-relative, Black, Female,0,0,40, United-States, <=50K\n46, Private,137354, Masters,14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n42, Private,272910, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, Self-emp-inc,206054, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, Local-gov,92141, Assoc-acdm,12, Widowed, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n37, Private,163199, Some-college,10, Divorced, Tech-support, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n34, Private,195860, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,115717, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,2051,40, United-States, <=50K\n18, Private,120029, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K\n33, Private,221762, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n41, Private,342164, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n21, Private,176356, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n23, Private,133239, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Federal-gov,169101, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n33, Private,159442, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n24, Private,174461, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,45, United-States, <=50K\n43, Private,361280, 10th,6, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,42, China, <=50K\n52, State-gov,447579, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, England, <=50K\n27, ?,308995, Some-college,10, Divorced, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n61, Private,248448, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,161141, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,212465, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n45, Self-emp-inc,170871, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n43, Local-gov,233865, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n51, Private,163052, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,348690, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n47, Federal-gov,34845, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, Germany, >50K\n22, Private,206861, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-inc,349230, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n20, Private,130840, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n19, Private,415354, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,132191, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,202466, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K\n27, ?,224421, Some-college,10, Divorced, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Self-emp-not-inc,236804, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,35, United-States, <=50K\n20, Private,107658, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,10, United-States, <=50K\n47, Private,102771, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,221403, 12th,8, Never-married, Other-service, Own-child, Black, Male,0,0,18, United-States, <=50K\n76, ?,211574, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,1, United-States, <=50K\n39, Private,52645, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,276310, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n31, Private,134613, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,43, United-States, <=50K\n44, Private,215479, HS-grad,9, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,20, Haiti, <=50K\n53, Private,266529, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,265807, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n45, Self-emp-not-inc,67716, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,178951, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,241126, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,176544, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K\n45, Private,169180, Some-college,10, Widowed, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K\n37, Self-emp-not-inc,282461, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n53, Private,157069, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,99357, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,50, United-States, >50K\n38, Self-emp-not-inc,414991, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,70, ?, <=50K\n65, Self-emp-inc,338316, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,59612, 10th,6, Divorced, Farming-fishing, Unmarried, White, Male,0,0,70, United-States, <=50K\n24, Private,220426, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,115912, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,27032, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K\n19, Private,170720, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n60, Private,183162, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,192360, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n78, ?,165694, Masters,14, Widowed, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K\n26, Private,128553, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K\n58, Private,209423, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,38, Cuba, <=50K\n37, Self-emp-not-inc,121510, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,55, United-States, <=50K\n41, Private,93793, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n30, Private,133602, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,391329, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n48, Private,96359, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Greece, >50K\n22, Private,203894, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Female,0,0,24, United-States, <=50K\n50, Private,196193, Masters,14, Married-spouse-absent, Prof-specialty, Other-relative, White, Male,0,0,60, ?, <=50K\n25, Private,195994, 1st-4th,2, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, Guatemala, <=50K\n18, Private,50879, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,6, United-States, <=50K\n21, Private,186849, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,201127, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,110998, HS-grad,9, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Female,0,0,36, United-States, <=50K\n39, Private,190466, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,2174,0,40, United-States, <=50K\n67, Self-emp-not-inc,173935, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,8, United-States, >50K\n19, Private,167140, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,1602,24, United-States, <=50K\n18, Private,110230, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,11, United-States, <=50K\n36, Private,287658, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n23, Private,224954, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,25, United-States, <=50K\n25, ?,394820, Some-college,10, Separated, ?, Unmarried, White, Female,0,0,20, United-States, <=50K\n40, Private,37618, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n73, Self-emp-not-inc,29306, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,37314, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n31, Private,420749, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,482732, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,206215, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,101364, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n66, Self-emp-inc,185369, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n66, Private,216856, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n64, Private,256019, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n48, Private,348144, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,3325,0,53, United-States, <=50K\n24, Private,190293, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,25932, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,176729, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n33, Private,166961, 11th,7, Separated, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n50, Private,86373, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n51, Private,320513, 7th-8th,4, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male,0,0,50, Dominican-Republic, <=50K\n34, State-gov,190290, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n41, Local-gov,111891, 7th-8th,4, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,45796, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,108496, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,2907,0,40, United-States, <=50K\n41, Self-emp-not-inc,120539, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K\n36, Self-emp-not-inc,164526, Masters,14, Never-married, Sales, Not-in-family, White, Male,10520,0,45, United-States, >50K\n37, Private,323155, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,85, Mexico, <=50K\n28, Private,65389, HS-grad,9, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K\n19, Private,414871, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,161607, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n62, Private,224953, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n36, Private,261382, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K\n58, Self-emp-not-inc,231818, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Greece, <=50K\n42, Self-emp-inc,184018, HS-grad,9, Divorced, Sales, Unmarried, White, Male,1151,0,50, United-States, <=50K\n43, Self-emp-inc,133060, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,35032, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, State-gov,304212, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n64, Local-gov,50442, 9th,5, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n39, Private,146091, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K\n26, Private,267431, Bachelors,13, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n19, Private,121240, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n21, Private,192572, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K\n32, Private,211028, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Local-gov,346122, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,5013,0,45, United-States, <=50K\n26, Private,202203, Bachelors,13, Never-married, Adm-clerical, Other-relative, White, Female,0,0,50, United-States, <=50K\n20, Private,159297, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K\n19, Private,310158, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K\n33, Federal-gov,193246, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,42, United-States, >50K\n23, Private,200089, Some-college,10, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, El-Salvador, <=50K\n29, Private,38353, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n42, Private,76280, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,243665, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n63, Private,68872, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K\n34, Private,103596, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,88055, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,24, United-States, <=50K\n48, Private,186203, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,257910, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n27, Private,200227, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,124975, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,27828,0,55, United-States, >50K\n32, Private,227669, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n22, Private,117210, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, Greece, <=50K\n25, Private,76144, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n18, Private,98667, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n24, Local-gov,155818, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,44, United-States, <=50K\n29, Private,283760, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n73, ?,281907, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,3, United-States, <=50K\n39, Private,186183, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n33, Self-emp-inc,202153, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,365683, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, >50K\n22, Private,187538, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, ?,209432, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,20, United-States, <=50K\n33, Private,126950, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n42, Private,110028, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,104660, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Male,0,0,45, United-States, <=50K\n57, Self-emp-not-inc,437281, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, >50K\n42, Private,259643, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n22, Private,217961, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,1719,30, United-States, <=50K\n21, ?,134746, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n42, Self-emp-not-inc,120539, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n39, Private,25803, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n41, Private,63596, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,32, United-States, >50K\n20, Local-gov,325493, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n47, Private,211239, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,206686, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,427965, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n52, Private,218550, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,14084,0,16, United-States, >50K\n71, Private,163385, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,35, United-States, >50K\n52, Private,124993, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,55, United-States, <=50K\n36, Private,107410, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,152373, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, >50K\n37, Private,161226, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, >50K\n26, Private,213799, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,204461, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n35, Private,377798, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n20, Private,116375, 9th,5, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Local-gov,210164, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n56, Self-emp-not-inc,258752, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n39, Private,327435, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, >50K\n24, Private,301199, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,20, United-States, <=50K\n24, Private,186221, 11th,7, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n23, Private,203924, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n27, Private,192236, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n25, Private,152035, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,201454, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,156580, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,37, United-States, >50K\n51, Private,115851, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,106753, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n59, Private,359292, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n29, Private,83003, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n18, Private,78817, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n24, Private,200967, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,36, United-States, <=50K\n38, State-gov,107164, Some-college,10, Separated, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,189674, HS-grad,9, Never-married, Priv-house-serv, Unmarried, Black, Female,0,0,28, ?, <=50K\n34, Self-emp-not-inc,90614, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n42, Self-emp-not-inc,323790, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,70, United-States, >50K\n45, Self-emp-not-inc,242552, 12th,8, Divorced, Craft-repair, Other-relative, Black, Male,0,0,35, United-States, <=50K\n21, Private,90935, Assoc-voc,11, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n64, Self-emp-inc,165667, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,60, Canada, >50K\n32, Private,162604, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,40, United-States, <=50K\n45, Private,205424, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n53, Private,97411, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K\n42, Private,184857, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,16, United-States, <=50K\n32, Private,165226, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Private,115784, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,368476, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,24, Mexico, <=50K\n28, Private,53063, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n29, ?,134566, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n32, Private,153471, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,35, United-States, <=50K\n37, Self-emp-inc,107164, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,0,2559,50, United-States, >50K\n38, Private,180303, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, Japan, >50K\n44, Local-gov,236321, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,25, United-States, <=50K\n19, Private,141868, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n22, ?,367655, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,203518, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Private,119558, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n56, Private,108276, Bachelors,13, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,385452, 10th,6, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,162003, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,349028, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,45114, Bachelors,13, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n44, Private,112797, 9th,5, Divorced, Other-service, Own-child, White, Female,0,0,50, United-States, <=50K\n28, Private,183639, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n35, Private,177121, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n38, Private,239755, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,150361, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,293091, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K\n24, Private,200089, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, Mexico, >50K\n40, Private,91836, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n23, Private,324960, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n79, Local-gov,84616, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,7, United-States, <=50K\n44, Private,252930, 10th,6, Divorced, Adm-clerical, Unmarried, Other, Female,0,0,42, United-States, <=50K\n51, Private,44000, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999,0,50, United-States, >50K\n30, Private,154843, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,99307, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,3103,0,48, United-States, >50K\n41, Private,182567, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K\n33, Private,93206, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n50, Private,100109, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, United-States, >50K\n51, Private,114927, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, United-States, >50K\n41, Private,121287, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,189916, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, >50K\n34, Private,157747, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n28, Private,39232, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n31, Self-emp-inc,133861, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,505980, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n67, ?,183374, HS-grad,9, Widowed, ?, Not-in-family, White, Female,2329,0,15, United-States, <=50K\n65, Private,193216, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,9386,0,40, United-States, >50K\n39, Self-emp-not-inc,140752, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,549349, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,179008, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n57, Self-emp-not-inc,190554, 10th,6, Divorced, Exec-managerial, Own-child, White, Male,0,0,60, United-States, >50K\n47, Private,80924, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n51, Local-gov,319054, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,60, United-States, <=50K\n34, Private,297094, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n52, Private,170562, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n29, Private,240738, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,297544, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Local-gov,169905, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,149637, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,182526, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,158315, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n61, Self-emp-inc,227232, Bachelors,13, Separated, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n34, Private,96483, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,8614,0,60, United-States, >50K\n41, Private,286970, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n27, Local-gov,223529, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Male,0,0,43, United-States, <=50K\n78, Self-emp-not-inc,316261, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,99999,0,20, United-States, >50K\n40, Private,170214, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n26, Self-emp-not-inc,224361, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,75, United-States, <=50K\n43, Private,124919, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,60, Japan, <=50K\n55, ?,103654, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n25, Private,306352, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Mexico, <=50K\n26, Self-emp-not-inc,227858, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,48, United-States, <=50K\n43, Self-emp-inc,150533, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, >50K\n25, Private,144478, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, Poland, <=50K\n22, Private,254547, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,30, Jamaica, <=50K\n52, Self-emp-not-inc,313243, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n61, Private,149981, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,2414,0,5, United-States, <=50K\n42, Private,125461, Bachelors,13, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n21, Private,306967, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,192976, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n65, Private,192133, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2290,0,40, Greece, <=50K\n56, ?,131608, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,10, United-States, <=50K\n33, Federal-gov,339388, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n22, Private,203240, 10th,6, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,83827, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,24, United-States, <=50K\n45, Self-emp-inc,160440, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K\n42, Private,108502, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,42, United-States, <=50K\n37, Private,410913, HS-grad,9, Married-spouse-absent, Farming-fishing, Unmarried, Other, Male,0,0,40, Mexico, <=50K\n56, Private,193818, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, ?,163582, 10th,6, Divorced, ?, Unmarried, White, Female,0,0,16, ?, <=50K\n40, Private,103789, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,32, United-States, <=50K\n31, Private,34572, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n26, Private,43408, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n26, State-gov,105787, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-inc,90693, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n45, Self-emp-not-inc,285575, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n47, Local-gov,56482, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7688,0,50, United-States, >50K\n22, Private,496025, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n33, Private,382764, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,259284, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n48, Self-emp-not-inc,185385, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,98, United-States, <=50K\n57, Self-emp-not-inc,286836, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,8, United-States, <=50K\n47, Private,139145, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n58, Local-gov,44246, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,169611, 11th,7, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Private,133403, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n29, Private,187327, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,180032, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,46561, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n23, Private,86065, 12th,8, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n46, Self-emp-not-inc,256014, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n30, Private,188403, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,396758, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,70, United-States, >50K\n25, Private,60485, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n32, Private,271276, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, >50K\n56, Private,229525, 9th,5, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Private,34574, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,43, United-States, <=50K\n19, State-gov,112432, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K\n20, Private,105312, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,18, United-States, <=50K\n34, Private,221396, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,304872, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,319733, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,176012, 9th,5, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,23, United-States, <=50K\n31, Private,213750, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n30, Private,248384, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,351187, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n51, Private,138179, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,1876,40, United-States, <=50K\n59, Private,50223, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,117477, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,36, United-States, <=50K\n40, Private,194360, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,118108, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n25, Local-gov,90730, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K\n18, Self-emp-inc,38307, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,30, United-States, <=50K\n41, Private,116391, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,210496, 10th,6, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,168475, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,174386, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K\n39, Private,166744, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K\n19, Private,375114, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,373469, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,339667, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,41, United-States, <=50K\n39, Private,91711, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,82049, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,236242, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n57, Self-emp-inc,140319, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n33, Local-gov,34080, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,204816, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n60, Private,187124, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,72310, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K\n58, Private,175127, 12th,8, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K\n48, Federal-gov,205707, Masters,14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,10520,0,50, United-States, >50K\n45, Local-gov,236586, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,55, United-States, >50K\n18, Private,71792, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n56, Private,87584, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-inc,136878, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n40, Private,287983, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,2258,48, Philippines, <=50K\n38, Private,110607, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K\n58, Private,109015, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,235071, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,50, United-States, <=50K\n63, Private,88653, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K\n51, Private,332243, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n22, ?,291547, 5th-6th,3, Married-civ-spouse, ?, Wife, Other, Female,0,0,40, Mexico, <=50K\n44, Private,45093, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n46, Federal-gov,161337, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n64, State-gov,211222, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,295117, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, England, >50K\n31, Private,206541, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,238415, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n21, Private,29810, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n30, Private,108023, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,114324, Assoc-voc,11, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n54, Private,172281, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2051,50, United-States, <=50K\n59, Local-gov,197290, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n28, Local-gov,191177, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K\n57, Private,562558, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,79531, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n53, Self-emp-inc,157881, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n58, Self-emp-not-inc,204816, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n19, Private,185695, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n39, Self-emp-inc,167482, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n31, Self-emp-inc,83748, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,70, South, <=50K\n27, Private,39232, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,236827, 9th,5, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,154410, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,135308, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n33, Private,204042, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K\n20, Private,308239, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n55, Private,183884, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n39, Private,98948, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,141642, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,162623, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Self-emp-inc,186934, Bachelors,13, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,179512, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n25, Private,391192, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,24, United-States, <=50K\n31, Private,87054, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n51, Private,30008, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n24, Private,113466, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n70, Private,642830, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Female,0,0,32, United-States, <=50K\n23, Private,182117, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n61, Private,162432, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,242184, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n47, Private,170850, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,4064,0,60, United-States, <=50K\n56, Private,435022, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n79, Private,120707, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,35, El-Salvador, >50K\n20, Private,170800, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n30, Private,268575, HS-grad,9, Never-married, Craft-repair, Unmarried, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n27, Private,269354, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, ?, <=50K\n40, Private,224232, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n60, ?,153072, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,5, United-States, <=50K\n58, Private,177368, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n71, Self-emp-not-inc,163293, Prof-school,15, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,2, United-States, <=50K\n50, Private,178530, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n29, Local-gov,183523, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, Iran, <=50K\n33, Private,207267, 10th,6, Separated, Other-service, Unmarried, White, Female,3418,0,35, United-States, <=50K\n60, State-gov,27037, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K\n33, Private,176711, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n43, Private,163215, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, ?, >50K\n33, Private,394727, 10th,6, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K\n33, Private,195488, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,52, United-States, <=50K\n32, State-gov,443546, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, <=50K\n21, Private,121023, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,9, United-States, <=50K\n38, Private,51838, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n38, Private,258888, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n39, State-gov,189385, Some-college,10, Separated, Exec-managerial, Unmarried, Black, Female,0,0,30, United-States, <=50K\n17, Private,198146, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n21, Private,337766, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,210525, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, >50K\n42, Private,185602, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n36, Private,173804, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,251243, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n37, Self-emp-not-inc,415847, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,119793, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,181705, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,182360, HS-grad,9, Separated, Prof-specialty, Unmarried, Other, Female,0,0,60, Puerto-Rico, <=50K\n49, Private,61885, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,146520, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,323790, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,146268, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Federal-gov,287031, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,8614,0,40, United-States, >50K\n33, Local-gov,292217, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, Private,88126, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,143046, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,401623, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, Jamaica, >50K\n36, Self-emp-not-inc,283122, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1902,60, United-States, >50K\n84, Self-emp-not-inc,155057, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K\n23, Private,260254, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,152292, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n55, Self-emp-inc,138594, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K\n30, Self-emp-not-inc,523095, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n46, Private,175262, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n55, Private,323706, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K\n34, Private,316470, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,163815, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n27, Private,72208, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n52, Local-gov,74784, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n36, Private,383518, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,99999,0,40, United-States, >50K\n25, Self-emp-not-inc,266668, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Private,347519, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n24, Private,336088, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,50, United-States, <=50K\n36, Private,190350, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n31, Private,204052, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n66, ?,31362, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n90, Self-emp-not-inc,155981, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,10566,0,50, United-States, <=50K\n67, Private,195161, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,60, United-States, >50K\n22, Self-emp-inc,269583, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,2580,0,40, United-States, <=50K\n47, Private,26994, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n32, Private,116539, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,55, United-States, >50K\n55, Self-emp-not-inc,189933, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,101283, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,35, United-States, <=50K\n48, Private,113598, Some-college,10, Separated, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K\n21, Private,188793, HS-grad,9, Married-civ-spouse, Sales, Husband, Other, Male,0,0,35, United-States, <=50K\n33, Private,109996, Assoc-acdm,12, Married-spouse-absent, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,195681, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,48, ?, <=50K\n47, Private,436770, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,84253, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n44, Self-emp-inc,383493, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,216867, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,37, Mexico, <=50K\n18, Private,401051, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n56, Private,83196, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,325596, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K\n43, Private,187322, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,193949, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,60, United-States, <=50K\n26, Private,133373, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,42, United-States, <=50K\n42, Private,113324, HS-grad,9, Widowed, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n23, Private,178818, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Self-emp-not-inc,152810, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,335997, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,55, United-States, >50K\n40, Private,436493, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n27, Private,704108, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n24, Local-gov,150084, Some-college,10, Separated, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, <=50K\n42, Private,341204, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Female,0,0,40, United-States, <=50K\n41, Private,187336, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,204209, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K\n42, Self-emp-not-inc,206066, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, <=50K\n38, Private,63509, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n63, Self-emp-not-inc,391121, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n31, Private,56026, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Self-emp-not-inc,60981, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,4, United-States, <=50K\n21, Private,228255, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n24, Private,86745, Bachelors,13, Married-civ-spouse, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n55, Private,234327, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,59948, 9th,5, Never-married, Adm-clerical, Unmarried, Black, Female,114,0,20, United-States, <=50K\n31, Private,137814, Some-college,10, Divorced, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n23, Private,167692, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n35, Private,245090, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n51, Self-emp-not-inc,256963, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n19, Private,160033, Some-college,10, Never-married, Protective-serv, Own-child, White, Female,0,0,30, United-States, <=50K\n38, Local-gov,289430, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,56, United-States, <=50K\n52, Local-gov,305053, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, United-States, <=50K\n70, Self-emp-not-inc,172370, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K\n53, Private,320510, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Private,171355, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,65027, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,43, United-States, <=50K\n18, Private,215190, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n41, ?,149385, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n19, ?,169324, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,10, United-States, <=50K\n24, Private,138938, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,557082, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n32, Private,273287, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K\n34, Self-emp-not-inc,77209, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,60, United-States, >50K\n35, Private,317153, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,95469, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,45, United-States, >50K\n18, Private,302859, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n37, Private,333651, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,42, United-States, <=50K\n30, Private,177596, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K\n40, Self-emp-inc,157240, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,30, Iran, >50K\n22, Private,184779, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Local-gov,138358, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,28, United-States, <=50K\n70, Private,176285, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,23, United-States, <=50K\n43, Private,102180, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n77, Self-emp-not-inc,209507, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,229741, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,324546, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,39, United-States, <=50K\n51, Private,337195, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,50, United-States, >50K\n58, State-gov,194068, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n22, Private,250647, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,12, United-States, <=50K\n33, Private,477106, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,104329, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,224566, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n32, Private,169841, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,55, United-States, <=50K\n41, Private,42563, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,25, United-States, >50K\n37, Private,31368, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,132755, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n50, Private,279129, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n31, ?,86143, HS-grad,9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n54, State-gov,44172, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K\n23, State-gov,93076, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n40, Private,146653, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n29, Private,221366, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,40, Germany, <=50K\n38, Private,189404, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,35, ?, <=50K\n30, Private,172304, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n20, Private,116666, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,8, India, <=50K\n43, Self-emp-not-inc,64112, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,55718, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,25, United-States, <=50K\n39, Private,126675, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n48, Private,102112, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n41, Self-emp-not-inc,226505, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,211527, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n20, Private,175069, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, Yugoslavia, <=50K\n25, Private,25249, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Private,73411, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,207185, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, Puerto-Rico, >50K\n66, Private,127139, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,41809, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,297449, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,14084,0,40, United-States, >50K\n46, Private,141483, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n42, Local-gov,117227, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K\n46, Private,377401, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,70, Canada, >50K\n34, Local-gov,167063, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,253759, Some-college,10, Married-civ-spouse, Tech-support, Wife, Black, Female,0,0,40, United-States, <=50K\n42, Private,183096, Some-college,10, Divorced, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,269654, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K\n70, ?,293076, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n32, Private,34104, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n46, Federal-gov,80057, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Germany, >50K\n42, Self-emp-inc,369781, 7th-8th,4, Divorced, Craft-repair, Unmarried, White, Male,0,0,25, United-States, <=50K\n21, Private,223811, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,163053, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,189461, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,55, United-States, <=50K\n50, Local-gov,145166, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n37, Private,86310, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n19, ?,263224, 11th,7, Never-married, ?, Unmarried, White, Female,0,0,30, United-States, <=50K\n44, Federal-gov,280362, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,301031, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n30, Private,74966, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,24, United-States, <=50K\n36, Private,254493, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n49, Self-emp-not-inc,204241, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n29, Private,225024, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Local-gov,148222, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n75, State-gov,113868, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,20, United-States, >50K\n42, Private,132633, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, ?, <=50K\n37, Private,44780, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,86373, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,25, United-States, <=50K\n61, Local-gov,176753, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, <=50K\n33, Private,164707, Assoc-acdm,12, Never-married, Exec-managerial, Unmarried, White, Female,2174,0,55, ?, <=50K\n50, Local-gov,370733, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n59, Private,216851, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,137951, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n22, Private,185279, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K\n56, Private,159724, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,103233, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n35, Private,63509, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n57, Private,174353, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,168109, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024,0,50, United-States, >50K\n27, Private,159724, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,105010, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2051,20, United-States, <=50K\n30, Private,179112, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Male,0,0,40, ?, <=50K\n46, Private,364913, 11th,7, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n48, Self-emp-inc,155664, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n61, Private,230568, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K\n33, Private,86492, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,87, United-States, <=50K\n40, Private,71305, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,189933, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n46, Self-emp-inc,191978, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2392,50, United-States, >50K\n35, Private,38948, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n51, Self-emp-inc,139127, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n37, Private,301568, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n64, Private,149044, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,2057,60, China, <=50K\n41, Private,197344, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,54, United-States, <=50K\n18, Private,32244, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,594,0,30, United-States, <=50K\n44, Self-emp-not-inc,315406, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,88, United-States, <=50K\n41, State-gov,47170, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Amer-Indian-Eskimo, Female,0,0,48, United-States, >50K\n33, State-gov,208785, Some-college,10, Separated, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K\n37, Private,196338, 9th,5, Separated, Priv-house-serv, Unmarried, White, Female,0,0,16, Mexico, <=50K\n34, Private,269243, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Federal-gov,215115, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, ?, <=50K\n20, Private,117767, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,176101, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,138283, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Self-emp-not-inc,132320, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,45, United-States, <=50K\n22, Federal-gov,471452, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,8, United-States, <=50K\n55, Private,147653, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,73, United-States, <=50K\n20, Private,49179, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n26, Private,174921, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Self-emp-inc,95997, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,70, United-States, <=50K\n40, Private,247245, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,67072, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n54, ?,95329, Some-college,10, Divorced, ?, Own-child, White, Male,0,0,50, United-States, <=50K\n24, Private,107882, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,241825, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,46, United-States, <=50K\n18, Private,79443, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K\n49, Self-emp-not-inc,233059, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n17, Private,226980, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,17, United-States, <=50K\n34, Self-emp-not-inc,181087, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n37, Private,305597, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n49, Federal-gov,311671, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n74, Private,129879, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,15831,0,40, United-States, >50K\n37, Private,83375, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,115824, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1573,40, United-States, <=50K\n40, Private,141657, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, >50K\n34, Private,50276, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,27828,0,40, United-States, >50K\n30, Private,177216, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,1740,40, Haiti, <=50K\n44, Private,228057, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, Puerto-Rico, <=50K\n40, Private,222848, 10th,6, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,32, United-States, <=50K\n58, Private,121111, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, Greece, <=50K\n44, Private,298885, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,149909, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, >50K\n39, Private,387430, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,18, United-States, <=50K\n19, Private,121972, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n41, Private,280167, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,70, United-States, >50K\n29, State-gov,191355, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Federal-gov,112115, Some-college,10, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n38, ?,104094, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K\n27, Private,211032, Preschool,1, Married-civ-spouse, Farming-fishing, Other-relative, White, Male,41310,0,24, Mexico, <=50K\n54, Private,199307, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,48, United-States, <=50K\n40, Private,205175, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,37, United-States, <=50K\n19, Private,257750, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,25, United-States, <=50K\n17, Private,191260, 11th,7, Never-married, Other-service, Own-child, White, Male,594,0,10, United-States, <=50K\n33, Private,342730, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, <=50K\n80, Private,249983, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n24, Self-emp-not-inc,161508, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n28, Private,338376, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,334308, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K\n21, Private,133471, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,129177, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n19, Private,178811, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n42, Private,178537, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n60, Self-emp-not-inc,235535, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n20, ?,298155, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n51, Private,145114, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,194096, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n37, State-gov,191779, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,159732, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,52, United-States, <=50K\n42, Federal-gov,170230, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,14084,0,60, United-States, >50K\n40, Private,104719, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,163083, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,403552, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,32, United-States, <=50K\n62, Private,218009, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1977,60, United-States, >50K\n47, Private,179313, 10th,6, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n26, Private,51961, 12th,8, Never-married, Sales, Other-relative, Black, Male,0,0,51, United-States, <=50K\n59, Private,426001, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,20, Puerto-Rico, <=50K\n70, Local-gov,176493, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,17, United-States, <=50K\n26, Private,124068, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n47, Private,108510, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K\n25, Private,181528, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K\n52, Self-emp-inc,173754, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K\n46, Private,169699, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n67, Private,126849, 10th,6, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,20, United-States, <=50K\n34, Private,204470, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n53, State-gov,116367, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,4650,0,40, United-States, <=50K\n22, Private,117363, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n39, Local-gov,106297, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Male,0,0,42, United-States, <=50K\n54, Self-emp-not-inc,108933, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n24, Private,190143, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,246677, HS-grad,9, Separated, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K\n38, Private,175360, 10th,6, Never-married, Prof-specialty, Not-in-family, White, Male,0,2559,90, United-States, >50K\n41, Local-gov,210259, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n36, Private,166304, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,33, United-States, <=50K\n43, Private,303051, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n39, Private,49308, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,192262, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K\n49, Local-gov,192349, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,4650,0,40, United-States, <=50K\n37, Self-emp-not-inc,48063, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n43, Private,170214, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n54, Federal-gov,51048, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n53, Self-emp-inc,246562, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, >50K\n57, Local-gov,215175, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n28, Private,114967, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,464536, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,451996, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,138852, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, State-gov,353012, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-inc,321822, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,75, United-States, >50K\n50, Self-emp-not-inc,324506, HS-grad,9, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,48, South, <=50K\n36, Private,162256, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Local-gov,356689, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,260199, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n36, Private,103605, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,316211, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,308691, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n39, Private,194404, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n18, Private,334427, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,36, United-States, <=50K\n33, Private,213226, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n35, Private,342824, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,1151,0,40, United-States, <=50K\n23, Private,33105, Some-college,10, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n37, Private,147638, Bachelors,13, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,36, Philippines, <=50K\n25, Private,315643, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n51, Federal-gov,106257, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, <=50K\n35, Private,342768, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,108960, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n66, ?,168071, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n32, Private,136935, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,13, United-States, <=50K\n37, Self-emp-not-inc,188774, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,0,55, United-States, >50K\n29, Private,280344, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,202496, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,37, United-States, <=50K\n61, Self-emp-inc,134768, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,175686, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,194748, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,0,0,49, United-States, <=50K\n49, Private,61307, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,38, United-States, <=50K\n51, Self-emp-not-inc,165001, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,25236,0,50, United-States, >50K\n34, Private,325658, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n28, ?,201844, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K\n20, Private,505980, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,185336, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,37, United-States, <=50K\n49, Self-emp-inc,362795, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,99999,0,80, Mexico, >50K\n26, Private,126829, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n63, Private,264600, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n36, Private,82743, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, White, Male,0,0,55, Iran, <=50K\n63, Self-emp-not-inc,125178, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,128487, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,10, United-States, <=50K\n40, Private,321758, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,128220, 7th-8th,4, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n49, Private,176814, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Canada, <=50K\n35, Private,188069, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,13550,0,55, ?, >50K\n23, State-gov,156423, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n25, Private,169905, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,27828,0,40, United-States, >50K\n34, ?,157289, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,176972, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n44, Self-emp-not-inc,171424, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,2205,35, United-States, <=50K\n33, Private,91811, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,203924, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,2597,0,45, United-States, <=50K\n55, Private,177484, 11th,7, Married-civ-spouse, Other-service, Husband, Black, Male,0,1672,40, United-States, <=50K\n17, ?,454614, 11th,7, Never-married, ?, Own-child, White, Female,0,0,8, United-States, <=50K\n75, Self-emp-not-inc,242108, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,2346,0,15, United-States, <=50K\n61, Private,132972, 9th,5, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n53, Private,157947, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Local-gov,177482, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K\n48, Private,246891, Some-college,10, Widowed, Sales, Unmarried, White, Male,0,0,50, United-States, >50K\n28, State-gov,158834, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n30, ?,203834, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,50, Taiwan, <=50K\n29, Private,110442, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,240676, Some-college,10, Divorced, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Private,192939, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,260696, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,55, United-States, <=50K\n40, Local-gov,55363, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,144949, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n55, Private,116878, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,30, United-States, >50K\n31, Local-gov,357954, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,20, United-States, <=50K\n21, ?,170038, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,190290, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Italy, <=50K\n26, State-gov,203279, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,2463,0,50, India, <=50K\n26, Private,167761, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n44, Private,138845, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,144844, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,52, United-States, >50K\n21, ?,161930, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,1504,30, United-States, <=50K\n26, Private,55743, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,30, United-States, <=50K\n40, Self-emp-not-inc,117721, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n19, Self-emp-not-inc,116385, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Private,301867, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,238913, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n28, Self-emp-not-inc,123983, Some-college,10, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Male,0,0,63, South, <=50K\n26, Private,165510, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n64, Private,183513, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n42, Self-emp-inc,119281, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n41, Private,152629, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,110171, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,211440, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n41, Local-gov,359259, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,125796, 11th,7, Separated, Other-service, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K\n34, Private,39609, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,111567, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,45, Germany, >50K\n23, Private,44064, Some-college,10, Separated, Other-service, Not-in-family, White, Male,0,2559,40, United-States, >50K\n35, Self-emp-not-inc,120066, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n41, Private,132633, 11th,7, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,25, Guatemala, <=50K\n39, Private,192702, Masters,14, Never-married, Craft-repair, Not-in-family, White, Female,0,0,50, United-States, <=50K\n41, Private,166813, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n33, Self-emp-inc,40444, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,290504, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n25, Private,178505, Some-college,10, Never-married, Exec-managerial, Other-relative, White, Female,0,1504,45, United-States, <=50K\n25, Private,175370, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n77, Self-emp-not-inc,72931, 7th-8th,4, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,20, Italy, >50K\n33, ?,234542, Assoc-voc,11, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n66, Private,284021, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,277974, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n44, Private,111275, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K\n45, Self-emp-inc,191776, Masters,14, Divorced, Sales, Unmarried, White, Female,25236,0,42, United-States, >50K\n28, Private,125527, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n19, Private,38294, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,2597,0,40, United-States, <=50K\n43, Private,313022, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,4386,0,40, United-States, >50K\n39, Private,179668, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,40, United-States, >50K\n33, Private,198660, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n44, Private,216116, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K\n62, Private,200922, 7th-8th,4, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,153372, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n41, Private,406603, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,6, Iran, <=50K\n23, Local-gov,248344, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n48, Private,240629, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, >50K\n38, Private,314310, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n37, Private,259785, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n45, Private,127111, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n29, Private,178272, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n66, Local-gov,75134, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,25, United-States, <=50K\n19, Private,195985, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n23, Private,221955, 9th,5, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,39, Mexico, <=50K\n34, Private,177675, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,182828, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n33, Self-emp-not-inc,270889, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n43, Private,183096, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,10, United-States, <=50K\n27, Private,336951, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, <=50K\n33, State-gov,295589, Some-college,10, Separated, Adm-clerical, Own-child, Black, Male,0,0,35, United-States, <=50K\n26, Private,289980, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, Mexico, <=50K\n56, Self-emp-inc,70720, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,27828,0,60, United-States, >50K\n46, Private,163352, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,36, United-States, <=50K\n38, Private,190776, Assoc-acdm,12, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n90, Private,313986, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n72, Self-emp-inc,473748, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, >50K\n20, Private,163003, HS-grad,9, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K\n29, Private,183061, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K\n49, Private,123584, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,75, United-States, <=50K\n23, Private,120910, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n20, Private,227554, Some-college,10, Married-spouse-absent, Sales, Own-child, Black, Female,0,0,18, United-States, <=50K\n57, Private,182677, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,4508,0,40, South, <=50K\n46, Private,214955, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,209768, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,258120, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,55, Jamaica, <=50K\n49, Private,110015, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Greece, <=50K\n54, Private,152652, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n46, Federal-gov,43206, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,50, United-States, >50K\n31, Self-emp-not-inc,114639, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n43, Self-emp-inc,221172, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K\n18, ?,128538, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,6, United-States, <=50K\n19, Private,131615, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,353824, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,178417, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Private,178644, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,271665, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n37, ?,223732, Some-college,10, Separated, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n21, Federal-gov,169003, 12th,8, Never-married, Adm-clerical, Own-child, Black, Male,0,0,25, United-States, <=50K\n52, State-gov,338816, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,70, United-States, >50K\n34, Private,506858, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, >50K\n28, Private,265628, Assoc-voc,11, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,173495, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,177413, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,31670, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K\n49, Private,154451, 11th,7, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,35, United-States, <=50K\n35, Private,265535, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,50, Jamaica, >50K\n31, Private,118941, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n18, Private,214617, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n47, Local-gov,265097, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,4386,0,40, United-States, >50K\n46, Private,276087, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,5013,0,50, United-States, <=50K\n43, Private,124692, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n51, Federal-gov,306784, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, United-States, >50K\n21, Private,434102, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, ?,387641, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n31, State-gov,181824, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,35, United-States, >50K\n39, Local-gov,177907, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,40, United-States, >50K\n58, Private,87329, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K\n36, Private,263130, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,262882, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n31, Private,37546, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,35, United-States, >50K\n19, Private,27433, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,393945, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,36, United-States, <=50K\n26, Private,173927, Assoc-voc,11, Never-married, Prof-specialty, Own-child, Other, Female,0,0,60, Jamaica, <=50K\n38, Private,343403, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, <=50K\n36, Private,111128, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n40, Private,193882, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,310864, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, ?, <=50K\n41, Private,128354, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,25, United-States, >50K\n33, Private,113364, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n63, ?,198559, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K\n51, Private,136913, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,115488, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,154227, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,279667, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n30, Self-emp-not-inc,281030, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,66, United-States, <=50K\n19, Private,283945, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K\n47, Private,454989, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n26, Private,391349, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, State-gov,166704, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,14, United-States, <=50K\n36, Private,151835, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, >50K\n60, Private,199085, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,61487, HS-grad,9, Never-married, Prof-specialty, Unmarried, Black, Male,0,0,40, United-States, <=50K\n19, Private,120251, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,14, United-States, <=50K\n42, Private,273230, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,90, United-States, <=50K\n36, Private,358373, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Female,0,0,36, United-States, <=50K\n35, Private,267891, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,38, United-States, <=50K\n22, Private,234880, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n54, Private,48358, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,96452, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n55, Private,204751, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n57, Private,375868, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,413373, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,36, United-States, <=50K\n24, Private,537222, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n35, Local-gov,33975, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n51, Self-emp-inc,162327, 11th,7, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,182691, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Male,0,0,44, United-States, <=50K\n36, Private,300829, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,42, United-States, <=50K\n51, Local-gov,114508, 9th,5, Separated, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n46, Self-emp-inc,214627, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n42, Private,129684, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Black, Female,5455,0,50, United-States, <=50K\n25, State-gov,120041, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,361138, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,50, United-States, <=50K\n37, Private,76893, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,205424, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,40, United-States, >50K\n61, Private,176839, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n40, Private,229148, 12th,8, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, Jamaica, <=50K\n58, Self-emp-inc,154537, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,20, United-States, >50K\n52, Private,181901, HS-grad,9, Married-spouse-absent, Farming-fishing, Other-relative, White, Male,0,0,20, Mexico, <=50K\n18, Private,152004, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n27, Private,205188, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,30840, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,45, United-States, <=50K\n63, Private,66634, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,16, United-States, <=50K\n38, Self-emp-not-inc,180220, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,291052, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,2051,40, United-States, <=50K\n40, Self-emp-not-inc,99651, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n41, Private,327723, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,32291, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,2174,0,40, United-States, <=50K\n31, Private,345122, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,14084,0,50, United-States, >50K\n32, Private,127384, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n30, Private,363296, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,72, United-States, <=50K\n39, Local-gov,86551, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1876,40, United-States, <=50K\n28, Private,30070, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n31, Private,595000, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Female,0,0,35, United-States, <=50K\n21, ?,152328, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n33, ?,177824, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, State-gov,111483, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,199555, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,25, United-States, <=50K\n42, Private,50018, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K\n36, Private,218490, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n39, Private,49020, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,1974,40, United-States, <=50K\n61, Private,213321, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,40, United-States, <=50K\n31, Private,159187, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,83033, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, Germany, <=50K\n39, Self-emp-not-inc,31848, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,2829,0,90, United-States, <=50K\n34, Self-emp-not-inc,24961, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K\n21, Private,182117, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n75, Self-emp-not-inc,146576, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Male,0,0,48, United-States, >50K\n21, Private,176690, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K\n81, Private,122651, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K\n54, Self-emp-inc,149650, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, Canada, <=50K\n34, Private,454508, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, Iran, <=50K\n54, Self-emp-not-inc,269068, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999,0,50, Philippines, >50K\n41, Private,266530, HS-grad,9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,45, United-States, <=50K\n61, ?,198542, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n63, Private,133144, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,2580,0,20, United-States, <=50K\n24, Private,217961, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,221661, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Mexico, <=50K\n44, Local-gov,60735, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Female,0,0,60, United-States, <=50K\n47, Self-emp-not-inc,121124, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,48588, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,48087, 7th-8th,4, Divorced, Craft-repair, Not-in-family, White, Male,0,1590,40, United-States, <=50K\n53, Self-emp-not-inc,240138, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n63, Private,273010, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,3471,0,40, United-States, <=50K\n44, Private,104196, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n37, Private,230035, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, >50K\n28, Private,38918, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Germany, >50K\n71, ?,205011, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K\n57, Private,176079, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,180052, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K\n33, Local-gov,173005, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1848,45, United-States, >50K\n30, Private,378723, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,55, United-States, <=50K\n20, Private,233624, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,192591, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n54, Private,249860, 11th,7, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,10, United-States, <=50K\n20, Private,247564, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n34, Private,238912, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,190227, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n29, State-gov,293287, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Private,180807, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,250217, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,70, United-States, <=50K\n19, Private,217418, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,38, United-States, <=50K\n22, Local-gov,137510, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n59, State-gov,163047, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n18, Private,577521, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,13, United-States, <=50K\n22, Private,221533, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n42, Local-gov,255675, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,114079, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,155781, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,243762, 11th,7, Separated, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,113062, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,7, United-States, <=50K\n67, Private,217028, Masters,14, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,110723, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n47, Federal-gov,191858, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,179423, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,5, United-States, <=50K\n20, Private,339588, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Peru, <=50K\n22, Private,206815, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, Peru, <=50K\n47, State-gov,103743, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,235683, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n64, ?,207321, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n35, State-gov,197495, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n52, Federal-gov,424012, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,178469, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n73, Self-emp-inc,92886, 10th,6, Widowed, Sales, Unmarried, White, Female,0,0,40, Canada, <=50K\n38, Self-emp-not-inc,214008, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n59, Self-emp-not-inc,325732, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,52, United-States, >50K\n35, Private,28572, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,35, United-States, <=50K\n18, Private,118376, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n24, Private,51799, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n33, Local-gov,115488, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,190621, Some-college,10, Divorced, Exec-managerial, Other-relative, Black, Female,0,0,55, United-States, <=50K\n55, Private,193568, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,192878, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,264663, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,60, United-States, <=50K\n22, Private,234731, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,308373, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n45, Private,205644, HS-grad,9, Separated, Tech-support, Not-in-family, White, Female,0,0,26, United-States, <=50K\n47, Local-gov,321851, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n56, Private,206399, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,124563, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n32, State-gov,198211, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K\n17, Private,130795, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n44, Private,71269, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Self-emp-not-inc,319280, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,80, United-States, <=50K\n35, Private,125933, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n27, Private,107236, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,32732, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n68, Private,284763, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K\n20, Private,112668, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n33, Private,376483, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n24, Private,402778, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n48, Private,36177, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n45, Private,125489, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n48, Private,304791, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,209205, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n60, ?,112821, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, >50K\n39, Local-gov,178100, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,70261, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n23, State-gov,186634, 12th,8, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,32958, Some-college,10, Separated, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n25, Private,254746, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n52, Private,158746, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,140854, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,51506, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,189564, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,42, United-States, >50K\n37, Federal-gov,325538, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n58, Private,213975, Assoc-voc,11, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n67, Self-emp-not-inc,431426, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,2, United-States, <=50K\n48, Private,199763, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,8, United-States, <=50K\n63, Private,161563, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n24, Local-gov,252024, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K\n43, Private,43945, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,178487, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K\n32, Private,604506, HS-grad,9, Married-civ-spouse, Transport-moving, Own-child, White, Male,0,0,72, Mexico, <=50K\n36, Private,228157, Some-college,10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K\n43, Private,199191, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n27, Private,189775, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n17, Private,171080, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n45, Private,117310, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,46, United-States, <=50K\n41, Self-emp-inc,82049, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,126094, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K\n18, ?,202516, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n48, Local-gov,246392, Assoc-acdm,12, Separated, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n51, ?,69328, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,292803, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n54, Private,286989, Preschool,1, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n22, Private,190483, Some-college,10, Divorced, Sales, Own-child, White, Female,0,0,48, Iran, <=50K\n19, Private,235849, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,35, United-States, <=50K\n47, Private,359766, 7th-8th,4, Divorced, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K\n32, Private,128016, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n46, Private,360096, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n30, Private,170154, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, >50K\n35, Private,337286, Masters,14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n52, Private,204322, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,5013,0,40, United-States, <=50K\n73, Self-emp-not-inc,143833, 12th,8, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,18, United-States, <=50K\n17, Private,365613, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,10, Canada, <=50K\n32, Private,100135, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n43, Local-gov,180096, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n19, ?,371827, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, Portugal, <=50K\n26, Private,61270, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Other, Female,0,0,40, Columbia, <=50K\n41, Federal-gov,564135, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,198759, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K\n52, State-gov,303462, Some-college,10, Separated, Protective-serv, Unmarried, White, Male,0,0,40, United-States, <=50K\n35, Private,193106, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K\n57, Private,250201, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,52, United-States, <=50K\n35, Private,200426, Assoc-voc,11, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,0,0,44, United-States, <=50K\n33, Private,222654, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Private,53366, 7th-8th,4, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n42, Private,132222, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,60, United-States, <=50K\n17, Private,100828, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n49, Private,31264, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n39, Private,202027, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n34, Self-emp-not-inc,168906, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n37, Self-emp-not-inc,255454, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n22, Private,245524, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n27, Private,386040, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n21, Private,35424, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n59, ?,93655, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,152629, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,3103,0,40, United-States, >50K\n53, Self-emp-not-inc,151159, 10th,6, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0,0,99, United-States, <=50K\n26, Private,410240, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,138970, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n39, Private,269722, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n34, Private,223678, HS-grad,9, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,32, United-States, <=50K\n54, State-gov,197184, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K\n36, Private,143486, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,50, United-States, >50K\n60, Private,160625, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,40, United-States, <=50K\n50, Private,140516, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n48, Local-gov,85341, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,108293, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,2205,40, United-States, <=50K\n40, Self-emp-not-inc,192507, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n30, Private,186932, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n65, Self-emp-not-inc,223580, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,6514,0,40, United-States, >50K\n31, Private,236861, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n46, Local-gov,327886, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n67, ?,407618, 9th,5, Divorced, ?, Not-in-family, White, Female,2050,0,40, United-States, <=50K\n62, Self-emp-inc,197060, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,229180, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, Cuba, <=50K\n24, Private,284317, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n24, Private,73514, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,50, Philippines, <=50K\n27, Private,47907, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K\n43, State-gov,134782, Assoc-acdm,12, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n48, Private,118831, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Female,0,0,40, South, <=50K\n41, Private,299505, HS-grad,9, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n30, Private,267161, Some-college,10, Married-civ-spouse, Tech-support, Wife, Black, Female,0,0,45, United-States, <=50K\n38, Private,119177, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,327886, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n45, Private,187730, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,109015, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n46, Self-emp-not-inc,110015, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, Greece, <=50K\n24, Private,104146, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n31, Local-gov,50442, Some-college,10, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,25, United-States, <=50K\n35, Private,57640, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n37, Local-gov,333664, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,224858, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n56, Private,290641, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n60, ?,191118, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,1848,40, United-States, >50K\n25, Private,34402, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1590,60, United-States, <=50K\n33, Private,245378, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,179136, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,116788, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,129699, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Federal-gov,39606, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, England, >50K\n44, Self-emp-inc,95150, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n63, Private,102479, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,199191, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K\n31, Private,229636, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Mexico, <=50K\n26, Private,53833, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, <=50K\n37, Self-emp-inc,27997, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n60, ?,124487, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, >50K\n33, Private,111363, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n38, Private,107630, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,134287, Assoc-voc,11, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n46, Self-emp-inc,283004, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,63, Thailand, <=50K\n24, Private,33616, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n47, Local-gov,121124, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n27, Private,188189, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,30, United-States, <=50K\n46, Private,106255, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Federal-gov,282830, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n47, Private,243904, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, Honduras, <=50K\n69, Private,165017, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Male,2538,0,40, United-States, <=50K\n32, Private,131584, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K\n51, Private,427781, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n36, Private,334291, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n50, Local-gov,173224, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n29, Private,87507, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,60, India, <=50K\n32, Private,187560, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,3908,0,40, United-States, <=50K\n27, Private,204497, 10th,6, Divorced, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,75, United-States, <=50K\n60, Private,230545, 7th-8th,4, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, Cuba, <=50K\n31, Private,118161, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,150499, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Local-gov,96554, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,288551, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,52, United-States, >50K\n69, Self-emp-not-inc,104003, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n54, Self-emp-inc,124963, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,198388, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Federal-gov,126204, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,91709, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,45, United-States, <=50K\n34, Self-emp-not-inc,152109, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n24, Self-emp-not-inc,191954, 7th-8th,4, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K\n63, Private,108097, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,10566,0,45, United-States, <=50K\n29, Local-gov,289991, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n64, Private,92115, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,320277, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,33610, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,60, United-States, <=50K\n36, Private,168276, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, State-gov,175127, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,38, United-States, >50K\n37, Private,254973, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, United-States, >50K\n37, Private,95336, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,65, United-States, <=50K\n63, Private,346975, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,36, United-States, >50K\n33, Private,227282, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n19, Private,138153, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n57, Local-gov,174132, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,1977,40, United-States, >50K\n31, Private,182237, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,4386,0,45, United-States, >50K\n20, ?,111252, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n58, Local-gov,217775, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n20, ?,168863, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n25, Private,394503, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,141657, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, Private,125441, 11th,7, Never-married, Other-service, Own-child, White, Male,1055,0,20, United-States, <=50K\n26, Private,172230, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,282944, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n45, Local-gov,55377, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K\n35, State-gov,49352, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K\n32, Private,213887, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,45, United-States, <=50K\n61, Self-emp-not-inc,24046, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n26, State-gov,208122, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K\n56, Private,176118, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K\n22, Private,227994, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,39, United-States, <=50K\n49, Private,215389, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,48, United-States, <=50K\n40, Private,99434, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,12, United-States, <=50K\n37, Private,190964, HS-grad,9, Separated, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n23, ?,113700, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K\n28, Private,259840, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n27, Private,168827, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-inc,28984, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,182211, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n41, Private,82393, Some-college,10, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n28, Private,183639, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,21, United-States, <=50K\n38, Private,342448, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n47, State-gov,469907, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1740,40, United-States, <=50K\n28, Local-gov,211920, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n44, State-gov,33658, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n41, Federal-gov,34178, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,400630, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K\n73, Self-emp-not-inc,161251, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,24, United-States, <=50K\n21, Private,255685, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, Outlying-US(Guam-USVI-etc), <=50K\n38, Private,199256, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n64, ?,143716, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K\n47, Private,221666, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Private,145409, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,60, Canada, >50K\n24, Private,39615, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n44, Private,104440, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,151382, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, White, Male,0,974,40, United-States, <=50K\n61, Self-emp-not-inc,503675, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, >50K\n58, Private,306233, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n51, Private,216475, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,1564,43, United-States, >50K\n49, Private,50748, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,55, England, <=50K\n23, Private,107190, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K\n19, Private,206874, Assoc-voc,11, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n21, Private,83141, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,53, United-States, <=50K\n56, Private,444089, 11th,7, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,141896, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Federal-gov,33487, Some-college,10, Divorced, Tech-support, Unmarried, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K\n41, Private,65372, Doctorate,16, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, >50K\n30, Private,341346, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,343403, Doctorate,16, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,20, ?, <=50K\n47, Private,287480, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Self-emp-inc,107287, 10th,6, Widowed, Exec-managerial, Unmarried, White, Female,0,2559,50, United-States, >50K\n55, Private,199067, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,32, United-States, <=50K\n22, ?,182771, Assoc-voc,11, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K\n31, Private,159737, 10th,6, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n30, Private,110643, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,4386,0,40, United-States, >50K\n24, Private,117583, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,48, United-States, <=50K\n49, Self-emp-not-inc,43479, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,203003, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,25, Germany, <=50K\n50, Private,133963, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n38, Private,227794, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n20, Self-emp-not-inc,112137, Some-college,10, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,20, South, <=50K\n49, Self-emp-not-inc,110457, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n45, Private,281565, HS-grad,9, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,50, South, <=50K\n46, Federal-gov,297906, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K\n19, Private,151506, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n31, Federal-gov,139455, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, Cuba, <=50K\n38, Private,26987, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,233312, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,161092, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n58, Local-gov,98361, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n28, Private,188928, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,164922, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,185673, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,193598, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n56, Private,274111, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n32, Private,245482, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n56, Private,160932, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, >50K\n50, Private,44368, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n28, ?,291374, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,30, United-States, <=50K\n30, Private,280927, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,222993, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Federal-gov,25240, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,204052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,74054, 11th,7, Never-married, Sales, Own-child, Other, Female,0,0,20, ?, <=50K\n46, Private,169042, 10th,6, Never-married, Other-service, Not-in-family, White, Female,0,0,25, Ecuador, <=50K\n31, Private,104509, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,65, United-States, >50K\n38, Local-gov,185394, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, United-States, >50K\n44, Local-gov,254146, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-inc,227856, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,50, United-States, >50K\n19, Private,183041, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n45, Private,107682, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n50, Self-emp-inc,287598, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n53, Private,182186, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Dominican-Republic, <=50K\n41, Self-emp-inc,194636, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,65, United-States, >50K\n45, Private,112305, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n21, Private,212661, 10th,6, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,39, United-States, <=50K\n37, Private,32709, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n42, Federal-gov,46366, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,24106, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, United-States, <=50K\n46, Private,170850, Bachelors,13, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,1590,40, ?, <=50K\n45, Self-emp-not-inc,40666, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n32, Private,182975, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,20, United-States, <=50K\n30, Private,345122, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n57, ?,208311, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,80, United-States, >50K\n37, Private,120045, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,56, United-States, <=50K\n18, ?,201299, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Private,152940, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,243580, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,182128, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,6497,0,50, United-States, <=50K\n36, ?,176458, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,28, United-States, <=50K\n33, Private,101562, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,108699, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,175878, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Female,0,0,40, United-States, <=50K\n34, Local-gov,177675, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,50, United-States, >50K\n33, Private,213887, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,357619, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, Germany, <=50K\n23, Private,435835, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,1669,55, United-States, <=50K\n39, Private,165799, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,71469, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n19, Private,229745, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n47, Private,284916, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,45, United-States, >50K\n46, Private,28419, Assoc-voc,11, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n47, Private,26950, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,6, United-States, <=50K\n47, Self-emp-not-inc,107231, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n52, Local-gov,512103, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,245090, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n58, Private,314153, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,243988, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n54, Self-emp-not-inc,82551, Assoc-voc,11, Married-civ-spouse, Tech-support, Other-relative, White, Female,0,0,10, United-States, <=50K\n20, Private,42706, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,25, United-States, <=50K\n25, Private,235795, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K\n25, Self-emp-not-inc,108001, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,0,15, United-States, <=50K\n36, State-gov,112497, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,1876,44, United-States, <=50K\n69, Self-emp-not-inc,128206, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, United-States, <=50K\n28, Private,224634, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n20, Private,362999, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n21, Private,346693, 7th-8th,4, Never-married, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K\n37, Private,175759, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,99199, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,32, United-States, <=50K\n25, ?,219987, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,13, United-States, <=50K\n39, Private,143445, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K\n34, Private,118710, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n33, Local-gov,224185, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,118972, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n29, Private,165360, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,38950, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,89, United-States, <=50K\n42, Self-emp-inc,277256, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K\n29, Private,247151, 11th,7, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,213722, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,209955, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n41, Private,174395, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,138626, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,1876,50, United-States, <=50K\n22, ?,179973, Assoc-voc,11, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,200207, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,44, United-States, <=50K\n19, Private,156587, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K\n24, Private,33016, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,197496, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, ?, <=50K\n32, Private,153588, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Private,99736, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,15020,0,50, United-States, >50K\n36, Private,284166, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,60, United-States, >50K\n18, Private,716066, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K\n27, Private,188519, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,109080, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n52, Private,174421, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n24, Private,259351, Some-college,10, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K\n42, Federal-gov,284403, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, Private,85319, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,60, United-States, >50K\n20, ?,201766, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n20, State-gov,340475, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n39, Private,487486, HS-grad,9, Widowed, Handlers-cleaners, Unmarried, White, Male,0,0,40, ?, <=50K\n68, ?,484298, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n35, Private,170617, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,48, United-States, <=50K\n54, Private,94055, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,117779, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,209770, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,8, United-States, <=50K\n20, Private,317443, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,15, United-States, <=50K\n64, ?,140237, Preschool,1, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,107411, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n36, Self-emp-not-inc,122493, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, <=50K\n44, Self-emp-inc,195124, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, ?, <=50K\n38, Private,101978, Some-college,10, Separated, Machine-op-inspct, Not-in-family, White, Male,0,2258,55, United-States, >50K\n22, Private,335453, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n56, Private,318329, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,100321, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n24, Self-emp-not-inc,81145, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,75, United-States, <=50K\n22, Private,62865, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,176262, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,30, United-States, <=50K\n42, Private,168103, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, Local-gov,208174, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,55, United-States, <=50K\n19, Private,188815, HS-grad,9, Never-married, Other-service, Own-child, White, Female,34095,0,20, United-States, <=50K\n67, Self-emp-not-inc,226092, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,44, United-States, <=50K\n20, Private,212668, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n32, Private,381583, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K\n46, Private,239439, HS-grad,9, Separated, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n52, Private,172493, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,36, United-States, <=50K\n44, Private,239876, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Male,0,0,40, United-States, <=50K\n65, ?,221881, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Mexico, <=50K\n37, Local-gov,218184, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n27, Self-emp-not-inc,206889, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,110668, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,35, United-States, <=50K\n30, Private,211028, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n64, Local-gov,202984, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,40, United-States, <=50K\n48, Private,20296, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, >50K\n35, Private,194690, 7th-8th,4, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,204984, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K\n63, Self-emp-not-inc,35021, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1977,32, China, >50K\n40, Self-emp-not-inc,238574, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n33, Private,345360, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,192381, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,479765, 7th-8th,4, Never-married, Sales, Other-relative, White, Male,0,0,45, Guatemala, <=50K\n45, Self-emp-inc,34091, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K\n30, Private,151773, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,299080, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n63, Private,135339, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,2105,0,40, Vietnam, <=50K\n27, Local-gov,52156, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,318647, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,80145, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n39, State-gov,343646, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, Mexico, >50K\n42, Self-emp-not-inc,198692, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n19, Private,266635, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,30, United-States, <=50K\n31, Private,197672, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,185846, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,315110, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K\n27, Private,220754, Doctorate,16, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,64292, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,126060, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n52, Private,78012, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,1762,40, United-States, <=50K\n32, Private,210562, Assoc-voc,11, Divorced, Craft-repair, Own-child, White, Male,0,0,46, United-States, <=50K\n23, Private,350181, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,233421, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n53, Private,167170, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n18, Private,260801, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n41, Private,173370, Bachelors,13, Separated, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n27, Private,135520, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Dominican-Republic, <=50K\n30, Private,121308, Some-college,10, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,444743, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n21, Private,65225, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n58, State-gov,136982, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,40, Honduras, <=50K\n45, State-gov,271962, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,204046, 10th,6, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,225823, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,183009, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Other, Female,0,1590,40, United-States, <=50K\n50, Private,121038, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K\n26, Private,49092, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,148709, HS-grad,9, Separated, Handlers-cleaners, Other-relative, White, Female,0,0,40, United-States, <=50K\n27, Private,209205, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,285865, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n22, Federal-gov,216129, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n37, Federal-gov,40955, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, Japan, <=50K\n54, Private,197189, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,33001, HS-grad,9, Divorced, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K\n44, Private,227399, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K\n38, Private,164050, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K\n49, Private,259087, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,236262, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n26, Private,177929, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K\n48, Private,166929, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, ?, >50K\n32, Private,199963, 11th,7, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n35, State-gov,98776, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,135056, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n40, Self-emp-not-inc,55363, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,40, United-States, <=50K\n42, State-gov,102343, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,72, India, >50K\n30, Private,231263, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,226913, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n36, Private,129573, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n31, Private,191001, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Federal-gov,69345, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n38, Private,204556, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,192626, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n45, Private,202812, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,405177, 10th,6, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,227890, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,46, United-States, >50K\n33, Private,101352, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n49, Private,82572, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K\n28, Private,132686, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n49, Local-gov,149210, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,15024,0,40, United-States, >50K\n27, Private,245661, HS-grad,9, Separated, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-inc,483596, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,2885,0,32, United-States, <=50K\n42, State-gov,104663, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, Italy, >50K\n30, Private,347166, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n37, Local-gov,108540, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,333305, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, <=50K\n51, Private,155408, HS-grad,9, Married-spouse-absent, Sales, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n27, Federal-gov,246372, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,30290, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,347321, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-inc,205852, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n40, Federal-gov,163215, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, ?, <=50K\n54, State-gov,93449, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K\n47, Self-emp-inc,116927, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n35, Private,164526, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Yugoslavia, >50K\n33, Private,31573, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, Local-gov,125159, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,40, Haiti, <=50K\n39, State-gov,201105, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, >50K\n25, ?,122745, HS-grad,9, Never-married, ?, Own-child, White, Male,0,1602,40, United-States, <=50K\n33, Private,150570, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,118941, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,40, Ireland, <=50K\n53, Private,141388, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,174714, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K\n31, State-gov,75755, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,55, United-States, >50K\n63, Private,133144, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n21, Self-emp-not-inc,318865, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n59, Private,109638, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,92969, 1st-4th,2, Separated, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n66, ?,376028, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K\n19, Private,144161, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K\n31, Private,183778, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K\n23, Private,398904, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n45, Private,170846, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n35, Local-gov,204277, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,205152, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,225395, 7th-8th,4, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,60, Mexico, <=50K\n38, Private,33975, HS-grad,9, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, >50K\n49, Private,147032, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,8, Philippines, <=50K\n64, Private,174826, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Local-gov,232769, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n25, Private,36984, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n21, Private,292264, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n26, Private,303973, HS-grad,9, Never-married, Priv-house-serv, Other-relative, White, Female,0,1602,15, Mexico, <=50K\n23, Private,287988, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,20, United-States, <=50K\n67, Self-emp-inc,330144, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K\n24, Private,191948, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n46, Private,324601, 1st-4th,2, Separated, Machine-op-inspct, Own-child, White, Female,0,0,40, Guatemala, <=50K\n38, State-gov,200289, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K\n20, Private,113307, 7th-8th,4, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n28, ?,194087, Some-college,10, Never-married, ?, Other-relative, White, Female,0,0,40, United-States, <=50K\n26, Private,155213, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K\n58, Private,175127, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, State-gov,358461, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n37, State-gov,354929, Assoc-acdm,12, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,38, United-States, <=50K\n53, State-gov,104501, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n45, Private,112929, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n33, Private,132832, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n33, State-gov,357691, Masters,14, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K\n35, Private,114605, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,25, United-States, <=50K\n60, Self-emp-not-inc,525878, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K\n21, Private,68358, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n38, Private,174571, 10th,6, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,45, United-States, <=50K\n40, Private,42703, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Private,220589, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n44, Self-emp-not-inc,197558, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K\n27, Private,423250, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n34, Self-emp-not-inc,29254, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n20, ?,308924, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n49, Local-gov,276247, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,213841, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,181677, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, >50K\n46, Private,160061, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n20, Private,285295, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0,0,40, ?, <=50K\n43, Private,265266, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,222115, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,99999,0,40, United-States, >50K\n25, State-gov,194954, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, <=50K\n48, Private,156926, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,217414, Some-college,10, Divorced, Protective-serv, Unmarried, White, Male,0,0,55, United-States, <=50K\n37, Private,538443, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,14344,0,40, United-States, >50K\n18, ?,192399, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K\n42, Private,383493, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n60, Private,193235, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,24, United-States, <=50K\n37, Self-emp-inc,99452, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K\n44, Local-gov,254134, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n32, Private,90446, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,116613, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Portugal, <=50K\n42, Local-gov,238188, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n17, Private,95909, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n41, Private,82319, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,10, United-States, <=50K\n34, Private,182274, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1887,40, United-States, >50K\n56, Private,179625, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n28, Private,119793, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,254989, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,104830, 7th-8th,4, Never-married, Transport-moving, Unmarried, White, Male,0,0,25, Guatemala, <=50K\n49, Federal-gov,110373, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n36, Self-emp-not-inc,135416, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,50, United-States, <=50K\n25, Private,298225, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n42, Private,166740, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,213668, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n26, Private,276624, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,226789, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,58, United-States, <=50K\n37, Private,31023, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n39, Local-gov,116666, HS-grad,9, Never-married, Protective-serv, Own-child, Amer-Indian-Eskimo, Male,4650,0,48, United-States, <=50K\n42, Private,136986, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n41, Private,179580, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,36, United-States, >50K\n23, Private,103277, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n31, Federal-gov,351141, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,191161, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,57, United-States, >50K\n20, Private,148709, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Female,0,0,25, United-States, <=50K\n36, Private,128382, Some-college,10, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,45, United-States, <=50K\n50, Private,144361, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,172538, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,102476, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Male,27828,0,50, United-States, >50K\n39, Private,46028, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,60, United-States, <=50K\n32, Private,198452, HS-grad,9, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,40, United-States, <=50K\n59, Private,193895, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n29, Private,233421, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,45, United-States, <=50K\n50, Private,378747, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n42, Private,31251, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,37, United-States, <=50K\n32, Private,71540, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,194772, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n20, Private,34568, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3781,0,35, United-States, <=50K\n50, Self-emp-not-inc,36480, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n18, Private,116528, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n60, Private,52152, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n60, Private,216690, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K\n42, Local-gov,227065, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,22, United-States, <=50K\n49, Private,84013, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n35, Self-emp-inc,82051, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,176185, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Iran, <=50K\n59, Private,115414, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n24, Self-emp-inc,493034, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,13550,0,50, United-States, >50K\n55, Private,354923, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,393712, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n39, Private,98941, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,141483, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,172479, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n21, Private,226145, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n23, Private,394612, Bachelors,13, Never-married, Tech-support, Own-child, Black, Male,0,0,40, United-States, <=50K\n22, Private,231085, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n55, Self-emp-not-inc,183810, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n19, Private,186159, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,162282, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,25, United-States, <=50K\n46, Private,219021, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,44, United-States, >50K\n23, Private,273206, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,23, United-States, <=50K\n47, Self-emp-inc,332355, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n23, Private,102729, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n42, Private,198096, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n22, State-gov,292933, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n18, Private,135924, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n37, Private,99146, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n34, Private,27409, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,299507, Assoc-acdm,12, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,102631, Some-college,10, Widowed, Farming-fishing, Unmarried, White, Female,0,0,50, United-States, <=50K\n51, Private,153486, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,434292, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,30, United-States, <=50K\n28, Self-emp-not-inc,240172, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n56, Private,219426, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,295791, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,30, United-States, <=50K\n46, Private,114032, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,1887,45, United-States, >50K\n23, Local-gov,496382, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,40, Guatemala, <=50K\n33, Private,376483, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,30, United-States, <=50K\n27, Private,107218, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n21, Private,246207, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K\n18, ?,80564, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K\n36, Private,83089, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, Mexico, >50K\n37, Local-gov,328301, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K\n39, Local-gov,301614, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,199739, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,60, United-States, >50K\n24, Private,180060, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,2354,0,40, United-States, <=50K\n26, Private,121040, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K\n37, Private,125550, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n34, Private,170772, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,180551, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,48189, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,30, United-States, <=50K\n20, Private,432154, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,8, Mexico, <=50K\n26, Private,263200, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n47, Private,123207, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n17, Private,110798, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n53, Private,238481, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,40, United-States, <=50K\n31, Private,185528, Some-college,10, Divorced, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n34, Private,181311, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,528616, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n39, Private,272950, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n22, ?,195532, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,197583, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n40, Private,48612, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n54, Local-gov,31533, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n32, Federal-gov,148138, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,2002,40, Iran, <=50K\n29, Local-gov,30069, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,2635,0,40, United-States, <=50K\n68, ?,170182, Some-college,10, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n27, Local-gov,230885, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K\n54, Private,174102, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n23, Private,352606, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,241153, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n54, Private,155433, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K\n21, Private,109414, Some-college,10, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,1974,40, United-States, <=50K\n40, Private,125461, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,42, United-States, <=50K\n19, Private,331556, 10th,6, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, ?,138575, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,60, United-States, <=50K\n35, Private,223514, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n39, Private,115418, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,2174,0,45, United-States, <=50K\n38, Private,193026, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,1408,40, ?, <=50K\n41, Private,147206, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,174592, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,268620, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K\n70, Self-emp-not-inc,150886, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K\n45, Private,112362, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n83, Private,195507, HS-grad,9, Widowed, Protective-serv, Not-in-family, White, Male,0,0,55, United-States, <=50K\n59, Private,192983, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,120544, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,15, United-States, <=50K\n31, Private,59083, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,208277, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n24, Local-gov,184678, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,278736, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n48, Local-gov,39464, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,52, United-States, <=50K\n27, Private,162343, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Dominican-Republic, <=50K\n41, Private,204046, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,255647, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, Mexico, <=50K\n53, Private,123011, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, >50K\n66, Self-emp-not-inc,291362, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n31, Private,159187, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n30, State-gov,126414, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,227626, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-inc,173783, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K\n74, Private,211075, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,176756, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,1485,70, United-States, >50K\n35, Self-emp-not-inc,31095, Some-college,10, Separated, Farming-fishing, Not-in-family, White, Male,4101,0,60, United-States, <=50K\n51, Self-emp-not-inc,32372, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,70, United-States, <=50K\n40, Private,331651, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Local-gov,146325, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n26, Private,515025, 10th,6, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, United-States, <=50K\n53, Private,394474, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n32, Private,400535, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3781,0,40, United-States, <=50K\n29, Self-emp-not-inc,337505, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n42, Private,211860, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,102684, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,32, United-States, <=50K\n62, ?,225657, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K\n33, Private,121966, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,396790, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,20, United-States, <=50K\n46, Local-gov,149949, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,252187, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,209934, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n29, Federal-gov,229300, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K\n33, Private,170769, Doctorate,16, Divorced, Sales, Not-in-family, White, Male,99999,0,60, United-States, >50K\n50, Private,200618, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,216984, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n40, Private,212760, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,150309, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,45, United-States, <=50K\n54, Private,174655, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,109621, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,225124, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,172695, 11th,7, Widowed, Other-service, Not-in-family, White, Female,0,0,27, El-Salvador, <=50K\n71, Self-emp-not-inc,238479, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,8, United-States, <=50K\n27, Private,37754, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K\n56, Private,85018, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n64, Private,256466, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,60, Philippines, >50K\n23, Private,169188, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, <=50K\n36, Private,210945, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n39, Local-gov,287031, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n26, Private,224361, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Federal-gov,108464, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,75826, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,120277, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,104439, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n27, Private,56870, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,200819, 12th,8, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,170562, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,20, United-States, <=50K\n30, Private,80933, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,33088, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,112763, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,7430,0,36, United-States, >50K\n29, Private,177651, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n31, Private,261943, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,169785, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, Italy, <=50K\n20, Private,141481, 11th,7, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,50, United-States, <=50K\n37, Private,433491, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Local-gov,86615, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,30, United-States, <=50K\n39, Private,125550, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n46, State-gov,421223, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,26999, Bachelors,13, Separated, Exec-managerial, Unmarried, White, Female,0,0,42, United-States, <=50K\n36, Self-emp-not-inc,241998, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,99999,0,20, United-States, >50K\n34, ?,133861, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n44, Private,115323, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n34, Self-emp-inc,23778, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n28, Self-emp-not-inc,190836, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n38, Self-emp-inc,159179, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n64, ?,205479, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n19, ?,47713, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,163237, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K\n61, Private,202202, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,168837, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,112271, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,52537, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Male,0,0,30, United-States, <=50K\n27, Private,38353, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n22, Private,141698, 10th,6, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n26, Private,28856, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,175652, 11th,7, Never-married, Other-service, Other-relative, White, Female,0,0,15, United-States, <=50K\n36, Private,213008, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,196501, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,14084,0,50, United-States, >50K\n63, Private,118798, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K\n51, Private,92463, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n20, State-gov,125165, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n42, Self-emp-not-inc,103980, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n40, ?,180362, Bachelors,13, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,53903, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,179735, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n41, ?,277390, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,30, United-States, >50K\n49, Private,122177, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,80, United-States, <=50K\n46, Private,188161, HS-grad,9, Separated, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,170108, HS-grad,9, Separated, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n28, Private,175262, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, Mexico, <=50K\n19, ?,204441, HS-grad,9, Never-married, ?, Other-relative, Black, Male,0,0,20, United-States, <=50K\n19, Private,164395, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n18, Private,115630, 11th,7, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K\n39, Private,178815, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n60, Self-emp-not-inc,168223, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n46, Local-gov,202560, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,1408,40, United-States, <=50K\n38, Private,100295, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,50, Canada, >50K\n36, Private,172256, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, >50K\n45, Private,51664, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n60, State-gov,358893, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,2339,40, United-States, <=50K\n30, Private,115963, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,333910, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,43, United-States, <=50K\n23, Private,148948, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n48, State-gov,130561, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,24, United-States, <=50K\n46, Private,428350, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n43, Private,188808, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,112847, HS-grad,9, Married-civ-spouse, Transport-moving, Own-child, Other, Male,0,0,40, United-States, <=50K\n50, Private,110748, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Self-emp-inc,156653, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n35, Private,196491, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n65, Local-gov,254413, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Private,91262, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,45, United-States, <=50K\n43, Self-emp-not-inc,154785, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,80, Thailand, <=50K\n55, Private,84231, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n22, Private,226327, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,248406, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,32, United-States, <=50K\n35, Private,54317, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1672,50, United-States, <=50K\n22, ?,32732, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K\n20, Private,95918, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,375675, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, >50K\n43, Private,244172, HS-grad,9, Separated, Transport-moving, Unmarried, White, Male,0,0,40, Mexico, <=50K\n46, Federal-gov,233555, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, ?, <=50K\n39, Private,326342, 11th,7, Married-civ-spouse, Other-service, Husband, Black, Male,2635,0,37, United-States, <=50K\n34, Private,77271, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,20, England, <=50K\n35, Private,33397, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n30, Private,446358, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,41, United-States, <=50K\n25, Private,151810, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,28, United-States, <=50K\n44, Private,125461, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n35, Private,133906, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,155106, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n43, Federal-gov,203637, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n32, Private,232766, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,305319, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,121023, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n29, Private,198997, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K\n38, Private,167140, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,70, United-States, >50K\n20, Private,38772, 10th,6, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,50, United-States, <=50K\n41, Private,253759, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n27, Private,130067, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,65, United-States, <=50K\n37, Private,203828, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, State-gov,221558, Masters,14, Separated, Prof-specialty, Unmarried, White, Female,0,0,24, ?, <=50K\n31, Private,156464, 10th,6, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,72333, Some-college,10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n33, Local-gov,83671, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,50, United-States, <=50K\n31, Private,339482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,40, United-States, >50K\n19, Private,91928, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,35, United-States, <=50K\n44, Private,99203, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-inc,455995, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, >50K\n62, Private,192515, HS-grad,9, Widowed, Farming-fishing, Unmarried, White, Female,0,0,40, United-States, <=50K\n65, Self-emp-not-inc,111483, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2174,10, United-States, >50K\n17, Private,221129, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n60, Private,85413, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, >50K\n31, Private,196125, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,265638, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n53, Private,177727, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,205822, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,112607, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n40, Federal-gov,177595, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,40, United-States, <=50K\n18, Private,183315, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,10, United-States, <=50K\n47, Private,116279, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,43, United-States, <=50K\n38, Federal-gov,122493, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,4064,0,40, United-States, <=50K\n37, Private,215419, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, <=50K\n40, Private,310101, Some-college,10, Separated, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n57, Self-emp-inc,61885, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,60, United-States, >50K\n43, Private,59107, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,4101,0,40, United-States, <=50K\n32, Private,227214, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,40, Ecuador, <=50K\n64, Private,239450, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,118847, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n40, Self-emp-not-inc,95226, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n17, ?,659273, 11th,7, Never-married, ?, Own-child, Black, Female,0,0,40, Trinadad&Tobago, <=50K\n23, Private,215395, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,170600, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,91044, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K\n27, Private,318639, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,60, Mexico, <=50K\n23, Private,160398, Some-college,10, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,216824, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K\n35, Private,308945, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,75, United-States, <=50K\n47, Private,30840, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n33, Private,99309, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,188576, Bachelors,13, Separated, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n46, Private,83064, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,403865, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, <=50K\n40, Private,235786, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K\n44, Private,191893, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n31, Local-gov,149184, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,97, United-States, >50K\n37, Private,152909, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,40, United-States, >50K\n23, Private,435604, Assoc-voc,11, Separated, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Self-emp-inc,109282, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K\n31, Private,248178, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,35, United-States, <=50K\n24, ?,112683, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,32, United-States, <=50K\n32, Private,209103, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3464,0,40, United-States, <=50K\n27, Private,183639, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,107233, HS-grad,9, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Male,0,0,55, United-States, <=50K\n27, Private,175387, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1876,40, United-States, <=50K\n30, Self-emp-not-inc,178255, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, ?, <=50K\n33, Self-emp-not-inc,38223, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,70, United-States, <=50K\n34, Private,228873, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n29, Private,202182, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n26, Local-gov,425092, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,2174,0,40, United-States, <=50K\n39, Self-emp-not-inc,152587, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-inc,39089, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,50, United-States, >50K\n51, Private,204304, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n40, Private,116103, Some-college,10, Separated, Craft-repair, Unmarried, White, Male,4934,0,47, United-States, >50K\n53, Private,290640, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n58, Federal-gov,81973, Some-college,10, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,1485,40, United-States, >50K\n29, Private,134890, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,452924, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Mexico, <=50K\n57, Private,245193, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n69, State-gov,34339, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,184756, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K\n56, Private,392160, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,25, Mexico, <=50K\n49, Private,168337, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,309513, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n70, Private,77219, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,37, United-States, <=50K\n44, Private,212888, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n37, Private,361888, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K\n58, Local-gov,237879, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,58, United-States, <=50K\n42, Self-emp-not-inc,93099, Some-college,10, Married-civ-spouse, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K\n41, Private,225193, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,50814, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Local-gov,123681, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,60, United-States, >50K\n24, Private,249351, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,222311, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,7688,0,55, United-States, >50K\n18, Private,301762, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n50, Private,195298, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n69, Private,541737, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,2050,0,24, United-States, <=50K\n84, Private,241065, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,66, United-States, <=50K\n47, Private,129513, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n19, Private,374262, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n24, Private,382146, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n48, ?,185291, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K\n53, Private,30447, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K\n58, Private,49893, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n22, Private,197387, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,24, Mexico, <=50K\n36, Self-emp-not-inc,111957, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, <=50K\n34, Private,340458, 12th,8, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,185670, 1st-4th,2, Widowed, Prof-specialty, Unmarried, White, Female,0,0,21, Mexico, <=50K\n37, Private,210945, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,24, United-States, <=50K\n43, Private,350661, Prof-school,15, Separated, Tech-support, Not-in-family, White, Male,0,0,50, Columbia, >50K\n42, Private,190543, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n21, Private,70261, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n49, Self-emp-not-inc,179048, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Greece, <=50K\n35, Private,242094, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,117634, Some-college,10, Widowed, Craft-repair, Unmarried, White, Female,0,0,30, United-States, <=50K\n28, Private,82531, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n51, Private,193374, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n30, ?,186420, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,323605, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, >50K\n56, Private,371064, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,39927, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,8, United-States, <=50K\n22, Private,64292, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,37, United-States, <=50K\n33, Private,198660, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,99999,0,56, United-States, >50K\n54, ?,196975, HS-grad,9, Divorced, ?, Other-relative, White, Male,0,0,45, United-States, <=50K\n22, Private,210165, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n68, Private,144137, Some-college,10, Divorced, Priv-house-serv, Other-relative, White, Female,0,0,30, United-States, <=50K\n56, Local-gov,155657, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, ?,72953, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n69, Self-emp-not-inc,107548, 9th,5, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,163258, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,221324, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n18, Private,444822, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,8, Mexico, <=50K\n17, Private,154398, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,16, Haiti, <=50K\n31, Private,120672, 11th,7, Divorced, Handlers-cleaners, Other-relative, Black, Male,0,1721,40, United-States, <=50K\n50, Private,159650, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, >50K\n62, Private,290754, 10th,6, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,49654, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,52, United-States, <=50K\n20, Federal-gov,147352, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,227943, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n18, Private,423024, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n53, ?,64322, 7th-8th,4, Separated, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,445940, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n23, Private,230824, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,48882, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n47, Private,168195, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n53, Local-gov,188644, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n28, Private,136077, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, State-gov,119793, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,336513, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n58, Private,186991, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n25, ?,218948, 7th-8th,4, Never-married, ?, Not-in-family, White, Female,0,0,32, Mexico, <=50K\n26, Private,211435, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,280169, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,3456,0,8, United-States, <=50K\n27, Private,109997, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,286789, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,102460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,287160, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n39, Private,198097, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n52, Private,119111, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,174461, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n26, Self-emp-not-inc,281678, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n24, ?,377725, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,151053, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n49, Local-gov,186539, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n20, ?,149478, Some-college,10, Never-married, ?, Other-relative, White, Female,0,0,25, United-States, <=50K\n40, Private,198452, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,198863, Prof-school,15, Divorced, Exec-managerial, Not-in-family, White, Male,0,2559,60, United-States, >50K\n33, Private,176711, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,165310, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male,0,0,20, United-States, <=50K\n37, Private,213008, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Japan, <=50K\n21, State-gov,38251, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,20, United-States, <=50K\n33, Private,125761, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,36, United-States, <=50K\n28, Private,148645, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,273435, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,40, United-States, <=50K\n43, Private,208613, Bachelors,13, Separated, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,192565, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,183885, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n47, Self-emp-not-inc,243631, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n37, Private,191754, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,261278, Some-college,10, Separated, Sales, Other-relative, Black, Male,0,0,30, United-States, <=50K\n55, Private,127014, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K\n40, Private,197919, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,217460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,86551, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n54, Self-emp-inc,98051, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,54, United-States, >50K\n38, Private,215917, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n53, Self-emp-not-inc,192982, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,85, United-States, <=50K\n27, Self-emp-not-inc,334132, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,78, United-States, <=50K\n42, Private,136986, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n62, Private,116812, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,189123, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1485,58, United-States, <=50K\n26, Private,89648, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n33, ?,190027, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,20, United-States, <=50K\n59, Private,99248, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,57600, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n25, Private,199224, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n58, Private,140363, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,36, United-States, <=50K\n30, Private,308812, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n21, Private,275421, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K\n61, Private,213321, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,157747, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,182314, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n70, Private,220589, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,12, United-States, <=50K\n55, ?,208640, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K\n29, Self-emp-not-inc,189346, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,2202,0,50, United-States, <=50K\n46, Private,124071, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,44, United-States, <=50K\n35, Federal-gov,20469, Some-college,10, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n31, Private,154227, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, >50K\n37, Private,105044, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n43, Private,35910, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, >50K\n23, Private,189203, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,116493, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,13550,0,44, United-States, >50K\n42, Local-gov,19700, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n26, Private,48718, 10th,6, Never-married, Adm-clerical, Not-in-family, White, Female,2907,0,40, United-States, <=50K\n45, Private,106113, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,256263, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n33, ?,202498, 7th-8th,4, Separated, ?, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n38, Private,120074, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,122922, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n68, Self-emp-not-inc,116903, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2149,40, United-States, <=50K\n42, Local-gov,222596, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,107302, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, India, <=50K\n36, Private,156400, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,53373, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n22, Private,58916, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n45, Local-gov,167159, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,283806, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Private,140426, 1st-4th,2, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,35, ?, <=50K\n36, Local-gov,61778, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n41, Private,33310, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Self-emp-not-inc,202560, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K\n25, Self-emp-not-inc,60828, Some-college,10, Never-married, Farming-fishing, Own-child, White, Female,0,0,50, United-States, <=50K\n53, State-gov,153486, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n28, Local-gov,167536, Assoc-acdm,12, Widowed, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n30, Local-gov,370990, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,198867, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,174924, Some-college,10, Divorced, Protective-serv, Unmarried, White, Male,0,0,48, Germany, <=50K\n30, Private,175856, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, <=50K\n41, Private,169628, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, ?, <=50K\n29, ?,125159, Some-college,10, Never-married, ?, Not-in-family, Black, Male,0,0,36, ?, <=50K\n31, Private,220690, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,80, United-States, <=50K\n36, Private,160035, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3908,0,55, United-States, <=50K\n59, Self-emp-not-inc,116878, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Greece, <=50K\n33, Self-emp-not-inc,134737, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n29, Private,81648, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1887,55, United-States, >50K\n49, State-gov,122177, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n50, Federal-gov,69614, 10th,6, Separated, Craft-repair, Not-in-family, White, Male,0,0,56, United-States, <=50K\n33, Private,112115, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,45, United-States, >50K\n28, Private,299422, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n81, ?,162882, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n24, Private,112854, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,16, United-States, <=50K\n32, Self-emp-not-inc,33417, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n47, Federal-gov,224559, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K\n44, ?,468706, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n24, Private,357028, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,51158, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,7298,0,36, United-States, >50K\n51, Private,186303, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,127749, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n22, Private,291386, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,138054, Assoc-acdm,12, Never-married, Other-service, Not-in-family, Other, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,174533, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,200835, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,108658, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n43, Private,180985, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n25, Private,34803, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K\n59, Private,75867, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n29, Private,156819, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K\n30, Private,61272, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Portugal, <=50K\n24, Private,39827, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female,0,0,40, Puerto-Rico, <=50K\n38, Private,130007, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,80324, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n26, Private,322614, Preschool,1, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,1719,40, Mexico, <=50K\n30, Private,140869, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n73, Local-gov,181902, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,10, Poland, >50K\n30, Private,287908, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Private,309630, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,28225, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,58, United-States, <=50K\n40, ?,428584, HS-grad,9, Married-civ-spouse, ?, Wife, Black, Female,3464,0,20, United-States, <=50K\n18, Private,39222, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,359131, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298,0,8, ?, >50K\n22, Private,122272, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Self-emp-inc,198400, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, <=50K\n62, ?,73091, 7th-8th,4, Widowed, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, Self-emp-inc,283338, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n22, Private,208946, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,348416, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Private,379046, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n29, Private,183887, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,127961, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n24, Private,211129, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n29, Local-gov,187649, HS-grad,9, Separated, Protective-serv, Other-relative, White, Female,0,0,40, United-States, <=50K\n49, Federal-gov,94754, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,231826, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n28, Private,142764, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K\n22, Private,126822, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,60, United-States, <=50K\n37, Private,188069, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,284395, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n49, Private,31267, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,161444, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Columbia, <=50K\n25, Private,144483, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,133655, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, State-gov,112074, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n21, Private,249727, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,22, United-States, <=50K\n18, Private,165754, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n30, Local-gov,172822, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,288433, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n40, Private,33331, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n43, Private,168071, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, <=50K\n45, Private,207277, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n29, Private,130620, Some-college,10, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Female,0,0,26, India, <=50K\n40, Private,136244, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n43, Private,972354, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,48, United-States, <=50K\n20, Private,245297, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n32, State-gov,71151, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, <=50K\n19, Private,118352, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n21, Private,117210, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,120068, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,48343, 11th,7, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n52, Private,84451, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K\n51, ?,76437, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,281704, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n54, Private,123011, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n50, Private,104729, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Female,0,0,48, United-States, <=50K\n29, Private,110134, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Private,186067, 10th,6, Never-married, Tech-support, Own-child, White, Male,0,0,10, United-States, <=50K\n47, Private,214702, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,37, Puerto-Rico, <=50K\n46, Private,384795, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,32, United-States, <=50K\n30, Private,175931, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,44, United-States, <=50K\n58, Private,366324, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K\n48, Private,118717, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n23, Private,219835, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, Mexico, <=50K\n23, Private,176486, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,36, United-States, <=50K\n45, Private,273435, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,182661, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,20, United-States, <=50K\n26, Private,212304, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K\n50, Local-gov,133963, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, >50K\n49, Private,165152, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K\n26, Private,274724, Some-college,10, Never-married, Other-service, Other-relative, White, Male,0,0,40, Nicaragua, <=50K\n47, Private,196707, Prof-school,15, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,213002, 12th,8, Never-married, Sales, Not-in-family, White, Male,4650,0,50, United-States, <=50K\n19, ?,26620, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,361481, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K\n35, Private,148581, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n46, Private,459189, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,50, United-States, >50K\n28, Self-emp-not-inc,214689, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Private,289364, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, United-States, >50K\n21, Private,174907, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,348099, 10th,6, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n30, ?,104965, 9th,5, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n31, Private,31600, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,286282, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K\n35, Self-emp-not-inc,181705, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K\n33, Private,238912, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n34, Private,134737, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,55, United-States, >50K\n67, ?,157403, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,6418,0,10, United-States, >50K\n37, Private,197429, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, >50K\n48, Private,47343, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n34, Federal-gov,67083, Bachelors,13, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,1471,0,40, Cambodia, <=50K\n24, Private,249957, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,175942, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,40, France, <=50K\n50, Private,192982, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,1848,40, United-States, >50K\n40, Private,209547, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,60, United-States, >50K\n33, Private,142675, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n51, Federal-gov,190333, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,196396, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,166740, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Local-gov,174533, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,210867, 7th-8th,4, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, ?, <=50K\n37, Private,118486, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,4934,0,32, United-States, >50K\n40, Private,144067, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,106964, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,178136, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n38, Private,196554, Prof-school,15, Separated, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, >50K\n40, Self-emp-not-inc,403550, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,498216, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,192755, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,20, United-States, >50K\n20, ?,53738, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K\n33, Private,156192, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n45, Private,189802, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, ?,213149, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,1825,40, United-States, >50K\n35, Self-emp-not-inc,179171, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,38, Germany, <=50K\n32, Private,77634, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n23, Private,189830, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,50, United-States, <=50K\n19, Private,127190, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n44, ?,174147, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,138107, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,35, United-States, <=50K\n44, Self-emp-inc,269733, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n41, State-gov,227734, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,3464,0,40, United-States, <=50K\n19, Private,318822, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n48, Private,48885, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n45, Private,205424, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n40, Private,173858, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,42, Cambodia, <=50K\n34, Private,202450, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n20, Private,154779, Some-college,10, Never-married, Sales, Other-relative, Other, Female,0,0,40, United-States, <=50K\n33, Private,180551, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,177522, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n23, Private,277328, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,32, Cuba, <=50K\n34, Private,112584, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K\n48, State-gov,85384, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n32, ?,123971, 11th,7, Divorced, ?, Not-in-family, White, Female,0,0,49, United-States, <=50K\n42, Private,69019, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n22, Private,112847, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,52900, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K\n42, Private,37937, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n45, Private,59380, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n47, Private,114770, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K\n29, Private,216481, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n34, Private,176469, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K\n34, Private,176831, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K\n39, Federal-gov,410034, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,93662, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,24, United-States, <=50K\n42, Self-emp-inc,144236, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n48, Private,240917, 11th,7, Separated, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n53, Private,608184, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1902,40, United-States, >50K\n51, Private,243361, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n44, Self-emp-not-inc,35166, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,90, United-States, <=50K\n46, Self-emp-inc,182655, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n51, Private,142717, Doctorate,16, Divorced, Craft-repair, Not-in-family, White, Female,4787,0,60, United-States, >50K\n32, Private,272944, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, ?,219233, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,1602,30, United-States, <=50K\n24, Private,228686, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K\n33, Private,236818, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,26, United-States, <=50K\n47, Self-emp-not-inc,117865, HS-grad,9, Married-AF-spouse, Craft-repair, Husband, White, Male,0,0,90, United-States, <=50K\n64, Self-emp-not-inc,106538, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n62, Private,153891, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,190909, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,191002, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, Poland, <=50K\n42, Private,89073, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K\n38, Federal-gov,238342, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,42, United-States, >50K\n55, Private,259532, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n29, ?,189282, HS-grad,9, Married-civ-spouse, ?, Not-in-family, White, Female,0,0,27, United-States, <=50K\n42, Private,132481, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,24, United-States, <=50K\n30, Private,205659, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, Thailand, >50K\n32, Private,182323, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, ?,216256, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,3464,0,30, United-States, <=50K\n50, Federal-gov,166419, 11th,7, Never-married, Sales, Not-in-family, Black, Female,3674,0,40, United-States, <=50K\n27, Private,152246, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n47, Private,155659, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n33, Private,155198, 9th,5, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,35, United-States, <=50K\n48, Self-emp-not-inc,100931, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,162945, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n31, Federal-gov,334346, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,181597, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,133969, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,63, South, <=50K\n50, Private,210217, Bachelors,13, Divorced, Sales, Unmarried, Black, Male,0,0,40, United-States, <=50K\n49, Private,169711, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Germany, >50K\n57, ?,300104, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,7298,0,84, United-States, >50K\n19, Private,271521, HS-grad,9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,24, United-States, <=50K\n18, Private,51255, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n44, Self-emp-not-inc,26669, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,99, United-States, <=50K\n54, Private,194580, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n35, State-gov,177974, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n27, State-gov,315640, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,20, China, <=50K\n50, Self-emp-inc,136913, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n43, State-gov,230961, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,167062, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n47, Private,120131, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,243368, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, Mexico, <=50K\n30, Private,171876, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n19, Private,136866, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K\n40, Private,316820, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,1485,40, United-States, <=50K\n55, Private,185459, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n67, ?,81761, HS-grad,9, Divorced, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n31, Private,43716, Assoc-voc,11, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,43, United-States, <=50K\n30, Private,220939, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, ?,148657, Preschool,1, Married-civ-spouse, ?, Wife, White, Female,0,0,40, Mexico, <=50K\n51, Federal-gov,40808, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0,0,43, United-States, <=50K\n34, Private,183473, HS-grad,9, Divorced, Transport-moving, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Private,108496, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n50, Private,204838, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K\n29, Private,132686, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n17, State-gov,117906, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,304386, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n52, ?,248113, Preschool,1, Married-spouse-absent, ?, Other-relative, White, Male,0,0,40, Mexico, <=50K\n39, Private,165215, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,18, United-States, >50K\n18, ?,215463, 12th,8, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n32, Private,259719, Some-college,10, Divorced, Handlers-cleaners, Unmarried, Black, Male,0,0,40, Nicaragua, <=50K\n25, ?,35829, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,50, United-States, <=50K\n34, Private,248795, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,45, United-States, <=50K\n44, Self-emp-not-inc,124692, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n37, Local-gov,128054, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,179731, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,2415,65, United-States, >50K\n32, Self-emp-inc,113543, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,252153, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K\n45, Federal-gov,45891, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Male,0,0,42, United-States, <=50K\n30, Private,112263, 11th,7, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,47791, 12th,8, Divorced, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K\n41, Private,202980, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,4, Peru, <=50K\n21, Private,34918, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n48, Private,91251, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,30, China, <=50K\n31, Private,132996, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,45, United-States, >50K\n34, Private,306215, Assoc-voc,11, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n25, Private,203570, HS-grad,9, Separated, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,355918, Bachelors,13, Separated, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n35, Self-emp-not-inc,198841, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n42, Private,282964, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,312197, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,75, Mexico, >50K\n44, Private,98779, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,60, United-States, <=50K\n32, Private,200246, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,182771, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n23, Private,199908, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,172104, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Other, Male,0,0,40, India, >50K\n53, Self-emp-not-inc,35295, Bachelors,13, Never-married, Sales, Unmarried, White, Male,0,0,60, United-States, >50K\n27, Private,216858, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,52, United-States, <=50K\n27, Private,332187, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,65, United-States, <=50K\n57, Private,255109, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n17, Private,111332, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n59, Local-gov,238431, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n34, Private,131552, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Private,110239, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n31, State-gov,255830, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Black, Female,0,0,45, United-States, <=50K\n18, ?,175648, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,82998, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n19, Private,164320, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Self-emp-not-inc,263498, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,162381, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,229651, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,357348, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K\n19, Private,269657, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n38, Local-gov,82880, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,15, United-States, <=50K\n19, Private,389755, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K\n34, Private,195136, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,40, United-States, >50K\n41, Private,207685, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, ?, <=50K\n23, Private,222925, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,2105,0,40, United-States, <=50K\n24, ?,196388, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,0,0,12, United-States, <=50K\n24, Private,50341, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,214134, 10th,6, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,84, United-States, <=50K\n45, Private,114032, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n45, Private,192053, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n48, Private,240231, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, >50K\n42, Private,44402, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n35, Self-emp-not-inc,191503, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,163530, HS-grad,9, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n51, Local-gov,136823, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,32, United-States, <=50K\n59, Private,121912, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n31, Local-gov,58624, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Local-gov,74056, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Private,144259, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,4386,0,80, ?, >50K\n57, Private,182028, Assoc-acdm,12, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n40, Private,209040, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,206046, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,182494, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,185057, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,35, Scotland, <=50K\n60, Private,147473, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n53, Local-gov,221722, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,14344,0,50, United-States, >50K\n20, ?,388811, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,221912, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,48189, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n29, State-gov,382272, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,48347, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,143046, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,38, United-States, >50K\n63, Self-emp-inc,137940, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n28, Private,249571, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n79, Private,121318, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,20, United-States, <=50K\n39, Private,224531, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n29, Private,185019, 12th,8, Never-married, Other-service, Not-in-family, Other, Male,0,0,40, United-States, <=50K\n60, Private,27886, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Private,94741, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,24, United-States, <=50K\n20, Private,107801, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,2205,18, United-States, <=50K\n44, Private,191256, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K\n47, Private,256866, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n59, Private,197148, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,24, United-States, >50K\n37, Private,312271, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, <=50K\n21, Private,118657, HS-grad,9, Separated, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n68, Private,224338, Assoc-voc,11, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,242488, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,5013,0,40, United-States, <=50K\n23, ?,234970, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n23, Private,227915, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,0,0,33, United-States, <=50K\n40, Local-gov,105717, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,1876,35, United-States, <=50K\n45, Self-emp-not-inc,160962, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n34, ?,353881, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,3103,0,60, United-States, >50K\n22, Private,188950, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,201328, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,218678, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,49, United-States, <=50K\n23, Private,184255, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n39, Federal-gov,200968, Some-college,10, Married-civ-spouse, Adm-clerical, Other-relative, White, Male,0,0,45, United-States, >50K\n26, Private,102264, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,300584, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n22, Private,208946, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K\n36, Private,105021, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n20, Private,124751, Some-college,10, Never-married, Priv-house-serv, Own-child, White, Female,0,0,20, United-States, <=50K\n18, Private,274057, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,8, United-States, <=50K\n38, Private,132879, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n43, Self-emp-inc,260960, Bachelors,13, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,35, United-States, <=50K\n56, Private,208415, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,40, ?, <=50K\n42, Private,356934, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,154410, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,35378, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n73, Private,301210, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1735,20, United-States, <=50K\n32, Private,73621, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,42, United-States, <=50K\n37, Private,108140, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K\n66, Private,217198, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,10, United-States, <=50K\n22, Private,157332, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n51, Private,202956, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,173495, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n65, Private,149811, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,2206,59, Canada, <=50K\n39, Private,444219, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, Black, Female,0,0,45, United-States, <=50K\n48, Private,125120, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,37, United-States, <=50K\n20, Private,190429, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, ?,190303, Assoc-acdm,12, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K\n48, Private,248164, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,4386,0,50, United-States, >50K\n29, Federal-gov,208534, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, <=50K\n36, Self-emp-not-inc,343721, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, ?, >50K\n35, Self-emp-inc,196373, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n31, Private,433788, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n48, State-gov,122086, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,137314, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K\n40, Self-emp-not-inc,33068, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n57, Private,210688, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, <=50K\n26, Local-gov,117833, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,4865,0,35, United-States, <=50K\n37, State-gov,103474, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n65, Private,115880, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n26, Self-emp-not-inc,233933, 10th,6, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K\n42, Private,52781, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,586657, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Japan, >50K\n62, Private,113080, 7th-8th,4, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,251905, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,50, United-States, <=50K\n76, Self-emp-not-inc,225964, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,8, United-States, <=50K\n20, ?,194096, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,263831, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,133136, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,121634, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K\n22, Self-emp-inc,40767, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Federal-gov,355789, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,50, United-States, <=50K\n43, Local-gov,311914, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,91189, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n44, Federal-gov,344060, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,113823, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, State-gov,185800, Masters,14, Divorced, Prof-specialty, Unmarried, Black, Female,7430,0,40, United-States, >50K\n30, Private,76107, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, >50K\n23, Private,117618, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n39, Private,238008, HS-grad,9, Widowed, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Private,136480, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n50, Private,285200, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,35, United-States, >50K\n19, Private,351040, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Puerto-Rico, <=50K\n35, Private,1226583, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K\n23, Private,195767, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,187540, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,79372, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,226665, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,42, United-States, >50K\n52, Private,213209, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,211005, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,60, United-States, <=50K\n24, Private,96178, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Private,328216, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n39, Private,110713, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n45, Self-emp-not-inc,225456, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n62, Local-gov,159908, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1258,38, United-States, <=50K\n43, Private,118308, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n45, Private,180309, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,39630, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,273828, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n56, Private,172071, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, Jamaica, <=50K\n28, Private,218887, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Female,0,0,35, United-States, <=50K\n23, Private,664670, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n43, Private,209149, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n26, Private,84619, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,447346, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n55, Local-gov,37869, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n48, State-gov,99086, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n43, Private,143582, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,2129,72, ?, <=50K\n38, Private,326886, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n18, Private,181755, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n56, Self-emp-not-inc,249368, HS-grad,9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, <=50K\n39, Self-emp-not-inc,326400, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,504725, 5th-6th,3, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,50, Mexico, <=50K\n36, Private,88967, 11th,7, Never-married, Transport-moving, Unmarried, Amer-Indian-Eskimo, Male,0,0,65, United-States, <=50K\n42, Self-emp-not-inc,170721, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2002,40, United-States, <=50K\n50, Private,148953, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,342752, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n57, Private,220871, 7th-8th,4, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n73, Private,29675, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,0,12, United-States, <=50K\n50, Federal-gov,183611, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,115215, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,45, United-States, <=50K\n27, Private,152231, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n24, ?,41356, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,225142, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Self-emp-not-inc,121313, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,134821, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Private,311350, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,102106, 10th,6, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n47, Private,427055, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, Mexico, <=50K\n40, Private,117860, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n58, Private,285885, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,212800, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,194864, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,18, United-States, <=50K\n36, Private,31438, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,43, United-States, <=50K\n46, Private,148254, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K\n69, Private,113035, 1st-4th,2, Widowed, Priv-house-serv, Not-in-family, Black, Female,0,0,4, United-States, <=50K\n69, Private,106595, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,1848,0,40, United-States, <=50K\n28, Private,144521, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n20, Private,172232, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,48, United-States, <=50K\n54, State-gov,123592, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,3887,0,35, United-States, <=50K\n25, Private,191921, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n64, Local-gov,237379, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3471,0,40, United-States, <=50K\n17, Private,208463, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n53, Federal-gov,68985, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,22418, 9th,5, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n57, Private,163047, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,38, United-States, <=50K\n51, Private,153870, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2603,40, United-States, <=50K\n20, ?,124954, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n47, Private,197702, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,166415, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,52, United-States, <=50K\n50, State-gov,116211, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, >50K\n20, Private,33644, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n43, State-gov,33331, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,70, United-States, >50K\n46, Private,73019, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,169182, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, Puerto-Rico, <=50K\n53, Private,20438, Some-college,10, Separated, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,15, United-States, <=50K\n21, Private,109869, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K\n58, Private,316849, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,208043, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n61, Private,153790, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n56, State-gov,153451, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n59, Private,96840, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n72, Private,192732, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,20, United-States, <=50K\n33, Private,209101, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,146919, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n46, Local-gov,192323, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, >50K\n48, Private,217019, HS-grad,9, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,28, United-States, <=50K\n33, Private,198211, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,222490, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,106758, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n31, Private,561334, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,203710, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Local-gov,203322, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n51, Private,123703, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,40, United-States, >50K\n46, State-gov,312015, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n25, Private,209428, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, El-Salvador, <=50K\n61, Private,230292, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,40, United-States, >50K\n17, Private,114420, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n26, Private,120238, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n35, Private,100375, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n33, Self-emp-not-inc,42485, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n37, Private,130620, 12th,8, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,33, ?, <=50K\n39, Local-gov,134367, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n42, Private,147099, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n35, Private,36214, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,47, United-States, >50K\n45, Private,119904, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,50, United-States, >50K\n47, Self-emp-inc,105779, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, >50K\n64, Private,165020, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n39, Private,187098, Prof-school,15, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,47, United-States, >50K\n43, ?,142030, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,241360, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K\n62, Private,121319, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K\n53, Private,151580, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n31, Private,162572, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,35917, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-inc,35723, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n43, Private,194773, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,62155, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n45, Self-emp-not-inc,192203, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, >50K\n46, Private,174370, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n26, Private,161007, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,80, United-States, <=50K\n24, Private,270517, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, Mexico, <=50K\n43, Private,163847, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n40, Private,193882, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n61, Private,160037, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n34, Federal-gov,189944, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,72, United-States, <=50K\n85, Private,115364, HS-grad,9, Widowed, Sales, Unmarried, White, Male,0,0,35, United-States, <=50K\n41, Private,163174, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, State-gov,188900, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,3325,0,35, United-States, <=50K\n22, Private,214399, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n60, Private,156616, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n29, Private,204862, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K\n34, ?,55921, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n35, State-gov,172475, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,2977,0,45, United-States, <=50K\n24, Private,153082, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n45, Local-gov,195418, Masters,14, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n21, Local-gov,276840, 12th,8, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n30, Private,97933, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Wife, White, Female,0,1485,37, United-States, >50K\n50, Self-emp-inc,119099, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, >50K\n41, Self-emp-not-inc,83411, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,198992, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,33, United-States, <=50K\n45, Private,337825, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n34, Private,192002, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,189346, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,231962, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n26, Private,164488, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,13550,0,50, United-States, >50K\n48, Private,200471, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n69, Private,228921, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Male,0,2282,40, United-States, >50K\n41, Private,184846, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,233851, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,499001, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, Mexico, <=50K\n65, Local-gov,125768, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,28, United-States, <=50K\n31, Private,255004, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1741,38, United-States, <=50K\n28, Private,157624, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,146767, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,118291, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,80, United-States, <=50K\n43, Private,313181, HS-grad,9, Divorced, Adm-clerical, Other-relative, Black, Male,0,0,38, United-States, <=50K\n31, Private,87891, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,226443, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n45, Private,81132, Some-college,10, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n20, Private,216436, Bachelors,13, Never-married, Sales, Other-relative, Black, Female,0,0,30, United-States, <=50K\n25, Private,213412, Bachelors,13, Never-married, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Private,179358, HS-grad,9, Widowed, Handlers-cleaners, Unmarried, White, Female,0,0,30, United-States, <=50K\n31, Private,369825, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,4101,0,50, United-States, <=50K\n56, Private,199763, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n26, Private,239390, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,18, United-States, <=50K\n47, Self-emp-not-inc,173613, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,65, United-States, <=50K\n40, Self-emp-inc,37869, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,302845, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,48, United-States, <=50K\n34, State-gov,85218, Masters,14, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,24, United-States, <=50K\n37, Private,48268, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n38, Private,173968, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n19, Private,70982, Assoc-voc,11, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,16, United-States, <=50K\n49, Private,166857, 9th,5, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, ?,256191, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,25, United-States, <=50K\n26, Private,162872, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n82, Private,152148, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,2, United-States, <=50K\n40, Private,139193, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,791084, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n23, Private,137214, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,37, United-States, <=50K\n19, Private,183258, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n67, Private,154035, HS-grad,9, Widowed, Handlers-cleaners, Other-relative, Black, Male,0,0,32, United-States, <=50K\n43, Private,115323, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,40, United-States, >50K\n41, Private,213055, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Other, Female,0,0,50, United-States, <=50K\n37, Private,155064, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,33551, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,169995, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n47, Private,168262, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,99999,0,50, United-States, >50K\n40, Private,104196, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n39, State-gov,114055, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,274398, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K\n78, ?,27979, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2228,0,32, United-States, <=50K\n67, ?,244122, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,1, United-States, <=50K\n49, Private,196571, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n66, Private,101607, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,10, United-States, <=50K\n52, Private,122109, HS-grad,9, Never-married, Prof-specialty, Unmarried, White, Female,0,323,40, United-States, <=50K\n59, Self-emp-inc,255822, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n72, Private,195184, HS-grad,9, Widowed, Priv-house-serv, Unmarried, White, Female,0,0,12, Cuba, <=50K\n35, Federal-gov,245372, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,169583, Bachelors,13, Married-AF-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n36, Private,224531, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,186151, HS-grad,9, Separated, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,118693, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n39, Private,297449, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-not-inc,125206, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,393264, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,108140, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n63, Private,264968, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,318106, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,156025, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, State-gov,149455, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n25, Private,359985, 5th-6th,3, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,33, Mexico, <=50K\n44, State-gov,165108, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,115178, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n21, Private,149224, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K\n41, Local-gov,352056, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,174717, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n75, ?,173064, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K\n29, Private,147755, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,40, United-States, <=50K\n52, Self-emp-not-inc,135716, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n47, Private,44216, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n28, Private,37359, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n24, Private,178255, Some-college,10, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,40, ?, <=50K\n30, State-gov,70617, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,10, China, <=50K\n30, Private,154950, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n40, Private,356934, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n27, Private,271714, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n26, Private,247025, HS-grad,9, Never-married, Protective-serv, Unmarried, White, Male,0,0,44, United-States, <=50K\n32, Private,107417, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K\n36, State-gov,116554, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,917220, 12th,8, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n25, Private,430084, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, Private,202937, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, Poland, <=50K\n27, Private,62737, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,508548, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n38, Self-emp-inc,275223, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n35, Self-emp-not-inc,381931, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n29, Private,246974, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,105431, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n36, Private,146311, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,159869, Doctorate,16, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n21, Private,204641, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,66297, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K\n38, Private,227615, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n66, ?,107744, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,360393, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n19, Private,263340, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n18, Private,141918, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,22, United-States, <=50K\n37, Private,294292, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,128736, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Local-gov,511289, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, >50K\n27, Private,302406, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n34, Local-gov,101517, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n54, State-gov,161334, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, China, <=50K\n24, Self-emp-inc,189148, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,103111, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n48, Self-emp-not-inc,51620, Bachelors,13, Separated, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n23, Private,31606, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,34292, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,38, United-States, <=50K\n21, Private,107882, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,9, United-States, <=50K\n18, Private,39529, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K\n18, Private,135315, 9th,5, Never-married, Sales, Own-child, Other, Female,0,0,32, United-States, <=50K\n29, Private,107812, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,229729, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,111891, HS-grad,9, Separated, Machine-op-inspct, Other-relative, Black, Female,0,0,40, United-States, <=50K\n32, Private,340917, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Private,202952, 10th,6, Divorced, Other-service, Not-in-family, Black, Female,0,0,24, United-States, <=50K\n79, Private,333230, HS-grad,9, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,6, United-States, <=50K\n34, Private,114955, Assoc-acdm,12, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,159869, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n50, Self-emp-not-inc,57758, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n29, Private,207064, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,193090, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,3674,0,40, United-States, <=50K\n64, Private,151364, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n70, Local-gov,88638, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,7896,0,50, United-States, >50K\n28, Local-gov,304960, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,1980,40, United-States, <=50K\n51, Private,102828, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Greece, <=50K\n20, ?,210029, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n34, State-gov,154246, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,4865,0,55, United-States, <=50K\n29, Private,142519, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Private,104455, Bachelors,13, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n77, Self-emp-inc,192230, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,292592, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n27, Private,330132, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n22, Private,51111, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Local-gov,258037, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Cuba, >50K\n42, Local-gov,188291, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,40, United-States, >50K\n35, State-gov,349066, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n62, ?,191188, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,133503, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,2635,0,16, United-States, <=50K\n45, Private,146497, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K\n19, Private,240468, Some-college,10, Married-spouse-absent, Sales, Own-child, White, Female,0,1602,40, United-States, <=50K\n38, Private,175120, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,416577, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,45, United-States, <=50K\n29, Private,253814, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n33, Private,159247, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n35, Self-emp-not-inc,102471, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,80, Puerto-Rico, <=50K\n42, Private,213464, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,211968, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n43, Federal-gov,32016, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n69, Private,512992, 11th,7, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,45, United-States, <=50K\n39, Private,135020, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,109133, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Portugal, <=50K\n28, Private,142712, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Federal-gov,76900, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,112176, Some-college,10, Divorced, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n43, Federal-gov,262233, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n49, Private,122066, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, Hungary, <=50K\n28, Private,194690, 7th-8th,4, Separated, Other-service, Own-child, White, Male,0,0,60, Mexico, <=50K\n35, Private,306678, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2885,0,40, United-States, <=50K\n19, ?,217769, Some-college,10, Never-married, ?, Own-child, White, Female,594,0,10, United-States, <=50K\n35, Local-gov,308945, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,46699, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n45, Private,377757, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,220993, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,1590,48, United-States, <=50K\n45, Private,102147, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,113770, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n35, Private,139012, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n45, Private,148900, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n28, Federal-gov,329426, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n64, Self-emp-inc,181408, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K\n44, Local-gov,101950, Prof-school,15, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,32537, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,209547, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,202373, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,25, United-States, <=50K\n29, Self-emp-not-inc,151476, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,2174,0,40, United-States, <=50K\n51, Self-emp-not-inc,174824, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,8614,0,40, United-States, >50K\n22, Private,138768, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Private,143482, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n53, Private,200190, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, >50K\n38, Private,168407, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,5721,0,44, United-States, <=50K\n23, Private,148315, Some-college,10, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,270517, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, Mexico, <=50K\n40, Private,53506, Bachelors,13, Divorced, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,105693, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,189589, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,164574, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n37, Private,185744, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,20, United-States, <=50K\n40, Local-gov,33155, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,215955, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,40, United-States, >50K\n38, Self-emp-not-inc,233571, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,211253, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Federal-gov,191385, Assoc-acdm,12, Divorced, Protective-serv, Not-in-family, White, Male,2174,0,40, United-States, <=50K\n20, Private,137895, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n62, State-gov,159699, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K\n31, Private,295922, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,175856, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n24, Private,216129, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n62, Local-gov,407669, 7th-8th,4, Widowed, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n43, Local-gov,214242, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,285457, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K\n30, Self-emp-inc,124420, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n22, ?,246386, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n18, Private,142751, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Local-gov,283635, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Self-emp-not-inc,322931, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,40, United-States, >50K\n49, Private,76482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, State-gov,431745, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n48, Private,141944, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,40, United-States, >50K\n32, Private,193042, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K\n33, Private,67006, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,45, United-States, <=50K\n23, Private,240398, Bachelors,13, Never-married, Sales, Not-in-family, Black, Male,0,0,15, United-States, <=50K\n33, Federal-gov,182714, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,65, United-States, >50K\n50, Federal-gov,172046, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,185177, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, <=50K\n32, Private,102858, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2002,42, United-States, <=50K\n39, Private,84954, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,2829,0,65, United-States, <=50K\n21, Private,115895, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n23, Private,184589, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,21, United-States, <=50K\n32, Private,282611, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Private,218649, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n22, State-gov,157541, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,10, United-States, <=50K\n70, Private,145419, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,5, United-States, <=50K\n34, Private,122616, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,84, United-States, >50K\n53, Private,204584, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,117210, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K\n37, Private,69481, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,148492, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,50, United-States, >50K\n23, Private,106957, 11th,7, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,14344,0,40, Vietnam, >50K\n32, Private,29312, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, >50K\n57, Private,120302, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n65, ?,111916, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,182227, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n30, Private,219110, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K\n31, Private,200192, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Germany, <=50K\n19, Private,427862, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n23, State-gov,33551, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, <=50K\n44, Private,164043, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n43, ?,116632, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, >50K\n42, Private,175133, Some-college,10, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,289731, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,256362, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,282612, Assoc-voc,11, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n21, Private,73679, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,237824, HS-grad,9, Married-spouse-absent, Priv-house-serv, Other-relative, Black, Female,0,0,60, Jamaica, <=50K\n36, Local-gov,357720, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,155489, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, Poland, <=50K\n44, Private,138077, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K\n42, Private,183479, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,103596, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,99, United-States, <=50K\n33, Private,172304, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,313853, Bachelors,13, Divorced, Other-service, Unmarried, Black, Male,0,0,45, United-States, >50K\n17, Private,294485, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n20, Private,637080, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K\n32, Private,385959, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n33, Self-emp-not-inc,116539, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,129263, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,60, United-States, <=50K\n60, Private,141253, 10th,6, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,48, United-States, <=50K\n35, State-gov,35626, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,15, United-States, <=50K\n43, Federal-gov,94937, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,220269, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n29, Self-emp-not-inc,169544, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,40, United-States, >50K\n36, Private,214604, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, >50K\n27, Private,81540, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,24013, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,84, United-States, >50K\n22, Private,124940, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0,0,44, United-States, <=50K\n33, State-gov,313729, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n61, Private,192237, 10th,6, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, ?,168524, Assoc-voc,11, Married-civ-spouse, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,113324, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, >50K\n22, Private,215477, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,199903, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,431861, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,105938, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,1602,20, United-States, <=50K\n28, Private,274679, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n25, Private,177499, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,1590,35, United-States, <=50K\n28, Private,206125, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,221740, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K\n58, Private,202652, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K\n39, Private,348960, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,171876, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n59, Private,157932, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n58, Private,201344, Bachelors,13, Divorced, Craft-repair, Own-child, White, Female,0,0,20, United-States, <=50K\n38, Private,354739, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,36, Philippines, >50K\n34, Private,40067, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,326862, Some-college,10, Divorced, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n48, Local-gov,189762, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n65, ?,149049, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,226246, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n80, ?,29020, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,10605,0,10, United-States, >50K\n23, Private,38251, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n33, Private,196385, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, >50K\n38, Self-emp-not-inc,217054, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,104973, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n48, Local-gov,238959, Masters,14, Divorced, Exec-managerial, Unmarried, Black, Female,9562,0,40, United-States, >50K\n40, State-gov,34218, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Local-gov,292962, HS-grad,9, Never-married, Craft-repair, Other-relative, Black, Female,0,0,40, United-States, <=50K\n45, Private,235924, Bachelors,13, Divorced, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,98656, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n70, Private,102610, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,80, United-States, <=50K\n32, Local-gov,296466, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n33, Private,323069, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,184756, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Local-gov,233993, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K\n22, Private,130724, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,25, United-States, <=50K\n52, Self-emp-inc,181855, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Other, Male,99999,0,65, United-States, >50K\n67, Self-emp-not-inc,127543, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,2414,0,80, United-States, <=50K\n40, Private,187164, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,45, United-States, <=50K\n55, Private,113912, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, <=50K\n29, Private,216479, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n62, Private,135480, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,16, United-States, <=50K\n22, Private,204160, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n64, State-gov,114650, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,240172, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Male,0,0,50, United-States, <=50K\n28, Private,184831, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,124590, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K\n47, State-gov,120429, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n26, Private,202033, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,156874, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,27, United-States, <=50K\n52, Self-emp-inc,177727, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,4064,0,45, United-States, <=50K\n48, Local-gov,334409, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n36, Private,311255, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, Haiti, <=50K\n23, Private,214227, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n41, Private,115849, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n56, State-gov,671292, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, >50K\n53, Private,31460, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,141824, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,310152, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n25, Private,179953, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,2597,0,31, United-States, <=50K\n31, Private,137952, Some-college,10, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, Puerto-Rico, <=50K\n36, Private,103323, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2829,0,40, United-States, <=50K\n46, Private,174426, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n46, State-gov,192779, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Male,0,2258,38, United-States, >50K\n32, Private,169955, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,36, Puerto-Rico, <=50K\n43, Self-emp-not-inc,48087, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K\n30, Private,132601, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n41, Self-emp-inc,253060, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,45, United-States, >50K\n50, Private,108435, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,60, United-States, >50K\n37, State-gov,210452, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K\n22, Local-gov,134181, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,50, United-States, <=50K\n51, Federal-gov,45487, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, <=50K\n47, Private,183522, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, >50K\n40, Private,199303, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,83064, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n23, ?,134997, Some-college,10, Separated, ?, Unmarried, White, Female,0,0,20, United-States, <=50K\n30, Private,44419, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,442612, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n31, Local-gov,158092, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n31, Private,374833, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n30, Private,112650, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,183390, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n27, Private,207418, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n22, ?,335453, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,16, United-States, <=50K\n29, Private,243660, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,54243, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n54, Private,50385, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,45, United-States, >50K\n47, State-gov,187581, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, >50K\n34, Private,37380, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,247025, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, ?,29231, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K\n23, State-gov,101094, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,60, United-States, <=50K\n42, Local-gov,176716, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,118429, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n52, Federal-gov,221532, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K\n22, ?,120572, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Local-gov,124680, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,153160, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,114678, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,5455,0,40, United-States, <=50K\n49, State-gov,142856, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,29702, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n20, Private,277700, Preschool,1, Never-married, Other-service, Own-child, White, Male,0,0,32, United-States, <=50K\n55, Self-emp-inc,67433, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n47, Private,121124, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,394447, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,33, United-States, >50K\n36, Private,79649, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,203763, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Female,0,0,80, United-States, <=50K\n55, Private,229029, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,48, United-States, >50K\n21, ?,494638, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K\n48, Private,162816, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n30, Private,109117, Assoc-voc,11, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K\n24, Private,32732, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n57, Self-emp-not-inc,217692, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,0,0,38, United-States, <=50K\n20, Private,34590, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K\n18, ?,276864, Some-college,10, Never-married, ?, Own-child, White, Female,0,1602,20, United-States, <=50K\n56, Private,168625, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,4101,0,40, United-States, <=50K\n36, Private,91037, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n44, Private,171484, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,200453, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, United-States, >50K\n57, Private,36990, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,52, United-States, <=50K\n33, Private,198211, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n61, ?,30475, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,70995, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,99, United-States, >50K\n28, Private,245790, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,273324, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,1721,16, United-States, <=50K\n60, Private,182687, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Local-gov,247807, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K\n58, Private,163113, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,35, United-States, >50K\n50, Private,180522, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,38, United-States, <=50K\n23, Local-gov,203353, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,12, United-States, <=50K\n30, Private,87469, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, ?,216563, 11th,7, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K\n90, Private,87372, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,72, United-States, >50K\n49, Local-gov,173584, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n47, Local-gov,80282, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3137,0,40, United-States, <=50K\n34, Private,319854, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Taiwan, >50K\n37, Federal-gov,408229, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,431307, 10th,6, Married-civ-spouse, Protective-serv, Wife, Black, Female,0,0,50, United-States, <=50K\n37, Private,134088, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,246396, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K\n34, Private,159255, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n34, Private,106014, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,186934, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n39, Private,120130, Some-college,10, Separated, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n32, State-gov,203849, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,19, United-States, <=50K\n24, Private,207940, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K\n28, Private,302406, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n41, Self-emp-not-inc,144594, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2179,40, United-States, <=50K\n69, ?,171050, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,9, United-States, <=50K\n32, Private,459007, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,90, United-States, <=50K\n58, Private,372181, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, >50K\n47, Self-emp-not-inc,172034, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,75, United-States, >50K\n41, Private,156566, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,50, United-States, >50K\n35, Self-emp-inc,338320, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,353696, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, Canada, <=50K\n46, Self-emp-not-inc,342907, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, >50K\n69, Self-emp-inc,169717, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,6418,0,45, United-States, >50K\n22, Private,103762, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n36, State-gov,47570, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,119432, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n23, Local-gov,144165, Bachelors,13, Never-married, Prof-specialty, Own-child, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K\n35, Private,180647, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n37, Local-gov,312232, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,5178,0,40, United-States, >50K\n35, State-gov,150488, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,200876, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,16, United-States, <=50K\n43, Private,188199, 9th,5, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n53, State-gov,118793, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n54, Local-gov,204325, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, <=50K\n29, Private,256671, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n46, Private,231515, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,47, Cuba, <=50K\n24, Private,100669, Some-college,10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K\n30, Private,88913, Some-college,10, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n23, Private,363219, Some-college,10, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,6, United-States, <=50K\n27, ?,291547, Bachelors,13, Married-civ-spouse, ?, Not-in-family, Other, Female,0,0,6, Mexico, <=50K\n36, Private,308945, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,100316, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n33, Private,296453, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,15, United-States, <=50K\n66, Private,298834, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Canada, <=50K\n45, Self-emp-not-inc,188694, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n68, ?,29240, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K\n37, Private,186934, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K\n17, Private,154908, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n31, Private,22201, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K\n46, Private,216999, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n40, Private,186916, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,116677, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,95763, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n42, Private,266710, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,41, United-States, <=50K\n46, Private,117849, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n30, Private,242460, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n33, Self-emp-not-inc,202729, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,181652, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,174760, Assoc-acdm,12, Married-spouse-absent, Farming-fishing, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n34, Private,56121, 11th,7, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n40, Private,390369, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,149726, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,51262, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,190350, 12th,8, Never-married, Other-service, Unmarried, Black, Female,0,0,35, ?, <=50K\n53, Federal-gov,205288, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,35, United-States, >50K\n36, Private,154835, HS-grad,9, Separated, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n45, Private,89028, HS-grad,9, Divorced, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,10520,0,40, United-States, >50K\n36, Private,194630, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, Self-emp-not-inc,212207, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,11, United-States, <=50K\n27, Private,204788, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,158688, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,97723, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,193026, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n36, Self-emp-not-inc,257250, 7th-8th,4, Never-married, Farming-fishing, Own-child, White, Male,0,0,75, United-States, <=50K\n48, Private,355978, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,200574, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K\n21, Private,376929, 5th-6th,3, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n47, State-gov,123219, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n41, Private,82778, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n61, Self-emp-not-inc,115882, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n64, Private,103021, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,297767, Some-college,10, Separated, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n44, Private,259479, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K\n20, Private,167787, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n23, Local-gov,40021, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,70, United-States, <=50K\n52, Private,245275, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K\n43, Private,37402, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,25, United-States, <=50K\n32, Private,103608, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n63, Private,137192, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n29, Private,137618, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,41, United-States, >50K\n42, Self-emp-inc,96509, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, Taiwan, <=50K\n65, Private,196174, 10th,6, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,28, United-States, <=50K\n24, Private,172612, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,141186, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,228190, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Self-emp-inc,190290, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, ?, >50K\n38, Federal-gov,307404, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,152436, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n46, Self-emp-not-inc,182541, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1672,50, United-States, <=50K\n39, Private,282153, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n29, ?,41281, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K\n42, Private,162003, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,36, United-States, >50K\n36, Private,190759, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n26, Private,208122, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K\n57, Private,173832, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n55, Private,129173, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,287548, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n41, Private,216116, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, ?, <=50K\n24, Private,146706, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n47, Private,285200, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-inc,314375, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n44, Private,203943, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,35, United-States, >50K\n18, ?,274746, HS-grad,9, Never-married, ?, Unmarried, White, Female,0,0,20, United-States, <=50K\n27, Private,517000, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,35, United-States, <=50K\n36, Private,66173, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n21, Private,182823, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n29, Private,159479, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,55, United-States, <=50K\n25, Private,135568, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n73, Private,333676, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n45, Private,201699, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,96020, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n43, Private,176138, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n47, Private,47496, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K\n20, Private,187158, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n22, Private,249727, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K\n76, Self-emp-not-inc,237624, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K\n24, Private,175254, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,42924, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,205950, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,111985, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,58, United-States, <=50K\n30, Private,167476, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K\n40, Private,221172, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n27, ?,188711, Some-college,10, Divorced, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n49, Private,199448, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,313038, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,148431, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Other, Female,0,0,40, United-States, <=50K\n19, Private,112432, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,58, United-States, <=50K\n46, Private,57914, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,145166, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n56, Private,247119, 7th-8th,4, Widowed, Machine-op-inspct, Unmarried, Other, Female,0,0,40, Dominican-Republic, <=50K\n53, Private,196278, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, ?,366531, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,216481, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,188027, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n37, Private,66686, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,74775, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,30, Vietnam, <=50K\n65, ?,325537, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n30, Self-emp-not-inc,250499, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,55, United-States, >50K\n57, Self-emp-not-inc,192869, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K\n44, Self-emp-inc,121352, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n32, Self-emp-not-inc,70985, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,4064,0,40, United-States, <=50K\n27, Self-emp-not-inc,123116, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n57, Local-gov,339163, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K\n59, Self-emp-not-inc,124771, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n32, Private,167531, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,15024,0,50, United-States, >50K\n90, ?,77053, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,4356,40, United-States, <=50K\n22, Private,199266, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K\n39, Private,190728, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,99212, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,48, United-States, >50K\n38, Local-gov,421446, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, >50K\n61, Private,215944, 9th,5, Divorced, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K\n24, Private,72310, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,43, United-States, <=50K\n25, Private,57512, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n44, Private,89413, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Local-gov,28151, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K\n90, Private,46786, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,9386,0,15, United-States, >50K\n30, Private,226943, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n44, Private,182402, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,305352, 10th,6, Divorced, Craft-repair, Other-relative, Black, Male,0,0,40, United-States, <=50K\n63, Self-emp-inc,189253, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n60, Private,296485, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,204375, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, >50K\n49, Self-emp-not-inc,249585, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K\n47, Private,148995, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n42, Self-emp-inc,168071, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, >50K\n53, Private,194995, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Italy, <=50K\n23, Private,211049, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,4101,0,40, United-States, <=50K\n28, ?,196630, Assoc-voc,11, Separated, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K\n20, Private,50397, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,35, United-States, <=50K\n43, Private,177905, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3908,0,40, United-States, <=50K\n32, Private,204374, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K\n43, Private,60001, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,44, United-States, >50K\n31, Private,223046, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n29, ?,44921, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n24, Private,154571, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K\n39, Private,67136, Assoc-voc,11, Separated, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n29, Private,188675, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Jamaica, >50K\n20, Private,390817, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,25, Mexico, <=50K\n23, ?,145964, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,30424, 11th,7, Separated, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K\n53, Private,548361, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,189148, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, <=50K\n58, Self-emp-not-inc,266707, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2179,18, United-States, <=50K\n51, Self-emp-not-inc,311569, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,187653, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K\n38, Private,235379, Assoc-acdm,12, Never-married, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K\n41, Private,188615, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n58, Private,322691, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,184698, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Dominican-Republic, <=50K\n50, Private,144361, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,130057, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n31, Self-emp-inc,117963, Doctorate,16, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,123876, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n37, Private,248445, HS-grad,9, Divorced, Handlers-cleaners, Other-relative, White, Male,0,0,40, El-Salvador, <=50K\n32, Private,207172, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n46, State-gov,119904, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,55, United-States, >50K\n62, Private,134768, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n40, Local-gov,269168, HS-grad,9, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, ?, <=50K\n56, Private,132026, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,7688,0,45, United-States, >50K\n37, Private,60722, Some-college,10, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Japan, >50K\n41, Private,648223, 1st-4th,2, Married-spouse-absent, Farming-fishing, Unmarried, White, Male,0,0,40, Mexico, <=50K\n56, Private,298695, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n20, Private,219835, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n34, Self-emp-not-inc,313729, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n45, Private,140644, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n30, Private,203488, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n51, Self-emp-not-inc,132341, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,161683, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K\n38, Private,312771, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,258102, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n57, ?,24127, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n47, Private,254367, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n77, ?,185426, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K\n43, Private,152629, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n46, Local-gov,141058, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K\n41, Private,233130, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,406641, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n30, State-gov,119422, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,255486, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,25, United-States, <=50K\n22, Private,161532, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n25, Private,75759, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, >50K\n18, Private,163332, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,22, United-States, <=50K\n28, Private,103802, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,1408,40, ?, <=50K\n50, Private,34832, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,40, United-States, >50K\n28, Private,37933, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,48, United-States, <=50K\n21, Private,165107, Some-college,10, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Private,126011, Assoc-voc,11, Divorced, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Federal-gov,56651, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n23, Private,522881, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, Mexico, <=50K\n32, Private,191777, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,35, England, <=50K\n27, Private,132686, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,50, United-States, <=50K\n55, Private,201112, HS-grad,9, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n44, Private,174283, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,208591, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,126399, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,32, United-States, <=50K\n50, Private,142073, HS-grad,9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n18, Private,395567, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n74, Private,180455, Bachelors,13, Widowed, Other-service, Not-in-family, White, Female,0,0,8, United-States, <=50K\n22, Private,235853, 9th,5, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,160731, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n27, State-gov,31935, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,80, United-States, <=50K\n41, Private,35166, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n24, Private,161092, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n23, Private,223019, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,179673, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,60, United-States, >50K\n46, State-gov,248895, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,200323, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n41, Private,230020, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K\n29, Private,134890, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,162096, 9th,5, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female,0,0,45, China, <=50K\n51, Private,103824, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, Haiti, <=50K\n34, State-gov,61431, 12th,8, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n58, Private,197319, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n52, Private,183618, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,268598, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Other, Male,7298,0,50, Puerto-Rico, >50K\n53, Private,263729, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,39493, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n36, Private,185360, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,132661, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,60, United-States, <=50K\n20, Private,266400, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,48, United-States, <=50K\n23, Private,433669, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-inc,216473, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n20, Self-emp-not-inc,217404, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,227778, Assoc-voc,11, Never-married, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K\n73, State-gov,96262, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n67, Private,247566, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,24, United-States, <=50K\n56, Private,139616, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n32, Private,73585, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,37869, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,1590,40, United-States, <=50K\n33, Private,165814, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n37, Private,108913, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,34975, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n31, Private,157078, 10th,6, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n59, Private,232672, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,294295, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,130454, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n24, Local-gov,461678, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, State-gov,252284, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,256737, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n33, Local-gov,96480, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Germany, <=50K\n25, Private,234263, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,109952, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,262570, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,65716, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n68, Private,201732, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,174788, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n38, Private,278924, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,101593, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n71, ?,193863, 7th-8th,4, Widowed, ?, Other-relative, White, Female,0,0,16, Poland, <=50K\n37, Private,342768, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,242606, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,4386,0,45, United-States, >50K\n27, State-gov,176727, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,99179, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, State-gov,354104, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K\n25, Private,61956, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n47, Federal-gov,137917, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n40, Private,224658, Some-college,10, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n38, Private,51100, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n25, Private,224361, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,362912, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,50, United-States, <=50K\n23, Private,218782, 10th,6, Never-married, Handlers-cleaners, Other-relative, Other, Male,0,0,40, United-States, <=50K\n28, Private,103389, Masters,14, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,308944, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,140092, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,202210, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n52, Private,416059, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n33, Self-emp-not-inc,281030, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,94, United-States, <=50K\n19, Private,169758, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n68, Private,193666, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,55, United-States, >50K\n41, Private,139907, 10th,6, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,50, United-States, <=50K\n18, Self-emp-inc,119422, HS-grad,9, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,30, India, <=50K\n29, Private,149324, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, >50K\n40, Private,259307, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n51, Self-emp-not-inc,74160, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,0,0,60, United-States, >50K\n49, Private,134797, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, State-gov,41103, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n38, Local-gov,193026, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n57, Private,303986, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Cuba, <=50K\n35, Private,126569, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K\n66, Private,166461, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,26, United-States, <=50K\n27, ?,61387, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K\n25, Private,254746, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n77, ?,28678, Masters,14, Married-civ-spouse, ?, Husband, White, Male,9386,0,6, United-States, >50K\n19, ?,180976, 10th,6, Never-married, ?, Unmarried, White, Female,0,0,35, United-States, <=50K\n70, Private,282642, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2174,40, United-States, >50K\n59, Self-emp-not-inc,136413, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, <=50K\n25, Private,131463, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n44, Local-gov,177240, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K\n37, Private,218490, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, El-Salvador, >50K\n75, ?,260543, 10th,6, Widowed, ?, Other-relative, Asian-Pac-Islander, Female,0,0,1, China, <=50K\n21, ?,80680, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,20728, HS-grad,9, Never-married, Sales, Own-child, White, Female,4101,0,40, United-States, <=50K\n47, Federal-gov,117628, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,91939, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,1721,30, United-States, <=50K\n32, State-gov,175931, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,309566, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n53, Private,123703, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, ?,369678, HS-grad,9, Never-married, ?, Not-in-family, Other, Male,0,0,30, United-States, <=50K\n58, Private,29928, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,36, United-States, <=50K\n22, Private,167868, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n23, Private,235894, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n21, Private,189888, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,3325,0,60, United-States, <=50K\n36, Private,111545, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n39, Private,175972, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, <=50K\n34, Local-gov,254270, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Local-gov,185057, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n72, Private,157593, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,1455,0,6, United-States, <=50K\n34, Private,101345, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K\n51, Local-gov,176751, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n32, Self-emp-not-inc,97723, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,127601, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n37, Private,227597, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, ?,143995, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,20, United-States, <=50K\n21, Private,250051, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K\n26, Private,284078, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,207668, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1887,40, United-States, >50K\n18, Private,163787, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n27, Private,119170, 11th,7, Never-married, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n20, Private,188612, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, Nicaragua, <=50K\n36, Private,114605, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n31, ?,317761, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,164197, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n54, Private,329266, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K\n34, Local-gov,207383, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,123598, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K\n33, Private,259931, 11th,7, Separated, Machine-op-inspct, Other-relative, White, Male,0,0,30, United-States, <=50K\n32, Private,134737, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n42, Private,106900, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,87054, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n37, Private,82622, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,181659, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,321205, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,4101,0,35, United-States, <=50K\n44, Self-emp-not-inc,231348, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,276096, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,290560, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n21, Private,307315, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n39, State-gov,99156, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,237928, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,39, United-States, <=50K\n46, Private,153501, HS-grad,9, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n47, ?,149700, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,36, United-States, >50K\n47, Private,189680, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K\n35, Private,374524, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,75, United-States, >50K\n60, Self-emp-not-inc,127805, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,150217, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,24, Poland, <=50K\n33, Private,295649, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, China, <=50K\n21, Private,197182, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,241998, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n48, Federal-gov,156410, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,50, United-States, >50K\n58, Private,473836, 7th-8th,4, Widowed, Farming-fishing, Other-relative, White, Female,0,0,45, Guatemala, <=50K\n21, Private,198431, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,113936, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,318915, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,175406, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K\n33, ?,193172, Assoc-voc,11, Married-civ-spouse, ?, Own-child, White, Female,7688,0,50, United-States, >50K\n23, Federal-gov,320294, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, State-gov,400285, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n24, ?,283731, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,227154, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n49, Private,298659, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, Mexico, <=50K\n47, Private,212120, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n50, Private,320510, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K\n21, Private,175800, HS-grad,9, Never-married, Prof-specialty, Unmarried, White, Female,0,0,55, United-States, <=50K\n55, Private,170169, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,344157, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,199441, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,225456, HS-grad,9, Never-married, Tech-support, Other-relative, White, Male,0,0,50, United-States, <=50K\n36, Private,61178, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Local-gov,175262, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,2002,40, England, <=50K\n42, Private,152568, HS-grad,9, Widowed, Sales, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n41, Private,182108, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,27828,0,35, United-States, >50K\n46, Private,273771, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,40, United-States, >50K\n32, Private,208291, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,224358, 10th,6, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,55176, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n60, State-gov,152711, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,68684, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,185452, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K\n39, Federal-gov,175232, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1977,60, United-States, >50K\n23, Private,173851, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,162327, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,50, ?, >50K\n36, Local-gov,51424, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,123416, 12th,8, Separated, Prof-specialty, Own-child, White, Female,1055,0,40, United-States, <=50K\n26, Private,262656, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,233194, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K\n41, Private,290660, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,55, United-States, >50K\n22, Private,151105, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,18, United-States, <=50K\n38, Private,179117, Assoc-acdm,12, Never-married, Machine-op-inspct, Not-in-family, Black, Female,10520,0,50, United-States, >50K\n72, ?,33608, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,9386,0,30, United-States, >50K\n39, Private,317434, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, State-gov,126569, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n38, Local-gov,745768, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,45, United-States, <=50K\n19, Private,69927, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,16, United-States, <=50K\n26, Private,302603, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,45, United-States, <=50K\n52, Private,46788, Bachelors,13, Divorced, Craft-repair, Unmarried, White, Male,0,0,25, United-States, <=50K\n41, Private,289886, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Other, Male,0,1579,40, Nicaragua, <=50K\n45, Private,179135, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Federal-gov,175873, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,57426, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n36, Private,312206, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n19, Without-pay,344858, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n26, State-gov,177035, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, Private,88055, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,111095, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,192251, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K\n27, Private,29807, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, Japan, <=50K\n26, Federal-gov,211596, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Private,268276, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n59, Self-emp-not-inc,181070, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, England, >50K\n53, Local-gov,20676, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K\n35, Private,115803, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,124827, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,95336, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n36, Private,257942, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,72593, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,147340, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,185325, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n59, Self-emp-not-inc,357943, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,215395, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,1602,10, United-States, <=50K\n50, Local-gov,30682, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n24, Federal-gov,29591, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,40, United-States, <=50K\n36, Private,215392, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,110554, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,4386,0,40, United-States, >50K\n42, Self-emp-not-inc,133584, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K\n38, Private,210438, 7th-8th,4, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Private,256916, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,73541, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,109952, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n54, Private,197975, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,51, United-States, <=50K\n27, Private,401723, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n42, Private,179524, Bachelors,13, Separated, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n33, State-gov,296282, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,145844, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n59, Private,191965, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,3908,0,28, United-States, <=50K\n54, Private,96792, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n48, Private,185041, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1672,55, United-States, <=50K\n19, ?,233779, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K\n45, Private,347834, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,215373, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, <=50K\n35, Self-emp-not-inc,169426, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,202856, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,36, United-States, <=50K\n33, Private,50276, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,187454, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,126098, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n19, Private,250639, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K\n64, Self-emp-inc,195366, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,186845, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,8, United-States, <=50K\n20, Federal-gov,119156, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,20, United-States, <=50K\n28, Private,162343, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K\n52, Private,108435, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, Greece, >50K\n29, Self-emp-not-inc,394927, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n51, Private,172281, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,370767, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2377,60, United-States, <=50K\n43, Private,352005, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K\n52, Private,165681, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,258819, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n25, Private,130793, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n36, Private,118909, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, Jamaica, <=50K\n44, Private,202466, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, United-States, <=50K\n47, Private,161558, 10th,6, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male,0,0,45, United-States, <=50K\n32, Private,188246, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,160120, Masters,14, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n40, Private,144594, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,2829,0,40, United-States, <=50K\n34, Self-emp-not-inc,123429, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n35, Self-emp-inc,340110, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,523067, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,3, El-Salvador, <=50K\n49, Self-emp-not-inc,113513, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n63, ?,186809, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K\n46, Self-emp-not-inc,320421, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,25, United-States, <=50K\n31, Local-gov,295589, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n22, Private,370548, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n20, Private,120572, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K\n52, Private,110977, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n26, Private,55860, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n34, Private,158800, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,131568, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,173613, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n22, Private,216867, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n38, Private,104089, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,208106, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Ecuador, <=50K\n27, State-gov,340269, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,236246, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,213408, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, Cuba, <=50K\n40, ?,84232, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K\n19, Private,302945, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, Thailand, <=50K\n69, ?,28197, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, >50K\n20, Private,262749, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n34, Federal-gov,198265, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K\n49, Private,170871, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,177761, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0,0,50, United-States, <=50K\n59, Private,175689, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,14, Cuba, >50K\n45, Private,205100, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n21, Private,77759, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n51, State-gov,77905, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n64, ?,193575, 11th,7, Never-married, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n41, State-gov,116520, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n18, ?,85154, 12th,8, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,24, Germany, <=50K\n49, Private,180532, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,508891, HS-grad,9, Divorced, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K\n20, Private,211345, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,20, United-States, <=50K\n69, Self-emp-not-inc,170877, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n18, ?,97318, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n43, Private,184105, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n50, Private,150941, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,44, United-States, <=50K\n32, Private,303942, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Local-gov,273929, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,197077, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,162825, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,159869, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,44, United-States, <=50K\n19, Private,158343, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, ?, <=50K\n17, ?,406920, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,227986, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,137527, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n36, Private,180150, 12th,8, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,239539, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n58, Private,281792, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,224799, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n64, Private,292639, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,10566,0,35, United-States, <=50K\n66, Private,22313, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n42, Private,194636, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,156089, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n53, Private,193720, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n25, Private,218667, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,358837, Some-college,10, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n20, Private,174685, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,168854, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,54, United-States, <=50K\n28, Private,133696, Bachelors,13, Never-married, Sales, Unmarried, White, Male,0,0,65, United-States, <=50K\n23, Federal-gov,350680, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, Poland, <=50K\n18, Private,115215, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n43, Self-emp-not-inc,152958, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n29, Private,217200, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,235124, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,46, Dominican-Republic, <=50K\n31, Local-gov,144949, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n60, Private,135470, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n42, Private,281209, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,155489, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n38, Private,290306, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,182042, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,19, United-States, <=50K\n31, Private,210008, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n54, Private,234938, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4064,0,55, United-States, <=50K\n46, Private,315423, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,2042,50, United-States, <=50K\n27, Self-emp-not-inc,30244, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,80, United-States, <=50K\n50, Local-gov,30008, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n38, Self-emp-not-inc,201328, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, United-States, <=50K\n36, State-gov,96468, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,486332, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n19, Private,46162, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,25, United-States, <=50K\n60, Local-gov,98350, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,60, Philippines, <=50K\n45, Local-gov,175958, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,119309, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,1602,16, United-States, <=50K\n42, Private,175935, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,1980,46, United-States, <=50K\n38, Private,204527, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n22, ?,57827, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,418176, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,32, United-States, <=50K\n23, Private,262744, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,177287, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,30, United-States, <=50K\n30, Private,255004, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,52, United-States, <=50K\n62, Private,183735, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Self-emp-not-inc,318644, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n42, Federal-gov,132125, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, >50K\n33, Private,206051, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-inc,99185, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, >50K\n35, Private,225750, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n33, Private,245777, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,169092, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,55, United-States, <=50K\n62, Private,211035, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, >50K\n24, Private,285432, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,154779, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n54, Private,37237, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n58, Private,417419, 7th-8th,4, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-inc,33975, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,42485, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n27, Private,170017, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,152683, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3908,0,35, United-States, <=50K\n20, Private,41721, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,60, United-States, <=50K\n64, Private,66634, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-inc,257216, Masters,14, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,167882, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,43, United-States, <=50K\n45, Private,179428, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n26, Private,57512, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,301614, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,193820, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,1876,40, United-States, <=50K\n58, Private,222247, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,40, United-States, >50K\n39, Self-emp-inc,189092, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n47, Private,217509, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female,0,0,45, Thailand, <=50K\n35, Private,308691, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n38, Private,169672, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,120914, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,370156, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n28, Private,398220, 5th-6th,3, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K\n44, Self-emp-not-inc,208277, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,45, United-States, <=50K\n40, Private,337456, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Private,172666, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Self-emp-not-inc,32280, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,45, United-States, <=50K\n33, Private,194901, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n19, ?,57329, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, Japan, <=50K\n32, Private,173730, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n45, Local-gov,153312, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,10, United-States, >50K\n23, Private,274797, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n31, Private,359249, Assoc-voc,11, Never-married, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K\n22, Private,152744, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n59, Private,188041, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n32, Private,97723, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K\n49, State-gov,354529, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,249727, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n26, Private,189590, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n23, State-gov,298871, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n55, Self-emp-not-inc,205296, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K\n47, Private,303637, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,49, United-States, >50K\n44, Private,242861, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,37599, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K\n40, State-gov,199381, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,37, United-States, >50K\n32, Self-emp-not-inc,56328, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,8, United-States, >50K\n20, Private,256211, Some-college,10, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n84, Local-gov,163685, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,33, United-States, <=50K\n40, Private,266084, Some-college,10, Divorced, Craft-repair, Other-relative, White, Male,0,0,50, United-States, <=50K\n37, Private,161111, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,199031, Some-college,10, Divorced, Transport-moving, Own-child, White, Male,0,1380,40, United-States, <=50K\n47, Private,166634, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, Germany, <=50K\n62, Self-emp-not-inc,204085, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K\n19, ?,369527, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Private,464945, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n44, Local-gov,174684, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n26, Local-gov,166295, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,41, United-States, <=50K\n36, Private,220511, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,246936, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,104509, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n48, ?,266337, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,252168, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n25, Private,92093, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n62, Private,88055, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,129591, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,142719, HS-grad,9, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K\n18, ?,264924, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Private,128796, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K\n38, Private,115336, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,70, United-States, <=50K\n52, Private,190333, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n63, Self-emp-not-inc,179444, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,15, United-States, <=50K\n49, Private,218676, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K\n17, Local-gov,148194, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K\n33, Private,184833, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n70, Self-emp-not-inc,280639, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,2329,0,20, United-States, <=50K\n19, Private,217769, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n27, ?,180553, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K\n61, Private,56009, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,255334, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, >50K\n46, Self-emp-inc,328216, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,42, ?, >50K\n29, Private,349154, 10th,6, Separated, Farming-fishing, Unmarried, White, Female,0,0,40, Guatemala, <=50K\n40, Local-gov,24763, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,6849,0,40, United-States, <=50K\n43, State-gov,41834, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, >50K\n24, Private,113466, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,130856, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n61, Self-emp-not-inc,268797, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,17, United-States, <=50K\n48, Private,202117, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K\n19, Private,280146, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n30, Private,70377, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,236696, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n39, Local-gov,222572, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, <=50K\n46, Self-emp-inc,110702, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,2036,0,60, United-States, <=50K\n40, Private,96129, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,72, United-States, >50K\n27, Local-gov,200492, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,193820, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,454508, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,2001,40, United-States, <=50K\n58, Private,220789, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n33, Private,101345, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,42, Canada, >50K\n40, Private,140559, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n40, Self-emp-inc,64885, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n31, Private,402361, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,143582, HS-grad,9, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,48, China, <=50K\n49, Private,185385, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n24, Private,112706, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,130364, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n58, Local-gov,147428, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,205895, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n65, ?,273569, HS-grad,9, Widowed, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n43, Private,153160, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,167918, Masters,14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, India, <=50K\n41, Private,195661, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,54, United-States, <=50K\n27, State-gov,146243, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n52, ?,105428, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,12, United-States, <=50K\n26, Private,149943, HS-grad,9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,60, ?, <=50K\n52, Local-gov,246197, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Local-gov,192563, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n19, Private,244115, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,30, United-States, <=50K\n39, Local-gov,98587, Some-college,10, Divorced, Prof-specialty, Own-child, White, Female,0,0,45, United-States, <=50K\n47, Private,145886, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,244315, HS-grad,9, Divorced, Craft-repair, Other-relative, Other, Male,0,0,40, United-States, <=50K\n48, Private,192779, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,209464, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n60, Private,25141, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n28, Private,405793, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n47, Federal-gov,53498, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n69, ?,476653, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n40, Self-emp-not-inc,162312, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,66, South, <=50K\n37, Private,277022, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Female,3887,0,40, Nicaragua, <=50K\n41, State-gov,109762, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,123031, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,48, Trinadad&Tobago, <=50K\n46, Federal-gov,119890, Assoc-voc,11, Separated, Tech-support, Not-in-family, Other, Female,0,0,30, United-States, <=50K\n21, Self-emp-not-inc,409230, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n44, Private,223308, Masters,14, Separated, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K\n38, ?,129150, 10th,6, Separated, ?, Own-child, White, Male,0,0,35, United-States, <=50K\n47, Self-emp-not-inc,119199, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n42, Private,46221, Doctorate,16, Married-spouse-absent, Other-service, Not-in-family, White, Male,27828,0,60, ?, >50K\n42, Local-gov,351161, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Private,174533, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n32, Private,324386, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,126568, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,33, United-States, <=50K\n26, Private,275703, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,219611, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,2174,0,50, United-States, <=50K\n49, Private,200471, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K\n65, Private,155261, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n73, State-gov,74040, 7th-8th,4, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n34, Private,226296, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,211968, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n49, Local-gov,126446, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n25, Private,262885, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K\n39, Private,188069, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, United-States, <=50K\n19, Private,113546, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,56, United-States, <=50K\n24, Private,227070, 10th,6, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n34, Private,136997, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n35, ?,119006, HS-grad,9, Widowed, ?, Own-child, White, Female,0,0,38, United-States, <=50K\n21, Private,212407, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n43, Private,197810, Masters,14, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Federal-gov,35309, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,28, ?, <=50K\n39, Private,141802, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, ?,184513, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,80, United-States, >50K\n33, Self-emp-not-inc,124187, Assoc-acdm,12, Never-married, Other-service, Not-in-family, Black, Male,0,0,32, United-States, <=50K\n19, Private,201743, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,26, United-States, <=50K\n17, Private,156736, 10th,6, Never-married, Sales, Unmarried, White, Female,0,0,12, United-States, <=50K\n43, Self-emp-not-inc,47261, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n62, Private,150693, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K\n53, Local-gov,233734, Masters,14, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, >50K\n45, State-gov,35969, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n47, Private,159550, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n30, Private,190823, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n53, Private,213378, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,33, United-States, <=50K\n24, Private,257500, HS-grad,9, Separated, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n41, Local-gov,488706, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n58, Local-gov,239405, 5th-6th,3, Divorced, Other-service, Other-relative, Black, Female,0,0,40, Haiti, <=50K\n27, Federal-gov,105189, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,4865,0,50, United-States, <=50K\n63, State-gov,109735, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n50, Private,172942, Some-college,10, Divorced, Other-service, Own-child, White, Male,0,0,28, United-States, <=50K\n43, Local-gov,209899, Masters,14, Never-married, Tech-support, Not-in-family, Black, Female,8614,0,47, United-States, >50K\n29, Self-emp-inc,87745, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n41, Private,187881, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,3942,0,40, United-States, <=50K\n55, Private,234125, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,272944, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n23, Local-gov,129232, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,100345, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,13550,0,55, United-States, >50K\n58, Self-emp-not-inc,195835, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n25, Private,251854, 11th,7, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n40, Private,103474, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K\n38, Private,22042, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,39, United-States, <=50K\n37, Private,343721, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,232368, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n55, Private,174478, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,29, United-States, <=50K\n55, Private,282023, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n28, Private,274690, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n53, Private,251675, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K\n32, ?,647882, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, ?, <=50K\n60, Private,128367, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Male,3325,0,42, United-States, <=50K\n32, Private,37380, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n34, Private,173730, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n49, Private,353824, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n21, Private,225890, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K\n24, State-gov,147147, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n53, Private,233780, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, Black, Female,2202,0,40, United-States, <=50K\n29, Private,394927, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K\n34, Local-gov,188682, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, ?,115209, Prof-school,15, Married-spouse-absent, ?, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n41, Private,277192, 5th-6th,3, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,40, Mexico, <=50K\n21, Private,314182, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,220776, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n31, Local-gov,189269, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,35429, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2042,40, United-States, <=50K\n42, Private,154374, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,60, United-States, >50K\n62, Private,161460, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,30, United-States, <=50K\n51, Private,251487, 7th-8th,4, Widowed, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n30, Private,177531, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K\n24, Private,53942, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,113481, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,361324, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,330087, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n33, Private,276221, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,121055, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n62, Private,118696, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n64, Self-emp-not-inc,289741, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K\n18, Private,238401, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n43, Private,262038, 5th-6th,3, Married-spouse-absent, Farming-fishing, Unmarried, White, Male,0,0,35, Mexico, <=50K\n62, Self-emp-not-inc,26911, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,66, United-States, <=50K\n29, Private,161155, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n43, Private,252519, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, Haiti, >50K\n39, Private,43712, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n69, ?,167826, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,188900, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n44, Private,120057, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,45, United-States, >50K\n25, Private,134113, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n47, Local-gov,165822, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n17, Private,99161, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K\n41, Local-gov,74581, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,65, United-States, <=50K\n19, Private,304643, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n57, Private,121821, 1st-4th,2, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, Dominican-Republic, <=50K\n25, Private,154863, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Male,0,0,35, United-States, <=50K\n37, Local-gov,365430, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Canada, >50K\n29, Private,183111, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,50178, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n35, Private,186845, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n52, Private,159908, 12th,8, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,162189, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,1831,0,40, Peru, <=50K\n29, Private,128509, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female,0,0,38, El-Salvador, <=50K\n23, Private,143032, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,36, United-States, <=50K\n31, Private,382368, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,210013, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n19, Private,293928, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n21, Private,208503, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,10, United-States, <=50K\n37, State-gov,191841, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,8614,0,40, United-States, >50K\n49, Self-emp-not-inc,355978, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,35, United-States, >50K\n64, Local-gov,202738, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K\n37, Local-gov,144322, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K\n70, Self-emp-not-inc,155141, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2377,12, United-States, >50K\n22, Private,160120, 10th,6, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K\n29, Self-emp-inc,190450, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Germany, <=50K\n37, Private,212900, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,115677, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,252250, 11th,7, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,65, United-States, <=50K\n27, Private,212041, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n58, State-gov,198145, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, >50K\n60, Local-gov,113658, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K\n20, Private,32426, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K\n51, Private,98791, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,203828, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n22, State-gov,186634, 12th,8, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n56, Self-emp-not-inc,125147, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n26, Private,247455, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,5178,0,42, United-States, >50K\n19, Private,97215, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K\n37, Private,330826, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, <=50K\n27, Private,200802, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,156266, HS-grad,9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Male,0,0,20, United-States, <=50K\n52, Self-emp-not-inc,72257, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n45, Private,363087, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,25955, Some-college,10, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n20, Private,334633, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,109162, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n44, Private,569761, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n30, Private,209900, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, State-gov,272986, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Black, Female,0,0,8, United-States, <=50K\n55, ?,52267, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,18, United-States, <=50K\n46, Private,82946, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,104651, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n25, Local-gov,58441, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Local-gov,269733, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, ?,128453, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,28, United-States, <=50K\n36, Private,179468, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,183081, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,102938, Bachelors,13, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n30, ?,157289, 11th,7, Never-married, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, Private,359828, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K\n30, Private,155659, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K\n24, Private,585203, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,45, United-States, >50K\n62, Private,173601, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,214541, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,1590,40, United-States, <=50K\n49, Self-emp-not-inc,163352, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,85, United-States, >50K\n36, Self-emp-not-inc,153976, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n47, Local-gov,247676, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,5455,0,45, United-States, <=50K\n49, State-gov,155372, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, Private,329733, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Private,162576, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,176520, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,53, United-States, <=50K\n51, State-gov,226885, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,120781, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n30, Private,375827, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n46, Private,205504, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,20, United-States, <=50K\n28, Private,198813, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,40, United-States, <=50K\n48, Self-emp-inc,254291, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n62, Private,159908, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, >50K\n49, Private,40000, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,4064,0,44, United-States, <=50K\n69, Private,102874, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,24, United-States, <=50K\n35, Private,117381, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,8614,0,45, United-States, >50K\n78, Private,180239, Masters,14, Widowed, Craft-repair, Unmarried, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n61, Private,539563, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n24, Private,261561, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,81057, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,160120, Bachelors,13, Married-civ-spouse, Sales, Husband, Other, Male,0,0,45, ?, <=50K\n17, Private,41979, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,275110, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,80, United-States, >50K\n64, Private,265661, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,193246, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, France, <=50K\n32, Private,236543, 12th,8, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K\n19, Private,29510, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n42, State-gov,105804, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,194604, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n23, Private,1038553, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,45, United-States, <=50K\n51, Local-gov,209320, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n31, Private,193231, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,3325,0,60, United-States, <=50K\n44, Private,307468, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,29, United-States, >50K\n38, Private,255941, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,10520,0,50, United-States, >50K\n44, Local-gov,107845, Assoc-acdm,12, Divorced, Protective-serv, Not-in-family, White, Female,0,0,56, United-States, >50K\n44, Self-emp-not-inc,567788, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n38, Private,91857, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n36, Private,732569, 9th,5, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,86613, 1st-4th,2, Never-married, Other-service, Not-in-family, White, Male,0,0,20, El-Salvador, <=50K\n46, Private,35961, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,25, Germany, <=50K\n47, Private,114754, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,235124, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,99999,0,40, United-States, >50K\n37, Local-gov,218490, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,35, United-States, >50K\n27, Private,329426, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n43, Private,181015, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,50, United-States, <=50K\n44, Self-emp-not-inc,264740, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,381153, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, <=50K\n34, Private,189759, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K\n39, Private,230467, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,1092,40, Germany, <=50K\n36, Private,218542, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n57, Private,298507, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K\n78, Private,111189, 7th-8th,4, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,35, Dominican-Republic, <=50K\n24, Private,168997, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,168894, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,149809, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,344073, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K\n22, Private,416165, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,32, United-States, <=50K\n36, Private,41490, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n61, Private,40269, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n67, ?,243256, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K\n42, Private,250536, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,21, Haiti, <=50K\n49, Federal-gov,105586, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n58, Private,51499, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,189878, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K\n39, Private,179481, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,4650,0,44, United-States, <=50K\n25, Private,299765, Some-college,10, Separated, Adm-clerical, Other-relative, Black, Female,0,0,40, Jamaica, <=50K\n45, Self-emp-inc,155664, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, >50K\n30, Private,54608, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n49, ?,174702, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K\n36, Self-emp-not-inc,285020, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2885,0,40, United-States, <=50K\n23, Private,201145, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K\n51, Private,125796, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,35, Jamaica, <=50K\n55, Private,249072, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n35, Private,99156, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n45, State-gov,94754, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, India, <=50K\n36, Private,111128, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K\n32, Local-gov,157887, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,74194, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n47, Self-emp-inc,168191, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,28334, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n52, Private,84278, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, ?, >50K\n44, Private,721161, Some-college,10, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n36, Private,188069, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n40, Private,145178, Some-college,10, Divorced, Craft-repair, Unmarried, Black, Female,0,0,30, United-States, <=50K\n17, Private,52967, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,6, United-States, <=50K\n18, Private,177578, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,38, United-States, <=50K\n30, Self-emp-inc,185384, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, <=50K\n66, Private,66008, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,50, England, <=50K\n59, Private,329059, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Local-gov,348802, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n50, Private,34233, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,509629, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n28, Private,27956, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,99, Philippines, <=50K\n44, Local-gov,83286, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n25, Private,309098, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,188950, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n20, Private,224217, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n67, Private,222899, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,123306, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n52, Federal-gov,279337, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,347166, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n37, Local-gov,251396, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Canada, >50K\n17, Self-emp-inc,143034, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,4, United-States, <=50K\n25, Private,57635, Assoc-voc,11, Married-civ-spouse, Sales, Wife, White, Female,0,0,42, United-States, >50K\n35, Local-gov,162651, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K\n63, Private,28334, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n38, Local-gov,84570, Some-college,10, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n33, Private,181091, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, Iran, >50K\n51, Local-gov,117496, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n64, State-gov,216160, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, Columbia, >50K\n50, Self-emp-inc,204447, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,374969, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,0,0,56, United-States, <=50K\n67, Private,35015, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,99, United-States, <=50K\n46, Private,179869, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,137733, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,193125, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,103649, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n56, State-gov,54260, Doctorate,16, Married-civ-spouse, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,2885,0,40, China, <=50K\n29, Private,197932, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, Mexico, >50K\n37, Private,249720, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,27, United-States, <=50K\n55, Private,223613, 1st-4th,2, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,30, Cuba, <=50K\n24, Private,259865, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n21, Private,301694, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, Mexico, <=50K\n46, Self-emp-inc,276934, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n25, Private,395512, 12th,8, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Male,0,0,40, Mexico, <=50K\n40, Private,168071, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,28, United-States, <=50K\n23, Private,45317, Some-college,10, Separated, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,311177, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n29, Self-emp-not-inc,190636, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,1485,60, United-States, >50K\n59, Private,221336, 10th,6, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n18, Private,120691, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,35, ?, <=50K\n28, Private,107389, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,32, United-States, <=50K\n17, Private,293440, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n53, Private,145409, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,213902, 5th-6th,3, Never-married, Priv-house-serv, Other-relative, White, Female,0,0,40, El-Salvador, <=50K\n63, Private,100099, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,191856, Masters,14, Married-civ-spouse, Sales, Wife, White, Female,0,0,45, United-States, >50K\n40, Local-gov,233891, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n61, Self-emp-not-inc,96073, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, England, >50K\n35, Private,474136, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1408,40, United-States, <=50K\n43, Self-emp-not-inc,355856, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, Philippines, <=50K\n20, ?,144685, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,1602,40, Taiwan, <=50K\n48, Self-emp-not-inc,139212, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, State-gov,143931, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Federal-gov,160703, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,191291, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,68729, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,1902,40, United-States, >50K\n61, Private,119986, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n37, Private,227545, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, >50K\n36, Private,32776, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n34, Private,228881, Some-college,10, Separated, Machine-op-inspct, Not-in-family, Other, Male,0,0,40, United-States, <=50K\n23, Private,84648, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n63, Federal-gov,101996, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n63, ?,68954, HS-grad,9, Widowed, ?, Not-in-family, Black, Female,0,0,11, United-States, <=50K\n47, Local-gov,285060, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,41, United-States, >50K\n55, Self-emp-inc,209569, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, >50K\n31, Local-gov,331126, Bachelors,13, Never-married, Protective-serv, Own-child, Black, Male,0,0,48, United-States, <=50K\n27, Private,279872, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Private,150560, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,14084,0,40, United-States, >50K\n28, Local-gov,185647, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, <=50K\n52, Private,128871, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,64, United-States, <=50K\n31, Federal-gov,386331, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,50, United-States, <=50K\n53, Private,117814, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n43, Private,220609, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K\n43, Local-gov,117022, HS-grad,9, Married-spouse-absent, Farming-fishing, Unmarried, Black, Male,0,0,40, United-States, <=50K\n50, Self-emp-inc,176751, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,80, United-States, >50K\n68, ?,76371, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K\n37, Private,80410, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,127202, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,121471, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,219086, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n59, Private,271571, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,50, United-States, >50K\n30, Private,241583, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,374253, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,55, United-States, <=50K\n30, Private,214993, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,199995, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K\n38, Private,450924, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,3942,0,40, United-States, <=50K\n29, Private,120359, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n76, Private,93125, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,1424,0,24, United-States, <=50K\n21, Private,187513, Assoc-voc,11, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n65, Private,243569, Some-college,10, Widowed, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K\n43, Private,295510, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n29, Private,29732, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,24, United-States, <=50K\n32, Private,211743, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n37, Private,251396, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n64, Private,477697, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,16, United-States, <=50K\n49, Private,151584, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,193882, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n68, ?,117542, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,1409,0,15, United-States, <=50K\n34, Private,242460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n35, Private,411395, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,36, United-States, <=50K\n53, Private,191025, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K\n24, Private,154571, Assoc-voc,11, Never-married, Sales, Unmarried, Asian-Pac-Islander, Male,0,0,50, South, <=50K\n31, Private,208657, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,29599, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, <=50K\n36, Private,423711, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n29, Private,122000, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n37, Private,148581, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n42, Self-emp-not-inc,222978, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n30, Private,149118, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Self-emp-inc,218407, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,70, Cuba, <=50K\n47, Self-emp-not-inc,112200, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,10520,0,45, United-States, >50K\n44, Private,85604, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n19, Private,111232, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,99199, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n51, Private,199995, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n69, Private,122850, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,16, United-States, <=50K\n73, ?,90557, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n18, ?,271935, 11th,7, Never-married, ?, Other-relative, White, Female,0,0,20, United-States, <=50K\n33, Self-emp-not-inc,361497, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Local-gov,399020, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K\n33, Private,345277, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,45, United-States, >50K\n20, Federal-gov,55233, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,200515, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,188119, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,176683, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K\n22, Private,309178, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n67, Self-emp-not-inc,40021, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n31, Self-emp-inc,49923, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n36, ?,36635, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,25, United-States, <=50K\n43, Federal-gov,325706, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, India, >50K\n33, Private,124407, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,301568, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K\n27, Private,339956, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,60, United-States, <=50K\n36, Private,176335, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,198452, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K\n63, Private,213945, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, Iran, >50K\n48, Private,171807, Bachelors,13, Divorced, Other-service, Unmarried, White, Female,0,0,56, United-States, >50K\n25, Private,362826, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,45, United-States, <=50K\n41, Self-emp-not-inc,344329, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,10, United-States, <=50K\n26, Private,137678, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,175424, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n33, State-gov,73296, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,1831,0,40, United-States, <=50K\n30, State-gov,137613, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,17, Taiwan, <=50K\n67, Self-emp-not-inc,354405, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n32, Private,130057, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n48, Self-emp-not-inc,362883, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, >50K\n51, Private,49017, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n39, Private,149943, Masters,14, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n40, Self-emp-inc,99185, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n40, Private,294708, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K\n19, Private,228238, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K\n28, Private,156819, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,36, United-States, <=50K\n47, Private,332727, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n20, Private,289944, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n41, Private,116103, HS-grad,9, Widowed, Exec-managerial, Other-relative, White, Male,914,0,40, United-States, <=50K\n29, Private,24153, Some-college,10, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n40, Private,273425, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n61, Private,231183, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,313930, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n26, Private,114483, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,162108, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,168807, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n43, Local-gov,143828, Masters,14, Divorced, Prof-specialty, Unmarried, Black, Female,9562,0,40, United-States, >50K\n73, Private,242769, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3471,0,40, England, <=50K\n46, Local-gov,111558, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,69770, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n37, Private,291981, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,102460, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,151584, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,1876,40, United-States, <=50K\n47, Local-gov,287320, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,115677, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,239632, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,409172, Bachelors,13, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0,0,55, United-States, <=50K\n20, Private,186849, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K\n28, Private,118861, 10th,6, Married-civ-spouse, Craft-repair, Wife, Other, Female,0,0,48, Guatemala, <=50K\n26, Private,142689, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, ?, <=50K\n41, State-gov,170924, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n67, ?,274451, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,153489, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,186489, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,46, United-States, <=50K\n18, Private,192409, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n55, State-gov,337599, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,195545, HS-grad,9, Divorced, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n64, Private,61892, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,15, United-States, <=50K\n34, Self-emp-not-inc,175697, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,75, United-States, <=50K\n38, Private,80303, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n25, Private,419658, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,8, United-States, <=50K\n21, Private,319163, Some-college,10, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n37, Private,126743, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,53, Mexico, <=50K\n39, Private,301568, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,120461, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n23, Private,268145, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n54, Private,257337, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n49, Self-emp-inc,213354, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, >50K\n25, Private,303431, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n51, Private,124963, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,158218, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,35, United-States, <=50K\n27, State-gov,553473, Bachelors,13, Married-civ-spouse, Protective-serv, Wife, Black, Female,0,0,48, United-States, <=50K\n53, Private,46155, HS-grad,9, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female,0,0,40, United-States, <=50K\n68, Private,138714, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n56, Private,231781, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,496414, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K\n24, Private,19410, HS-grad,9, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female,0,0,48, United-States, <=50K\n70, ?,28471, 9th,5, Widowed, ?, Unmarried, White, Female,0,0,25, United-States, <=50K\n24, Private,185821, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n74, ?,272667, Assoc-acdm,12, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n23, ?,194031, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n41, Local-gov,144995, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n45, Private,162494, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,19, United-States, <=50K\n35, Private,171968, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,232569, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,161819, 11th,7, Separated, Adm-clerical, Unmarried, Black, Female,0,0,25, United-States, <=50K\n18, Private,123343, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n49, Private,105449, Bachelors,13, Never-married, Priv-house-serv, Not-in-family, White, Male,0,0,25, United-States, <=50K\n49, Private,181717, Assoc-voc,11, Separated, Prof-specialty, Own-child, White, Female,0,0,36, United-States, <=50K\n45, Local-gov,102359, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, <=50K\n27, Private,72887, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n28, Private,154571, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n35, Private,255191, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n33, Private,174789, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,110402, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n19, Private,208513, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n33, Private,121904, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K\n28, Private,34335, HS-grad,9, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Male,14084,0,40, United-States, >50K\n49, Private,59380, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, ?,135285, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,2603,32, United-States, <=50K\n39, Self-emp-inc,126675, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K\n22, Private,217363, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,91836, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,184813, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,178142, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Local-gov,102359, 9th,5, Widowed, Handlers-cleaners, Unmarried, White, Male,0,2231,40, United-States, >50K\n33, Self-emp-inc,281832, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Cuba, >50K\n28, Private,96226, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n42, Private,195124, 7th-8th,4, Married-spouse-absent, Prof-specialty, Other-relative, White, Male,0,0,35, Puerto-Rico, <=50K\n20, Private,56322, Some-college,10, Never-married, Other-service, Own-child, White, Male,2176,0,25, United-States, <=50K\n50, Local-gov,97449, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, <=50K\n32, Private,339773, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n31, Federal-gov,210926, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,199499, Assoc-voc,11, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n46, Federal-gov,190729, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-inc,191385, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,77, United-States, <=50K\n61, Private,193479, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,24, United-States, <=50K\n43, Self-emp-not-inc,225165, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n35, Private,346766, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, State-gov,152307, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,79990, 11th,7, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K\n42, Self-emp-not-inc,170649, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n23, Private,197207, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,229732, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n52, Private,204402, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,85, United-States, >50K\n36, Private,181065, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,179579, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, >50K\n50, Private,237729, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,2444,72, United-States, >50K\n23, ?,164574, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n71, Private,179574, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,12, United-States, >50K\n27, Private,191782, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,30, United-States, <=50K\n56, Private,146660, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n28, Self-emp-not-inc,115945, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n45, Private,210875, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,137898, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n28, Local-gov,216965, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,201554, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,15, United-States, <=50K\n62, Private,57970, 7th-8th,4, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,208378, 12th,8, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,61343, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K\n24, Private,283872, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,20, United-States, <=50K\n58, Private,225603, 9th,5, Divorced, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n48, Private,401333, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,278228, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,145377, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,120238, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,187215, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,36, United-States, >50K\n29, Self-emp-not-inc,144063, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K\n38, Private,238721, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n21, Private,164920, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,152493, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n50, Private,92968, Bachelors,13, Never-married, Sales, Unmarried, White, Female,0,0,32, United-States, <=50K\n50, Private,136836, HS-grad,9, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Federal-gov,216453, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,45, United-States, <=50K\n30, Private,349148, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, <=50K\n29, State-gov,309620, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,20, Taiwan, <=50K\n22, State-gov,347803, Some-college,10, Never-married, Adm-clerical, Not-in-family, Other, Male,0,0,20, United-States, <=50K\n42, Private,85995, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n19, ?,167428, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,164569, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,48, United-States, <=50K\n42, Self-emp-not-inc,308279, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,21, United-States, <=50K\n20, Private,56322, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n51, ?,203015, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,211654, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n27, Self-emp-inc,120126, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,239043, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, ?,179761, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,312017, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, Germany, <=50K\n51, Private,257485, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,49243, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,229716, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K\n31, Private,341672, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,60, India, <=50K\n24, Private,32311, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n56, Private,275236, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,400356, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,184596, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,3942,0,50, United-States, <=50K\n18, Private,186909, HS-grad,9, Never-married, Sales, Other-relative, White, Female,1055,0,30, United-States, <=50K\n43, Private,152420, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,50, United-States, <=50K\n43, State-gov,261929, Doctorate,16, Married-spouse-absent, Prof-specialty, Unmarried, White, Male,25236,0,64, United-States, >50K\n21, Private,235442, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,161691, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n20, ?,173945, 11th,7, Married-civ-spouse, ?, Other-relative, White, Female,0,0,39, United-States, <=50K\n41, Private,355918, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K\n45, State-gov,198660, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,122649, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n28, Private,421967, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, United-States, >50K\n50, Local-gov,259377, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,40, United-States, >50K\n47, Private,74305, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n80, Self-emp-not-inc,34340, 7th-8th,4, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,35, United-States, <=50K\n47, Self-emp-not-inc,182752, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, Iran, <=50K\n19, ?,48393, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,84, United-States, <=50K\n45, Private,34248, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,186677, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n37, Private,167851, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,146460, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,209650, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n18, Self-emp-not-inc,132986, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n57, Private,94429, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,252406, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,174592, Masters,14, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,151322, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n51, Private,37237, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, >50K\n38, Private,101192, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n77, ?,152900, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n51, Private,94081, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n24, Private,329408, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,106028, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K\n35, ?,164866, 10th,6, Divorced, ?, Not-in-family, White, Male,0,0,99, United-States, <=50K\n51, Self-emp-inc,167793, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n28, Private,138692, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,173968, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,228320, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,96585, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n42, Private,156580, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, Puerto-Rico, <=50K\n58, Private,210673, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n52, Local-gov,137753, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,20, United-States, <=50K\n29, Private,29865, HS-grad,9, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0,0,50, United-States, <=50K\n27, Private,196044, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n28, Private,308995, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, Jamaica, <=50K\n59, Private,159008, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,20, United-States, >50K\n28, Private,362491, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,94395, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,320047, 10th,6, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,98535, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n65, Private,183170, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K\n18, ?,331511, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n38, Private,195686, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,178244, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,127833, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n36, Private,269722, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n55, State-gov,136819, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,205604, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,30, Mexico, <=50K\n28, Private,132078, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,234880, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n24, Private,196816, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3908,0,40, United-States, <=50K\n36, Private,237943, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n68, Self-emp-inc,140852, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,105614, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n18, Private,83492, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,225772, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, >50K\n37, Private,242713, 12th,8, Separated, Priv-house-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K\n60, Private,355865, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n43, Private,173316, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-inc,35662, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,70, United-States, >50K\n17, Private,297246, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,9, United-States, <=50K\n43, Private,108945, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n39, Private,112158, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,26, ?, <=50K\n21, Self-emp-not-inc,57298, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n42, Self-emp-not-inc,115323, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,7, ?, <=50K\n48, Self-emp-not-inc,164582, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298,0,60, United-States, >50K\n56, Private,295067, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,14084,0,45, United-States, >50K\n21, Private,177265, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n28, Local-gov,336543, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, Hong, >50K\n39, Self-emp-not-inc,52870, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,316820, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K\n38, Local-gov,200153, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Private,453067, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K\n51, Federal-gov,27166, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,299598, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K\n23, Private,122048, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,345277, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,113147, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K\n43, Private,34007, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,255014, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n34, Private,152667, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, United-States, <=50K\n21, Private,231053, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K\n34, Private,103651, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-inc,124137, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,198183, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,183627, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,48, Ireland, <=50K\n19, Private,466458, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n45, Self-emp-not-inc,114396, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n42, Private,186376, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,72, Philippines, >50K\n32, Private,290964, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,1590,40, United-States, <=50K\n90, Self-emp-not-inc,282095, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n44, State-gov,244974, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,44, United-States, >50K\n34, Self-emp-not-inc,114691, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,107160, 12th,8, Separated, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n39, Self-emp-not-inc,142573, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,25, United-States, <=50K\n29, Private,203833, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n24, Private,47791, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n49, Private,133729, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,17, United-States, <=50K\n52, Self-emp-not-inc,135339, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K\n54, Private,135803, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,15024,0,60, South, >50K\n31, Private,128591, 9th,5, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,133853, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n18, ?,137363, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n27, Self-emp-not-inc,243569, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,119156, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,391114, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K\n27, Private,252506, Some-college,10, Divorced, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n34, State-gov,117503, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,20, Italy, <=50K\n25, State-gov,117833, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,19, United-States, <=50K\n39, Private,294183, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,394927, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n51, Self-emp-not-inc,259323, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n21, ?,207988, HS-grad,9, Married-civ-spouse, ?, Other-relative, White, Female,0,0,35, United-States, <=50K\n33, Private,96635, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,26, South, <=50K\n27, Private,192283, Assoc-voc,11, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,38, United-States, <=50K\n29, Private,214881, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, State-gov,167474, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,110713, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n20, Private,201204, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,197666, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,162002, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n31, Private,263561, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2246,45, United-States, >50K\n41, Private,224799, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,89942, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,238685, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n54, Private,38795, 9th,5, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n55, Private,90414, Bachelors,13, Married-spouse-absent, Craft-repair, Unmarried, White, Female,0,0,55, Ireland, <=50K\n21, Private,190805, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,32, United-States, <=50K\n52, Private,23780, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K\n19, Private,285263, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,177331, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n22, Private,347530, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K\n59, Private,230039, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,625,38, United-States, <=50K\n17, ?,210547, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,204752, 12th,8, Never-married, Sales, Own-child, White, Male,0,0,32, United-States, <=50K\n74, Self-emp-not-inc,104001, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,253116, 10th,6, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Private,169037, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Self-emp-inc,202027, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n45, Private,170099, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,212847, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,85, United-States, <=50K\n50, State-gov,307392, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,233428, HS-grad,9, Divorced, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K\n44, Private,355728, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Male,0,1980,45, England, <=50K\n52, Private,177995, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, Mexico, >50K\n24, Private,283613, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K\n56, Self-emp-inc,184598, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, <=50K\n27, Private,185647, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n47, Self-emp-inc,192894, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,45, United-States, >50K\n40, Self-emp-not-inc,284706, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,1977,60, United-States, >50K\n38, Private,179579, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,131679, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, Private,132973, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n22, Private,154713, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,121718, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K\n30, Private,255279, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n55, Private,202559, Bachelors,13, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,35, Philippines, <=50K\n25, Private,123095, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,1590,40, United-States, <=50K\n32, Private,153326, Bachelors,13, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, <=50K\n28, Private,75695, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K\n33, Self-emp-inc,206609, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,234780, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,40, United-States, <=50K\n27, Private,178778, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,171355, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,20, United-States, <=50K\n63, Federal-gov,95680, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,18, United-States, >50K\n39, Private,196673, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,5013,0,40, United-States, <=50K\n51, Federal-gov,73670, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386,0,52, United-States, >50K\n67, Self-emp-not-inc,139960, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-inc,397280, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,72, ?, <=50K\n27, Private,60374, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Female,0,1594,26, United-States, <=50K\n54, Private,421561, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n59, Private,245196, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K\n18, Private,27620, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n19, Private,187570, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n31, Private,102884, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,228399, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,7, United-States, <=50K\n42, Private,340234, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,15024,0,40, United-States, >50K\n37, Private,176293, Some-college,10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n51, Local-gov,108435, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,161187, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,2463,0,40, United-States, <=50K\n23, Private,278391, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,157941, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,182866, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n69, Private,370888, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,2964,0,6, Germany, <=50K\n30, Private,206512, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,44, United-States, <=50K\n33, Private,357954, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,35, India, <=50K\n28, Private,189346, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,48, United-States, <=50K\n45, Private,234652, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n25, Private,113436, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K\n37, Private,204145, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n59, Private,157305, Preschool,1, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Dominican-Republic, <=50K\n26, Private,104045, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n48, Private,280422, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,25, Peru, <=50K\n64, Federal-gov,173754, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,211154, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,321435, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, State-gov,177083, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n46, Private,178829, Masters,14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, >50K\n35, Federal-gov,287658, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K\n43, Private,209894, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n31, Private,334744, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,306967, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n35, Private,52187, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n35, Private,101978, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n35, State-gov,483530, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Private,77357, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,149770, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,328606, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,14084,0,63, United-States, >50K\n70, ?,172652, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n46, Private,188293, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,116608, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,38, United-States, <=50K\n37, State-gov,348960, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K\n24, Private,329530, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, Mexico, <=50K\n47, Local-gov,93476, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K\n35, Self-emp-not-inc,195744, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n43, Private,125833, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n18, State-gov,191117, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n54, Private,311020, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n62, Private,210464, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,38, United-States, <=50K\n36, Private,135289, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n27, Private,156266, 9th,5, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n23, Private,154210, Some-college,10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,0,0,14, Puerto-Rico, <=50K\n61, ?,160625, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,4386,0,15, United-States, >50K\n39, Self-emp-not-inc,331481, Bachelors,13, Divorced, Craft-repair, Not-in-family, Black, Male,0,1669,60, ?, <=50K\n33, Self-emp-not-inc,249249, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,261725, 1st-4th,2, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n22, Private,239612, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n31, Self-emp-not-inc,226696, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n26, Private,190330, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n44, Private,193755, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n73, Private,192740, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n44, Private,201924, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n35, Private,77146, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n33, Private,126414, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, ?, <=50K\n27, Private,43652, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Federal-gov,227244, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,50, United-States, >50K\n29, Private,160731, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n33, Private,287878, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,26, United-States, <=50K\n50, Private,166758, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K\n32, Private,183811, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2829,0,40, United-States, <=50K\n41, Self-emp-not-inc,254818, Masters,14, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, Peru, <=50K\n19, ?,220517, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n45, Private,295046, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n65, Private,190568, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,810,36, United-States, <=50K\n42, State-gov,211915, Some-college,10, Separated, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,295621, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,25, United-States, >50K\n32, Private,204567, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,60, United-States, >50K\n42, Private,204235, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,186982, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n38, Private,133586, HS-grad,9, Married-civ-spouse, Protective-serv, Own-child, White, Male,0,0,45, United-States, <=50K\n38, Private,165930, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n37, Private,164898, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K\n24, Private,278155, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K\n27, Self-emp-not-inc,115705, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n25, Private,150553, 9th,5, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n29, Private,185127, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,201595, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K\n44, Self-emp-inc,165815, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,96, United-States, <=50K\n26, Private,102420, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,40, South, <=50K\n46, Local-gov,344172, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,49, United-States, >50K\n38, Private,222450, Some-college,10, Separated, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n38, Private,212245, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, State-gov,190625, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n33, Private,203488, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,304260, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n31, Local-gov,243665, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,41, United-States, >50K\n26, Self-emp-not-inc,189238, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,4, Mexico, <=50K\n42, Private,77373, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K\n27, Private,410351, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,36385, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n64, Private,110150, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,198316, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,127772, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,199058, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n56, Private,285730, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,66, United-States, <=50K\n25, Local-gov,334133, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n60, State-gov,97030, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n52, Private,67090, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n43, Private,397963, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,594,0,16, United-States, <=50K\n46, Private,182533, Bachelors,13, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n19, Private,560804, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n56, Private,365050, 7th-8th,4, Never-married, Farming-fishing, Unmarried, Black, Female,0,0,20, United-States, <=50K\n22, Private,110200, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,150025, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K\n39, Private,299828, 5th-6th,3, Separated, Sales, Unmarried, Black, Female,0,0,30, Puerto-Rico, <=50K\n28, Private,109282, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,103435, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,34747, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n39, Private,137522, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K\n39, Private,286789, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Self-emp-not-inc,211032, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n67, ?,192916, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,3818,0,11, United-States, <=50K\n31, Private,219318, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, Puerto-Rico, <=50K\n50, Private,112873, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,36069, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3908,0,46, United-States, <=50K\n48, Private,73434, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Germany, >50K\n51, Private,200576, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,172962, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,44006, Assoc-voc,11, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,234474, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n37, Private,212826, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n38, Private,234901, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n59, Federal-gov,200700, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,41258, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n51, Private,249644, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, >50K\n60, ?,230165, Bachelors,13, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Private,351731, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,114765, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,349884, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n28, Self-emp-inc,204247, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,143392, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,37913, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Italy, >50K\n22, Self-emp-inc,150683, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,24, United-States, <=50K\n27, Private,207611, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,52, United-States, <=50K\n45, State-gov,319666, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, <=50K\n39, Private,155961, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K\n25, Local-gov,117833, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n63, ?,447079, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,15, United-States, <=50K\n24, Self-emp-inc,142404, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,155752, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,30, United-States, <=50K\n19, ?,252292, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,111450, 12th,8, Never-married, Other-service, Unmarried, Black, Male,0,0,38, United-States, <=50K\n20, Private,528616, 5th-6th,3, Never-married, Other-service, Other-relative, White, Male,0,0,40, Mexico, <=50K\n17, Self-emp-not-inc,228786, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n63, Self-emp-inc,80572, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n28, Local-gov,180271, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,65, United-States, >50K\n51, Federal-gov,237819, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n29, Private,157612, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,3325,0,45, United-States, <=50K\n64, Private,379062, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,12, United-States, <=50K\n17, Private,191910, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n45, Local-gov,326064, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,6497,0,35, United-States, <=50K\n18, Private,312353, 12th,8, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n31, Local-gov,213307, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,209057, Bachelors,13, Married-spouse-absent, Sales, Own-child, White, Male,0,0,50, United-States, >50K\n41, Private,340148, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n65, Private,154171, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,60, United-States, >50K\n27, Private,94064, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,119098, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,388496, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,8, Puerto-Rico, >50K\n49, Private,181363, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n58, ?,210031, HS-grad,9, Divorced, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Private,206951, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,45, United-States, >50K\n25, Private,485496, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n41, Private,210259, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,37, United-States, <=50K\n31, Private,118551, 9th,5, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n63, Private,180911, 11th,7, Married-civ-spouse, Protective-serv, Husband, White, Male,4386,0,37, United-States, >50K\n50, State-gov,242517, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n63, Private,298113, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,277783, Masters,14, Never-married, Farming-fishing, Own-child, White, Male,0,0,99, United-States, <=50K\n48, Private,155862, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K\n51, Self-emp-not-inc,171924, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n18, Private,243900, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n23, Private,231160, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n31, Private,356882, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013,0,40, United-States, <=50K\n38, Private,49020, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,105460, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, England, <=50K\n56, Private,157749, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n31, Private,131568, 7th-8th,4, Divorced, Transport-moving, Unmarried, White, Male,0,0,20, United-States, <=50K\n46, Private,332355, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,204501, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n56, Local-gov,305767, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n31, Private,129761, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-inc,130126, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K\n53, Private,102828, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n18, Private,160984, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n18, ?,255282, 11th,7, Never-married, ?, Own-child, Black, Male,0,1602,48, United-States, <=50K\n20, ?,346341, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n27, Private,285897, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,45, United-States, >50K\n31, Private,356689, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Federal-gov,192386, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,40, United-States, <=50K\n46, Private,394860, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,113129, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K\n26, Private,55929, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Local-gov,177018, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,161141, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,309463, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,165468, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K\n24, Private,49218, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n74, Self-emp-not-inc,119129, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,2149,20, United-States, <=50K\n56, Self-emp-not-inc,162130, 5th-6th,3, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,67, United-States, >50K\n39, Federal-gov,129573, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,1741,40, United-States, <=50K\n21, Private,306850, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,135296, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,2258,45, United-States, >50K\n43, Self-emp-not-inc,187322, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,45, United-States, <=50K\n23, Private,55674, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,2907,0,40, United-States, <=50K\n26, Private,148298, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n47, Private,34845, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n27, Private,200733, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K\n45, Private,191858, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n30, Private,425528, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,70, United-States, <=50K\n35, Private,44780, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,20, United-States, >50K\n33, Private,125856, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,100508, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,148294, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n42, Private,39324, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n48, Federal-gov,147397, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,36, United-States, <=50K\n46, Private,24728, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,48, United-States, <=50K\n36, Private,177616, 5th-6th,3, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,163826, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,199947, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n26, Local-gov,386949, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,25, United-States, <=50K\n36, Self-emp-inc,116133, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,57, United-States, <=50K\n56, Self-emp-not-inc,196307, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n37, Private,177181, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,324854, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n23, Private,188505, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n23, State-gov,502316, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, State-gov,26892, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, Private,102058, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n39, Private,167728, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n67, Local-gov,233681, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n60, Private,26756, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n54, Private,101890, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,192337, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, England, >50K\n47, Private,340982, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,3103,0,40, Philippines, >50K\n49, State-gov,102308, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K\n19, Private,84747, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K\n20, Private,197752, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n66, Private,185336, HS-grad,9, Widowed, Sales, Other-relative, White, Female,0,0,35, United-States, <=50K\n22, ?,289984, Some-college,10, Never-married, ?, Not-in-family, Black, Female,0,0,25, United-States, <=50K\n51, Self-emp-not-inc,125417, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n19, Private,278480, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,146412, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,193042, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n41, Private,53956, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,1980,56, United-States, <=50K\n90, Private,175491, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,9386,0,50, Ecuador, >50K\n78, ?,33186, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K\n36, Private,144154, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,194901, Prof-school,15, Divorced, Sales, Own-child, White, Male,0,0,55, United-States, <=50K\n35, Private,335777, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n46, Private,139268, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n38, Private,33887, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n24, Private,283613, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,141245, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Puerto-Rico, <=50K\n49, Private,298130, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,186096, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,30, United-States, <=50K\n77, Private,187656, Some-college,10, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,20, United-States, <=50K\n46, Private,102308, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,56, United-States, >50K\n41, Private,124639, Some-college,10, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n28, Private,388112, 1st-4th,2, Never-married, Farming-fishing, Unmarried, White, Male,0,0,77, Mexico, <=50K\n21, Private,109952, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,164529, 12th,8, Never-married, Farming-fishing, Own-child, Black, Male,0,0,40, United-States, <=50K\n36, Private,247750, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,45, United-States, <=50K\n23, State-gov,103588, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K\n38, Federal-gov,248919, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2051,40, United-States, <=50K\n29, Self-emp-not-inc,178551, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,136137, Some-college,10, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0,0,50, United-States, >50K\n47, Federal-gov,55377, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, >50K\n39, Local-gov,177728, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Local-gov,243580, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K\n21, ?,188535, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,63910, HS-grad,9, Divorced, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n23, Private,219535, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n44, State-gov,180609, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,59313, Some-college,10, Separated, Other-service, Not-in-family, Black, Male,0,0,40, ?, <=50K\n70, Private,170428, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,20, Puerto-Rico, <=50K\n51, Private,102615, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1977,40, United-States, >50K\n66, Private,193132, 9th,5, Separated, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n57, Self-emp-inc,124137, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,136629, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n48, Self-emp-inc,148995, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K\n24, ?,203076, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,63424, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n43, Private,241895, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,266973, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n32, Private,188048, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,366929, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n33, Private,214129, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,250818, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Local-gov,240979, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,98283, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, India, >50K\n26, Private,104746, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,60, United-States, <=50K\n39, Private,103710, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,60, United-States, <=50K\n24, Private,159580, Bachelors,13, Never-married, Other-service, Own-child, Black, Female,0,0,75, United-States, <=50K\n45, Private,117409, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,140001, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n49, State-gov,31650, Bachelors,13, Married-civ-spouse, Prof-specialty, Other-relative, White, Female,0,0,45, United-States, <=50K\n35, State-gov,80771, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,66278, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,107801, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1617,25, United-States, <=50K\n33, Private,206609, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,282461, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n31, Private,188246, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n20, Private,279763, 11th,7, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,25, United-States, <=50K\n44, Private,467799, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,137674, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n50, Private,158284, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,204219, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K\n28, State-gov,210498, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n60, Federal-gov,63526, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n38, Federal-gov,216924, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,372559, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n57, Federal-gov,199114, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,2258,40, United-States, <=50K\n50, Private,168539, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Local-gov,189911, 11th,7, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n69, Local-gov,61958, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,1424,0,6, United-States, <=50K\n51, State-gov,68898, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Male,0,2444,39, United-States, >50K\n42, Private,204450, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n53, Private,311350, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,113750, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,359591, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,132879, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K\n20, Private,301199, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n38, State-gov,267540, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K\n52, Private,185407, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, Poland, >50K\n48, Self-emp-inc,191277, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n30, Private,78980, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n37, Self-emp-not-inc,241463, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,65, United-States, >50K\n47, Private,216999, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n33, Local-gov,120508, Bachelors,13, Divorced, Protective-serv, Unmarried, White, Female,0,0,60, Germany, <=50K\n33, Private,122612, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Thailand, <=50K\n20, Private,94057, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n41, State-gov,197558, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,351869, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1485,45, United-States, >50K\n54, Self-emp-not-inc,121761, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, ?, <=50K\n36, Federal-gov,184556, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n46, Private,268281, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,235646, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,186909, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n62, Private,35783, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n33, Private,188861, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,363591, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n18, Private,469921, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Private,51150, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,174325, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n20, Private,347530, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K\n50, Private,72351, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n42, Local-gov,185129, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, ?, >50K\n36, Private,188571, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,255252, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,291951, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,223046, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,37937, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,43, United-States, <=50K\n38, Private,295127, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,183801, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,14, United-States, <=50K\n40, Private,116218, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n40, Private,143069, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,235951, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n57, Private,112840, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n65, Local-gov,146454, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1648,4, Greece, <=50K\n52, Federal-gov,43705, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n59, Private,122283, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999,0,40, India, >50K\n18, Private,376647, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,2176,0,25, United-States, <=50K\n48, Private,101299, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n45, Private,96798, 5th-6th,3, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, Private,194654, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n27, State-gov,206889, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,226902, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n44, State-gov,150755, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5013,0,40, United-States, <=50K\n24, Private,200679, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,50, United-States, <=50K\n71, Private,183678, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,16, United-States, <=50K\n17, Private,33138, 12th,8, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,57071, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,40, United-States, <=50K\n71, ?,35303, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,9386,0,30, United-States, >50K\n37, Private,188576, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n33, Private,169496, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,58124, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,356344, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,444134, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,15, United-States, <=50K\n18, ?,340117, 11th,7, Never-married, ?, Unmarried, Black, Female,0,0,50, United-States, <=50K\n34, Private,219619, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, ?,334585, 10th,6, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n27, Local-gov,331046, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n46, ?,443179, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K\n64, ?,239529, 11th,7, Widowed, ?, Not-in-family, White, Female,3674,0,35, United-States, <=50K\n24, Private,100345, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n23, Private,205653, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n33, Private,112383, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,21626, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,2202,0,56, United-States, <=50K\n25, Private,135568, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,190532, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K\n53, Federal-gov,266598, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n38, Local-gov,116608, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n36, Private,353263, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K\n25, State-gov,157617, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Federal-gov,21698, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,77143, 12th,8, Separated, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K\n18, State-gov,342852, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,176602, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n26, Private,146343, Some-college,10, Married-civ-spouse, Sales, Wife, Black, Female,0,0,40, United-States, <=50K\n68, ?,146645, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,20051,0,50, United-States, >50K\n33, Private,221966, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,2202,0,50, United-States, <=50K\n22, Private,215546, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K\n50, State-gov,173020, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, ?,247734, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n44, Private,252202, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,497300, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,426431, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Federal-gov,162410, Some-college,10, Widowed, Tech-support, Not-in-family, White, Female,0,0,45, United-States, >50K\n77, ?,143516, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, >50K\n25, Private,190350, 10th,6, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n20, Private,194504, Some-college,10, Separated, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Federal-gov,110884, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n26, Private,187652, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,81400, 1st-4th,2, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, El-Salvador, <=50K\n70, ?,97831, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,4, United-States, <=50K\n57, Private,180920, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,189186, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, ?,144172, Assoc-acdm,12, Married-civ-spouse, ?, Wife, White, Female,0,0,16, United-States, <=50K\n36, Private,607848, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,45, United-States, >50K\n32, Private,207301, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,293073, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n36, Private,210452, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,45, United-States, <=50K\n19, Private,41400, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n27, Private,164170, Bachelors,13, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female,0,0,20, Philippines, <=50K\n48, Private,112906, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K\n49, Self-emp-not-inc,126268, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n55, Private,208311, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,20, United-States, >50K\n61, Private,28291, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Female,0,0,82, United-States, <=50K\n42, Local-gov,121998, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n42, Federal-gov,31621, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Local-gov,108386, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,134727, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,208391, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,112271, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n30, Private,173350, Assoc-voc,11, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,243190, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,20, India, >50K\n55, Private,185436, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n36, Private,290409, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,80058, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,48, United-States, <=50K\n56, Local-gov,370045, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,36936, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2002,40, United-States, <=50K\n37, Private,231180, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,119793, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,60, United-States, <=50K\n38, Private,102178, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n76, ?,135039, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n35, ?,317780, Some-college,10, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, Private,232840, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,43, United-States, <=50K\n35, Private,33975, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,256997, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n64, Private,298301, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,310380, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n45, Local-gov,182100, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,501172, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Mexico, <=50K\n43, State-gov,143939, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, >50K\n23, Private,85088, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,37, United-States, <=50K\n25, Private,282313, 10th,6, Never-married, Handlers-cleaners, Own-child, Black, Male,0,1602,40, United-States, <=50K\n39, Private,230054, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n63, Private,236338, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,35, United-States, <=50K\n37, Private,321943, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n26, Federal-gov,218782, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Other, Male,0,0,40, United-States, <=50K\n33, Private,191385, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Canada, <=50K\n45, Self-emp-inc,185497, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,70, ?, <=50K\n28, Private,126129, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,199268, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n34, Private,255693, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K\n34, Private,203488, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,203233, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,203836, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n36, Private,187847, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n38, Private,116358, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n46, Self-emp-inc,198660, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,72, United-States, >50K\n43, Self-emp-not-inc,89636, Bachelors,13, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,60, South, <=50K\n49, Private,120629, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n26, Local-gov,150226, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K\n28, Private,137898, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n54, Self-emp-inc,146574, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,88725, HS-grad,9, Never-married, Craft-repair, Not-in-family, Other, Female,0,0,40, ?, <=50K\n24, Private,142022, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n23, Private,284898, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,30, United-States, <=50K\n55, Local-gov,212448, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,203039, 9th,5, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,227489, HS-grad,9, Never-married, Tech-support, Other-relative, Black, Male,0,0,40, ?, <=50K\n19, Private,105289, 10th,6, Never-married, Other-service, Other-relative, Black, Female,0,0,20, United-States, <=50K\n28, ?,223745, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,242994, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,52, United-States, <=50K\n30, Private,196385, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n76, Private,116202, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,33, United-States, <=50K\n47, Private,140045, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,133503, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,2174,0,40, United-States, <=50K\n40, Private,226585, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n24, Private,85041, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n30, Private,162442, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,50, United-States, >50K\n67, Private,279980, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,10605,0,10, United-States, >50K\n24, Private,216563, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n43, Local-gov,231964, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,263855, 12th,8, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n40, Private,124915, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n61, Federal-gov,178312, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n45, Local-gov,215862, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, United-States, >50K\n21, State-gov,39236, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K\n58, Private,349910, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n52, Private,75839, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,176711, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,266525, Some-college,10, Never-married, Prof-specialty, Other-relative, Black, Female,594,0,20, United-States, <=50K\n25, ?,34307, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,331776, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,111469, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, State-gov,198965, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,288185, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n21, Private,198050, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n65, Private,242580, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,11678,0,50, United-States, >50K\n37, Private,173128, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,87905, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,10520,0,40, United-States, >50K\n44, Private,173704, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Federal-gov,93225, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,40, United-States, >50K\n38, Private,323269, Some-college,10, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K\n35, Private,158046, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5013,0,70, United-States, <=50K\n32, Private,133503, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,172296, Some-college,10, Separated, Sales, Unmarried, White, Male,0,0,60, United-States, <=50K\n39, ?,201105, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,30, United-States, <=50K\n23, Private,176486, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,25, United-States, <=50K\n25, Self-emp-inc,182750, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, >50K\n23, Private,82497, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,28, United-States, <=50K\n47, Private,208872, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,145269, 11th,7, Divorced, Craft-repair, Not-in-family, White, Female,0,0,45, United-States, <=50K\n25, Private,19214, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,149347, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n68, ?,53850, 7th-8th,4, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n50, Private,158294, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,3103,0,40, United-States, >50K\n47, Private,152073, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,189623, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n24, Private,341368, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,201603, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,2176,0,40, United-States, <=50K\n35, Private,270572, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n30, Private,285295, Bachelors,13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n17, Private,126779, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n49, ?,202874, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,40, Columbia, <=50K\n27, Private,373499, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,60, El-Salvador, <=50K\n22, Private,244773, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,15, United-States, <=50K\n22, State-gov,96862, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,162632, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,2, United-States, <=50K\n51, Self-emp-not-inc,159755, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, >50K\n27, Private,37088, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, United-States, <=50K\n27, Private,335421, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n23, Never-worked,188535, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K\n20, State-gov,349365, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,33002, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n32, Private,330715, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K\n45, Private,146857, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K\n35, Private,275522, 7th-8th,4, Widowed, Other-service, Unmarried, White, Female,0,0,80, United-States, <=50K\n22, Private,43646, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,154548, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n28, Private,47907, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,238397, Bachelors,13, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,24, United-States, <=50K\n48, Local-gov,195949, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,42, United-States, >50K\n22, ?,354351, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,349169, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n25, Private,158662, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, United-States, >50K\n23, Local-gov,23438, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,107302, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n43, Private,174196, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Local-gov,226871, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K\n23, Private,124971, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,214061, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,441700, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-inc,104892, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,58, United-States, >50K\n34, Private,234386, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Local-gov,188278, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,244395, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n35, Private,30916, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n48, Private,219565, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,377486, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,36, United-States, <=50K\n42, Local-gov,137232, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Female,0,0,50, United-States, <=50K\n53, Private,233369, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,71067, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K\n59, Private,195176, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,72, United-States, <=50K\n31, Private,98639, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n34, Private,183778, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,123011, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,2559,50, United-States, >50K\n25, Private,164938, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,4416,0,40, United-States, <=50K\n28, ?,147471, HS-grad,9, Divorced, ?, Own-child, White, Female,0,0,10, United-States, <=50K\n30, Private,206046, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,40, United-States, >50K\n46, Private,81497, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,48, United-States, <=50K\n45, Private,189225, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,141264, Some-college,10, Never-married, Exec-managerial, Other-relative, Black, Female,0,0,40, United-States, <=50K\n33, Private,97939, Assoc-acdm,12, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,42, United-States, <=50K\n44, Private,160829, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,20, United-States, >50K\n25, Private,483822, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, El-Salvador, <=50K\n48, State-gov,148738, Some-college,10, Divorced, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,289982, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,58702, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,3103,0,50, United-States, >50K\n20, Private,146706, Some-college,10, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,30, United-States, <=50K\n23, Private,420973, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n71, Private,124959, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, State-gov,121471, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,198237, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n27, Private,280758, 11th,7, Never-married, Craft-repair, Other-relative, White, Male,0,0,60, United-States, <=50K\n40, Private,191544, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n30, Private,261023, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,50, United-States, <=50K\n30, State-gov,231043, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,340917, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,167140, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,40, United-States, <=50K\n39, Private,370795, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n39, Federal-gov,209609, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n74, Private,209454, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n32, Self-emp-inc,78530, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n25, Private,88922, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n64, Private,86972, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,165468, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K\n37, Private,134367, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,37, United-States, >50K\n47, Private,199058, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,183612, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,191982, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K\n22, Private,514033, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,80, United-States, <=50K\n56, Private,172364, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,190105, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,55, United-States, <=50K\n30, Self-emp-inc,119422, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n20, Private,236592, 12th,8, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, Italy, <=50K\n53, State-gov,43952, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,38, United-States, >50K\n43, Private,194636, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n23, Private,235853, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,150528, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n30, Private,213722, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,41432, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,46, United-States, <=50K\n22, Private,285775, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,470663, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n54, Self-emp-not-inc,114520, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,113466, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,224559, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n59, Private,186385, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, ?,167094, 10th,6, Divorced, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K\n18, ?,216508, 12th,8, Never-married, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K\n41, Local-gov,384236, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,181265, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n58, Private,190997, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,98287, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,103456, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,184723, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,1980,35, United-States, <=50K\n25, Private,165622, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n29, Private,101597, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,54, United-States, <=50K\n53, Private,146378, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n63, Local-gov,152163, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n26, State-gov,106812, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n21, Private,148211, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,3674,0,50, United-States, <=50K\n45, Private,187581, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,135296, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n72, Local-gov,144515, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1258,40, United-States, <=50K\n51, Private,210736, 10th,6, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n21, Private,210165, 9th,5, Married-spouse-absent, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,224584, Some-college,10, Divorced, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, Private,80771, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n46, Private,164733, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,41, United-States, <=50K\n31, Self-emp-not-inc,119411, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, >50K\n68, Local-gov,177596, 10th,6, Separated, Other-service, Not-in-family, Black, Female,0,0,90, United-States, <=50K\n43, ?,396116, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,185251, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,173590, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,3, United-States, <=50K\n56, Federal-gov,196307, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, ?,293091, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,12, United-States, <=50K\n36, Private,175232, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n21, Private,51047, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n21, Private,334618, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Female,99999,0,40, United-States, >50K\n52, Local-gov,152795, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-inc,205601, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,70, United-States, >50K\n52, Private,129177, Bachelors,13, Widowed, Other-service, Not-in-family, White, Female,0,2824,20, United-States, >50K\n51, Self-emp-not-inc,121548, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K\n29, Private,244566, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Private,75073, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,55, United-States, <=50K\n29, Private,179008, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n21, Private,170800, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n58, Private,373344, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,127961, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,99392, Some-college,10, Divorced, Craft-repair, Not-in-family, Black, Female,0,0,45, United-States, <=50K\n30, Private,392812, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, Germany, <=50K\n29, Private,262478, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,30, United-States, <=50K\n48, Self-emp-not-inc,32825, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,167380, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,203204, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,25, United-States, >50K\n35, Federal-gov,105138, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n54, Private,145714, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,7688,0,25, United-States, >50K\n24, Private,182276, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, <=50K\n20, Private,275385, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,45, United-States, <=50K\n30, Self-emp-not-inc,292472, Some-college,10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,55, United-States, >50K\n19, Self-emp-not-inc,73514, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,30, United-States, <=50K\n26, Private,199600, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n38, Private,111499, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1977,99, United-States, >50K\n25, Private,202560, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,99309, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n60, Local-gov,124987, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n30, Private,287986, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,119411, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,198668, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,117583, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,234664, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, ?,114357, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, State-gov,176949, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, <=50K\n33, Private,189710, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, Mexico, <=50K\n65, Private,205309, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,24, United-States, <=50K\n34, Private,195576, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n20, Private,216825, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, Mexico, <=50K\n23, ?,329174, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,197036, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,181291, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,1564,50, United-States, >50K\n31, Private,206512, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n28, State-gov,38309, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,6849,0,40, United-States, <=50K\n37, Private,312766, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, Private,139671, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n66, Federal-gov,38621, Assoc-voc,11, Widowed, Other-service, Unmarried, Black, Female,3273,0,40, United-States, <=50K\n31, Private,124827, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,77820, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n45, Federal-gov,56904, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5013,0,45, United-States, <=50K\n45, Private,190115, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n44, Private,106682, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n32, Local-gov,42596, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,143058, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, >50K\n53, Private,102615, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, Canada, <=50K\n54, Private,139703, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, Germany, >50K\n43, Private,240124, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,132565, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n49, Private,323798, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,3325,0,50, United-States, <=50K\n52, Private,96359, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,57, United-States, >50K\n20, Private,165201, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,4, United-States, <=50K\n60, Federal-gov,165630, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,40, United-States, >50K\n45, Private,264526, Assoc-acdm,12, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Private,102359, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K\n28, Private,37359, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n61, ?,232618, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n48, Local-gov,115497, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,157747, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K\n27, Self-emp-not-inc,41099, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n38, Private,472604, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, Mexico, <=50K\n33, Private,348618, 5th-6th,3, Married-spouse-absent, Transport-moving, Unmarried, Other, Male,0,0,20, El-Salvador, <=50K\n43, Private,135606, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n36, Private,248445, HS-grad,9, Separated, Transport-moving, Other-relative, White, Male,0,0,60, Mexico, <=50K\n38, Private,112093, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n24, Local-gov,197552, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,303822, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,288566, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, ?,487411, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n46, Self-emp-not-inc,43348, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n39, State-gov,239409, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K\n50, Private,337606, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1485,40, United-States, <=50K\n34, Private,32528, Assoc-voc,11, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,974,40, United-States, <=50K\n47, State-gov,118447, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n46, Private,234690, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n23, ?,141003, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K\n43, Private,216042, Some-college,10, Divorced, Tech-support, Own-child, White, Female,0,1617,72, United-States, <=50K\n45, Private,190482, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n55, Private,381965, Bachelors,13, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n68, Private,186943, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,8, United-States, <=50K\n39, Private,142707, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,53447, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,127772, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,344414, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,194138, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n49, ?,558183, Assoc-voc,11, Married-spouse-absent, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,150154, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,306114, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n72, ?,177121, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,3, United-States, <=50K\n58, Local-gov,368797, Masters,14, Widowed, Prof-specialty, Unmarried, White, Male,0,0,35, United-States, >50K\n43, Self-emp-inc,175715, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,55, United-States, <=50K\n62, Private,416829, 11th,7, Separated, Other-service, Not-in-family, Black, Female,0,0,21, United-States, <=50K\n21, Private,350001, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n26, Private,339952, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n27, Private,114967, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,164190, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,38, United-States, >50K\n49, Local-gov,166039, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,250135, HS-grad,9, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,234960, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,1887,48, United-States, >50K\n29, Private,103628, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n58, Private,430005, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n45, Self-emp-inc,106517, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,162236, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Private,92430, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n52, Local-gov,40641, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n47, Private,169388, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K\n36, Local-gov,410034, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n48, Private,237525, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,65, United-States, >50K\n35, Private,150057, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,148549, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n43, Private,75742, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n33, Private,177675, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, >50K\n49, Local-gov,193249, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,266072, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,20, El-Salvador, <=50K\n28, ?,80165, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n25, Private,339324, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n69, ?,111238, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n41, Self-emp-not-inc,284086, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n31, Private,206051, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,426263, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K\n49, Private,102583, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,44, United-States, >50K\n40, Private,277647, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,124808, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, Germany, >50K\n47, Private,193061, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n50, Private,121411, 12th,8, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,89202, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K\n17, Private,232900, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n30, Local-gov,319280, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n79, ?,165209, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,193494, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n67, Self-emp-not-inc,195066, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,99146, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n35, Private,92028, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,174419, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,57916, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,383384, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,198223, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,45, United-States, >50K\n20, Private,109813, 11th,7, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K\n17, Private,174298, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n40, Private,45687, Some-college,10, Divorced, Other-service, Not-in-family, Black, Male,4787,0,50, United-States, >50K\n28, Private,263614, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,96128, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,220262, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,35340, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n47, Private,280483, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n52, Self-emp-inc,254211, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K\n29, Private,351324, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,58602, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n37, Private,64922, Bachelors,13, Separated, Other-service, Not-in-family, White, Male,0,0,70, England, <=50K\n41, Federal-gov,185616, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,1980,40, United-States, <=50K\n43, Private,185832, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K\n24, Private,254767, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,2105,0,50, United-States, <=50K\n39, Federal-gov,32312, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n47, Self-emp-not-inc,109421, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n42, Private,183205, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n39, Private,156897, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,2258,42, United-States, >50K\n48, Local-gov,145886, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K\n47, Local-gov,29819, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1977,50, United-States, >50K\n27, Private,244566, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,253801, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Ecuador, <=50K\n22, Private,181313, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n37, State-gov,150566, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K\n38, Private,237713, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n32, Private,112137, Preschool,1, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,4508,0,40, Cambodia, <=50K\n48, Local-gov,187969, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,80, United-States, <=50K\n46, Self-emp-not-inc,224108, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K\n51, Private,174754, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n28, Self-emp-inc,219705, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,55, United-States, <=50K\n35, Private,167062, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,190325, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K\n45, Private,108859, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,344351, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n73, Private,153127, Some-college,10, Widowed, Priv-house-serv, Unmarried, White, Female,0,0,10, United-States, <=50K\n52, Private,180881, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,183066, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Federal-gov,339002, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,185480, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, ?, >50K\n20, Private,172047, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K\n42, Private,94600, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n37, Private,302604, Some-college,10, Separated, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n40, Private,248094, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,36467, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n29, Private,53181, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n20, Private,181032, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,248990, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,40512, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,3674,0,30, United-States, <=50K\n37, Private,117381, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,80, United-States, >50K\n18, ?,173125, 12th,8, Never-married, ?, Own-child, White, Female,0,0,24, United-States, <=50K\n33, ?,316663, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,50, United-States, <=50K\n26, Private,154966, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n24, Private,198259, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n33, Private,167939, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n23, Private,131275, HS-grad,9, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n20, ?,236523, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n36, Private,272950, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n37, Private,174503, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n24, Private,116800, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,35, United-States, <=50K\n38, Private,110713, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n50, Private,202044, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K\n44, Private,300528, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,54985, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K\n57, Private,133126, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n37, Private,74593, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n44, Private,302424, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,55, United-States, <=50K\n21, Private,344492, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n31, Private,349148, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,222221, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,42, United-States, >50K\n45, Private,234699, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,60, United-States, >50K\n20, Local-gov,243178, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Private,189728, HS-grad,9, Separated, Priv-house-serv, Not-in-family, White, Female,0,0,50, United-States, <=50K\n47, Self-emp-not-inc,318593, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K\n41, Private,108681, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n40, Private,187376, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n41, State-gov,75409, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n46, Private,172581, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n49, Private,266150, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n65, Private,271092, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, ?, <=50K\n50, Private,135643, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female,0,0,40, China, <=50K\n59, Private,46466, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,130652, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n47, Local-gov,114459, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K\n47, ?,109832, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,5178,0,30, Canada, >50K\n45, Private,195554, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n17, Private,244589, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-inc,271901, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,32, United-States, >50K\n73, Private,139978, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,180446, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n64, ?,178724, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K\n38, State-gov,341643, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n37, Federal-gov,289653, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n62, Self-emp-inc,118725, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,20051,0,72, United-States, >50K\n26, Private,187891, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n46, Self-emp-inc,116338, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n46, Private,102771, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,40, United-States, >50K\n51, Private,89652, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,4787,0,24, United-States, >50K\n54, Federal-gov,439608, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Private,330144, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,251905, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n37, Private,218955, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,188972, Doctorate,16, Separated, Prof-specialty, Unmarried, White, Female,0,0,10, Canada, <=50K\n60, Self-emp-not-inc,25825, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n33, Private,202046, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,2001,40, United-States, <=50K\n62, Private,116104, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, Germany, <=50K\n20, Private,194891, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,125550, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,14084,0,35, United-States, >50K\n66, Private,116468, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,2936,0,20, United-States, <=50K\n32, ?,285131, Assoc-acdm,12, Never-married, ?, Unmarried, White, Male,0,0,20, United-States, <=50K\n29, State-gov,409201, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n70, Self-emp-inc,379819, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,10566,0,40, United-States, <=50K\n74, Private,97167, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,15, United-States, <=50K\n37, Local-gov,244803, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n51, Self-emp-not-inc,115851, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,118058, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n42, Private,258589, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K\n26, Private,158810, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, <=50K\n27, Local-gov,92431, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,2231,40, United-States, >50K\n58, Self-emp-not-inc,165695, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, <=50K\n30, ?,97281, Some-college,10, Separated, ?, Not-in-family, White, Male,0,0,60, United-States, <=50K\n32, Private,244147, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1876,50, United-States, <=50K\n66, Self-emp-inc,253741, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1825,10, United-States, >50K\n23, Private,170482, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K\n35, Private,241001, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, <=50K\n50, Private,165001, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n17, ?,297117, 11th,7, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,340260, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,48, United-States, <=50K\n31, Private,96480, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n30, Private,185177, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,49, United-States, <=50K\n84, Self-emp-inc,172907, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K\n35, Self-emp-not-inc,308874, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,54098, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n46, Private,288608, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,254148, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n37, Private,111128, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,171116, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n53, Self-emp-inc,96062, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,48, United-States, >50K\n27, Federal-gov,276776, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,152878, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,149211, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,58343, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n38, Private,127601, Some-college,10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,35, United-States, <=50K\n29, Private,357781, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,137367, Some-college,10, Never-married, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male,0,0,44, Philippines, <=50K\n34, Private,110978, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n31, Private,34503, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,84119, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, United-States, <=50K\n20, Private,223515, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,372525, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,0,0,48, United-States, <=50K\n32, Private,116365, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K\n36, Private,111268, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n54, Private,225599, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7298,0,40, India, >50K\n78, ?,83511, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Portugal, <=50K\n46, Self-emp-not-inc,199596, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n18, Private,301867, HS-grad,9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K\n57, Private,191983, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K\n37, Private,105803, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,456236, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,116255, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n32, Private,235109, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Federal-gov,91716, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,121102, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,2001,30, United-States, <=50K\n70, Private,235781, Some-college,10, Divorced, Farming-fishing, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n40, Private,136986, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n40, Self-emp-not-inc,33658, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,53878, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n29, Private,200928, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,173736, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n28, Private,214385, Assoc-voc,11, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K\n58, Private,102509, 10th,6, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n38, Private,173047, Bachelors,13, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,213,40, Philippines, <=50K\n59, Self-emp-not-inc,241297, Some-college,10, Widowed, Farming-fishing, Not-in-family, White, Female,6849,0,40, United-States, <=50K\n18, Private,329054, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n40, Private,274158, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-inc,241153, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,200117, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,1887,50, ?, >50K\n45, Private,229516, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,72, Mexico, <=50K\n62, ?,250091, Bachelors,13, Divorced, ?, Not-in-family, White, Male,0,0,5, United-States, <=50K\n24, State-gov,247075, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,20, United-States, <=50K\n22, Private,315524, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,30, Dominican-Republic, <=50K\n23, Private,126945, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,29874, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, >50K\n28, Private,115579, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,38, United-States, <=50K\n51, Private,29580, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,4386,0,30, United-States, >50K\n44, Private,56483, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,37, United-States, <=50K\n73, ?,89852, 1st-4th,2, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Portugal, <=50K\n24, Private,420779, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,35, United-States, <=50K\n24, Private,255474, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,241444, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,50, Puerto-Rico, <=50K\n43, Private,85995, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n67, Self-emp-inc,116986, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n31, Private,217962, 12th,8, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, ?, <=50K\n36, Private,20507, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,50, United-States, >50K\n43, Private,184099, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,117816, 7th-8th,4, Divorced, Handlers-cleaners, Other-relative, White, Male,0,0,70, United-States, <=50K\n23, Private,263899, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, Haiti, <=50K\n26, Private,45869, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Private,186539, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,326310, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n55, Local-gov,84564, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,39, United-States, <=50K\n49, Private,247294, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n34, Private,72793, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K\n29, Private,261375, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,60, United-States, <=50K\n50, Private,77905, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K\n19, Private,66838, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,9, United-States, <=50K\n63, State-gov,194682, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n66, Private,180211, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,30, Philippines, <=50K\n65, ?,79272, Some-college,10, Widowed, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,6, United-States, <=50K\n60, Private,101198, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n60, Private,80574, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K\n19, Private,198663, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Self-emp-inc,160340, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n75, Self-emp-not-inc,205860, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1735,40, United-States, <=50K\n58, State-gov,69579, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n18, Self-emp-not-inc,379242, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n65, Private,113323, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,3818,0,40, United-States, <=50K\n50, Self-emp-not-inc,312477, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n26, Private,259505, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Federal-gov,171335, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n19, ?,541282, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Federal-gov,155970, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,99682, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,52, Canada, >50K\n23, Private,117789, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,296158, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Local-gov,78859, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n59, ?,188070, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, >50K\n50, Private,189811, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, State-gov,518030, Bachelors,13, Never-married, Protective-serv, Not-in-family, Black, Male,0,1590,40, Puerto-Rico, <=50K\n32, Private,360593, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,30, United-States, <=50K\n40, Private,145504, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K\n19, Private,459248, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n30, ?,288419, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Mexico, <=50K\n42, State-gov,126094, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Male,0,0,39, United-States, <=50K\n23, Private,209483, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,50, United-States, <=50K\n37, Self-emp-not-inc,32239, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,27828,0,40, United-States, >50K\n21, Private,210355, 11th,7, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,24, United-States, <=50K\n28, Private,84547, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n50, ?,260579, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n20, Private,105585, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K\n21, Private,132320, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n21, Private,129172, Some-college,10, Never-married, Other-service, Other-relative, White, Male,0,0,16, United-States, <=50K\n45, Self-emp-not-inc,222374, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-inc,201498, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n53, Self-emp-inc,251675, Some-college,10, Divorced, Sales, Not-in-family, White, Male,8614,0,50, Cuba, >50K\n41, Private,114157, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Local-gov,148121, Bachelors,13, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n73, ?,84053, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K\n34, Private,96480, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,179423, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n58, State-gov,123329, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, <=50K\n41, Private,134130, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n53, Private,188644, Preschool,1, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n40, Private,226388, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,209205, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n32, Private,209808, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1740,47, United-States, <=50K\n44, Self-emp-inc,56236, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,2202,0,45, United-States, <=50K\n18, Private,28648, 11th,7, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n37, State-gov,34996, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,281422, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,45, United-States, <=50K\n22, Private,214716, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Private,314177, 10th,6, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K\n51, Private,112310, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n63, Private,203783, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,72, United-States, <=50K\n29, Private,205499, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, <=50K\n44, Private,145441, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,48, United-States, >50K\n44, Private,155701, 7th-8th,4, Separated, Other-service, Unmarried, White, Female,0,0,38, Peru, <=50K\n37, State-gov,186934, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n62, Federal-gov,209433, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n31, Private,80933, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K\n20, Private,102607, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n48, Private,254809, 10th,6, Divorced, Machine-op-inspct, Unmarried, White, Female,0,1594,32, United-States, <=50K\n24, Self-emp-not-inc,102942, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n56, State-gov,175057, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n36, Federal-gov,68781, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K\n29, Private,108594, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,98283, Prof-school,15, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,1564,40, India, >50K\n39, Private,56269, Some-college,10, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n29, Private,152503, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,45, United-States, <=50K\n38, Self-emp-inc,206951, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K\n23, Private,82393, 9th,5, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,20, Philippines, <=50K\n37, Private,167396, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Guatemala, <=50K\n30, Self-emp-not-inc,123397, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n58, ?,147653, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,36, United-States, <=50K\n42, Private,118652, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n59, Local-gov,114401, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,1504,19, United-States, <=50K\n45, Private,186272, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,7298,0,40, United-States, >50K\n46, Private,182689, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,231016, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,4650,0,37, United-States, <=50K\n41, Self-emp-inc,60949, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n49, Private,129513, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,84306, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,117507, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n22, Private,88050, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,6, United-States, <=50K\n22, Private,305498, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,33, United-States, <=50K\n17, Private,295308, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,20, United-States, <=50K\n47, Private,114459, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,176017, 10th,6, Never-married, Other-service, Other-relative, White, Male,0,0,15, United-States, <=50K\n39, Private,248445, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n23, Private,214542, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n41, Private,384508, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Federal-gov,403489, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n52, Private,143953, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n21, Private,254904, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,30, United-States, <=50K\n33, Private,98995, 10th,6, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,36, United-States, <=50K\n17, ?,237078, 11th,7, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n41, Private,193995, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K\n19, Private,205829, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n38, Federal-gov,205852, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, >50K\n24, Private,37072, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,275338, Bachelors,13, Divorced, Sales, Unmarried, White, Female,1151,0,40, United-States, <=50K\n39, State-gov,122353, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n19, Private,100009, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n31, ?,37030, Assoc-acdm,12, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n42, Private,135056, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n36, Private,135162, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,45, ?, <=50K\n29, Private,280618, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,226717, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n47, Local-gov,173938, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,291355, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n61, Federal-gov,160155, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-not-inc,29762, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n31, ?,82473, 9th,5, Divorced, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n59, Private,172071, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,38, Jamaica, <=50K\n29, Private,166210, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,55, United-States, <=50K\n26, Private,330263, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,247043, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n56, Federal-gov,155238, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,130557, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,56986, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,18, United-States, <=50K\n29, Private,220692, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n23, Private,121650, 5th-6th,3, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,30, United-States, <=50K\n67, Private,174603, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n29, Private,341846, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n33, Private,99339, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,880,40, United-States, <=50K\n32, Private,34437, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,141058, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,62, Mexico, <=50K\n49, Private,192323, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,117674, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K\n39, Private,28572, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,120277, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,164309, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n47, Federal-gov,102771, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,147951, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,1, United-States, <=50K\n23, Private,188409, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,4508,0,25, United-States, <=50K\n44, Private,173888, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, >50K\n25, Private,247006, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n23, Private,82889, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K\n52, Private,259363, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n62, Federal-gov,159165, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,36, United-States, <=50K\n31, Private,112062, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,299050, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n22, ?,186452, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,36, United-States, <=50K\n53, Private,548580, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Guatemala, <=50K\n25, Private,234057, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,241350, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n69, Private,108196, 9th,5, Never-married, Craft-repair, Other-relative, White, Male,2993,0,40, United-States, <=50K\n49, Private,278322, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,157443, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,27, Taiwan, >50K\n44, Self-emp-not-inc,37618, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n56, Local-gov,238582, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, >50K\n37, State-gov,28887, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,77820, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n22, Private,110946, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Local-gov,230420, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,206521, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, ?,156877, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,20, United-States, <=50K\n28, Local-gov,283227, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K\n28, Private,141957, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,58337, 10th,6, Never-married, Sales, Unmarried, White, Female,0,0,35, ?, <=50K\n73, Local-gov,161027, 5th-6th,3, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,20, United-States, <=50K\n37, Self-emp-not-inc,31670, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n24, Private,205844, Bachelors,13, Never-married, Exec-managerial, Own-child, Black, Female,0,0,65, United-States, <=50K\n30, State-gov,46144, HS-grad,9, Married-AF-spouse, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K\n38, Private,168055, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,98350, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n69, ?,182668, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, >50K\n43, Private,208613, Prof-school,15, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,99999,0,40, United-States, >50K\n42, Private,334522, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n54, State-gov,187686, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n27, State-gov,365916, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,58, United-States, <=50K\n39, Private,190719, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n27, Private,218184, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K\n30, Private,222162, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,66, United-States, <=50K\n30, Private,148524, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2057,40, United-States, <=50K\n37, Private,267085, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Federal-gov,307555, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K\n36, Private,229180, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, Cuba, <=50K\n22, Private,279041, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,10, United-States, <=50K\n21, Private,312017, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,54782, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1579,42, United-States, <=50K\n76, Private,70697, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n22, ?,263970, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,28, United-States, <=50K\n37, Private,188774, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,302770, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n29, Private,183639, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,97, United-States, <=50K\n29, Private,178551, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,175343, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n73, Self-emp-not-inc,190078, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n43, Private,117627, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n39, Private,108419, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n74, Private,183701, 10th,6, Widowed, Other-service, Not-in-family, Black, Female,0,0,6, United-States, <=50K\n27, State-gov,208406, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n47, Private,148884, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n90, Private,87285, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n47, Private,199058, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n42, Private,173628, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n69, Private,370837, Bachelors,13, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, ?,179484, 12th,8, Never-married, ?, Own-child, Other, Male,0,0,40, United-States, <=50K\n23, Private,342769, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,20, United-States, <=50K\n44, Local-gov,65145, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n41, Private,150533, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,2829,0,40, United-States, <=50K\n47, Local-gov,272182, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n43, Private,403467, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,7688,0,40, United-States, >50K\n33, Private,252168, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n48, Private,80430, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n39, Private,189623, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,60, United-States, <=50K\n43, Private,115806, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,2547,40, United-States, >50K\n18, ?,28357, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n52, Private,226084, HS-grad,9, Widowed, Priv-house-serv, Other-relative, White, Female,0,0,40, United-States, <=50K\n18, Private,150817, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n27, Self-emp-inc,190911, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K\n27, Self-emp-inc,120126, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,45, United-States, >50K\n45, Local-gov,255559, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n79, ?,142370, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K\n24, Private,173679, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n25, Private,35854, Some-college,10, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,82161, 10th,6, Widowed, Transport-moving, Unmarried, White, Male,0,0,35, United-States, <=50K\n63, Self-emp-not-inc,129845, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,226505, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,46, United-States, >50K\n47, Private,151584, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K\n42, Private,136419, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n42, Private,66460, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n63, Local-gov,379940, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, Local-gov,102936, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,55, United-States, <=50K\n65, Private,205309, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,20, United-States, <=50K\n30, ?,156890, 10th,6, Divorced, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n62, Private,208711, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,50, United-States, >50K\n46, Private,137547, HS-grad,9, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n23, Private,220168, HS-grad,9, Never-married, Sales, Other-relative, Black, Female,0,0,25, Jamaica, <=50K\n47, Local-gov,37672, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, <=50K\n20, Private,196643, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n21, ?,355686, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K\n28, Private,197484, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n61, Local-gov,115023, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n30, State-gov,234824, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,72, United-States, <=50K\n30, State-gov,361497, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K\n29, Private,351871, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n39, Private,324231, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,123490, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n32, Private,188245, 11th,7, Never-married, Priv-house-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K\n63, Private,50349, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K\n19, Self-emp-not-inc,47176, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,15, United-States, <=50K\n57, State-gov,290661, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K\n41, Private,221172, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,188950, Assoc-voc,11, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,356882, Doctorate,16, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n43, Self-emp-inc,150533, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n64, Self-emp-not-inc,167149, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K\n56, Private,301835, 5th-6th,3, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,313729, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,130957, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n17, Private,197732, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K\n17, Private,250541, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n29, Private,218785, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,65, United-States, <=50K\n23, ?,232512, HS-grad,9, Separated, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Private,194630, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n39, Private,38721, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,22, United-States, <=50K\n36, Private,201519, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n50, Private,279337, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n41, ?,27187, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,2415,12, United-States, >50K\n31, Private,87560, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,50, United-States, <=50K\n71, ?,100820, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,2489,15, United-States, <=50K\n56, Private,208431, Some-college,10, Widowed, Exec-managerial, Not-in-family, Black, Female,0,0,32, United-States, <=50K\n51, Private,143822, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n20, Private,163205, Some-college,10, Separated, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n53, Private,171924, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,14344,0,55, United-States, >50K\n33, State-gov,137616, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n27, Private,156516, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,2377,20, United-States, <=50K\n40, Private,119101, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n45, Private,117556, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,32, United-States, <=50K\n54, Private,147863, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,5013,0,40, Vietnam, <=50K\n33, Self-emp-not-inc,24504, HS-grad,9, Separated, Craft-repair, Other-relative, White, Male,0,0,50, United-States, <=50K\n27, ?,157624, HS-grad,9, Separated, ?, Other-relative, White, Female,0,0,40, United-States, <=50K\n36, Private,181721, 10th,6, Never-married, Farming-fishing, Own-child, Black, Male,0,0,60, United-States, <=50K\n42, Local-gov,55363, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n33, Private,92865, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,258633, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, ?, <=50K\n52, Federal-gov,221532, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n41, Local-gov,183224, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, Taiwan, >50K\n30, Private,381153, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,300871, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,33710, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,60, United-States, >50K\n26, Private,158333, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, Columbia, <=50K\n36, Private,288103, 11th,7, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,108907, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n46, Private,358533, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K\n24, Private,126613, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,8, United-States, <=50K\n30, Private,164190, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,52, United-States, >50K\n38, Private,199816, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,98228, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K\n41, Local-gov,129060, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, Private,22245, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n36, Private,226918, Bachelors,13, Never-married, Sales, Not-in-family, Black, Male,0,0,48, United-States, <=50K\n47, Private,398652, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n59, Private,268840, Some-college,10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,16, United-States, >50K\n35, ?,103710, Bachelors,13, Divorced, ?, Unmarried, White, Female,0,0,16, ?, <=50K\n59, Private,91384, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n52, Private,174767, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n37, Self-emp-inc,126675, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n52, Private,82285, Bachelors,13, Married-spouse-absent, Other-service, Other-relative, Black, Female,0,0,40, Haiti, <=50K\n51, Private,177727, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n67, Self-emp-not-inc,345236, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n58, ?,347692, 11th,7, Divorced, ?, Not-in-family, Black, Male,0,0,15, United-States, <=50K\n68, Private,156000, 10th,6, Widowed, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K\n71, Private,228806, 9th,5, Divorced, Priv-house-serv, Not-in-family, Black, Female,0,0,6, United-States, <=50K\n49, Local-gov,184428, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,102938, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,161063, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,253752, 10th,6, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,274800, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,129804, 9th,5, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K\n22, Federal-gov,65547, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n20, Private,107658, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,10, United-States, <=50K\n57, Private,161097, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,26, United-States, <=50K\n18, Private,118376, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n32, Private,131224, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,120985, HS-grad,9, Divorced, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,215392, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,63685, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, Cambodia, <=50K\n48, Private,131826, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,211440, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K\n35, Private,31023, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n40, Private,145439, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Other, Male,4064,0,40, Mexico, <=50K\n19, Private,255161, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K\n28, Private,411950, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,275818, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,1974,40, United-States, <=50K\n18, Private,318082, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n23, Local-gov,287988, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Local-gov,138342, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,3411,0,40, El-Salvador, <=50K\n42, Federal-gov,115932, Bachelors,13, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,60358, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Private,140117, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K\n34, Private,158040, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n30, Self-emp-inc,321990, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, ?, >50K\n29, Private,232784, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,349368, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n46, Federal-gov,325573, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n69, Private,140176, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, <=50K\n50, Private,128478, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n19, ?,318264, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n59, Private,147989, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K\n45, Federal-gov,155659, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n41, State-gov,288433, Masters,14, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n47, Federal-gov,329205, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n64, Private,171373, 11th,7, Widowed, Farming-fishing, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,228860, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K\n29, Private,196116, Prof-school,15, Divorced, Prof-specialty, Own-child, White, Female,2174,0,72, United-States, <=50K\n17, Private,47771, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n24, Private,201680, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,60, United-States, <=50K\n28, Private,337378, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,246449, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,3325,0,50, United-States, <=50K\n48, Private,227714, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n36, Private,177285, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,38, United-States, <=50K\n38, Private,71701, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, Portugal, <=50K\n49, Private,30219, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1669,40, United-States, <=50K\n42, Private,280167, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Self-emp-inc,27408, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,167031, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Columbia, <=50K\n41, Private,173682, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,278557, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n32, Private,113688, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n41, Self-emp-not-inc,252986, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,33669, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n56, Private,100776, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K\n47, Self-emp-not-inc,177457, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n30, State-gov,312767, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n51, Private,43354, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n22, Self-emp-inc,375422, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, South, <=50K\n49, Self-emp-not-inc,263568, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n67, ?,74335, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,10, Germany, <=50K\n26, Private,302097, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464,0,48, United-States, <=50K\n35, Private,248010, Bachelors,13, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n37, ?,87369, 9th,5, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,405577, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, State-gov,167065, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,102476, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n28, Federal-gov,526528, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,3887,0,40, United-States, <=50K\n32, Private,175878, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n55, Private,213894, 11th,7, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n17, Private,150262, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n40, Private,75363, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,272671, Bachelors,13, Divorced, Sales, Own-child, White, Male,0,0,50, United-States, <=50K\n67, Self-emp-inc,411007, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,15831,0,40, United-States, >50K\n44, Private,222434, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,180246, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n25, Private,171236, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Private,367037, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,304651, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n62, Private,97017, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n20, Private,146879, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,2001,40, United-States, <=50K\n45, State-gov,320818, Some-college,10, Married-spouse-absent, Other-service, Other-relative, Black, Male,0,0,40, Haiti, <=50K\n47, Self-emp-not-inc,84735, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K\n49, Private,184428, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,326886, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n24, ?,169624, HS-grad,9, Divorced, ?, Unmarried, Black, Female,0,0,37, United-States, <=50K\n29, Private,212102, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n23, Private,175837, 11th,7, Never-married, Farming-fishing, Other-relative, White, Female,0,0,40, Puerto-Rico, <=50K\n50, Private,177487, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,286750, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1902,40, United-States, >50K\n44, Private,171424, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,194981, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,36, United-States, <=50K\n73, Private,199362, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n24, Private,204226, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, State-gov,72506, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K\n61, Self-emp-inc,61040, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,36, United-States, >50K\n37, Federal-gov,194630, Masters,14, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,391867, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,94080, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,289405, 11th,7, Never-married, Machine-op-inspct, Own-child, Other, Male,0,0,12, United-States, <=50K\n30, Private,170130, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,158118, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,1719,40, United-States, <=50K\n30, Private,447739, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n90, ?,39824, HS-grad,9, Widowed, ?, Not-in-family, White, Male,401,0,4, United-States, <=50K\n76, ?,312500, 5th-6th,3, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Private,223342, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,1504,35, United-States, <=50K\n65, ?,293385, Preschool,1, Married-civ-spouse, ?, Husband, Black, Male,0,0,30, United-States, <=50K\n25, Private,106377, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,66118, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Private,274883, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n27, Local-gov,123773, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n42, Local-gov,70655, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n49, Private,177426, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n37, Private,200374, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n19, State-gov,159269, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K\n24, Private,235894, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K\n34, Local-gov,97723, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,167309, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,98106, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Federal-gov,22201, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,7298,0,40, Philippines, >50K\n45, Private,108993, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,265954, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,100960, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n45, Private,170092, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n54, Private,326156, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,216932, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n69, Private,36956, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,50, United-States, >50K\n24, Private,214014, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n36, Private,99872, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n61, State-gov,151459, 10th,6, Never-married, Other-service, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n57, Self-emp-inc,161662, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K\n56, Private,367200, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n35, Private,86648, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K\n51, Local-gov,168539, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n50, Private,140741, 11th,7, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K\n25, Private,197651, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,43, United-States, <=50K\n46, Private,123053, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, Japan, >50K\n23, Private,330571, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n44, Private,204235, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n38, State-gov,346766, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, ?,257250, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,163396, Some-college,10, Never-married, Tech-support, Not-in-family, Other, Female,0,0,40, United-States, <=50K\n78, ?,135839, HS-grad,9, Widowed, ?, Not-in-family, White, Female,1086,0,20, United-States, <=50K\n18, Private,36251, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n40, Private,149102, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,2174,0,60, Poland, <=50K\n61, ?,222395, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n31, State-gov,29152, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n33, Private,79303, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,272338, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, State-gov,200497, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n19, Private,148392, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n31, Private,164243, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,40, United-States, <=50K\n43, State-gov,129298, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n49, Local-gov,174981, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,47, United-States, >50K\n48, Local-gov,328610, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,77774, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,34, United-States, <=50K\n38, State-gov,134069, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K\n35, Private,209214, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,4386,0,35, United-States, >50K\n29, Private,153805, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Other, Male,0,0,40, Ecuador, <=50K\n27, Private,168827, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,2, United-States, <=50K\n31, Private,373432, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K\n26, Private,57600, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n53, Self-emp-not-inc,302847, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n23, Private,227594, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n32, Federal-gov,44777, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,46, United-States, <=50K\n54, ?,133963, HS-grad,9, Widowed, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,279615, Bachelors,13, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,276133, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n62, Private,136314, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n41, Private,204410, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,44, United-States, >50K\n59, Self-emp-inc,223215, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n43, Private,184625, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n34, Self-emp-inc,265917, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,158647, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,22055, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n41, Local-gov,176716, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n42, Private,270721, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,32, United-States, <=50K\n24, Private,100321, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K\n35, Private,79050, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Male,0,0,72, United-States, <=50K\n40, Local-gov,42703, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n46, Private,116952, 7th-8th,4, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, <=50K\n45, Private,331643, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,207937, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1092,40, United-States, <=50K\n68, Private,223486, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,7, England, <=50K\n33, Private,340332, Bachelors,13, Separated, Exec-managerial, Not-in-family, Black, Female,0,0,45, United-States, <=50K\n23, Private,184813, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n42, Self-emp-not-inc,32185, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n30, Private,197886, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, >50K\n35, State-gov,248374, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n40, Private,382499, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n36, State-gov,108320, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,5455,0,30, United-States, <=50K\n46, Self-emp-inc,161386, 9th,5, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, United-States, <=50K\n49, Local-gov,110172, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,144032, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n26, Private,224426, Masters,14, Never-married, Exec-managerial, Own-child, White, Male,0,0,38, United-States, <=50K\n37, Private,230408, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n50, Local-gov,20795, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,174714, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n59, State-gov,398626, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Male,25236,0,45, United-States, >50K\n30, Private,149531, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,34113, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n44, Local-gov,323790, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,331381, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,160647, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, Ireland, >50K\n34, Private,339142, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n58, Private,164857, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,99, United-States, <=50K\n33, Local-gov,267859, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,167725, Bachelors,13, Married-spouse-absent, Transport-moving, Not-in-family, Other, Male,0,0,84, India, <=50K\n49, Federal-gov,586657, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n67, Self-emp-not-inc,105907, 1st-4th,2, Widowed, Other-service, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n23, Private,200677, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,193882, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,138026, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n49, Private,122385, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,49020, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n26, Private,283715, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,286406, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n36, Private,166416, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,156334, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,45607, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K\n40, Local-gov,112362, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,200419, Assoc-acdm,12, Separated, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n42, State-gov,341638, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n25, ?,34161, 12th,8, Separated, ?, Unmarried, White, Female,0,0,30, United-States, <=50K\n50, Self-emp-not-inc,127151, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, Canada, >50K\n52, Private,321959, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, >50K\n51, Local-gov,35211, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n19, Private,214935, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,132130, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,222247, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,165799, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n30, Private,257874, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n38, Private,357173, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, State-gov,305739, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,172047, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,110677, Some-college,10, Separated, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n21, ?,405684, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,35, Mexico, <=50K\n60, Private,82388, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, <=50K\n45, Private,289230, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,48, United-States, >50K\n26, Private,101812, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,5721,0,40, United-States, <=50K\n49, State-gov,336509, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,383402, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n47, Private,328216, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, United-States, >50K\n40, Private,280362, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n34, Private,212064, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,7443,0,35, United-States, <=50K\n42, Private,173704, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,433375, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Mexico, <=50K\n63, Self-emp-not-inc,106551, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,22418, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,54816, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,358199, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n43, Private,190044, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,97698, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,32, United-States, <=50K\n56, Private,53366, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,236136, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n44, Private,326232, 7th-8th,4, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K\n34, Private,581071, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, >50K\n40, Private,220589, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Federal-gov,161463, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n44, Private,95255, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Federal-gov,223267, Some-college,10, Divorced, Protective-serv, Own-child, White, Male,0,0,72, United-States, <=50K\n22, Private,236769, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, England, <=50K\n58, Self-emp-inc,229498, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,20, United-States, >50K\n43, Private,177083, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,30, United-States, <=50K\n23, Private,287681, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, Columbia, <=50K\n41, Private,49797, Some-college,10, Separated, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n44, Private,174051, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n32, Private,194901, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,252250, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, >50K\n47, Private,191277, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,174907, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n39, Private,167140, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,236543, 12th,8, Divorced, Protective-serv, Own-child, White, Male,0,0,54, Mexico, <=50K\n40, Private,214242, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,216864, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,3770,45, United-States, <=50K\n34, Private,245211, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,2036,0,30, United-States, <=50K\n57, Private,437727, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K\n71, Private,200418, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n45, Local-gov,167334, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n54, Private,146834, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n26, Private,78424, Assoc-voc,11, Never-married, Sales, Unmarried, White, Female,0,0,54, United-States, <=50K\n37, Private,182675, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K\n28, Self-emp-not-inc,38079, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n42, Private,115178, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,15, United-States, <=50K\n45, Private,195949, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,167415, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n57, Private,223214, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,22245, Bachelors,13, Married-civ-spouse, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n45, State-gov,81853, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, United-States, >50K\n30, Private,147921, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,46, United-States, <=50K\n27, Private,29261, HS-grad,9, Married-AF-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,257758, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n44, State-gov,136546, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n38, Private,205493, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, United-States, >50K\n19, Private,71650, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,150217, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K\n55, Self-emp-inc,258648, 10th,6, Widowed, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Private,114798, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n43, Private,186188, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Local-gov,175255, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K\n45, Private,249935, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n44, Private,120277, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K\n26, Private,193165, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,52, United-States, >50K\n32, Private,185027, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, Ireland, >50K\n21, Private,221418, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Federal-gov,56063, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,153927, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, State-gov,163110, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n40, Self-emp-inc,175696, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,51, United-States, <=50K\n46, Private,143189, 5th-6th,3, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, Dominican-Republic, <=50K\n20, ?,114969, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n54, State-gov,32778, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,150683, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,78104, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,335005, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,3137,0,40, United-States, <=50K\n50, Local-gov,311551, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n42, Self-emp-not-inc,201520, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,124111, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n60, Private,166386, 11th,7, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,30, Hong, <=50K\n43, State-gov,117471, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,361307, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,142038, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,45, United-States, <=50K\n35, Private,276552, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,50402, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,174090, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n27, Private,277760, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,24243, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1590,40, United-States, <=50K\n44, Self-emp-inc,151089, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,70, United-States, >50K\n52, Self-emp-not-inc,165278, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,22, United-States, <=50K\n49, Private,182752, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n31, Private,173002, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Private,261232, 11th,7, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,164607, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,129573, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n51, Federal-gov,36186, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,325744, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,329793, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n46, Private,133616, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Private,83401, 5th-6th,3, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n76, Private,239880, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K\n25, Private,201737, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Private,192182, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K\n33, Private,143540, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,28334, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,245873, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n42, Local-gov,199095, Assoc-voc,11, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n53, Private,104461, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,8614,0,50, Italy, >50K\n33, Local-gov,183923, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,35, United-States, >50K\n30, Private,129707, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,35, United-States, >50K\n41, Local-gov,575442, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, State-gov,184682, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,69251, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n31, Private,225507, Assoc-voc,11, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,167515, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n35, Private,407068, 1st-4th,2, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n40, Private,170019, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, ?, <=50K\n46, Local-gov,125892, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n43, Local-gov,35824, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n35, Private,67083, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n23, Private,107801, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n50, Self-emp-not-inc,95577, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,12, ?, <=50K\n43, Private,118536, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, Black, Male,0,0,40, United-States, <=50K\n61, Private,198078, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,78261, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K\n21, Private,234108, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,241998, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1672,50, United-States, <=50K\n40, Private,92717, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,257683, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n90, Private,40388, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K\n24, Private,55424, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,169600, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,2176,0,12, United-States, <=50K\n40, Local-gov,319271, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n37, Self-emp-not-inc,75050, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n31, Private,182896, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,188274, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,211497, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,113806, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, ?, >50K\n47, Local-gov,172246, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n48, Local-gov,219962, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, ?,186815, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n26, ?,132749, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,80, United-States, <=50K\n28, Private,209801, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n20, State-gov,178517, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,169364, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, Ireland, <=50K\n32, Federal-gov,164707, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n55, Private,144084, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,133692, Bachelors,13, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,184169, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,35, United-States, >50K\n45, Self-emp-inc,145290, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n65, Local-gov,24824, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,178319, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n22, Private,235829, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n22, ?,196280, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n42, Self-emp-not-inc,54202, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,220237, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K\n24, Private,59146, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n67, Private,64148, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,41, United-States, <=50K\n28, Private,196621, HS-grad,9, Married-spouse-absent, Tech-support, Not-in-family, White, Female,0,0,37, United-States, <=50K\n56, Private,195668, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, Cuba, >50K\n31, State-gov,263000, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, <=50K\n33, Private,554986, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, ?,108211, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,217654, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Germany, >50K\n53, Private,139671, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n47, Private,102771, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Portugal, <=50K\n40, Private,213019, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n35, Private,228493, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,48, United-States, <=50K\n65, Self-emp-not-inc,22907, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,24364, Some-college,10, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,30, United-States, <=50K\n23, Federal-gov,41432, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K\n39, Private,235259, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,343476, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n37, Private,326886, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,248313, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,30290, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,188540, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n39, Private,237943, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K\n25, Private,198870, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Male,0,0,35, United-States, <=50K\n30, Private,233980, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,171090, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,48, United-States, <=50K\n22, Private,353039, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,0,0,36, Mexico, <=50K\n46, Federal-gov,213140, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n54, Private,188136, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,1408,38, United-States, <=50K\n33, Private,130057, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n70, State-gov,345339, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,182074, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n53, Local-gov,176557, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n55, State-gov,71630, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,1617,40, United-States, <=50K\n17, Private,159849, 11th,7, Never-married, Protective-serv, Own-child, White, Female,0,0,30, United-States, <=50K\n36, Private,183425, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,125933, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K\n40, Local-gov,180123, HS-grad,9, Married-spouse-absent, Farming-fishing, Own-child, Black, Male,0,0,40, United-States, <=50K\n36, Private,592930, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, >50K\n28, Private,183802, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n39, Private,77005, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K\n49, Private,80914, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n63, Self-emp-inc,165667, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,123991, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,20, United-States, <=50K\n48, Self-emp-inc,181307, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n55, Private,124137, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Poland, <=50K\n18, ?,137363, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,4, United-States, <=50K\n20, Private,291979, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,20, United-States, <=50K\n49, Private,91251, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n27, Federal-gov,148153, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n37, Private,131463, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,33, United-States, <=50K\n32, State-gov,127651, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-inc,239018, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n47, Private,276087, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,26, United-States, <=50K\n34, Private,386877, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n61, Private,210464, HS-grad,9, Divorced, Adm-clerical, Other-relative, Black, Female,0,0,35, United-States, <=50K\n25, Private,632834, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n26, Private,245465, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n18, Private,198087, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n35, Private,27408, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,242713, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, ?, <=50K\n56, Private,314727, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K\n40, State-gov,269733, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,177287, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K\n66, Private,167711, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, >50K\n42, Private,112181, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n28, Private,339002, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K\n39, State-gov,24721, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n65, Self-emp-not-inc,37092, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K\n20, Private,216563, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n52, Private,204447, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,40, United-States, >50K\n24, ?,151153, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,99999,0,50, South, >50K\n39, Private,187089, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,423052, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,30, United-States, <=50K\n49, Private,169180, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Hong, <=50K\n21, Private,104981, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,48, United-States, <=50K\n35, ?,120074, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n38, Private,269323, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,141549, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,214858, 10th,6, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,55, United-States, <=50K\n34, Private,173524, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n54, Local-gov,365049, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n38, Private,60355, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,86808, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n33, State-gov,174171, Some-college,10, Separated, Tech-support, Not-in-family, White, Male,0,0,12, United-States, <=50K\n32, Federal-gov,504951, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,294064, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, France, <=50K\n46, Private,120131, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, >50K\n48, Private,199058, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,152328, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Federal-gov,88564, 7th-8th,4, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n67, Private,95113, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,37, United-States, >50K\n36, Private,247558, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,60, ?, >50K\n25, Private,178421, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n43, Private,484861, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,38, United-States, <=50K\n27, Local-gov,225291, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Private,205735, 1st-4th,2, Separated, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,58898, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,48, United-States, <=50K\n39, Private,355468, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1887,46, United-States, >50K\n60, Self-emp-not-inc,184362, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,25, United-States, <=50K\n27, Private,347513, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,138768, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,29810, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,126501, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,60783, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,15, United-States, <=50K\n26, Private,179772, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n45, Self-emp-inc,281911, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n33, Private,70447, HS-grad,9, Never-married, Transport-moving, Other-relative, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n55, ?,449576, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,48, Mexico, <=50K\n29, Private,327964, 9th,5, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n72, Private,496538, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,6360,0,40, United-States, <=50K\n35, Self-emp-not-inc,153066, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n53, State-gov,77651, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,119493, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,256240, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n69, Private,177374, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,1848,0,12, United-States, <=50K\n41, Local-gov,37848, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n45, Private,129336, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,183511, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-inc,120131, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K\n55, Private,190508, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,35, United-States, <=50K\n31, Private,363130, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n45, Private,240356, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,55, United-States, <=50K\n64, Private,133166, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,5, United-States, <=50K\n38, Private,32916, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n17, Private,117477, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,34748, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1887,20, United-States, >50K\n22, Private,459463, 12th,8, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,50, United-States, <=50K\n23, Private,95989, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n25, Private,118088, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n33, Private,150570, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,43, United-States, >50K\n31, ?,505438, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,30, Mexico, <=50K\n37, Private,179731, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n53, Private,122109, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,1876,38, United-States, <=50K\n28, Local-gov,163942, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,106670, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n41, Private,123403, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n61, Self-emp-inc,119986, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,66622, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n20, ?,40060, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,56, United-States, <=50K\n35, Private,260578, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K\n64, Local-gov,96076, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,70604, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K\n39, Self-emp-not-inc,230329, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,1564,12, United-States, >50K\n53, Private,49715, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n28, Private,116531, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Federal-gov,214542, Some-college,10, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K\n25, Local-gov,335005, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, Italy, <=50K\n19, Private,258633, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n20, Private,203240, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n27, Private,104457, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n55, Local-gov,99131, HS-grad,9, Married-civ-spouse, Prof-specialty, Other-relative, White, Female,0,2246,40, United-States, >50K\n52, State-gov,125796, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,1848,40, United-States, >50K\n21, ?,479482, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Private,167790, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Private,133758, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,1974,40, United-States, <=50K\n22, Private,106843, 10th,6, Never-married, Craft-repair, Other-relative, White, Male,0,0,30, United-States, <=50K\n24, Private,117959, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,4386,0,40, United-States, >50K\n26, Private,174921, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,134152, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n57, Private,99364, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n18, Local-gov,155905, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,60, United-States, <=50K\n30, Private,467108, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n34, Self-emp-not-inc,304622, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n40, Private,198692, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,60, United-States, >50K\n60, Private,178050, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K\n25, Private,162687, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,113151, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n48, Private,158924, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n27, Self-emp-not-inc,141795, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K\n33, Self-emp-not-inc,33404, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, >50K\n65, Self-emp-inc,178771, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,168553, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,40, United-States, >50K\n27, Private,110648, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,151053, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,142871, Some-college,10, Separated, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K\n18, ?,343161, 11th,7, Never-married, ?, Own-child, White, Male,0,0,16, United-States, <=50K\n27, Private,183523, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n57, Self-emp-not-inc,222216, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, United-States, <=50K\n44, Private,121874, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,55, United-States, >50K\n30, Private,467108, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K\n26, Private,34393, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Federal-gov,42003, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n61, Private,180418, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n49, Self-emp-not-inc,199590, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Mexico, <=50K\n33, Private,144949, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n50, Private,155594, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n53, Self-emp-not-inc,162576, 7th-8th,4, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,99, United-States, <=50K\n33, Private,232475, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,269474, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K\n45, Local-gov,140644, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K\n26, ?,39640, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,60, United-States, <=50K\n50, ?,346014, 7th-8th,4, Separated, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n47, Self-emp-not-inc,159726, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n52, Federal-gov,290856, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,217886, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,36, United-States, <=50K\n21, ?,199915, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n58, Private,106546, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,2174,0,40, United-States, <=50K\n50, Local-gov,220640, Masters,14, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0,0,50, United-States, >50K\n33, Federal-gov,88913, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,288486, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,227411, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n37, Local-gov,99935, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,50, United-States, >50K\n57, Private,201112, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,123778, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n21, Private,204596, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,8, United-States, <=50K\n40, Private,190290, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,196674, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,108435, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,20, United-States, <=50K\n38, Private,186359, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,137076, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n22, State-gov,262819, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,171655, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K\n42, Private,183319, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, El-Salvador, <=50K\n36, Private,127306, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,47, United-States, <=50K\n22, Private,68678, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K\n40, State-gov,140108, 9th,5, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n26, Private,263444, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n46, State-gov,265554, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n28, Private,410216, 11th,7, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, >50K\n46, State-gov,20534, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n55, Private,188917, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n76, Private,98695, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n27, Private,411950, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n50, Private,237819, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n75, Private,187424, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n42, Federal-gov,198316, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Local-gov,139703, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n51, Private,152596, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,194726, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,55, United-States, >50K\n44, Private,82601, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n20, ?,229843, Some-college,10, Never-married, ?, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n60, Private,122276, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Italy, <=50K\n47, State-gov,188386, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n73, Private,92298, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,15, United-States, <=50K\n27, Private,390657, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n50, Private,89041, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,50, United-States, >50K\n35, Private,314897, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n31, Private,166343, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,50, ?, <=50K\n45, Private,88781, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, >50K\n57, Private,41762, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, South, >50K\n34, Private,849857, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Nicaragua, <=50K\n19, Private,307496, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n25, Private,324372, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n39, Private,99270, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, Germany, >50K\n28, Private,160731, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, >50K\n48, State-gov,148306, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,259019, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n53, Private,224894, 5th-6th,3, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0,0,10, Haiti, <=50K\n19, Private,258470, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,197919, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,60, United-States, <=50K\n23, Private,213719, Assoc-acdm,12, Never-married, Sales, Own-child, Black, Female,0,0,36, United-States, <=50K\n32, Private,226535, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,146042, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n21, Private,180339, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Female,0,1602,30, United-States, <=50K\n24, Private,99970, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,300687, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Local-gov,219906, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,25, United-States, >50K\n24, Private,122234, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,20, ?, <=50K\n55, Private,158641, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,239539, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n46, Local-gov,102308, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,186934, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,234447, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n35, Private,125933, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n29, Private,142760, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n41, State-gov,309056, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n40, Self-emp-not-inc,48859, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K\n30, Private,110594, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n72, Private,426562, 11th,7, Divorced, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n17, Private,169037, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-inc,123075, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,70, United-States, <=50K\n38, Private,195744, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K\n36, Private,81896, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n24, Self-emp-not-inc,172047, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,253814, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n28, Private,66473, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n60, ?,56248, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,1485,70, United-States, >50K\n42, Local-gov,271521, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Other, Male,0,0,40, United-States, >50K\n48, Private,265295, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Self-emp-not-inc,174308, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,196342, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n55, Private,223594, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,7688,0,40, Puerto-Rico, >50K\n30, Private,149787, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n68, Private,124686, 7th-8th,4, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,10, United-States, <=50K\n45, Private,50163, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n26, Private,175789, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,218215, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,166371, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,169469, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n52, Private,145081, 7th-8th,4, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n68, Private,214521, Prof-school,15, Widowed, Prof-specialty, Unmarried, White, Female,0,0,16, United-States, <=50K\n26, Local-gov,287233, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, >50K\n52, Private,201310, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, ?, <=50K\n46, Self-emp-not-inc,197836, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1672,50, United-States, <=50K\n53, Private,158294, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n17, Private,127366, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K\n29, Private,203697, Bachelors,13, Married-civ-spouse, Prof-specialty, Own-child, White, Male,0,0,75, United-States, <=50K\n41, Private,168730, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n45, Private,165232, Some-college,10, Divorced, Tech-support, Not-in-family, Black, Female,0,0,40, Trinadad&Tobago, <=50K\n57, Private,175942, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n30, Federal-gov,356689, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, Japan, <=50K\n46, Private,132912, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n45, Private,187226, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n59, ?,254765, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,202565, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, <=50K\n38, State-gov,103925, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,2036,0,20, United-States, <=50K\n22, Private,112164, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, ?, <=50K\n59, Self-emp-not-inc,70623, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,85, United-States, <=50K\n36, Private,102729, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,558944, 7th-8th,4, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,256967, 10th,6, Never-married, Sales, Other-relative, Black, Female,0,0,40, United-States, <=50K\n62, ?,144583, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n63, Private,102412, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,159788, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,80, United-States, <=50K\n27, Private,55743, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,45, United-States, >50K\n47, State-gov,148171, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Male,0,0,50, France, >50K\n20, Local-gov,271354, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Private,98524, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n29, Private,272913, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, Mexico, <=50K\n22, Private,324445, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,155469, Assoc-acdm,12, Widowed, Tech-support, Unmarried, White, Female,0,0,24, United-States, <=50K\n36, Private,102945, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Private,291904, 10th,6, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n41, Federal-gov,186601, HS-grad,9, Separated, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n43, Private,172401, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,193285, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n34, Private,176244, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n32, Private,117779, HS-grad,9, Never-married, Transport-moving, Own-child, White, Female,0,0,35, United-States, <=50K\n22, ?,34616, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n52, Private,169182, 9th,5, Widowed, Other-service, Not-in-family, White, Female,0,0,25, Puerto-Rico, <=50K\n27, Private,180758, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Local-gov,141637, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-not-inc,169023, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,40, United-States, >50K\n34, Self-emp-not-inc,101266, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,62, United-States, <=50K\n30, Private,164190, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,142282, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n39, Federal-gov,103984, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n64, Private,187601, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Self-emp-not-inc,36218, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n29, State-gov,106334, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, ?, <=50K\n37, Local-gov,249392, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n43, Self-emp-not-inc,110355, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n30, Self-emp-not-inc,117944, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K\n17, Private,163836, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K\n29, Private,145592, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n24, Private,108495, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, India, <=50K\n27, Self-emp-not-inc,212041, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n69, Self-emp-inc,182451, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,124020, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,199116, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n17, ?,144114, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n61, Private,107438, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,1651,40, United-States, <=50K\n70, Private,405362, 7th-8th,4, Widowed, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K\n32, Private,175856, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,1902,40, United-States, >50K\n21, ?,262241, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,420054, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,9562,0,50, United-States, >50K\n27, Private,86681, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,187161, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n44, State-gov,691903, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,60, United-States, >50K\n36, Private,219483, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,199058, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n29, Private,192010, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, Poland, <=50K\n34, Federal-gov,419691, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,54, United-States, >50K\n28, Local-gov,356089, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Male,0,0,50, United-States, <=50K\n34, Private,684015, 5th-6th,3, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, El-Salvador, <=50K\n18, Private,36882, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n39, Private,203180, Some-college,10, Divorced, Farming-fishing, Unmarried, White, Female,0,0,45, United-States, <=50K\n34, Private,183811, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,103966, Masters,14, Divorced, Adm-clerical, Unmarried, White, Female,0,0,41, United-States, <=50K\n24, Private,304602, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,57233, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K\n50, State-gov,289207, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,45, United-States, >50K\n68, Private,224019, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K\n35, Private,267966, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K\n47, Private,214800, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,241528, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,197365, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,296724, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,17, United-States, <=50K\n26, Private,136226, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,40623, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,264874, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,112847, HS-grad,9, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n18, ?,236090, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,89028, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n71, State-gov,210673, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,28, United-States, <=50K\n55, Private,60193, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,216137, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K\n36, Private,139743, Some-college,10, Widowed, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n25, ?,32276, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,423605, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1848,40, Nicaragua, >50K\n27, Private,298871, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n42, Private,318255, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,347867, HS-grad,9, Married-spouse-absent, Sales, Not-in-family, White, Male,0,1719,40, United-States, <=50K\n57, Private,279636, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n34, Private,405386, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,28, United-States, <=50K\n31, Private,297188, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n24, Private,182342, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,229148, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,60, Jamaica, <=50K\n30, Private,189620, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,6849,0,40, England, <=50K\n17, Private,413557, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,32, United-States, <=50K\n26, Self-emp-inc,246025, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,20, Honduras, <=50K\n32, Private,390997, 1st-4th,2, Never-married, Farming-fishing, Not-in-family, Other, Male,0,0,50, Mexico, <=50K\n55, Private,102058, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n19, Private,247298, 12th,8, Married-spouse-absent, Other-service, Own-child, Other, Female,0,0,20, United-States, <=50K\n28, Private,140108, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n55, ?,216941, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,2885,0,40, United-States, <=50K\n49, Private,81654, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,177526, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,64631, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,110028, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,203761, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,163870, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n59, Federal-gov,117299, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K\n20, Private,50648, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n21, Private,166517, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n28, ?,173800, Bachelors,13, Married-spouse-absent, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,10, Taiwan, <=50K\n44, Self-emp-inc,181762, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n31, Self-emp-not-inc,340880, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n50, Self-emp-not-inc,114758, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,4416,0,45, United-States, <=50K\n54, Private,138847, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,215014, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,183778, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,273629, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Self-emp-inc,113870, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,213955, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,2001,40, United-States, <=50K\n29, Private,114982, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,205338, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,57924, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688,0,50, United-States, >50K\n90, ?,225063, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,10, South, <=50K\n35, Self-emp-not-inc,202027, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K\n20, Private,281356, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,0,40, United-States, <=50K\n42, Private,30824, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,2354,0,16, United-States, <=50K\n56, Private,98809, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,5013,0,45, United-States, <=50K\n31, Private,38223, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K\n23, Private,172232, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,50, United-States, <=50K\n60, Private,140544, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,221366, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,180799, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n36, Private,111499, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,14084,0,40, United-States, >50K\n44, Self-emp-not-inc,155930, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,201122, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n27, Private,101709, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n49, Private,140121, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K\n48, Private,172709, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n47, Private,120131, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,117444, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n27, Private,256764, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Local-gov,176185, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4064,0,40, ?, <=50K\n24, Private,223811, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,201603, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n25, Private,138765, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,133974, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Federal-gov,137953, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n57, Private,103403, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,461678, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n41, State-gov,70884, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n56, State-gov,466498, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, United-States, >50K\n19, Private,148644, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n44, Private,190739, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,32, United-States, <=50K\n34, Private,299507, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,211424, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n27, State-gov,106721, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,192017, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Private,530099, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,55, United-States, >50K\n34, Private,119153, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,202450, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K\n21, Private,50341, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n24, Private,140001, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Italy, <=50K\n19, ?,220517, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K\n82, ?,52921, Some-college,10, Widowed, ?, Not-in-family, Amer-Indian-Eskimo, Male,0,0,3, United-States, <=50K\n35, Private,31964, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n32, Private,148207, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,151627, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n30, Private,402539, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,188278, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n28, Self-emp-not-inc,96219, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,5, United-States, <=50K\n29, Private,340534, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K\n60, Private,160339, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Columbia, <=50K\n28, Private,120135, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Federal-gov,303817, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n31, Private,181091, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,200515, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, >50K\n42, Private,160893, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,23, United-States, <=50K\n40, Local-gov,183096, 9th,5, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Yugoslavia, >50K\n24, Private,241367, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-inc,342084, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n36, Private,193855, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,80410, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,554317, 9th,5, Married-spouse-absent, Other-service, Other-relative, White, Male,0,0,35, Mexico, <=50K\n46, Private,85109, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1628,40, United-States, <=50K\n28, Private,108569, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, <=50K\n34, Private,120959, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,222011, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,43, United-States, <=50K\n43, Private,238530, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,48404, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n60, Private,88055, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,3781,0,16, United-States, <=50K\n33, Private,238381, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,8614,0,40, United-States, >50K\n22, Private,243923, HS-grad,9, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0,0,80, United-States, <=50K\n39, Private,305597, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,141841, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,5178,0,40, United-States, >50K\n39, Private,129764, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,150993, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n63, Self-emp-not-inc,147140, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n46, State-gov,30219, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,38, United-States, >50K\n48, Private,167967, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,133278, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n65, Private,172510, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Female,1848,0,20, Hungary, <=50K\n39, Private,192251, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, >50K\n43, Private,210844, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, >50K\n28, Private,263015, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,155118, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,99999,0,35, United-States, >50K\n24, State-gov,232918, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n48, Private,143542, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,45607, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n62, Private,29828, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,104118, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Private,191446, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K\n50, Private,27484, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n40, Private,205987, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, Cuba, <=50K\n39, Local-gov,143385, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, ?,200508, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,186995, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,54159, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K\n39, Private,113481, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n30, Local-gov,235271, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,349365, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,65, United-States, <=50K\n18, Private,283637, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,70282, Assoc-acdm,12, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n26, Private,166051, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Private,193720, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K\n35, ?,124836, Some-college,10, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,36, United-States, <=50K\n33, Private,236379, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n46, Private,122026, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K\n40, Private,114537, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,191834, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n29, Private,420054, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,160045, Some-college,10, Widowed, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n34, Private,303187, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K\n45, Private,190088, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n53, Private,126977, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n52, Self-emp-not-inc,63004, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n64, Private,391121, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,211450, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n44, Private,156413, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,44, United-States, >50K\n41, Private,116797, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, United-States, >50K\n53, Local-gov,204447, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K\n25, Private,66935, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n20, Private,344278, 11th,7, Separated, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,108574, Assoc-voc,11, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, United-States, <=50K\n56, Private,244605, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,363677, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,30, United-States, >50K\n56, Private,219762, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,35, United-States, <=50K\n38, Self-emp-inc,269318, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n62, Private,77884, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n28, Self-emp-not-inc,70100, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n31, Private,213643, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3908,0,40, United-States, <=50K\n24, Private,69640, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n65, Private,170012, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,34, United-States, <=50K\n40, Private,329924, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n31, Private,193285, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,261241, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,1741,60, United-States, <=50K\n42, Federal-gov,108183, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1902,40, South, >50K\n20, Private,296618, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n30, Local-gov,257796, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,155320, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K\n22, Private,151888, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n65, ?,143118, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,2206,10, United-States, <=50K\n31, Private,66278, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,3908,0,40, United-States, <=50K\n56, Private,92444, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, >50K\n51, Private,229272, HS-grad,9, Divorced, Other-service, Other-relative, Black, Male,0,0,32, Haiti, <=50K\n36, Self-emp-not-inc,207202, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n44, State-gov,154176, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,1590,40, United-States, <=50K\n49, Private,180899, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,1755,45, United-States, >50K\n28, Private,205337, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,180779, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n33, Self-emp-not-inc,343021, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K\n49, Private,176814, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,40, United-States, >50K\n74, State-gov,88638, Doctorate,16, Never-married, Prof-specialty, Other-relative, White, Female,0,3683,20, United-States, >50K\n48, Private,248059, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,45, United-States, <=50K\n38, Private,409604, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n39, Private,185053, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,332884, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,65, United-States, >50K\n56, Private,212864, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,66473, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,285169, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Private,175431, 9th,5, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n18, ?,152641, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,339346, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n39, Private,287306, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,70604, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,3464,0,40, United-States, <=50K\n21, Private,88926, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K\n36, Private,91275, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n56, Private,244554, 10th,6, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Private,232586, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-inc,127678, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, <=50K\n44, Private,162184, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Private,408229, 1st-4th,2, Never-married, Other-service, Not-in-family, White, Male,0,0,45, El-Salvador, <=50K\n43, State-gov,139734, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n62, Private,197286, 12th,8, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, Germany, <=50K\n52, Private,229983, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,3103,0,30, United-States, >50K\n25, Private,252803, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n63, Self-emp-inc,110890, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, >50K\n51, Private,160724, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,99, South, <=50K\n25, Private,89625, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n62, ?,266037, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,126730, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Federal-gov,96854, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n32, Private,186788, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,28996, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n30, Self-emp-not-inc,347166, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, State-gov,110311, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,310850, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,220694, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K\n61, Private,149405, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n70, Self-emp-inc,131699, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K\n55, Private,49996, 11th,7, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n35, Private,187112, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K\n36, Private,180859, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K\n29, Private,185647, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,60, United-States, <=50K\n30, Private,316606, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n45, Private,274657, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n39, Federal-gov,193583, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,5455,0,60, United-States, <=50K\n18, Private,338836, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n28, Private,216814, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,106935, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n38, Private,223433, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,174789, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,135603, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n25, ?,344719, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,4, United-States, <=50K\n38, Private,372484, 11th,7, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n23, Private,181820, Some-college,10, Never-married, Farming-fishing, Unmarried, White, Male,0,0,45, United-States, <=50K\n40, Private,235371, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-inc,216711, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, ?, >50K\n20, Private,299399, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Private,202508, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n44, Private,172025, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n49, Self-emp-inc,246891, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,450920, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n26, Private,53598, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,103757, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,76017, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n28, Self-emp-inc,80158, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Federal-gov,90881, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Male,8614,0,55, United-States, >50K\n44, Private,427952, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n20, ?,230955, 12th,8, Never-married, ?, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n53, Private,177916, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n36, Private,342642, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,15, United-States, <=50K\n77, Private,253642, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,30, United-States, <=50K\n21, Private,219086, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n24, Private,162593, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n30, Private,87561, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Local-gov,142411, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n22, Private,154422, Some-college,10, Divorced, Sales, Own-child, Asian-Pac-Islander, Female,0,0,30, Philippines, <=50K\n23, Private,169104, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,25, United-States, <=50K\n47, Private,193047, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n17, Private,151141, 12th,8, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n48, Private,267912, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,50, Mexico, >50K\n43, Private,137126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,152453, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Guatemala, <=50K\n19, Private,357059, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n42, State-gov,202011, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,98283, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,176965, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n63, Private,187919, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n65, Private,274916, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,105813, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n41, Local-gov,193524, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,152734, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, ?, <=50K\n21, Private,263641, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n48, Local-gov,102076, Bachelors,13, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n51, State-gov,155594, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K\n43, Private,33331, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n22, State-gov,156773, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,15, ?, <=50K\n56, Self-emp-not-inc,115439, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n47, Private,181652, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,120268, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,24, United-States, <=50K\n39, Private,196308, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,24, United-States, <=50K\n45, Self-emp-not-inc,40690, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,75, United-States, <=50K\n49, Private,228583, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,40, Columbia, <=50K\n23, Private,695136, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n69, Private,209236, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,36, United-States, <=50K\n41, Federal-gov,214838, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n40, Self-emp-not-inc,188436, HS-grad,9, Separated, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K\n25, Private,177625, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Private,124591, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n28, Private,230856, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Female,3325,0,50, United-States, <=50K\n50, Federal-gov,221532, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,232577, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,30, United-States, <=50K\n48, Private,168216, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,214702, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K\n63, Private,237620, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n47, State-gov,54887, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, Self-emp-not-inc,164526, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,14084,0,45, United-States, >50K\n28, Private,224506, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, ?, <=50K\n58, Private,183870, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,208330, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,51, United-States, <=50K\n67, Self-emp-inc,168370, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,320376, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,48, United-States, <=50K\n28, Private,192384, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,167350, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,103538, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K\n29, Private,58522, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,191342, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n25, Private,193820, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K\n20, Private,258490, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n21, Private,56520, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,102476, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n44, Self-emp-inc,311357, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,166497, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, United-States, <=50K\n50, Private,160724, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7298,0,40, Philippines, >50K\n29, Private,338270, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, Private,282394, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,21, United-States, <=50K\n32, Private,383269, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n58, Private,119386, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n50, Private,196975, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,334221, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,18, United-States, <=50K\n58, Private,27385, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n29, State-gov,133846, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,361888, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n21, Private,230429, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n49, Private,328776, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, Private,243829, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n39, Private,306646, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,3103,0,50, United-States, >50K\n50, Private,138179, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n30, Private,280069, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K\n55, Private,305759, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, ?, <=50K\n64, Local-gov,164876, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,20, United-States, <=50K\n29, Self-emp-inc,138597, Assoc-acdm,12, Never-married, Prof-specialty, Other-relative, Black, Female,0,0,40, United-States, <=50K\n40, Private,111483, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n42, Private,144778, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n55, Private,171015, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,112494, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n28, Private,408473, 12th,8, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n46, State-gov,27802, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, >50K\n34, Private,236318, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n47, Private,121836, Masters,14, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,38, United-States, >50K\n43, Self-emp-not-inc,315971, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,698418, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,25, United-States, <=50K\n21, Private,329530, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n65, Private,194456, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, England, >50K\n20, Private,282579, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, State-gov,26401, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n38, State-gov,364958, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,3464,0,40, United-States, <=50K\n22, Private,83998, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,94364, Some-college,10, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,20, United-States, <=50K\n44, Private,174189, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n44, Local-gov,101967, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n41, Private,146908, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n38, Private,126675, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,2205,40, United-States, <=50K\n21, Private,31606, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, Germany, <=50K\n24, Private,132327, Some-college,10, Married-spouse-absent, Sales, Unmarried, Other, Female,0,0,30, Ecuador, <=50K\n24, Private,112459, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n28, Private,48894, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,181943, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n48, Private,247685, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n24, Local-gov,195808, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,172052, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,35, South, >50K\n50, Local-gov,50178, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,55, United-States, <=50K\n68, Private,351711, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n31, State-gov,190305, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n22, Private,464103, 1st-4th,2, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n18, ?,36348, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,48, United-States, <=50K\n25, Private,120238, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Poland, <=50K\n28, Private,354095, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Local-gov,308901, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n24, State-gov,208826, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,99, England, <=50K\n20, Private,369677, 10th,6, Separated, Sales, Not-in-family, White, Female,0,0,36, United-States, <=50K\n45, Federal-gov,98524, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,239723, Some-college,10, Married-spouse-absent, Craft-repair, Unmarried, White, Female,1506,0,45, United-States, <=50K\n57, Private,231232, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,236396, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,55, United-States, >50K\n24, ?,119156, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,320451, Some-college,10, Never-married, Protective-serv, Own-child, Asian-Pac-Islander, Male,0,0,24, India, <=50K\n41, Private,38397, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Self-emp-inc,189183, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,199281, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n52, Private,286342, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,38, United-States, <=50K\n50, Private,152810, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n26, Self-emp-inc,176981, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,50, United-States, <=50K\n17, Private,117549, 10th,6, Never-married, Sales, Other-relative, Black, Female,0,0,12, United-States, <=50K\n64, Private,254797, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,133336, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n28, Self-emp-not-inc,182826, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n51, Private,136224, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,134475, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,1762,40, United-States, <=50K\n48, Private,272778, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n44, Private,279183, Some-college,10, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,40, United-States, >50K\n47, Private,110243, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,202071, HS-grad,9, Widowed, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K\n58, Private,197642, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,39, United-States, <=50K\n19, Private,125591, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,197462, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,238831, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,182177, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Yugoslavia, <=50K\n40, Local-gov,240504, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n48, Self-emp-inc,125892, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,38, United-States, >50K\n46, Private,154430, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n32, Private,207685, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female,3908,0,40, United-States, <=50K\n50, Private,222020, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,243240, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,37, United-States, <=50K\n26, Private,158734, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K\n36, Private,257691, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n26, Private,144483, Assoc-voc,11, Divorced, Sales, Own-child, White, Female,594,0,35, United-States, <=50K\n19, Private,209826, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n53, Private,30244, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n54, Private,133050, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,41, United-States, <=50K\n29, Private,138332, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,6, United-States, <=50K\n81, Private,201398, Masters,14, Widowed, Prof-specialty, Unmarried, White, Male,0,0,60, ?, <=50K\n37, Private,526968, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, >50K\n40, Private,79036, Assoc-voc,11, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, >50K\n36, Private,240323, Some-college,10, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n18, Private,270544, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n44, State-gov,199551, 11th,7, Separated, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n36, Private,231052, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K\n69, State-gov,203072, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,126771, 12th,8, Never-married, Prof-specialty, Own-child, White, Male,0,0,7, United-States, <=50K\n38, Private,31848, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,328981, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K\n52, Private,159670, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,450695, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K\n57, Private,182028, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n19, Private,349620, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,161066, HS-grad,9, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K\n46, Private,213611, 7th-8th,4, Married-spouse-absent, Priv-house-serv, Unmarried, White, Female,0,1594,24, Guatemala, <=50K\n21, Private,548303, HS-grad,9, Married-civ-spouse, Prof-specialty, Own-child, White, Male,0,0,40, Mexico, >50K\n29, Private,150861, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Japan, <=50K\n33, ?,335625, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,133766, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n28, Private,200511, HS-grad,9, Separated, Farming-fishing, Not-in-family, White, Male,0,0,55, United-States, <=50K\n26, Private,50103, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n37, ?,148266, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,6, Mexico, <=50K\n49, Private,177211, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,132686, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n57, Federal-gov,21626, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Private,52900, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n20, ?,150084, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n38, Private,248886, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,42, United-States, <=50K\n51, Self-emp-not-inc,118259, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,60, United-States, <=50K\n60, Private,145493, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,219546, Bachelors,13, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,3411,0,47, United-States, <=50K\n44, Federal-gov,399155, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Female,0,0,40, United-States, <=50K\n19, Self-emp-not-inc,227310, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n59, Private,333270, Masters,14, Married-civ-spouse, Craft-repair, Wife, Asian-Pac-Islander, Female,0,0,35, Philippines, <=50K\n50, Private,231495, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n35, Federal-gov,133935, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n46, Federal-gov,55237, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n18, Private,183034, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,35, United-States, <=50K\n32, Private,245487, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K\n32, Private,185480, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,114251, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,181814, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Female,0,0,40, United-States, <=50K\n30, Private,340917, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n37, Private,241998, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,40, United-States, >50K\n38, Self-emp-inc,125324, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K\n36, Private,34744, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Female,0,0,37, United-States, <=50K\n56, Private,131608, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n35, Federal-gov,226916, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K\n56, Private,124137, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,41, United-States, <=50K\n17, Private,96282, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,14, United-States, <=50K\n46, Private,337050, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K\n56, Private,229335, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, State-gov,199495, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,111675, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, <=50K\n27, Private,139209, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,32372, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n33, Self-emp-not-inc,203784, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,62, United-States, <=50K\n33, Private,164190, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n38, Private,64875, Some-college,10, Never-married, Farming-fishing, Unmarried, White, Male,0,0,60, United-States, <=50K\n51, Private,41806, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,208725, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K\n49, Local-gov,79019, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,0,16, United-States, <=50K\n26, Private,136951, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n42, Private,203554, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n37, Private,252947, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,1719,32, United-States, <=50K\n38, Private,170861, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n48, Private,199590, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, >50K\n41, Private,529216, Bachelors,13, Divorced, Tech-support, Unmarried, Black, Male,7430,0,45, ?, >50K\n33, Private,195576, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,60, United-States, <=50K\n30, Private,182177, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Ireland, <=50K\n25, State-gov,183678, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n50, Private,209320, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n54, Self-emp-inc,206862, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,36, United-States, >50K\n37, Private,168941, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,201263, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,55, United-States, >50K\n17, Private,75333, 10th,6, Never-married, Sales, Own-child, Black, Female,0,0,24, United-States, <=50K\n65, ?,299494, 11th,7, Married-civ-spouse, ?, Husband, White, Male,1797,0,40, United-States, <=50K\n56, Self-emp-not-inc,163212, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,99999,0,40, United-States, >50K\n57, Private,139290, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,38, United-States, <=50K\n33, Private,400416, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n41, Self-emp-not-inc,223763, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K\n45, Private,77927, Bachelors,13, Widowed, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n50, Private,175804, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n18, Private,91525, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,25, United-States, <=50K\n19, Private,279968, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n26, Private,77698, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n61, ?,198686, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, >50K\n67, ?,190340, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,113491, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,202878, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n27, Private,108431, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,194490, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n37, Private,48093, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,90, United-States, >50K\n22, Private,136824, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,143280, 10th,6, Never-married, Priv-house-serv, Own-child, White, Female,0,0,24, United-States, <=50K\n26, Private,150062, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n27, Local-gov,298510, HS-grad,9, Divorced, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,177147, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,6849,0,65, United-States, <=50K\n51, Private,115025, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,350440, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n60, Private,83850, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,62669, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n24, Private,229773, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Local-gov,196234, HS-grad,9, Divorced, Craft-repair, Own-child, White, Female,0,0,40, Puerto-Rico, <=50K\n69, ?,163595, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n44, Private,157249, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,1977,50, United-States, >50K\n65, Private,80174, HS-grad,9, Divorced, Exec-managerial, Other-relative, White, Female,1848,0,50, United-States, <=50K\n52, Self-emp-inc,49069, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n38, Private,122952, HS-grad,9, Separated, Craft-repair, Unmarried, White, Female,0,0,35, United-States, <=50K\n18, Private,123856, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,49, United-States, <=50K\n24, Private,216181, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Private,180062, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n21, Private,188535, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,44, United-States, <=50K\n67, Self-emp-not-inc,106143, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,20051,0,40, United-States, >50K\n64, Self-emp-not-inc,170421, Some-college,10, Widowed, Craft-repair, Not-in-family, White, Female,0,0,8, United-States, <=50K\n25, Private,283087, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, United-States, <=50K\n34, Federal-gov,341051, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n39, Self-emp-not-inc,34378, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,380674, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,52, United-States, <=50K\n19, Private,304469, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,25, United-States, <=50K\n35, Private,99146, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,205109, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,99156, HS-grad,9, Separated, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n45, Private,97842, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,65, United-States, <=50K\n18, Private,100875, 11th,7, Never-married, Other-service, Unmarried, White, Female,0,0,28, United-States, <=50K\n51, Private,200576, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,63, United-States, <=50K\n36, Private,355053, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,28, United-States, <=50K\n18, Private,118376, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, ?, <=50K\n37, Local-gov,117760, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n37, Private,117567, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n39, Federal-gov,189632, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n21, Private,170108, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n46, State-gov,27243, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K\n33, Private,192663, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n23, Private,526164, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,146579, HS-grad,9, Divorced, Sales, Unmarried, Black, Male,0,0,40, United-States, <=50K\n28, Private,60288, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n23, State-gov,241951, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-inc,213140, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,218124, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n22, Self-emp-not-inc,279802, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,3, United-States, <=50K\n26, Private,153078, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,80, ?, >50K\n40, Private,167919, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n90, Private,250832, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,193158, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n44, Private,172032, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,39484, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,7298,0,42, United-States, >50K\n45, Private,84298, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n43, Private,269015, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, Germany, >50K\n17, ?,262196, 10th,6, Never-married, ?, Own-child, White, Male,0,0,8, United-States, <=50K\n49, Federal-gov,125892, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,134890, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,50, United-States, <=50K\n60, Self-emp-not-inc,261119, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,119409, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female,0,0,40, Columbia, <=50K\n53, Self-emp-not-inc,118793, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n19, Private,184207, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,191027, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,207782, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n48, Self-emp-not-inc,209146, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n76, ?,79445, 10th,6, Married-civ-spouse, ?, Husband, White, Male,1173,0,40, United-States, <=50K\n19, Private,187724, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n28, Private,66777, Assoc-voc,11, Married-civ-spouse, Other-service, Other-relative, White, Female,3137,0,40, United-States, <=50K\n58, Private,158002, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K\n19, Self-emp-not-inc,305834, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,25, United-States, <=50K\n37, ?,122265, HS-grad,9, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,42, ?, <=50K\n22, Private,211798, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,123011, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,36302, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n50, Self-emp-not-inc,176867, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,3781,0,40, United-States, <=50K\n62, Private,169204, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n26, Private,38232, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n64, State-gov,277657, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,24, United-States, <=50K\n38, Private,32271, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,116825, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,80, United-States, >50K\n28, Self-emp-not-inc,226198, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,28145, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,52, United-States, <=50K\n39, Private,140477, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,10, United-States, <=50K\n50, Private,165050, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Self-emp-inc,202937, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n36, Private,316298, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,203070, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,49, United-States, <=50K\n51, Self-emp-inc,103995, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n28, Private,176137, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K\n57, Self-emp-not-inc,103948, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, >50K\n40, Local-gov,39581, Prof-school,15, Separated, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n27, Private,506436, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, Peru, <=50K\n32, Private,226975, Some-college,10, Never-married, Sales, Own-child, White, Male,0,1876,60, United-States, <=50K\n49, State-gov,154493, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,44, United-States, <=50K\n34, Self-emp-not-inc,137223, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Private,102323, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Private,257765, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n52, Private,42924, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n43, Private,167599, 11th,7, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,25, United-States, <=50K\n84, ?,368925, 5th-6th,3, Widowed, ?, Not-in-family, White, Male,0,0,15, United-States, <=50K\n79, ?,100881, Assoc-acdm,12, Married-civ-spouse, ?, Wife, White, Female,0,0,2, United-States, >50K\n35, Private,52738, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,46, United-States, <=50K\n56, Private,98418, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,30, United-States, <=50K\n30, Private,381153, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,103700, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,298635, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,50, United-States, <=50K\n32, Private,127895, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n44, Self-emp-inc,212760, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n32, Private,281384, HS-grad,9, Married-AF-spouse, Other-service, Other-relative, White, Female,0,0,10, United-States, <=50K\n60, Private,181200, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,257364, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K\n50, Private,283281, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n58, Private,214502, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, >50K\n41, Private,69333, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,190060, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,95864, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,35, United-States, <=50K\n71, ?,144872, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,6514,0,40, United-States, >50K\n17, ?,275778, 9th,5, Never-married, ?, Own-child, White, Female,0,0,25, Mexico, <=50K\n45, Private,27332, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,24395, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,30, United-States, <=50K\n25, Private,330695, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n40, Self-emp-not-inc,171615, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, >50K\n28, Private,116372, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K\n27, Private,38599, 12th,8, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Local-gov,202184, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K\n24, Private,315303, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,25, United-States, <=50K\n38, Private,103456, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, State-gov,163480, Masters,14, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n18, Private,317425, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,7, United-States, <=50K\n58, Private,216941, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,116541, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,44, United-States, >50K\n43, Private,186396, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,20, United-States, <=50K\n45, Private,273194, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,3137,0,35, United-States, <=50K\n24, Private,385540, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, <=50K\n63, Private,201631, 9th,5, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Private,439919, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n21, Private,182117, Bachelors,13, Never-married, Other-service, Other-relative, White, Male,0,0,20, United-States, <=50K\n20, State-gov,334113, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,184837, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,7298,0,40, United-States, >50K\n49, ?,228372, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, >50K\n47, Federal-gov,211123, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-inc,38819, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K\n61, Private,162391, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1651,40, United-States, <=50K\n23, ?,302836, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,40, El-Salvador, <=50K\n35, State-gov,89040, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,264210, Some-college,10, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,20, United-States, <=50K\n18, Private,87157, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n28, Self-emp-not-inc,398918, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n62, ?,123612, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,4, United-States, <=50K\n20, Private,155818, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n28, Private,243660, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,134195, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,238638, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,159929, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,198668, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,215504, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,158002, Some-college,10, Never-married, Craft-repair, Other-relative, White, Male,0,0,55, Ecuador, <=50K\n53, Local-gov,35305, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,57, United-States, <=50K\n25, Private,195994, 1st-4th,2, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, Guatemala, <=50K\n44, State-gov,321824, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, <=50K\n22, Private,180449, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,28, United-States, <=50K\n40, Private,201764, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,250038, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, ?, <=50K\n30, Self-emp-not-inc,226535, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n51, Private,136121, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n17, Private,47199, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,24, United-States, <=50K\n46, Local-gov,215895, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n50, State-gov,24647, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,734193, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n42, ?,321086, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n41, Federal-gov,192589, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,326283, Bachelors,13, Never-married, Other-service, Unmarried, Other, Male,0,0,40, United-States, <=50K\n32, Private,207284, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,109089, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K\n50, Private,274528, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n77, Private,142646, 7th-8th,4, Widowed, Priv-house-serv, Unmarried, White, Female,0,0,23, United-States, <=50K\n33, Private,180859, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-inc,188610, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n64, Private,169604, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,260560, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n34, Local-gov,188245, HS-grad,9, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K\n67, Local-gov,103315, Masters,14, Never-married, Exec-managerial, Other-relative, White, Female,15831,0,72, United-States, >50K\n37, Local-gov,52465, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,737315, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n22, ?,195143, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,29, United-States, <=50K\n50, Self-emp-not-inc,219420, Doctorate,16, Divorced, Sales, Not-in-family, White, Male,0,0,64, United-States, <=50K\n60, Private,198170, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n46, Local-gov,183168, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, <=50K\n44, Private,196545, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n43, Private,168412, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,44, Poland, <=50K\n48, Private,174386, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, El-Salvador, >50K\n36, Private,544686, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,2907,0,40, Nicaragua, <=50K\n48, Private,95661, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K\n37, Private,468713, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,169112, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,74024, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,110622, 5th-6th,3, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,20, Vietnam, <=50K\n43, Local-gov,33331, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,181557, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,25, United-States, <=50K\n66, Private,142624, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5556,0,40, Yugoslavia, >50K\n37, Self-emp-not-inc,192251, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,2635,0,40, United-States, <=50K\n35, Private,146091, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Local-gov,174575, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K\n49, Private,200949, 10th,6, Never-married, Other-service, Unmarried, White, Female,0,0,38, Peru, <=50K\n51, Local-gov,201560, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n71, Federal-gov,149386, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,9, United-States, <=50K\n50, Local-gov,168672, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,40, United-States, >50K\n63, Private,38352, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, State-gov,180272, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K\n24, State-gov,275421, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Local-gov,173051, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K\n33, Local-gov,167474, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,267138, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n23, Private,135138, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n49, Private,218357, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K\n28, Self-emp-not-inc,107236, 12th,8, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,138416, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,56, Mexico, <=50K\n28, Private,154863, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Male,0,0,35, United-States, <=50K\n37, Private,194004, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K\n19, Private,339123, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,548361, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,26, United-States, <=50K\n25, Private,101812, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,41, United-States, <=50K\n49, Self-emp-inc,127111, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n47, Private,171807, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K\n48, Local-gov,40666, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,340682, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,175052, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, ?,321629, HS-grad,9, Never-married, ?, Unmarried, White, Female,0,0,16, United-States, <=50K\n46, Private,154405, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n17, Private,108402, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n34, Private,346275, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,43, United-States, <=50K\n44, Private,42476, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,30, United-States, <=50K\n23, Private,161708, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n35, Private,70447, Some-college,10, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Male,4650,0,20, United-States, <=50K\n30, Private,189759, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,4865,0,40, United-States, <=50K\n65, ?,137354, Some-college,10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K\n34, Private,250724, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, Jamaica, <=50K\n34, Federal-gov,149368, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,154641, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,38309, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,2407,0,40, United-States, <=50K\n53, Local-gov,202733, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,70, United-States, >50K\n34, Private,56150, 11th,7, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n21, Private,260254, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,108083, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n54, Self-emp-not-inc,71344, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n32, Private,174215, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, State-gov,114366, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n39, Private,158962, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,179498, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Germany, <=50K\n29, Private,31935, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,149909, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K\n20, ?,58740, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K\n39, Private,216552, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,255348, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,176050, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n71, ?,125101, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n62, ?,197286, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,337469, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,594,0,20, Mexico, <=50K\n31, Private,159737, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,58, United-States, <=50K\n39, Private,316211, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n32, Private,127610, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,32, United-States, >50K\n45, Local-gov,556652, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n19, Private,265576, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n43, Private,347653, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K\n32, Private,62374, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,170230, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n34, Private,203051, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,27, United-States, <=50K\n66, Self-emp-inc,115880, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,167735, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K\n46, Self-emp-inc,181413, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n23, Private,185554, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Private,350387, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n63, Private,225102, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, ?, <=50K\n55, Private,105582, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3103,0,40, United-States, >50K\n35, Self-emp-not-inc,350247, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,150025, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, ?, >50K\n37, Private,107737, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n63, ?,334741, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n43, Private,115562, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K\n30, Self-emp-not-inc,131584, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K\n36, Local-gov,95855, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, >50K\n54, Private,391016, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n36, Federal-gov,51089, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n78, Self-emp-inc,188044, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2392,40, United-States, >50K\n77, Private,117898, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,70240, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n39, Self-emp-not-inc,187693, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, United-States, >50K\n37, Private,341672, Bachelors,13, Separated, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n34, Private,208043, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,45, United-States, >50K\n22, Local-gov,289982, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K\n54, Private,76344, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n21, Private,200973, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n36, Private,111377, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,136684, HS-grad,9, Widowed, Adm-clerical, Other-relative, White, Female,0,0,30, United-States, <=50K\n40, Private,176716, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n47, Self-emp-not-inc,166894, Some-college,10, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, Private,243872, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n28, Private,155621, 5th-6th,3, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Columbia, <=50K\n46, Private,102597, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,60331, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K\n37, Private,75024, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,25, Canada, <=50K\n69, Private,174474, 10th,6, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,28, Peru, <=50K\n43, Private,145441, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n53, Private,83434, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,21, Japan, >50K\n20, Private,691830, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K\n22, Private,189203, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n48, Private,115784, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n40, Federal-gov,280167, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n68, ?,407338, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n39, Private,52978, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,1721,55, United-States, <=50K\n57, Private,169329, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Black, Male,0,1887,40, Trinadad&Tobago, >50K\n23, Private,315065, 10th,6, Never-married, Other-service, Unmarried, White, Male,0,0,60, Mexico, <=50K\n25, Local-gov,167835, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,38, United-States, >50K\n22, Private,63105, HS-grad,9, Never-married, Prof-specialty, Own-child, Black, Male,0,0,40, United-States, <=50K\n23, Private,520775, 12th,8, Never-married, Priv-house-serv, Own-child, White, Male,0,0,30, United-States, <=50K\n41, Local-gov,47902, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,145434, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,25, United-States, <=50K\n58, Private,56392, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,162312, HS-grad,9, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,45, Japan, <=50K\n28, Private,204074, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K\n19, Private,99246, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,25, United-States, <=50K\n44, Private,102085, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n68, Private,168794, Preschool,1, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,10, United-States, <=50K\n33, State-gov,332379, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,233419, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,57233, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,192337, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n31, Private,442429, HS-grad,9, Separated, Craft-repair, Unmarried, White, Female,0,0,40, Mexico, <=50K\n29, Private,369114, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Private,261334, 9th,5, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Private,160303, HS-grad,9, Widowed, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n49, Private,50474, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,321577, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n41, Private,29591, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n33, Self-emp-not-inc,334744, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n22, Self-emp-not-inc,269474, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,287306, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n66, Private,33619, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,4, United-States, <=50K\n38, Private,149347, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n43, Private,96249, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, >50K\n40, Local-gov,370502, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n32, Private,188246, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,167558, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,35, Mexico, <=50K\n35, Private,292185, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,101593, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n33, Local-gov,70164, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n36, Private,269722, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n33, Self-emp-not-inc,175502, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n53, Private,233165, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n27, Private,177351, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n22, Private,212114, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,15, United-States, <=50K\n26, Private,288959, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,36, United-States, <=50K\n64, Private,231619, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,21, United-States, <=50K\n48, Private,146919, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n23, Private,388811, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,243560, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,40, ?, <=50K\n35, Self-emp-not-inc,98360, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,369538, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n65, Self-emp-not-inc,31740, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n53, Private,223660, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Male,6849,0,40, United-States, <=50K\n18, Private,333611, 5th-6th,3, Never-married, Other-service, Other-relative, White, Male,0,0,54, Mexico, <=50K\n34, Self-emp-not-inc,108247, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n28, Private,76129, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Guatemala, <=50K\n37, Private,91711, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n61, ?,166855, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K\n59, Private,182062, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,40, United-States, <=50K\n32, Private,252752, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,13550,0,60, United-States, >50K\n31, Private,43953, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, <=50K\n25, Local-gov,84224, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n81, Private,100675, 1st-4th,2, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, Poland, <=50K\n47, Private,155509, HS-grad,9, Separated, Other-service, Other-relative, Black, Female,0,0,35, United-States, <=50K\n39, Private,29814, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,241805, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,30, United-States, <=50K\n44, Private,214838, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n37, Private,240810, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n41, Private,154076, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n27, ?,175552, 5th-6th,3, Married-civ-spouse, ?, Wife, White, Female,0,0,40, Mexico, <=50K\n55, Private,170287, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Poland, >50K\n60, Private,145995, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,433669, Assoc-acdm,12, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,36, ?, <=50K\n23, Private,233626, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K\n19, Private,607799, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,60, United-States, <=50K\n45, Private,88500, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, >50K\n36, Private,127809, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n46, Private,243743, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,177211, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,231180, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,253856, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n39, Private,177075, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,152855, HS-grad,9, Never-married, Exec-managerial, Own-child, Other, Female,0,0,40, Mexico, <=50K\n37, Private,191137, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Male,0,0,25, United-States, <=50K\n49, Private,255559, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n27, Private,169815, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,221215, 10th,6, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K\n35, Private,270059, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n54, ?,31588, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2635,0,40, United-States, <=50K\n17, Private,345403, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,194897, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n33, Private,388741, Some-college,10, Never-married, Adm-clerical, Unmarried, Other, Female,0,0,38, United-States, <=50K\n33, Private,355856, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,60, United-States, <=50K\n51, Private,122109, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K\n49, Private,75673, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n49, Self-emp-inc,141058, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,2339,50, United-States, <=50K\n41, Private,47902, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K\n64, Private,221343, 1st-4th,2, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,12, United-States, <=50K\n40, Private,255675, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n49, Federal-gov,203505, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,125106, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,139890, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,76878, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n47, Self-emp-not-inc,28035, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,86, United-States, <=50K\n30, Private,43953, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,1974,40, United-States, <=50K\n36, Private,163237, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n23, Local-gov,55890, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,255934, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K\n61, Private,168654, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Canada, <=50K\n47, Self-emp-not-inc,39986, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,208451, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,206681, 12th,8, Never-married, Sales, Not-in-family, White, Female,0,0,55, United-States, <=50K\n33, Private,117779, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,46, United-States, >50K\n36, Self-emp-not-inc,129150, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n38, ?,177273, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,35, United-States, <=50K\n34, Local-gov,226443, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,146326, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,187901, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,23, United-States, <=50K\n26, Private,97153, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,40, United-States, >50K\n49, Private,188694, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n71, Private,187493, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,212468, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n20, Private,84726, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,137907, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n51, Private,34361, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,20, United-States, >50K\n38, Private,254114, Some-college,10, Married-spouse-absent, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n38, Private,170174, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n35, Self-emp-not-inc,190895, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K\n24, Local-gov,317443, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K\n40, Private,375603, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, <=50K\n21, Private,203076, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n49, Private,53893, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, ?,171748, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,24, United-States, <=50K\n54, Private,167770, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,55, United-States, >50K\n52, Private,204584, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,42, United-States, <=50K\n27, Private,660870, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n20, Private,105686, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, ?,70282, Masters,14, Married-civ-spouse, ?, Wife, Black, Female,15024,0,2, United-States, >50K\n31, Private,148607, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,255849, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Federal-gov,255921, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, England, <=50K\n33, Private,113326, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,440456, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,105493, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,259757, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,653,50, United-States, >50K\n37, Local-gov,89491, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,171818, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,51151, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,188957, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,97933, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Self-emp-inc,195447, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n63, ?,46907, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, >50K\n54, Self-emp-inc,383365, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n32, Self-emp-not-inc,203408, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n29, Local-gov,148182, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n26, Local-gov,211497, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,48063, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n57, Private,211804, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,50, United-States, >50K\n54, Private,185407, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,225927, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n23, Federal-gov,314525, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,208577, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n42, Private,222884, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n31, Private,209538, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Local-gov,177114, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n50, Private,173754, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,121370, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n37, Private,67125, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n26, Private,67240, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,198346, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n24, Private,141003, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,25, United-States, <=50K\n24, Self-emp-inc,60668, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,104256, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,34, United-States, <=50K\n47, Private,131002, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n33, Self-emp-not-inc,155151, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1740,50, United-States, <=50K\n26, Private,177720, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K\n20, Private,39615, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,203871, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,40, United-States, >50K\n57, State-gov,25045, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Male,2174,0,37, United-States, <=50K\n36, Private,112264, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,169100, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,155659, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Germany, >50K\n39, Private,291665, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,4508,0,24, United-States, <=50K\n29, Private,224215, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,270502, 11th,7, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K\n46, Private,125487, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,51385, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n41, Private,112763, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,108926, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n53, Private,366957, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,99999,0,50, India, >50K\n36, Local-gov,109766, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, <=50K\n38, Private,226106, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n75, Self-emp-not-inc,92792, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n26, Private,186950, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n44, Private,230478, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,231638, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,120461, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n49, Private,33673, 12th,8, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male,0,0,35, United-States, <=50K\n34, Private,191385, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n31, Self-emp-not-inc,229946, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Columbia, <=50K\n47, Self-emp-not-inc,160131, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,190895, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n18, Private,126021, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,20, United-States, <=50K\n47, Private,27815, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,1719,30, United-States, <=50K\n42, Private,203542, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,144592, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,223004, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,75, United-States, <=50K\n22, Private,183257, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n32, Private,172714, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,131611, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,48, United-States, <=50K\n41, Private,253060, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,471990, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,46, United-States, >50K\n44, Private,138966, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, <=50K\n35, Private,385412, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, ?,184101, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n60, Private,103344, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, United-States, >50K\n36, Local-gov,135786, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K\n30, Private,227359, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n40, State-gov,86912, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n21, Private,83033, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,2176,0,20, United-States, <=50K\n25, Private,172581, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, State-gov,274111, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,1669,40, United-States, <=50K\n42, Private,187795, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, United-States, >50K\n26, Private,483822, 7th-8th,4, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, Guatemala, <=50K\n66, Self-emp-inc,220543, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n48, Private,152953, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, Dominican-Republic, <=50K\n35, Private,239755, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K\n41, Private,177905, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n19, Private,200136, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n55, Self-emp-not-inc,111625, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,336513, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,60, United-States, >50K\n45, Private,162915, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Private,116662, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,24763, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n65, Private,225580, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n30, Private,169104, Assoc-acdm,12, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n43, Private,212894, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,93997, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Italy, <=50K\n22, Private,189924, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n23, Private,274424, 11th,7, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,188246, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,284211, HS-grad,9, Widowed, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K\n21, Private,198259, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n31, Private,368517, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n34, Private,168768, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n33, Federal-gov,122220, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, >50K\n32, Private,136204, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,0,2824,55, United-States, >50K\n44, Private,175641, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n21, State-gov,173324, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n75, Local-gov,31195, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n55, Federal-gov,88876, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, United-States, >50K\n43, Self-emp-not-inc,176069, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,16, United-States, <=50K\n31, Private,215297, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n41, Private,198425, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n26, Local-gov,180957, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n23, Private,206129, Assoc-voc,11, Never-married, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n42, Federal-gov,65950, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n29, Private,197618, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,185357, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n28, Private,134890, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n64, ?,193043, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n35, Federal-gov,153633, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n65, Private,115890, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n34, Private,394447, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,2463,0,50, France, <=50K\n58, Private,343957, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n63, ?,247986, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K\n50, Private,238959, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,60, ?, >50K\n59, Private,159048, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,423222, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n30, Private,89735, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,31778, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n51, ?,157327, 5th-6th,3, Married-civ-spouse, ?, Husband, Black, Male,0,0,8, United-States, <=50K\n47, Private,233511, Masters,14, Divorced, Sales, Not-in-family, White, Male,27828,0,60, United-States, >50K\n30, Private,327112, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,1564,40, United-States, >50K\n34, Private,236543, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n51, State-gov,194475, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,303510, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,171242, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n28, Self-emp-not-inc,39388, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n62, Local-gov,197218, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,18, United-States, <=50K\n22, State-gov,151991, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,20, United-States, <=50K\n38, Private,374524, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n34, ?,267352, 11th,7, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n45, Local-gov,364563, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,186035, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n21, Private,47541, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n49, Private,151107, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n24, Private,500509, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n47, Private,138107, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,2258,40, United-States, >50K\n20, Federal-gov,225515, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,24, United-States, <=50K\n27, Private,153291, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n40, Private,169885, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, ?,112780, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n31, Local-gov,175778, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,55213, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1977,52, United-States, >50K\n48, Private,38950, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n64, Self-emp-not-inc,65991, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298,0,45, United-States, >50K\n39, Private,174330, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n50, Private,35224, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,175622, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,164678, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, <=50K\n50, ?,87263, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,55, United-States, >50K\n54, Private,163671, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,65, United-States, >50K\n17, Self-emp-not-inc,181317, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,35, United-States, <=50K\n33, Federal-gov,177945, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Private,47168, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,190023, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n33, Private,168782, Assoc-voc,11, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n59, Private,175290, 7th-8th,4, Never-married, Other-service, Other-relative, White, Male,0,0,32, United-States, <=50K\n74, Private,145463, 1st-4th,2, Widowed, Priv-house-serv, Not-in-family, Black, Female,0,0,15, United-States, <=50K\n54, Private,159755, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,113364, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K\n31, Private,487742, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,304710, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K\n54, Local-gov,185846, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K\n42, Private,212894, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,2407,0,40, United-States, <=50K\n57, Self-emp-not-inc,315460, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, <=50K\n49, Private,135643, HS-grad,9, Widowed, Craft-repair, Unmarried, Asian-Pac-Islander, Female,0,0,40, South, <=50K\n40, Private,220977, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,3103,0,40, India, >50K\n19, ?,117444, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n38, Private,202683, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,164866, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, >50K\n43, Private,191814, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n32, ?,227160, Some-college,10, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,158077, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n38, Private,191103, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,99, United-States, >50K\n25, Private,193701, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n40, Private,143046, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n34, Private,206297, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n35, Self-emp-not-inc,188563, HS-grad,9, Divorced, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K\n53, Private,35102, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,34, United-States, <=50K\n21, Private,203055, Some-college,10, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n43, Private,309932, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,243432, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n22, Private,177107, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K\n64, Self-emp-not-inc,113929, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n19, ?,291509, 12th,8, Never-married, ?, Own-child, White, Male,0,0,28, United-States, <=50K\n40, Private,222011, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,3325,0,40, United-States, <=50K\n34, Private,186824, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,70, United-States, <=50K\n46, Private,192768, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n35, Private,234962, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K\n32, Private,83253, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n26, Private,248990, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,346159, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, Private,272656, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,55, United-States, >50K\n22, Private,60552, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n29, State-gov,33798, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n38, Self-emp-not-inc,112158, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, <=50K\n55, Private,200992, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n26, Private,98155, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-inc,79586, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Other, Male,0,0,60, United-States, <=50K\n25, State-gov,143062, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,101146, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,4650,0,40, United-States, <=50K\n18, ?,284450, 11th,7, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n58, State-gov,159021, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,353270, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,162312, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,45, South, <=50K\n49, State-gov,231961, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Male,0,0,50, United-States, >50K\n38, Private,181943, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n21, Private,163595, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n28, Private,130856, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,208875, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, El-Salvador, >50K\n29, Self-emp-not-inc,58744, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,60, United-States, <=50K\n48, Private,116641, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n40, Private,69333, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,320811, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,197886, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n57, Self-emp-not-inc,253914, 1st-4th,2, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, Mexico, <=50K\n24, Private,89154, 9th,5, Never-married, Other-service, Not-in-family, White, Male,0,0,40, El-Salvador, <=50K\n32, Private,372317, 9th,5, Separated, Other-service, Unmarried, White, Female,0,0,23, Mexico, <=50K\n18, Self-emp-not-inc,296090, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,48, ?, <=50K\n39, Private,192614, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,56, United-States, <=50K\n39, Private,403489, 11th,7, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,169652, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K\n20, Private,217467, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n27, ?,162104, 9th,5, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n54, Private,175912, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,179533, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,75, United-States, >50K\n27, Private,149624, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, United-States, <=50K\n27, Private,289147, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Federal-gov,347720, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K\n22, Private,406978, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K\n17, Private,193199, 11th,7, Never-married, Sales, Unmarried, White, Female,0,0,12, Poland, <=50K\n37, Self-emp-inc,163998, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n49, Private,173115, 10th,6, Separated, Exec-managerial, Not-in-family, Black, Male,4416,0,99, United-States, <=50K\n33, Private,333701, Assoc-voc,11, Never-married, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K\n21, State-gov,48121, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,1602,10, United-States, <=50K\n45, Private,186256, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,104525, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,104097, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,60, United-States, <=50K\n71, Private,212806, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,36, United-States, <=50K\n23, Local-gov,203353, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,45, United-States, <=50K\n41, Private,130126, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, >50K\n21, ?,270043, 10th,6, Never-married, ?, Unmarried, White, Female,0,0,30, United-States, <=50K\n47, Private,218435, HS-grad,9, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,20, Cuba, <=50K\n30, Private,154120, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K\n40, Private,193537, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Dominican-Republic, <=50K\n44, Private,84535, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K\n50, Private,150999, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K\n31, State-gov,157673, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n68, Private,217424, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,24, United-States, <=50K\n45, Private,358886, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,2407,0,50, United-States, <=50K\n38, Private,186191, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n78, Self-emp-inc,212660, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, <=50K\n31, Self-emp-inc,31740, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n39, Private,498785, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,35945, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,45, United-States, >50K\n46, Local-gov,162566, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, Canada, <=50K\n30, Private,118861, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K\n34, Private,206609, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,35, United-States, <=50K\n30, Federal-gov,423064, HS-grad,9, Separated, Adm-clerical, Other-relative, Black, Male,0,0,35, United-States, <=50K\n47, Private,191957, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K\n40, Private,223934, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,17, United-States, >50K\n62, ?,129246, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,195486, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,70, Jamaica, <=50K\n40, Private,114580, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Female,0,0,40, Vietnam, <=50K\n20, Private,119215, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,240554, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,199067, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,42, United-States, >50K\n51, Private,144084, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,358682, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n49, Local-gov,59612, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n49, State-gov,391585, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n30, Local-gov,101345, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,26, United-States, <=50K\n20, Private,117618, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,231238, 9th,5, Separated, Farming-fishing, Unmarried, Black, Male,0,0,40, United-States, <=50K\n42, Local-gov,143046, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,326857, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,2415,65, United-States, >50K\n43, Private,203642, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n62, Private,88579, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n21, Private,240517, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,70, United-States, <=50K\n58, Local-gov,156649, 1st-4th,2, Widowed, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K\n30, Private,143392, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n37, Private,365465, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,70, Philippines, <=50K\n22, State-gov,264710, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n64, State-gov,223830, 9th,5, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n42, Private,154374, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n43, State-gov,242521, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,124569, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,209230, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,6, United-States, <=50K\n21, Private,162228, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Federal-gov,60267, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-not-inc,76901, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n24, Private,137876, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n70, Self-emp-not-inc,347910, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n27, Local-gov,138917, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n34, Private,532379, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,31532, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,30973, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,117295, 1st-4th,2, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n32, Private,295282, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n42, Private,190786, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,246207, Bachelors,13, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n50, Private,130780, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n36, Private,186212, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n42, Private,175526, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,207025, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,6849,0,38, United-States, <=50K\n39, Federal-gov,82622, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n51, Private,199688, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, ?, >50K\n38, State-gov,318886, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,52, United-States, <=50K\n18, Private,256005, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n63, Self-emp-not-inc,217715, 5th-6th,3, Never-married, Sales, Not-in-family, White, Female,0,0,3, United-States, <=50K\n50, Private,205803, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n82, Self-emp-not-inc,240491, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Cuba, <=50K\n33, Private,154120, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K\n37, Private,69251, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n24, Private,333505, HS-grad,9, Married-spouse-absent, Transport-moving, Own-child, White, Male,0,0,40, Peru, <=50K\n31, Private,168521, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n59, Private,193568, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n18, Private,426895, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,55, United-States, <=50K\n47, Self-emp-not-inc,131826, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,79646, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,167031, Bachelors,13, Never-married, Prof-specialty, Unmarried, Other, Female,0,0,33, United-States, <=50K\n34, Private,73199, 11th,7, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n50, Private,114056, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,84, United-States, <=50K\n57, Self-emp-not-inc,110417, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, <=50K\n60, Private,33266, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,154410, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n56, ?,154537, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,50, United-States, >50K\n18, Private,27780, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n26, Private,142914, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,75, United-States, <=50K\n37, Private,190987, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,7298,0,40, United-States, >50K\n20, Private,314422, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n29, Local-gov,273771, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n30, Private,175083, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,52, United-States, <=50K\n21, Private,63665, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n24, Local-gov,193416, Some-college,10, Never-married, Protective-serv, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Private,74275, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,122609, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,225456, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K\n36, Local-gov,116892, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,196971, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,72, United-States, <=50K\n20, Private,105312, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n46, Private,108699, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n44, Private,171615, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n39, Private,388023, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n39, Private,181553, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K\n45, Private,170850, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, >50K\n28, Private,187479, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n44, Private,277720, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K\n48, Local-gov,493862, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,7298,0,38, United-States, >50K\n27, Private,220754, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,70, United-States, <=50K\n34, Self-emp-not-inc,209768, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,93225, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Federal-gov,341709, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,236242, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n21, Private,121889, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n18, Private,318190, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n63, Self-emp-not-inc,111306, 7th-8th,4, Widowed, Farming-fishing, Unmarried, White, Female,0,0,10, United-States, <=50K\n18, Private,198614, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,8, United-States, <=50K\n32, Private,193231, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, ?,104614, 11th,7, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,172368, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K\n23, Private,60331, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n38, Private,154568, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n36, Private,192939, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K\n43, Private,138184, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,1762,35, United-States, <=50K\n45, Private,238567, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, England, >50K\n30, Private,208068, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K\n46, Private,181810, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,4064,0,40, United-States, <=50K\n24, Federal-gov,283918, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,25, United-States, <=50K\n42, Private,107276, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,2444,40, United-States, >50K\n23, Private,37783, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,263552, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n48, Private,255439, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-inc,344275, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K\n31, Private,70568, 1st-4th,2, Never-married, Other-service, Other-relative, White, Female,0,0,25, El-Salvador, <=50K\n18, Private,127827, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n36, Private,185203, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Private,123436, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n51, Self-emp-not-inc,136322, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1579,40, United-States, <=50K\n22, Private,187052, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n72, Private,177769, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K\n61, Private,68268, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n42, Private,424855, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3908,0,40, United-States, <=50K\n37, Federal-gov,81853, HS-grad,9, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, ?, <=50K\n30, Self-emp-inc,153549, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n40, Private,271393, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,198148, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n65, Private,469602, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K\n36, Private,163290, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,295949, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,125279, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n64, Local-gov,182866, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,111563, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, >50K\n38, Private,34173, Bachelors,13, Never-married, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K\n27, Private,183627, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n24, Private,197757, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n39, Private,98941, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n44, Private,205474, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,206659, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n73, ?,191394, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n66, Private,244661, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n53, Private,47396, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n43, State-gov,270721, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n57, State-gov,32694, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,171256, Assoc-acdm,12, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,45, United-States, <=50K\n59, Private,169982, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2002,50, United-States, <=50K\n52, Self-emp-not-inc,217210, HS-grad,9, Widowed, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K\n46, Private,218329, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,386643, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Federal-gov,125933, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-not-inc,155767, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n39, Federal-gov,432555, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,1628,40, United-States, <=50K\n30, Private,54929, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n59, Private,162136, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,56, United-States, <=50K\n22, Private,256504, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,162098, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n39, Self-emp-not-inc,103110, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,227610, 10th,6, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,58, United-States, <=50K\n63, Private,176696, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n51, Private,220019, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-inc,242984, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n38, Private,187847, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,132636, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n20, Private,108887, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n42, Self-emp-not-inc,195897, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,112181, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,12, United-States, >50K\n56, Local-gov,391926, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,195505, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,5, United-States, <=50K\n31, Private,43819, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,43, United-States, >50K\n23, Private,145389, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n33, ?,186824, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,101833, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,82283, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n52, Private,99602, HS-grad,9, Separated, Craft-repair, Own-child, Black, Female,0,0,40, United-States, <=50K\n28, Private,213276, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n59, Private,424468, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n30, Private,176123, 10th,6, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n32, Private,38797, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,101859, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n53, Private,87158, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,205066, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K\n26, Private,56929, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,50, ?, <=50K\n34, Private,25322, Bachelors,13, Married-spouse-absent, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,2339,40, ?, <=50K\n31, Private,87950, Assoc-voc,11, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n34, Private,150154, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n58, Private,142076, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,4787,0,39, United-States, >50K\n30, State-gov,112139, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,149217, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n27, Private,189974, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n23, Private,109199, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n24, Private,190290, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n36, Private,189404, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,35, United-States, >50K\n33, Federal-gov,428271, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n22, State-gov,134192, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,10, United-States, <=50K\n47, Private,168211, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n34, Private,277314, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, Black, Male,0,1902,50, United-States, >50K\n44, Federal-gov,316120, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, >50K\n41, Private,107276, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n45, ?,112453, HS-grad,9, Separated, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,4, United-States, <=50K\n24, Private,346909, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, Mexico, <=50K\n65, ?,105017, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,317360, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n23, Private,189017, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n54, Private,138179, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,299813, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,37, Dominican-Republic, <=50K\n45, Private,265083, 5th-6th,3, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,35, Mexico, <=50K\n50, Private,185846, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,184655, Assoc-acdm,12, Never-married, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K\n24, Private,200295, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,117319, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,40, United-States, <=50K\n50, Private,63000, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n58, Self-emp-not-inc,106942, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n47, Private,52795, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,46, United-States, <=50K\n37, Private,51264, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,99, France, >50K\n37, Self-emp-not-inc,410919, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n22, Private,105592, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n29, Self-emp-not-inc,183151, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n45, Private,209912, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K\n49, Self-emp-not-inc,275845, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n44, Local-gov,241851, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,4386,0,40, United-States, >50K\n72, Private,89299, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K\n63, Self-emp-not-inc,106648, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,12, United-States, <=50K\n26, Private,58426, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n58, Self-emp-not-inc,121912, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K\n40, Private,170730, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n56, Private,257555, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,51499, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K\n28, Private,195000, Bachelors,13, Never-married, Sales, Other-relative, White, Female,0,0,45, United-States, <=50K\n57, Private,108741, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n37, Private,184964, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n44, Private,156815, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,49325, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,121718, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Germany, <=50K\n18, Private,172076, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n57, Self-emp-not-inc,327901, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n53, Local-gov,215990, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K\n38, Private,210866, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K\n33, Private,322873, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n42, Private,265698, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n70, ?,26990, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K\n50, Private,177896, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n50, Private,189107, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,306830, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Nicaragua, <=50K\n72, Federal-gov,39110, 11th,7, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,8, Canada, <=50K\n33, Private,155475, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,135803, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,25, Philippines, <=50K\n48, Private,117849, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n64, Self-emp-not-inc,339321, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,24, United-States, >50K\n19, Private,318822, 11th,7, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,35, United-States, <=50K\n48, Private,174794, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,204277, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1848,48, United-States, >50K\n55, Private,182460, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,35, United-States, >50K\n24, Private,193920, Masters,14, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,45, ?, <=50K\n42, Federal-gov,91468, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,106760, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, Canada, >50K\n34, Private,375680, Assoc-acdm,12, Never-married, Craft-repair, Own-child, Black, Female,0,0,40, United-States, <=50K\n55, Self-emp-inc,222615, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n22, Private,190968, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,76767, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n50, Self-emp-not-inc,203098, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n47, Local-gov,162187, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,40, United-States, >50K\n25, Private,242729, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n52, Private,253784, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n30, Private,206051, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,181553, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n73, Self-emp-inc,80986, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K\n50, Private,200783, 7th-8th,4, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n34, Private,42596, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n24, Private,464502, Assoc-acdm,12, Never-married, Sales, Not-in-family, Black, Male,0,0,40, ?, <=50K\n66, Private,205724, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, >50K\n22, Private,446140, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,55, United-States, <=50K\n69, Local-gov,32287, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, United-States, <=50K\n23, Private,56774, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,308118, Bachelors,13, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, ?, <=50K\n35, Private,176279, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n20, Private,103277, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n70, Self-emp-inc,225780, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, >50K\n54, Private,154728, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,7688,0,40, United-States, >50K\n34, Private,149943, HS-grad,9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K\n38, State-gov,22245, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n33, Private,93056, 7th-8th,4, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,270522, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,26, United-States, <=50K\n60, Self-emp-inc,123218, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n81, Self-emp-not-inc,123959, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,1668,3, Hungary, <=50K\n32, Self-emp-not-inc,103642, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n34, Private,157747, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n46, Self-emp-not-inc,154083, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K\n30, State-gov,23037, Some-college,10, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0,0,84, United-States, <=50K\n23, ?,226891, HS-grad,9, Never-married, ?, Other-relative, Asian-Pac-Islander, Female,0,0,20, South, <=50K\n29, Private,50028, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,138251, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,369825, 7th-8th,4, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,25, United-States, <=50K\n36, Federal-gov,44364, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,36, United-States, <=50K\n23, Private,230704, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,22, United-States, <=50K\n35, Private,42044, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K\n28, Local-gov,56340, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, State-gov,156015, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,163434, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,85251, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n38, Self-emp-inc,187411, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,155124, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,1669,40, United-States, <=50K\n25, Private,396633, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,56, United-States, >50K\n45, Private,182313, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n38, Private,52596, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n66, ?,260111, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n65, Local-gov,143570, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n30, Private,160634, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, >50K\n54, Private,29909, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,43, United-States, <=50K\n49, Private,94215, 12th,8, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,151990, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,15, United-States, >50K\n48, Federal-gov,188081, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,218445, 5th-6th,3, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,12, Mexico, <=50K\n77, Private,235775, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, Cuba, <=50K\n19, Private,98605, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n30, Private,188398, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n41, Self-emp-inc,140365, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,55, United-States, >50K\n35, Private,202950, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, Iran, >50K\n20, Private,218215, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n66, Self-emp-inc,197816, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,10605,0,40, United-States, >50K\n49, Private,147002, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K\n52, Private,138497, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n24, Private,57711, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K\n50, Private,169925, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, United-States, <=50K\n22, Private,72310, 11th,7, Never-married, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K\n19, Private,170800, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n39, Private,215095, 11th,7, Never-married, Prof-specialty, Unmarried, White, Female,0,0,30, Puerto-Rico, <=50K\n45, Private,480717, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,38, ?, <=50K\n61, Local-gov,34632, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n45, Private,140664, Assoc-acdm,12, Divorced, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K\n36, Local-gov,177858, Bachelors,13, Married-civ-spouse, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,160369, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,45, United-States, >50K\n38, Private,129102, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n52, Local-gov,278522, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Federal-gov,124953, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,42, United-States, >50K\n33, Private,63184, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,165815, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,248584, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n46, Local-gov,226871, Bachelors,13, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,50, United-States, >50K\n44, Private,267717, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,45, United-States, >50K\n19, Private,60367, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,13, United-States, <=50K\n44, Private,134120, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n40, Private,95639, HS-grad,9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n20, Private,132053, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,2, United-States, <=50K\n24, Private,138768, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n76, Private,203910, HS-grad,9, Widowed, Other-service, Not-in-family, White, Male,0,0,17, United-States, <=50K\n20, Private,109952, HS-grad,9, Married-civ-spouse, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K\n33, Private,155781, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n31, Private,49398, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,159303, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,248339, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n29, Private,190539, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1590,50, United-States, <=50K\n30, Private,183620, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n48, Private,25468, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,99999,0,50, United-States, >50K\n42, Private,201495, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,52221, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-inc,96460, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K\n42, Private,325353, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,42, United-States, >50K\n28, Self-emp-not-inc,176027, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K\n42, Local-gov,266135, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, >50K\n60, State-gov,194252, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,3103,0,40, United-States, >50K\n76, ?,164835, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n21, Private,363192, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,31360, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,63503, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,157614, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,0,38, United-States, <=50K\n45, Private,160647, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,4687,0,35, United-States, >50K\n38, Private,363395, Some-college,10, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,338376, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n29, Private,87523, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,280714, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-inc,119565, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n36, Local-gov,171482, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, >50K\n40, Self-emp-inc,49249, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,331552, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n45, Private,174426, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,184105, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,28, United-States, <=50K\n29, Private,37933, Bachelors,13, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,291529, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,13, United-States, >50K\n23, Private,376416, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,263612, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, Haiti, <=50K\n23, Private,227471, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K\n39, Private,191103, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,35644, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n43, Self-emp-not-inc,227298, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n25, State-gov,187508, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,184378, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Puerto-Rico, <=50K\n52, Self-emp-not-inc,190333, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,25, United-States, <=50K\n48, Private,155372, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,36, United-States, <=50K\n37, Private,259882, Assoc-voc,11, Never-married, Sales, Unmarried, Black, Female,0,0,6, United-States, <=50K\n36, Private,217077, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,103596, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,188236, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n24, Private,353010, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,10, United-States, <=50K\n42, Local-gov,70655, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-inc,64874, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Federal-gov,219240, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,22, United-States, <=50K\n50, Self-emp-inc,104849, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n40, Private,173590, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,412316, HS-grad,9, Never-married, Sales, Other-relative, Black, Male,0,0,40, ?, <=50K\n57, Self-emp-inc,195835, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,170579, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n61, Federal-gov,230545, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, Puerto-Rico, <=50K\n71, Private,162297, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,20, United-States, <=50K\n47, Private,169549, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,117528, Bachelors,13, Never-married, Other-service, Other-relative, White, Female,0,0,45, United-States, <=50K\n25, Private,273876, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K\n33, Private,529104, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n40, State-gov,456110, 11th,7, Divorced, Transport-moving, Unmarried, White, Female,0,0,52, United-States, <=50K\n39, ?,180868, 11th,7, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n29, Private,170301, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,2829,0,40, United-States, <=50K\n33, Private,55717, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,166181, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,36, United-States, <=50K\n24, Private,52242, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n28, Private,224629, Masters,14, Never-married, Exec-managerial, Not-in-family, Other, Male,0,0,30, Cuba, <=50K\n20, Private,197997, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,46144, Some-college,10, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, State-gov,180871, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, <=50K\n25, Private,212311, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Private,232874, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,175999, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,177121, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,58, United-States, <=50K\n57, Private,299358, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,1719,25, United-States, <=50K\n20, ?,326624, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n56, Private,129836, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,10, United-States, <=50K\n24, Private,225515, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Private,145664, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K\n37, Private,151764, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,183523, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,257869, Some-college,10, Separated, Other-service, Not-in-family, White, Male,0,0,28, Columbia, <=50K\n40, Private,73025, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,30, China, <=50K\n18, Private,165532, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n51, Federal-gov,140035, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-not-inc,325159, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n64, Federal-gov,161926, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,8, United-States, <=50K\n24, Private,163665, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,2174,0,40, United-States, <=50K\n33, Private,106938, HS-grad,9, Married-civ-spouse, Tech-support, Wife, Black, Female,0,0,38, United-States, <=50K\n31, Private,97453, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Local-gov,242464, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,3103,0,40, United-States, >50K\n54, Private,155233, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,14084,0,40, United-States, >50K\n31, Private,248653, 1st-4th,2, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,37, Mexico, <=50K\n39, Private,59313, 12th,8, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male,0,0,45, ?, <=50K\n22, Private,141297, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,227325, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n68, Private,123653, 5th-6th,3, Separated, Other-service, Not-in-family, White, Male,0,0,12, Italy, <=50K\n59, Federal-gov,176317, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K\n35, Self-emp-not-inc,77146, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,45, United-States, <=50K\n25, Private,169124, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,179413, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n35, Private,180137, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, <=50K\n17, State-gov,179319, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n19, Private,45766, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K\n53, Private,152810, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,55, United-States, >50K\n59, Private,214052, 5th-6th,3, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,201141, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,37, United-States, <=50K\n74, Self-emp-not-inc,43599, HS-grad,9, Widowed, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n28, Private,292536, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n40, Private,82161, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,180656, Some-college,10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K\n20, Private,181370, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n80, Private,148623, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n51, Private,84399, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n17, Private,143331, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n37, Federal-gov,48779, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,175495, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,24, United-States, <=50K\n58, Private,83542, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,214619, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,160035, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Federal-gov,39603, Some-college,10, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n36, Private,181589, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,32, Columbia, <=50K\n33, Private,261511, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,29522, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n30, Private,36340, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,24, United-States, <=50K\n41, Private,320984, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,65, United-States, >50K\n57, ?,403625, Some-college,10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,60, United-States, >50K\n23, Private,122346, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,105794, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,14084,0,50, United-States, >50K\n53, Private,152883, HS-grad,9, Widowed, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n31, State-gov,123037, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,13, United-States, <=50K\n41, ?,339682, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Mexico, <=50K\n36, Private,182074, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n30, Private,248588, 12th,8, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,187584, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Canada, <=50K\n36, Private,46706, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,190290, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n48, Self-emp-not-inc,247294, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, Peru, <=50K\n22, Private,117779, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,121602, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,451744, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Private,107793, HS-grad,9, Divorced, Other-service, Own-child, White, Male,2174,0,40, United-States, <=50K\n35, Private,339772, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n21, Private,185582, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,43, United-States, <=50K\n26, Private,260614, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n19, Local-gov,53220, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n43, Private,213844, HS-grad,9, Married-AF-spouse, Craft-repair, Wife, Black, Female,0,0,42, United-States, >50K\n33, Private,213226, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n30, Private,58582, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,10, United-States, <=50K\n52, Private,193116, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n38, Local-gov,201410, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,190525, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,46, United-States, >50K\n57, Self-emp-not-inc,138285, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Iran, <=50K\n51, Private,111939, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n50, Private,109277, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n32, Private,331539, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, China, >50K\n32, Private,396745, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,48, United-States, >50K\n37, Private,126675, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n69, Self-emp-not-inc,349022, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,33, United-States, <=50K\n33, ?,98145, Some-college,10, Divorced, ?, Unmarried, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K\n37, Private,234901, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Germany, >50K\n36, Private,100681, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,2463,0,40, United-States, <=50K\n47, Self-emp-not-inc,265097, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n63, Private,237379, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,44793, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,65, United-States, <=50K\n17, Private,270942, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,35, Mexico, <=50K\n56, Private,193622, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n90, Local-gov,187749, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,20, Philippines, <=50K\n27, Private,160178, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n38, Private,680390, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n33, Private,96245, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,34803, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,170091, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n42, Private,231813, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,23789, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, State-gov,438711, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K\n66, Private,169804, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,20051,0,40, United-States, >50K\n66, Local-gov,376506, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,3273,0,40, United-States, <=50K\n49, Private,28791, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,162814, HS-grad,9, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,45, United-States, <=50K\n38, Private,58108, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n40, Self-emp-inc,102226, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n22, Federal-gov,209131, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n46, Self-emp-not-inc,157117, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,172865, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n19, Private,29798, 12th,8, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,20, United-States, <=50K\n71, ?,229424, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Local-gov,80680, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,1151,0,35, United-States, <=50K\n52, Local-gov,238959, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,32, United-States, >50K\n27, Private,189462, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,46, United-States, <=50K\n52, Private,139347, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, <=50K\n31, Private,188108, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,4101,0,40, United-States, <=50K\n37, Self-emp-inc,111128, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,81540, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,257562, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n31, Private,59496, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,29974, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,102597, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n69, Private,41419, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n50, Private,118565, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n54, State-gov,312897, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,46, England, >50K\n17, Private,166290, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n34, Private,160261, HS-grad,9, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Male,14084,0,35, China, >50K\n32, Self-emp-not-inc,116834, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,5, ?, <=50K\n23, Private,203076, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n66, Private,201197, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n61, Private,273803, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,156797, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,283896, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,149368, HS-grad,9, Divorced, Sales, Unmarried, White, Male,1151,0,30, United-States, <=50K\n49, Private,156926, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n21, ?,163911, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,3, United-States, <=50K\n56, Self-emp-inc,165881, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,86872, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,167523, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Private,154950, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n40, Federal-gov,171231, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K\n62, Private,244933, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n54, Private,256908, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,25, United-States, >50K\n34, Self-emp-not-inc,33442, Assoc-voc,11, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n18, Private,126142, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K\n28, ?,268222, 11th,7, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n32, Private,167106, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Hong, <=50K\n22, Local-gov,50065, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n34, State-gov,252529, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K\n53, ?,199665, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K\n47, Private,343579, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n19, Private,190817, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-inc,151089, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,55, United-States, >50K\n46, Private,186820, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,5013,0,40, United-States, <=50K\n56, Self-emp-not-inc,210731, 7th-8th,4, Divorced, Sales, Other-relative, White, Male,0,0,20, Mexico, <=50K\n42, Private,123816, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n25, Private,77071, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,2339,35, United-States, <=50K\n42, Private,115085, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n43, Private,170525, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,14344,0,40, United-States, >50K\n17, Private,209949, 11th,7, Never-married, Sales, Own-child, White, Female,0,1602,12, United-States, <=50K\n57, Self-emp-not-inc,34297, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,180985, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n62, Local-gov,33365, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,40, Canada, <=50K\n20, Private,197752, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,16, United-States, <=50K\n47, Private,180551, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,77975, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,159297, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,40, ?, >50K\n48, Private,94342, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n39, Self-emp-inc,34180, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n46, Local-gov,367251, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n72, Self-emp-inc,172407, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n53, Private,303462, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K\n47, Federal-gov,220269, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-not-inc,45093, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, Canada, <=50K\n34, Private,101709, HS-grad,9, Separated, Transport-moving, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n41, Private,219591, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,76625, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,342599, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n42, Self-emp-inc,125846, 1st-4th,2, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, ?, <=50K\n54, Local-gov,238257, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n39, Self-emp-inc,206253, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n37, Private,172571, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Private,95165, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n69, Private,141181, 5th-6th,3, Married-civ-spouse, Adm-clerical, Husband, White, Male,1797,0,40, United-States, <=50K\n24, Private,267843, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,35, United-States, <=50K\n36, Private,181382, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K\n21, ?,207782, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n68, ?,103161, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,32, United-States, <=50K\n20, Private,132320, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Self-emp-not-inc,201138, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n48, Private,239058, 12th,8, Widowed, Handlers-cleaners, Unmarried, White, Female,0,0,50, United-States, <=50K\n39, Self-emp-inc,239755, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K\n21, Private,176262, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,18, United-States, <=50K\n22, Private,264738, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Female,0,0,42, Germany, <=50K\n34, Private,182218, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,318982, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n46, Private,216666, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Guatemala, <=50K\n47, Private,274200, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n65, Private,150095, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,192978, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,68021, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n34, Self-emp-not-inc,28568, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K\n20, Private,115057, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,139568, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-inc,138497, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n40, State-gov,182460, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,38, China, >50K\n22, Private,253310, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,7, United-States, <=50K\n29, Self-emp-inc,130856, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n31, Self-emp-not-inc,389765, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n42, Federal-gov,52781, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n38, Private,146178, HS-grad,9, Never-married, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n22, Private,231053, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,70, United-States, >50K\n21, ?,145964, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,483450, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Mexico, <=50K\n43, Self-emp-inc,198316, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,160614, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n17, Self-emp-inc,325171, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K\n54, Self-emp-not-inc,172898, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,50, United-States, >50K\n45, Private,186473, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Local-gov,286967, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n51, Self-emp-not-inc,111939, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, >50K\n65, Federal-gov,325089, 10th,6, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n21, Private,143582, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,45, United-States, <=50K\n40, Private,308027, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n58, Private,105060, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K\n53, Federal-gov,39643, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,58, United-States, <=50K\n39, Private,186191, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,50, United-States, >50K\n56, Local-gov,267763, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,124293, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n44, Private,36271, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,143459, 9th,5, Separated, Handlers-cleaners, Own-child, White, Male,0,0,38, United-States, <=50K\n36, Private,186376, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K\n59, Self-emp-inc,52822, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n33, Private,104509, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,184456, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,27828,0,50, United-States, >50K\n26, Private,192302, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, <=50K\n22, Private,156822, 10th,6, Never-married, Sales, Not-in-family, White, Female,0,1762,25, United-States, <=50K\n25, Private,214413, Masters,14, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,108574, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,15, United-States, <=50K\n41, Private,223934, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n45, Private,200559, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n43, Private,137722, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,261677, 9th,5, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K\n33, Private,136331, HS-grad,9, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n34, Private,329993, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,91819, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n31, Private,201122, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,45, United-States, >50K\n48, Private,315423, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,103277, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n47, Private,236805, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,60, United-States, <=50K\n27, Private,74883, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n18, Private,115443, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,25, United-States, <=50K\n43, Private,150528, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,43701, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n37, Federal-gov,419053, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,183594, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n24, Private,390348, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,36989, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,3908,0,70, United-States, <=50K\n48, Private,247895, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n75, Private,191446, 1st-4th,2, Married-civ-spouse, Other-service, Other-relative, Black, Female,0,0,16, United-States, <=50K\n43, Self-emp-not-inc,33521, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, >50K\n64, Private,46087, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n67, ?,129188, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,20051,0,5, United-States, >50K\n36, Private,356824, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Private,158746, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,153323, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,20, United-States, <=50K\n73, Self-emp-not-inc,130391, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,36, United-States, <=50K\n46, Private,173613, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,362883, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n43, Private,182757, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,50397, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K\n43, Federal-gov,101709, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n21, Private,202570, 12th,8, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,48, ?, <=50K\n40, Private,145649, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K\n36, Private,136343, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n64, Self-emp-inc,142166, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n19, ?,242001, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Private,127089, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,38, United-States, >50K\n46, Local-gov,124071, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,65, United-States, >50K\n41, Local-gov,190368, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K\n29, ?,19793, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,8, United-States, <=50K\n28, Private,67661, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n23, Private,62278, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n30, Federal-gov,295010, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,0,0,60, United-States, >50K\n44, Private,203897, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, Cuba, <=50K\n27, Private,265314, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,159603, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,34, United-States, <=50K\n29, Private,134331, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,123011, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Poland, >50K\n27, Private,274964, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K\n34, Private,66309, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n38, Private,73471, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n24, ?,26671, HS-grad,9, Never-married, ?, Other-relative, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n56, Private,357118, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n35, Self-emp-inc,184655, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,62, United-States, <=50K\n23, ?,55492, Assoc-voc,11, Never-married, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,30, United-States, <=50K\n23, Private,175266, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,188008, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n42, Private,87284, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,35, United-States, >50K\n46, Private,330087, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K\n48, Self-emp-inc,56975, HS-grad,9, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female,0,0,84, ?, <=50K\n27, Private,150025, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K\n22, ?,189203, Assoc-acdm,12, Never-married, ?, Other-relative, White, Male,0,0,15, United-States, <=50K\n49, Self-emp-inc,330874, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n23, Private,136824, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n24, Private,201179, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,324654, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n25, Federal-gov,366207, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,103860, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n22, Private,106700, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,27, United-States, <=50K\n54, Local-gov,163557, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n39, Self-emp-inc,286261, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,123083, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n75, Self-emp-inc,125197, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,26, United-States, <=50K\n28, Self-emp-not-inc,278073, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,30, United-States, <=50K\n50, Private,133963, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n62, Self-emp-not-inc,71467, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n40, Private,76487, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n58, Local-gov,215245, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,37, United-States, <=50K\n24, Federal-gov,127185, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n21, Private,179720, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K\n40, Private,88909, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n45, Private,341995, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,42, United-States, >50K\n48, Private,173938, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,344275, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K\n23, Private,150463, HS-grad,9, Never-married, Priv-house-serv, Unmarried, Other, Female,0,0,40, Guatemala, <=50K\n43, Local-gov,209544, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,10520,0,50, United-States, >50K\n42, Local-gov,201723, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,343476, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, Japan, >50K\n52, Self-emp-inc,77392, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n21, ?,171156, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n56, Self-emp-not-inc,357118, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K\n48, Federal-gov,167749, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n37, Self-emp-not-inc,352882, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,70, South, >50K\n25, Private,51201, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n40, Private,365986, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, >50K\n34, Private,400416, 11th,7, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,45, United-States, <=50K\n52, Private,31533, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,106900, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,1902,42, United-States, >50K\n36, Local-gov,192337, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,118712, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,1504,40, United-States, <=50K\n28, Private,301654, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,145162, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, ?, >50K\n20, Private,88126, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,9, England, <=50K\n68, Private,165017, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Italy, >50K\n35, Private,238342, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,857532, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K\n64, Private,134378, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,260797, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,23, United-States, <=50K\n25, Private,138765, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n74, ?,256674, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n31, Private,247444, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Columbia, <=50K\n51, State-gov,454063, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n67, Private,180539, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,10, United-States, <=50K\n42, Private,397346, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n29, Private,107160, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,262024, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n21, Private,131230, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,37, United-States, <=50K\n67, Private,274451, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, United-States, <=50K\n41, State-gov,365986, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K\n27, Private,204515, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,36, United-States, <=50K\n51, Private,99316, 12th,8, Divorced, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K\n21, ?,206681, 11th,7, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n28, Private,268726, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K\n21, Private,275395, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,383322, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,126822, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K\n39, Self-emp-inc,168355, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n21, Private,162667, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, Columbia, <=50K\n43, Private,373403, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,274562, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,14344,0,40, United-States, >50K\n28, Private,249362, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n31, Private,111567, 9th,5, Never-married, Sales, Not-in-family, White, Male,0,0,43, United-States, >50K\n18, ?,216508, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n27, Private,145784, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0,0,45, United-States, <=50K\n34, State-gov,209317, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,259505, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,345360, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, England, <=50K\n43, Local-gov,198096, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n40, Self-emp-inc,33126, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n21, Private,206354, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K\n25, Private,1484705, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,25, United-States, <=50K\n21, Private,26410, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Self-emp-not-inc,220901, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K\n49, Self-emp-inc,44671, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,38620, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n36, Private,89040, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,47, United-States, <=50K\n32, Private,370160, Some-college,10, Separated, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,208946, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,32, United-States, <=50K\n21, Private,131230, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,10, United-States, <=50K\n25, Private,60358, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,350853, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, ?, <=50K\n24, Private,209782, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,351952, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K\n26, Private,142081, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Mexico, <=50K\n22, Private,164775, 9th,5, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, Guatemala, <=50K\n41, Local-gov,47858, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,404085, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n24, Private,218678, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,184655, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,48, United-States, <=50K\n36, Private,321760, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,17, United-States, <=50K\n45, Local-gov,185399, Masters,14, Divorced, Prof-specialty, Own-child, White, Female,0,0,55, United-States, <=50K\n38, Local-gov,409200, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,40077, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n34, Self-emp-not-inc,31740, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Local-gov,233722, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n32, Private,192039, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n17, Private,222618, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,30, United-States, <=50K\n45, State-gov,213646, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n31, Local-gov,194141, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, <=50K\n47, State-gov,80282, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n27, Private,166350, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n61, Federal-gov,60641, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K\n33, Private,124827, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n67, Private,105438, HS-grad,9, Separated, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K\n38, Private,85244, Bachelors,13, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,120535, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Local-gov,269604, 5th-6th,3, Never-married, Other-service, Unmarried, Other, Female,0,0,40, El-Salvador, <=50K\n27, Private,247711, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n45, Private,380922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n24, Private,281221, Bachelors,13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, Taiwan, <=50K\n23, Private,269687, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,181758, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n61, Federal-gov,136787, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,107882, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n34, Private,172579, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,29933, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,40, United-States, >50K\n35, Federal-gov,38905, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n36, Private,168826, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,424034, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n60, Private,117509, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, ?,196971, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,43, United-States, <=50K\n64, Private,69525, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,20, United-States, <=50K\n22, Private,374116, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n27, Private,283913, 5th-6th,3, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,65, England, <=50K\n36, State-gov,147258, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n27, Private,139903, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,30, United-States, <=50K\n52, Private,112959, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,264148, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n23, Private,256211, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,24, Vietnam, <=50K\n29, Self-emp-not-inc,142519, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,281852, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,80, United-States, <=50K\n38, Private,380543, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n50, Self-emp-not-inc,204402, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, >50K\n50, Private,192203, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,199005, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n17, Self-emp-inc,61838, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,210095, 11th,7, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n19, Private,187352, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,32451, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,140569, Some-college,10, Separated, Sales, Not-in-family, White, Male,14084,0,60, United-States, >50K\n39, Private,87556, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,6849,0,40, United-States, <=50K\n18, Private,79443, 9th,5, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K\n27, Private,212622, Masters,14, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,32650, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K\n44, Private,125461, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,219867, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K\n32, Local-gov,206609, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Private,101299, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,29437, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n65, Private,87164, 11th,7, Widowed, Sales, Other-relative, White, Female,0,0,20, United-States, <=50K\n57, Self-emp-inc,146103, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n48, Private,169324, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,32, Haiti, <=50K\n46, Private,138370, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,1651,40, China, <=50K\n27, Private,29523, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n29, Local-gov,383745, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1485,40, United-States, >50K\n21, ?,247075, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,25, United-States, <=50K\n20, ?,200967, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,12, United-States, <=50K\n51, ?,175985, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-inc,189404, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1740,40, United-States, <=50K\n29, Self-emp-not-inc,267661, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n30, Local-gov,182926, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,15024,0,40, United-States, >50K\n65, Private,243858, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K\n20, ?,43587, HS-grad,9, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n47, Federal-gov,31339, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,204682, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,2174,0,40, Japan, <=50K\n17, Private,73145, 9th,5, Never-married, Craft-repair, Own-child, White, Female,0,0,16, United-States, <=50K\n38, Local-gov,218184, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K\n38, Local-gov,223237, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n39, Self-emp-not-inc,93319, HS-grad,9, Never-married, Sales, Other-relative, White, Female,0,0,4, United-States, <=50K\n24, ?,212300, HS-grad,9, Separated, ?, Not-in-family, White, Female,0,0,38, United-States, <=50K\n52, Private,187356, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,41, United-States, <=50K\n46, Self-emp-not-inc,220832, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,58, United-States, >50K\n22, Private,211361, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K\n56, Private,134195, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n37, Self-emp-not-inc,218249, 11th,7, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,30, United-States, <=50K\n59, Private,70720, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,55, United-States, >50K\n19, Self-emp-not-inc,342384, 11th,7, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,2129,55, United-States, <=50K\n31, Private,237317, 9th,5, Never-married, Craft-repair, Not-in-family, Other, Male,0,0,45, United-States, <=50K\n22, Private,359759, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,20, Philippines, <=50K\n48, Self-emp-not-inc,181758, Doctorate,16, Never-married, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, >50K\n63, Self-emp-inc,267101, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n33, Private,222221, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K\n53, Private,55139, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,10, United-States, <=50K\n38, Private,220237, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, >50K\n39, Private,101073, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, <=50K\n59, Private,69884, Prof-school,15, Married-spouse-absent, Prof-specialty, Unmarried, White, Male,0,0,50, United-States, <=50K\n45, Private,201127, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,164733, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n60, State-gov,129447, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n38, Private,32837, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,56, United-States, <=50K\n31, Private,200117, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,219183, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n66, ?,188842, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K\n26, Private,272669, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,20, South, <=50K\n60, Self-emp-inc,336188, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,80, United-States, >50K\n68, ?,191288, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K\n32, Private,176185, Some-college,10, Divorced, Exec-managerial, Other-relative, White, Male,0,0,60, United-States, <=50K\n25, Local-gov,197728, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,20, United-States, <=50K\n43, Local-gov,144778, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, <=50K\n26, ?,133373, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,44, United-States, <=50K\n55, Private,197399, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, United-States, >50K\n66, Private,86010, 10th,6, Widowed, Transport-moving, Not-in-family, White, Female,0,0,11, United-States, <=50K\n31, Private,228873, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,187415, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,50, ?, <=50K\n58, Self-emp-inc,112945, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,27828,0,40, United-States, >50K\n56, Private,98361, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n22, Private,129172, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n46, Local-gov,316205, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n33, Private,226629, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K\n26, State-gov,180886, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n42, Self-emp-not-inc,69333, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n45, Private,213620, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Private,197397, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, Other, Female,0,0,6, Puerto-Rico, <=50K\n19, Private,223648, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, ?, <=50K\n27, Private,179915, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,99, United-States, <=50K\n51, Private,339905, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n42, Private,112956, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,421837, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, Mexico, >50K\n38, Private,187999, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n44, Private,77313, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,231948, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,64, United-States, >50K\n37, Private,37109, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,60, Philippines, <=50K\n29, Private,79387, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n53, ?,133963, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,177937, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,45, Poland, <=50K\n80, Private,173488, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n61, Private,183355, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,147989, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,52, United-States, <=50K\n20, Private,289944, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n23, Private,62278, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n48, Federal-gov,110457, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,295763, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,50, United-States, <=50K\n71, State-gov,100063, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n49, Private,194962, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,6, United-States, <=50K\n39, Federal-gov,227597, HS-grad,9, Never-married, Armed-Forces, Not-in-family, White, Male,0,0,50, United-States, <=50K\n22, Private,117606, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n67, Federal-gov,44774, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,177648, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n38, Private,172571, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,54, United-States, >50K\n38, ?,203482, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K\n50, Private,153931, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,84774, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,40, United-States, <=50K\n23, Private,157127, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n26, Private,170786, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,281030, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,203761, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,10520,0,40, United-States, >50K\n27, Private,167405, HS-grad,9, Married-spouse-absent, Farming-fishing, Own-child, White, Female,0,0,40, Mexico, <=50K\n40, Local-gov,188436, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,40, United-States, >50K\n43, Private,388849, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K\n31, State-gov,176998, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K\n57, Private,200316, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,160300, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K\n22, Private,236684, Assoc-voc,11, Never-married, Other-service, Own-child, Black, Female,0,0,36, United-States, <=50K\n20, Local-gov,247794, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n27, Private,267325, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,3464,0,40, United-States, <=50K\n39, Private,279490, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, Mexico, <=50K\n27, State-gov,280618, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,248406, HS-grad,9, Separated, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Local-gov,226494, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n41, Private,220460, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K\n25, Private,108317, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, State-gov,147256, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, >50K\n22, Private,110371, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K\n62, Private,114060, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,91, United-States, <=50K\n29, Federal-gov,31161, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Other, Female,0,0,40, United-States, <=50K\n44, Private,105862, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,70, United-States, >50K\n32, Private,402089, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,2, United-States, <=50K\n19, ?,425447, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n20, Private,137300, Assoc-voc,11, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n65, State-gov,326691, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K\n24, Private,275093, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,36, United-States, <=50K\n37, Self-emp-not-inc,112497, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n43, Local-gov,174491, HS-grad,9, Divorced, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,114835, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,60, United-States, >50K\n28, Private,137898, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n33, Private,153151, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,4416,0,40, United-States, <=50K\n32, Private,134886, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n38, Private,193815, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n33, Private,237833, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,101593, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n27, Private,164924, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,174201, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n47, Local-gov,36169, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n55, Private,144071, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n30, Self-emp-not-inc,180859, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,8, United-States, <=50K\n54, Private,221915, Some-college,10, Widowed, Craft-repair, Unmarried, White, Female,0,0,50, United-States, <=50K\n40, Private,26892, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,351084, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,97306, Bachelors,13, Divorced, Craft-repair, Unmarried, White, Female,0,0,25, United-States, <=50K\n30, Private,185027, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,182539, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n22, Private,215395, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,37, United-States, <=50K\n37, Private,186434, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, >50K\n41, ?,217921, 9th,5, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,40, Hong, <=50K\n52, Local-gov,346668, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n57, Self-emp-inc,412952, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,167009, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,48, United-States, <=50K\n58, Private,316000, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n35, Self-emp-not-inc,216256, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,341835, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n30, Private,169841, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n26, Self-emp-not-inc,200681, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Outlying-US(Guam-USVI-etc), <=50K\n46, Self-emp-not-inc,456956, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n26, Federal-gov,276075, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n50, Federal-gov,96657, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n22, Private,374313, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n36, Private,110998, Masters,14, Widowed, Tech-support, Unmarried, Asian-Pac-Islander, Female,0,0,40, India, <=50K\n30, Private,53285, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K\n58, Private,104613, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n17, ?,303317, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n72, Private,298070, Assoc-voc,11, Separated, Other-service, Unmarried, White, Female,6723,0,25, United-States, <=50K\n19, Private,318822, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,375078, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Mexico, <=50K\n20, ?,232799, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,25, United-States, <=50K\n30, Private,210851, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,213745, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K\n51, Private,204447, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n26, Private,318934, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,237386, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K\n44, Private,182629, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,24, Iran, <=50K\n43, Private,144778, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n35, Private,117166, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n51, Private,237630, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,50, United-States, >50K\n41, Private,171550, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,165302, Some-college,10, Divorced, Adm-clerical, Unmarried, Other, Female,0,0,40, United-States, <=50K\n39, State-gov,42186, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,3464,0,20, United-States, <=50K\n54, Private,284952, 10th,6, Separated, Sales, Unmarried, White, Female,0,0,43, Italy, <=50K\n62, Private,96099, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,198759, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n30, Private,227886, HS-grad,9, Never-married, Exec-managerial, Own-child, Black, Female,0,0,35, Jamaica, <=50K\n32, Private,391874, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Self-emp-not-inc,184370, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n84, Local-gov,135839, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,14, United-States, <=50K\n46, Private,194698, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,60, United-States, <=50K\n67, Local-gov,342175, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Female,2009,0,40, United-States, <=50K\n29, Private,67218, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,205152, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n23, Private,434467, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,42, United-States, <=50K\n63, ?,110150, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,55, United-States, >50K\n55, ?,123382, HS-grad,9, Separated, ?, Not-in-family, Black, Female,0,2001,40, United-States, <=50K\n42, State-gov,404573, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n17, Private,99462, 11th,7, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K\n60, Private,170310, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,199883, 12th,8, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,70034, 7th-8th,4, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, Portugal, <=50K\n31, Private,393357, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,48, United-States, <=50K\n65, ?,249043, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,10605,0,40, United-States, >50K\n31, Private,72630, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,14084,0,50, United-States, >50K\n61, Private,223133, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n43, State-gov,345969, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n40, State-gov,195520, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,49, United-States, <=50K\n39, Private,257942, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,269300, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,27, United-States, <=50K\n47, Private,137354, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n45, Federal-gov,232997, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K\n30, Private,77266, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n30, Self-emp-not-inc,164190, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Private,153536, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,14084,0,44, United-States, >50K\n51, Local-gov,26832, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,188096, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,72, United-States, >50K\n48, Self-emp-inc,369522, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, >50K\n20, Private,110998, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,30, United-States, <=50K\n32, Private,205152, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,40, United-States, >50K\n31, ?,163890, Some-college,10, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n19, Private,358631, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,25, United-States, <=50K\n50, Private,185354, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n33, Private,336061, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n25, ?,47011, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n49, Private,149949, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1876,40, United-States, <=50K\n30, Private,59496, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,32950, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,109912, Doctorate,16, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,32, United-States, >50K\n24, Private,199555, Assoc-voc,11, Never-married, Sales, Unmarried, White, Male,0,0,5, United-States, <=50K\n28, Private,91299, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,45, United-States, <=50K\n56, Private,99359, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,1617,40, United-States, <=50K\n38, Private,242559, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n20, Private,286391, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,2176,0,20, United-States, <=50K\n82, Private,132870, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,4356,18, United-States, <=50K\n52, Federal-gov,22428, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K\n32, Private,239150, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n37, Private,170563, Assoc-voc,11, Separated, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n36, Private,173542, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,286026, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,72887, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, Asian-Pac-Islander, Male,3411,0,40, United-States, <=50K\n49, Local-gov,163229, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, <=50K\n40, Local-gov,165726, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,70055, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,184655, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,139906, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,81, United-States, <=50K\n32, Local-gov,198211, Assoc-voc,11, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,146540, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n53, Local-gov,132304, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,190916, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Never-worked,237272, 10th,6, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n44, Private,755858, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, >50K\n52, Private,127315, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n42, State-gov,304302, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n34, Private,184942, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,267989, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,188377, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, State-gov,221059, Masters,14, Married-civ-spouse, Prof-specialty, Other-relative, Other, Female,7688,0,38, United-States, >50K\n26, Private,340787, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,140782, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,38, United-States, >50K\n57, Private,169071, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,28, United-States, <=50K\n36, Self-emp-not-inc,151094, Assoc-voc,11, Separated, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K\n27, Private,122922, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,151141, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n30, Private,136651, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n37, Private,177285, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,48, United-States, >50K\n31, Local-gov,128016, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,200318, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n32, Private,250354, 10th,6, Never-married, Craft-repair, Other-relative, White, Male,0,0,45, United-States, <=50K\n58, Private,191069, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,27856, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,8, United-States, <=50K\n44, Private,523484, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n39, Federal-gov,257175, Bachelors,13, Divorced, Tech-support, Unmarried, Black, Female,0,625,40, United-States, <=50K\n59, Private,174864, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,45, United-States, >50K\n42, Private,196029, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K\n45, Private,200471, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K\n20, Private,353195, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n35, Private,222868, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,221791, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, <=50K\n56, Private,197114, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,28, United-States, <=50K\n48, Private,160220, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n58, Self-emp-not-inc,274917, Masters,14, Widowed, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K\n32, Private,348460, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,112683, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K\n48, Private,345831, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,105370, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,70, United-States, <=50K\n48, Private,345006, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Mexico, <=50K\n55, Private,195329, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,2202,0,35, Italy, <=50K\n40, Local-gov,108765, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n50, Private,138022, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,175029, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n19, Private,189574, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n55, Self-emp-not-inc,141409, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n36, Self-emp-not-inc,186035, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K\n39, Private,165235, Bachelors,13, Separated, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K\n22, Private,105043, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,230684, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n34, Private,345705, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1408,38, United-States, <=50K\n33, Private,248584, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n55, Private,436861, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,14084,0,40, United-States, >50K\n35, Private,200153, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n50, Private,398625, 11th,7, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,114043, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n29, Private,169544, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Private,343849, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Private,162572, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K\n24, Private,291578, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,136162, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, Self-emp-inc,376133, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,15024,0,15, United-States, >50K\n48, Self-emp-inc,302612, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n65, Local-gov,240166, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n29, Private,193152, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,1408,40, United-States, <=50K\n42, Private,248094, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1740,43, United-States, <=50K\n44, Private,119281, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n73, Self-emp-not-inc,300404, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,6, United-States, >50K\n21, Private,82847, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K\n32, Self-emp-inc,161153, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1902,55, United-States, >50K\n43, Federal-gov,287008, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,35, United-States, >50K\n21, Private,654141, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,32, United-States, <=50K\n30, Private,252646, Some-college,10, Separated, Transport-moving, Not-in-family, White, Male,0,0,20, United-States, <=50K\n54, Private,171924, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, <=50K\n19, Private,219742, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n55, State-gov,153788, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,37, United-States, <=50K\n20, Private,60639, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,28, United-States, <=50K\n53, Private,96062, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Greece, <=50K\n51, Private,165614, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K\n33, Private,159888, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,110586, Some-college,10, Widowed, Priv-house-serv, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Self-emp-not-inc,143062, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n17, Self-emp-inc,413557, 9th,5, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,137658, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n36, Private,398931, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,311764, 10th,6, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, <=50K\n58, Private,98725, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n38, Private,140854, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n72, Private,97304, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male,2346,0,40, ?, <=50K\n26, Federal-gov,352768, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n45, ?,27184, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,38, United-States, <=50K\n72, ?,237229, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n60, Private,142494, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n27, Private,210313, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Guatemala, <=50K\n38, Private,194538, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K\n37, Self-emp-inc,26698, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1485,44, United-States, >50K\n28, Private,211032, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-inc,107909, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,136077, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n19, Private,184737, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,1721,40, United-States, <=50K\n28, Private,214689, Bachelors,13, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,25, United-States, <=50K\n70, ?,147558, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,7, United-States, <=50K\n40, Self-emp-not-inc,93793, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,247025, Assoc-voc,11, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,284403, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, <=50K\n29, Private,221977, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n25, Federal-gov,339956, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Private,161097, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K\n60, Private,223696, 1st-4th,2, Divorced, Craft-repair, Not-in-family, Other, Male,0,0,38, Dominican-Republic, <=50K\n31, Private,234500, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n51, Local-gov,97005, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,242615, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n36, Private,174938, Bachelors,13, Divorced, Tech-support, Unmarried, White, Male,0,0,20, United-States, <=50K\n35, Private,160120, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n48, Private,193775, Bachelors,13, Divorced, Adm-clerical, Own-child, White, Male,0,0,38, United-States, >50K\n78, Self-emp-not-inc,59583, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K\n72, Private,157913, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,17, United-States, <=50K\n24, Private,308205, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n58, ?,158506, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K\n36, Private,201769, 11th,7, Never-married, Protective-serv, Not-in-family, Black, Male,13550,0,40, United-States, >50K\n48, Private,330470, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K\n28, Private,184078, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,123384, Masters,14, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,330132, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n47, Private,274720, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, Jamaica, <=50K\n50, Private,129673, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n35, Federal-gov,205584, 5th-6th,3, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n17, Private,327127, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K\n41, Private,225892, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n37, Private,224886, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,42, United-States, <=50K\n35, Local-gov,27763, HS-grad,9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n56, Private,73684, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K\n23, Private,107452, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,23871, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n79, Self-emp-inc,309272, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,469864, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n55, Private,286230, 11th,7, Divorced, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n59, State-gov,186308, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n22, Private,113062, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,86150, 11th,7, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,19, Philippines, <=50K\n41, Private,262038, 5th-6th,3, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,35, Mexico, <=50K\n32, Private,279231, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Italy, <=50K\n67, ?,188903, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,2414,0,40, United-States, <=50K\n45, Private,183786, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n61, Private,339358, 5th-6th,3, Married-civ-spouse, Farming-fishing, Other-relative, White, Female,0,0,45, Mexico, <=50K\n34, Private,287737, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,99203, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,297449, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,50, United-States, >50K\n35, Private,113481, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n65, Private,204042, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,20, United-States, <=50K\n24, Private,43387, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, England, >50K\n37, Private,99233, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,313729, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n42, Private,99679, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n18, Private,169745, 7th-8th,4, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Federal-gov,19914, Some-college,10, Widowed, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,15, United-States, <=50K\n31, Private,113543, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,224241, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n40, Self-emp-inc,137367, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, China, <=50K\n32, Private,263908, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,280798, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n32, Local-gov,203849, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-inc,62546, Doctorate,16, Separated, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n40, Private,197344, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n36, Private,93225, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n33, Private,187560, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,36, United-States, <=50K\n23, State-gov,61743, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,35, United-States, <=50K\n21, Private,186648, 10th,6, Separated, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,173321, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,32, United-States, <=50K\n53, State-gov,246820, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n20, ?,424034, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K\n53, Self-emp-not-inc,291755, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,72, United-States, <=50K\n58, Private,104945, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,60, United-States, <=50K\n51, Private,85423, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n31, Private,214235, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,65, United-States, <=50K\n35, Self-emp-not-inc,278632, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, ?,27415, 11th,7, Never-married, ?, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n31, Local-gov,143392, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n21, Private,277408, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n39, Self-emp-not-inc,336793, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n36, Private,184112, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,45, United-States, >50K\n51, Private,74660, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,395026, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n32, Private,171215, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K\n56, Private,121362, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K\n35, Private,409200, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n63, Private,268965, 12th,8, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n61, Private,136262, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,141323, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Local-gov,108083, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n19, Private,82210, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n33, State-gov,400943, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n35, Private,308489, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,50, United-States, <=50K\n35, Private,187053, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Female,0,0,60, United-States, >50K\n38, Private,75826, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n23, Private,413345, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n22, Private,356567, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Male,0,0,60, United-States, <=50K\n20, Private,223811, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,159313, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,250170, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K\n59, Private,135617, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,187346, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,108103, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,255476, 5th-6th,3, Never-married, Other-service, Other-relative, White, Male,0,0,40, Mexico, <=50K\n24, Private,68577, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,155961, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,35, Jamaica, <=50K\n22, State-gov,264102, Some-college,10, Never-married, Other-service, Other-relative, Black, Male,0,0,39, Haiti, <=50K\n37, Private,167777, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,52, United-States, <=50K\n36, Private,225399, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n28, Private,199998, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n55, Private,199856, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K\n29, ?,189765, 5th-6th,3, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n32, Private,193042, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n66, ?,222810, Some-college,10, Divorced, ?, Other-relative, White, Female,0,0,35, United-States, <=50K\n47, Local-gov,162595, Some-college,10, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,45, United-States, <=50K\n23, Private,208826, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Local-gov,120190, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n40, Self-emp-not-inc,27242, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K\n51, Private,348099, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,1590,40, United-States, <=50K\n34, Private,185041, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,1669,45, United-States, <=50K\n28, Private,309196, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, State-gov,254285, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,70, Germany, >50K\n39, Self-emp-inc,336226, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,60, United-States, >50K\n43, Private,240698, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,411797, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, >50K\n25, Private,178843, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K\n42, Private,136177, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n35, Private,243409, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Germany, <=50K\n43, Private,258049, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,53, United-States, >50K\n34, Private,164748, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, State-gov,24185, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K\n30, Private,167476, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n44, Private,106900, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K\n52, Private,53497, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,335704, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n36, Private,211022, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n30, Private,163003, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,52, Taiwan, <=50K\n36, Self-emp-inc,77146, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K\n39, Private,67433, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,458549, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,96, Mexico, <=50K\n26, Private,190469, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,195411, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n20, Private,216889, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n70, ?,336007, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n26, Private,167350, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K\n24, Private,241857, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n48, Private,125892, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n62, Private,272209, HS-grad,9, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,99, United-States, <=50K\n48, Private,175221, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,180195, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,38090, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,44, United-States, <=50K\n58, Private,310085, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n40, Federal-gov,118686, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n29, ?,112963, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-inc,120131, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, ?, <=50K\n19, Private,43937, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K\n37, Private,210438, 11th,7, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n23, Private,176724, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n31, Self-emp-not-inc,113364, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n64, Self-emp-not-inc,73986, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n28, Local-gov,197932, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K\n32, Private,193285, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Local-gov,223342, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K\n35, Private,49749, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K\n19, ?,211553, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n45, Private,201865, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n39, Private,322143, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,70, United-States, >50K\n55, Private,158702, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,2339,45, ?, <=50K\n46, Self-emp-not-inc,275625, Bachelors,13, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,60, South, >50K\n19, Private,206599, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K\n29, Private,89813, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Scotland, <=50K\n25, State-gov,156848, HS-grad,9, Married-civ-spouse, Protective-serv, Own-child, White, Male,0,0,35, United-States, <=50K\n37, Private,162494, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,205407, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n28, Private,375313, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n36, Federal-gov,930948, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,6497,0,56, United-States, <=50K\n32, Private,127895, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,35, United-States, <=50K\n34, Private,248754, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,188096, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,36, United-States, <=50K\n20, Private,216811, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Self-emp-inc,113870, Masters,14, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Federal-gov,343052, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n35, Private,280966, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,42044, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K\n32, Private,309513, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,163604, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n52, Private,224198, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K\n50, Private,338283, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,242375, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n25, Private,81286, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n21, Private,243368, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, Mexico, <=50K\n31, Private,217803, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K\n31, Self-emp-not-inc,323020, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K\n41, Private,34278, Assoc-voc,11, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,184579, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, <=50K\n20, ?,210781, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K\n20, Private,142673, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n29, Private,131714, 10th,6, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,25, United-States, <=50K\n51, Local-gov,74784, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Local-gov,181372, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,33, United-States, >50K\n23, ?,62507, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K\n48, Private,155664, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, >50K\n39, Private,174924, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Male,14344,0,40, United-States, >50K\n62, Private,113440, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n22, Private,147227, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n46, Federal-gov,207022, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n51, Local-gov,123011, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,35, United-States, >50K\n20, Private,184678, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K\n40, Self-emp-inc,182437, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n31, Private,98639, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,174201, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Private,123780, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, <=50K\n20, Private,374116, HS-grad,9, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K\n37, Local-gov,212005, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n65, Private,123965, Bachelors,13, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,242619, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n60, Local-gov,138502, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,48, United-States, >50K\n27, Private,113635, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, Ireland, <=50K\n62, Private,664366, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n53, Private,218311, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n38, Private,278557, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n49, Private,314773, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,194861, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,400616, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,208117, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, <=50K\n36, Private,184498, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,117674, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n19, Private,162621, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,14, United-States, <=50K\n23, Private,368739, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n63, Self-emp-not-inc,196994, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K\n63, Self-emp-not-inc,420629, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K\n62, Self-emp-inc,245491, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,99999,0,40, United-States, >50K\n51, Self-emp-not-inc,276456, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,3103,0,30, United-States, >50K\n76, Local-gov,169133, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n50, Private,99307, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,45, United-States, <=50K\n45, Self-emp-inc,120131, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n44, Self-emp-inc,456236, Some-college,10, Divorced, Sales, Own-child, White, Male,0,0,45, United-States, >50K\n51, Private,107123, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n42, Local-gov,125461, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,4650,0,35, United-States, <=50K\n43, Local-gov,36924, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,167065, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,53642, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,154668, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n44, Federal-gov,102238, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n35, Private,54595, 10th,6, Widowed, Other-service, Not-in-family, Black, Female,0,1980,40, United-States, <=50K\n27, Private,152951, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,257042, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n60, Private,74243, Assoc-voc,11, Widowed, Craft-repair, Not-in-family, White, Female,0,0,30, United-States, <=50K\n49, Private,149049, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,14344,0,45, United-States, >50K\n33, Private,117186, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,178322, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n31, State-gov,286911, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K\n54, Private,203635, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,60, United-States, >50K\n57, Self-emp-not-inc,177271, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n30, Private,149427, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K\n45, Private,101656, 10th,6, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n41, Private,274363, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,42, United-States, >50K\n25, Private,241025, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K\n51, Self-emp-inc,338836, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,210534, 5th-6th,3, Separated, Adm-clerical, Other-relative, White, Male,0,0,40, El-Salvador, <=50K\n28, Private,95725, Assoc-voc,11, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K\n47, ?,178013, 10th,6, Married-civ-spouse, ?, Wife, White, Female,0,0,20, Cuba, <=50K\n53, Federal-gov,167410, Bachelors,13, Divorced, Tech-support, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n31, Private,158162, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,13550,0,50, United-States, >50K\n46, Private,241935, 11th,7, Married-civ-spouse, Other-service, Husband, Black, Male,7688,0,40, United-States, >50K\n25, Federal-gov,406955, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n47, Private,341762, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,239303, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, <=50K\n30, Private,38848, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,54744, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,332194, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,154950, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n33, Self-emp-not-inc,196342, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n31, Private,201292, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,339767, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,20, England, >50K\n26, Private,250066, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,318886, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K\n50, Local-gov,124076, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n30, State-gov,242122, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n17, Private,34019, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n35, Local-gov,230754, Masters,14, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n29, Private,213842, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Federal-gov,196386, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,4064,0,40, El-Salvador, <=50K\n32, Self-emp-not-inc,62165, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, ?, <=50K\n34, Private,134737, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, >50K\n32, Private,515629, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Federal-gov,119199, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Private,90222, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,28443, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,159442, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, Ireland, <=50K\n54, Private,315804, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,135840, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n38, Private,81232, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K\n43, Private,118001, 7th-8th,4, Separated, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n25, Private,207875, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n39, Private,164898, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n57, Local-gov,170066, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, United-States, >50K\n47, Private,111994, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,34, United-States, <=50K\n45, Private,166636, HS-grad,9, Divorced, Other-service, Other-relative, Black, Female,0,0,35, United-States, <=50K\n24, State-gov,61737, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,241885, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,234190, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K\n57, Private,230899, 5th-6th,3, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,114158, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,24, United-States, >50K\n28, Private,222442, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,51, Cuba, <=50K\n27, Private,157612, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K\n28, Private,199903, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n74, ?,292627, 1st-4th,2, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,156687, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,42, Japan, <=50K\n27, Private,369522, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,45, United-States, <=50K\n61, Private,226297, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,356017, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,99, United-States, <=50K\n28, Private,189257, 9th,5, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,24, United-States, <=50K\n20, Private,157541, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,69251, Assoc-voc,11, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n38, State-gov,272944, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,113667, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K\n40, Private,222011, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K\n43, Private,191196, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n38, Private,169104, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n19, Private,146679, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Male,0,0,30, United-States, <=50K\n56, Private,226985, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,153066, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n30, ?,159303, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,4, United-States, <=50K\n22, Private,200109, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, White, Female,4508,0,40, United-States, <=50K\n18, State-gov,109445, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n68, Private,99491, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n35, Private,172571, Assoc-voc,11, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n42, Private,143582, 7th-8th,4, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,48, ?, <=50K\n32, Private,207113, 10th,6, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n43, Federal-gov,192712, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n30, Private,154297, 10th,6, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n62, Private,238913, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,2829,0,24, United-States, <=50K\n38, Private,110402, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,207213, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,606111, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, Germany, >50K\n26, Private,34112, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,119156, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K\n19, Private,249787, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K\n20, Private,153516, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n25, State-gov,260754, Bachelors,13, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,155621, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,50, Columbia, <=50K\n36, Private,33983, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,42, United-States, >50K\n23, Private,306601, Bachelors,13, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K\n24, Private,270075, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, United-States, <=50K\n23, Private,109430, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,187115, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n25, Self-emp-not-inc,463667, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,8, United-States, <=50K\n24, Private,52262, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,144064, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,62, United-States, <=50K\n26, Private,147821, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,45, ?, <=50K\n62, ?,232719, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,268620, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,33, United-States, <=50K\n45, Private,81132, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n31, Private,323069, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,0,880,45, United-States, <=50K\n34, Private,242984, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K\n65, Self-emp-inc,172684, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, Mexico, >50K\n42, Private,103932, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, State-gov,431637, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, <=50K\n40, Private,188942, Some-college,10, Married-civ-spouse, Sales, Wife, Black, Female,0,0,40, Puerto-Rico, <=50K\n53, Federal-gov,170354, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,28518, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n30, State-gov,193380, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Male,0,0,35, United-States, <=50K\n59, Private,175942, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n42, Self-emp-not-inc,53956, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,55, United-States, <=50K\n23, Private,120773, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,96219, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, <=50K\n20, Private,104164, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,190429, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n73, ?,243030, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n47, Self-emp-not-inc,228660, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,40, United-States, >50K\n44, Private,368757, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,220563, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,233571, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,37, United-States, >50K\n39, Private,187847, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,50, United-States, <=50K\n49, Private,84298, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n44, Self-emp-not-inc,254303, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K\n27, Private,109611, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,37, Portugal, <=50K\n50, Private,189183, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,206951, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,282882, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n55, Private,377061, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,209906, 1st-4th,2, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,35, Puerto-Rico, <=50K\n53, Local-gov,176059, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n31, Private,279015, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,70, Taiwan, >50K\n21, Private,347292, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,277314, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n74, ?,29887, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,10, United-States, <=50K\n53, Private,341439, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, >50K\n47, Private,209460, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,47, United-States, <=50K\n60, Private,114263, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, Hungary, >50K\n59, Private,230899, 9th,5, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K\n37, Private,271767, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, >50K\n47, Federal-gov,20956, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n49, Private,39986, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n73, Local-gov,45784, Some-college,10, Never-married, Prof-specialty, Other-relative, White, Female,0,0,11, United-States, <=50K\n58, Private,126991, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K\n18, ?,234648, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,15, United-States, <=50K\n35, Private,207676, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n24, State-gov,413345, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, <=50K\n62, Private,122033, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n58, Private,169611, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n51, Private,90363, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,40, United-States, >50K\n21, Private,372636, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K\n30, Private,340917, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,34273, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,1876,36, Canada, <=50K\n25, Private,161027, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,5178,0,40, United-States, >50K\n31, Private,99844, HS-grad,9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,45, United-States, <=50K\n31, Private,207685, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,34, United-States, <=50K\n44, Private,74680, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,50, United-States, >50K\n52, Self-emp-inc,334273, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,65, United-States, >50K\n30, Private,36069, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,100563, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n36, Private,174308, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,109413, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n59, Local-gov,212600, Some-college,10, Separated, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K\n55, Private,271710, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n70, ?,230816, Assoc-voc,11, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n22, Private,103277, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n42, Private,318947, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,187167, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n32, Private,204742, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,282062, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, ?,283510, HS-grad,9, Never-married, ?, Unmarried, Black, Male,0,0,45, United-States, <=50K\n25, Private,280093, 11th,7, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n31, Private,202729, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,205950, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,392286, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n42, Self-emp-not-inc,119207, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K\n49, Private,195554, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K\n30, Private,173005, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,44, United-States, <=50K\n54, Private,192862, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n39, Private,164712, Some-college,10, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, Private,195808, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,199444, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,44, United-States, <=50K\n23, Private,126346, 9th,5, Never-married, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n54, Private,177675, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,42, United-States, <=50K\n23, Private,50341, Masters,14, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n39, Private,237943, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,1726,40, United-States, <=50K\n23, Private,126945, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,25, United-States, <=50K\n67, ?,92061, HS-grad,9, Widowed, ?, Other-relative, White, Female,0,0,8, United-States, <=50K\n19, ?,109938, 11th,7, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,40, Laos, <=50K\n41, Private,267252, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,1902,40, United-States, >50K\n32, Private,174704, 11th,7, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n57, Private,124771, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,200603, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,30, United-States, <=50K\n60, State-gov,165827, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,60, United-States, >50K\n21, Private,301199, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n53, Private,215790, Some-college,10, Widowed, Adm-clerical, Other-relative, White, Female,0,0,22, United-States, <=50K\n38, Private,87556, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K\n21, Private,111467, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,82646, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, >50K\n24, Private,162282, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Federal-gov,239074, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,214925, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,60, United-States, <=50K\n23, Private,194247, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,211531, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n32, Local-gov,223267, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K\n25, Private,201635, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n41, Self-emp-not-inc,188738, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,27, United-States, <=50K\n18, Private,133055, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n57, Private,61761, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,45, United-States, <=50K\n62, Private,103344, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Male,10520,0,50, United-States, >50K\n29, Private,109814, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,225294, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,97277, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K\n52, Private,146711, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,286452, 10th,6, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,20308, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,224203, Some-college,10, Widowed, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n41, Private,225978, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n23, Private,237720, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K\n31, Private,156743, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,76, United-States, >50K\n31, Private,509364, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, Mexico, <=50K\n46, Private,144351, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,375515, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n57, Self-emp-not-inc,103529, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, >50K\n25, Private,199472, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n32, Private,348152, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,221166, 9th,5, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Federal-gov,341762, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K\n17, ?,634226, 10th,6, Never-married, ?, Own-child, White, Female,0,0,17, United-States, <=50K\n43, State-gov,159449, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,110238, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n19, Private,458558, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K\n20, Federal-gov,340217, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Private,155106, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n90, Private,90523, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Male,0,0,99, United-States, <=50K\n25, Private,122756, 11th,7, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n27, Private,293828, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K\n48, Private,299291, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K\n48, Federal-gov,483261, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n27, Private,122038, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n46, Private,160647, Bachelors,13, Widowed, Tech-support, Unmarried, White, Female,0,0,38, United-States, <=50K\n32, Private,106541, 5th-6th,3, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n22, Private,126945, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,188505, Bachelors,13, Married-AF-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n31, Private,377850, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K\n20, Private,193586, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,18, United-States, <=50K\n28, Self-emp-not-inc,315417, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,2176,0,40, United-States, <=50K\n40, Self-emp-inc,57233, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n39, Private,195253, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n54, Local-gov,172991, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n59, Local-gov,223215, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,42, United-States, <=50K\n17, Private,95799, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,18, United-States, <=50K\n25, Self-emp-not-inc,213385, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,80, United-States, <=50K\n49, Local-gov,202467, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-not-inc,145574, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,34095,0,60, United-States, <=50K\n39, Private,147548, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n67, Private,105216, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,16, United-States, <=50K\n28, Private,77760, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n35, Private,167990, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Canada, <=50K\n44, Private,167005, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, >50K\n51, Private,108435, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,47, United-States, >50K\n55, Private,56645, Bachelors,13, Widowed, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n45, Local-gov,304973, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,78, United-States, >50K\n32, Private,42596, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n45, Private,220641, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,101452, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, England, >50K\n35, Private,188888, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K\n55, Local-gov,168790, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K\n59, Private,98361, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,401762, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K\n46, Local-gov,160187, Masters,14, Widowed, Exec-managerial, Unmarried, Black, Female,0,0,35, United-States, <=50K\n23, Private,203715, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,144351, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n34, Private,420749, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, Germany, <=50K\n51, Private,106151, 11th,7, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,362482, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n24, State-gov,38151, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,12, United-States, <=50K\n20, Private,42706, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,72, United-States, <=50K\n44, Private,126199, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,1831,0,50, United-States, <=50K\n26, Private,165510, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,216068, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n23, Private,215624, Some-college,10, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n40, Private,239708, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n49, Local-gov,199378, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,230420, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n28, Private,395022, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Private,338620, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n62, Private,210142, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,446358, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n47, Local-gov,352614, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,293528, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,0,3, United-States, <=50K\n44, State-gov,55395, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, ?,128538, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n46, Private,428405, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,126838, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,136836, Assoc-acdm,12, Divorced, Transport-moving, Unmarried, Black, Female,0,0,30, United-States, <=50K\n48, Private,105838, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,139903, Bachelors,13, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n57, Self-emp-inc,106103, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, >50K\n33, Private,186824, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,350387, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,15, United-States, <=50K\n17, Private,142912, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n63, ?,321403, 9th,5, Separated, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n31, Self-emp-inc,114937, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n34, ?,286689, Masters,14, Never-married, ?, Not-in-family, White, Male,4650,0,30, United-States, <=50K\n35, Private,147258, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,1974,40, United-States, <=50K\n20, Private,451996, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,149833, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n24, Private,211968, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K\n33, Private,287908, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, >50K\n36, Private,166549, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,25216, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,286452, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,3418,0,40, United-States, <=50K\n47, Private,162034, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n30, Private,186932, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,75, United-States, >50K\n34, Private,82938, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,122048, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K\n33, Private,118710, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Private,243226, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n67, Self-emp-not-inc,268514, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,365289, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,165365, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,2885,0,40, Laos, <=50K\n20, Private,219266, HS-grad,9, Married-civ-spouse, Prof-specialty, Own-child, White, Female,0,0,36, ?, <=50K\n24, Private,283757, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,39, United-States, <=50K\n44, Federal-gov,206553, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,113364, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,328949, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n19, Private,83930, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n31, Self-emp-not-inc,325355, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,40, United-States, >50K\n20, Private,131852, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n64, Private,119506, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K\n47, State-gov,100818, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n36, Private,162302, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n48, Private,182211, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K\n19, Self-emp-not-inc,194205, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, Mexico, <=50K\n22, Private,141040, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K\n56, Private,346033, 9th,5, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,177125, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n37, Private,241174, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,99, United-States, >50K\n57, Local-gov,130532, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n38, Private,168496, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,362787, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n22, ?,244771, 11th,7, Separated, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, Federal-gov,48123, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Self-emp-inc,173858, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,1902,40, South, >50K\n32, Private,207201, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n29, Private,37933, 12th,8, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n56, Private,33323, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,175943, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,7298,0,35, United-States, >50K\n66, ?,306178, 10th,6, Divorced, ?, Not-in-family, White, Male,2050,0,40, United-States, <=50K\n71, Local-gov,229110, HS-grad,9, Widowed, Exec-managerial, Other-relative, White, Female,0,0,33, United-States, <=50K\n20, Private,113511, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,333677, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,36, United-States, <=50K\n42, Private,236021, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, >50K\n20, ?,371089, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n61, Private,115023, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n24, State-gov,133586, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n51, Private,91137, 9th,5, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n27, Private,105598, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,352812, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,40, United-States, >50K\n31, Private,204829, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,247733, HS-grad,9, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,16, United-States, <=50K\n36, ?,370585, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,103257, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,178915, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,54260, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,55395, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,233511, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K\n49, Private,318331, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,195985, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,38876, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n67, Self-emp-inc,81413, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,172618, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n36, Private,174717, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n67, Private,224984, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,15831,0,16, Germany, >50K\n61, Private,423297, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n55, Local-gov,88856, 7th-8th,4, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, ?,169104, Assoc-acdm,12, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,16, Philippines, <=50K\n35, Federal-gov,39207, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,340018, 10th,6, Never-married, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K\n20, State-gov,30796, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n51, Private,155403, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n23, Private,238092, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,225605, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,24, United-States, <=50K\n36, Private,289148, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Private,339863, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,178778, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,80, United-States, >50K\n29, Private,568490, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, State-gov,129345, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,447882, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n24, Private,314165, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,20, United-States, <=50K\n39, Federal-gov,382859, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n51, State-gov,82504, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,149700, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,40, United-States, >50K\n62, Private,209844, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n49, Private,62546, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,228686, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,326587, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,202091, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,310774, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,450246, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n20, ?,84375, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,45, United-States, <=50K\n43, Private,142444, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,55, United-States, >50K\n26, Private,82246, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1876,38, United-States, <=50K\n24, Private,192766, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,53109, 11th,7, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0,0,20, United-States, <=50K\n45, Self-emp-inc,121836, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, ?, >50K\n45, Self-emp-not-inc,298130, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K\n26, Private,135645, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,265275, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n54, ?,410114, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n21, Without-pay,232719, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n29, Private,167716, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,99, United-States, <=50K\n68, Private,107627, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, <=50K\n21, Private,129674, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,48, Mexico, <=50K\n28, Self-emp-inc,114053, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K\n46, Private,202560, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n35, Private,219902, HS-grad,9, Separated, Transport-moving, Unmarried, Black, Female,0,0,48, United-States, <=50K\n50, Self-emp-not-inc,192654, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,25, United-States, <=50K\n48, Self-emp-inc,238966, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, ?,112942, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n59, Private,153484, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,50, United-States, >50K\n23, Private,161874, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, United-States, <=50K\n53, Private,260106, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n50, Self-emp-inc,240374, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n32, ?,251612, 5th-6th,3, Never-married, ?, Unmarried, White, Female,0,0,45, Mexico, <=50K\n53, Private,223696, 12th,8, Married-spouse-absent, Handlers-cleaners, Not-in-family, Other, Male,0,0,56, Dominican-Republic, <=50K\n52, Private,176134, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,48, United-States, <=50K\n38, Private,186959, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n43, Private,456236, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n35, Private,98948, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,32, United-States, <=50K\n41, Private,166662, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,448626, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,167482, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, >50K\n45, Private,189792, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,399052, 9th,5, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,42, United-States, <=50K\n40, Private,104196, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n47, Self-emp-not-inc,152752, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n53, Private,268545, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Jamaica, <=50K\n53, Self-emp-inc,148532, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n33, Local-gov,281784, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Male,0,1564,52, United-States, >50K\n24, Private,225724, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n34, Private,200192, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Self-emp-inc,170850, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n29, Federal-gov,224858, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K\n61, State-gov,159908, 11th,7, Widowed, Other-service, Unmarried, White, Female,0,0,32, United-States, >50K\n31, Private,115488, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,1268339, HS-grad,9, Married-spouse-absent, Tech-support, Own-child, Black, Male,0,0,40, United-States, <=50K\n42, Private,195755, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n50, Federal-gov,186272, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,181388, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,177181, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n74, Private,91488, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,20, United-States, <=50K\n40, Private,230961, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n75, Self-emp-not-inc,309955, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2174,50, United-States, >50K\n40, Local-gov,63042, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n36, Private,29814, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n61, ?,116230, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n42, ?,167678, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,22, Ecuador, <=50K\n28, Private,191088, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n19, Private,63814, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,18, United-States, <=50K\n36, Private,285865, Assoc-acdm,12, Separated, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K\n33, ?,160776, Assoc-voc,11, Divorced, ?, Not-in-family, White, Female,0,0,40, France, <=50K\n50, Federal-gov,299831, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,880,40, United-States, <=50K\n47, Private,162741, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, Black, Female,15024,0,40, United-States, >50K\n48, Private,204990, HS-grad,9, Never-married, Tech-support, Unmarried, Black, Female,0,0,33, Jamaica, <=50K\n60, Self-emp-inc,171315, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,296462, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n32, Private,103860, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n45, Local-gov,159816, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,35, United-States, >50K\n51, Private,96586, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,202720, 9th,5, Married-spouse-absent, Machine-op-inspct, Unmarried, Black, Male,0,0,75, Haiti, <=50K\n34, Private,202822, Masters,14, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, ?, <=50K\n48, Self-emp-not-inc,379883, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Mexico, >50K\n68, ?,123464, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K\n32, Private,294121, Assoc-acdm,12, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,50, United-States, <=50K\n63, ?,179981, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,4, United-States, <=50K\n31, Private,234387, HS-grad,9, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,154537, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n32, Private,125856, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n32, Private,156015, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,116632, Bachelors,13, Divorced, Sales, Own-child, White, Male,0,0,80, United-States, <=50K\n50, Private,124963, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, United-States, >50K\n38, Self-emp-not-inc,115215, 10th,6, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,254905, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,195532, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,190067, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,1564,40, United-States, >50K\n63, Private,181828, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, ?, <=50K\n32, Private,203674, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,880,36, United-States, <=50K\n25, Private,322585, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n59, Private,246262, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n22, Local-gov,211129, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, ?, <=50K\n49, Private,139268, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,188540, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, ?,251167, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,30, Mexico, <=50K\n46, Private,94809, Some-college,10, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,30, United-States, <=50K\n37, Local-gov,265038, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n48, Private,182566, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K\n43, Private,220109, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,1672,44, United-States, <=50K\n41, Private,208470, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,28683, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3464,0,40, United-States, <=50K\n36, Private,233571, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,4, United-States, <=50K\n29, Private,24562, Bachelors,13, Divorced, Other-service, Unmarried, Other, Female,0,0,40, United-States, <=50K\n66, Local-gov,36364, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2267,40, United-States, <=50K\n59, Private,168569, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n62, Private,167098, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,271579, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n28, Private,191355, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,31659, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,60, United-States, >50K\n42, State-gov,83411, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n60, Private,40856, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, >50K\n58, Private,115605, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,132326, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,220213, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,172511, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,156745, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n39, Private,218916, Prof-school,15, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n21, Private,306114, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n24, Private,196675, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,70, United-States, <=50K\n59, Self-emp-not-inc,73411, Prof-school,15, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n36, Private,184659, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n72, ?,75890, Some-college,10, Widowed, ?, Unmarried, Asian-Pac-Islander, Female,0,0,4, United-States, <=50K\n35, Private,320451, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,65, Hong, >50K\n33, Private,172498, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,131588, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Female,0,0,45, United-States, <=50K\n40, Private,124520, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Male,0,0,50, United-States, >50K\n26, Self-emp-not-inc,93806, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n37, Federal-gov,173192, Assoc-voc,11, Separated, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n68, Self-emp-not-inc,198554, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Female,0,0,20, United-States, <=50K\n45, Private,26502, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, United-States, >50K\n56, Private,225267, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,150042, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,211319, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n38, Private,208358, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,58115, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,41, United-States, <=50K\n28, Private,219267, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,28, United-States, <=50K\n39, Federal-gov,129573, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n26, Local-gov,27834, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-inc,415037, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, >50K\n52, Private,191529, Bachelors,13, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n84, Private,132806, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,13, United-States, <=50K\n33, Federal-gov,137059, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K\n46, Federal-gov,102308, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n30, Private,164309, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n38, Private,40955, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, England, >50K\n66, Private,141085, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,8, United-States, <=50K\n62, Federal-gov,258124, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Italy, >50K\n31, Private,467579, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1887,40, United-States, >50K\n31, Private,145139, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,231141, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2829,0,40, United-States, <=50K\n60, Self-emp-not-inc,146674, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,50, ?, <=50K\n27, Private,242207, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n37, ?,102541, Assoc-voc,11, Married-civ-spouse, ?, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n38, Private,135416, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,267284, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n48, Private,130812, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,183765, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, ?, <=50K\n45, Local-gov,188823, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,200593, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,124094, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, <=50K\n21, Private,50411, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Local-gov,101689, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,73091, HS-grad,9, Separated, Other-service, Not-in-family, Black, Male,0,1876,50, United-States, <=50K\n21, ?,107801, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,6, United-States, <=50K\n51, Private,176969, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n30, Private,342709, HS-grad,9, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,368561, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,26915, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n57, Private,157974, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,48, United-States, <=50K\n48, Private,109832, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n39, Self-emp-inc,116358, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,7688,0,40, ?, >50K\n68, Self-emp-not-inc,195881, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,2414,0,40, United-States, <=50K\n33, Private,183000, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K\n22, Without-pay,302347, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,4416,0,40, United-States, <=50K\n18, ?,151463, 11th,7, Never-married, ?, Other-relative, White, Male,0,0,7, United-States, <=50K\n28, Private,217200, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Private,31740, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n56, Private,35520, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K\n36, Private,369843, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,199227, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n18, Private,144711, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,1721,40, United-States, <=50K\n39, Private,382802, 10th,6, Widowed, Machine-op-inspct, Not-in-family, Black, Male,0,1590,40, United-States, <=50K\n25, Private,254781, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,70657, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n56, Self-emp-not-inc,50791, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,1876,60, United-States, <=50K\n33, Self-emp-not-inc,222162, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-inc,94606, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,60, United-States, >50K\n44, Self-emp-not-inc,104196, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,84, United-States, <=50K\n30, Self-emp-not-inc,455995, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, >50K\n27, Private,166210, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n25, Private,198986, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K\n30, Self-emp-inc,292465, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,99388, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, El-Salvador, <=50K\n38, Private,698363, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,154940, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,401998, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,20, United-States, <=50K\n62, Private,162825, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-not-inc,271795, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,134671, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,87583, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,14, United-States, <=50K\n50, Private,248619, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,130200, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n45, Private,178922, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n23, Private,51985, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,38, United-States, <=50K\n37, Private,125933, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n38, State-gov,104280, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n27, Private,617860, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n29, Private,122112, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K\n45, Local-gov,181758, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-inc,223671, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1887,55, United-States, >50K\n38, Self-emp-not-inc,140117, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n27, Private,107458, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Federal-gov,215948, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,0,40, ?, <=50K\n44, Federal-gov,306440, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Federal-gov,615893, Masters,14, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, Nicaragua, <=50K\n28, Self-emp-inc,201186, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,99999,0,40, United-States, >50K\n32, Private,37210, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n43, Private,196084, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n45, Local-gov,166181, HS-grad,9, Divorced, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n52, Federal-gov,291096, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,7298,0,40, United-States, >50K\n24, Private,232841, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n19, ?,131982, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,408788, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n53, Self-emp-inc,42924, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Male,14084,0,50, United-States, >50K\n31, Private,181091, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,200246, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Private,282023, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n49, Federal-gov,128990, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,106838, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,144750, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,18, United-States, <=50K\n39, Private,108140, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,103323, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,268022, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K\n58, Private,197114, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,191628, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,2174,0,40, United-States, <=50K\n59, Local-gov,176118, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n24, Private,42401, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,47, United-States, <=50K\n42, Private,322385, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2407,0,40, United-States, <=50K\n53, State-gov,123011, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,210945, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n36, Local-gov,130620, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, China, >50K\n26, Private,248990, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n33, Private,132705, 9th,5, Separated, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K\n29, Private,94892, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,141858, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,81232, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n48, Private,114561, Bachelors,13, Married-spouse-absent, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,36, Philippines, >50K\n45, Local-gov,191776, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,128354, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,37088, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n21, Private,414812, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n63, ?,156799, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K\n39, Private,33983, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,40, United-States, >50K\n52, Self-emp-not-inc,194995, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,55, United-States, >50K\n41, Self-emp-inc,73431, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n48, Private,155664, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,70, United-States, >50K\n27, ?,182386, 11th,7, Divorced, ?, Unmarried, White, Female,0,0,35, United-States, <=50K\n53, State-gov,281074, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,1092,40, United-States, <=50K\n33, Local-gov,248346, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n37, Private,167482, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n18, ?,171088, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Federal-gov,211763, Doctorate,16, Separated, Prof-specialty, Unmarried, Black, Female,0,0,24, United-States, >50K\n20, Private,122166, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,370119, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n36, Self-emp-not-inc,138940, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n41, Private,174575, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,45, United-States, >50K\n67, Private,101132, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,1797,0,40, United-States, <=50K\n38, Private,292307, Bachelors,13, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male,0,0,40, Dominican-Republic, <=50K\n47, Self-emp-not-inc,248776, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,25, United-States, <=50K\n39, Private,314007, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,213226, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,35, ?, <=50K\n36, Private,76845, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K\n24, Private,148320, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,54261, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K\n21, Private,223352, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,1055,0,30, United-States, <=50K\n21, Private,211013, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,50, Mexico, <=50K\n40, Private,209833, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,356272, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n38, Private,143538, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,242960, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n44, Local-gov,263871, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n20, Private,151105, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n44, Private,207685, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,1564,55, England, >50K\n49, Local-gov,46537, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,594,0,10, United-States, <=50K\n45, Self-emp-inc,84324, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,224716, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,186269, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,143731, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,72, United-States, >50K\n39, Private,236391, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n22, Private,54560, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,266325, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,32, United-States, >50K\n32, Federal-gov,42900, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n45, State-gov,183710, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, <=50K\n23, Private,278254, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,45, United-States, <=50K\n35, Private,119992, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n52, Private,284329, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n55, Private,368727, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,353696, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,31387, Bachelors,13, Married-civ-spouse, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,2885,0,25, United-States, <=50K\n27, Private,110931, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,169532, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n21, Private,285522, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,198774, Bachelors,13, Divorced, Sales, Other-relative, White, Female,0,0,35, United-States, <=50K\n32, Private,123291, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n64, Private,146110, Some-college,10, Widowed, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K\n37, Self-emp-not-inc,29814, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K\n61, Private,195595, 7th-8th,4, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n44, Private,92649, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, >50K\n53, Private,290688, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K\n43, Private,427382, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n60, State-gov,234854, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n23, Private,276568, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,250038, Masters,14, Married-civ-spouse, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n29, Private,150861, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,87205, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,55, England, <=50K\n47, Private,343579, 1st-4th,2, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,12, Mexico, <=50K\n20, Private,94401, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,120238, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,40, Poland, >50K\n27, Private,205440, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,198996, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,294253, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,27, United-States, <=50K\n23, Private,256628, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,32, United-States, <=50K\n59, Self-emp-not-inc,223131, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n46, Private,207301, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K\n66, ?,270460, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,125457, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,38, United-States, >50K\n36, Local-gov,212856, 11th,7, Never-married, Other-service, Unmarried, White, Female,0,0,23, United-States, <=50K\n44, Private,197389, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n17, Private,73338, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n27, Private,68037, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n32, Private,185027, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,107123, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n22, Private,109482, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,98, United-States, <=50K\n30, Private,174543, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,208407, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2002,30, United-States, <=50K\n68, Self-emp-not-inc,211584, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,108540, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,202416, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n62, ?,160155, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,6418,0,40, United-States, >50K\n20, Private,176178, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n21, Private,265148, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,38, Jamaica, <=50K\n34, Private,220631, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,50, ?, <=50K\n30, Self-emp-not-inc,303692, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, <=50K\n25, Private,135845, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n23, State-gov,199915, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,21, United-States, <=50K\n40, State-gov,150533, Bachelors,13, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, <=50K\n26, Federal-gov,85482, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,24473, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,272944, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n43, ?,82077, Some-college,10, Divorced, ?, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n49, State-gov,194895, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Private,314153, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,176253, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n59, Private,113959, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n42, State-gov,167581, Bachelors,13, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n37, Private,79586, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Iran, <=50K\n40, Private,166662, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K\n47, Private,72896, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,345730, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n30, Private,302473, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Private,42346, HS-grad,9, Widowed, Exec-managerial, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n21, Private,243921, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,131620, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Own-child, White, Female,0,0,40, Dominican-Republic, <=50K\n47, Private,158924, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K\n22, Self-emp-not-inc,32921, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n35, Private,252897, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,14344,0,40, United-States, >50K\n41, Private,155657, 11th,7, Never-married, Handlers-cleaners, Other-relative, Black, Female,0,0,40, United-States, <=50K\n43, Federal-gov,155106, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,53, United-States, <=50K\n60, Private,82775, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n73, Private,26248, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K\n90, Private,88991, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, England, >50K\n62, Federal-gov,125155, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K\n28, Private,218039, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,53524, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,259352, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n30, Private,296453, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n19, Private,278915, 12th,8, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,52, United-States, <=50K\n23, Private,565313, Some-college,10, Never-married, Other-service, Own-child, Black, Male,2202,0,80, United-States, <=50K\n22, Federal-gov,274103, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K\n19, Private,271118, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,28, United-States, <=50K\n45, Federal-gov,207107, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Male,0,2080,40, Philippines, <=50K\n26, Local-gov,138597, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K\n42, Local-gov,180985, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,99999,0,40, United-States, >50K\n62, Self-emp-not-inc,159939, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n61, Private,110920, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,34862, Bachelors,13, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Male,0,1564,60, United-States, >50K\n22, Local-gov,163205, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,53, United-States, <=50K\n56, Private,110003, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,229051, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n24, ?,144898, Some-college,10, Never-married, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n26, Private,211596, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,48458, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,1669,45, United-States, <=50K\n58, Private,201393, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Male,0,1876,40, United-States, <=50K\n25, Self-emp-not-inc,136450, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n23, Private,193586, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n23, Private,91189, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,227832, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,271936, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n35, Private,61343, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,157778, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, >50K\n23, Private,201680, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,228320, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n72, Private,33404, 10th,6, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n21, Private,103205, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,279029, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,213092, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Private,126104, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Female,0,1980,45, United-States, <=50K\n32, Private,119124, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n65, Private,31924, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K\n22, Private,253799, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, ?, <=50K\n52, Private,266138, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K\n65, Private,185001, 10th,6, Widowed, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n33, Self-emp-not-inc,34102, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n35, Private,115214, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,6497,0,65, United-States, <=50K\n27, Private,289484, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n34, State-gov,287908, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,42, United-States, <=50K\n53, Self-emp-not-inc,158284, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K\n23, Private,60668, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K\n43, State-gov,222978, Doctorate,16, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K\n58, Private,244605, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,3908,0,40, United-States, <=50K\n38, Private,150601, 10th,6, Separated, Adm-clerical, Unmarried, White, Male,0,3770,40, United-States, <=50K\n26, Private,199143, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n60, Private,131681, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,346406, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1672,50, United-States, <=50K\n33, Federal-gov,391122, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n29, Local-gov,280344, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n54, State-gov,188809, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n41, Private,277488, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,36, United-States, <=50K\n63, Self-emp-not-inc,181561, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n31, Private,158545, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,27, United-States, <=50K\n23, Private,313573, Bachelors,13, Never-married, Sales, Own-child, Black, Female,0,0,25, United-States, <=50K\n31, Private,591711, Some-college,10, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male,0,0,40, ?, <=50K\n41, Private,268183, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n51, Private,392286, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n59, Private,233312, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,520231, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n24, Self-emp-not-inc,186831, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,45, United-States, <=50K\n67, Self-emp-not-inc,141085, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n65, ?,198019, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n47, Local-gov,198660, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,409230, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n38, Private,376025, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,80167, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,99357, Masters,14, Divorced, Prof-specialty, Own-child, White, Female,1506,0,40, United-States, <=50K\n24, Private,82847, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,50, Portugal, >50K\n24, Private,22201, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, Thailand, <=50K\n38, Private,275223, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K\n19, Private,117595, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K\n32, Private,207668, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n63, Self-emp-not-inc,179981, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n18, Private,192583, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n36, Private,66304, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n41, Private,200671, Bachelors,13, Divorced, Transport-moving, Own-child, Black, Male,6497,0,40, United-States, <=50K\n57, Private,32365, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,28497, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,222978, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,1504,40, United-States, <=50K\n25, Private,160261, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n48, Private,120724, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n20, Private,91733, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K\n74, Self-emp-not-inc,146929, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n44, Private,205706, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,181666, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n54, Local-gov,279452, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,207568, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, >50K\n38, Private,22494, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,7443,0,40, United-States, <=50K\n18, Private,210026, 10th,6, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n32, Local-gov,190889, Masters,14, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,40, ?, <=50K\n24, Private,109869, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Self-emp-not-inc,285263, 9th,5, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, Mexico, <=50K\n28, Private,192588, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,232945, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, Other, Male,0,0,30, United-States, <=50K\n49, Local-gov,31339, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,305147, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n63, Private,188914, HS-grad,9, Widowed, Machine-op-inspct, Other-relative, Black, Female,0,0,40, Haiti, <=50K\n58, Self-emp-not-inc,141165, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n68, Self-emp-inc,136218, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K\n41, Federal-gov,371382, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n21, ?,199177, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,221366, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,50, United-States, >50K\n24, Private,403671, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,193871, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Private,306183, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,44, United-States, <=50K\n64, ?,159938, HS-grad,9, Divorced, ?, Not-in-family, White, Male,8614,0,40, United-States, >50K\n54, Private,124194, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,69847, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,30, United-States, <=50K\n26, State-gov,169323, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, State-gov,172327, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K\n48, Private,118889, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,2885,0,15, United-States, <=50K\n50, Private,166220, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,3942,0,40, United-States, <=50K\n39, Private,186420, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,192779, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, >50K\n41, Private,105616, Some-college,10, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,48, United-States, <=50K\n24, Private,141113, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,2580,0,40, United-States, <=50K\n57, Private,160275, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,164507, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Columbia, <=50K\n41, Private,207578, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, India, >50K\n55, Private,314592, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n41, ?,254630, Assoc-voc,11, Divorced, ?, Not-in-family, White, Male,0,0,80, United-States, <=50K\n69, Private,159522, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, Black, Female,2964,0,40, United-States, <=50K\n22, Private,112130, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n45, Private,192835, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,3942,0,40, United-States, <=50K\n33, Private,206280, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n57, Private,308861, Some-college,10, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,93206, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,1902,65, United-States, >50K\n40, Private,206066, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n48, Self-emp-not-inc,309895, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Local-gov,216129, Some-college,10, Married-spouse-absent, Exec-managerial, Unmarried, Black, Female,0,0,35, United-States, <=50K\n26, State-gov,287420, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n24, Private,163595, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,170092, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K\n37, Private,287031, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,75, United-States, >50K\n42, Private,59474, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,99151, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n37, Private,206888, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n28, Private,177119, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,80, ?, <=50K\n22, Private,173736, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,182163, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Germany, <=50K\n45, Local-gov,311080, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n29, Self-emp-not-inc,389857, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n23, Private,297152, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,25, United-States, <=50K\n24, Federal-gov,130534, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,137301, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n58, Private,316235, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,32, United-States, <=50K\n28, Self-emp-inc,32922, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n58, Private,118303, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,35, United-States, >50K\n18, Private,188241, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n59, Private,236731, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n39, Private,209397, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n53, Self-emp-inc,290640, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n54, Private,221915, Prof-school,15, Never-married, Prof-specialty, Other-relative, White, Female,0,0,65, United-States, <=50K\n51, Private,175246, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n59, Private,159724, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7298,0,55, United-States, >50K\n42, State-gov,160369, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K\n36, Private,461337, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n37, Private,187311, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n32, Private,29312, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,197365, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n19, Private,301747, HS-grad,9, Separated, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n55, Local-gov,135439, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K\n30, Private,340917, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,155057, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n65, ?,200749, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n44, Private,323627, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,5, United-States, <=50K\n23, ?,154921, 5th-6th,3, Never-married, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Private,131425, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n60, Private,184242, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n28, Private,149769, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K\n44, Private,124924, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Mexico, <=50K\n29, Private,253003, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,16, United-States, <=50K\n57, State-gov,250976, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,104196, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n34, Self-emp-not-inc,250182, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n44, Private,188331, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,42, United-States, <=50K\n44, Private,187322, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,130714, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,22, United-States, <=50K\n37, Private,40955, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n35, Private,107125, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,16, United-States, >50K\n51, Private,145714, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, ?, >50K\n27, Private,133937, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n41, State-gov,293485, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,3103,0,40, United-States, >50K\n28, ?,203260, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,8, United-States, <=50K\n37, Self-emp-not-inc,143368, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n18, Private,51789, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K\n24, State-gov,211049, 7th-8th,4, Never-married, Tech-support, Unmarried, White, Female,0,0,20, United-States, <=50K\n53, Private,81794, 12th,8, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n40, Private,139193, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,1980,48, United-States, <=50K\n54, Private,150999, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,60, United-States, <=50K\n22, Private,332657, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,240043, 10th,6, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,30, United-States, <=50K\n43, Private,186188, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, Iran, <=50K\n58, State-gov,223400, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K\n59, Local-gov,102442, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n31, Private,236599, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n35, Private,283237, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Private,150106, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n45, Private,102076, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n40, Private,374764, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,32528, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n25, Federal-gov,50053, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K\n58, Private,212864, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,30673, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, >50K\n69, ?,248248, 1st-4th,2, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,34, Philippines, <=50K\n23, Private,419554, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,54, United-States, <=50K\n32, State-gov,177216, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,118158, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K\n41, Private,116391, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Germany, <=50K\n74, Private,194312, 9th,5, Widowed, Craft-repair, Not-in-family, White, Male,0,0,10, ?, <=50K\n43, Private,111895, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n18, Private,193290, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,1721,20, United-States, <=50K\n24, Federal-gov,287988, Bachelors,13, Never-married, Armed-Forces, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Private,147653, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,32, United-States, <=50K\n54, Private,117674, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n60, Private,187458, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,410351, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,207578, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n62, ?,55621, Some-college,10, Married-civ-spouse, ?, Husband, Black, Male,0,0,35, United-States, >50K\n27, State-gov,271243, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Male,0,0,40, Jamaica, <=50K\n30, Private,188798, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n63, Local-gov,168656, Bachelors,13, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,35, Outlying-US(Guam-USVI-etc), <=50K\n33, Private,460408, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,3325,0,50, United-States, <=50K\n34, Private,241885, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n20, ?,133061, 9th,5, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,194097, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,219137, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,25, United-States, <=50K\n50, Private,31621, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,207685, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,57052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2885,0,40, United-States, <=50K\n19, Private,109854, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n20, ?,369678, HS-grad,9, Never-married, ?, Not-in-family, Other, Male,0,0,43, United-States, <=50K\n17, Private,53611, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,6, United-States, <=50K\n47, Private,344916, Assoc-acdm,12, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n25, Local-gov,198813, Bachelors,13, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K\n71, Private,180733, Masters,14, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n21, Private,188073, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n69, ?,159077, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,48, United-States, <=50K\n48, Private,174829, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,142791, 7th-8th,4, Widowed, Sales, Other-relative, White, Female,0,1602,3, United-States, <=50K\n58, Self-emp-not-inc,43221, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2415,40, United-States, >50K\n34, Private,188736, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Female,0,0,20, Columbia, <=50K\n33, Local-gov,222654, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,66, ?, <=50K\n56, Private,251836, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K\n40, Federal-gov,112388, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,209641, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K\n42, Private,313945, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Ecuador, <=50K\n19, ?,134974, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Private,152742, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,3325,0,40, United-States, <=50K\n28, Self-emp-inc,153291, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n40, Private,353432, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,35, United-States, <=50K\n23, Private,96635, Some-college,10, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K\n46, ?,202560, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K\n39, Private,150057, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n39, Private,114844, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1876,50, United-States, <=50K\n45, Private,132847, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, ?,41356, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n50, Self-emp-not-inc,93705, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,309350, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,123084, 11th,7, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n55, Private,174662, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,32, United-States, <=50K\n62, Federal-gov,177295, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,211880, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,454915, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,232475, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Self-emp-inc,244605, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n50, Private,150876, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1887,55, United-States, >50K\n51, Private,257337, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n47, Private,329144, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4386,0,45, United-States, >50K\n37, Private,116960, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n58, Private,267663, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Mexico, <=50K\n39, Private,47871, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, >50K\n34, Private,295922, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, England, >50K\n45, Private,175625, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n19, ?,129586, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,190179, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K\n40, Private,168071, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n39, Self-emp-not-inc,202027, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n36, Private,202662, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,101436, HS-grad,9, Divorced, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K\n19, ?,119234, Some-college,10, Never-married, ?, Other-relative, White, Female,0,0,15, United-States, <=50K\n37, Private,360743, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, >50K\n60, Local-gov,93272, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,145574, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n51, Private,101722, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,3908,0,47, United-States, <=50K\n34, Private,135785, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K\n23, ?,218415, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K\n19, Private,127709, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,30, United-States, <=50K\n37, Federal-gov,448337, HS-grad,9, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n58, Private,310320, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,251521, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n39, Private,255503, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n36, Private,116608, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,4865,0,40, United-States, <=50K\n26, Private,71009, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n22, Private,174975, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,36, United-States, <=50K\n32, Private,108023, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Private,204018, 11th,7, Never-married, Sales, Unmarried, White, Male,0,0,15, United-States, <=50K\n57, ?,366563, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n68, Private,121846, 7th-8th,4, Widowed, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K\n70, Private,278139, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3432,0,40, United-States, <=50K\n30, Private,114691, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n19, State-gov,536725, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,15, Japan, <=50K\n51, Private,94432, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,286002, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,30, Nicaragua, <=50K\n47, Private,101684, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,352834, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,55, United-States, >50K\n36, Private,99146, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K\n30, Private,231413, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,158846, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n41, Local-gov,190786, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n25, Private,306513, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n62, Private,152148, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,309580, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, ?,130832, Bachelors,13, Never-married, ?, Unmarried, White, Female,0,0,10, United-States, <=50K\n25, Private,194897, HS-grad,9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Male,6849,0,40, United-States, <=50K\n30, Private,130078, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K\n48, Private,39986, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,379198, HS-grad,9, Never-married, Other-service, Other-relative, Other, Male,0,0,40, Mexico, <=50K\n51, Private,189762, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,15, United-States, >50K\n19, Private,178147, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K\n31, Private,332379, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,175759, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n21, ?,262062, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,275446, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,278522, 11th,7, Never-married, Farming-fishing, Own-child, Black, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,54683, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,1590,40, United-States, <=50K\n57, Private,136107, 9th,5, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n18, Private,205894, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n54, Private,210736, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,166634, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n52, Private,185283, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,180553, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,199058, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, ?, <=50K\n18, Private,145005, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n37, Self-emp-not-inc,184655, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n52, Private,358554, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K\n59, Private,307423, 9th,5, Never-married, Other-service, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n27, Private,472070, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Federal-gov,115562, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,32446, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n44, Self-emp-not-inc,33121, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K\n37, Private,183345, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n28, Private,119793, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,10520,0,50, United-States, >50K\n48, Self-emp-not-inc,97883, HS-grad,9, Separated, Other-service, Other-relative, White, Female,0,0,25, United-States, <=50K\n58, Self-emp-not-inc,31732, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,206250, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n37, Private,103323, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-inc,135436, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n36, Private,376455, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K\n52, Private,160703, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K\n30, Private,131699, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,243842, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,349910, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n61, Private,170262, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,38, United-States, >50K\n33, Private,184306, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,30, United-States, <=50K\n46, Private,224202, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n64, Private,151540, 11th,7, Widowed, Tech-support, Unmarried, White, Female,0,0,16, United-States, <=50K\n28, Private,231197, 10th,6, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,40, Mexico, <=50K\n19, Private,279968, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K\n36, Private,162651, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, Columbia, <=50K\n43, Self-emp-not-inc,130126, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Self-emp-not-inc,160120, Doctorate,16, Divorced, Adm-clerical, Other-relative, Other, Male,0,0,40, ?, <=50K\n56, Private,161662, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n24, Local-gov,201664, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,137142, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n45, Self-emp-inc,122206, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n56, Local-gov,183169, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,126513, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Female,0,0,40, ?, <=50K\n35, Federal-gov,185053, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,408427, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n50, Self-emp-not-inc,198581, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n61, Private,199198, 7th-8th,4, Widowed, Other-service, Not-in-family, Black, Female,0,0,21, United-States, <=50K\n31, Private,184306, Assoc-voc,11, Never-married, Transport-moving, Own-child, White, Male,0,1980,60, United-States, <=50K\n63, Private,172740, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,205153, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,164964, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,162606, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n24, Private,179627, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,103408, Some-college,10, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, Germany, >50K\n27, Private,36440, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,57512, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,48, United-States, <=50K\n27, Private,187981, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,393768, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,108726, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,180551, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n51, Self-emp-not-inc,176240, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,70720, 12th,8, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,35890, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,283676, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n34, Local-gov,105540, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2051,40, United-States, <=50K\n44, Private,408717, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,3674,0,50, United-States, <=50K\n21, Private,57916, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,177974, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,70, United-States, <=50K\n34, ?,177304, 10th,6, Divorced, ?, Not-in-family, White, Male,0,0,40, Columbia, <=50K\n18, Private,115839, 12th,8, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n34, ?,205256, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2885,0,80, United-States, <=50K\n38, Private,117802, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,65, United-States, >50K\n19, Private,211355, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,12, United-States, <=50K\n46, Private,173243, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,343200, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n22, Private,401690, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, Mexico, <=50K\n38, Private,196123, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,168981, Masters,14, Divorced, Exec-managerial, Own-child, White, Female,14084,0,50, United-States, >50K\n83, Self-emp-not-inc,213866, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,8, United-States, <=50K\n34, Private,55176, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,153976, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,119176, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,169117, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,1887,40, United-States, >50K\n38, Private,156550, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,109609, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K\n38, Private,26698, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,236497, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n33, State-gov,306309, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n17, Private,242773, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n28, Private,124680, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,6849,0,60, United-States, <=50K\n52, Local-gov,43909, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n34, Private,112820, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,2463,0,40, United-States, <=50K\n25, Private,148300, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K\n17, Private,133449, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,26, United-States, <=50K\n22, Private,263670, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,80, United-States, <=50K\n22, Private,276494, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n46, Private,190115, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K\n58, Private,317479, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n39, Private,151248, Some-college,10, Divorced, Sales, Other-relative, White, Female,0,0,35, United-States, <=50K\n59, Local-gov,130532, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,40, Poland, <=50K\n61, Private,160062, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,299635, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n50, Private,171225, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n51, Private,33304, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,95634, Bachelors,13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,45, ?, <=50K\n20, Private,243878, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,181721, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K\n44, Federal-gov,201435, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n28, Private,334032, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n50, Private,220019, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n53, Private,71772, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n42, Self-emp-not-inc,27661, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n47, Private,191411, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, India, <=50K\n39, Private,123945, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n38, Self-emp-not-inc,37778, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K\n34, State-gov,171216, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K\n40, Private,93955, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n63, Private,163809, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n53, Private,346754, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n43, Private,188436, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K\n28, Private,72443, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,1669,60, United-States, <=50K\n68, Private,186350, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,10, United-States, >50K\n22, ?,214238, 7th-8th,4, Never-married, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K\n46, State-gov,394860, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, <=50K\n57, Private,262642, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n38, Private,125550, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n66, Private,192504, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,131310, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n54, Private,249322, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n38, Private,172755, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,209993, 11th,7, Separated, Priv-house-serv, Unmarried, White, Female,0,0,8, Mexico, <=50K\n30, Private,166961, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,37, United-States, <=50K\n39, Private,315291, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Private,284703, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n50, Private,166565, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n30, Self-emp-not-inc,173854, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,189219, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Private,210781, Bachelors,13, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, France, <=50K\n59, Local-gov,171328, HS-grad,9, Separated, Protective-serv, Other-relative, Black, Female,0,2339,40, United-States, <=50K\n45, Private,199832, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,15, United-States, <=50K\n64, Private,251292, 5th-6th,3, Separated, Other-service, Other-relative, White, Female,0,0,20, Cuba, <=50K\n61, Private,122246, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n42, Private,190767, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,278736, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n53, Private,124963, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,167476, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,7, United-States, <=50K\n34, Local-gov,246104, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K\n41, Private,171615, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,48, United-States, <=50K\n67, Private,264095, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,9386,0,24, Cuba, >50K\n46, Private,177114, Assoc-acdm,12, Widowed, Prof-specialty, Unmarried, White, Female,0,0,27, United-States, <=50K\n32, Private,146154, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n41, Private,198196, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,79712, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,154785, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n33, Private,182423, HS-grad,9, Divorced, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K\n20, ?,347292, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,32, United-States, <=50K\n34, Private,118584, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,219835, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, ?, <=50K\n17, ?,148769, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n45, Private,197418, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,48, United-States, <=50K\n21, Private,253190, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,192273, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,129573, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, <=50K\n17, Private,173807, 11th,7, Never-married, Craft-repair, Own-child, White, Female,0,0,15, United-States, <=50K\n35, Private,217893, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n38, Private,102938, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Local-gov,407495, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, >50K\n25, Private,50053, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, Japan, <=50K\n57, Private,233382, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, Cuba, <=50K\n32, Private,270968, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n39, Local-gov,272166, Bachelors,13, Separated, Prof-specialty, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n23, Private,199915, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n21, Private,305781, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,45, United-States, <=50K\n47, Private,107682, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K\n25, Private,188507, 7th-8th,4, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, Dominican-Republic, <=50K\n18, ?,28311, 11th,7, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n41, Federal-gov,197069, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Male,4650,0,40, United-States, <=50K\n19, Private,177839, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n24, Private,77665, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K\n57, Private,127728, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n51, ?,172175, Doctorate,16, Never-married, ?, Not-in-family, White, Male,0,2824,40, United-States, >50K\n32, Private,106742, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,192838, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n40, Private,79531, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, >50K\n21, State-gov,337766, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n45, Self-emp-not-inc,33234, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n17, ?,34088, 12th,8, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n55, Private,176904, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n42, Private,172148, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n49, Private,199058, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K\n38, Private,48093, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,143664, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,168337, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K\n43, Private,195212, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, ?, <=50K\n39, Private,230329, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Canada, >50K\n42, Private,376072, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n32, Private,430175, HS-grad,9, Divorced, Craft-repair, Other-relative, Black, Female,0,0,50, United-States, <=50K\n44, Federal-gov,240628, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,2354,0,40, United-States, <=50K\n50, Self-emp-inc,158294, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,80, United-States, >50K\n55, Private,28735, HS-grad,9, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,45, United-States, <=50K\n37, Private,167482, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n59, Private,113203, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Private,103948, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,310525, 12th,8, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,32, United-States, <=50K\n35, Private,105138, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,153489, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n57, State-gov,254949, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,118149, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n18, Private,267965, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n43, Private,50646, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n33, Private,147700, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K\n18, Private,446771, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K\n47, Private,168262, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,117058, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,140957, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, >50K\n35, Private,186126, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, ?, <=50K\n49, Private,268234, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,485117, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,31350, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,60, England, <=50K\n36, State-gov,210830, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K\n29, Private,196420, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n52, Private,172165, 10th,6, Divorced, Other-service, Other-relative, White, Female,0,0,25, United-States, <=50K\n50, Self-emp-not-inc,186565, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n22, Private,119359, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,109684, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,169589, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,125421, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n31, Private,500002, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, Mexico, <=50K\n33, Private,224141, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,113290, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,15, United-States, <=50K\n62, ?,123992, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,58098, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,1974,40, United-States, <=50K\n46, ?,37672, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K\n55, Private,198145, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n49, Federal-gov,35406, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,20, United-States, <=50K\n22, Private,199419, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n43, Private,145441, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K\n58, Private,238438, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, <=50K\n48, State-gov,212954, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n21, Private,56582, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K\n67, Local-gov,176931, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n39, Self-emp-not-inc,188571, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n52, Federal-gov,312500, Assoc-voc,11, Divorced, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,278404, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,114225, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K\n18, Private,184016, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Local-gov,183009, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K\n59, Private,205759, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n23, Private,462294, Assoc-acdm,12, Never-married, Other-service, Own-child, Black, Male,0,0,44, United-States, <=50K\n42, Private,102085, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n54, Self-emp-not-inc,83311, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, >50K\n39, Private,248694, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n57, Local-gov,190747, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,162988, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n31, Self-emp-not-inc,156890, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,310380, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, Black, Female,0,0,45, United-States, <=50K\n35, Private,172186, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,311497, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-inc,443508, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n31, Private,152156, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n46, Private,155890, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n38, State-gov,312528, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,37, United-States, <=50K\n51, Private,282744, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Canada, <=50K\n27, Private,205145, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, ?,119918, Bachelors,13, Never-married, ?, Not-in-family, Black, Male,0,0,45, ?, <=50K\n22, Private,401451, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K\n72, ?,173427, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Cuba, <=50K\n25, Private,189027, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,35551, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n23, Private,42706, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n63, Private,106910, 5th-6th,3, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,19, Philippines, <=50K\n23, Private,53245, 9th,5, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,221672, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n75, Private,71898, Preschool,1, Never-married, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female,0,0,48, Philippines, <=50K\n52, Private,222107, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K\n69, Private,277588, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,10, United-States, <=50K\n52, Private,178983, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n40, Federal-gov,391744, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n34, Private,418020, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n21, State-gov,39236, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,8, United-States, <=50K\n30, Private,86808, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K\n46, Private,147640, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,1902,40, United-States, <=50K\n21, Private,184756, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K\n44, Private,191256, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n51, State-gov,105943, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,3908,0,40, United-States, <=50K\n40, Private,101272, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K\n33, State-gov,175023, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,37, United-States, <=50K\n22, Self-emp-not-inc,357612, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n23, Private,82777, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K\n75, Self-emp-not-inc,218521, Some-college,10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n55, Private,179534, 11th,7, Widowed, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, ?,33339, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n45, Private,148549, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,27828,0,56, United-States, >50K\n31, Private,198069, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K\n49, Private,236586, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n26, Local-gov,167261, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, Private,160942, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,3103,0,50, United-States, <=50K\n44, Private,107584, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,3908,0,50, United-States, <=50K\n28, Local-gov,251854, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n79, ?,163140, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n51, Private,302579, HS-grad,9, Divorced, Other-service, Other-relative, Black, Female,0,0,30, United-States, <=50K\n44, Self-emp-inc,64632, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n24, Private,83141, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-inc,326048, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,83471, HS-grad,9, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K\n23, Private,170070, 12th,8, Never-married, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n25, Private,207875, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n48, Private,119722, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,8, United-States, <=50K\n18, Private,335665, 11th,7, Never-married, Other-service, Other-relative, Black, Female,0,0,24, United-States, <=50K\n25, Private,212522, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n19, Private,42069, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,2176,0,45, United-States, <=50K\n26, ?,131777, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,2002,40, United-States, <=50K\n33, Private,236396, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K\n42, Private,159911, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,133833, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,226947, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,174201, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,49707, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n33, Private,201988, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n62, Self-emp-not-inc,162347, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, >50K\n30, Private,182833, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K\n22, Private,383603, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,70466, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,184846, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,60, United-States, <=50K\n25, Private,176756, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,112512, HS-grad,9, Widowed, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Private,137296, Assoc-acdm,12, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n28, Private,37821, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K\n25, Private,295108, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,25, United-States, <=50K\n40, Private,408717, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,255635, 9th,5, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K\n48, Self-emp-not-inc,177783, 7th-8th,4, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n63, Self-emp-not-inc,179400, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2290,0,20, United-States, <=50K\n31, Private,240283, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n36, Private,410034, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n39, Private,180667, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,196332, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n32, Local-gov,159187, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n46, Private,225065, Preschool,1, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Mexico, <=50K\n19, Private,178147, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n30, Private,272669, Some-college,10, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n35, Private,347491, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, ?,146399, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,55, United-States, <=50K\n33, Private,75167, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n25, Private,133373, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n64, Local-gov,84737, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,35, United-States, >50K\n18, Private,96483, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K\n59, Private,368005, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, State-gov,36032, HS-grad,9, Divorced, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K\n30, Private,174215, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K\n24, Private,228772, 5th-6th,3, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, Mexico, <=50K\n22, Private,242912, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n49, Self-emp-inc,86701, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,56, United-States, >50K\n35, Private,166549, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n48, Local-gov,121622, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,1380,40, United-States, <=50K\n18, Private,201613, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n35, Private,29874, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,168138, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,162404, Bachelors,13, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,60, United-States, <=50K\n21, ?,162160, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K\n26, Private,139116, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,50, United-States, <=50K\n44, Private,192381, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,40, United-States, >50K\n39, Private,370585, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n40, State-gov,151038, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n70, Self-emp-not-inc,36311, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,35, United-States, >50K\n34, Private,271933, Masters,14, Never-married, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n34, Private,182401, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n66, Private,234743, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,182140, HS-grad,9, Separated, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,215591, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n59, Self-emp-not-inc,96459, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, ?,205562, Masters,14, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n47, Private,188081, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n33, State-gov,121245, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n18, Private,127273, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,20, United-States, <=50K\n25, Private,114345, 9th,5, Never-married, Craft-repair, Unmarried, White, Male,914,0,40, United-States, <=50K\n22, Private,341227, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,20, United-States, <=50K\n40, Local-gov,166893, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K\n68, ?,65730, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n30, Private,145231, Assoc-acdm,12, Divorced, Adm-clerical, Own-child, White, Female,0,1762,40, United-States, <=50K\n73, Self-emp-not-inc,102510, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,6418,0,99, United-States, >50K\n45, Self-emp-not-inc,285335, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K\n23, Private,177087, 11th,7, Never-married, Adm-clerical, Unmarried, Black, Male,0,0,35, United-States, <=50K\n40, Private,240504, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n39, Private,218490, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n23, Private,384651, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,189551, HS-grad,9, Divorced, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n53, Private,194791, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n24, Private,194630, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,35, United-States, <=50K\n53, Private,177647, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,51620, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,251421, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,180477, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, <=50K\n40, State-gov,391736, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, State-gov,170091, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,6, United-States, <=50K\n36, Private,175360, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,13550,0,50, United-States, >50K\n35, Private,276153, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,4650,0,40, United-States, <=50K\n53, Federal-gov,105788, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,50, United-States, >50K\n42, Local-gov,248476, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, >50K\n32, Private,168443, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n33, Private,120201, HS-grad,9, Divorced, Adm-clerical, Own-child, Other, Female,0,0,65, United-States, <=50K\n59, Private,114678, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,60, United-States, <=50K\n36, Private,167440, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, <=50K\n37, Self-emp-not-inc,265266, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Cuba, >50K\n31, Private,212235, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n46, Private,44671, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n44, State-gov,87282, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,38, United-States, <=50K\n27, Private,112754, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,60, United-States, >50K\n29, Self-emp-not-inc,322238, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,65382, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,115176, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K\n48, Self-emp-not-inc,162236, Masters,14, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, ?, >50K\n42, Private,409902, HS-grad,9, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,25, United-States, <=50K\n60, Local-gov,204062, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K\n35, Private,283305, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,435638, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-inc,114733, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,36, United-States, <=50K\n22, Private,162343, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,22, United-States, <=50K\n18, ?,195981, HS-grad,9, Widowed, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,79531, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n44, State-gov,395078, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Local-gov,159641, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,625,40, United-States, <=50K\n21, Private,159567, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K\n49, Private,133917, Assoc-voc,11, Never-married, Sales, Other-relative, Black, Male,0,0,40, ?, <=50K\n52, Private,196894, 11th,7, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,132879, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n23, Private,190290, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Private,102828, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,49, United-States, <=50K\n31, Private,128493, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n30, State-gov,290677, Masters,14, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n21, Private,283757, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,169104, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n51, Private,171409, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n34, Self-emp-not-inc,319165, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,203182, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K\n20, ?,211968, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,45, United-States, <=50K\n26, Private,215384, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1974,55, United-States, <=50K\n26, Private,166666, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n41, Private,156566, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,140564, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n27, Local-gov,322208, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n65, Private,420277, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,123430, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, Mexico, <=50K\n45, Self-emp-inc,151584, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n37, Self-emp-not-inc,348960, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n47, Private,168232, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,45, United-States, >50K\n47, Self-emp-inc,201699, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,511517, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,118001, 10th,6, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n38, Private,193961, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n21, Private,32732, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,223548, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K\n33, Private,389932, HS-grad,9, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,55, United-States, <=50K\n29, Private,102345, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,52, United-States, <=50K\n41, Private,107584, Some-college,10, Separated, Transport-moving, Not-in-family, White, Male,0,0,35, United-States, <=50K\n20, ?,34321, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n20, State-gov,39478, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,54, United-States, <=50K\n34, Self-emp-not-inc,276221, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n78, Self-emp-inc,385242, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,45, United-States, >50K\n46, Private,235646, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,123306, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n59, Private,38573, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,216889, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,386705, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,24, United-States, <=50K\n47, Self-emp-not-inc,249585, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n31, Local-gov,47276, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,38, United-States, >50K\n42, Self-emp-not-inc,162758, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,56, United-States, >50K\n46, Local-gov,146497, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,190765, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,44, United-States, <=50K\n21, Private,186314, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,213615, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,162322, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n44, State-gov,115932, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,392694, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n38, State-gov,143517, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-inc,123429, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Italy, >50K\n53, Private,254285, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,238311, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,36, United-States, >50K\n49, Private,281647, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n30, Private,75167, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,252862, Assoc-voc,11, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,199240, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,20, England, <=50K\n43, Private,145762, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n29, Local-gov,142443, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n49, Private,99361, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n36, Private,105138, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n26, Private,183171, 11th,7, Never-married, Other-service, Own-child, Black, Male,1055,0,32, United-States, <=50K\n18, Private,151866, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n60, Private,297261, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n43, Private,148998, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,143046, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Private,183850, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n55, Self-emp-not-inc,248841, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K\n31, Private,198452, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,161092, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,112497, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n51, Self-emp-not-inc,155963, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n28, Private,147560, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,55, United-States, >50K\n24, Private,376393, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, State-gov,151790, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n21, Private,438139, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n20, ?,163911, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,214896, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n30, Private,102821, Some-college,10, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n44, Self-emp-not-inc,90021, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n45, Private,77085, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, >50K\n42, Private,158555, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n36, ?,28160, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,462255, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,144949, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,116207, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K\n17, Private,187308, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n45, Local-gov,189890, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,185267, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,63434, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,35, United-States, <=50K\n45, Private,1366120, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,8, United-States, <=50K\n41, Self-emp-inc,495061, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,70, United-States, >50K\n34, Local-gov,134886, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,1740,35, United-States, <=50K\n33, Private,129707, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, >50K\n17, ?,181337, 10th,6, Never-married, ?, Own-child, Other, Female,0,0,20, United-States, <=50K\n51, Private,74784, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n33, Private,44392, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n23, Private,406641, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Female,0,0,18, United-States, <=50K\n52, Private,89041, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, >50K\n36, ?,139770, Some-college,10, Divorced, ?, Own-child, White, Female,0,0,32, United-States, <=50K\n25, Private,180212, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, ?,338212, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K\n64, Self-emp-not-inc,178472, 9th,5, Separated, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n42, Private,384236, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n29, Private,168470, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Local-gov,80485, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K\n38, ?,181705, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K\n24, Private,216867, 10th,6, Never-married, Other-service, Other-relative, White, Male,0,0,30, Mexico, <=50K\n43, Federal-gov,214541, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,383239, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K\n28, Private,70034, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n18, ?,266287, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n44, Private,128485, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n81, ?,89015, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,18, United-States, <=50K\n55, Private,106740, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,167527, 11th,7, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Private,19302, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,210150, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,179824, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,36, United-States, <=50K\n27, Private,420351, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n23, State-gov,215443, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,15, United-States, <=50K\n26, Private,116044, 11th,7, Separated, Craft-repair, Other-relative, White, Male,2907,0,50, United-States, <=50K\n33, Private,215306, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Cuba, <=50K\n39, Private,108069, Some-college,10, Never-married, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,260046, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,31053, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, Private,362302, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n54, Private,87205, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K\n45, Private,191703, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n43, Private,242968, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K\n23, Local-gov,185575, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Private,177858, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,2174,0,40, United-States, <=50K\n33, Self-emp-not-inc,73585, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n45, Private,301802, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n32, Self-emp-inc,108467, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K\n47, Private,431245, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,157217, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,204935, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Private,277112, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n64, Self-emp-inc,59145, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K\n30, Local-gov,159773, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K\n51, Private,118793, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K\n26, State-gov,152457, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,187901, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,1504,40, United-States, <=50K\n50, Private,266529, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,256179, Some-college,10, Never-married, ?, Own-child, White, Male,594,0,10, United-States, <=50K\n63, Private,113756, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n48, Private,83444, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K\n37, Self-emp-inc,30529, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,50, United-States, >50K\n51, ?,146325, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,28, United-States, <=50K\n29, Private,198825, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n69, Private,71489, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K\n56, Private,111218, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n26, ?,221626, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n39, Local-gov,203482, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n42, Self-emp-not-inc,352196, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,22, United-States, <=50K\n41, Federal-gov,355918, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,168262, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K\n23, Private,182615, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,211482, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n34, Private,386370, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n31, ?,85077, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,1902,20, United-States, >50K\n46, Local-gov,180010, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n46, Without-pay,142210, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,25, United-States, <=50K\n33, Private,415706, 5th-6th,3, Separated, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n46, Private,237731, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,343506, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n49, Local-gov,116163, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, France, <=50K\n66, ?,206560, HS-grad,9, Widowed, ?, Not-in-family, Other, Female,0,0,35, Puerto-Rico, <=50K\n55, State-gov,153451, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,1887,40, United-States, >50K\n35, Private,301862, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,33429, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,169583, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Private,146497, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,16, Germany, <=50K\n48, Self-emp-not-inc,383384, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,240809, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,56, United-States, <=50K\n38, Private,203763, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,218785, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n23, ?,381741, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,1721,20, United-States, <=50K\n17, Private,244602, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n44, State-gov,175696, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,101027, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n37, Private,99270, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Female,0,0,40, United-States, <=50K\n49, Private,224393, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n42, Private,192381, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,131686, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n73, ?,84390, Assoc-voc,11, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,32, United-States, <=50K\n44, Private,277533, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,72880, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, ?,149646, Some-college,10, Divorced, ?, Own-child, White, Female,0,0,20, ?, <=50K\n49, Private,209057, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Private,108909, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n42, Private,74949, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,235639, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, State-gov,137421, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,37, Hong, <=50K\n53, Private,122412, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,434894, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n35, Private,379959, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,95885, 11th,7, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,13550,0,60, United-States, >50K\n39, Private,225330, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,50, Poland, >50K\n40, Private,32627, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n28, Private,65171, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,193380, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,184823, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,81259, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K\n35, Private,301369, 12th,8, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n21, Private,190968, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n71, Private,196610, 7th-8th,4, Widowed, Exec-managerial, Not-in-family, White, Male,6097,0,40, United-States, >50K\n31, Private,330715, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Local-gov,77698, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n35, Private,139770, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,6849,0,40, United-States, <=50K\n24, Private,109053, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K\n69, Private,312653, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K\n35, Self-emp-not-inc,193260, Masters,14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K\n35, Private,331831, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,54202, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,10520,0,50, United-States, >50K\n51, Private,163948, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,36228, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,44, United-States, <=50K\n49, Private,160167, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,178356, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,2407,0,99, United-States, <=50K\n43, Private,104196, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,288353, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,187693, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,114988, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Local-gov,117392, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,121124, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,195638, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,245053, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Male,0,1504,40, United-States, <=50K\n49, State-gov,216734, Prof-school,15, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, ?,197827, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,49156, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,126133, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Private,304463, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K\n34, Private,214288, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,274969, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,0,0,42, United-States, <=50K\n23, Private,189072, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Female,0,0,45, United-States, <=50K\n46, Private,128047, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K\n20, Private,210338, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n63, Private,122442, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,167081, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,3103,0,50, United-States, <=50K\n33, Private,251421, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n24, Federal-gov,219519, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n36, Private,33355, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,45, United-States, <=50K\n25, Private,441210, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Local-gov,178356, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,231196, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n58, State-gov,40925, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,270587, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, England, <=50K\n40, Private,219266, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n27, Private,114967, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,344492, HS-grad,9, Separated, Sales, Own-child, White, Female,0,0,26, United-States, <=50K\n22, Private,369387, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n80, Self-emp-not-inc,101771, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K\n52, Private,137428, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n40, Federal-gov,121012, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,48, United-States, >50K\n48, Private,139290, 10th,6, Separated, Machine-op-inspct, Own-child, White, Female,0,0,48, United-States, <=50K\n62, Private,199193, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, United-States, <=50K\n32, Private,286689, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,42, United-States, >50K\n21, ?,123727, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,28, United-States, <=50K\n58, Federal-gov,208640, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Self-emp-not-inc,120130, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n29, Self-emp-inc,241431, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n25, Private,120450, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,152240, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,200960, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n30, Federal-gov,314310, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n30, Local-gov,44566, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, <=50K\n59, Private,21792, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K\n36, Private,182074, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,221850, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Ecuador, >50K\n42, Private,240628, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n34, Private,318641, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, >50K\n27, Self-emp-not-inc,140863, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,129150, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n41, Private,143003, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,7298,0,60, India, >50K\n34, Self-emp-not-inc,198664, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,15024,0,70, South, >50K\n41, Private,244945, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,138514, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n18, Private,92008, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Female,0,0,28, United-States, <=50K\n23, Private,207415, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,15, United-States, <=50K\n26, Private,188626, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n38, Private,257250, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,60, United-States, >50K\n27, Private,133696, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,88, United-States, <=50K\n21, Private,195919, 10th,6, Never-married, Handlers-cleaners, Not-in-family, Other, Male,0,0,40, Dominican-Republic, <=50K\n41, Private,119266, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,140474, Assoc-acdm,12, Divorced, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0,0,35, United-States, <=50K\n25, Private,69739, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,293176, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,217961, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n40, Local-gov,163725, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n23, Private,419394, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,9, United-States, <=50K\n18, Private,220836, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n37, Private,334291, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n58, Private,298601, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,3781,0,40, United-States, <=50K\n36, Private,200360, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,203482, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,99126, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, United-States, >50K\n62, Private,109190, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n34, Private,34848, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,4064,0,40, United-States, <=50K\n27, Private,29732, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,4865,0,36, United-States, <=50K\n23, Private,87867, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n55, Private,123515, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,175935, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,229456, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,38, United-States, <=50K\n44, Private,184105, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,4386,0,40, United-States, >50K\n42, Local-gov,99554, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,190227, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n25, Private,29020, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,45, United-States, <=50K\n31, Private,306459, 1st-4th,2, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,35, Honduras, <=50K\n42, Private,193995, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K\n26, Private,105059, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n62, Private,71751, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,98, United-States, >50K\n28, Private,176683, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,50, United-States, >50K\n34, Private,342709, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,53838, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n45, Local-gov,209482, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n44, Private,214242, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n47, ?,34458, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K\n35, Private,100375, Some-college,10, Married-spouse-absent, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,149949, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,189762, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,56, United-States, <=50K\n46, Private,79874, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,53, United-States, >50K\n66, Self-emp-not-inc,104576, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,8, United-States, >50K\n34, State-gov,355700, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n26, Private,213625, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,204984, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,144593, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, ?, <=50K\n23, Private,217169, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Private,184883, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n44, ?,136419, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,57758, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, >50K\n54, Self-emp-not-inc,30908, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n71, Private,217971, 9th,5, Widowed, Sales, Unmarried, White, Female,0,0,13, United-States, <=50K\n51, Private,160703, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n32, Private,142675, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n75, ?,248833, HS-grad,9, Married-AF-spouse, ?, Wife, White, Female,2653,0,14, United-States, <=50K\n57, Private,171242, 11th,7, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Canada, <=50K\n34, Private,376979, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,175935, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,14084,0,40, United-States, >50K\n21, Private,277530, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,104501, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,94041, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, Ireland, <=50K\n37, Local-gov,593246, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n19, Private,121074, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,99, United-States, <=50K\n64, Private,192596, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n17, Private,142457, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n37, Private,136028, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,216145, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,4650,0,45, United-States, <=50K\n20, Private,157894, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n39, Self-emp-not-inc,164593, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,4787,0,40, United-States, >50K\n18, Private,252993, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Columbia, <=50K\n42, Private,145711, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K\n43, Private,358199, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,3103,0,40, United-States, >50K\n42, Private,219591, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, >50K\n53, Local-gov,205005, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, >50K\n52, Private,221936, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,120914, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n77, Self-emp-inc,155761, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,8, United-States, <=50K\n25, Private,195914, Some-college,10, Never-married, Sales, Own-child, Black, Female,3418,0,30, United-States, <=50K\n38, Local-gov,236687, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,318036, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,53306, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n27, Private,174645, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,321817, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Private,206948, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n47, Federal-gov,402975, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K\n72, ?,289930, Bachelors,13, Separated, ?, Not-in-family, White, Female,991,0,7, United-States, <=50K\n42, Private,367049, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,4650,0,40, United-States, <=50K\n36, Private,143486, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n42, Self-emp-inc,27187, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n24, Private,187717, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,378104, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,113870, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K\n42, Private,252518, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n24, Private,326334, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n41, Private,279914, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n29, Private,320451, HS-grad,9, Never-married, Protective-serv, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n36, Private,207853, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n78, Self-emp-inc,237294, HS-grad,9, Widowed, Sales, Not-in-family, White, Male,0,0,45, United-States, >50K\n43, Private,112181, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,1902,32, United-States, >50K\n34, State-gov,259705, Some-college,10, Separated, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n20, ?,117789, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Private,449432, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Federal-gov,89083, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,59612, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n21, Private,129980, 9th,5, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,108233, Assoc-acdm,12, Separated, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n30, Private,342709, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,126675, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,141118, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, ?,273701, Some-college,10, Never-married, ?, Other-relative, Black, Male,34095,0,10, United-States, <=50K\n46, Private,173243, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Local-gov,161092, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,209691, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, >50K\n36, Private,89508, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Private,399522, 11th,7, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, State-gov,136939, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n56, Local-gov,264436, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Private,199572, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n61, Federal-gov,28291, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n50, Private,215990, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n56, Self-emp-not-inc,179594, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n61, Self-emp-inc,139391, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,35, United-States, >50K\n45, Private,187370, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,7430,0,70, United-States, >50K\n31, Private,473133, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K\n60, Self-emp-not-inc,205246, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,2559,50, United-States, >50K\n26, Private,182308, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,51662, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n45, Private,289468, 11th,7, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,201954, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, >50K\n45, Self-emp-not-inc,26781, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n58, Private,100960, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,203761, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,2354,0,40, United-States, <=50K\n23, Private,213811, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n49, Private,124672, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,219300, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n22, Private,270436, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,212619, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,193586, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,3908,0,40, United-States, <=50K\n40, Private,84136, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K\n55, Federal-gov,264834, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, State-gov,98995, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,278254, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Private,167987, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Federal-gov,72887, Bachelors,13, Married-spouse-absent, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n17, Private,176467, 9th,5, Never-married, Transport-moving, Not-in-family, White, Male,0,0,20, United-States, <=50K\n51, Self-emp-not-inc,85902, 10th,6, Widowed, Transport-moving, Other-relative, White, Female,0,0,40, United-States, <=50K\n37, Private,223433, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n54, Self-emp-inc,108435, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,172496, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n35, Private,241998, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,245948, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,2174,0,40, United-States, <=50K\n23, Private,187513, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,440138, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,45, England, <=50K\n24, Private,218215, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n50, Private,158948, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,40, United-States, <=50K\n34, Private,94413, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,183598, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,192664, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,392812, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n21, Private,155818, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n32, Private,195000, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,308205, 5th-6th,3, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, Mexico, <=50K\n53, Private,104879, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,152307, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,145964, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,97419, HS-grad,9, Married-civ-spouse, Protective-serv, Wife, Black, Female,0,0,40, United-States, <=50K\n25, ?,12285, Some-college,10, Never-married, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K\n30, Private,263150, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,20, United-States, <=50K\n49, ?,189885, HS-grad,9, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n23, Private,151888, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,254167, 10th,6, Separated, Transport-moving, Own-child, White, Male,0,0,35, United-States, <=50K\n45, Local-gov,331482, Assoc-acdm,12, Divorced, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n61, Local-gov,177189, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, <=50K\n35, Private,186886, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K\n20, Private,33221, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n27, Private,188171, 10th,6, Never-married, Adm-clerical, Own-child, White, Male,0,0,60, United-States, <=50K\n23, Private,209770, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,164488, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K\n65, Local-gov,180869, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n25, Private,190350, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Private,137192, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,1977,50, South, >50K\n45, Private,204057, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, Germany, <=50K\n46, Private,198774, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,323,45, United-States, <=50K\n67, Private,134906, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K\n40, Private,174515, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Private,259363, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n44, Self-emp-not-inc,201742, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,50, United-States, >50K\n35, Private,209609, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n28, Private,185127, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,462838, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,48, United-States, <=50K\n37, Private,176967, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n54, Private,284129, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n33, Federal-gov,37546, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n46, Private,116666, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,120724, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,40, United-States, <=50K\n27, Private,314240, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n49, Private,423222, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n51, Private,201127, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n27, Private,202239, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,209629, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,165922, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n24, Private,133520, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n66, ?,99888, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,176410, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K\n35, Federal-gov,103214, Doctorate,16, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0,0,60, United-States, >50K\n34, Private,122612, Bachelors,13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,7688,0,50, Philippines, >50K\n50, Private,226735, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,70, United-States, >50K\n43, Self-emp-inc,151089, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n21, Private,244312, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,30, El-Salvador, <=50K\n33, Private,209317, 9th,5, Never-married, Other-service, Not-in-family, White, Male,0,0,45, El-Salvador, <=50K\n48, Private,99096, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,1590,38, United-States, <=50K\n22, Private,374116, HS-grad,9, Never-married, Priv-house-serv, Own-child, White, Female,0,0,36, United-States, <=50K\n29, Private,205249, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K\n42, Self-emp-not-inc,326083, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,183523, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Hungary, <=50K\n36, Private,350783, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K\n66, Local-gov,140849, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n44, Private,175943, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, <=50K\n45, Local-gov,125933, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Private,225124, HS-grad,9, Divorced, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n36, Private,272090, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, El-Salvador, <=50K\n48, Private,40666, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K\n19, Private,35245, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,167482, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,204662, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n32, Private,291147, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n49, Private,179869, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n51, Self-emp-not-inc,205100, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n20, Private,352139, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,29, United-States, <=50K\n39, Private,111268, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,247111, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,271446, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n29, Local-gov,132412, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-inc,74712, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n22, Private,94662, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K\n44, Self-emp-inc,33126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K\n43, Private,133584, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,103759, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3942,0,40, United-States, <=50K\n63, ?,64448, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,374367, Assoc-voc,11, Separated, Sales, Not-in-family, Black, Male,0,0,44, United-States, <=50K\n40, Private,179666, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, Canada, <=50K\n18, Private,99219, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n57, Self-emp-inc,180211, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, Taiwan, >50K\n54, Local-gov,219276, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n44, Private,150011, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,231231, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n40, Private,182217, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Scotland, <=50K\n29, Private,277342, Some-college,10, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n22, Private,140001, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,99651, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K\n45, Private,223319, Some-college,10, Divorced, Sales, Own-child, White, Male,0,0,45, United-States, <=50K\n52, Private,235307, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,206343, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,2174,0,40, Cuba, <=50K\n51, Local-gov,156003, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,529223, Bachelors,13, Never-married, Sales, Own-child, Black, Male,0,0,10, United-States, <=50K\n22, Private,202871, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,44, United-States, <=50K\n37, Private,58337, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n58, Federal-gov,298643, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n61, Private,191188, 10th,6, Widowed, Farming-fishing, Unmarried, White, Male,0,0,20, United-States, <=50K\n30, Private,96287, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n23, Private,104443, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Private,323054, 10th,6, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n18, Private,95917, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, Canada, <=50K\n34, Private,238305, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,1628,12, ?, <=50K\n23, Private,49296, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K\n23, Private,50953, Some-college,10, Never-married, Priv-house-serv, Own-child, White, Female,0,0,10, United-States, <=50K\n57, Private,124507, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n58, Private,239523, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n59, Self-emp-not-inc,309124, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,240172, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,105010, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, >50K\n44, Local-gov,135056, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,16, ?, <=50K\n25, Private,178478, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n33, Private,23871, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n22, Private,362309, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n21, Private,257781, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,1719,30, United-States, <=50K\n44, Private,175669, 11th,7, Married-civ-spouse, Prof-specialty, Wife, White, Female,5178,0,36, United-States, >50K\n50, Private,297906, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K\n44, Private,230684, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n53, ?,123011, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,170866, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n54, Local-gov,182543, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K\n60, Self-emp-not-inc,236470, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,33725, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n27, Private,188941, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,3908,0,40, United-States, <=50K\n43, Private,206878, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,60, United-States, <=50K\n33, Local-gov,173806, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,190709, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n41, Private,149102, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, Poland, <=50K\n21, Private,25265, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,100669, Some-college,10, Married-civ-spouse, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n27, Self-emp-inc,114158, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,228057, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,54012, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Federal-gov,219967, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,239865, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n35, State-gov,119421, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, >50K\n56, Self-emp-not-inc,220187, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, >50K\n41, Local-gov,33068, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,1974,40, United-States, <=50K\n41, Self-emp-not-inc,277783, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,2001,50, United-States, <=50K\n42, Private,175515, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, Local-gov,271795, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,70055, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,352806, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n57, Private,266189, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,42, United-States, <=50K\n49, Private,102945, 7th-8th,4, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,173851, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,144092, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,198681, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K\n33, Private,351810, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Mexico, <=50K\n52, Private,180142, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K\n37, Self-emp-inc,175360, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n30, Self-emp-inc,224498, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Self-emp-inc,154641, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,60, United-States, <=50K\n54, Local-gov,152540, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,42, United-States, <=50K\n52, Private,217663, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n22, Local-gov,138575, HS-grad,9, Never-married, Protective-serv, Unmarried, White, Male,0,0,56, United-States, <=50K\n19, ?,32477, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n65, Private,101104, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,9386,0,10, United-States, >50K\n32, Private,44677, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,456618, 7th-8th,4, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, El-Salvador, <=50K\n34, Private,227282, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,27624, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,55, United-States, <=50K\n24, Private,281403, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,98, United-States, <=50K\n63, Federal-gov,39181, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Female,0,2559,60, United-States, >50K\n48, Private,377140, 5th-6th,3, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,35, Nicaragua, <=50K\n26, Private,299810, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n28, Private,181916, Some-college,10, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,237044, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,12, United-States, <=50K\n57, Self-emp-inc,123053, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024,0,50, India, >50K\n64, State-gov,269512, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,44767, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,50, United-States, >50K\n28, Private,67218, 7th-8th,4, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n34, Private,176992, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,43712, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,45, United-States, >50K\n44, Private,379919, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n34, Private,104509, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,1639,0,20, United-States, <=50K\n18, Private,212370, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K\n36, Private,179666, 12th,8, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K\n73, Self-emp-not-inc,233882, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,2457,40, Vietnam, <=50K\n24, Private,197387, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Mexico, <=50K\n29, Local-gov,220656, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n33, Private,181091, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n57, Federal-gov,135028, HS-grad,9, Separated, Adm-clerical, Other-relative, Black, Female,0,0,35, United-States, <=50K\n41, Private,185057, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, ?, <=50K\n55, Private,106498, 10th,6, Widowed, Transport-moving, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n21, Private,203003, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,223789, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n26, Private,184026, Some-college,10, Never-married, Prof-specialty, Not-in-family, Other, Male,0,0,50, United-States, <=50K\n32, ?,335427, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, >50K\n40, Private,65866, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,213,40, United-States, <=50K\n32, Private,372692, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,45607, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n59, State-gov,303176, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2179,40, United-States, <=50K\n29, Private,138190, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,1138,40, United-States, <=50K\n29, Self-emp-not-inc,212895, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K\n59, Self-emp-inc,31359, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,80, United-States, >50K\n58, Private,147989, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,145290, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n44, Private,262684, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,1504,45, United-States, <=50K\n31, Private,132601, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,30759, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n19, Private,319889, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n66, Private,29431, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,111483, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n22, Private,184756, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n31, Private,651396, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,1594,30, United-States, <=50K\n30, Private,187560, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,84848, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K\n75, ?,36243, Doctorate,16, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, State-gov,88913, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,36, United-States, <=50K\n19, Private,73190, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n60, Private,132529, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,214542, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,217006, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,169785, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n30, Private,75573, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, Germany, <=50K\n37, Private,239171, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-not-inc,53566, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K\n20, Private,117109, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,24, United-States, <=50K\n32, Private,398019, 7th-8th,4, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,15, Mexico, <=50K\n18, Private,114008, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n24, Private,204653, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Local-gov,254935, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, <=50K\n76, ?,84755, Some-college,10, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n57, Local-gov,198145, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,14, United-States, >50K\n53, Private,174020, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,1876,38, United-States, <=50K\n19, Private,451951, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Local-gov,172175, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,209472, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n40, Private,336707, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Female,0,0,60, United-States, <=50K\n26, ?,431861, 10th,6, Separated, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-inc,156728, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n39, Federal-gov,290321, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n49, State-gov,206577, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,149324, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,7, United-States, <=50K\n33, ?,49593, Some-college,10, Married-civ-spouse, ?, Wife, Black, Female,0,0,30, United-States, <=50K\n50, Private,98975, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n28, Private,181659, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K\n30, Private,174789, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,102308, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n39, Private,184801, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,176014, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n50, Private,256861, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, <=50K\n37, Private,239397, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n26, Private,233777, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,236520, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,70754, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,245378, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n26, Private,176729, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, >50K\n32, Private,154120, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,40, United-States, >50K\n43, Private,88913, Some-college,10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female,1055,0,40, United-States, <=50K\n19, Private,517036, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, El-Salvador, <=50K\n38, Private,436361, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,75, United-States, <=50K\n38, Private,231037, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, <=50K\n65, Private,209831, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n70, Self-emp-not-inc,143833, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2246,40, United-States, >50K\n48, ?,167381, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,25, United-States, <=50K\n44, Private,215468, Bachelors,13, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,7, United-States, <=50K\n32, Private,200700, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Local-gov,191777, HS-grad,9, Never-married, Protective-serv, Own-child, Black, Female,0,0,40, United-States, <=50K\n49, Federal-gov,195437, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,149396, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n25, Private,104746, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,16, United-States, <=50K\n19, Private,108147, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n27, Private,238859, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, State-gov,23157, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n38, Private,497788, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n42, Private,141558, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n33, Federal-gov,117963, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, United-States, <=50K\n30, Private,232356, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,157941, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,103642, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,169727, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,274731, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,161572, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,45, United-States, <=50K\n38, Private,48779, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,141511, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,314153, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,55, United-States, >50K\n30, Private,168334, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K\n42, Local-gov,267252, Masters,14, Separated, Exec-managerial, Unmarried, Black, Male,0,0,45, United-States, >50K\n31, Self-emp-not-inc,312055, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n32, Private,207937, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,232653, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n63, Private,246841, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,154087, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,199011, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n51, Self-emp-not-inc,205100, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K\n36, Private,177907, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,2176,0,20, ?, <=50K\n24, Private,50400, Some-college,10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n41, Local-gov,97064, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,44, United-States, <=50K\n21, Private,65038, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,292472, Some-college,10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,1876,45, Cambodia, <=50K\n17, Private,225211, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K\n45, Private,320192, 1st-4th,2, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n39, State-gov,119421, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,625,35, United-States, <=50K\n21, Private,83580, Some-college,10, Never-married, Prof-specialty, Own-child, Amer-Indian-Eskimo, Female,0,0,4, United-States, <=50K\n29, Private,133696, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,45, United-States, >50K\n39, Private,141584, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,2444,45, United-States, >50K\n42, Private,529216, HS-grad,9, Separated, Transport-moving, Other-relative, Black, Male,0,0,40, United-States, <=50K\n22, Private,390817, 5th-6th,3, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K\n21, ?,85733, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Private,155976, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,221172, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n45, Private,270842, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,82622, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n58, Private,371064, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K\n45, Private,54744, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,40, United-States, >50K\n29, Private,22641, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,45, United-States, <=50K\n21, Private,218957, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K\n51, Private,441637, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,143699, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n40, Private,183096, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n45, Private,97176, 11th,7, Divorced, Adm-clerical, Unmarried, White, Female,0,0,16, United-States, <=50K\n38, Self-emp-not-inc,122493, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K\n22, Private,311376, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Private,78928, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,3137,0,40, United-States, <=50K\n62, Private,123582, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Federal-gov,174215, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K\n36, Private,183902, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,4, United-States, >50K\n43, Private,247880, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,256636, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n33, ?,152875, Bachelors,13, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,40, China, <=50K\n28, Private,22422, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,55, United-States, <=50K\n49, ?,178215, Some-college,10, Widowed, ?, Unmarried, White, Female,0,0,28, United-States, <=50K\n47, Local-gov,194360, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,7, United-States, >50K\n59, Private,247187, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,63921, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,224889, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,178564, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, <=50K\n57, Private,47619, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n41, Private,92775, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n37, Private,50837, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n20, Local-gov,235894, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,244974, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n20, Local-gov,526734, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n38, Self-emp-not-inc,243484, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,28, United-States, >50K\n23, Private,201664, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n24, Private,234640, HS-grad,9, Married-spouse-absent, Sales, Own-child, White, Female,0,0,36, United-States, <=50K\n46, Private,268022, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n32, Local-gov,223267, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n21, Self-emp-not-inc,99199, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,137076, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,115411, Some-college,10, Divorced, Sales, Own-child, White, Male,2174,0,45, United-States, <=50K\n51, Private,313146, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n69, Self-emp-not-inc,29980, 7th-8th,4, Never-married, Farming-fishing, Other-relative, White, Male,1848,0,10, United-States, <=50K\n39, Self-emp-inc,543042, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,50, United-States, >50K\n43, Private,271807, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Federal-gov,97934, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,5178,0,40, United-States, >50K\n43, Private,191196, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,264627, 11th,7, Divorced, Exec-managerial, Unmarried, White, Female,0,0,84, United-States, <=50K\n32, Private,183801, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,209227, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,21, United-States, <=50K\n64, Private,216208, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,377095, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n44, Private,317535, 1st-4th,2, Married-civ-spouse, Protective-serv, Other-relative, White, Male,0,0,40, Mexico, <=50K\n40, Private,247880, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,152246, Some-college,10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n23, Private,428299, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,161708, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n19, Private,167859, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n61, Private,85194, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,25, United-States, <=50K\n47, Self-emp-inc,119471, 7th-8th,4, Never-married, Craft-repair, Not-in-family, Other, Male,0,0,40, ?, <=50K\n39, Private,117683, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n51, Private,139347, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,40, United-States, >50K\n25, Private,427744, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,122116, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n34, State-gov,227931, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n54, Self-emp-not-inc,226497, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,83783, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Private,197113, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Other, Male,0,0,50, Puerto-Rico, <=50K\n33, Private,204742, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n63, ?,331527, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,14, United-States, <=50K\n31, Private,213179, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n70, Self-emp-inc,188260, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,16, United-States, <=50K\n43, Private,298161, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Nicaragua, <=50K\n36, Private,143774, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,12, United-States, >50K\n50, Local-gov,139296, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n21, Private,152389, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n31, Private,309974, Some-college,10, Separated, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n19, ?,37085, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n39, Private,270059, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n29, Private,130045, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n39, Private,188038, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Private,168203, 7th-8th,4, Never-married, Farming-fishing, Other-relative, Other, Male,0,0,40, Mexico, <=50K\n46, Private,171807, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n62, Private,186696, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,177531, 10th,6, Divorced, Other-service, Unmarried, Black, Female,0,0,23, United-States, <=50K\n28, Private,115464, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n19, Private,501144, Some-college,10, Never-married, Sales, Other-relative, Black, Female,0,0,40, United-States, <=50K\n61, Local-gov,180079, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,4064,0,40, United-States, <=50K\n18, Private,205894, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, ?, <=50K\n39, Self-emp-not-inc,218490, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,50, ?, >50K\n24, Local-gov,203924, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, <=50K\n38, Private,91857, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, <=50K\n38, Private,229700, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n17, Private,158704, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n28, Private,190911, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,139176, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,8, United-States, <=50K\n61, Private,119684, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,20, United-States, >50K\n69, Private,124930, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2267,40, United-States, <=50K\n19, Private,168693, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n26, Private,250038, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n34, Self-emp-inc,353927, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n70, Private,216390, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,2653,0,40, United-States, <=50K\n21, Private,230248, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n43, Private,117728, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n52, Private,115851, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,193335, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,203894, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n53, Self-emp-not-inc,100109, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n55, State-gov,157639, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n46, Self-emp-inc,235320, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K\n36, Private,127686, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K\n39, Private,28572, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,48, United-States, <=50K\n78, ?,91534, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,3, United-States, <=50K\n30, Private,184687, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K\n22, Private,267945, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K\n43, Private,131899, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,192614, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,56, United-States, <=50K\n36, Private,186808, Bachelors,13, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,40, United-States, >50K\n50, Private,44116, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Federal-gov,46442, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,0,0,35, United-States, <=50K\n46, Federal-gov,78022, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,417668, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n41, Private,223763, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n68, Private,223851, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,24, United-States, <=50K\n38, Local-gov,115634, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,114459, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,197093, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,20, United-States, <=50K\n31, Self-emp-not-inc,357145, Doctorate,16, Never-married, Prof-specialty, Own-child, White, Female,0,0,48, United-States, <=50K\n29, Private,59231, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K\n26, Private,292303, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Private,122288, Some-college,10, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,36, United-States, <=50K\n26, Federal-gov,52322, Bachelors,13, Never-married, Tech-support, Not-in-family, Other, Male,0,0,60, United-States, <=50K\n27, Local-gov,105830, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n36, Private,107125, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n28, Federal-gov,281860, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Private,283320, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, State-gov,26598, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,220783, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n21, ?,121694, 7th-8th,4, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,208302, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,34, United-States, <=50K\n34, Local-gov,172664, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,54611, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n64, Private,631947, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,394484, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n25, ?,239120, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,13, United-States, <=50K\n38, Federal-gov,37683, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,99999,0,57, Canada, >50K\n47, Local-gov,193012, Masters,14, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,50, United-States, >50K\n48, Private,143098, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1902,40, China, >50K\n57, Private,84888, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n37, Private,188503, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n37, Private,337778, 11th,7, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,94432, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, >50K\n32, Private,168906, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Private,116143, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,128272, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,14, United-States, <=50K\n64, Federal-gov,301383, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,45, United-States, >50K\n46, Private,174995, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n24, State-gov,289909, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,154641, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n23, Private,209034, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,3942,0,40, United-States, <=50K\n30, Private,203488, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K\n34, Private,141118, Masters,14, Divorced, Prof-specialty, Own-child, White, Female,0,0,60, United-States, >50K\n30, Private,169589, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,137645, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n58, Local-gov,489085, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K\n32, Private,36302, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n37, Private,253420, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K\n35, Private,269300, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n18, Private,282609, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,30, Honduras, <=50K\n46, Private,346978, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n71, Private,182395, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,11678,0,45, United-States, >50K\n44, Private,205051, 10th,6, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,128736, 10th,6, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,236110, 12th,8, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Cuba, >50K\n38, Private,312271, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,126978, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,40, China, <=50K\n47, Private,204692, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,195956, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,35, United-States, <=50K\n59, State-gov,202682, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,231912, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,37, United-States, <=50K\n44, Local-gov,24982, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n76, Private,278938, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n50, Local-gov,36489, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Local-gov,154874, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,74581, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n27, Private,311446, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,5178,0,40, United-States, >50K\n37, Self-emp-inc,162164, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,239708, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n49, Self-emp-not-inc,162856, Some-college,10, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n48, Self-emp-inc,85109, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n49, Private,169042, HS-grad,9, Separated, Prof-specialty, Unmarried, White, Female,0,625,40, Puerto-Rico, <=50K\n22, Private,436798, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,345363, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, England, <=50K\n36, Private,49837, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, ?,296516, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n30, State-gov,180283, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n40, Local-gov,95639, HS-grad,9, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n42, Private,33155, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n56, Private,329059, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Italy, >50K\n55, Private,24694, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,443855, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n52, ?,294691, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,301867, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,35, United-States, <=50K\n55, Private,226875, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K\n47, Private,362835, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,180339, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,65, United-States, <=50K\n55, Self-emp-inc,207489, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,50, Germany, <=50K\n43, Private,336643, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n31, Private,143653, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n62, State-gov,101475, Assoc-acdm,12, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Local-gov,263871, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,8, United-States, <=50K\n38, Self-emp-not-inc,77820, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,95465, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,42, United-States, <=50K\n26, Private,257910, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K\n26, Private,244372, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,52, United-States, >50K\n37, Self-emp-not-inc,126738, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K\n79, Self-emp-inc,97082, 12th,8, Widowed, Sales, Not-in-family, White, Male,18481,0,45, United-States, >50K\n61, Private,133164, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K\n28, Self-emp-not-inc,104617, 7th-8th,4, Never-married, Other-service, Other-relative, White, Female,0,0,99, Mexico, <=50K\n60, Self-emp-inc,105339, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K\n51, Self-emp-inc,258735, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,81, United-States, <=50K\n34, Private,182926, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, >50K\n35, Private,166193, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Local-gov,206125, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n44, Private,346594, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,108301, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n32, Private,73498, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,129150, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, >50K\n27, Private,181280, Masters,14, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,30, United-States, <=50K\n40, Private,146908, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n43, Private,183765, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, ?, >50K\n25, Private,164488, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,307468, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,93884, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n26, Private,279833, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,2258,45, United-States, >50K\n52, Private,137658, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Dominican-Republic, <=50K\n32, Private,101562, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n33, Private,136331, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,259846, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n48, Private,98719, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,44, United-States, <=50K\n62, Self-emp-not-inc,168682, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,5, United-States, <=50K\n40, Self-emp-not-inc,198953, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, Black, Female,0,0,2, United-States, <=50K\n41, ?,29115, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n28, Private,173673, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n23, Private,67958, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n50, Federal-gov,98980, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n51, State-gov,94174, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n63, Self-emp-not-inc,122442, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,48, United-States, <=50K\n63, Federal-gov,154675, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,116632, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K\n20, ?,238685, 11th,7, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, ?,139391, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,99999,0,30, United-States, >50K\n40, Private,169031, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,237452, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,15, Cuba, >50K\n41, Private,216968, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, ?, <=50K\n27, ?,216479, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,24, United-States, >50K\n20, State-gov,126822, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K\n28, Private,51461, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1887,40, United-States, >50K\n35, Private,54953, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,222654, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,37676, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n57, Private,159319, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,125321, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,209609, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,224947, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, State-gov,438427, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n26, Self-emp-not-inc,384276, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,196805, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,65, United-States, <=50K\n27, Private,242097, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,184306, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n45, Private,161954, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Germany, <=50K\n65, Private,258561, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n57, Self-emp-not-inc,95280, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,99999,0,45, United-States, >50K\n59, Private,212783, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n18, Private,205004, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,26, United-States, <=50K\n44, Local-gov,387844, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,83880, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,161155, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,265698, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n59, Self-emp-inc,146477, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,97261, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, State-gov,437890, HS-grad,9, Never-married, Exec-managerial, Unmarried, Black, Male,0,0,90, United-States, <=50K\n68, Self-emp-not-inc,133736, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,20051,0,40, United-States, >50K\n63, Private,169983, 11th,7, Widowed, Sales, Not-in-family, White, Female,2176,0,30, United-States, <=50K\n37, Private,126675, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,57, United-States, <=50K\n46, Local-gov,175754, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,1876,60, United-States, <=50K\n31, Private,121768, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, Poland, <=50K\n23, Private,180052, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,124454, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n49, Private,190115, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1672,44, United-States, <=50K\n36, Private,222584, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, Private,22245, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n46, Local-gov,114160, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,45, United-States, >50K\n24, Private,228960, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,132572, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n47, Private,103020, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female,0,0,40, Puerto-Rico, <=50K\n40, Private,187802, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1887,40, United-States, >50K\n31, Local-gov,50649, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n42, Private,137698, 5th-6th,3, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,35, Mexico, <=50K\n48, Self-emp-inc,30575, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, >50K\n56, Private,202220, Some-college,10, Separated, Tech-support, Unmarried, Black, Female,0,0,38, United-States, <=50K\n50, Private,50178, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,207791, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n21, Private,540712, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,1719,25, United-States, <=50K\n50, Private,321770, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Private,202053, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K\n34, Private,143699, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,15, United-States, <=50K\n32, Self-emp-not-inc,115066, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n28, Private,223751, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n62, Self-emp-inc,354075, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,32732, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K\n24, State-gov,390867, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n31, Private,101697, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n36, Private,279721, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,223400, Assoc-acdm,12, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female,0,0,35, Poland, <=50K\n46, ?,206357, 5th-6th,3, Married-civ-spouse, ?, Wife, White, Female,0,0,40, Mexico, <=50K\n39, Private,76417, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n48, ?,184682, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,18, United-States, <=50K\n21, Private,78170, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K\n39, Private,201410, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,189013, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n33, Private,119913, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,549174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n29, Local-gov,214706, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, ?,33811, Bachelors,13, Married-civ-spouse, ?, Wife, Other, Female,0,0,40, Taiwan, >50K\n43, Private,234220, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, Cuba, <=50K\n22, Private,237720, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,185942, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, >50K\n69, Local-gov,286983, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,140027, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n18, ?,115258, 11th,7, Never-married, ?, Own-child, White, Male,0,0,12, United-States, <=50K\n54, Private,155408, HS-grad,9, Widowed, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n65, ?,117963, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K\n28, Private,158737, 12th,8, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Male,0,0,40, Ecuador, <=50K\n27, Local-gov,199471, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,38, United-States, <=50K\n35, Private,287701, Assoc-acdm,12, Divorced, Craft-repair, Unmarried, White, Male,0,0,45, United-States, >50K\n38, Private,137707, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n33, State-gov,108116, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,366900, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-inc,187355, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,60, Canada, >50K\n38, Private,33105, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,70, United-States, >50K\n51, Self-emp-not-inc,268639, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,2057,60, Canada, <=50K\n26, Private,358975, Some-college,10, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,50, Hungary, <=50K\n33, Private,199227, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n44, Private,248249, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,460437, 9th,5, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,187294, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n44, Private,115932, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,181762, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,55, United-States, >50K\n21, Private,27049, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Private,806552, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n41, Private,150755, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, Canada, >50K\n62, Private,69867, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K\n27, Private,160786, 11th,7, Separated, Craft-repair, Not-in-family, White, Male,0,0,45, Germany, <=50K\n38, Private,219546, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n60, Private,24872, Some-college,10, Separated, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Female,0,0,30, United-States, <=50K\n24, Private,110371, 12th,8, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, Mexico, <=50K\n24, ?,376474, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,304602, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n32, ?,143699, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,238917, 1st-4th,2, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,24, Mexico, <=50K\n51, Private,200618, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,183043, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,48, United-States, >50K\n42, Local-gov,209752, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n48, ?,175653, Assoc-acdm,12, Divorced, ?, Not-in-family, White, Female,14084,0,40, United-States, >50K\n49, Private,196707, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,43, United-States, >50K\n37, Local-gov,98725, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,42, United-States, <=50K\n37, Self-emp-not-inc,180150, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n66, Private,151227, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n18, ?,118847, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,24, United-States, <=50K\n46, Private,282538, Assoc-voc,11, Separated, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n52, Private,89534, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,291011, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n67, Private,166187, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Male,0,0,38, United-States, >50K\n19, Private,188669, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n37, Private,178948, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n42, Self-emp-inc,188738, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, Italy, >50K\n39, Self-emp-not-inc,160808, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n54, Private,93605, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1848,40, United-States, >50K\n46, Private,318331, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, ?,109921, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,32, United-States, <=50K\n33, Private,87605, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n69, Self-emp-not-inc,89477, Some-college,10, Widowed, Farming-fishing, Not-in-family, White, Female,0,0,14, United-States, <=50K\n21, Private,48301, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,220748, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,48, United-States, <=50K\n39, Private,387068, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,250743, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n26, Private,78258, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K\n42, Private,31387, Doctorate,16, Married-spouse-absent, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n36, Private,289190, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, Private,604537, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, Mexico, <=50K\n35, Private,328466, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n42, Private,403187, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K\n37, Private,219546, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,44, United-States, >50K\n41, Private,220531, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,204648, Assoc-voc,11, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,201908, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n44, ?,109912, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,16, United-States, >50K\n18, Private,365683, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K\n41, Private,175674, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,203488, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,106406, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n67, Private,172756, 1st-4th,2, Widowed, Machine-op-inspct, Not-in-family, White, Female,2062,0,34, Ecuador, <=50K\n37, Private,125167, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n51, Private,249339, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,94652, Some-college,10, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n40, Private,195394, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n25, Private,130302, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n38, Private,66686, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,336042, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,193586, Some-college,10, Separated, Farming-fishing, Other-relative, White, Female,0,0,40, United-States, <=50K\n44, Private,325461, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n60, Local-gov,313852, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K\n38, Local-gov,30509, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1669,55, United-States, <=50K\n21, Local-gov,32639, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n18, Private,234953, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n49, Private,120629, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Female,27828,0,60, United-States, >50K\n43, Private,350379, 5th-6th,3, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,40, Mexico, <=50K\n26, ?,176967, 11th,7, Never-married, ?, Not-in-family, White, Female,0,0,65, United-States, <=50K\n36, Private,36423, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, United-States, >50K\n31, Private,123397, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,5178,0,35, United-States, >50K\n38, Private,130813, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,35236, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K\n58, Private,33350, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n55, Private,177380, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,29, United-States, <=50K\n39, Private,216129, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,35, Jamaica, <=50K\n38, Private,335104, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n54, Self-emp-not-inc,199741, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,2001,35, United-States, <=50K\n57, Self-emp-inc,165881, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,387777, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, <=50K\n44, Self-emp-not-inc,149943, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,60, Taiwan, >50K\n36, Private,188834, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,290661, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,155603, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,2205,40, United-States, <=50K\n25, Private,114838, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,8, Italy, <=50K\n54, Local-gov,168553, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,103064, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,123833, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n60, Federal-gov,55621, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n66, Local-gov,189834, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n36, Private,217926, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,50, United-States, <=50K\n29, Self-emp-not-inc,341672, HS-grad,9, Married-spouse-absent, Transport-moving, Other-relative, Asian-Pac-Islander, Male,0,1564,50, India, >50K\n29, Private,163003, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,2202,0,40, Taiwan, <=50K\n25, Private,194352, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,44, United-States, <=50K\n62, ?,54878, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n23, Private,393248, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,279315, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n33, Private,392812, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, >50K\n49, Self-emp-inc,34998, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n57, Self-emp-inc,51016, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n57, Local-gov,132717, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n46, Private,186078, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,45, United-States, <=50K\n37, Self-emp-inc,196123, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n43, Self-emp-inc,304906, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n26, Private,41521, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n40, Private,346847, Assoc-voc,11, Separated, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,107233, HS-grad,9, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n39, Private,150125, Assoc-acdm,12, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Private,400535, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,409622, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,36, Mexico, <=50K\n27, Private,136448, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,202950, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Iran, <=50K\n40, Local-gov,197012, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,8614,0,40, England, >50K\n57, Private,237691, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n24, Private,170277, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n30, Private,160784, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n28, Private,33798, 12th,8, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n22, Private,197838, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,223212, 7th-8th,4, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n33, Private,125762, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, >50K\n20, Private,283969, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,15, United-States, <=50K\n25, Private,374163, 12th,8, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0,0,60, Mexico, <=50K\n49, State-gov,118567, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,147655, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n45, Private,82797, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n36, Local-gov,142573, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n41, Private,235167, 5th-6th,3, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female,0,0,32, Mexico, <=50K\n23, Private,53245, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1602,12, United-States, <=50K\n47, Private,28035, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n41, Private,247082, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Private,123397, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Local-gov,133327, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,102270, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n64, ?,45817, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n55, Private,240988, 9th,5, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n19, Private,386378, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n31, State-gov,350651, 12th,8, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n18, State-gov,76142, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K\n68, Private,73773, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K\n50, ?,281504, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,293358, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,48, United-States, <=50K\n44, Private,146906, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n58, Self-emp-not-inc,331474, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n20, Private,213719, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n18, Private,101795, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,228265, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,30, United-States, <=50K\n49, Self-emp-not-inc,130206, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,324254, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,223019, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,189666, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,139086, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,359327, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, ?, <=50K\n44, Self-emp-not-inc,75065, 12th,8, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, Vietnam, <=50K\n55, Private,139843, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K\n21, Private,34310, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2603,40, United-States, <=50K\n54, Private,346014, Some-college,10, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K\n39, Local-gov,163278, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,2202,0,44, United-States, <=50K\n52, Private,31460, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,38, United-States, <=50K\n57, Self-emp-inc,33725, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n67, ?,63552, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n58, State-gov,300623, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Local-gov,177072, Some-college,10, Never-married, Prof-specialty, Other-relative, White, Male,0,0,16, United-States, <=50K\n66, ?,37331, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K\n41, Private,167725, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,131180, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,16, United-States, <=50K\n58, Private,275859, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Male,8614,0,52, Mexico, >50K\n50, Private,275181, 5th-6th,3, Divorced, Other-service, Not-in-family, White, Male,0,0,37, Cuba, <=50K\n31, Private,398988, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,222654, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,111129, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n26, Self-emp-not-inc,137795, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n33, Local-gov,242150, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n35, State-gov,237873, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n44, Private,367749, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Mexico, <=50K\n26, Private,206600, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, Mexico, <=50K\n48, Federal-gov,247043, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,187702, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n62, Private,41718, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n37, Private,151835, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n18, Private,118938, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,18, United-States, <=50K\n48, Private,224870, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, Other, Female,0,0,38, Ecuador, <=50K\n45, Private,178341, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,61343, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,36989, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,226296, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,51, United-States, <=50K\n29, Private,186624, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Cuba, <=50K\n19, Private,172582, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n53, State-gov,227392, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K\n49, Private,187563, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n71, Private,137499, HS-grad,9, Widowed, Sales, Other-relative, White, Female,0,0,16, United-States, <=50K\n38, Private,239397, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, Mexico, <=50K\n39, Local-gov,327164, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n23, Private,140798, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Self-emp-inc,187450, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,194580, 5th-6th,3, Divorced, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K\n41, Private,372682, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n20, Private,235442, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n30, Private,128065, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K\n56, Private,91545, 10th,6, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,36, United-States, <=50K\n26, Private,154604, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Federal-gov,192150, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Local-gov,216522, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,42, United-States, <=50K\n58, Private,156040, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,1848,40, United-States, >50K\n24, Private,206861, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,97632, Some-college,10, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,32, United-States, <=50K\n27, Private,189530, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n28, State-gov,381789, Some-college,10, Separated, Exec-managerial, Own-child, White, Male,0,2339,40, United-States, <=50K\n57, Self-emp-inc,368797, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n21, State-gov,41183, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n50, Private,191062, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,132963, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n58, Private,153551, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n27, Self-emp-not-inc,66473, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,240323, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,17, United-States, <=50K\n68, Local-gov,242095, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,40, United-States, >50K\n33, Self-emp-inc,128016, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,29526, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,18, United-States, <=50K\n26, Private,342953, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n37, Private,215476, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,30, United-States, <=50K\n53, Private,231919, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n32, Private,52537, Some-college,10, Never-married, Tech-support, Not-in-family, Black, Male,0,0,38, United-States, <=50K\n18, Private,27920, 11th,7, Never-married, Exec-managerial, Own-child, White, Female,0,0,25, United-States, <=50K\n53, Private,153052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-not-inc,199303, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,233369, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,345789, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,50, United-States, >50K\n60, Private,238913, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,46, United-States, >50K\n28, Self-emp-not-inc,195607, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n34, Private,245173, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,1669,45, United-States, <=50K\n37, Private,138441, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,67467, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,102569, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,65, United-States, >50K\n21, Private,213341, 11th,7, Married-spouse-absent, Handlers-cleaners, Own-child, White, Male,0,1762,40, Dominican-Republic, <=50K\n26, Private,37202, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n47, Private,140219, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n18, Private,298860, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n22, Private,51362, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,16, United-States, <=50K\n36, Private,199947, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K\n59, Self-emp-not-inc,32552, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n33, Private,183845, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,38, El-Salvador, <=50K\n33, Private,181091, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, England, <=50K\n53, Self-emp-inc,135643, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,50, South, <=50K\n44, State-gov,96249, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3411,0,40, United-States, <=50K\n55, Private,181220, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n56, Private,133025, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n54, Self-emp-not-inc,124865, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n51, Private,45599, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,194293, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,2463,0,38, United-States, <=50K\n43, Private,102180, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n44, Private,121130, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,138768, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,50, United-States, <=50K\n43, State-gov,98989, HS-grad,9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n26, State-gov,126327, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n30, Private,113364, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,18, United-States, <=50K\n30, Private,326199, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,2580,0,40, United-States, <=50K\n46, Private,376789, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,15, United-States, <=50K\n27, Private,137063, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,279145, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,178815, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,8614,0,40, United-States, >50K\n25, Self-emp-not-inc,245369, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n30, Federal-gov,49593, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n46, State-gov,238648, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,7298,0,40, United-States, >50K\n47, Private,166181, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,48, United-States, >50K\n66, Self-emp-inc,249043, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,5556,0,26, United-States, >50K\n43, Private,156403, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n71, ?,128529, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n36, Federal-gov,186934, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1848,55, United-States, >50K\n46, ?,148489, HS-grad,9, Married-spouse-absent, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n44, Local-gov,387770, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,15, United-States, <=50K\n42, Private,115511, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,201410, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1977,45, Philippines, >50K\n36, Private,220585, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n60, Self-emp-not-inc,282066, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K\n37, Private,280966, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,291586, Bachelors,13, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K\n24, Private,142227, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n17, ?,104025, 11th,7, Never-married, ?, Own-child, White, Male,0,0,18, United-States, <=50K\n45, Local-gov,148254, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n54, Private,170562, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n22, Private,222490, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n63, Local-gov,57674, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K\n22, Private,233624, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K\n27, Private,42734, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K\n33, Private,233107, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,33, Mexico, <=50K\n64, Private,143110, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n50, Private,195844, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n44, Self-emp-not-inc,115896, Assoc-voc,11, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,303851, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n44, Private,172475, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n53, Self-emp-not-inc,30008, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n33, Local-gov,147921, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Federal-gov,172716, 12th,8, Married-civ-spouse, Armed-Forces, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,155057, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K\n43, ?,152569, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,2339,36, United-States, <=50K\n80, Self-emp-not-inc,132728, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,20, United-States, <=50K\n31, Private,195136, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K\n40, Private,377322, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n53, Local-gov,293941, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,182123, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, <=50K\n38, Private,32528, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,140206, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n48, Local-gov,378221, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Mexico, >50K\n23, Private,211601, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,119411, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n52, Self-emp-not-inc,240013, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K\n24, Private,95552, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,183710, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,189382, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n52, Private,380633, 5th-6th,3, Widowed, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n54, Private,53407, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,150480, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n40, Private,175674, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,375313, HS-grad,9, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,50, United-States, <=50K\n21, ?,278391, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,16, United-States, <=50K\n23, Private,212888, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-inc,487085, 7th-8th,4, Never-married, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n22, Private,174461, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n55, Local-gov,133201, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n71, Private,77253, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,17, United-States, <=50K\n47, Private,141511, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n17, Self-emp-inc,181608, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,12, United-States, <=50K\n31, Private,127610, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n32, Private,154571, Some-college,10, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n46, Private,33842, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,40, United-States, >50K\n27, Private,150080, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Federal-gov,30916, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n40, Private,151294, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,48, United-States, <=50K\n30, Private,48829, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,1602,30, United-States, <=50K\n17, Private,193769, 9th,5, Never-married, Other-service, Unmarried, White, Male,0,0,20, United-States, <=50K\n33, Private,277455, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n72, Private,225780, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n34, Federal-gov,436341, Some-college,10, Married-AF-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n65, Private,255386, HS-grad,9, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K\n36, Private,174938, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,50, United-States, >50K\n32, Private,174789, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n26, Private,245628, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, Mexico, <=50K\n22, Private,228752, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,354148, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,48, United-States, >50K\n31, Private,192900, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,190391, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n38, Private,353263, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, Italy, >50K\n34, Private,113198, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,28, United-States, <=50K\n44, Private,207578, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n27, Private,93206, Some-college,10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n50, Local-gov,163998, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,44, United-States, >50K\n47, Private,111961, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,30, United-States, <=50K\n20, Private,219122, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,111445, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K\n29, Federal-gov,309778, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n37, Local-gov,223020, Assoc-voc,11, Never-married, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K\n42, Private,303155, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, ?,41035, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n68, Private,159191, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Local-gov,244408, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n72, Self-emp-not-inc,473748, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n45, Federal-gov,71823, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,20, United-States, <=50K\n30, Local-gov,83066, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Private,150154, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,190786, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,178033, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Male,4416,0,60, United-States, <=50K\n25, Self-emp-not-inc,159909, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,190885, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,40, Guatemala, <=50K\n25, Private,243786, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K\n31, State-gov,124020, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,159016, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, <=50K\n37, Private,183800, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n58, Self-emp-not-inc,193434, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n26, Private,245029, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n55, Private,98746, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, Canada, >50K\n46, Federal-gov,140664, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n44, Private,344920, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,1617,20, United-States, <=50K\n44, Private,169980, 11th,7, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,60, United-States, <=50K\n28, State-gov,155397, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K\n42, Private,245317, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,74182, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,280570, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n64, Self-emp-not-inc,30664, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n20, Private,109952, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n45, Local-gov,192793, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,243442, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n36, Federal-gov,106297, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,328060, 9th,5, Separated, Other-service, Unmarried, Other, Female,0,0,40, Mexico, <=50K\n33, Self-emp-not-inc,48702, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K\n51, Self-emp-not-inc,111283, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,99999,0,35, United-States, >50K\n36, Private,484024, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n40, Private,208470, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,172032, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,51, United-States, >50K\n40, Private,29927, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, England, <=50K\n46, Private,98012, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,108468, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n30, Private,207301, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,1980,40, United-States, <=50K\n26, Private,168403, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,66935, Bachelors,13, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,42044, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,184806, Prof-school,15, Never-married, Prof-specialty, Other-relative, White, Male,0,0,50, United-States, <=50K\n39, Private,1455435, Assoc-acdm,12, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,445382, Some-college,10, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n37, Private,278576, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, >50K\n79, Self-emp-not-inc,84979, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, >50K\n36, Private,659504, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, >50K\n44, Private,136986, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,278107, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1573,30, United-States, <=50K\n27, Private,96219, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n46, Self-emp-not-inc,131091, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n58, Private,205410, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,416745, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K\n36, Private,180667, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,60, United-States, >50K\n21, Private,72119, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n41, State-gov,108945, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,14344,0,40, United-States, >50K\n49, Federal-gov,195949, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,101345, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n29, Private,439263, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,35, Peru, <=50K\n63, Private,213095, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n29, Federal-gov,59932, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Private,172815, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,40915, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n42, Private,139012, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K\n44, Private,121781, Some-college,10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,37, United-States, <=50K\n51, ?,130667, HS-grad,9, Separated, ?, Not-in-family, Black, Male,0,0,6, United-States, <=50K\n41, Self-emp-not-inc,147110, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,25, United-States, <=50K\n22, Local-gov,237811, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Black, Female,0,0,35, Haiti, <=50K\n36, ?,128640, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, <=50K\n18, Private,111476, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Local-gov,289716, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,141944, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n49, Private,323773, 11th,7, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female,0,0,40, United-States, <=50K\n41, State-gov,176663, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n52, Private,155233, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Private,143327, Some-college,10, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Federal-gov,177212, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,123088, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n30, Local-gov,47085, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,102106, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,235894, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n71, Self-emp-not-inc,172046, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n20, Self-emp-not-inc,197207, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n26, Private,152452, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,172928, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K\n36, ?,214896, 9th,5, Divorced, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K\n49, Private,116338, HS-grad,9, Separated, Prof-specialty, Unmarried, White, Female,0,653,60, United-States, <=50K\n48, Private,276664, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K\n22, Private,59924, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Private,194141, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,1617,40, United-States, <=50K\n51, Private,95128, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,292504, Some-college,10, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Self-emp-inc,45796, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n42, Private,119359, Prof-school,15, Married-civ-spouse, Sales, Wife, Amer-Indian-Eskimo, Female,15024,0,40, South, >50K\n52, State-gov,104280, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n57, Private,172291, HS-grad,9, Divorced, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K\n35, Private,180988, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,39, United-States, <=50K\n52, Private,110748, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n59, ?,556688, 9th,5, Divorced, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K\n36, Private,22494, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,267859, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Cuba, >50K\n67, Local-gov,256821, HS-grad,9, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,20, United-States, <=50K\n31, Self-emp-not-inc,117346, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n31, Private,62374, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n28, Private,314659, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,42, United-States, <=50K\n72, ?,114761, 7th-8th,4, Widowed, ?, Unmarried, White, Female,0,0,20, United-States, <=50K\n36, Private,93225, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,165315, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K\n56, Private,124771, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,27408, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,198841, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,271792, Bachelors,13, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,64289, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,183390, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,240771, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,50, United-States, >50K\n30, Private,234919, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, El-Salvador, <=50K\n20, Private,88231, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,154422, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n37, Private,119098, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n53, State-gov,151580, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386,0,40, United-States, >50K\n54, Private,118793, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n32, ?,30499, Bachelors,13, Divorced, ?, Unmarried, White, Female,0,0,32, United-States, <=50K\n34, ?,166545, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,7688,0,6, United-States, >50K\n30, Private,271710, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, United-States, >50K\n43, State-gov,308498, HS-grad,9, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n48, Private,172695, Assoc-voc,11, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,29962, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n62, Private,200332, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,291702, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,67234, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n45, Private,168038, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,32, United-States, <=50K\n34, Private,137814, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n64, Private,126233, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n42, Self-emp-not-inc,79036, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K\n60, Self-emp-not-inc,327474, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K\n44, Private,145160, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,58, United-States, <=50K\n67, ?,37092, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,4, United-States, <=50K\n45, Private,129387, Assoc-acdm,12, Divorced, Tech-support, Unmarried, White, Female,0,0,40, ?, <=50K\n53, Self-emp-not-inc,33304, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n37, Private,359001, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,50, United-States, >50K\n32, ?,143162, 10th,6, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n23, Private,133515, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n28, Private,168901, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K\n55, Private,750972, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, <=50K\n58, Private,142924, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,24, United-States, >50K\n74, Self-emp-inc,228075, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,25, United-States, >50K\n27, Private,91189, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,290609, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n22, ?,31102, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,4, South, <=50K\n44, Self-emp-not-inc,216921, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,70, United-States, <=50K\n23, Private,120046, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,324629, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Yugoslavia, <=50K\n45, Private,81132, Some-college,10, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,55, United-States, >50K\n29, Private,160279, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n33, Private,229732, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, >50K\n61, Local-gov,144723, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K\n29, Private,148431, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, Other, Female,7688,0,45, United-States, >50K\n22, Private,160398, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,38, United-States, <=50K\n28, Private,129460, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, El-Salvador, <=50K\n30, Private,252752, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n20, Private,58222, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n28, ?,424884, 10th,6, Separated, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n45, Private,114459, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n19, ?,46400, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,24, United-States, <=50K\n42, Private,223934, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,84119, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,159123, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,195532, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,191299, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,198316, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,162301, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n35, Private,143152, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,3908,0,27, United-States, <=50K\n24, Private,92609, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K\n27, Private,247819, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K\n27, Local-gov,229223, Some-college,10, Never-married, Protective-serv, Own-child, White, Female,0,0,40, United-States, >50K\n45, Self-emp-inc,142719, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n80, Private,86111, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n23, State-gov,35633, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K\n46, Private,164749, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,607848, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,173630, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n90, Private,311184, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, ?, <=50K\n55, Private,49737, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n72, Private,183616, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, England, <=50K\n65, Private,129426, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,454915, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, State-gov,55568, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n38, Private,29874, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,393715, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n50, Private,143953, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n54, Private,90363, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,53727, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n30, Private,130021, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,40, United-States, <=50K\n50, Private,173630, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n28, Private,410351, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n34, Private,399386, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,53, United-States, <=50K\n55, Private,157932, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,133061, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n19, ?,46400, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,32, United-States, <=50K\n21, Private,107895, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,35, United-States, <=50K\n39, Private,63021, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n43, Private,186144, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n33, Local-gov,27959, HS-grad,9, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n26, Private,179569, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, State-gov,101299, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n31, State-gov,113129, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,65, United-States, <=50K\n32, Private,316470, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, Mexico, <=50K\n60, Self-emp-not-inc,89884, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,32121, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,315303, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K\n27, Private,254500, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,36, United-States, <=50K\n33, Private,419895, 5th-6th,3, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, Mexico, <=50K\n43, Private,159549, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,160786, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n18, Self-emp-not-inc,258474, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,370119, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,50837, 7th-8th,4, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n58, Private,137506, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,548256, 12th,8, Married-civ-spouse, Transport-moving, Husband, Black, Male,7688,0,40, United-States, >50K\n42, Local-gov,175642, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,99999,0,40, United-States, >50K\n24, Private,183594, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n26, Private,341353, Bachelors,13, Never-married, Other-service, Other-relative, White, Male,0,0,15, United-States, <=50K\n43, Self-emp-inc,247981, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,5455,0,50, United-States, <=50K\n34, Private,193565, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,39606, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,127149, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, >50K\n31, ?,233371, HS-grad,9, Married-civ-spouse, ?, Wife, Black, Female,0,0,45, United-States, <=50K\n49, Self-emp-not-inc,182752, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K\n26, Private,269060, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Private,179949, HS-grad,9, Divorced, Transport-moving, Unmarried, Black, Female,0,0,20, United-States, <=50K\n22, Federal-gov,32950, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,37, United-States, <=50K\n26, Private,160445, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,223999, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,1848,40, United-States, >50K\n39, Private,81487, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,625,40, United-States, <=50K\n23, Private,314539, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n62, ?,337721, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n42, Local-gov,100793, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n39, Federal-gov,255407, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Federal-gov,92775, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,33308, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,70, United-States, <=50K\n68, State-gov,493363, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n30, ?,159589, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,46, United-States, >50K\n32, Private,107218, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n25, Private,123586, Some-college,10, Never-married, Adm-clerical, Unmarried, Other, Male,0,0,40, United-States, <=50K\n53, Private,158352, 5th-6th,3, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,24, Italy, <=50K\n38, Private,76317, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n62, ?,176753, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,122346, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,463194, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,162228, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n43, State-gov,115005, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, State-gov,183285, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,36, United-States, <=50K\n34, Private,169605, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K\n24, Private,450695, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n44, Local-gov,124692, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n19, Private,63918, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,102569, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,289309, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,48, United-States, <=50K\n45, Private,101825, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K\n43, Private,206833, HS-grad,9, Separated, Handlers-cleaners, Unmarried, Black, Female,0,0,45, United-States, <=50K\n22, ?,77873, 9th,5, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n50, Private,145333, Doctorate,16, Divorced, Prof-specialty, Other-relative, White, Male,10520,0,50, United-States, >50K\n72, ?,194548, Some-college,10, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,3, United-States, <=50K\n29, Private,206351, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,198200, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n24, Private,140001, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, El-Salvador, <=50K\n22, ?,287988, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,15, United-States, <=50K\n21, Private,143604, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,146161, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K\n37, Private,196529, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,2354,0,40, ?, <=50K\n74, Self-emp-not-inc,192413, Prof-school,15, Divorced, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, <=50K\n70, Self-emp-not-inc,139889, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,2653,0,70, United-States, <=50K\n27, Private,104917, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Local-gov,161478, Bachelors,13, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,46, United-States, <=50K\n30, Private,35644, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n29, Local-gov,116751, Assoc-voc,11, Divorced, Protective-serv, Unmarried, White, Male,0,0,56, United-States, <=50K\n18, Private,238867, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,1602,40, United-States, <=50K\n31, Private,265706, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n39, State-gov,179668, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,70, United-States, <=50K\n21, Private,57951, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n31, Private,176711, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, <=50K\n33, Local-gov,368675, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,216149, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, >50K\n29, Private,173851, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,90705, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,1485,40, United-States, <=50K\n52, State-gov,216342, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K\n35, Private,140752, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K\n33, Private,116508, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, ?,224361, 9th,5, Divorced, ?, Unmarried, White, Female,0,0,5, Cuba, <=50K\n43, Private,180303, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K\n66, ?,196736, 1st-4th,2, Never-married, ?, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n51, Local-gov,110327, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,185607, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n17, Local-gov,244856, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Private,198068, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,97136, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n19, Self-emp-inc,164658, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K\n54, Private,235693, 11th,7, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K\n45, Private,197038, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n47, Local-gov,97419, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,208872, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1672,98, United-States, <=50K\n32, Private,205528, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Self-emp-inc,146042, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n39, Self-emp-inc,222641, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-inc,376936, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n42, Local-gov,138077, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,38, United-States, >50K\n24, Private,155913, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, <=50K\n45, Private,36006, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n19, Private,214678, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n46, Private,369538, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,166565, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,257043, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K\n47, Self-emp-inc,181130, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n69, ?,254834, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,10605,0,10, United-States, >50K\n43, Self-emp-not-inc,38876, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,187073, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Federal-gov,156996, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,2415,55, ?, >50K\n90, Private,313749, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K\n41, Private,331651, Prof-school,15, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, Japan, >50K\n24, Private,243368, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, Mexico, <=50K\n24, Private,32921, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K\n24, Private,117167, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,53, United-States, <=50K\n35, Private,401930, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1887,42, United-States, >50K\n30, Private,114691, Bachelors,13, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n46, Private,99385, Bachelors,13, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Local-gov,210308, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1721,30, United-States, <=50K\n39, Private,252327, 9th,5, Separated, Craft-repair, Own-child, White, Male,0,0,35, Mexico, <=50K\n43, Private,90582, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,190194, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Private,264188, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K\n34, Private,243776, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n41, Private,67065, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n24, Self-emp-not-inc,204209, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K\n24, Private,226668, HS-grad,9, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0,0,35, United-States, <=50K\n34, Self-emp-inc,174215, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,4787,0,45, France, >50K\n33, Private,315143, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Cuba, >50K\n37, Private,118681, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,38, Puerto-Rico, <=50K\n39, Self-emp-not-inc,208109, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n58, Private,116901, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n36, Self-emp-not-inc,405644, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Mexico, <=50K\n33, Federal-gov,293550, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,4064,0,40, United-States, <=50K\n42, Local-gov,328581, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n31, Private,217962, Some-college,10, Never-married, Protective-serv, Other-relative, Black, Male,0,0,40, ?, <=50K\n57, Private,158827, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n67, Federal-gov,65475, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,159709, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,140474, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n43, Private,144778, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, Italy, >50K\n39, Self-emp-not-inc,83242, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n36, Private,143385, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Local-gov,167544, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Female,0,0,13, United-States, <=50K\n25, Private,122175, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Private,378747, 10th,6, Separated, Transport-moving, Unmarried, Black, Male,0,0,45, United-States, >50K\n24, Private,230475, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n50, Self-emp-inc,120781, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,60, South, >50K\n70, Private,206232, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n61, Private,298400, Bachelors,13, Divorced, Sales, Not-in-family, Black, Male,4787,0,48, United-States, >50K\n51, Federal-gov,163671, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, <=50K\n38, Self-emp-not-inc,140583, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n51, Private,137253, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K\n28, Private,246974, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,182470, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, >50K\n57, Self-emp-inc,107617, HS-grad,9, Separated, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, >50K\n44, Self-emp-inc,116358, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, ?, >50K\n29, Private,250819, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,196508, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n42, Private,367533, 10th,6, Married-civ-spouse, Craft-repair, Own-child, Other, Male,0,0,43, United-States, >50K\n74, Private,188709, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n50, Private,271160, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Private,173674, HS-grad,9, Divorced, Other-service, Other-relative, White, Female,0,0,14, United-States, <=50K\n64, ?,257790, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,38, United-States, <=50K\n44, Private,322391, 11th,7, Separated, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n34, Private,209691, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386,0,50, United-States, >50K\n17, Private,104232, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n17, ?,86786, 10th,6, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Private,88233, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n32, Private,240888, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n54, Private,169719, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,3103,0,40, United-States, >50K\n20, Private,129240, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n23, Private,160968, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K\n34, Private,236861, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K\n30, Private,109282, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n32, Private,215047, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,115932, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Ireland, >50K\n28, Private,55360, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n44, Private,224658, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n29, Local-gov,376302, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,35, Nicaragua, >50K\n28, Private,183597, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,594,0,50, Germany, <=50K\n37, Private,115289, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-inc,258883, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,69132, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,207301, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,20, United-States, <=50K\n37, Private,179671, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,140456, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,327397, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K\n60, Private,200235, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,108435, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,2829,0,30, United-States, <=50K\n47, Private,195978, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,329144, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, >50K\n48, Self-emp-inc,250674, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n57, ?,176897, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K\n50, Self-emp-inc,132716, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, >50K\n62, Private,174201, 9th,5, Widowed, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K\n45, Private,167617, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n55, Local-gov,254949, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,319582, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K\n25, Private,248990, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Guatemala, <=50K\n49, Private,144396, 11th,7, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n32, State-gov,200469, Some-college,10, Never-married, Protective-serv, Unmarried, Black, Female,3887,0,40, United-States, <=50K\n25, Federal-gov,55636, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n39, Private,185624, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n27, Local-gov,125442, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n43, Private,160943, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, >50K\n30, Private,243841, HS-grad,9, Divorced, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, South, <=50K\n21, Private,34616, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n33, Private,235847, Prof-school,15, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n33, Private,174789, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n33, Private,280111, 11th,7, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K\n70, Private,236055, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n25, Private,237865, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,42, United-States, <=50K\n17, Private,194612, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n20, Private,173851, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,372483, Some-college,10, Never-married, Other-service, Other-relative, Black, Male,0,0,35, United-States, <=50K\n71, Federal-gov,422149, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,40, United-States, >50K\n31, Private,174201, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,272618, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n52, Private,74660, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,201481, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,175232, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n25, Private,336440, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,46645, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,9, United-States, <=50K\n48, State-gov,31141, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,40, United-States, >50K\n53, Private,281425, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n30, Self-emp-not-inc,31510, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n44, Private,310255, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n32, Federal-gov,82393, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,56, United-States, >50K\n59, Self-emp-not-inc,190514, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n49, Private,165513, Some-college,10, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K\n65, ?,178931, HS-grad,9, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male,3818,0,40, United-States, <=50K\n31, Private,226696, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n53, Private,195813, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Other, Male,5178,0,40, Puerto-Rico, >50K\n44, Private,165815, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,123983, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,55, Japan, >50K\n36, Private,235371, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,147258, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n63, ?,222289, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,7688,0,54, United-States, >50K\n67, Self-emp-inc,171564, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,20051,0,30, England, >50K\n29, Private,255949, Bachelors,13, Never-married, Sales, Unmarried, Black, Male,0,0,40, United-States, <=50K\n52, Private,186272, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,282872, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1628,40, United-States, <=50K\n21, Private,111676, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,199501, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,38, United-States, <=50K\n24, Private,151443, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Female,0,0,30, United-States, <=50K\n31, Private,145935, HS-grad,9, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, United-States, <=50K\n54, Federal-gov,230387, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n44, Private,127592, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,210828, Some-college,10, Never-married, Handlers-cleaners, Own-child, Other, Male,0,0,30, United-States, <=50K\n41, Private,297186, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, <=50K\n37, Self-emp-inc,116554, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,70, United-States, <=50K\n30, Private,144593, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, ?, <=50K\n26, State-gov,147719, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,20, India, <=50K\n68, Self-emp-not-inc,89011, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, Canada, <=50K\n31, Private,38158, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,178686, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n80, ?,172826, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n26, Private,155752, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n63, Private,100099, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,231688, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K\n30, ?,147215, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n42, Self-emp-inc,50122, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n64, Federal-gov,86837, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n32, Private,113364, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,289390, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, <=50K\n73, Private,77884, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n32, Private,390157, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n53, Private,89587, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,45, United-States, >50K\n58, Private,234328, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,365430, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n24, Private,410439, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,15, United-States, <=50K\n53, Private,129525, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,166527, Some-college,10, Never-married, Exec-managerial, Own-child, Other, Female,0,0,40, United-States, <=50K\n42, ?,109912, Assoc-acdm,12, Never-married, ?, Other-relative, White, Female,0,0,40, United-States, <=50K\n30, Private,210906, HS-grad,9, Married-civ-spouse, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K\n38, Private,405284, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n28, Private,138269, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,25429, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n45, Private,231672, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n26, Private,258550, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,268147, 9th,5, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,54411, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, ?, <=50K\n54, Private,37289, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, >50K\n23, Private,157951, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n43, Self-emp-inc,225165, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n37, Private,238049, 9th,5, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,30, El-Salvador, <=50K\n31, Private,197252, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n56, Self-emp-inc,216636, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1651,40, United-States, <=50K\n25, Private,183575, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Private,19752, 11th,7, Never-married, Other-service, Own-child, Black, Female,0,0,25, United-States, <=50K\n37, Private,103925, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,68, United-States, <=50K\n60, Private,31577, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n59, Federal-gov,61298, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n59, Federal-gov,190541, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n46, Self-emp-not-inc,366089, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n28, ?,389857, HS-grad,9, Married-civ-spouse, ?, Other-relative, White, Male,0,0,16, United-States, <=50K\n33, ?,192644, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,216129, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,1408,50, United-States, <=50K\n29, Private,51944, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,4386,0,40, United-States, >50K\n33, Self-emp-not-inc,67482, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,99, United-States, <=50K\n29, ?,108775, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Dominican-Republic, <=50K\n23, State-gov,279243, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,278391, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, Nicaragua, <=50K\n60, Private,349898, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,44, United-States, <=50K\n44, Private,219441, 10th,6, Never-married, Sales, Unmarried, Other, Female,0,0,35, Dominican-Republic, <=50K\n18, Private,173255, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,1055,0,25, United-States, <=50K\n52, Federal-gov,29623, 12th,8, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Private,217460, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n30, Private,163604, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,55, United-States, >50K\n33, Private,163110, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3781,0,40, United-States, <=50K\n20, Private,238685, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K\n27, ?,251854, Bachelors,13, Married-civ-spouse, ?, Wife, Black, Female,0,0,35, ?, >50K\n33, Private,213308, Assoc-voc,11, Separated, Adm-clerical, Own-child, Black, Female,0,0,50, United-States, <=50K\n25, Private,193773, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n63, Private,114011, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Female,0,0,20, United-States, <=50K\n63, Self-emp-not-inc,52144, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K\n43, Private,347934, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n58, Private,293399, 11th,7, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n70, ?,118630, Assoc-voc,11, Widowed, ?, Unmarried, White, Female,0,0,35, United-States, <=50K\n35, Private,127306, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,14344,0,40, United-States, >50K\n42, Private,366180, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n20, Local-gov,188950, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,25, United-States, <=50K\n35, Private,189382, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n62, Private,24515, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,283116, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,1506,0,50, United-States, <=50K\n43, Self-emp-not-inc,182217, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, <=50K\n19, Private,552354, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,163021, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Private,61885, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n36, Self-emp-not-inc,182898, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n45, Private,183092, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n48, Private,30289, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n29, Private,77572, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n48, State-gov,118330, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K\n36, Private,469056, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K\n58, Private,145574, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,302041, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n59, Private,32552, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,4, United-States, <=50K\n42, Private,185413, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n33, Federal-gov,26543, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n23, Federal-gov,163870, Some-college,10, Never-married, Armed-Forces, Other-relative, White, Male,0,0,40, United-States, <=50K\n21, Private,240063, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n48, Private,208748, 5th-6th,3, Divorced, Machine-op-inspct, Unmarried, Other, Female,0,0,40, Dominican-Republic, <=50K\n32, Local-gov,84119, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,84130, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n66, Local-gov,261062, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Local-gov,336010, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,32, United-States, <=50K\n52, Private,389270, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n17, Private,138293, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n35, Private,240389, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, >50K\n39, Private,190297, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,55, United-States, >50K\n21, ?,170070, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,10, United-States, <=50K\n24, Private,149457, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,81534, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,84, Japan, >50K\n25, Private,378322, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,2001,50, United-States, <=50K\n29, Federal-gov,196912, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n56, Private,116143, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,44, United-States, >50K\n34, Self-emp-not-inc,80933, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n64, Local-gov,190660, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n27, Private,120155, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,39, United-States, <=50K\n47, Private,167159, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n36, Private,58343, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,3103,0,42, United-States, >50K\n44, Federal-gov,161240, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,126402, HS-grad,9, Never-married, Farming-fishing, Not-in-family, Black, Female,0,0,60, United-States, <=50K\n23, Private,148709, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K\n45, Local-gov,318280, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n31, Local-gov,80058, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,64, United-States, <=50K\n45, Private,274689, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n42, Private,157367, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, ?, <=50K\n33, Private,217460, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n33, Local-gov,33727, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,166961, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n25, Private,146117, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,42, United-States, <=50K\n33, Private,160216, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,32, ?, <=50K\n70, Self-emp-not-inc,124449, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2246,8, United-States, >50K\n22, Private,50163, 9th,5, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,235271, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,121124, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n43, Self-emp-not-inc,144218, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n37, Private,94334, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,25, United-States, <=50K\n59, Self-emp-inc,169982, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n51, Self-emp-not-inc,35295, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,45, United-States, <=50K\n47, Private,133969, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,2885,0,65, Japan, <=50K\n36, Private,35429, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n73, Local-gov,205580, 5th-6th,3, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,6, United-States, <=50K\n32, Local-gov,177794, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,167474, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n51, Local-gov,35211, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n20, Private,117244, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,45, United-States, <=50K\n57, Private,194850, Some-college,10, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, Mexico, <=50K\n19, Private,144911, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n45, Private,197240, 12th,8, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n55, Private,101338, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n60, Private,148522, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n19, Private,97261, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,166606, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,229414, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K\n34, Local-gov,209213, Bachelors,13, Never-married, Prof-specialty, Other-relative, Black, Male,0,0,15, United-States, <=50K\n26, Private,291968, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K\n73, Federal-gov,127858, Some-college,10, Widowed, Tech-support, Not-in-family, White, Female,3273,0,40, United-States, <=50K\n27, Private,302406, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n37, Self-emp-not-inc,29054, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,84, United-States, <=50K\n73, Self-emp-not-inc,336007, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n46, Federal-gov,349230, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,1848,40, United-States, >50K\n36, Local-gov,101481, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,46704, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n49, Private,233639, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n68, Local-gov,31725, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,54850, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1590,50, United-States, <=50K\n30, Private,293512, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n28, Private,375655, Bachelors,13, Never-married, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K\n28, Private,105817, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n25, Local-gov,203408, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,162302, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n40, Private,163455, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,55, United-States, >50K\n32, Local-gov,100135, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, ?,41517, 11th,7, Married-spouse-absent, ?, Unmarried, Black, Female,0,0,20, United-States, <=50K\n18, Private,102182, 12th,8, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,30, United-States, <=50K\n36, Private,414683, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K\n26, Private,194352, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Private,194096, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Female,0,0,45, United-States, <=50K\n90, Local-gov,153602, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,6767,0,40, United-States, <=50K\n20, Private,215495, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K\n27, Private,164607, Bachelors,13, Separated, Tech-support, Own-child, White, Male,0,0,50, United-States, <=50K\n58, Local-gov,34878, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n37, Private,126569, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n65, ?,315728, HS-grad,9, Widowed, ?, Unmarried, White, Female,2329,0,75, United-States, <=50K\n28, Private,22422, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,178222, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n45, Local-gov,56841, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,300275, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K\n69, Local-gov,197288, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n58, Self-emp-not-inc,157786, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,110684, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n58, Self-emp-not-inc,140729, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n53, Federal-gov,90127, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K\n44, Self-emp-inc,37997, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,61308, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,171199, Bachelors,13, Divorced, Machine-op-inspct, Unmarried, Other, Female,0,0,40, Puerto-Rico, <=50K\n48, Private,128432, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n46, Federal-gov,195023, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,122473, 9th,5, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,625,40, United-States, <=50K\n43, Private,171888, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Self-emp-inc,183784, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n20, Private,219262, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,71379, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n19, ?,234519, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K\n35, Private,96824, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,242597, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, ?,127388, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,204536, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n54, Private,143804, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,80680, Some-college,10, Married-civ-spouse, Sales, Own-child, White, Female,0,0,16, United-States, <=50K\n36, Private,301227, 5th-6th,3, Separated, Priv-house-serv, Unmarried, Other, Female,0,0,35, Mexico, <=50K\n26, Self-emp-not-inc,201930, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n25, Local-gov,176616, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,353219, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,126076, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Female,0,0,50, United-States, <=50K\n31, Private,156493, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Federal-gov,435503, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n52, Self-emp-inc,561489, Masters,14, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,50, United-States, <=50K\n22, Federal-gov,100345, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,43, United-States, <=50K\n18, Private,36275, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,25, United-States, <=50K\n46, Private,110794, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Local-gov,143766, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Federal-gov,76313, HS-grad,9, Married-civ-spouse, Armed-Forces, Other-relative, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K\n31, Private,121308, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,216672, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,89942, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,3674,0,45, United-States, <=50K\n45, State-gov,103406, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K\n30, State-gov,158291, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,455361, 9th,5, Never-married, Other-service, Unmarried, White, Male,0,0,35, Mexico, <=50K\n44, Private,225263, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,1408,46, United-States, <=50K\n54, Private,225307, 11th,7, Divorced, Craft-repair, Own-child, White, Female,0,0,50, United-States, >50K\n36, Private,286115, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,187830, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n26, Private,142506, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K\n47, Local-gov,148576, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n36, Private,185325, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,37, United-States, <=50K\n32, Self-emp-not-inc,27939, Some-college,10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n21, Private,383603, 10th,6, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n30, Private,140790, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n34, Private,226629, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n51, Private,228516, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,45, Columbia, <=50K\n55, Self-emp-not-inc,119762, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n43, Private,299197, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,149297, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K\n28, Local-gov,202558, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,175232, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n35, Self-emp-not-inc,157473, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, ?,409842, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n26, Private,105787, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,36, United-States, <=50K\n68, Private,144056, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,3818,0,40, United-States, <=50K\n46, Private,45363, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,2824,40, United-States, >50K\n21, Private,205838, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,37, United-States, <=50K\n23, Private,115326, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n17, Private,186890, 10th,6, Married-civ-spouse, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n23, Local-gov,304386, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,24529, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Male,0,0,15, United-States, <=50K\n33, Private,183557, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,342730, Assoc-acdm,12, Separated, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n31, ?,182191, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,4064,0,30, Canada, <=50K\n56, Self-emp-not-inc,67841, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,351381, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Private,293691, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,1590,40, Japan, <=50K\n41, Self-emp-inc,220821, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n26, Private,190027, 10th,6, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,30, United-States, <=50K\n41, Private,343944, 11th,7, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Self-emp-inc,110457, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n47, State-gov,72333, HS-grad,9, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,193494, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,334999, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n44, Self-emp-not-inc,274363, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n58, Self-emp-inc,113806, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,30, United-States, >50K\n25, Private,52536, Assoc-acdm,12, Divorced, Tech-support, Own-child, White, Female,0,1594,25, United-States, <=50K\n44, Private,187720, Assoc-voc,11, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n57, Private,104996, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K\n24, Private,214555, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,52963, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n33, Private,190511, 7th-8th,4, Divorced, Handlers-cleaners, Not-in-family, White, Male,2176,0,35, United-States, <=50K\n25, Private,75821, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n33, Private,123291, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,84, United-States, >50K\n50, Local-gov,226497, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, >50K\n35, Private,282979, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,5178,0,50, United-States, >50K\n36, Private,166549, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,55, United-States, >50K\n27, Private,187746, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,157145, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n30, Private,227551, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n90, Private,115306, Masters,14, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,169249, HS-grad,9, Separated, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K\n34, State-gov,221966, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n39, Private,224566, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n19, Private,28119, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,4, United-States, <=50K\n19, Private,323810, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,210498, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,174995, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,2290,0,30, Hungary, <=50K\n38, Private,161141, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K\n44, Private,210534, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n34, Self-emp-not-inc,112650, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n35, State-gov,318891, Assoc-acdm,12, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Local-gov,375655, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,228465, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n33, ?,102130, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n73, Private,183213, Assoc-voc,11, Widowed, Prof-specialty, Not-in-family, White, Male,25124,0,60, United-States, >50K\n35, Local-gov,177305, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2377,40, United-States, <=50K\n41, Private,34037, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,116613, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,50, United-States, <=50K\n25, Private,175540, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n47, Private,150768, Bachelors,13, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,1564,51, United-States, >50K\n36, Private,176634, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,35, United-States, >50K\n36, Private,209993, 1st-4th,2, Widowed, Other-service, Other-relative, White, Female,0,0,20, Mexico, <=50K\n25, Local-gov,206002, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,201259, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K\n26, Local-gov,202286, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,96062, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1740,40, United-States, <=50K\n36, Local-gov,578377, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n30, Private,509500, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,4787,0,45, United-States, >50K\n53, Local-gov,324021, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,107737, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n41, State-gov,129865, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n53, Private,103586, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,55, United-States, <=50K\n23, Private,187513, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,32, United-States, <=50K\n28, Private,172891, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n53, Local-gov,207449, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,209103, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, >50K\n33, Private,408813, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n27, Private,209292, HS-grad,9, Never-married, Sales, Other-relative, Black, Female,0,0,32, Dominican-Republic, <=50K\n52, Private,144361, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n31, Private,209538, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, <=50K\n27, Private,244402, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n44, Private,889965, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,3137,0,30, United-States, <=50K\n37, Self-emp-not-inc,298444, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,163237, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n18, Private,311795, 12th,8, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n42, Private,155972, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,291783, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,153535, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,36, United-States, <=50K\n43, Private,249771, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,99, United-States, <=50K\n43, Private,462180, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K\n31, Private,308540, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,34701, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Federal-gov,106252, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,138944, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n37, Private,140713, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, Jamaica, >50K\n53, Local-gov,216931, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,4386,0,40, United-States, >50K\n26, Private,162312, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,20, Philippines, <=50K\n59, Self-emp-inc,253062, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n36, Federal-gov,359249, Some-college,10, Separated, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n32, Private,231413, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n53, Local-gov,197054, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,130931, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n35, Private,30565, HS-grad,9, Married-AF-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K\n48, Private,105138, HS-grad,9, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n30, Local-gov,178383, Some-college,10, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n38, Private,241998, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n58, Self-emp-not-inc,196403, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,10, United-States, >50K\n44, Private,232421, HS-grad,9, Married-spouse-absent, Transport-moving, Not-in-family, Other, Male,0,0,32, Canada, <=50K\n30, Private,130369, Assoc-voc,11, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n68, Self-emp-not-inc,336329, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, <=50K\n26, Local-gov,337867, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n26, Local-gov,104614, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Private,223548, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n43, State-gov,506329, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024,0,40, ?, >50K\n48, Private,64479, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,47, United-States, <=50K\n55, Private,284095, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,37, United-States, <=50K\n50, Self-emp-not-inc,221336, Some-college,10, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, ?, <=50K\n41, Private,428499, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,50, United-States, >50K\n52, Private,208302, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,36, United-States, <=50K\n24, ?,412156, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, Mexico, <=50K\n31, Self-emp-not-inc,182177, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n54, Local-gov,129972, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, >50K\n31, Self-emp-not-inc,186420, Masters,14, Separated, Tech-support, Not-in-family, White, Female,0,0,25, United-States, <=50K\n31, Self-emp-inc,203488, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n47, Private,128796, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,55395, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n46, State-gov,314770, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K\n45, Private,135044, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,319248, 10th,6, Never-married, Other-service, Unmarried, White, Female,0,0,25, Mexico, <=50K\n34, Local-gov,236415, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,18, United-States, <=50K\n48, ?,151584, Some-college,10, Never-married, ?, Not-in-family, White, Male,8614,0,60, United-States, >50K\n19, ?,133983, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n56, Private,81220, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Canada, <=50K\n47, Private,151087, HS-grad,9, Separated, Prof-specialty, Other-relative, Other, Female,0,0,40, Puerto-Rico, <=50K\n35, Private,322171, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K\n25, Private,190628, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Columbia, <=50K\n43, Local-gov,106982, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n59, Private,227856, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,37, United-States, >50K\n66, ?,213477, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,10, United-States, <=50K\n63, Private,266083, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n32, Private,257068, Some-college,10, Married-spouse-absent, Transport-moving, Not-in-family, White, Female,0,0,37, United-States, <=50K\n58, ?,37591, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-inc,150533, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0,0,50, United-States, >50K\n27, Private,211184, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,52, United-States, <=50K\n21, Private,136610, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,32, United-States, <=50K\n44, Federal-gov,244054, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, >50K\n40, Self-emp-not-inc,240698, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n65, Private,172906, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, Private,238959, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n18, ?,163085, HS-grad,9, Separated, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n51, State-gov,172022, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n44, Federal-gov,218062, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n20, Private,201799, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,13, United-States, <=50K\n29, Private,150717, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,94391, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n50, Local-gov,153064, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K\n43, Private,156771, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,216639, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,82161, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n30, ?,159159, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,30, United-States, <=50K\n58, Self-emp-not-inc,310014, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K\n50, State-gov,133014, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,36214, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, >50K\n21, Private,399022, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,24, United-States, <=50K\n33, Private,179758, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,20, United-States, <=50K\n52, Private,48947, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n47, Private,201865, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,319122, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,14084,0,45, United-States, >50K\n34, Private,155151, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,24106, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Philippines, >50K\n31, Private,257863, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K\n19, ?,28967, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,379393, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,45, United-States, <=50K\n45, Self-emp-not-inc,152752, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,3, United-States, <=50K\n34, Private,154874, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,4416,0,30, United-States, <=50K\n27, Private,154210, 11th,7, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Male,0,0,35, India, <=50K\n37, Private,335716, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,94744, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K\n32, Private,133861, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,13550,0,48, United-States, >50K\n24, Private,240137, 1st-4th,2, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, Mexico, <=50K\n39, Private,80004, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,109702, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n62, Self-emp-not-inc,39610, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K\n24, Private,90046, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,193855, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n46, Private,206889, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n44, Private,86298, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,149650, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,2559,48, United-States, >50K\n25, Private,323139, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n44, Private,237993, Prof-school,15, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, ?, <=50K\n24, Private,36058, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n61, Private,163393, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n45, Local-gov,93535, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,112952, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,48, United-States, <=50K\n48, Private,182541, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K\n26, Local-gov,73392, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K\n40, ?,507086, HS-grad,9, Divorced, ?, Not-in-family, Black, Female,0,0,32, United-States, <=50K\n68, Private,195868, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,20051,0,40, United-States, >50K\n24, Private,276851, HS-grad,9, Divorced, Protective-serv, Own-child, White, Female,0,1762,40, United-States, <=50K\n25, ?,39901, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K\n31, Local-gov,33124, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n55, Private,419732, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K\n46, Private,171095, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,0,0,38, United-States, <=50K\n58, Private,199278, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,38, United-States, <=50K\n56, Private,235205, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Federal-gov,168232, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,55, United-States, >50K\n24, Private,145964, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K\n35, Local-gov,72338, HS-grad,9, Divorced, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0,0,56, United-States, <=50K\n51, Private,153870, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,323798, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,55, United-States, >50K\n17, Private,198830, 11th,7, Never-married, Adm-clerical, Other-relative, White, Female,0,0,10, United-States, <=50K\n21, Private,267040, 10th,6, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n45, Private,167187, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n42, Private,230684, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,5178,0,50, United-States, >50K\n56, Private,659558, 12th,8, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n39, Private,181661, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,186144, 7th-8th,4, Never-married, Machine-op-inspct, Not-in-family, Other, Female,0,0,40, Mexico, <=50K\n20, Federal-gov,178517, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n65, Self-emp-not-inc,131417, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,1797,0,21, United-States, <=50K\n44, Private,57233, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n33, Private,379798, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,122175, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n38, Private,107302, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n31, Local-gov,127651, 10th,6, Never-married, Transport-moving, Other-relative, White, Male,0,1741,40, United-States, <=50K\n33, Self-emp-not-inc,102884, Bachelors,13, Married-civ-spouse, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n49, Self-emp-not-inc,241753, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,173611, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,232666, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,352207, Assoc-voc,11, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n37, Self-emp-not-inc,241998, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,5, United-States, >50K\n52, Private,279129, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,37, United-States, >50K\n27, Private,177057, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,155659, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,55, United-States, >50K\n21, Private,251603, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Federal-gov,19914, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K\n61, Private,115023, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,101709, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n21, Private,313702, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n63, Private,250068, 12th,8, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,227359, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,42, United-States, <=50K\n21, State-gov,196827, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Male,0,0,10, United-States, <=50K\n44, Private,118550, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,33, United-States, <=50K\n26, Private,285004, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,35, South, <=50K\n36, Private,280169, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n39, Private,144608, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, >50K\n52, Private,76860, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,8, Philippines, <=50K\n44, Self-emp-not-inc,167280, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,334783, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n60, ?,141580, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,226443, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,366065, Some-college,10, Never-married, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n23, Private,225724, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K\n81, State-gov,132204, 1st-4th,2, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n39, Private,258276, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,3137,0,40, ?, <=50K\n38, Private,197711, 10th,6, Divorced, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Portugal, <=50K\n21, Private,30619, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n28, Local-gov,335015, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,61272, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,106544, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,144169, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,40295, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,99, United-States, <=50K\n56, Private,266091, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,2907,0,52, Cuba, <=50K\n57, Private,143030, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,30, ?, <=50K\n42, State-gov,192397, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K\n43, Private,114351, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n48, ?,63466, HS-grad,9, Married-spouse-absent, ?, Unmarried, White, Female,0,0,32, United-States, <=50K\n53, Private,132304, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Scotland, <=50K\n58, Private,128162, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K\n19, Private,125938, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,40, El-Salvador, <=50K\n37, Private,170174, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,46, United-States, >50K\n41, Self-emp-not-inc,203451, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K\n31, Private,109917, 7th-8th,4, Separated, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,114937, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n53, Local-gov,231196, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,238474, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K\n56, Private,314149, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n55, Federal-gov,31728, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n51, Private,360131, 5th-6th,3, Married-civ-spouse, Craft-repair, Other-relative, White, Female,0,0,40, United-States, <=50K\n62, Private,141308, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,83411, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n45, ?,119835, 7th-8th,4, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K\n28, Local-gov,296537, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n46, Private,193047, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n62, State-gov,39630, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n57, Local-gov,213975, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n60, Local-gov,259803, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n23, Federal-gov,55465, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,181307, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,99999,0,60, United-States, >50K\n21, Private,211301, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,8, United-States, <=50K\n51, Private,200450, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, <=50K\n61, Local-gov,176731, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,140985, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,99999,0,30, United-States, >50K\n76, Private,125784, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,152176, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,39, United-States, <=50K\n31, Self-emp-not-inc,111423, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n43, Private,130126, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n58, Federal-gov,30111, Some-college,10, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n18, ?,214989, Some-college,10, Never-married, ?, Own-child, White, Female,0,1602,24, United-States, <=50K\n19, Private,272800, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n44, Private,195881, Some-college,10, Divorced, Exec-managerial, Other-relative, White, Female,0,0,45, United-States, <=50K\n41, Local-gov,170924, Some-college,10, Never-married, Prof-specialty, Other-relative, White, Male,0,0,7, United-States, <=50K\n21, Private,131473, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,20, Vietnam, <=50K\n40, Private,149466, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n25, Private,190418, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, Canada, <=50K\n62, Local-gov,167889, Doctorate,16, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, Iran, <=50K\n42, Private,177989, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,186035, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,195805, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K\n60, Private,54800, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n20, Private,100605, HS-grad,9, Never-married, Sales, Own-child, Other, Male,0,0,40, Puerto-Rico, <=50K\n23, Private,253190, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, United-States, <=50K\n18, Private,203301, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,175696, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n19, Private,278304, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n51, Private,93193, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Local-gov,158688, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K\n18, Private,327612, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Private,210844, Some-college,10, Married-spouse-absent, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n27, Private,147340, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n71, Self-emp-not-inc,130436, 1st-4th,2, Divorced, Craft-repair, Not-in-family, White, Female,0,0,28, United-States, <=50K\n25, Private,206600, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, El-Salvador, <=50K\n73, Private,284680, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n45, Private,127738, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,213412, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,287927, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,16, United-States, <=50K\n44, Private,249332, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Ecuador, <=50K\n44, Local-gov,290403, Assoc-voc,11, Divorced, Protective-serv, Own-child, White, Female,0,0,40, Cuba, <=50K\n49, Private,54772, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,45, United-States, >50K\n44, Self-emp-inc,56651, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, United-States, >50K\n42, Federal-gov,178470, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,62865, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,45, United-States, <=50K\n66, Private,107196, HS-grad,9, Widowed, Tech-support, Not-in-family, White, Female,0,0,18, United-States, <=50K\n19, Private,86860, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,15, United-States, <=50K\n60, Private,130684, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n46, Private,164682, Assoc-voc,11, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,198316, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n59, Private,261816, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,52, Outlying-US(Guam-USVI-etc), <=50K\n58, Private,280309, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,60, United-States, >50K\n47, Private,97176, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n58, Private,95835, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,36, United-States, <=50K\n69, ?,323016, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,99999,0,40, United-States, >50K\n17, ?,280670, 10th,6, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,136306, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,24, United-States, <=50K\n28, Private,65171, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,70, United-States, <=50K\n37, Private,25864, HS-grad,9, Separated, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n30, Private,149531, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,33887, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,172822, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,2824,76, United-States, >50K\n59, Private,106748, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,99, United-States, <=50K\n45, Private,131826, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n53, Local-gov,216691, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,10520,0,40, United-States, >50K\n37, Private,133328, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,164737, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Local-gov,99064, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, State-gov,59460, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, <=50K\n27, Private,208725, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,138513, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,121055, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,149784, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,114495, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n34, ?,133278, 12th,8, Separated, ?, Unmarried, Black, Female,0,0,53, United-States, <=50K\n32, Private,212276, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n32, Private,440129, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, Mexico, <=50K\n47, Private,98012, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, United-States, >50K\n27, Private,145284, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,177147, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,141537, 10th,6, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,48093, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,92, United-States, <=50K\n23, Local-gov,314819, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,123572, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n19, Private,170800, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K\n42, Private,332401, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,193038, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,15, United-States, <=50K\n41, Private,351161, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1848,45, United-States, >50K\n45, Federal-gov,106910, HS-grad,9, Never-married, Transport-moving, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n67, ?,163726, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,49, United-States, <=50K\n36, Self-emp-not-inc,609935, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,48, ?, <=50K\n52, State-gov,314627, Masters,14, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n28, Private,115945, Doctorate,16, Never-married, Adm-clerical, Own-child, White, Male,0,0,18, United-States, <=50K\n83, Self-emp-inc,272248, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K\n17, Private,167878, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n27, Private,176972, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,31095, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K\n40, Private,130834, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,207415, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,0,0,25, United-States, <=50K\n51, Local-gov,264457, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n51, Private,340588, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,54, Mexico, <=50K\n82, ?,42435, 10th,6, Widowed, ?, Not-in-family, White, Male,0,0,20, United-States, <=50K\n28, Private,107411, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n53, Private,290640, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, Germany, >50K\n29, Private,106179, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, Canada, <=50K\n19, Private,247679, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n30, Private,171598, Bachelors,13, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n23, Private,234460, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, Dominican-Republic, <=50K\n66, Private,196674, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, >50K\n27, Private,182540, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,172694, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n17, Private,29571, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n27, Private,130438, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,213421, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n44, Local-gov,189956, Bachelors,13, Married-civ-spouse, Protective-serv, Wife, Black, Female,15024,0,40, United-States, >50K\n64, Private,133144, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, United-States, <=50K\n62, Self-emp-inc,24050, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n26, Private,276967, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,184857, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n40, Private,145160, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,192251, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,190650, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K\n52, Local-gov,255927, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,24, United-States, <=50K\n46, Private,99086, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n30, Private,216811, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n52, Private,110563, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,120471, HS-grad,9, Never-married, Transport-moving, Not-in-family, Other, Male,0,0,40, United-States, <=50K\n17, Private,183066, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n46, State-gov,298786, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n45, Private,297884, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n21, Private,253612, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,1055,0,32, United-States, <=50K\n18, Self-emp-not-inc,207438, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n17, Private,148522, 11th,7, Never-married, Other-service, Own-child, White, Male,0,1721,15, United-States, <=50K\n90, Private,139660, Some-college,10, Divorced, Sales, Unmarried, Black, Female,0,0,37, United-States, <=50K\n23, Private,165474, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,120277, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n19, Self-emp-not-inc,67929, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K\n69, Private,229418, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n23, Federal-gov,41356, Assoc-acdm,12, Never-married, Exec-managerial, Unmarried, White, Female,0,0,32, United-States, <=50K\n28, Private,185127, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,54, United-States, <=50K\n37, Private,109133, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1977,45, United-States, >50K\n57, Private,148315, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n30, Local-gov,145692, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,1974,40, United-States, <=50K\n48, Private,210424, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,914,0,40, United-States, <=50K\n73, Private,198526, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,0,32, United-States, <=50K\n25, Private,521400, 5th-6th,3, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K\n33, Private,100882, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n36, Private,124818, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,190836, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,40, United-States, <=50K\n57, Private,71367, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,303032, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n35, ?,98989, 9th,5, Divorced, ?, Own-child, Amer-Indian-Eskimo, Male,0,0,38, United-States, <=50K\n40, State-gov,390781, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,48, United-States, <=50K\n32, Private,54782, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n35, ?,202683, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,213081, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, Jamaica, <=50K\n27, Self-emp-inc,89718, Some-college,10, Separated, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n17, Private,225106, 10th,6, Never-married, Other-service, Own-child, White, Female,0,1602,18, United-States, <=50K\n29, Private,253262, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,78181, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n20, Private,158206, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n69, ?,337720, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K\n18, State-gov,391257, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Private,134756, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n40, Private,183404, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,8, United-States, <=50K\n46, Private,192793, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,203943, 12th,8, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, ?, <=50K\n53, Private,89400, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, Private,237868, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,139187, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n40, Private,126701, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n54, Self-emp-inc,172175, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,164210, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Local-gov,608184, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K\n17, ?,198797, 11th,7, Never-married, ?, Own-child, White, Male,0,0,20, Peru, <=50K\n50, Local-gov,425804, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n22, ?,117618, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K\n30, Private,119164, Bachelors,13, Never-married, Other-service, Unmarried, White, Male,0,0,40, ?, <=50K\n40, Self-emp-inc,92036, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, State-gov,77146, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Self-emp-not-inc,191803, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Private,54932, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,251694, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K\n22, Private,268145, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Private,104842, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,50, Haiti, <=50K\n60, Local-gov,227332, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,212512, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464,0,50, United-States, <=50K\n53, Private,133436, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, State-gov,309055, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n18, Private,59202, HS-grad,9, Never-married, Priv-house-serv, Other-relative, White, Female,0,0,10, United-States, <=50K\n36, Private,32709, Some-college,10, Divorced, Sales, Not-in-family, White, Female,3325,0,45, United-States, <=50K\n67, Self-emp-inc,73559, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,50, United-States, >50K\n31, Private,117963, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,60, United-States, <=50K\n26, Private,169121, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K\n18, Private,308889, 11th,7, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K\n45, Local-gov,144940, Masters,14, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n64, Private,102041, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,335998, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K\n53, Private,29557, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,210313, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,28, Guatemala, <=50K\n32, Private,190784, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,107597, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,14084,0,30, United-States, >50K\n59, Private,97168, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,155930, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,55, United-States, >50K\n61, Self-emp-not-inc,181033, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n41, ?,344572, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, State-gov,170165, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K\n32, Private,178835, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,118230, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n48, Private,149640, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,30271, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K\n21, Private,154165, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,35, United-States, <=50K\n50, Self-emp-not-inc,341797, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n44, Local-gov,145246, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K\n51, Private,280093, HS-grad,9, Separated, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n42, Private,373469, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,199172, Bachelors,13, Never-married, Protective-serv, Own-child, White, Female,0,0,40, United-States, <=50K\n70, Self-emp-not-inc,177199, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,3, United-States, <=50K\n33, Private,258932, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Self-emp-not-inc,139960, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,10605,0,60, United-States, >50K\n39, Private,258037, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, ?, <=50K\n32, Private,116677, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,59496, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-inc,34218, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,200246, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n64, Federal-gov,316246, Bachelors,13, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n37, Local-gov,239161, Some-college,10, Separated, Protective-serv, Own-child, Other, Male,0,0,52, United-States, <=50K\n49, Self-emp-not-inc,173411, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,259226, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K\n35, Local-gov,195516, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,200598, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1740,45, United-States, <=50K\n42, State-gov,160369, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n21, ?,415913, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,147253, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,199674, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n29, State-gov,198493, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,377121, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n21, Private,400635, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, ?, <=50K\n45, Private,513660, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, ?,175069, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K\n38, Private,82552, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,594,0,50, United-States, <=50K\n28, ?,78388, 10th,6, Never-married, ?, Own-child, White, Female,0,0,38, United-States, <=50K\n23, Private,171705, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K\n39, Self-emp-not-inc,315640, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,60, Iran, <=50K\n45, Private,266860, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n68, Private,192829, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K\n60, Federal-gov,237317, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Male,4934,0,40, United-States, >50K\n38, State-gov,110426, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, ?, >50K\n41, Private,327606, 12th,8, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n48, Private,34845, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n33, Private,58582, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,155659, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Local-gov,210029, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n26, Private,381618, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n55, Self-emp-inc,298449, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,50, United-States, >50K\n35, State-gov,226789, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,75, United-States, <=50K\n52, Private,210736, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,55, United-States, >50K\n46, State-gov,111163, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n72, ?,76860, HS-grad,9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,1, United-States, <=50K\n18, Private,92112, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n62, Local-gov,136787, HS-grad,9, Divorced, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K\n22, Private,29810, Some-college,10, Never-married, Transport-moving, Own-child, White, Female,0,0,30, United-States, <=50K\n40, Private,360884, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298,0,40, United-States, >50K\n26, Private,266022, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,142874, Assoc-acdm,12, Married-spouse-absent, Sales, Own-child, Black, Female,0,0,36, United-States, <=50K\n25, Self-emp-not-inc,72338, HS-grad,9, Never-married, Sales, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n46, ?,177305, Assoc-voc,11, Married-civ-spouse, ?, Wife, Black, Female,0,0,35, United-States, >50K\n39, Private,165106, Bachelors,13, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,1564,50, ?, >50K\n41, Private,424478, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,45, United-States, >50K\n59, Private,189721, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Italy, >50K\n37, Private,34180, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,183279, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K\n33, Private,35309, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n23, Private,259109, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, Puerto-Rico, <=50K\n67, Self-emp-not-inc,148690, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Male,18481,0,2, United-States, >50K\n60, Private,125019, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,8614,0,48, United-States, >50K\n39, Self-emp-inc,172538, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n32, Self-emp-not-inc,410615, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,60, United-States, >50K\n26, Private,322547, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n39, Private,300760, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,50, United-States, <=50K\n28, Private,232782, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,174645, 11th,7, Divorced, Craft-repair, Unmarried, White, Female,0,0,52, United-States, <=50K\n43, Private,164693, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,206861, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,25, United-States, <=50K\n32, Private,195602, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,45, United-States, >50K\n33, Self-emp-not-inc,422960, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, >50K\n45, Private,116360, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n48, Private,278530, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,188291, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K\n50, Self-emp-not-inc,163948, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n63, Private,64544, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, >50K\n55, Private,101468, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K\n22, Private,107882, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,35, United-States, <=50K\n32, Self-emp-not-inc,182691, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,60, United-States, <=50K\n27, Private,203776, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n22, Private,201268, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n44, Private,29762, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,68, United-States, <=50K\n34, Private,186346, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,196690, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,99604, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,24, United-States, >50K\n45, Private,194772, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n17, Private,95446, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n53, Self-emp-not-inc,257126, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n58, Private,194733, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-not-inc,98361, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n44, Local-gov,124924, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K\n40, Self-emp-not-inc,111971, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n58, Self-emp-not-inc,130714, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,208358, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n62, Private,147627, 9th,5, Never-married, Priv-house-serv, Not-in-family, Black, Female,1055,0,22, United-States, <=50K\n31, Private,149507, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,3464,0,38, United-States, <=50K\n31, Private,164870, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n30, Private,236861, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,1876,45, United-States, <=50K\n37, Private,220314, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K\n38, Local-gov,329980, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1876,40, Canada, <=50K\n58, Local-gov,318537, 12th,8, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,183284, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,334368, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,4650,0,40, United-States, <=50K\n46, Private,109227, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,70, United-States, <=50K\n34, Private,118551, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Self-emp-inc,163057, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,99, United-States, <=50K\n61, Self-emp-inc,253101, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n30, Self-emp-not-inc,20098, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,196227, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,175374, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,234037, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,58, United-States, <=50K\n47, Private,341762, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,33, United-States, <=50K\n20, Private,174714, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,222835, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n46, Private,251786, 1st-4th,2, Separated, Other-service, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n20, Private,164219, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K\n33, Private,251120, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n30, Private,236993, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n43, Local-gov,105896, Some-college,10, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,211527, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,60, United-States, <=50K\n34, Private,317809, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, ?, >50K\n25, Private,185287, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,31014, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n44, Private,151985, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,24, United-States, >50K\n26, Private,89389, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,406051, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,80, United-States, >50K\n48, Self-emp-not-inc,171986, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K\n26, Private,167848, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n41, Local-gov,213019, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,211424, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,168981, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, White, Female,0,0,55, United-States, <=50K\n24, Private,122348, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n31, Private,139753, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Local-gov,176178, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Female,0,0,2, United-States, <=50K\n41, Private,145220, 9th,5, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,40, Columbia, <=50K\n38, Local-gov,188612, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n19, Private,445728, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,318002, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,235722, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, ?,367984, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n67, Private,212705, Masters,14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n49, Private,411273, 10th,6, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,103986, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,203761, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n58, ?,266792, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,99999,0,40, United-States, >50K\n22, Private,116800, Assoc-acdm,12, Never-married, Protective-serv, Own-child, White, Male,0,0,60, United-States, <=50K\n21, State-gov,99199, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,10, United-States, <=50K\n50, Private,162327, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n44, Local-gov,100479, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K\n36, Local-gov,32587, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n30, Federal-gov,321990, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,48, Cuba, >50K\n52, Private,108914, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n35, Self-emp-not-inc,61343, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,90, United-States, <=50K\n48, Local-gov,81154, Assoc-voc,11, Never-married, Protective-serv, Unmarried, White, Male,0,0,48, United-States, <=50K\n23, Private,162945, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,2377,40, United-States, <=50K\n37, Private,225504, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n44, Self-emp-inc,191712, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,55, United-States, >50K\n44, Private,176063, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n36, Private,198587, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, State-gov,34965, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,12, United-States, <=50K\n31, Self-emp-inc,467108, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n23, ?,263899, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,12, England, <=50K\n29, Private,204984, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n53, Private,217568, HS-grad,9, Widowed, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n52, Private,48343, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,193130, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1887,40, United-States, >50K\n31, Private,253354, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,258026, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,16, United-States, <=50K\n64, ?,211360, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n55, Private,191367, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,148995, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n20, Private,123901, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Local-gov,117496, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298,0,30, United-States, >50K\n45, Self-emp-inc,32356, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,51, United-States, <=50K\n17, Private,206506, 10th,6, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,10, El-Salvador, <=50K\n38, Private,218729, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n43, Private,52498, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K\n22, Private,136767, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n63, Private,219540, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,114059, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n56, Private,247337, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n43, State-gov,310969, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K\n41, Private,171546, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n41, Private,217455, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,410489, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n59, Private,146391, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n46, Local-gov,165484, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K\n23, Private,184271, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K\n46, Self-emp-not-inc,231347, Some-college,10, Separated, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n53, Private,95469, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,40, United-States, >50K\n47, Private,244025, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male,0,0,56, Puerto-Rico, <=50K\n46, Federal-gov,46537, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,205730, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, >50K\n29, Private,383745, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,30, United-States, >50K\n32, Private,328199, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n90, Private,84553, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n63, Private,221072, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,49, ?, <=50K\n23, Private,123983, Assoc-voc,11, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n76, ?,191024, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n23, Private,167868, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,225879, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Other, Female,0,0,30, Mexico, >50K\n81, Self-emp-inc,247232, 10th,6, Married-civ-spouse, Exec-managerial, Wife, White, Female,2936,0,28, United-States, <=50K\n17, Private,143791, 10th,6, Never-married, Other-service, Own-child, Black, Female,0,0,12, United-States, <=50K\n56, Private,177271, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n58, Federal-gov,129786, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,31339, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,236267, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,130620, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,35, Philippines, >50K\n32, Private,208180, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,24, United-States, >50K\n25, Private,292058, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K\n29, Federal-gov,142712, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,119665, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K\n41, Private,116825, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n48, State-gov,201177, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n29, Private,118337, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n27, ?,173800, Masters,14, Never-married, ?, Unmarried, Asian-Pac-Islander, Male,0,0,20, Taiwan, <=50K\n55, Private,289257, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,190912, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,1651,40, Vietnam, <=50K\n45, Private,140581, Some-college,10, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n50, Private,174102, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, Puerto-Rico, <=50K\n22, Private,316509, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n80, Local-gov,20101, HS-grad,9, Widowed, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,32, United-States, <=50K\n30, Private,187279, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,44, United-States, <=50K\n20, Private,259496, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n29, Self-emp-not-inc,181466, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n56, Private,178202, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n63, Private,188976, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,203027, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n38, State-gov,142022, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n31, Private,119033, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,216181, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n47, Private,178341, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,46, United-States, >50K\n25, Local-gov,244408, Bachelors,13, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n31, Private,198953, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K\n28, Private,173110, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,66326, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, <=50K\n30, Local-gov,181091, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-inc,135500, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K\n27, Private,133929, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,36, ?, <=50K\n26, Private,86483, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,167787, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,208577, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,2258,50, United-States, <=50K\n43, Private,216697, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Other, Male,0,0,32, United-States, <=50K\n32, Local-gov,118457, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K\n20, Private,298635, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,30, Philippines, <=50K\n21, Local-gov,212780, 12th,8, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,20, United-States, <=50K\n32, Private,159187, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,237995, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,48, United-States, <=50K\n45, Private,160724, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n37, Self-emp-inc,183800, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K\n54, ?,185936, 9th,5, Divorced, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K\n24, Private,161198, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,25, United-States, <=50K\n28, ?,113635, 11th,7, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n23, Private,214542, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n54, ?,172991, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,203761, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,161141, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n71, Private,180117, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,317396, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,237868, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,5, United-States, <=50K\n30, Private,323069, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,181091, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n38, Private,309122, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Federal-gov,105936, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,13550,0,40, United-States, >50K\n43, Private,40024, 11th,7, Never-married, Transport-moving, Not-in-family, White, Male,0,0,42, United-States, <=50K\n36, Federal-gov,192443, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,13550,0,40, United-States, >50K\n24, State-gov,184216, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n29, ?,256211, 1st-4th,2, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n55, Private,205422, 10th,6, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K\n51, Private,22211, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,60, United-States, >50K\n43, Local-gov,196308, HS-grad,9, Divorced, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n28, Private,389713, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,82566, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n47, Private,199058, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,160440, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n47, Private,76034, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,57, United-States, >50K\n38, Private,188503, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,6497,0,35, United-States, <=50K\n60, Self-emp-not-inc,92845, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,29083, HS-grad,9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female,0,0,25, United-States, <=50K\n22, Private,234474, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,25, United-States, <=50K\n55, Local-gov,107308, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,111891, Some-college,10, Separated, Sales, Other-relative, Black, Female,0,0,35, United-States, <=50K\n53, Self-emp-not-inc,145419, 1st-4th,2, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,67, Italy, >50K\n44, Local-gov,193425, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,4386,0,40, United-States, >50K\n28, Federal-gov,188278, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Local-gov,303485, Some-college,10, Never-married, Transport-moving, Unmarried, Black, Female,0,0,40, United-States, <=50K\n39, Local-gov,67187, HS-grad,9, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n43, State-gov,114508, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,204172, Bachelors,13, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n27, Local-gov,162973, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,56, United-States, <=50K\n64, Self-emp-not-inc,192695, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, Canada, <=50K\n41, Local-gov,89172, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,163320, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n61, Private,128230, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n27, Private,246440, 11th,7, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,50567, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K\n20, Private,117476, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,315834, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1876,40, United-States, <=50K\n28, Local-gov,214881, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,195516, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,218653, Bachelors,13, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,87205, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,20, United-States, >50K\n40, Private,164647, Some-college,10, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,38, United-States, <=50K\n19, Private,129151, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,319697, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,193374, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,167864, Assoc-voc,11, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,197932, Some-college,10, Separated, Priv-house-serv, Not-in-family, White, Female,0,0,30, Guatemala, <=50K\n51, Private,102904, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,43, United-States, <=50K\n44, Private,216907, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K\n35, Local-gov,331395, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,42, United-States, <=50K\n40, Private,171424, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,35406, 7th-8th,4, Separated, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K\n25, Private,238964, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n33, Private,213002, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1408,36, United-States, <=50K\n32, Private,27882, Some-college,10, Never-married, Machine-op-inspct, Other-relative, White, Female,0,2205,40, Holand-Netherlands, <=50K\n22, Private,340543, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,70240, Some-college,10, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n18, Self-emp-not-inc,87169, HS-grad,9, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n43, Private,253759, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,45, United-States, <=50K\n46, Private,194431, HS-grad,9, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K\n63, Private,137843, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,48, United-States, >50K\n40, ?,170649, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n59, Private,182460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n40, Local-gov,26929, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,399022, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n64, ?,50171, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K\n36, Private,218490, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n48, Private,164423, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,124436, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n18, Private,60981, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n17, Private,70868, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,16, United-States, <=50K\n36, Private,150601, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, <=50K\n53, Private,228500, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n36, State-gov,76767, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,39, United-States, <=50K\n20, Private,218178, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,615367, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n34, Private,150324, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,51264, 11th,7, Divorced, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n57, Private,197642, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,229895, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,167415, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n51, Private,166934, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,305597, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n34, Private,301591, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,35, United-States, <=50K\n47, Federal-gov,229646, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Female,0,0,40, Puerto-Rico, <=50K\n28, Self-emp-not-inc,51461, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,206600, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,24, Nicaragua, <=50K\n25, Private,176836, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K\n50, Private,204447, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,65, United-States, >50K\n50, Private,33304, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,174051, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n27, Private,38918, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,1876,75, United-States, <=50K\n32, Private,170017, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n44, Private,98466, 10th,6, Never-married, Farming-fishing, Unmarried, White, Male,0,0,35, United-States, <=50K\n19, Private,188864, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,20, United-States, <=50K\n53, Self-emp-inc,137815, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n21, Private,43475, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,557236, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n68, Private,32779, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,419,12, United-States, <=50K\n31, Private,161765, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,2051,57, United-States, <=50K\n32, Private,207668, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Male,0,2444,50, United-States, >50K\n33, Private,171215, Masters,14, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n49, ?,52590, HS-grad,9, Never-married, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n24, Private,183751, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K\n30, Private,149507, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, <=50K\n49, Private,98092, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,123714, 11th,7, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n30, State-gov,190385, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K\n51, Private,334273, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,343440, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,208302, HS-grad,9, Divorced, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K\n23, Local-gov,280164, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,32, United-States, <=50K\n23, Self-emp-not-inc,174714, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n36, Private,184655, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n19, Private,140459, 11th,7, Never-married, Craft-repair, Other-relative, White, Male,0,0,25, United-States, <=50K\n53, Self-emp-not-inc,108815, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n17, Private,152652, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n69, Private,269499, HS-grad,9, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,8, United-States, <=50K\n46, Local-gov,33373, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,243674, HS-grad,9, Separated, Tech-support, Not-in-family, White, Male,0,0,46, United-States, <=50K\n40, Private,225432, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n56, Private,215839, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, ?, <=50K\n29, Local-gov,195520, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,70092, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n22, Private,189888, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n28, Private,64307, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,94235, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K\n35, Private,62333, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,260997, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n17, Private,146268, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n39, Private,147258, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,207948, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n50, Private,180607, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n56, Local-gov,104996, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n80, Self-emp-not-inc,562336, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K\n38, Self-emp-not-inc,334366, Some-college,10, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,15, United-States, <=50K\n52, State-gov,142757, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K\n26, Local-gov,220656, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Male,0,0,38, England, <=50K\n43, Private,96483, HS-grad,9, Divorced, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,40, South, <=50K\n45, Private,51744, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,42, United-States, <=50K\n41, Self-emp-inc,114967, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n30, Private,393965, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n24, Private,41838, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,40, United-States, <=50K\n43, Local-gov,143046, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n44, Private,209174, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n54, Private,183248, HS-grad,9, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n23, Private,102942, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,2258,40, United-States, >50K\n33, Self-emp-not-inc,427474, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n18, Private,338632, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n38, Private,89559, Some-college,10, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, Germany, <=50K\n41, Self-emp-not-inc,32533, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n22, ?,255969, 12th,8, Never-married, ?, Not-in-family, White, Male,0,0,48, United-States, <=50K\n66, Self-emp-inc,112376, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n70, ?,346053, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,147653, 10th,6, Married-civ-spouse, Craft-repair, Wife, White, Female,0,1977,35, ?, >50K\n60, Self-emp-not-inc,44915, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,10, United-States, <=50K\n24, Local-gov,111450, 10th,6, Never-married, Craft-repair, Unmarried, Black, Male,0,0,65, Haiti, <=50K\n61, Private,171429, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K\n35, Local-gov,190964, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,109005, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n52, Private,404453, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,280169, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, United-States, >50K\n39, Self-emp-not-inc,163204, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,192256, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n52, Private,181755, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,183105, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,44, Cuba, <=50K\n37, Private,335168, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n38, Local-gov,86643, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,180262, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,127865, Masters,14, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,146042, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,3103,0,60, United-States, >50K\n49, Self-emp-not-inc,102110, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, United-States, >50K\n38, Private,152237, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, ?, >50K\n22, Private,202745, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,55, United-States, <=50K\n40, Federal-gov,199303, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,266467, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Federal-gov,345259, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,99, United-States, <=50K\n24, Private,204935, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,56, United-States, <=50K\n58, Federal-gov,244830, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,4787,0,40, United-States, >50K\n24, Private,190457, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Private,180138, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n38, Private,166585, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Private,29962, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,191129, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,378707, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n37, Private,116358, HS-grad,9, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,27828,0,48, United-States, >50K\n48, Private,240629, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K\n40, Private,233320, 7th-8th,4, Separated, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n50, Self-emp-inc,302708, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7688,0,50, Japan, >50K\n57, Private,29375, HS-grad,9, Separated, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K\n36, Local-gov,137314, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K\n41, Private,140886, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n90, Private,226968, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n66, Private,151793, 7th-8th,4, Widowed, Other-service, Not-in-family, Black, Female,0,0,10, United-States, <=50K\n34, Self-emp-not-inc,56460, HS-grad,9, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,2179,12, United-States, <=50K\n23, Private,72887, HS-grad,9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,1, Vietnam, <=50K\n35, Private,261646, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,55, United-States, <=50K\n32, Private,178615, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,40, United-States, <=50K\n33, Private,295589, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, >50K\n32, Self-emp-inc,377836, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,56510, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,337696, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,183765, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,107846, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,30, United-States, <=50K\n34, Local-gov,22641, HS-grad,9, Never-married, Protective-serv, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n35, Private,204590, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, >50K\n29, Private,114801, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,190591, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K\n33, State-gov,220066, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,48, United-States, >50K\n22, ?,228480, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n52, Private,128378, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,157595, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Local-gov,152171, 11th,7, Never-married, Protective-serv, Own-child, White, Male,0,0,10, United-States, <=50K\n63, Private,339755, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, >50K\n49, Private,240841, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n58, Private,94345, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n23, Self-emp-not-inc,289116, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K\n59, Private,176647, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n49, Self-emp-not-inc,79627, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n23, Local-gov,210781, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K\n17, ?,161981, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,493443, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,86459, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K\n64, Private,312242, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,3, United-States, <=50K\n34, Private,185408, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n63, Private,101077, Assoc-acdm,12, Married-spouse-absent, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K\n51, Private,147200, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n40, State-gov,166327, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n55, Private,178644, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n35, Private,126675, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,46, ?, <=50K\n30, Private,158420, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,25, United-States, <=50K\n47, ?,83046, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,18, United-States, <=50K\n29, Private,46609, 10th,6, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, ?, <=50K\n17, ?,170320, 11th,7, Never-married, ?, Own-child, White, Female,0,0,8, United-States, <=50K\n32, Self-emp-not-inc,37232, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K\n55, Private,141877, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Local-gov,81654, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,56, United-States, >50K\n50, Private,177705, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,124792, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,7688,0,45, United-States, >50K\n32, Self-emp-not-inc,129497, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n60, Private,114413, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n53, Private,189511, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,111625, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Male,8614,0,40, United-States, >50K\n45, Private,246431, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n31, Private,147654, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,443546, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,281751, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n28, Private,263128, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n26, Private,292692, 12th,8, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n47, Self-emp-inc,96798, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K\n34, Private,430554, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n42, Private,317078, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n48, Private,108557, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,99999,0,40, United-States, >50K\n32, Private,207400, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n35, Private,187089, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,42, United-States, >50K\n46, Local-gov,398986, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,52, United-States, >50K\n38, Private,238980, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n49, ?,407495, HS-grad,9, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,70, United-States, <=50K\n35, Private,183800, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n61, ?,226989, HS-grad,9, Divorced, ?, Not-in-family, White, Male,4865,0,40, United-States, <=50K\n45, Private,287190, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, Black, Male,0,0,35, United-States, <=50K\n31, Private,111363, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-inc,260938, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n20, Private,183594, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n64, ?,49194, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n20, ?,117618, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,172496, Masters,14, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Private,389713, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,174413, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, State-gov,189843, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,198546, Masters,14, Widowed, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n21, Private,82497, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n23, Private,193090, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n79, Private,172220, 7th-8th,4, Widowed, Priv-house-serv, Not-in-family, White, Female,2964,0,30, United-States, <=50K\n55, Private,208451, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n42, ?,234277, HS-grad,9, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K\n60, Private,163729, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,2597,0,40, United-States, <=50K\n37, Private,434097, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n47, Private,192053, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,1590,40, United-States, <=50K\n20, State-gov,178628, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,96827, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Canada, <=50K\n34, Private,154667, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n43, Private,160246, Some-college,10, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n24, Self-emp-not-inc,166036, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n23, Private,186813, HS-grad,9, Never-married, Protective-serv, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n29, Private,162312, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, Other, Male,0,0,40, United-States, <=50K\n58, Private,183893, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n55, ?,270228, Assoc-acdm,12, Married-civ-spouse, ?, Husband, Black, Male,7688,0,40, United-States, >50K\n40, Private,111829, Masters,14, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Federal-gov,175669, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n25, State-gov,104097, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Local-gov,117618, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,24, United-States, <=50K\n34, Self-emp-inc,202450, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,109570, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n60, Private,101096, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,65, United-States, >50K\n39, Private,236391, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n21, Private,136975, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,167523, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2179,45, United-States, <=50K\n33, Private,240979, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,248612, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, >50K\n39, Private,151023, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,114,0,45, United-States, <=50K\n29, Private,236436, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,8614,0,40, United-States, >50K\n29, ?,153167, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n52, Private,61735, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,243165, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, >50K\n24, Private,388885, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K\n77, Self-emp-inc,84979, Doctorate,16, Married-civ-spouse, Farming-fishing, Husband, White, Male,20051,0,40, United-States, >50K\n34, Self-emp-not-inc,87209, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n53, Self-emp-not-inc,168539, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n31, Private,179013, HS-grad,9, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n58, Private,196643, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n50, Self-emp-not-inc,68898, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7688,0,55, United-States, >50K\n32, Private,156464, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,35884, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,182714, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K\n77, Private,344425, 9th,5, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0,0,10, United-States, <=50K\n37, Self-emp-not-inc,177277, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,70767, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,520078, Assoc-acdm,12, Divorced, Sales, Unmarried, Black, Male,0,0,60, United-States, <=50K\n53, Local-gov,321770, HS-grad,9, Married-spouse-absent, Transport-moving, Other-relative, White, Female,0,0,35, United-States, <=50K\n32, Private,158416, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Private,312667, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,208656, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,594,0,20, United-States, <=50K\n33, Private,31481, Bachelors,13, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K\n31, Private,259531, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,186239, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n19, Private,162954, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n27, Private,249315, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n21, Private,308237, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n24, Private,103064, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,185847, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,54, United-States, <=50K\n31, Private,168521, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Private,198170, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,353628, 10th,6, Separated, Sales, Unmarried, Black, Female,0,0,38, United-States, <=50K\n38, ?,273285, 11th,7, Never-married, ?, Not-in-family, White, Female,0,0,32, United-States, <=50K\n31, Private,272069, Assoc-voc,11, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,22328, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,309212, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,25, United-States, <=50K\n25, Self-emp-inc,148888, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n23, Local-gov,324637, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n53, Self-emp-inc,55139, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n42, ?,212206, Masters,14, Married-civ-spouse, ?, Wife, White, Female,0,1887,48, United-States, >50K\n29, Private,119004, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,2179,40, United-States, <=50K\n45, Private,252079, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n70, Private,315868, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-inc,392325, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,60, United-States, >50K\n40, State-gov,174283, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,50, United-States, >50K\n17, Private,126832, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n18, Private,126071, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,265706, Masters,14, Never-married, Sales, Unmarried, White, Male,0,0,60, United-States, >50K\n41, Private,282964, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,328518, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, State-gov,283499, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,286675, Some-college,10, Never-married, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K\n56, Private,136472, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,48, United-States, <=50K\n36, Private,132879, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, United-States, <=50K\n26, Private,314798, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n62, Private,143943, Bachelors,13, Widowed, Tech-support, Unmarried, White, Female,0,0,7, United-States, <=50K\n35, Private,134367, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Local-gov,366796, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,195573, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n21, Private,33616, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n31, Private,164190, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,380281, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,25, Columbia, <=50K\n58, Self-emp-inc,190763, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n55, Local-gov,209535, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,156003, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,55699, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3908,0,40, United-States, <=50K\n28, Private,183151, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7688,0,40, United-States, >50K\n40, Private,198790, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K\n33, Self-emp-not-inc,272359, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,80, United-States, >50K\n27, Private,236481, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,10, India, <=50K\n55, Private,143266, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,25, United-States, <=50K\n53, Private,192386, HS-grad,9, Separated, Transport-moving, Unmarried, White, Male,0,0,45, United-States, <=50K\n23, Private,99543, 12th,8, Never-married, Transport-moving, Not-in-family, White, Male,0,0,46, United-States, <=50K\n66, Private,169435, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,16, United-States, <=50K\n34, Self-emp-not-inc,34572, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n39, Private,119272, 10th,6, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,211601, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n26, Private,154785, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, Other, Female,0,0,35, United-States, <=50K\n21, Private,213041, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Cuba, <=50K\n59, Private,229939, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,175331, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,226443, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,46561, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,161311, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,30, United-States, <=50K\n50, Private,98215, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n67, Private,118363, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,2206,5, United-States, <=50K\n59, Local-gov,181242, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,356238, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,80, United-States, >50K\n56, Self-emp-not-inc,39380, Some-college,10, Married-spouse-absent, Farming-fishing, Not-in-family, White, Female,27828,0,20, United-States, >50K\n28, Private,315287, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,40, ?, <=50K\n34, Private,269723, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,2977,0,50, United-States, <=50K\n63, Private,34098, 10th,6, Widowed, Farming-fishing, Unmarried, White, Female,0,0,56, United-States, <=50K\n48, Private,50880, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, <=50K\n41, Federal-gov,356934, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K\n26, Private,276309, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,20, United-States, <=50K\n47, Private,175925, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,2179,52, United-States, <=50K\n29, Self-emp-not-inc,164607, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,224462, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,92863, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n27, Private,179565, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K\n59, Self-emp-not-inc,31137, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n19, Private,199495, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,175262, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n37, Private,220585, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Local-gov,231793, Doctorate,16, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K\n34, Federal-gov,191342, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,38, United-States, <=50K\n30, Private,186420, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,35, United-States, <=50K\n30, Private,328242, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Hong, >50K\n56, Private,279340, 11th,7, Separated, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n19, Private,174478, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Private,151771, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,145636, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,43, United-States, >50K\n21, Private,120326, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,246439, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n27, Private,144133, Bachelors,13, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0,0,50, United-States, <=50K\n44, Local-gov,145522, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,312055, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,235847, Some-college,10, Never-married, Exec-managerial, Other-relative, White, Female,0,0,50, United-States, <=50K\n37, Private,187748, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,396482, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K\n49, Private,261688, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,60, United-States, <=50K\n20, Private,39477, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n37, Private,143058, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,216867, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, Mexico, <=50K\n44, Private,230592, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,35, United-States, <=50K\n30, Local-gov,40338, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Local-gov,115457, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,374983, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,285419, 12th,8, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, ?,385901, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,22, United-States, <=50K\n45, State-gov,187581, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-inc,299036, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n42, Private,68729, Some-college,10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n27, Private,333990, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,117767, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K\n43, Private,184378, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n21, Private,232591, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,143851, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,89622, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,80, United-States, >50K\n34, Private,202498, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Dominican-Republic, <=50K\n72, Private,268861, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,99, ?, <=50K\n54, Private,343242, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K\n30, Private,460408, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n63, Private,205246, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n36, Private,230329, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,197871, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n72, ?,201375, Assoc-acdm,12, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Private,194290, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,191814, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n41, Private,95168, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n20, ?,137876, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,386136, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n71, ?,108390, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,3432,0,20, United-States, <=50K\n41, Private,152529, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n35, Private,214891, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,40, Dominican-Republic, <=50K\n18, Private,133654, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,147548, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n57, Private,73051, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,60166, 1st-4th,2, Never-married, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male,0,0,65, United-States, <=50K\n25, Self-emp-inc,454934, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n64, ?,338355, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,15, United-States, <=50K\n35, Self-emp-not-inc,185621, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n61, Private,101500, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n36, State-gov,36397, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K\n18, Private,276540, 12th,8, Never-married, Sales, Own-child, Black, Female,0,0,15, United-States, <=50K\n21, Private,293968, Some-college,10, Married-spouse-absent, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n43, ?,35523, Assoc-acdm,12, Divorced, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n32, Local-gov,186993, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,232132, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n48, Private,176917, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n40, Private,105936, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,105821, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K\n22, ?,34506, Some-college,10, Separated, ?, Unmarried, White, Female,0,0,25, United-States, <=50K\n42, Private,178074, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, ?,116961, 7th-8th,4, Widowed, ?, Unmarried, White, Female,0,0,20, United-States, <=50K\n34, Private,191930, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,130807, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,94100, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K\n65, Self-emp-not-inc,144822, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n61, Self-emp-inc,102191, Masters,14, Widowed, Exec-managerial, Unmarried, White, Female,0,0,99, United-States, <=50K\n18, Private,90934, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,28, United-States, <=50K\n49, ?,296892, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n48, Private,173243, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n26, Private,258768, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,2174,0,75, United-States, <=50K\n30, Private,189759, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n68, Self-emp-not-inc,69249, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,133061, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, <=50K\n65, Self-emp-not-inc,175202, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,24, United-States, <=50K\n32, Private,27051, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,44, United-States, <=50K\n44, Private,60414, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n48, Local-gov,317360, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n24, Private,258298, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K\n58, Private,174040, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Local-gov,177566, Some-college,10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,50, Germany, <=50K\n54, Private,162238, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n35, Private,87556, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n35, Private,144322, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n24, Private,190015, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,183173, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K\n38, Self-emp-not-inc,151322, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Local-gov,47392, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,107125, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n49, Private,265295, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,189219, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,16, United-States, <=50K\n56, Private,147989, Some-college,10, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,185732, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,153516, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, ?,191910, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K\n33, Private,216145, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,202872, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,12, United-States, <=50K\n62, Self-emp-not-inc,39630, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n24, ?,114292, 9th,5, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Local-gov,206721, Bachelors,13, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,358585, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, >50K\n33, Private,377283, Bachelors,13, Separated, Sales, Not-in-family, White, Female,0,0,50, United-States, >50K\n65, ?,76043, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,1, United-States, >50K\n65, Without-pay,172949, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,2414,0,20, United-States, <=50K\n46, Private,110171, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n43, Local-gov,223861, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,163455, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,183892, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,47022, HS-grad,9, Widowed, Handlers-cleaners, Other-relative, White, Female,0,0,48, United-States, <=50K\n55, Federal-gov,145401, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,387074, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,105363, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4508,0,40, United-States, <=50K\n59, Federal-gov,195467, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Local-gov,170217, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,156807, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,10, United-States, <=50K\n26, Private,255193, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,3411,0,40, United-States, <=50K\n38, Private,273640, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,191177, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-inc,184787, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n37, State-gov,239409, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n63, Self-emp-not-inc,404547, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n27, State-gov,23740, HS-grad,9, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,38, United-States, >50K\n20, Private,382153, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K\n26, Private,164488, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n21, ?,228424, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,168539, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,189530, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,89419, Assoc-voc,11, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, Columbia, <=50K\n35, Private,224512, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n21, ?,314645, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,43, United-States, <=50K\n65, Private,85787, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Local-gov,279881, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n39, Private,194287, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,1602,35, United-States, <=50K\n24, Private,141040, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n36, Private,222294, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n70, ?,410980, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, >50K\n52, Private,38795, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n64, Private,182979, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,223277, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,67065, Assoc-voc,11, Never-married, Priv-house-serv, Not-in-family, White, Male,594,0,25, United-States, <=50K\n47, Federal-gov,160647, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,45796, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,110597, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n33, Private,166961, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n52, Private,318975, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, Cuba, <=50K\n49, Private,305657, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,120857, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,18, United-States, <=50K\n62, Self-emp-not-inc,158712, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,6, United-States, <=50K\n44, Private,304530, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n28, Local-gov,327533, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,3908,0,40, United-States, <=50K\n68, Local-gov,233954, Masters,14, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, >50K\n40, Federal-gov,26880, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,70754, 7th-8th,4, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n22, Private,184665, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,245372, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Male,0,0,15, United-States, <=50K\n62, Private,252668, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, <=50K\n37, Private,86551, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n35, Private,241998, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,4787,0,40, United-States, >50K\n44, Private,106900, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, <=50K\n41, Private,204235, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n36, Local-gov,127772, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n26, Private,117217, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K\n48, Federal-gov,215389, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K\n21, Private,198050, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K\n39, Private,173476, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n38, Private,217349, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,14344,0,40, United-States, >50K\n44, Private,377018, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,99894, 10th,6, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,30, Japan, >50K\n25, Private,170786, 9th,5, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K\n32, Local-gov,250585, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n47, Private,198769, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K\n26, Private,306513, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,178623, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,14084,0,60, United-States, >50K\n23, Private,109307, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Federal-gov,106982, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K\n55, Self-emp-not-inc,396878, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,25, United-States, <=50K\n23, Private,344278, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,25, United-States, <=50K\n45, Private,203653, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,7298,0,40, United-States, >50K\n42, Local-gov,227890, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,40, United-States, <=50K\n29, Private,107812, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K\n48, Private,185143, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,143068, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-inc,114758, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n46, Private,266337, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n34, Private,321787, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n27, State-gov,21306, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Germany, <=50K\n18, Private,271935, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n18, Private,148952, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n42, Private,196626, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n64, ?,108082, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,199439, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n20, ?,304076, 11th,7, Never-married, ?, Own-child, Black, Female,0,0,20, United-States, <=50K\n52, Self-emp-inc,81436, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n44, Self-emp-inc,352971, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n53, Private,375134, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n36, Private,206521, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n27, Private,330466, Bachelors,13, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n52, Private,208302, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K\n60, Self-emp-not-inc,135285, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,171615, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n64, Self-emp-not-inc,149698, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,71351, 1st-4th,2, Never-married, Other-service, Other-relative, White, Male,0,0,25, El-Salvador, <=50K\n63, Private,84737, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n54, Local-gov,375134, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,207103, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,199314, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, Poland, <=50K\n63, Self-emp-not-inc,289741, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,41310,0,50, United-States, <=50K\n37, Private,240837, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n22, Private,283499, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,35, United-States, <=50K\n54, Private,97778, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,21698, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, Local-gov,232618, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,175820, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n25, Local-gov,63996, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Local-gov,182985, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n47, Federal-gov,380127, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,111483, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n18, ?,31008, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n57, Private,96346, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,57, United-States, <=50K\n22, Private,317528, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,34, United-States, <=50K\n36, State-gov,223020, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K\n33, ?,173998, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,1485,38, United-States, <=50K\n39, Private,115076, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,133969, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,50, United-States, >50K\n41, Private,173858, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n35, Private,193241, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K\n40, Self-emp-inc,50644, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,1506,0,40, United-States, <=50K\n30, Private,178841, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,177017, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,1504,37, United-States, <=50K\n25, Private,253267, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,1902,36, United-States, >50K\n37, Private,202027, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,50, United-States, >50K\n53, Self-emp-not-inc,321865, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K\n34, Self-emp-not-inc,321709, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K\n22, Private,166371, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, ?, <=50K\n18, Private,210574, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n52, ?,92968, Masters,14, Married-civ-spouse, ?, Wife, White, Female,15024,0,40, United-States, >50K\n45, Private,474617, HS-grad,9, Divorced, Sales, Unmarried, Black, Male,5455,0,40, United-States, <=50K\n19, Private,264390, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,2001,40, United-States, <=50K\n33, Self-emp-inc,144949, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K\n45, State-gov,90803, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n43, State-gov,126701, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n40, Private,178417, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n41, Self-emp-not-inc,197176, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, >50K\n25, Private,182227, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,40, United-States, <=50K\n22, Private,117606, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,32, United-States, <=50K\n52, Private,349502, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,45, United-States, <=50K\n45, Federal-gov,81487, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Puerto-Rico, >50K\n32, State-gov,169583, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K\n26, Private,485117, Bachelors,13, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K\n24, Private,35603, Some-college,10, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n37, Private,175390, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Private,184986, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Local-gov,174395, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,187711, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,189878, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,224073, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n48, Private,159726, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K\n40, ?,65545, Masters,14, Divorced, ?, Own-child, White, Female,0,0,55, United-States, <=50K\n26, Private,456618, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,2597,0,40, United-States, <=50K\n35, Private,202397, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n21, Private,206681, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n54, Private,222020, 10th,6, Divorced, Other-service, Not-in-family, White, Male,0,0,70, United-States, <=50K\n40, Private,137304, Bachelors,13, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n51, Private,141645, Some-college,10, Separated, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,218085, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,50, United-States, <=50K\n22, Private,52596, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,8, United-States, <=50K\n20, Private,197997, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,191444, 11th,7, Never-married, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K\n21, Private,40767, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,172577, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K\n36, Private,241998, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n65, State-gov,215908, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,2174,40, United-States, >50K\n48, Private,212120, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,109133, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,27828,0,60, Iran, >50K\n20, Private,224424, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n41, State-gov,214985, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,147098, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n39, Local-gov,149833, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Federal-gov,253770, Some-college,10, Married-civ-spouse, Transport-moving, Wife, White, Female,7298,0,40, United-States, >50K\n80, Private,252466, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,24, United-States, <=50K\n59, State-gov,132717, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,138944, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,280570, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,50, United-States, >50K\n56, Self-emp-not-inc,144380, Some-college,10, Married-spouse-absent, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n69, Local-gov,660461, HS-grad,9, Widowed, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n49, Private,177211, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,197424, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,40, United-States, <=50K\n28, Self-emp-inc,31717, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n49, Private,296849, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n51, Local-gov,193720, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n42, Private,106698, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n66, Private,214469, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,13, United-States, <=50K\n44, Private,185798, Assoc-voc,11, Separated, Craft-repair, Other-relative, White, Male,0,0,48, United-States, >50K\n26, Private,333108, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,35210, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,140845, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,155,40, United-States, <=50K\n25, ?,335376, Bachelors,13, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n17, Private,170455, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K\n52, Private,298215, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n34, ?,93834, HS-grad,9, Separated, ?, Own-child, White, Female,0,0,8, United-States, <=50K\n24, Private,404416, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, ?,206916, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n65, Private,143175, Some-college,10, Widowed, Sales, Other-relative, White, Female,0,0,45, United-States, <=50K\n36, Self-emp-not-inc,409189, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,285750, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,30, United-States, <=50K\n43, Private,235556, Some-college,10, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,45, Mexico, <=50K\n39, Local-gov,170382, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, England, >50K\n48, Private,195437, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n50, Local-gov,191130, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,231160, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n36, Private,47310, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n33, Private,214635, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,36, Haiti, <=50K\n50, Federal-gov,65160, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n49, State-gov,423222, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,99999,0,80, United-States, >50K\n34, Private,263307, Bachelors,13, Never-married, Sales, Unmarried, Black, Male,0,0,45, ?, <=50K\n70, Self-emp-inc,272896, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,232854, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,442035, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,127875, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n40, Private,283724, 9th,5, Never-married, Craft-repair, Other-relative, Black, Male,0,0,49, United-States, <=50K\n46, Private,403911, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1902,40, United-States, >50K\n21, ?,228649, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n40, Private,177027, Bachelors,13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,7688,0,52, Japan, >50K\n47, Private,249935, 11th,7, Divorced, Craft-repair, Own-child, White, Male,0,0,8, United-States, <=50K\n19, Private,533147, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n22, Private,137862, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,16, United-States, <=50K\n20, Private,249543, Some-college,10, Never-married, Protective-serv, Own-child, White, Female,0,0,16, United-States, <=50K\n46, Local-gov,230979, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,4787,0,25, United-States, >50K\n41, Private,137126, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K\n17, Private,147339, 10th,6, Never-married, Prof-specialty, Own-child, Other, Female,0,0,15, United-States, <=50K\n41, Private,256647, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Private,111696, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,1974,40, United-States, <=50K\n20, ?,150084, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n24, Private,285457, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,303867, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n44, Federal-gov,113597, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n26, Self-emp-not-inc,151626, HS-grad,9, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,26145, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,176189, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n58, Federal-gov,497253, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n41, Private,41090, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2002,60, United-States, <=50K\n38, Self-emp-not-inc,282461, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K\n21, Private,225541, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,203488, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K\n23, ?,296613, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,32, United-States, <=50K\n40, Private,99373, 10th,6, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Local-gov,109705, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,144947, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, Private,617898, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n50, Private,38310, 7th-8th,4, Divorced, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n45, Private,248993, HS-grad,9, Married-spouse-absent, Farming-fishing, Other-relative, Black, Male,0,0,40, United-States, <=50K\n65, ?,149131, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Italy, >50K\n33, Private,69311, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Federal-gov,143766, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n65, Private,213477, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,28, United-States, <=50K\n24, Private,275691, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,39, United-States, <=50K\n26, Private,59367, Bachelors,13, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n55, Private,35551, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n66, Private,236784, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,8, Cuba, <=50K\n43, Local-gov,193755, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,315291, Bachelors,13, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K\n22, Private,290504, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,256240, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n69, ?,199591, Prof-school,15, Married-civ-spouse, ?, Wife, White, Female,0,0,25, ?, <=50K\n27, Private,178709, Masters,14, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,449354, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,4386,0,45, United-States, >50K\n24, Private,187937, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, Never-worked,157131, 11th,7, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K\n53, Local-gov,188772, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n26, Private,157617, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, <=50K\n60, Private,96099, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,122322, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,60, United-States, <=50K\n39, Private,409189, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n45, Private,175925, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n76, Self-emp-not-inc,236878, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n19, Private,216647, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n34, Private,300681, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, Jamaica, >50K\n54, Private,327769, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,194723, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Local-gov,31251, 7th-8th,4, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,212506, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,23037, 12th,8, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,29054, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,92733, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n21, State-gov,184678, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n37, Federal-gov,32528, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, England, >50K\n63, Private,125954, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,2174,0,40, United-States, <=50K\n35, Private,73715, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,209212, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,56, ?, <=50K\n41, Private,287037, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,64667, HS-grad,9, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,60, Vietnam, <=50K\n26, Self-emp-inc,366662, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K\n36, Local-gov,113337, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,42, United-States, >50K\n47, Private,387468, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Scotland, >50K\n51, Private,384248, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,50, United-States, <=50K\n41, Private,332703, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Other, Female,0,625,40, United-States, <=50K\n40, Private,198873, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,30, United-States, >50K\n32, Private,317809, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4064,0,50, United-States, <=50K\n37, Local-gov,160910, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n40, Self-emp-inc,182629, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Private,267652, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,410186, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,365411, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K\n28, Private,205337, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n19, Self-emp-not-inc,100999, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n44, Private,197462, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,199143, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,7430,0,44, United-States, >50K\n47, Private,191978, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,50178, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,72442, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,248512, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,178140, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, >50K\n58, Private,354024, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n35, Private,143589, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n35, Private,219902, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n29, Local-gov,419722, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,3674,0,40, United-States, <=50K\n40, Private,154374, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n33, Private,132601, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n38, Self-emp-not-inc,29430, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,30731, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K\n66, Private,210825, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n36, Local-gov,251091, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,219034, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Federal-gov,35723, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n46, Private,358886, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,248708, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, ?,77937, 12th,8, Divorced, ?, Not-in-family, White, Female,0,0,40, Canada, <=50K\n30, Private,30063, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n29, Private,253799, 12th,8, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, England, <=50K\n60, ?,41553, Some-college,10, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n24, Private,59146, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K\n42, Self-emp-not-inc,343609, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,50, United-States, <=50K\n26, Private,216010, HS-grad,9, Separated, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Private,164526, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,150958, 5th-6th,3, Never-married, Farming-fishing, Unmarried, White, Male,0,0,48, Guatemala, <=50K\n26, Private,244495, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n23, Private,199336, Assoc-voc,11, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n60, Private,151369, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n49, Federal-gov,118701, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,219611, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,184568, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,246891, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n70, Self-emp-inc,243436, 9th,5, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n44, Local-gov,68318, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,55, United-States, <=50K\n58, Private,56331, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,190591, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K\n54, Private,140359, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, White, Female,0,3900,40, United-States, <=50K\n42, Self-emp-inc,23510, Masters,14, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0,2201,60, India, >50K\n28, Private,122540, 10th,6, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n65, Private,212562, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,20, United-States, <=50K\n35, Self-emp-not-inc,112497, HS-grad,9, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,35, Ireland, <=50K\n82, Private,147729, 5th-6th,3, Widowed, Other-service, Unmarried, White, Male,0,0,20, United-States, <=50K\n48, Self-emp-not-inc,296066, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n44, Private,148138, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,15024,0,40, Japan, >50K\n68, Private,50351, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,6360,0,20, United-States, <=50K\n42, Private,306496, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,210029, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,2001,37, United-States, <=50K\n54, Private,163894, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n22, Private,113936, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,316820, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K\n17, Private,53367, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n46, Self-emp-not-inc,95256, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n59, Private,127728, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,66686, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n70, ?,207627, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2228,0,24, United-States, <=50K\n57, Self-emp-inc,199768, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,30, United-States, >50K\n47, ?,186805, HS-grad,9, Married-civ-spouse, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n31, Private,154297, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,24, United-States, <=50K\n23, Private,103064, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n17, Private,93235, 12th,8, Never-married, Other-service, Own-child, White, Female,0,1721,25, United-States, <=50K\n63, Private,440607, Preschool,1, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,30, Mexico, <=50K\n44, Private,212894, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K\n30, Private,167990, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,378460, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n44, Private,151089, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,60, United-States, >50K\n24, Private,153583, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,114639, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,20, United-States, <=50K\n37, Private,344480, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K\n24, Private,188300, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,105938, HS-grad,9, Divorced, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,217826, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,25, Jamaica, <=50K\n20, Private,379525, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n34, State-gov,177331, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,4386,0,40, United-States, >50K\n37, Private,127918, Some-college,10, Never-married, Transport-moving, Unmarried, White, Female,0,0,20, Puerto-Rico, <=50K\n47, Federal-gov,27067, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,250038, 9th,5, Never-married, Farming-fishing, Other-relative, White, Male,0,0,45, Mexico, <=50K\n36, Self-emp-not-inc,36270, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1977,65, United-States, >50K\n60, Private,308608, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n64, Self-emp-inc,213574, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2635,0,10, United-States, <=50K\n32, Local-gov,235109, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n33, State-gov,374905, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n71, Private,118876, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,14, United-States, <=50K\n55, Local-gov,223716, Some-college,10, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n85, Self-emp-not-inc,166027, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n57, Self-emp-not-inc,275943, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K\n39, Private,198654, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,2415,67, India, >50K\n25, Private,109080, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,55, United-States, <=50K\n58, Private,104333, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,195876, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,390879, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K\n19, Private,197748, 11th,7, Divorced, Sales, Unmarried, White, Female,0,0,20, United-States, <=50K\n40, Private,442045, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,44216, HS-grad,9, Never-married, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n43, Federal-gov,114537, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n40, ?,253370, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,35, United-States, >50K\n19, Private,274830, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n24, Private,321763, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,38, United-States, <=50K\n34, Private,213226, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, >50K\n22, Private,167787, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n64, Self-emp-not-inc,352712, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n55, ?,316027, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, ?, <=50K\n26, Private,213412, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n80, Private,202483, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, <=50K\n79, Local-gov,146244, Doctorate,16, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,450544, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,81243, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Male,0,1876,40, United-States, <=50K\n43, Private,195258, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,57929, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K\n35, Private,953588, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n51, Private,99064, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n52, Local-gov,194788, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,4787,0,60, United-States, >50K\n43, Self-emp-inc,155293, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n68, Private,204082, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n34, State-gov,216283, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n37, Private,355856, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K\n22, Private,297380, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n32, Private,425622, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n65, Self-emp-not-inc,145628, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,115549, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,60, United-States, <=50K\n37, Private,245482, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n40, Self-emp-inc,142444, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n40, Private,134026, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n52, Private,177366, HS-grad,9, Separated, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K\n35, Private,38245, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n62, Self-emp-not-inc,215944, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n49, Private,115784, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n49, Private,170165, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Female,0,0,55, United-States, <=50K\n47, Private,355320, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n45, Private,116163, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,405644, 1st-4th,2, Married-spouse-absent, Farming-fishing, Other-relative, White, Male,0,0,77, Mexico, <=50K\n36, Local-gov,223433, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,53, United-States, >50K\n36, Private,41624, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, Mexico, <=50K\n44, Private,151089, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K\n51, State-gov,285747, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K\n25, State-gov,108542, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,212318, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n57, Private,173090, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,32, United-States, <=50K\n46, Private,26781, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n59, Private,31782, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,189241, 11th,7, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,164229, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,2597,0,40, United-States, <=50K\n35, Private,240467, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n27, Private,263614, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n29, Private,74500, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n43, Federal-gov,263502, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Federal-gov,47707, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n26, Private,231638, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n55, ?,389479, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n36, Private,111128, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,152307, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n23, ?,280134, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,609789, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, ?, <=50K\n41, Private,184466, 11th,7, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,55, United-States, <=50K\n44, Private,216411, Assoc-voc,11, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, Dominican-Republic, <=50K\n48, Self-emp-not-inc,324173, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n35, Local-gov,300681, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,7298,0,35, United-States, >50K\n43, Local-gov,598995, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,42, United-States, <=50K\n57, Federal-gov,140711, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n44, Local-gov,262241, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n28, Private,308136, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,148590, 10th,6, Widowed, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n52, Private,195635, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2051,38, United-States, <=50K\n30, Private,228406, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Private,136398, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, Thailand, >50K\n21, ?,305466, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,70, United-States, <=50K\n50, Self-emp-inc,175070, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n43, Self-emp-not-inc,34007, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, >50K\n33, Private,121195, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Other, Male,0,0,50, United-States, <=50K\n23, Federal-gov,216853, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, United-States, <=50K\n35, Private,81280, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, Yugoslavia, >50K\n18, Private,212936, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n21, ?,213055, Some-college,10, Never-married, ?, Unmarried, Other, Female,0,0,40, United-States, <=50K\n33, Local-gov,220430, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,70, United-States, >50K\n30, Federal-gov,73514, Bachelors,13, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,45, United-States, <=50K\n21, Private,307371, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,15, United-States, <=50K\n36, Local-gov,380614, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, Germany, >50K\n38, Private,119992, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,192002, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, Canada, >50K\n24, Private,327518, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n24, Private,220323, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K\n39, Private,421633, Some-college,10, Divorced, Protective-serv, Unmarried, Black, Female,0,0,30, United-States, <=50K\n43, Private,154210, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,2829,0,60, China, <=50K\n43, Self-emp-not-inc,35034, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,21, United-States, <=50K\n62, ?,378239, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, >50K\n30, State-gov,270218, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n25, Private,254933, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,61751, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K\n22, Private,137876, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,20, United-States, <=50K\n73, Private,336007, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2246,40, United-States, >50K\n26, Private,222539, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,233856, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,45, United-States, <=50K\n18, Private,198616, 12th,8, Never-married, Craft-repair, Own-child, White, Male,594,0,20, United-States, <=50K\n35, Private,202027, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7298,0,35, United-States, >50K\n22, Private,203182, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,43, United-States, <=50K\n28, Private,221317, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n38, Private,186934, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n68, ?,351402, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,70, United-States, <=50K\n40, Local-gov,179580, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n32, Private,26803, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,84, United-States, >50K\n42, Private,344624, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,50, United-States, >50K\n31, State-gov,59969, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K\n33, Private,162930, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, Italy, <=50K\n54, Self-emp-not-inc,192654, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K\n63, Private,117681, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,25, United-States, <=50K\n67, Self-emp-not-inc,179285, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n47, Private,217161, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,14, United-States, <=50K\n67, Self-emp-inc,116517, Bachelors,13, Widowed, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n33, Private,170336, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Other, Female,0,0,19, United-States, <=50K\n33, Local-gov,256529, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,80, United-States, <=50K\n25, Local-gov,227886, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,141706, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,361888, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n54, Private,185407, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n35, Self-emp-not-inc,176101, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, >50K\n18, Private,216730, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n54, ?,155755, HS-grad,9, Divorced, ?, Not-in-family, White, Female,4416,0,25, United-States, <=50K\n30, Private,609789, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, Mexico, <=50K\n29, Private,136017, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K\n41, Private,58880, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,10, United-States, >50K\n40, Private,285787, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,173243, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,5178,0,40, United-States, >50K\n39, Private,160916, Assoc-acdm,12, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,45, United-States, <=50K\n42, Private,227397, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n49, Self-emp-not-inc,111066, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,189924, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,31740, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,120837, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2042,48, United-States, <=50K\n31, Private,172304, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n72, ?,166253, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,2, United-States, <=50K\n31, Private,86492, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, >50K\n90, Private,206667, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n27, Self-emp-not-inc,153546, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n18, ?,189041, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,115932, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,99999,0,50, United-States, >50K\n27, Local-gov,151626, HS-grad,9, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,37302, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n28, Private,109001, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,195488, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K\n43, Local-gov,216116, Masters,14, Separated, Prof-specialty, Unmarried, Black, Female,0,0,37, United-States, <=50K\n26, Private,118497, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n48, Self-emp-not-inc,101233, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, <=50K\n41, Private,349703, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n32, Private,226883, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, <=50K\n23, Private,214635, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,169672, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K\n42, Private,71458, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n27, State-gov,142621, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,4101,0,40, United-States, <=50K\n34, Private,125279, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,197303, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Local-gov,148995, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,4787,0,45, United-States, >50K\n34, Private,69251, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n39, Private,160123, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,137310, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, ?, <=50K\n25, Private,323229, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,138626, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,2174,0,50, United-States, <=50K\n46, Private,102359, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,151888, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,4650,0,50, Ireland, <=50K\n37, Private,404661, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, Private,99146, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n38, Self-emp-not-inc,185325, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n35, Self-emp-not-inc,230268, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-inc,38819, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,380614, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,13, United-States, >50K\n45, Private,319637, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n71, Private,149040, 12th,8, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,320984, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n19, ?,117201, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,22, United-States, <=50K\n38, Private,81965, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Local-gov,182302, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,53434, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n48, Private,216214, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-inc,24127, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,54, United-States, >50K\n32, Federal-gov,115066, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,120277, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n57, Self-emp-not-inc,134286, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K\n55, Private,26716, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n48, ?,174533, 11th,7, Separated, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n46, Self-emp-inc,175958, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, ?, <=50K\n36, Private,218948, 9th,5, Separated, Other-service, Unmarried, Black, Female,0,0,40, ?, <=50K\n66, Private,117746, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,206199, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,89922, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n62, Private,69867, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n31, Private,109020, Bachelors,13, Never-married, Prof-specialty, Unmarried, Other, Male,0,0,40, United-States, <=50K\n77, ?,158847, Assoc-voc,11, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n25, Private,130302, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,156728, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,56, United-States, <=50K\n33, Private,424719, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Federal-gov,217647, Some-college,10, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n20, Private,33087, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Federal-gov,241895, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,38455, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,81054, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,25, United-States, <=50K\n44, Private,163215, 12th,8, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,156728, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,127930, HS-grad,9, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K\n46, Federal-gov,227310, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n24, Private,96844, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,17, United-States, <=50K\n18, Private,245199, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,46385, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,186385, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,8, United-States, <=50K\n55, Private,252714, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n68, Private,154897, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n41, Private,320744, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,138852, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n48, Private,102092, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, ?,32533, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,45, United-States, <=50K\n45, Private,278151, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,338290, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,34378, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n43, Private,91959, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n36, Private,265881, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, Private,276009, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,30, Philippines, <=50K\n27, Private,193898, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n36, Private,139364, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n47, State-gov,306473, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,37232, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,80, United-States, <=50K\n19, State-gov,56424, 12th,8, Never-married, Transport-moving, Own-child, Black, Male,0,0,20, United-States, <=50K\n33, Private,165235, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Thailand, <=50K\n34, Private,153326, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,106976, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n57, Private,109015, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K\n59, Private,154100, Masters,14, Never-married, Sales, Not-in-family, White, Female,27828,0,45, United-States, >50K\n36, Private,183739, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, White, Female,0,2002,40, United-States, <=50K\n60, Private,367695, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n33, Local-gov,156015, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,185132, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n20, Self-emp-not-inc,188274, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K\n28, Local-gov,50512, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,2202,0,50, United-States, <=50K\n24, State-gov,147719, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,20, India, <=50K\n31, Private,414525, 12th,8, Never-married, Farming-fishing, Not-in-family, Black, Male,0,0,60, United-States, <=50K\n38, Private,289148, HS-grad,9, Married-spouse-absent, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Private,176069, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n55, State-gov,199713, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, <=50K\n49, Private,297884, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4064,0,50, United-States, <=50K\n33, Private,204829, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n52, Private,155433, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, ?, <=50K\n24, Local-gov,32950, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n46, Private,233511, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K\n20, Private,210781, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n50, Private,190762, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n22, Private,83315, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-inc,343872, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,35, Haiti, <=50K\n46, Private,185385, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n62, ?,302142, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2961,0,30, United-States, <=50K\n39, Private,80324, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,62, United-States, >50K\n26, Private,357933, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n20, Private,211293, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,14, United-States, <=50K\n37, Self-emp-inc,199265, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,202872, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,24, United-States, <=50K\n22, Private,195075, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K\n32, Private,317378, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,10520,0,40, United-States, >50K\n41, Private,187802, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K\n24, Private,97212, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n40, Private,47902, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n37, State-gov,76767, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,39, United-States, >50K\n42, Private,172297, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,40, United-States, >50K\n56, Private,274475, 9th,5, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,105244, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n55, Local-gov,165695, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n29, Private,253801, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n37, Private,305597, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,352448, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n26, Private,242768, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K\n49, Self-emp-inc,201080, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n18, Local-gov,159032, 7th-8th,4, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,149568, 9th,5, Never-married, Farming-fishing, Other-relative, Black, Male,0,0,40, United-States, <=50K\n24, Private,229553, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,20, ?, <=50K\n24, State-gov,155775, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,120074, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,257588, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,177907, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,65, United-States, <=50K\n40, Private,309311, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,138975, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n43, Self-emp-not-inc,187778, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n19, Private,35865, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,35, United-States, <=50K\n50, Private,234373, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1485,40, United-States, <=50K\n17, ?,151141, 10th,6, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n39, Private,144688, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,50, United-States, <=50K\n43, Private,248094, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n43, Private,248094, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,213821, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n31, State-gov,55849, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,121712, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Federal-gov,164552, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1876,40, United-States, <=50K\n55, Private,223127, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,190514, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,75, United-States, <=50K\n29, Private,203797, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Private,378460, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,10520,0,60, United-States, >50K\n30, Private,105908, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,232356, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1672,55, United-States, <=50K\n23, Private,210526, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n71, Private,193530, 11th,7, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,75, United-States, <=50K\n22, ?,22966, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K\n21, Private,43535, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n62, ?,72486, HS-grad,9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,24, China, <=50K\n22, ?,229997, Some-college,10, Married-spouse-absent, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Private,183013, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,113364, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,20, United-States, <=50K\n27, Private,197380, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,298635, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Hong, >50K\n26, Private,213385, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n30, ?,108464, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,31007, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n26, Private,35917, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n45, Private,99385, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Canada, <=50K\n50, Private,48358, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n31, Private,241885, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,45, United-States, <=50K\n51, Private,24344, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Private,149686, 9th,5, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, State-gov,154432, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,35, United-States, <=50K\n29, Private,331875, 12th,8, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Dominican-Republic, <=50K\n26, Private,259585, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,24, United-States, <=50K\n51, Private,104748, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n32, Local-gov,144949, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n47, State-gov,199512, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,302438, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, ?,129155, 11th,7, Widowed, ?, Other-relative, Black, Female,0,0,40, United-States, <=50K\n49, Federal-gov,115784, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,96509, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K\n62, Private,226733, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n43, Self-emp-inc,244945, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n76, Private,243768, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,20, United-States, <=50K\n40, ?,351161, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,186934, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,89813, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n54, Self-emp-inc,129432, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n55, Self-emp-not-inc,184702, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,275291, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,12, United-States, <=50K\n20, Private,258298, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n39, Private,139743, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n26, Private,102476, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,10520,0,64, United-States, >50K\n20, Private,103840, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,42, United-States, <=50K\n28, Private,274579, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n56, Federal-gov,156842, Some-college,10, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, Private,101020, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n44, Federal-gov,68729, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n55, Private,141326, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n54, Self-emp-not-inc,168723, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,347166, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,13550,0,45, United-States, >50K\n34, Local-gov,213722, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,57, United-States, >50K\n42, Private,196797, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Female,0,0,38, United-States, <=50K\n50, Self-emp-inc,207246, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,75, United-States, <=50K\n34, Federal-gov,199934, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n23, Private,272185, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,33, United-States, <=50K\n27, ?,190650, Bachelors,13, Never-married, ?, Unmarried, Asian-Pac-Islander, Male,0,0,25, Philippines, <=50K\n81, ?,147097, Bachelors,13, Widowed, ?, Not-in-family, White, Male,0,0,5, United-States, <=50K\n47, Private,266281, 11th,7, Never-married, Machine-op-inspct, Unmarried, Black, Female,6849,0,40, United-States, <=50K\n57, Private,96779, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n65, ?,117162, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,56, United-States, >50K\n33, Private,188352, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n37, Private,359131, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,48, United-States, <=50K\n53, Private,198824, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, State-gov,68393, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,115613, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n42, Private,45363, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,121590, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,4787,0,40, United-States, >50K\n58, Local-gov,292379, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,482732, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,24, United-States, <=50K\n19, Private,198663, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n39, Private,230329, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n51, Private,29887, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,44, United-States, <=50K\n52, Private,194259, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, Germany, <=50K\n53, Private,126368, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, >50K\n50, Private,108446, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,220696, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,32008, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,72, United-States, <=50K\n30, Private,191777, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, ?, <=50K\n50, Private,185846, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n76, Private,127016, 7th-8th,4, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,102308, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,40, United-States, >50K\n24, Private,157894, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n26, Private,345405, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,2885,0,40, United-States, <=50K\n56, Self-emp-not-inc,94156, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n50, Private,145409, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n22, Private,190968, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,40, United-States, <=50K\n23, Local-gov,212803, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n51, Private,168660, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n58, Private,234481, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,131461, 9th,5, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,24, Haiti, <=50K\n45, Private,408773, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-not-inc,126117, HS-grad,9, Widowed, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,155489, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n42, Private,296749, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n44, State-gov,185832, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,46, United-States, >50K\n60, Private,43235, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,213152, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Local-gov,334267, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n61, ?,253101, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,24, United-States, <=50K\n43, Private,64631, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n44, Local-gov,193882, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,1340,40, United-States, <=50K\n63, Private,71800, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,41, United-States, <=50K\n46, Local-gov,170092, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,43, United-States, <=50K\n47, Private,198223, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,359796, Some-college,10, Divorced, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n43, Private,110556, HS-grad,9, Separated, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,196858, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n48, ?,112860, 10th,6, Married-civ-spouse, ?, Wife, Black, Female,0,0,35, United-States, <=50K\n61, Self-emp-not-inc,224784, Assoc-acdm,12, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,90, United-States, <=50K\n53, Federal-gov,271544, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,1977,40, United-States, >50K\n79, ?,142171, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,1409,0,35, United-States, <=50K\n44, Private,221172, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n54, Private,256916, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n22, Private,157332, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Federal-gov,192894, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, >50K\n18, Private,240183, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n25, Private,204338, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n24, Private,122166, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Iran, <=50K\n37, Local-gov,397877, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n51, Private,115066, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,2547,40, United-States, >50K\n35, Self-emp-not-inc,170174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,60, United-States, >50K\n59, Private,171015, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,34, United-States, <=50K\n46, Private,91262, Some-college,10, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n45, Local-gov,127678, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K\n19, Private,263338, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n22, Private,129508, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,28, United-States, <=50K\n41, Private,192107, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,93930, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Federal-gov,207537, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n22, Private,138542, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,35, United-States, <=50K\n29, Self-emp-not-inc,116207, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K\n22, Private,198244, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,39, United-States, <=50K\n34, Private,90614, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,2042,10, United-States, <=50K\n23, Private,211160, 12th,8, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,194630, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,3781,0,50, United-States, <=50K\n25, Private,161478, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n59, Private,144071, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,167005, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,55, United-States, <=50K\n55, Private,342121, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n77, Self-emp-not-inc,71676, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,1944,1, United-States, <=50K\n42, Private,124692, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,147236, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,145175, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,259323, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,154978, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Guatemala, <=50K\n60, ?,163946, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,127768, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Private,98588, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,192894, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,194848, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,34446, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n23, Local-gov,177265, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,45, United-States, <=50K\n30, Private,142977, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K\n45, Private,241350, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, >50K\n30, Private,154882, Prof-school,15, Widowed, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n17, Private,60562, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n22, Private,142566, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,176162, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Private,186303, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, Canada, >50K\n40, Private,237671, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n18, ?,184416, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,30, United-States, <=50K\n58, Private,68624, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n30, Private,229504, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n59, Private,340591, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3942,0,40, United-States, <=50K\n29, Private,262208, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,30, Jamaica, <=50K\n26, Private,236008, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Local-gov,214284, Bachelors,13, Widowed, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,10, Japan, <=50K\n33, Private,169496, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n21, ?,205940, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,195179, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,24, United-States, <=50K\n25, Private,469697, Some-college,10, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n19, ?,140242, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n44, Private,214415, Some-college,10, Separated, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n35, Private,452283, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,244172, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,231972, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n37, Private,412296, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Mexico, >50K\n32, Private,30497, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,189216, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K\n36, Private,268292, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, <=50K\n38, Private,69306, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n57, State-gov,111224, Bachelors,13, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,39, United-States, <=50K\n22, State-gov,309348, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K\n80, ?,174995, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, Canada, <=50K\n20, Private,210781, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n40, Private,286750, 11th,7, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,36, United-States, <=50K\n36, Self-emp-not-inc,321274, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,192936, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Private,72743, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n43, Private,187861, HS-grad,9, Separated, Transport-moving, Unmarried, White, Female,0,0,44, United-States, <=50K\n35, Private,179579, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,663394, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,302422, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n24, ?,154373, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, <=50K\n49, Local-gov,37353, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n26, Self-emp-not-inc,109609, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n47, Private,184402, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K\n20, Private,224640, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,405526, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,36385, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,2258,50, United-States, <=50K\n20, Private,147884, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,164231, 11th,7, Separated, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K\n25, Private,383306, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,417668, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,36, United-States, <=50K\n25, Private,161007, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n63, State-gov,99823, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,32, United-States, <=50K\n25, Private,37379, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K\n28, Private,148645, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,180477, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K\n28, Private,123147, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,4865,0,40, United-States, <=50K\n30, Private,111415, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n41, Local-gov,107327, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Local-gov,146565, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,4865,0,30, United-States, <=50K\n36, Private,267556, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,40, United-States, <=50K\n47, Private,284871, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n27, Private,194690, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,50, Mexico, <=50K\n32, Federal-gov,145983, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K\n52, Private,163998, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,99999,0,45, United-States, >50K\n50, Private,128478, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K\n21, Private,250647, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,30, Nicaragua, <=50K\n60, Private,226949, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K\n47, Private,157901, 11th,7, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,36, United-States, <=50K\n54, Self-emp-not-inc,33863, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n32, Local-gov,40444, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n61, Private,54373, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,52753, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1504,40, United-States, <=50K\n29, Self-emp-not-inc,104423, Some-college,10, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,4386,0,45, United-States, >50K\n36, Local-gov,305714, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,70, United-States, <=50K\n38, Local-gov,167440, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n59, Private,291529, 10th,6, Widowed, Machine-op-inspct, Not-in-family, White, Male,0,0,52, United-States, <=50K\n43, Private,243380, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,38619, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,10, United-States, <=50K\n42, Private,230684, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,40, United-States, <=50K\n33, Private,132601, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n47, Private,193285, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,5013,0,40, United-States, <=50K\n51, Private,279156, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n28, Private,339372, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Private,101265, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,43, United-States, <=50K\n23, Private,117789, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n31, Private,312667, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,255503, 11th,7, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K\n21, Private,221955, 9th,5, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K\n22, Private,139190, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n35, Private,185556, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n53, Federal-gov,84278, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n40, Private,114580, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,24, United-States, >50K\n36, Private,185405, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n33, Self-emp-not-inc,199539, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n23, Private,346480, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n51, Local-gov,349431, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, United-States, >50K\n31, Private,219619, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,48, United-States, <=50K\n28, Local-gov,127491, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,5721,0,40, United-States, <=50K\n26, Self-emp-not-inc,253899, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,155232, Bachelors,13, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,60, United-States, >50K\n43, Private,182437, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n19, Private,530454, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n46, Private,101430, 11th,7, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K\n49, Local-gov,358668, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n31, Private,90668, 10th,6, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,126141, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,238355, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n22, Private,194031, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n25, Private,117833, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1876,40, United-States, <=50K\n46, Private,249686, Prof-school,15, Separated, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n44, Self-emp-not-inc,219591, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,221757, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,80625, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,185407, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n34, Private,163110, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n34, ?,24504, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,159187, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,55, United-States, >50K\n21, Private,100462, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Female,2174,0,60, United-States, <=50K\n27, Private,192936, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,145011, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-inc,181196, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Self-emp-not-inc,37778, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n27, Private,60288, Masters,14, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,84231, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,48, United-States, <=50K\n24, Private,52028, 1st-4th,2, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,5, Vietnam, <=50K\n63, Private,318763, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,22, United-States, <=50K\n29, Private,168138, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,113530, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,321896, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,145791, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,131425, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,145214, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,4650,0,20, United-States, <=50K\n64, Local-gov,142166, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,99, United-States, <=50K\n20, Private,494784, HS-grad,9, Never-married, Sales, Other-relative, Black, Female,0,0,35, United-States, <=50K\n44, Self-emp-not-inc,172479, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024,0,60, United-States, >50K\n35, Private,184655, 11th,7, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n41, Local-gov,26669, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,191479, Some-college,10, Divorced, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K\n21, Private,86625, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, ?, <=50K\n64, State-gov,111795, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n42, Private,242564, 7th-8th,4, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,2205,40, United-States, <=50K\n31, Private,364657, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, >50K\n42, Self-emp-not-inc,436107, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,272476, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, >50K\n36, Federal-gov,47310, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, >50K\n23, Private,283796, 12th,8, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,30, Mexico, <=50K\n20, Private,161092, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,14, United-States, <=50K\n26, Local-gov,265230, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n56, Federal-gov,61885, Bachelors,13, Never-married, Transport-moving, Not-in-family, Black, Male,0,2001,65, United-States, <=50K\n40, Private,150471, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,183041, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K\n33, Private,176673, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n45, Federal-gov,235891, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, Columbia, <=50K\n41, Private,163287, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,43, United-States, >50K\n29, Private,164040, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,324561, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n48, Private,99127, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n38, Private,334999, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n29, Private,543477, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n35, Private,65876, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Local-gov,105866, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,30, United-States, <=50K\n27, Private,214858, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,154076, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n70, Private,280307, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, Cuba, <=50K\n30, Private,97723, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,45, United-States, <=50K\n24, Private,233499, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n76, Local-gov,259612, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,15, United-States, <=50K\n25, Private,236977, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,40, Mexico, <=50K\n39, Private,347814, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,56, United-States, <=50K\n36, Local-gov,197495, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,227594, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n60, Private,165441, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, ?,337488, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,30, United-States, <=50K\n54, Private,167552, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Haiti, >50K\n20, Private,396722, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Federal-gov,146538, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,51973, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Private,144778, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,169672, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,240137, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, Mexico, <=50K\n54, State-gov,103179, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n17, Private,172050, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K\n43, Private,178976, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,176185, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,2258,42, United-States, <=50K\n30, Private,158200, Prof-school,15, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,40, ?, <=50K\n38, Federal-gov,172571, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K\n54, Self-emp-not-inc,226735, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,45, United-States, <=50K\n39, Private,148015, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,52, United-States, <=50K\n32, Private,199529, Some-college,10, Separated, Tech-support, Not-in-family, Amer-Indian-Eskimo, Male,0,1980,40, United-States, <=50K\n61, Local-gov,35001, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,2885,0,40, United-States, <=50K\n24, ?,67586, Assoc-voc,11, Married-civ-spouse, ?, Wife, Black, Female,0,0,35, United-States, <=50K\n22, Private,88126, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,226296, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,452452, 10th,6, Never-married, Priv-house-serv, Own-child, Black, Female,0,0,20, United-States, <=50K\n20, Private,378546, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,25, United-States, <=50K\n53, Federal-gov,186087, HS-grad,9, Divorced, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K\n32, Private,27856, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n68, Self-emp-not-inc,234859, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n28, Private,71733, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K\n28, Private,207473, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, El-Salvador, <=50K\n54, Private,179291, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,56, Haiti, >50K\n21, ?,253190, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,48, United-States, <=50K\n52, Private,92968, Bachelors,13, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, ?, <=50K\n25, Private,209286, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,122889, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, India, >50K\n33, Private,112358, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K\n49, Private,176341, Bachelors,13, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female,0,0,40, India, <=50K\n58, Private,247276, 7th-8th,4, Widowed, Other-service, Not-in-family, Other, Female,0,0,30, United-States, <=50K\n45, Private,276087, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,24, United-States, >50K\n67, Private,257557, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,10566,0,40, United-States, <=50K\n42, Local-gov,177937, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, ?, <=50K\n69, Self-emp-inc,106395, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n61, Private,167138, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,213887, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,185647, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n19, Private,143360, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,34, United-States, <=50K\n31, Self-emp-not-inc,176862, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Federal-gov,97614, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n76, ?,224680, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,1258,20, United-States, <=50K\n53, Private,196763, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K\n46, Private,306183, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K\n43, Self-emp-not-inc,343061, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,4508,0,40, Cuba, <=50K\n48, ?,193047, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,348521, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2415,99, United-States, >50K\n59, Private,195835, 7th-8th,4, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,106273, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,38, United-States, <=50K\n40, Private,222756, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n63, Self-emp-inc,110610, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n44, ?,191982, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,10, Poland, <=50K\n46, Private,247286, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,219042, 10th,6, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Private,224566, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,1669,45, United-States, <=50K\n57, Private,204751, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n58, Private,113398, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K\n25, ?,170428, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,28, Taiwan, <=50K\n59, Private,258579, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,35, United-States, >50K\n36, Private,162424, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n29, Private,263005, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, Germany, <=50K\n49, Self-emp-inc,26502, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,6497,0,45, United-States, <=50K\n42, Private,369131, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n43, Local-gov,114859, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,17, United-States, <=50K\n46, Private,405309, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,323627, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,12, United-States, <=50K\n40, Private,106698, Assoc-acdm,12, Divorced, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,51506, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,117251, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K\n26, Private,106705, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,28, United-States, <=50K\n30, Private,217296, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K\n58, Private,34788, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K\n43, Private,143368, HS-grad,9, Divorced, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n53, Local-gov,86600, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n74, State-gov,117017, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,16, United-States, <=50K\n64, ?,104756, Some-college,10, Widowed, ?, Unmarried, White, Female,0,0,8, United-States, <=50K\n45, Private,55720, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n32, State-gov,481096, 5th-6th,3, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,10, United-States, <=50K\n23, ?,281668, 10th,6, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n38, Private,186145, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n42, Self-emp-not-inc,96524, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n24, Local-gov,187397, Some-college,10, Never-married, Protective-serv, Unmarried, Other, Male,1151,0,40, United-States, <=50K\n63, Private,181153, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n25, Local-gov,375170, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,35, United-States, <=50K\n37, Private,360743, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,420054, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K\n31, Private,137681, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,28419, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n44, Private,101214, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,44, United-States, >50K\n42, Local-gov,213019, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n45, Private,207540, Doctorate,16, Separated, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K\n52, Private,145333, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n40, Private,107306, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,195327, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,196126, Bachelors,13, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K\n17, Private,175465, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,14, United-States, <=50K\n27, Private,197905, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n71, Self-emp-inc,118119, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,50, United-States, >50K\n35, Private,172571, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,25051, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n26, Private,210714, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,52, United-States, >50K\n22, Private,183083, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,35, United-States, <=50K\n51, Private,99185, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n33, Private,283921, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,396467, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, >50K\n50, Private,158680, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,202091, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n21, Private,285127, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n53, Private,218630, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n32, Self-emp-inc,99309, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,165505, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n22, Private,122272, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n58, Private,147707, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n47, Federal-gov,44257, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K\n51, Self-emp-inc,194995, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n42, State-gov,345969, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n28, Private,31842, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,143582, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,35, Vietnam, <=50K\n50, Private,161438, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,317019, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n47, Self-emp-not-inc,158451, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K\n60, Private,225883, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,27, United-States, <=50K\n46, Self-emp-not-inc,176319, HS-grad,9, Married-civ-spouse, Sales, Own-child, White, Female,7298,0,40, United-States, >50K\n58, Self-emp-inc,258883, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n62, Private,26966, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,202812, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n59, Private,35411, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,190885, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n31, Private,182162, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,37, United-States, <=50K\n18, Private,352640, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n64, Self-emp-not-inc,213945, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n51, Self-emp-not-inc,135102, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n47, Self-emp-not-inc,102583, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K\n68, Private,225612, Bachelors,13, Widowed, Sales, Not-in-family, White, Male,0,0,35, United-States, >50K\n32, Private,241802, HS-grad,9, Married-civ-spouse, Other-service, Wife, Other, Female,0,0,40, United-States, <=50K\n39, Private,347434, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,43, Mexico, <=50K\n37, Private,305259, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, <=50K\n29, Private,140830, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n44, Private,291568, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0,0,40, United-States, <=50K\n46, Private,203067, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-not-inc,155106, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n19, ?,252752, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,35, United-States, <=50K\n65, ?,404601, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2414,0,30, United-States, <=50K\n52, Local-gov,100226, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n40, Private,63503, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n61, Private,95929, 9th,5, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,187618, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n61, Self-emp-not-inc,92178, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,220362, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,84, United-States, >50K\n32, Local-gov,209900, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K\n32, Private,272376, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,173854, Bachelors,13, Divorced, Prof-specialty, Other-relative, White, Male,0,0,35, United-States, >50K\n37, Private,278924, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,324568, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n51, Self-emp-inc,124963, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,211299, Assoc-voc,11, Never-married, Sales, Not-in-family, Black, Male,0,0,45, United-States, <=50K\n48, Private,192791, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n69, Private,182862, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,15831,0,40, United-States, >50K\n28, Private,46868, Masters,14, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Local-gov,31365, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n45, Private,148171, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, United-States, >50K\n18, Private,142647, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n60, Private,116230, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,108907, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, ?, <=50K\n19, Private,495982, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K\n18, Private,334026, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,25, United-States, <=50K\n33, Private,268571, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,213813, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,241667, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n37, Private,160920, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n50, Private,107265, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n19, ?,41609, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,10, United-States, <=50K\n28, Private,129460, 10th,6, Widowed, Adm-clerical, Unmarried, White, Female,0,2238,35, United-States, <=50K\n43, ?,109912, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,7, United-States, >50K\n23, Private,167424, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n47, Private,270079, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,325923, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,35, United-States, <=50K\n19, Private,194905, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K\n47, Local-gov,183486, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n36, Federal-gov,153066, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n62, Self-emp-inc,56248, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2415,60, United-States, >50K\n65, Private,105252, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n46, Self-emp-not-inc,168195, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,45, United-States, >50K\n35, Private,167735, 11th,7, Never-married, Craft-repair, Own-child, White, Male,6849,0,40, United-States, <=50K\n50, Private,146310, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,256504, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,6, United-States, <=50K\n17, Private,121425, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K\n33, Private,146440, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n57, ?,155259, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Self-emp-not-inc,98829, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n47, Self-emp-inc,239321, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n62, Self-emp-inc,134768, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n35, Private,556902, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n27, Private,47907, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K\n23, Private,114357, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,50, United-States, <=50K\n27, Private,189462, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1504,45, United-States, <=50K\n39, Private,90646, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,232914, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,38, United-States, <=50K\n24, Private,192201, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n23, Private,27776, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,137476, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K\n30, Private,100734, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,38, United-States, <=50K\n34, Private,111746, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,45, Portugal, <=50K\n32, Private,184833, 10th,6, Separated, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, Private,414721, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,1602,23, United-States, <=50K\n20, Private,151780, Assoc-voc,11, Never-married, Sales, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n38, State-gov,203628, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n18, Private,137363, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Private,172307, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,273403, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n36, State-gov,37931, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, >50K\n61, Private,97030, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n30, Private,54608, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n26, Private,108542, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,253814, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n45, Private,421412, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n47, Private,207140, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n19, Private,138153, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n29, Private,46987, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K\n51, Self-emp-inc,183173, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n34, Local-gov,229531, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n42, Self-emp-not-inc,320744, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3908,0,45, United-States, <=50K\n26, Private,257405, 5th-6th,3, Never-married, Farming-fishing, Other-relative, Black, Male,0,0,40, Mexico, <=50K\n20, State-gov,432052, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,15, United-States, <=50K\n43, Private,397280, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n20, Private,38001, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n27, Private,101618, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n46, Federal-gov,332727, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,115215, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,178449, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,49, United-States, <=50K\n42, Private,185267, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,32, United-States, <=50K\n23, Private,410439, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K\n29, Private,85572, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,42, United-States, >50K\n27, Private,83517, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K\n43, Self-emp-not-inc,194726, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n23, Private,322674, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Local-gov,34540, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,44, United-States, <=50K\n35, Local-gov,211073, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,61, United-States, >50K\n30, Private,194901, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n59, Private,117059, 11th,7, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n65, Self-emp-not-inc,78875, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,2290,0,40, United-States, <=50K\n28, Private,51461, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n79, Private,266119, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,92374, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,35, United-States, >50K\n54, Private,175262, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,208249, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,62, United-States, <=50K\n30, Private,196385, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,35, United-States, >50K\n22, ?,110622, Bachelors,13, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,15, Taiwan, <=50K\n34, Private,146980, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,65, United-States, <=50K\n18, Private,112974, 11th,7, Never-married, Prof-specialty, Other-relative, White, Male,0,0,3, United-States, <=50K\n40, Self-emp-not-inc,175943, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,15, United-States, >50K\n28, Private,163265, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,4508,0,40, United-States, <=50K\n18, Private,210932, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Private,145290, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,198992, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n77, ?,174887, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K\n41, Federal-gov,36651, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,40, United-States, >50K\n48, Private,190072, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n29, Private,49087, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n41, Private,126622, 11th,7, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,174189, 9th,5, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,118605, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n49, Self-emp-not-inc,377622, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n49, Private,157272, HS-grad,9, Separated, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K\n30, Private,78530, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,190391, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n62, State-gov,162678, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,103980, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,52, United-States, <=50K\n20, Private,293726, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Private,98350, Preschool,1, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n30, Private,207668, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,60, Hungary, <=50K\n29, Federal-gov,41013, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K\n50, Private,188186, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,1590,45, United-States, <=50K\n44, Federal-gov,320071, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,306908, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n62, Private,167652, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Private,173580, Some-college,10, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,273612, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n26, Private,195555, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Private,186446, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n22, Private,418405, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, Local-gov,41793, Masters,14, Separated, Prof-specialty, Not-in-family, White, Female,0,0,50, ?, <=50K\n26, Private,183965, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,354784, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n44, Private,198096, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n32, Private,732102, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,97847, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,196678, Preschool,1, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K\n19, Private,320014, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n54, Self-emp-inc,298215, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,295127, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,368140, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n37, Self-emp-not-inc,187411, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, ?, <=50K\n22, ?,121070, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K\n34, Private,212163, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K\n35, Self-emp-not-inc,108198, HS-grad,9, Divorced, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0,0,15, United-States, <=50K\n42, Federal-gov,294431, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n47, Federal-gov,202560, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n29, Self-emp-inc,266070, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,80, United-States, <=50K\n34, Private,346122, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-inc,308686, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K\n62, Self-emp-inc,236096, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,187711, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,238959, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n47, Private,93557, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,329980, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,125010, Assoc-voc,11, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,30, United-States, <=50K\n60, Self-emp-inc,90915, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,289731, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n74, ?,33114, 10th,6, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male,1797,0,30, United-States, <=50K\n63, Private,206052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,191385, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n44, ?,268804, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,30, United-States, <=50K\n40, Self-emp-inc,191429, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n35, Self-emp-not-inc,199753, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K\n50, Local-gov,92486, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,171088, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K\n33, Private,112820, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,32855, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n17, Private,142964, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n47, Private,89146, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K\n51, ?,147015, Some-college,10, Divorced, ?, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n26, Private,291968, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Local-gov,29235, Some-college,10, Married-civ-spouse, Protective-serv, Wife, White, Female,0,0,40, France, >50K\n55, Private,238216, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, State-gov,323726, Some-college,10, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n54, Private,141663, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n19, ?,218471, HS-grad,9, Never-married, ?, Own-child, White, Female,0,1602,30, United-States, <=50K\n32, Private,118551, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n52, Local-gov,35092, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,139703, HS-grad,9, Married-spouse-absent, Sales, Unmarried, Black, Female,0,0,28, Jamaica, <=50K\n39, Federal-gov,206190, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n59, Self-emp-not-inc,178353, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n55, Federal-gov,169133, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,103179, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n31, Private,354464, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,124651, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,25, United-States, <=50K\n30, Private,60426, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n47, Federal-gov,98726, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,133861, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,180303, Bachelors,13, Divorced, Craft-repair, Unmarried, Asian-Pac-Islander, Male,0,0,47, Iran, <=50K\n33, Private,221324, Assoc-voc,11, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Private,325658, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n32, Private,210562, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,152249, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,35, Mexico, <=50K\n29, Private,178649, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,20, France, <=50K\n41, State-gov,48997, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n39, Private,243409, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n34, Private,162442, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n23, Private,203078, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Male,0,0,24, United-States, <=50K\n53, Self-emp-inc,155983, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n45, Self-emp-not-inc,182677, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Thailand, <=50K\n34, ?,170276, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,10, United-States, >50K\n47, Private,105381, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, ?,256240, 7th-8th,4, Married-civ-spouse, ?, Own-child, White, Male,0,0,60, United-States, <=50K\n42, Private,210275, Masters,14, Divorced, Tech-support, Unmarried, Black, Female,4687,0,35, United-States, >50K\n53, Private,150980, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,40, United-States, <=50K\n38, Self-emp-inc,141584, HS-grad,9, Divorced, Sales, Unmarried, White, Male,0,0,55, United-States, <=50K\n26, Private,113571, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K\n18, Private,154089, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n43, Private,50197, 10th,6, Separated, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n26, Private,132572, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,32, United-States, <=50K\n47, Private,238185, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,112754, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, >50K\n21, ?,357029, Some-college,10, Married-civ-spouse, ?, Wife, Black, Female,2105,0,20, United-States, <=50K\n32, State-gov,213389, Some-college,10, Divorced, Protective-serv, Unmarried, White, Female,0,1726,38, United-States, <=50K\n48, Self-emp-inc,287647, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,55, United-States, >50K\n39, Private,150061, Masters,14, Divorced, Exec-managerial, Unmarried, Black, Female,15020,0,60, United-States, >50K\n58, Self-emp-inc,143266, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,68006, 7th-8th,4, Never-married, Other-service, Other-relative, White, Female,0,0,60, United-States, <=50K\n40, Private,287079, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,55, United-States, <=50K\n33, Private,223212, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n74, Self-emp-not-inc,173929, Doctorate,16, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,25, United-States, >50K\n49, Self-emp-not-inc,182211, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,55, United-States, <=50K\n56, Self-emp-not-inc,62539, 11th,7, Widowed, Other-service, Unmarried, White, Female,0,0,65, Greece, >50K\n29, Private,157612, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,14344,0,40, United-States, >50K\n25, Private,305472, Assoc-acdm,12, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,48, United-States, <=50K\n57, Private,548256, 12th,8, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Private,40295, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,112403, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,2354,0,40, United-States, <=50K\n59, Private,31137, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,116138, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,27828,0,60, United-States, >50K\n28, ?,127833, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n19, Private,201743, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n40, Private,240027, Some-college,10, Never-married, Sales, Unmarried, Black, Female,0,0,45, United-States, <=50K\n28, Private,129882, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, ?,355890, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,55, United-States, >50K\n20, Private,107658, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,10, Canada, <=50K\n58, Private,136841, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999,0,35, United-States, >50K\n19, Private,146679, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Male,0,0,30, United-States, <=50K\n75, ?,35724, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K\n24, Federal-gov,42251, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n31, Private,113838, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n28, Self-emp-not-inc,282398, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n41, Private,33331, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n23, Federal-gov,41031, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n46, Private,155489, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, >50K\n33, Private,53042, 12th,8, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n34, Private,174789, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n47, Local-gov,203067, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n81, Private,177408, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2377,26, United-States, >50K\n45, Private,216626, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, Other, Male,0,0,40, Columbia, <=50K\n35, Private,93034, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K\n59, Self-emp-not-inc,188003, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n46, Local-gov,65535, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n39, Private,366757, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n23, Private,414545, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K\n25, Private,295919, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,34378, 1st-4th,2, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-inc,58359, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n25, Private,476334, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n32, Private,255424, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n34, Local-gov,175856, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,124692, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,118551, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n78, ?,292019, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n31, Private,288566, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,43, United-States, >50K\n61, Private,137733, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K\n22, Private,39432, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,138537, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K\n37, Private,709445, HS-grad,9, Separated, Craft-repair, Other-relative, Black, Male,0,0,40, United-States, <=50K\n35, Private,194809, 11th,7, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Self-emp-inc,89041, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n37, ?,299090, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n18, Private,159561, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K\n37, Private,236328, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n46, Private,269045, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n25, ?,196627, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Federal-gov,323798, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,463072, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n32, Private,199655, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Other, Female,0,1740,40, ?, <=50K\n25, Self-emp-inc,98756, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,50, United-States, <=50K\n50, State-gov,161075, HS-grad,9, Widowed, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n18, Private,192485, 12th,8, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,20, United-States, <=50K\n25, Private,201579, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n23, Private,117606, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, ?,177487, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,237731, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,2829,0,65, United-States, <=50K\n37, Private,60313, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n37, Private,270059, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,25236,0,25, United-States, >50K\n27, Private,169958, 5th-6th,3, Never-married, Craft-repair, Own-child, White, Male,0,0,40, ?, <=50K\n19, Private,240686, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n52, Local-gov,124793, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Self-emp-not-inc,113948, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,0,0,45, United-States, <=50K\n17, ?,241021, 12th,8, Never-married, ?, Own-child, Other, Female,0,0,40, United-States, <=50K\n21, Private,147655, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,38876, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n55, Private,117299, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n20, ?,114813, 10th,6, Separated, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,136310, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n41, Federal-gov,153132, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n23, Private,197552, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n33, Private,69748, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n29, Private,175738, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n50, State-gov,78649, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n37, Self-emp-inc,188774, 11th,7, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,60, ?, <=50K\n48, Private,155659, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n19, Federal-gov,215891, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n40, Private,144928, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,33688, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Female,0,1669,70, United-States, <=50K\n65, Private,262446, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n44, Federal-gov,191295, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,48, United-States, <=50K\n32, Private,279173, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n41, Private,153031, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n28, Private,202239, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n44, Federal-gov,469454, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,48, United-States, >50K\n39, Local-gov,164156, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Female,0,0,55, United-States, <=50K\n59, Private,196482, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,176185, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, France, >50K\n34, Private,287315, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,117210, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,41610, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,160703, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K\n31, Private,80511, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,44, United-States, <=50K\n39, Private,219155, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K\n35, Private,106347, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n37, Self-emp-not-inc,68899, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2129,40, United-States, <=50K\n44, Self-emp-not-inc,163985, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,32, United-States, >50K\n28, Private,270887, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K\n17, Private,205726, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n23, Private,218899, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,60, United-States, <=50K\n35, Private,186183, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,80, United-States, >50K\n19, Private,248749, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n30, Private,197558, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,176514, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, ?,116820, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K\n27, Private,128730, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,10520,0,65, Greece, >50K\n37, Private,215503, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,45, United-States, >50K\n44, Private,226129, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,175856, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,55, United-States, >50K\n43, Private,281138, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,98061, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,260560, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n23, Private,289909, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n51, Private,59590, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K\n24, Private,236769, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,423616, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,24, United-States, >50K\n24, Private,291407, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n53, Self-emp-inc,100029, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,204494, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,56, United-States, >50K\n24, Private,201680, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,154308, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n31, Private,150324, 11th,7, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n38, Local-gov,331609, Some-college,10, Widowed, Transport-moving, Not-in-family, Black, Female,0,0,47, United-States, <=50K\n28, Private,100829, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n38, Private,203169, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,122075, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Private,178778, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,276345, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n48, Private,233511, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,289448, Assoc-voc,11, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n31, Private,173350, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n36, Private,130589, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n62, Private,94318, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,297531, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n55, Private,129762, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n21, Private,182614, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, Poland, <=50K\n60, Private,120067, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n41, Private,182370, Assoc-acdm,12, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n43, State-gov,60949, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,190511, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,188195, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,89534, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-inc,125831, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1887,55, United-States, >50K\n23, Private,183358, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K\n38, ?,75024, 7th-8th,4, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,251120, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, England, <=50K\n35, Private,108946, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,93223, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K\n61, Private,147393, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n71, ?,45801, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,70, United-States, <=50K\n35, State-gov,225385, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Federal-gov,23892, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,179668, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Scotland, <=50K\n27, Self-emp-not-inc,404998, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,68882, 1st-4th,2, Widowed, Other-service, Unmarried, White, Female,0,0,35, Portugal, <=50K\n55, Self-emp-not-inc,194065, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,357540, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2002,55, United-States, <=50K\n33, Private,185336, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n25, State-gov,152503, Some-college,10, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n52, Private,167794, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K\n46, Private,96552, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,17, United-States, <=50K\n34, Private,169527, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,4386,0,20, United-States, <=50K\n52, State-gov,254285, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,32509, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,125492, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n36, Self-emp-inc,186035, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n69, ?,168794, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,48, United-States, <=50K\n34, Private,191856, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,7298,0,40, United-States, >50K\n36, Private,215503, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K\n31, Private,187560, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,2174,0,40, United-States, <=50K\n31, Self-emp-not-inc,252752, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,2415,40, United-States, >50K\n38, Local-gov,210991, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n57, Local-gov,190748, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,35, United-States, <=50K\n24, Private,117767, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n37, Private,301070, HS-grad,9, Divorced, Farming-fishing, Unmarried, White, Male,0,0,45, United-States, <=50K\n69, Self-emp-not-inc,204645, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,9386,0,72, United-States, >50K\n39, Private,186183, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,131808, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n34, State-gov,156292, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n21, Private,124589, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,262819, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n61, Private,95500, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,241306, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n29, Private,238680, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,55, Outlying-US(Guam-USVI-etc), <=50K\n18, ?,42293, 10th,6, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n41, Local-gov,168071, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K\n42, Private,337629, 12th,8, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, ?, >50K\n52, Private,168001, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n38, Private,97759, 12th,8, Never-married, Other-service, Unmarried, White, Female,0,0,17, United-States, <=50K\n51, Self-emp-not-inc,107096, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n55, Private,76860, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n20, Private,70076, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,312017, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,174138, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,125892, Bachelors,13, Divorced, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K\n22, Private,210474, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, State-gov,157332, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n28, Private,30771, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,319768, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, France, >50K\n34, Private,209101, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,55, United-States, >50K\n25, Private,324609, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n48, Private,268234, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Local-gov,178109, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,43, United-States, <=50K\n31, Private,25955, 9th,5, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male,0,0,35, United-States, <=50K\n65, ?,123484, HS-grad,9, Widowed, ?, Other-relative, White, Female,0,0,25, United-States, <=50K\n56, Local-gov,129762, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n22, Self-emp-not-inc,108506, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, Amer-Indian-Eskimo, Male,0,0,75, United-States, <=50K\n27, Private,241607, Bachelors,13, Never-married, Tech-support, Other-relative, White, Male,0,0,50, United-States, <=50K\n27, Federal-gov,214385, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n30, Local-gov,183000, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n33, Private,290763, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,171924, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, >50K\n19, Private,97189, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,22, United-States, <=50K\n42, Private,195096, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K\n37, Federal-gov,329088, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n26, Private,58371, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n32, ?,256371, 12th,8, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n43, Private,35824, Some-college,10, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Private,173271, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,391349, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n24, Private,86153, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,295855, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,70, United-States, <=50K\n33, Self-emp-not-inc,327902, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,285102, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Taiwan, >50K\n57, Private,178353, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n45, Private,28119, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,7, United-States, <=50K\n42, Private,197522, Some-college,10, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n25, Private,108542, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,35, United-States, <=50K\n56, Private,179781, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,126974, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,180060, Bachelors,13, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,50, United-States, <=50K\n35, Local-gov,38948, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K\n28, Private,271572, 9th,5, Never-married, Other-service, Other-relative, White, Male,0,0,52, United-States, <=50K\n41, Private,177305, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n26, Private,238367, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,172232, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n22, Private,153805, HS-grad,9, Never-married, Other-service, Unmarried, Other, Male,0,0,20, Puerto-Rico, <=50K\n30, Private,26543, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,109067, Bachelors,13, Separated, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,213716, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n49, Private,149809, Preschool,1, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K\n27, Private,185670, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n43, Federal-gov,233851, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n68, ?,192052, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,2457,40, United-States, <=50K\n41, Private,193524, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, <=50K\n25, Private,213385, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,38238, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n68, Private,104438, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Ireland, >50K\n17, Private,202344, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n45, Self-emp-not-inc,43434, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,102147, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n30, Private,231826, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n49, State-gov,247378, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n42, Private,78765, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,45, United-States, >50K\n29, Private,184078, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n21, Local-gov,102942, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,2001,40, United-States, <=50K\n20, Private,258430, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,19, United-States, <=50K\n59, Private,244554, 11th,7, Divorced, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n26, Private,252565, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n25, Private,262778, Masters,14, Never-married, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K\n33, Private,162572, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K\n35, Private,65706, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Federal-gov,102569, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n66, Private,350498, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,28, United-States, <=50K\n67, ?,159542, 5th-6th,3, Widowed, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,142383, Assoc-acdm,12, Never-married, Sales, Not-in-family, Other, Male,0,0,36, United-States, <=50K\n38, Private,229236, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,40, Puerto-Rico, <=50K\n72, Private,56559, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,12, United-States, <=50K\n21, Private,27049, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K\n39, Private,36376, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n41, Private,194360, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K\n22, Private,246965, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,12, United-States, <=50K\n49, Self-emp-inc,191277, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n24, Private,268525, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,32, United-States, <=50K\n25, Private,456604, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,223464, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,341797, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,174461, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,392167, 10th,6, Divorced, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K\n60, Private,210064, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n67, ?,233182, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,7, United-States, <=50K\n77, Local-gov,177550, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,3818,0,14, United-States, <=50K\n62, Private,143312, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K\n22, Private,326334, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n37, Private,179088, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,207637, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K\n52, Federal-gov,37289, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K\n31, Private,36069, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n23, Federal-gov,53245, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-inc,399904, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,50, Mexico, <=50K\n38, Self-emp-inc,199346, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, <=50K\n23, Private,343019, 10th,6, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, State-gov,232742, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,390472, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,290124, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n23, Private,242912, Some-college,10, Never-married, Other-service, Own-child, White, Female,4650,0,40, United-States, <=50K\n39, Private,70240, 5th-6th,3, Married-spouse-absent, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n38, Local-gov,286405, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K\n25, Private,153841, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,137367, Bachelors,13, Never-married, Sales, Unmarried, Asian-Pac-Islander, Male,0,0,44, Philippines, <=50K\n66, Private,313255, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, <=50K\n30, Private,100734, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n32, Private,248584, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,60001, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,335065, 7th-8th,4, Never-married, Sales, Own-child, White, Male,0,0,30, Mexico, <=50K\n20, Private,219262, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n20, Private,186830, HS-grad,9, Never-married, Transport-moving, Other-relative, Black, Male,0,0,45, United-States, <=50K\n34, Private,226385, Masters,14, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,609789, Assoc-acdm,12, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n40, Private,307767, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n33, Private,217460, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n30, Private,104052, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,1741,42, United-States, <=50K\n41, Local-gov,160893, Preschool,1, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,30, United-States, <=50K\n20, Private,68358, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K\n40, Self-emp-not-inc,243636, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n44, Self-emp-not-inc,71269, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,71898, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,35, Philippines, <=50K\n38, ?,212048, Prof-school,15, Divorced, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n30, Local-gov,115040, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,25, United-States, <=50K\n45, Private,111994, Some-college,10, Divorced, Sales, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n25, Private,210794, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n22, ?,88126, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,570821, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n63, ?,146196, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n55, State-gov,169482, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,63577, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n22, Private,208946, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,26598, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,189203, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,183892, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n82, ?,194590, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K\n18, Private,188616, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n60, Private,116707, 11th,7, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,99199, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n39, Local-gov,183620, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Female,0,0,40, United-States, >50K\n34, Private,110476, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,157043, Masters,14, Divorced, Prof-specialty, Not-in-family, Black, Female,2202,0,30, ?, <=50K\n53, Private,150726, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,214695, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,60, United-States, <=50K\n37, Private,172694, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,50, United-States, <=50K\n25, Private,344804, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, Mexico, <=50K\n33, Private,319422, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, Peru, <=50K\n34, State-gov,327902, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n35, Private,438176, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,65, United-States, <=50K\n51, Private,197656, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n33, Private,219838, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,35561, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n25, ?,156848, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n56, Private,190257, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,156464, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,85, England, >50K\n36, Private,65624, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,201699, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,349910, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, >50K\n88, Self-emp-not-inc,187097, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,264314, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, Columbia, <=50K\n40, Self-emp-not-inc,282678, Masters,14, Separated, Exec-managerial, Unmarried, White, Female,0,0,20, United-States, <=50K\n21, Private,188923, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,55, United-States, <=50K\n46, Private,114797, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,36, United-States, <=50K\n56, Private,245215, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n36, Self-emp-not-inc,36270, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n67, Self-emp-not-inc,107138, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,77820, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n20, Private,39477, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,58305, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1573,40, United-States, <=50K\n23, Private,359759, HS-grad,9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n19, ?,249147, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n19, Private,44797, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,15, United-States, <=50K\n25, Private,164488, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,48413, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,261276, Some-college,10, Never-married, ?, Own-child, Black, Female,0,1602,40, Cambodia, <=50K\n31, Self-emp-not-inc,36592, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,91, United-States, <=50K\n33, Private,280923, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n33, Federal-gov,29617, Some-college,10, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n45, Self-emp-inc,208802, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,25236,0,36, United-States, >50K\n35, Private,189240, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n20, ?,37932, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,181705, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,147548, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,85, United-States, <=50K\n51, Self-emp-not-inc,306784, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K\n45, ?,260953, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n45, State-gov,190406, Prof-school,15, Divorced, Prof-specialty, Unmarried, Black, Male,25236,0,36, United-States, >50K\n24, Private,230229, 5th-6th,3, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K\n28, Private,46987, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,2174,0,36, United-States, <=50K\n63, Private,301108, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,22, United-States, <=50K\n35, Private,263081, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, United-States, >50K\n25, Self-emp-not-inc,37741, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n36, Private,115834, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,7298,0,55, United-States, >50K\n44, Private,150076, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n49, Self-emp-not-inc,148254, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Female,0,0,28, United-States, <=50K\n52, Private,183611, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,258768, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,287658, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, <=50K\n51, Private,95946, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n49, Private,31267, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,302149, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,7298,0,40, Philippines, >50K\n28, Private,250135, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,176073, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n65, Private,23580, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,163665, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Federal-gov,43953, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,144860, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K\n58, Self-emp-not-inc,61474, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n57, Private,141570, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1977,40, United-States, >50K\n40, Private,225660, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K\n42, Private,336891, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,210164, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,171080, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n42, Private,143342, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,281627, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,409922, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n65, ?,224472, Prof-school,15, Never-married, ?, Not-in-family, White, Male,25124,0,80, United-States, >50K\n29, Private,157262, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n31, Private,144949, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n71, Local-gov,303860, Masters,14, Widowed, Exec-managerial, Not-in-family, White, Male,2050,0,20, United-States, <=50K\n34, Private,104293, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,195481, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n40, Private,193995, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n67, Private,105216, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n40, Private,147206, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,173585, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,18, United-States, <=50K\n38, Private,187870, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K\n38, Private,248919, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Guatemala, <=50K\n42, Private,280410, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, Haiti, <=50K\n36, State-gov,170861, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K\n23, Self-emp-not-inc,409230, 1st-4th,2, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n56, Private,340171, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n36, Private,41017, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, >50K\n22, Private,416356, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n39, Private,261504, 12th,8, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, State-gov,205555, Prof-school,15, Divorced, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n44, Private,245317, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, >50K\n38, Private,153685, 11th,7, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,52, United-States, <=50K\n19, ?,169758, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,99374, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n57, Local-gov,139452, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, <=50K\n54, Private,227832, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Self-emp-not-inc,213024, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,30, United-States, <=50K\n22, ?,24008, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,72, United-States, <=50K\n63, Self-emp-not-inc,33487, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-inc,187934, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,20, Poland, <=50K\n26, Private,421561, 11th,7, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K\n40, Private,109969, 11th,7, Divorced, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K\n20, Private,116830, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,117166, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2635,0,40, United-States, <=50K\n28, Private,106951, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,42, United-States, <=50K\n30, Private,89625, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,5, United-States, >50K\n42, Private,194537, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,144002, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n21, Private,202214, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,109762, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Private,292570, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n67, Private,105252, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,7978,0,35, United-States, <=50K\n65, Private,94552, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Local-gov,46401, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n18, Private,151150, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,27, United-States, <=50K\n31, Private,197689, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n36, Self-emp-inc,180477, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n20, Private,181761, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,381153, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,165474, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,39, United-States, <=50K\n38, Federal-gov,190174, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n17, Private,295991, 10th,6, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n52, Without-pay,198262, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K\n34, Private,190385, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n30, ?,411560, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n49, Private,262116, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K\n45, Private,178922, 9th,5, Never-married, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K\n46, Private,192963, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,2415,35, Philippines, >50K\n34, Self-emp-inc,209538, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n21, Self-emp-not-inc,103277, 12th,8, Married-civ-spouse, Adm-clerical, Wife, White, Female,4508,0,30, Portugal, <=50K\n17, Private,216086, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n23, Private,636017, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n32, Private,155781, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,136873, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, State-gov,122066, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, >50K\n27, State-gov,346406, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,50, United-States, <=50K\n43, Private,117915, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,19914, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,50, Philippines, <=50K\n55, Private,255364, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n31, Private,703107, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n34, Private,62374, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K\n34, Private,96245, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,348796, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,136873, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K\n35, Private,388252, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Private,47783, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n62, Private,194167, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,2174,0,40, United-States, <=50K\n40, Federal-gov,544792, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,434463, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,39, United-States, <=50K\n32, Private,317219, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1590,40, United-States, <=50K\n70, Private,221603, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,34, United-States, <=50K\n23, Private,233711, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,111567, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,48, United-States, <=50K\n57, Private,79830, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,192259, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n24, Private,239663, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n41, Local-gov,34987, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n38, Self-emp-not-inc,409189, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, <=50K\n48, Private,135525, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,152159, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n18, Private,141363, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,214816, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,42907, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,48, United-States, <=50K\n30, Private,161815, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n42, Private,127314, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n48, Private,395368, Some-college,10, Divorced, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K\n70, Private,184176, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K\n37, Private,112660, 9th,5, Divorced, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n51, Private,183709, Assoc-voc,11, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,434114, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n59, Self-emp-not-inc,165315, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,43, United-States, >50K\n57, Private,190997, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,335533, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n26, Private,176146, 5th-6th,3, Separated, Craft-repair, Not-in-family, Other, Male,0,0,35, Mexico, <=50K\n19, Private,272063, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n34, Private,169564, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n56, Private,188856, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,8614,0,55, United-States, >50K\n25, Private,69847, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,198759, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,80, United-States, >50K\n22, Private,175431, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n32, Private,228357, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,40, ?, <=50K\n72, Self-emp-not-inc,284120, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,109133, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,167336, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K\n76, ?,42209, 9th,5, Widowed, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K\n37, Private,282951, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,303155, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n44, Private,261899, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, <=50K\n33, Private,168030, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298,0,21, United-States, >50K\n53, State-gov,71417, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,239130, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n69, Private,200560, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,20, United-States, <=50K\n20, Private,157541, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,27, United-States, <=50K\n33, Private,255004, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n47, Private,230136, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,60, United-States, >50K\n50, Local-gov,124963, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,35, United-States, >50K\n22, Private,39615, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n20, Private,47678, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,281315, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n23, Private,176123, HS-grad,9, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n24, ?,165350, HS-grad,9, Separated, ?, Not-in-family, Black, Male,0,0,50, Germany, <=50K\n32, Private,235862, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n41, Private,142579, Bachelors,13, Widowed, Sales, Unmarried, Black, Male,0,0,50, United-States, <=50K\n35, Private,38294, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,111483, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,189850, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K\n34, State-gov,145874, Doctorate,16, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,20, China, <=50K\n23, Private,139012, Assoc-voc,11, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n30, Local-gov,211654, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n55, Local-gov,173090, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K\n26, Private,104834, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1669,40, United-States, <=50K\n42, ?,195124, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,60, Dominican-Republic, <=50K\n39, Private,32146, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n52, Private,282674, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K\n42, Private,190403, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Male,0,0,60, Canada, <=50K\n25, Private,247025, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,3325,0,48, United-States, <=50K\n27, Private,198258, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n30, Self-emp-not-inc,172748, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n23, State-gov,287988, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K\n47, Self-emp-not-inc,122307, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K\n58, ?,175017, Bachelors,13, Divorced, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K\n18, Private,170183, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n52, Private,150812, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n24, Private,241185, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K\n58, Self-emp-inc,174864, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n35, Private,30529, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,301637, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,423222, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,60, United-States, >50K\n43, Private,214781, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K\n21, Private,242912, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,35, United-States, <=50K\n52, Private,191529, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1740,60, United-States, <=50K\n24, Private,117363, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n22, Private,333158, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,48, United-States, <=50K\n39, Private,193260, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,25, Mexico, <=50K\n34, State-gov,278378, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n58, Private,111394, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,102476, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K\n29, Private,26451, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n67, ?,209137, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,210945, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,35, Haiti, <=50K\n62, Local-gov,115023, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,53833, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,150057, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K\n18, Private,128086, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,18, United-States, <=50K\n25, Private,28473, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,155509, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n56, Private,165315, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, ?, <=50K\n30, Private,171889, Prof-school,15, Never-married, Tech-support, Own-child, White, Female,0,0,24, United-States, <=50K\n41, Local-gov,185057, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n59, Private,277034, HS-grad,9, Divorced, Tech-support, Unmarried, White, Male,0,0,60, United-States, >50K\n36, Private,166606, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,97453, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,54, United-States, <=50K\n27, Private,136094, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n19, ?,61855, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,30, United-States, <=50K\n30, Private,182771, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,15, China, <=50K\n47, Private,418961, Assoc-voc,11, Divorced, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K\n39, Private,106961, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,81846, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n44, Private,105936, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,36425, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,595088, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,63, United-States, <=50K\n38, Private,149018, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,229613, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,33521, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,70539, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,4386,0,50, United-States, <=50K\n53, State-gov,105728, HS-grad,9, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0,0,28, United-States, >50K\n31, Private,193215, Some-college,10, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0,0,50, United-States, <=50K\n18, Private,137363, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-inc,104892, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n30, Private,149427, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n19, State-gov,176634, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,183279, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,225775, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,202091, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,60, United-States, <=50K\n36, Private,123151, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n22, Private,168187, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K\n42, Federal-gov,33521, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n33, State-gov,243678, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,164898, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, ?,262280, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,3781,0,40, United-States, <=50K\n33, State-gov,290614, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,199265, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n30, Private,207668, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n18, State-gov,30687, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K\n24, State-gov,27939, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,24, ?, <=50K\n17, Private,438996, 10th,6, Never-married, Other-service, Other-relative, White, Male,0,0,40, Mexico, <=50K\n48, Private,152915, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, ?,186030, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K\n46, Local-gov,297759, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Private,171242, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K\n28, Private,206088, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,182792, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,167725, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, <=50K\n43, Private,160674, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,194710, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,255027, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,204641, 10th,6, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,50, United-States, <=50K\n20, State-gov,177787, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n29, Private,54932, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,35, United-States, >50K\n54, Self-emp-not-inc,91506, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K\n34, Private,198634, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,227146, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n59, Private,135647, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n40, Private,55508, 7th-8th,4, Divorced, Farming-fishing, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,174912, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,175925, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,157486, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n49, Local-gov,329144, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,44, United-States, >50K\n67, ?,81761, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K\n49, Self-emp-not-inc,102318, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K\n30, Federal-gov,266463, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n56, Federal-gov,107314, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n29, Private,114158, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,124052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,144301, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,42, United-States, <=50K\n28, Private,176683, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,70, United-States, >50K\n23, Private,234663, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,178948, HS-grad,9, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,50, United-States, <=50K\n37, Self-emp-not-inc,607848, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,202937, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n32, Federal-gov,83413, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, >50K\n26, Private,212798, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n57, Federal-gov,192258, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,112497, 9th,5, Married-civ-spouse, Sales, Own-child, White, Male,0,0,50, United-States, >50K\n30, Private,97521, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,160972, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n21, Private,322931, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n22, Private,403519, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,330174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,278155, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,39054, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n57, Private,170287, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,336643, Assoc-voc,11, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,264166, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,45, Columbia, <=50K\n44, Local-gov,433705, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, >50K\n28, Private,27044, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K\n42, Private,165599, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,159759, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,385092, Some-college,10, Divorced, Prof-specialty, Own-child, White, Female,0,0,36, United-States, <=50K\n42, Private,188808, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Male,0,0,30, United-States, <=50K\n30, Private,167476, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n21, State-gov,194096, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n59, Private,182460, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, >50K\n21, ?,102323, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n56, Private,232139, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,341741, Preschool,1, Never-married, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K\n21, Private,206008, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,50, United-States, <=50K\n48, Private,344415, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,37, United-States, >50K\n35, State-gov,372130, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K\n43, Private,27766, Bachelors,13, Separated, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, >50K\n23, Private,140764, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n17, ?,161259, 10th,6, Never-married, ?, Other-relative, White, Male,0,0,12, United-States, <=50K\n41, Private,22201, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, >50K\n35, Self-emp-inc,187046, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n22, Private,137591, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n53, Private,274276, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,341757, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,218542, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n44, Local-gov,190020, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,221436, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Cuba, >50K\n39, Self-emp-not-inc,52187, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,158776, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,51543, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K\n17, Private,146329, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,23, United-States, <=50K\n31, Private,397467, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,105592, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,12, United-States, <=50K\n39, Private,78171, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n46, State-gov,55377, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n31, Private,258932, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,80, Italy, <=50K\n27, Private,38606, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1504,45, United-States, <=50K\n18, Private,219841, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n46, Private,156926, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n55, Private,160362, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,192161, Bachelors,13, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,43, United-States, <=50K\n53, Private,208570, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,26, United-States, <=50K\n44, Self-emp-not-inc,182771, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,48, South, >50K\n43, Private,151089, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n50, Private,163002, HS-grad,9, Separated, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n56, Private,155657, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,20, Yugoslavia, <=50K\n27, Private,217530, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n20, Private,244406, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n18, Local-gov,152182, 10th,6, Never-married, Protective-serv, Own-child, White, Female,0,0,6, United-States, <=50K\n34, Private,55717, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,50, United-States, >50K\n38, Private,201454, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Self-emp-inc,144371, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, United-States, <=50K\n55, Private,277034, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,462832, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, Black, Female,0,0,40, United-States, >50K\n26, Private,200681, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n54, State-gov,119565, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Puerto-Rico, >50K\n22, Private,192017, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Local-gov,84808, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,100154, 10th,6, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,169383, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n19, Without-pay,43887, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K\n45, Private,54260, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,99, United-States, <=50K\n53, Self-emp-not-inc,159876, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,3103,0,72, United-States, <=50K\n46, Private,160474, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,1590,43, United-States, <=50K\n25, Private,476334, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n90, Private,52386, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n33, Private,83671, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n45, Private,172960, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,70, United-States, <=50K\n47, Private,191957, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K\n38, Local-gov,40955, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K\n35, ?,98080, Prof-school,15, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,4787,0,45, Japan, >50K\n37, Private,175643, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n53, State-gov,197184, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n56, Private,187295, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,40822, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n44, Private,228729, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, ?, <=50K\n50, Private,240496, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,36, United-States, <=50K\n26, Private,51961, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,20, United-States, <=50K\n36, Private,174887, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,95855, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,362259, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,30916, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n62, Private,153148, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,84, United-States, <=50K\n46, Private,167915, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,45156, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,2174,0,41, United-States, <=50K\n37, Private,98776, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,15, United-States, <=50K\n27, Private,209801, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, ?, <=50K\n38, Private,183800, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,54595, 12th,8, Never-married, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n34, Private,79637, Bachelors,13, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n50, Private,126566, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Private,233796, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298,0,32, United-States, >50K\n67, Local-gov,191800, Bachelors,13, Divorced, Adm-clerical, Unmarried, Black, Female,6360,0,35, United-States, <=50K\n34, Self-emp-not-inc,527162, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K\n19, Private,139466, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n23, Private,64520, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n50, Private,97741, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n45, Local-gov,160173, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n17, Private,350995, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n59, ?,182836, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K\n25, Private,143267, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,48, United-States, <=50K\n21, Private,346341, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,172175, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,153035, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n63, Private,200127, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Local-gov,204470, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K\n45, Private,353012, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,194342, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,57898, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,164707, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, ?, <=50K\n42, Private,269028, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, France, <=50K\n56, Private,83922, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,160647, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Female,0,0,46, United-States, <=50K\n69, Private,125437, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K\n42, Private,246011, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,55, United-States, <=50K\n19, Private,216937, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Other, Female,0,0,60, Guatemala, <=50K\n56, Self-emp-not-inc,66356, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,154981, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,50, United-States, >50K\n61, Federal-gov,197311, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,301743, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n50, Self-emp-not-inc,401118, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,50, United-States, >50K\n39, Private,98776, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n35, Self-emp-not-inc,32528, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n27, Private,177119, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,44, United-States, <=50K\n40, Self-emp-inc,193524, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n59, State-gov,192258, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, ?,145917, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K\n42, Federal-gov,214838, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, United-States, >50K\n59, Private,176011, Some-college,10, Separated, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-inc,147239, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n38, Private,159179, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n53, Private,155963, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n20, Private,360457, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,30, United-States, <=50K\n54, Federal-gov,114674, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-not-inc,95708, Masters,14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,45, United-States, >50K\n33, Local-gov,100734, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,55, United-States, <=50K\n35, Private,188972, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K\n22, Private,162667, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, Portugal, <=50K\n45, Self-emp-not-inc,28497, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1485,70, United-States, >50K\n29, Private,180758, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,346635, Masters,14, Divorced, Sales, Unmarried, White, Female,0,2339,60, United-States, <=50K\n23, Private,46645, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K\n30, Private,203258, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n17, Private,134480, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,25, United-States, <=50K\n35, Local-gov,85548, Some-college,10, Separated, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n25, Private,195994, 1st-4th,2, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, Guatemala, <=50K\n42, State-gov,148316, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,227466, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K\n19, Private,68552, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n32, Private,252257, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n44, Private,30126, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n53, Private,304353, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, >50K\n47, Self-emp-not-inc,171968, Bachelors,13, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,60, Thailand, <=50K\n24, Private,205839, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n30, State-gov,218640, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, >50K\n42, Private,150568, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K\n19, Private,382738, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,138940, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,37, United-States, <=50K\n26, Self-emp-not-inc,258306, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K\n25, Local-gov,190107, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,1719,16, United-States, <=50K\n52, Private,152373, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,141875, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,79586, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999,0,40, ?, >50K\n32, Private,157289, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n37, Private,184498, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,109684, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1741,35, United-States, <=50K\n47, Private,199832, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,23545, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,175710, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n27, Private,52028, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,40, South, <=50K\n61, Self-emp-not-inc,315977, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n47, Private,202322, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n30, Private,251825, Assoc-acdm,12, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n54, Private,202115, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K\n56, Local-gov,216824, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n69, Private,145656, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,24, United-States, <=50K\n30, Private,137076, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,152621, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, >50K\n42, Self-emp-not-inc,27242, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n45, Federal-gov,358242, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n39, Private,184117, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,20, United-States, >50K\n26, Private,300290, 11th,7, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Local-gov,149991, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,42, United-States, >50K\n31, Private,189759, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,339482, 5th-6th,3, Separated, Farming-fishing, Other-relative, White, Male,0,0,60, Mexico, <=50K\n51, Private,100933, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K\n29, Private,354558, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n38, Local-gov,162613, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,2258,60, United-States, <=50K\n64, Private,285052, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,10, United-States, <=50K\n26, State-gov,175044, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n68, Private,45508, 5th-6th,3, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,22, United-States, <=50K\n32, Private,173351, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n29, Private,173611, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n51, ?,182543, 1st-4th,2, Separated, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K\n21, Private,143062, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n26, ?,137951, 10th,6, Separated, ?, Other-relative, White, Female,0,0,40, Puerto-Rico, <=50K\n33, Local-gov,293063, Bachelors,13, Married-spouse-absent, Prof-specialty, Other-relative, Black, Male,0,0,40, ?, <=50K\n26, Private,377754, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Private,152373, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2105,0,40, United-States, <=50K\n31, Private,193477, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n29, Local-gov,277323, HS-grad,9, Never-married, Protective-serv, Unmarried, White, Male,0,0,45, United-States, <=50K\n19, Private,69182, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,27, United-States, <=50K\n51, Private,219599, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n45, Private,129371, 9th,5, Separated, Other-service, Unmarried, Other, Female,0,0,40, Trinadad&Tobago, <=50K\n20, Private,470875, HS-grad,9, Married-civ-spouse, Sales, Own-child, Black, Male,0,0,32, United-States, <=50K\n40, Private,201734, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K\n43, Private,58447, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,55, United-States, >50K\n52, Local-gov,91689, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,166546, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,24, United-States, <=50K\n24, Private,293324, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,219262, 9th,5, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n38, Self-emp-not-inc,403391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n44, Private,367749, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Mexico, <=50K\n24, Private,128487, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, State-gov,111363, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,75, United-States, >50K\n49, Private,240869, 7th-8th,4, Never-married, Other-service, Other-relative, White, Male,0,0,35, United-States, <=50K\n36, Private,163278, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,416415, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n46, ?,280030, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Mexico, <=50K\n46, Private,251243, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Local-gov,167159, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,70, United-States, >50K\n29, Private,161857, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, Other, Female,0,0,40, Columbia, <=50K\n37, Private,160035, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, ?,190205, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n28, ?,161290, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,112403, Bachelors,13, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Private,238726, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Private,164530, 11th,7, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n19, Private,456572, HS-grad,9, Never-married, Farming-fishing, Other-relative, White, Male,0,0,35, United-States, <=50K\n31, Self-emp-not-inc,177675, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,246739, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, United-States, >50K\n37, Private,102953, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, ?,224238, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,2, United-States, <=50K\n46, Private,155489, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K\n51, Self-emp-not-inc,156802, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,3103,0,60, United-States, >50K\n50, Private,168212, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,45, United-States, >50K\n38, Private,331395, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,3942,0,84, Portugal, <=50K\n40, Local-gov,261497, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,35, United-States, <=50K\n58, Private,365511, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Other, Male,0,0,40, Mexico, <=50K\n36, Private,187999, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Local-gov,190350, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,35, United-States, <=50K\n17, ?,166759, 12th,8, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n49, Private,168262, 10th,6, Divorced, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K\n39, State-gov,122011, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,5178,0,38, United-States, >50K\n46, Private,165953, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n26, Private,375980, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,37, United-States, <=50K\n40, Federal-gov,406463, Masters,14, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, State-gov,231472, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n60, Self-emp-not-inc,78913, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n28, Private,69107, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n22, ?,182387, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,12, Thailand, <=50K\n31, Private,169002, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,55, United-States, <=50K\n45, Private,229967, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,13550,0,50, United-States, >50K\n34, Private,422836, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, Mexico, <=50K\n27, State-gov,230922, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, Scotland, <=50K\n40, Private,195892, Some-college,10, Divorced, Transport-moving, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n68, Private,163346, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,32, United-States, <=50K\n51, Private,82566, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n55, Private,86505, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, <=50K\n43, Private,178780, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n23, State-gov,173945, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,27, United-States, <=50K\n48, Private,176810, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-inc,23813, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,2885,0,30, United-States, <=50K\n51, Self-emp-inc,210736, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,10520,0,40, United-States, >50K\n32, Private,343789, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013,0,55, United-States, <=50K\n34, Private,113838, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n31, Local-gov,121055, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, >50K\n71, ?,52171, 7th-8th,4, Divorced, ?, Unmarried, White, Male,0,0,45, United-States, <=50K\n17, Private,566049, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K\n37, Private,67433, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n26, Private,39014, 12th,8, Married-civ-spouse, Priv-house-serv, Wife, Other, Female,0,0,40, Dominican-Republic, <=50K\n17, Private,51939, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n34, Private,100669, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n46, Private,155659, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n33, Private,112847, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n41, Local-gov,32185, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n59, Private,138370, 10th,6, Married-spouse-absent, Protective-serv, Not-in-family, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n50, Self-emp-not-inc,172281, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n46, Private,180505, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n45, Private,168262, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,85126, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,113838, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,197457, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,1471,0,38, United-States, <=50K\n28, Private,197905, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,316589, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,336367, Assoc-acdm,12, Never-married, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K\n39, Self-emp-inc,143123, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2415,40, United-States, >50K\n23, Private,209955, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,210013, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,224541, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,275653, 7th-8th,4, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,2977,0,40, Puerto-Rico, <=50K\n45, Private,88061, 11th,7, Married-spouse-absent, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0,0,40, South, <=50K\n43, Federal-gov,195897, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298,0,40, United-States, >50K\n49, Private,43206, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, >50K\n37, Private,202950, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,154093, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n34, Private,112115, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,55, United-States, >50K\n51, Private,355954, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n24, Private,379418, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n67, Self-emp-not-inc,286372, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,48087, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,45, United-States, >50K\n32, Private,387270, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n21, Private,270043, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n39, Self-emp-not-inc,65738, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, >50K\n33, Private,159888, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,278039, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n21, Private,265434, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K\n68, Self-emp-inc,52052, Assoc-voc,11, Widowed, Sales, Not-in-family, White, Female,25124,0,50, United-States, >50K\n24, Private,208882, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n24, Private,229393, 11th,7, Never-married, Farming-fishing, Unmarried, White, Male,2463,0,40, United-States, <=50K\n23, Private,53513, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,45, United-States, <=50K\n40, Private,225193, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,63, United-States, <=50K\n48, Private,166809, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n42, Self-emp-not-inc,175674, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n45, Federal-gov,368947, Bachelors,13, Never-married, Protective-serv, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n31, Private,194901, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n53, Private,203173, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,267431, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,55, United-States, <=50K\n32, Private,111836, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,50, United-States, <=50K\n34, Private,198613, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, ?, <=50K\n41, Self-emp-inc,149102, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n57, Local-gov,121111, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,130397, 10th,6, Never-married, Farming-fishing, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n40, Private,212847, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2179,40, United-States, <=50K\n17, Private,184198, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,13, United-States, <=50K\n17, Private,121287, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n82, Self-emp-inc,120408, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K\n40, Private,164678, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n26, Private,388812, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n37, Private,294919, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,101684, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n65, Private,36209, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,22, United-States, >50K\n39, Private,123983, Bachelors,13, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n36, Self-emp-not-inc,340001, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,203828, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n23, Private,183789, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,305619, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n63, Self-emp-not-inc,174181, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K\n59, Private,131869, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n49, Self-emp-not-inc,43479, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, ?,203126, 9th,5, Never-married, ?, Unmarried, White, Female,0,0,40, Dominican-Republic, <=50K\n17, Private,118792, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,9, United-States, <=50K\n28, Private,272913, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, Mexico, <=50K\n45, Federal-gov,222011, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-inc,301007, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n45, Private,197731, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,173736, 9th,5, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n19, ?,182590, 10th,6, Never-married, ?, Not-in-family, White, Female,0,0,38, United-States, <=50K\n59, Local-gov,93211, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,22, United-States, >50K\n41, Private,24763, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,7443,0,40, United-States, <=50K\n49, Local-gov,219021, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,48, United-States, >50K\n37, Private,137229, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, >50K\n31, Self-emp-not-inc,281030, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n21, Private,234108, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,46868, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,15, United-States, <=50K\n20, ?,162667, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,40, El-Salvador, <=50K\n51, Private,173291, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,305160, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n48, Private,212954, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n39, Local-gov,112284, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,164198, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,15024,0,45, United-States, >50K\n41, Private,152958, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,145389, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K\n54, Self-emp-inc,119570, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n40, Private,272343, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n44, Private,187720, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, United-States, <=50K\n50, Private,145409, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n42, Private,208726, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n34, Private,203488, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,330416, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,25803, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,171150, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,82576, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,14084,0,36, United-States, >50K\n30, Private,329425, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,185452, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,201179, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,182268, Preschool,1, Married-spouse-absent, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,95763, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n48, Private,125892, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Poland, <=50K\n21, Private,121407, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,36, United-States, <=50K\n52, Private,373367, 11th,7, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Local-gov,165982, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n45, Private,165484, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n30, Private,156890, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n31, Private,156763, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,2829,0,40, United-States, <=50K\n43, Private,244172, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, ?, <=50K\n36, Private,219814, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Guatemala, <=50K\n42, Private,171841, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n28, Local-gov,168524, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,35, United-States, >50K\n62, Private,205643, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n65, ?,174904, HS-grad,9, Separated, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,102559, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, >50K\n47, Private,60267, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K\n43, Private,388725, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,215712, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n44, Private,171722, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,39, United-States, <=50K\n25, Private,193051, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,25, United-States, <=50K\n21, Private,305446, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,146949, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, <=50K\n21, Private,322144, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-inc,75742, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, El-Salvador, >50K\n64, ?,380687, Bachelors,13, Married-civ-spouse, ?, Wife, Black, Female,0,0,8, United-States, <=50K\n55, Self-emp-not-inc,95149, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, <=50K\n42, Private,68469, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n63, Self-emp-not-inc,27653, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n21, Private,410439, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,24, United-States, <=50K\n28, Private,37821, Assoc-voc,11, Never-married, Sales, Unmarried, White, Female,0,0,55, ?, <=50K\n45, Private,228570, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,35, United-States, <=50K\n21, Private,141453, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,88215, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, China, >50K\n53, Private,48641, 12th,8, Never-married, Other-service, Not-in-family, Other, Female,0,0,35, United-States, <=50K\n45, Private,185385, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,341471, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,4, United-States, <=50K\n41, Private,163322, 11th,7, Divorced, Exec-managerial, Unmarried, White, Female,0,0,36, United-States, <=50K\n35, Private,99357, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1977,30, United-States, >50K\n43, Self-emp-inc,602513, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n53, Local-gov,287192, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, Mexico, <=50K\n34, Private,215047, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n46, Federal-gov,97863, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,40, United-States, >50K\n59, Private,308118, Assoc-acdm,12, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n53, Private,137192, Bachelors,13, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0,0,50, United-States, <=50K\n33, Private,275369, 7th-8th,4, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,35, Haiti, <=50K\n45, Private,99971, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n48, Self-emp-inc,103713, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,253770, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Private,162205, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,72, United-States, >50K\n46, Self-emp-not-inc,31267, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,198146, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K\n23, Private,178207, Some-college,10, Never-married, Handlers-cleaners, Unmarried, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K\n21, Private,317175, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n53, Federal-gov,221791, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n61, Self-emp-inc,187124, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, >50K\n58, State-gov,280519, HS-grad,9, Divorced, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n36, Private,207568, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n45, Local-gov,192684, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K\n39, Private,103260, Bachelors,13, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,30, United-States, >50K\n39, Private,191227, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,13550,0,50, United-States, >50K\n48, Self-emp-inc,382242, Doctorate,16, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n41, Private,106900, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, <=50K\n30, Private,48520, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2002,40, United-States, <=50K\n50, Private,55527, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,45, United-States, <=50K\n51, Self-emp-not-inc,246820, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,48, United-States, >50K\n23, Private,33884, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,29762, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n47, Federal-gov,168109, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,70, United-States, <=50K\n51, Private,207449, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n60, Self-emp-inc,189098, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,194259, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Local-gov,194630, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Local-gov,179681, HS-grad,9, Never-married, Transport-moving, Own-child, White, Female,0,0,37, United-States, <=50K\n42, State-gov,136996, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,48, United-States, <=50K\n32, Private,143604, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,16, United-States, <=50K\n19, Private,243373, 12th,8, Never-married, Sales, Other-relative, White, Male,1055,0,40, United-States, <=50K\n34, Private,261799, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,45, United-States, >50K\n48, Private,143281, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,48, United-States, <=50K\n38, Private,185556, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K\n38, Private,111499, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n40, Self-emp-not-inc,280433, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,37314, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n38, Private,103408, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, ?, <=50K\n26, Private,270151, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, State-gov,96748, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K\n20, Private,164775, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Guatemala, <=50K\n49, Private,190319, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, Philippines, <=50K\n23, Private,213115, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n47, Private,156926, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, Canada, >50K\n43, Private,112967, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,35373, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n60, Self-emp-not-inc,220342, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n29, Private,163167, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,404951, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n39, Private,122032, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,143582, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, Other, Female,4101,0,35, United-States, <=50K\n38, Private,108140, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,2202,0,45, United-States, <=50K\n47, Private,251508, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,36, United-States, <=50K\n50, Self-emp-not-inc,197054, Prof-school,15, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n64, Self-emp-not-inc,36960, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,165930, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, ?,178960, 11th,7, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,214503, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K\n51, Private,110458, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,202125, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Self-emp-not-inc,284329, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n29, Private,192924, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,340917, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,2829,0,50, ?, <=50K\n37, Private,340614, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n20, Private,196678, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n18, Private,266489, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n57, Private,61474, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, United-States, >50K\n47, ?,99127, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,215955, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,2829,0,40, United-States, <=50K\n23, Self-emp-inc,215395, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n36, Self-emp-inc,183898, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n48, Private,97176, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n40, Private,145160, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K\n51, Private,357949, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,16, United-States, <=50K\n59, Private,177120, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,288229, Some-college,10, Married-civ-spouse, Sales, Other-relative, Asian-Pac-Islander, Female,0,0,40, Greece, <=50K\n39, Private,509060, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,47932, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,103925, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n44, State-gov,183829, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n51, Private,138852, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,188186, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,20, Hungary, <=50K\n22, Private,34616, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n19, Private,220819, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Federal-gov,281540, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K\n53, Private,47396, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,141350, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n19, Private,331433, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,32, United-States, <=50K\n40, Federal-gov,346532, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n21, Private,241367, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K\n39, Private,216256, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Italy, >50K\n40, Local-gov,153031, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,35, United-States, >50K\n36, Private,116138, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K\n18, Private,193166, 9th,5, Never-married, Sales, Own-child, White, Female,0,0,42, United-States, <=50K\n32, Self-emp-inc,275094, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,55, Mexico, >50K\n50, Private,81548, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,167979, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n19, Private,67759, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,43, United-States, <=50K\n53, Private,200190, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n49, Private,403112, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K\n40, Private,214891, Bachelors,13, Married-spouse-absent, Transport-moving, Own-child, Other, Male,0,0,45, ?, <=50K\n31, Private,142675, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,88500, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n35, Local-gov,145308, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n47, Local-gov,204377, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n43, Self-emp-not-inc,260696, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n51, Private,231181, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,21, United-States, <=50K\n54, Private,260052, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n76, Local-gov,178665, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n33, Private,226267, 7th-8th,4, Never-married, Sales, Not-in-family, White, Male,0,0,43, Mexico, <=50K\n19, Private,111232, 12th,8, Never-married, Transport-moving, Own-child, White, Male,0,0,15, United-States, <=50K\n49, Private,87928, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n26, Private,212748, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,110677, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n49, Private,139268, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n24, Private,306779, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K\n48, Private,318331, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n36, State-gov,143385, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,288273, 12th,8, Separated, Adm-clerical, Unmarried, White, Female,1471,0,40, United-States, <=50K\n31, Private,167725, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024,0,48, Philippines, >50K\n53, Private,94081, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K\n22, Private,194723, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n43, Private,163985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,189759, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Italy, <=50K\n53, State-gov,195922, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Federal-gov,54159, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n47, Local-gov,166863, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,104501, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Germany, >50K\n39, Private,210626, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,448026, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Local-gov,170916, 10th,6, Never-married, Protective-serv, Own-child, White, Female,0,1602,40, United-States, <=50K\n53, Local-gov,283602, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,40, United-States, >50K\n21, Private,189749, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,90934, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,64, Philippines, >50K\n34, State-gov,253121, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,181776, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, Private,162397, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,70708, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K\n47, State-gov,103406, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,224658, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n26, Local-gov,213451, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,10, Jamaica, <=50K\n53, Private,139671, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,36201, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n39, Private,237713, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,2415,99, United-States, >50K\n17, Local-gov,173497, 11th,7, Never-married, Prof-specialty, Own-child, Black, Male,0,0,15, United-States, <=50K\n46, Private,375606, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n34, Private,203488, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n45, Self-emp-not-inc,107231, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, France, <=50K\n23, Private,216811, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K\n41, Private,288679, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,105516, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,282972, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,4, United-States, <=50K\n18, Self-emp-inc,117372, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n38, Private,112497, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n66, ?,186032, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,2964,0,30, United-States, <=50K\n28, Private,192384, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,43348, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n29, Private,181822, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,216070, Masters,14, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female,0,0,50, United-States, >50K\n34, State-gov,112062, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,218551, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,404616, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,169460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,240081, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K\n22, Private,147655, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,90277, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, ?, <=50K\n49, Private,60751, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,194636, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,50, United-States, <=50K\n37, Self-emp-not-inc,154641, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,2105,0,50, United-States, <=50K\n39, Private,491000, Bachelors,13, Never-married, Exec-managerial, Other-relative, Black, Male,0,0,45, United-States, <=50K\n33, Private,399088, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,186909, Masters,14, Married-civ-spouse, Sales, Wife, White, Female,0,1902,35, United-States, >50K\n65, Private,105491, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K\n40, Private,34987, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,53, United-States, <=50K\n26, ?,167835, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K\n31, Private,288983, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,266070, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n71, Private,110380, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,2467,52, United-States, <=50K\n25, Local-gov,31873, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,294400, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n19, ?,184308, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,30, United-States, <=50K\n36, Self-emp-not-inc,175769, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n56, Private,182273, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,106541, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,138192, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,196791, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K\n22, Private,223019, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n44, Private,109273, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K\n60, Self-emp-not-inc,95490, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n65, Private,149131, 11th,7, Divorced, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n44, Private,219155, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, England, >50K\n53, Local-gov,82783, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,214858, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,170230, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n40, Self-emp-inc,209344, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,15, ?, <=50K\n35, Private,90406, 11th,7, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-inc,299813, 9th,5, Married-civ-spouse, Sales, Wife, White, Female,0,0,70, Dominican-Republic, <=50K\n28, Private,188064, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Canada, <=50K\n53, Private,246117, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n26, Private,132749, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,45, United-States, <=50K\n28, Local-gov,201099, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Female,0,0,40, United-States, <=50K\n27, Private,97490, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,221252, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,8, United-States, <=50K\n26, Private,116991, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,161691, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n34, Private,107793, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, >50K\n50, Self-emp-inc,194514, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, Trinadad&Tobago, <=50K\n30, Private,278502, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,62, United-States, <=50K\n47, Private,343742, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n27, ?,204074, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, Federal-gov,31965, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,143604, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,29, ?, <=50K\n35, Private,174308, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,162551, 12th,8, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,50, ?, <=50K\n39, Self-emp-inc,372525, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n30, Private,75167, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n39, Private,176296, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,1887,40, United-States, >50K\n19, Private,93518, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n25, ?,126797, HS-grad,9, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,25124, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K\n21, Private,112137, Some-college,10, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,20, South, <=50K\n30, ?,58798, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,44, United-States, <=50K\n25, Self-emp-not-inc,21472, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,22, United-States, <=50K\n32, Private,90969, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n26, Private,149734, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Female,0,1594,40, United-States, <=50K\n42, Private,52849, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,106347, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,47, United-States, <=50K\n48, Private,199735, Bachelors,13, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,44, Germany, <=50K\n24, Private,488541, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K\n46, Private,403911, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n53, Private,172991, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K\n36, Federal-gov,210945, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,70, United-States, <=50K\n34, Private,157446, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,45, United-States, <=50K\n25, Private,109390, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,70, United-States, <=50K\n33, Private,134886, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,99999,0,30, United-States, >50K\n45, Private,144579, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n31, Federal-gov,203488, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,202871, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K\n33, Private,175412, 9th,5, Divorced, Craft-repair, Unmarried, White, Male,114,0,55, United-States, <=50K\n44, Private,336906, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,177596, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, Puerto-Rico, >50K\n30, Private,79448, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,10, United-States, <=50K\n32, Local-gov,191731, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, ?,233014, HS-grad,9, Divorced, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n29, Private,133937, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,219211, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n35, State-gov,94529, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,247547, HS-grad,9, Separated, Prof-specialty, Other-relative, Black, Female,0,0,40, United-States, <=50K\n29, Private,29361, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n21, Private,166851, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n43, Federal-gov,197069, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Philippines, >50K\n33, Private,153588, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n61, Federal-gov,151369, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n42, Private,174112, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,520033, 12th,8, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n35, State-gov,194828, Some-college,10, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n32, ?,216908, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K\n22, Private,126613, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n61, Private,26254, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,54042, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,2463,0,35, United-States, <=50K\n24, Private,67804, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n58, Local-gov,53481, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n42, Private,412379, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,220187, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n26, ?,256141, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,268222, HS-grad,9, Separated, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K\n59, Private,99131, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n65, Self-emp-not-inc,115498, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,3818,0,10, United-States, <=50K\n57, Private,317847, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,2824,50, United-States, >50K\n36, Private,98389, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K\n42, Private,173704, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1887,50, United-States, >50K\n18, ?,211177, 12th,8, Never-married, ?, Other-relative, Black, Male,0,0,20, United-States, <=50K\n18, Private,115443, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,65078, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,24896, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K\n19, Private,184710, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,30, United-States, <=50K\n28, Private,410450, Bachelors,13, Divorced, Other-service, Unmarried, White, Female,0,0,48, England, >50K\n37, Private,83893, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,113309, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Private,160625, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,47, United-States, <=50K\n17, Local-gov,340043, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K\n37, Local-gov,48976, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,4865,0,45, United-States, <=50K\n29, State-gov,243875, Assoc-voc,11, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,554206, HS-grad,9, Separated, Transport-moving, Not-in-family, Black, Male,0,0,20, United-States, <=50K\n36, Private,361888, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, >50K\n37, Self-emp-not-inc,205359, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,15, United-States, <=50K\n47, State-gov,167281, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,35663, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, Private,357437, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,390856, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, Mexico, <=50K\n33, Federal-gov,331615, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,40, United-States, >50K\n54, Private,202415, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,180032, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1669,40, United-States, <=50K\n40, Private,77247, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n40, Local-gov,101795, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,42, United-States, <=50K\n35, Private,272019, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2057,40, United-States, <=50K\n32, Private,198068, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,199326, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n31, Private,178841, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Private,136951, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n26, Self-emp-inc,109240, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n35, Self-emp-not-inc,128876, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,103358, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, India, <=50K\n43, Private,354408, 12th,8, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n32, Private,206051, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,35, United-States, <=50K\n45, Private,155659, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n48, Private,143299, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n31, Private,252210, 5th-6th,3, Never-married, Other-service, Own-child, White, Male,0,0,40, Mexico, <=50K\n20, ?,129240, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n28, Private,398918, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,240612, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n22, Private,429346, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,40, United-States, <=50K\n19, Private,123718, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n38, Private,455379, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,63, United-States, >50K\n23, Private,376416, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Self-emp-inc,234663, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,282142, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n45, State-gov,208049, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n88, Private,68539, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,126501, 11th,7, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,15, South, <=50K\n24, Private,186452, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n84, ?,127184, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n48, Private,165267, 10th,6, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K\n46, Private,124733, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n31, Self-emp-inc,149726, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n58, Private,41374, HS-grad,9, Widowed, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n35, Local-gov,329759, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,212433, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n36, Private,185099, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n47, Local-gov,126754, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,122497, 9th,5, Widowed, Other-service, Unmarried, Black, Male,0,0,52, ?, <=50K\n30, Private,118056, Some-college,10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n30, Local-gov,200892, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,200790, 12th,8, Married-civ-spouse, ?, Other-relative, White, Female,15024,0,40, United-States, >50K\n30, Self-emp-inc,84119, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,43, United-States, <=50K\n23, Local-gov,197918, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, >50K\n41, Self-emp-not-inc,150533, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,443742, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n27, Private,104423, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Private,169133, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n21, Private,185551, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,36, United-States, <=50K\n60, Private,174486, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n69, State-gov,50468, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,34, United-States, >50K\n24, Private,196943, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,120691, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,25, United-States, <=50K\n60, State-gov,198815, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, Mexico, <=50K\n64, Private,22186, Some-college,10, Widowed, Tech-support, Not-in-family, White, Female,0,0,35, United-States, <=50K\n39, Self-emp-inc,188069, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n51, Private,233149, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n51, Private,138358, 10th,6, Divorced, Craft-repair, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n25, Private,338013, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, ?,332666, 10th,6, Never-married, ?, Own-child, White, Female,0,0,4, United-States, <=50K\n37, Private,166339, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n74, Self-emp-not-inc,392886, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Female,0,0,14, United-States, <=50K\n26, State-gov,141838, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n23, Private,520759, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n57, Self-emp-inc,37345, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K\n20, Private,387779, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,15, United-States, <=50K\n37, Private,201531, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,123598, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,380614, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K\n40, Private,83859, HS-grad,9, Widowed, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K\n50, State-gov,24790, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,266820, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,35, Mexico, <=50K\n44, Private,85440, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n41, Private,421837, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,404062, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,15, United-States, >50K\n38, Private,224566, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n54, Private,294991, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n40, Federal-gov,189610, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,52, United-States, <=50K\n37, Private,219141, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,7688,0,40, United-States, >50K\n46, Federal-gov,20956, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n38, Private,70995, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n20, Private,215232, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,10, United-States, <=50K\n71, ?,178295, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,3, United-States, <=50K\n35, Private,56201, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n62, Private,98076, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,351810, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Cuba, <=50K\n56, Self-emp-not-inc,144351, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,90, United-States, <=50K\n30, State-gov,137613, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,20, Taiwan, <=50K\n17, Private,54257, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n18, Self-emp-not-inc,230373, 11th,7, Never-married, Other-service, Own-child, White, Female,594,0,4, United-States, <=50K\n35, Private,98389, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,184135, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,1, United-States, <=50K\n46, Self-emp-not-inc,140121, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n33, Self-emp-not-inc,24504, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n27, Private,129528, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,415578, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,97142, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,201328, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,256620, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Federal-gov,96854, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n44, State-gov,141858, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,75, United-States, >50K\n51, Federal-gov,20795, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,40, United-States, >50K\n53, Private,95519, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K\n47, Private,112791, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,291407, 11th,7, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n32, Private,239659, Some-college,10, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,70, United-States, <=50K\n28, Private,183151, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n58, ?,97634, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,143807, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,186934, Masters,14, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n30, Private,170065, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,108328, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,6849,0,50, United-States, <=50K\n56, State-gov,83696, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,38, ?, <=50K\n21, Private,204596, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n56, ?,32604, Some-college,10, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n56, Private,193453, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,65, United-States, >50K\n45, Private,148995, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, United-States, >50K\n20, Private,85041, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K\n62, Local-gov,140851, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,196280, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n52, Federal-gov,38973, Bachelors,13, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,39182, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,198841, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,694812, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,247444, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Nicaragua, <=50K\n41, Private,294270, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n59, Private,195820, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,329426, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,37, United-States, <=50K\n19, ?,174871, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,23, United-States, <=50K\n41, Private,116103, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n27, Private,206903, Bachelors,13, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,35, United-States, <=50K\n50, Private,217577, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,337693, 5th-6th,3, Never-married, Other-service, Own-child, White, Female,0,0,40, El-Salvador, <=50K\n38, Private,204501, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n30, Private,169186, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,60, United-States, <=50K\n48, Private,109421, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n39, Local-gov,267893, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, Black, Male,7298,0,40, United-States, >50K\n40, Private,200479, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n27, Local-gov,221317, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n59, Self-emp-not-inc,132925, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n31, ?,283531, HS-grad,9, Divorced, ?, Unmarried, Black, Female,0,0,20, United-States, <=50K\n34, Private,170769, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n47, Self-emp-inc,186410, Prof-school,15, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, >50K\n64, Self-emp-inc,307786, 1st-4th,2, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K\n29, Private,380560, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n38, Local-gov,147258, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,212894, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K\n49, Private,124356, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n53, Private,98791, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,216473, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n70, ?,135339, Bachelors,13, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n38, Private,107303, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,152744, Bachelors,13, Divorced, Sales, Other-relative, Asian-Pac-Islander, Female,0,0,40, South, <=50K\n34, Self-emp-not-inc,100079, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,55, India, <=50K\n24, Private,117779, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,10, Hungary, <=50K\n23, Private,197613, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,411068, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n47, Private,192984, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n59, Private,66356, 7th-8th,4, Never-married, Farming-fishing, Unmarried, White, Male,4865,0,40, United-States, <=50K\n33, Federal-gov,137184, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, >50K\n63, Self-emp-not-inc,231105, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, United-States, >50K\n18, Local-gov,146586, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,60, United-States, <=50K\n32, Private,32406, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n33, Private,578701, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, ?, <=50K\n19, Private,206777, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n27, Local-gov,133495, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,34722, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, >50K\n38, Self-emp-not-inc,133299, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,24967, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,47, United-States, <=50K\n35, Self-emp-not-inc,171968, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K\n22, Private,412156, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,51290, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,198265, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,3103,0,40, United-States, >50K\n23, Private,293565, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,226288, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Self-emp-inc,110445, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,160634, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,174242, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,390316, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n18, Private,298860, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n65, Private,171584, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,232664, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n64, Private,63676, 10th,6, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n68, Private,170376, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n56, Self-emp-not-inc,175964, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n68, Federal-gov,422013, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,3683,40, United-States, <=50K\n35, Private,105813, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K\n50, Federal-gov,306707, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,12, United-States, <=50K\n45, Private,177543, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,28, United-States, <=50K\n43, Private,320277, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,129495, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n37, Private,257042, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,1506,0,40, United-States, <=50K\n45, Private,275995, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n20, ?,86318, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K\n36, Private,280440, Assoc-acdm,12, Never-married, Tech-support, Unmarried, White, Female,0,0,45, United-States, <=50K\n26, Private,371556, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,408229, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K\n47, Private,149337, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K\n34, Private,209297, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,2001,40, United-States, <=50K\n53, Private,355802, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n32, Private,165949, Bachelors,13, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,1590,42, United-States, <=50K\n44, Self-emp-not-inc,112507, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,462869, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K\n35, Private,413648, 5th-6th,3, Never-married, Farming-fishing, Unmarried, White, Male,0,0,36, United-States, <=50K\n34, Private,29235, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,149823, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,39530, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,4, United-States, <=50K\n23, Private,197387, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,37, Mexico, <=50K\n56, Local-gov,255406, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,43764, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n38, Private,168322, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n46, Private,278322, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,115813, Assoc-acdm,12, Separated, Adm-clerical, Unmarried, White, Female,0,0,57, United-States, <=50K\n38, Self-emp-not-inc,184456, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,3464,0,80, Italy, <=50K\n42, Private,289636, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,46, United-States, <=50K\n48, Private,101684, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,133425, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n40, Private,349405, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, <=50K\n53, Private,124076, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999,0,37, United-States, >50K\n75, Self-emp-not-inc,165968, Assoc-voc,11, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K\n39, Private,185099, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K\n46, Federal-gov,268281, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Private,154949, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n34, Private,176711, HS-grad,9, Divorced, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,165064, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,213750, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K\n45, Self-emp-not-inc,77132, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n21, Private,109667, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,162164, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n40, Private,219591, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n20, ?,327462, 10th,6, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n68, Private,236943, 9th,5, Divorced, Farming-fishing, Not-in-family, Black, Male,0,0,20, United-States, <=50K\n40, Private,89226, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,124751, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,24, United-States, <=50K\n48, Local-gov,144122, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n27, Private,98769, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n57, Federal-gov,170066, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-inc,162439, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,98, United-States, >50K\n47, Private,22900, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Local-gov,102130, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n17, ?,215743, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,381583, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,45, United-States, >50K\n56, Local-gov,198277, 12th,8, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,243178, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,28, United-States, <=50K\n38, Local-gov,177305, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, <=50K\n19, Private,167149, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n24, Private,270872, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,594,0,40, ?, <=50K\n31, Private,382368, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, Germany, <=50K\n44, Local-gov,277144, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,60, United-States, <=50K\n21, State-gov,145651, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,1602,12, United-States, <=50K\n41, Private,171351, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,265099, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n23, Private,105617, 9th,5, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,217689, Some-college,10, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,32, United-States, <=50K\n46, ?,81136, Assoc-voc,11, Divorced, ?, Unmarried, White, Male,0,0,30, United-States, <=50K\n43, Self-emp-not-inc,73883, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,45, United-States, <=50K\n31, Private,339482, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n40, Private,326232, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, >50K\n27, Private,106316, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,12, United-States, <=50K\n64, Local-gov,198728, Some-college,10, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n31, Federal-gov,126501, Assoc-voc,11, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Private,233802, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, <=50K\n37, Self-emp-not-inc,204501, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, Canada, >50K\n28, Private,208249, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,24, United-States, <=50K\n42, Private,188693, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-inc,93272, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n17, Private,159299, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n21, ?,303588, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n46, Private,35136, 10th,6, Divorced, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n18, Private,139576, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,252355, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,27, United-States, <=50K\n44, Self-emp-not-inc,83812, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n36, Private,89718, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n65, Private,222810, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,456618, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n21, Private,296158, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K\n41, Private,162140, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,2339,40, United-States, <=50K\n28, Private,36601, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n27, Private,195337, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, State-gov,282721, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,12, United-States, <=50K\n40, Private,206049, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,223392, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n40, Private,27821, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,2829,0,40, United-States, <=50K\n37, Private,131827, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n33, Private,549413, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n34, Private,69491, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n44, Local-gov,193755, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,598802, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n72, Local-gov,259762, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,2290,0,10, United-States, <=50K\n19, Private,266255, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Private,32954, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K\n40, Private,291808, HS-grad,9, Divorced, Protective-serv, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n35, Private,190728, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,59184, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n41, Private,196456, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n59, Private,147989, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n50, Private,195784, 12th,8, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n21, Private,202214, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,10, United-States, <=50K\n40, Self-emp-inc,225165, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,54825, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,188905, 5th-6th,3, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n17, Private,132636, 11th,7, Never-married, Transport-moving, Own-child, White, Female,0,0,16, United-States, <=50K\n42, Local-gov,228320, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,415500, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K\n19, Private,254247, 12th,8, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, ?, <=50K\n43, Private,255635, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Mexico, <=50K\n46, Private,96080, 9th,5, Separated, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, ?,78181, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n50, Local-gov,339547, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, >50K\n47, Self-emp-not-inc,126500, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n31, Private,511289, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,2907,0,99, United-States, <=50K\n33, Private,159574, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n27, Private,224105, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K\n59, Self-emp-not-inc,128105, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n39, Local-gov,89508, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,370242, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,67257, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n24, Private,62952, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,111058, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,1980,40, United-States, <=50K\n30, Private,29235, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K\n52, State-gov,101119, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n51, Federal-gov,140516, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,159888, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K\n19, ?,45643, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n23, Private,166371, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,60, United-States, <=50K\n37, State-gov,160910, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n25, State-gov,257064, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,38, United-States, <=50K\n49, Self-emp-not-inc,181307, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,65, United-States, >50K\n30, Private,83253, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n40, Private,128700, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,243010, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Other, Male,0,0,32, United-States, <=50K\n35, Self-emp-not-inc,37778, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,3103,0,55, United-States, <=50K\n24, Private,132320, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K\n32, Private,234755, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n35, Private,142616, HS-grad,9, Separated, Other-service, Own-child, Black, Female,0,0,30, United-States, <=50K\n20, Private,148509, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, State-gov,240738, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,32276, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,28, United-States, <=50K\n50, Local-gov,163921, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,464103, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n49, ?,271346, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,15024,0,60, United-States, >50K\n30, Local-gov,327825, HS-grad,9, Divorced, Protective-serv, Own-child, White, Female,0,0,32, United-States, <=50K\n37, Private,267085, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,266945, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,3137,0,40, El-Salvador, <=50K\n20, Private,234663, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n49, Self-emp-not-inc,189123, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,50, United-States, <=50K\n55, Private,104996, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n61, Private,101265, 12th,8, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, Italy, <=50K\n22, Private,184975, HS-grad,9, Married-spouse-absent, Other-service, Own-child, White, Female,0,0,3, United-States, <=50K\n23, Private,246965, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,12, United-States, <=50K\n43, Private,227065, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n39, Private,301867, Bachelors,13, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,24, Philippines, <=50K\n21, Private,185948, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n52, Self-emp-inc,134854, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,281030, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K\n42, Private,126701, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Male,9562,0,45, United-States, >50K\n50, Self-emp-not-inc,95949, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n51, Self-emp-not-inc,88528, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,99, United-States, <=50K\n47, Private,24723, 10th,6, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,45, United-States, <=50K\n49, ?,171411, 9th,5, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,184581, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n48, Federal-gov,100067, Some-college,10, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Private,182863, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n20, Never-worked,462294, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n61, Private,85434, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n72, Private,158092, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n19, Private,104844, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n54, Self-emp-inc,304570, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,7688,0,40, ?, >50K\n47, ?,89806, Some-college,10, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K\n39, Private,106183, HS-grad,9, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female,6849,0,40, United-States, <=50K\n24, Private,89347, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,157236, Some-college,10, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,40, Poland, <=50K\n19, Private,261259, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n20, Private,286166, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K\n23, Private,122272, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K\n58, Private,248739, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,53, United-States, >50K\n20, Private,224238, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n62, Private,138157, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,12, United-States, <=50K\n25, Private,148460, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,4416,0,40, Puerto-Rico, <=50K\n67, Private,236627, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,2, United-States, <=50K\n37, Local-gov,191364, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, France, >50K\n36, Private,353524, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Female,1831,0,40, United-States, <=50K\n38, Private,391040, Assoc-voc,11, Separated, Tech-support, Unmarried, White, Female,0,0,20, United-States, <=50K\n23, Private,134997, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,80, United-States, <=50K\n28, Private,392487, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n25, Private,216724, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,174395, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,55, United-States, >50K\n63, Private,383058, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1848,40, United-States, >50K\n60, Self-emp-not-inc,96073, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n31, Self-emp-inc,103435, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n29, Self-emp-not-inc,96718, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,37, United-States, <=50K\n37, Private,178948, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,45, United-States, >50K\n51, Private,173987, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,34419, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n27, Private,224849, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,249857, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n34, Private,340458, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,427422, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,0,2377,25, United-States, >50K\n19, ?,440417, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K\n36, Private,175643, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n35, Private,297485, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,232954, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n29, Private,326330, Some-college,10, Divorced, Exec-managerial, Own-child, White, Female,1831,0,40, United-States, <=50K\n25, Private,109419, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,127768, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,32, United-States, >50K\n41, Private,252986, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n20, Private,380544, Assoc-acdm,12, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K\n52, Private,306108, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,232855, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,37, United-States, <=50K\n44, Private,130126, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n50, Private,194231, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, >50K\n49, Self-emp-inc,197038, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n36, ?,168223, Bachelors,13, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n71, State-gov,26109, Prof-school,15, Married-civ-spouse, Other-service, Husband, White, Male,0,0,28, United-States, <=50K\n20, Private,285671, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,25, United-States, <=50K\n20, Private,153583, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, ?, <=50K\n59, Self-emp-inc,103948, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n41, Private,439919, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,3411,0,40, Mexico, <=50K\n38, Private,40319, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,42, United-States, <=50K\n55, Local-gov,159028, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,98675, 9th,5, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n45, Private,90758, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n43, Self-emp-not-inc,75435, HS-grad,9, Divorced, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K\n19, Private,219189, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n33, Private,203463, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n63, Private,187635, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,154641, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,8614,0,50, United-States, >50K\n34, Private,27153, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,150324, Assoc-acdm,12, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n21, Private,83704, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,176262, Assoc-voc,11, Never-married, Adm-clerical, Other-relative, White, Female,0,0,36, United-States, <=50K\n20, Private,179423, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,8, United-States, <=50K\n45, Private,168038, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K\n59, Private,108765, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n58, Private,146477, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, Greece, >50K\n66, Local-gov,188220, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, >50K\n37, Private,292855, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,35, United-States, >50K\n29, Private,114870, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n32, State-gov,77723, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n39, Private,284166, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K\n57, Private,133902, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n57, Private,191318, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n50, Self-emp-inc,67794, HS-grad,9, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n44, Self-emp-inc,357679, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024,0,65, United-States, >50K\n56, Private,117872, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n26, Private,55929, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, <=50K\n22, ?,165065, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, Italy, <=50K\n26, Self-emp-not-inc,34307, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,65, United-States, <=50K\n33, Private,246038, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Self-emp-not-inc,147258, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n45, Private,329144, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n56, Local-gov,52953, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,1669,38, United-States, <=50K\n23, Private,216181, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,36, Iran, <=50K\n23, Private,391171, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,25, United-States, <=50K\n35, Local-gov,223242, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,103925, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,32, United-States, >50K\n45, Private,38240, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,148444, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n56, State-gov,110257, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n31, Federal-gov,101345, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n44, Private,268098, 12th,8, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,36, United-States, <=50K\n21, ?,369084, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,10, United-States, <=50K\n31, Private,288825, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013,0,40, United-States, <=50K\n20, Private,162688, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,38, United-States, <=50K\n17, ?,48751, 11th,7, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n44, Federal-gov,184099, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,307496, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,23, United-States, <=50K\n71, ?,176986, HS-grad,9, Widowed, ?, Unmarried, White, Male,0,0,24, United-States, <=50K\n23, Private,267955, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,283969, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, Mexico, <=50K\n29, State-gov,204516, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, <=50K\n33, Private,167771, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n46, Private,345073, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, >50K\n21, ?,380219, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n36, Self-emp-inc,306156, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K\n70, Self-emp-not-inc,37203, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,9386,0,30, United-States, >50K\n19, Private,185097, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,37, United-States, <=50K\n29, Private,144808, Some-college,10, Married-civ-spouse, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K\n34, Private,187203, Assoc-acdm,12, Never-married, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K\n26, Private,125089, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,289458, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,144798, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, ?,172152, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,25, Taiwan, <=50K\n28, Private,207513, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,48, United-States, <=50K\n24, ?,164574, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n76, Private,199949, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,20051,0,50, United-States, >50K\n19, Private,213024, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,213140, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,40, United-States, <=50K\n24, Self-emp-not-inc,83374, Some-college,10, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,30, United-States, >50K\n37, Private,192939, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,424494, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n24, Private,215243, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K\n40, Private,30682, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n20, Private,306639, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n23, Local-gov,218678, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,219130, Some-college,10, Never-married, Other-service, Not-in-family, Other, Female,0,0,40, United-States, <=50K\n64, Private,180624, Assoc-acdm,12, Never-married, Prof-specialty, Other-relative, White, Female,0,0,30, United-States, <=50K\n53, Local-gov,200190, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,55, United-States, >50K\n28, Private,194472, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n52, Local-gov,205767, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n28, Private,249870, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n31, Private,211242, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n77, Private,149912, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,10, United-States, <=50K\n22, Private,85389, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n17, ?,806316, 11th,7, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n38, Private,329980, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K\n45, ?,236612, 11th,7, Divorced, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n25, Local-gov,249214, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n50, Private,257126, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n53, Local-gov,204397, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n24, Private,291979, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,138667, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n57, Federal-gov,42298, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,15024,0,40, United-States, >50K\n39, Private,375452, Prof-school,15, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,48, United-States, >50K\n30, Private,94413, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,30, United-States, <=50K\n31, Federal-gov,166626, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n39, State-gov,326566, Some-college,10, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n30, Private,165503, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,65, United-States, <=50K\n48, Private,102597, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,44, United-States, <=50K\n62, ?,113234, Masters,14, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n39, Private,177277, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n34, Private,198103, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,1980,40, United-States, <=50K\n45, Private,260490, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n32, Private,237478, 11th,7, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Federal-gov,36885, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n17, Private,166242, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n19, ?,158603, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,25, United-States, <=50K\n25, Private,274228, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,84, United-States, <=50K\n42, Private,185145, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,57, United-States, <=50K\n66, Private,28367, Bachelors,13, Married-civ-spouse, Priv-house-serv, Other-relative, White, Male,0,0,99, United-States, <=50K\n63, Self-emp-not-inc,28612, HS-grad,9, Widowed, Sales, Not-in-family, White, Male,0,0,70, United-States, <=50K\n43, Private,191429, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K\n26, Private,459548, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,20, Mexico, <=50K\n23, Private,65481, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K\n39, Private,186130, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n47, Self-emp-inc,350759, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,359678, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,48, United-States, <=50K\n35, Private,220595, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,29599, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, State-gov,299153, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n46, Private,75256, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,40, United-States, <=50K\n43, Private,143583, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n31, State-gov,207505, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,70, United-States, >50K\n41, Private,308550, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,60, United-States, <=50K\n50, Private,145717, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n36, Private,334366, 11th,7, Separated, Exec-managerial, Not-in-family, White, Female,0,0,32, United-States, <=50K\n31, ?,76198, HS-grad,9, Separated, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n45, Self-emp-not-inc,155489, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n50, Private,197322, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,194259, 7th-8th,4, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K\n40, Private,346189, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,98361, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n64, ?,178556, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,56, United-States, >50K\n51, Self-emp-inc,162943, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,19302, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n56, State-gov,67662, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,39, United-States, <=50K\n35, Private,126675, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n55, Self-emp-not-inc,278228, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n30, Private,169152, HS-grad,9, Never-married, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,204052, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,215392, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n43, Self-emp-inc,83348, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n24, Local-gov,196816, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Private,541343, 10th,6, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Local-gov,55921, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,70, United-States, <=50K\n32, Private,251701, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K\n29, Federal-gov,119848, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,160572, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,47, United-States, <=50K\n18, Private,25837, 11th,7, Never-married, Prof-specialty, Own-child, White, Male,0,0,15, United-States, <=50K\n20, Private,236592, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n45, State-gov,199326, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n22, Private,341610, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,35, ?, <=50K\n45, Private,175958, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,198965, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,193537, 7th-8th,4, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,35, Puerto-Rico, <=50K\n24, Private,438839, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,298227, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,35, United-States, <=50K\n28, Private,271466, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n23, Private,335570, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n21, Private,206891, 7th-8th,4, Never-married, Farming-fishing, Own-child, White, Female,0,0,38, United-States, <=50K\n23, Private,162551, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K\n45, Private,145637, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K\n41, Private,101290, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Federal-gov,229376, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,439592, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n37, Private,161141, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n70, Private,304570, Bachelors,13, Widowed, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,0,32, Philippines, <=50K\n24, Private,103277, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,2597,0,40, United-States, <=50K\n28, Local-gov,407672, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,73928, Assoc-voc,11, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K\n83, Self-emp-inc,240150, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,20051,0,50, United-States, >50K\n69, Private,230417, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, China, >50K\n37, Private,260093, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,96020, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,104421, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n71, Private,152307, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2377,45, United-States, >50K\n56, State-gov,93415, HS-grad,9, Widowed, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n27, Local-gov,282664, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,45, ?, <=50K\n42, Self-emp-not-inc,269733, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,99999,0,80, United-States, >50K\n21, Private,202871, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,44, United-States, <=50K\n29, Private,169683, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,271603, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Male,0,0,24, ?, <=50K\n32, Private,340917, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n31, Private,329874, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,43770, Some-college,10, Separated, Other-service, Not-in-family, White, Female,4650,0,72, United-States, <=50K\n55, State-gov,120781, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K\n48, Private,138069, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n58, Self-emp-not-inc,33309, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,80, United-States, <=50K\n23, Private,76432, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, State-gov,277635, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n49, Local-gov,123088, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,46, United-States, <=50K\n51, Private,57698, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,181820, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,53, United-States, <=50K\n40, Self-emp-not-inc,98985, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n59, Private,98350, HS-grad,9, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n47, Private,125120, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Female,0,0,50, United-States, <=50K\n37, Private,243409, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,58972, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,1506,0,40, United-States, <=50K\n43, Private,62857, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n40, Private,283174, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n48, Private,107373, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,201155, 9th,5, Never-married, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K\n48, Private,187505, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,61778, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,30, United-States, <=50K\n19, Private,223648, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,4101,0,48, United-States, <=50K\n28, Private,149652, 10th,6, Never-married, Other-service, Own-child, Black, Female,0,0,30, United-States, <=50K\n56, Private,170324, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Trinadad&Tobago, <=50K\n45, Private,165937, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K\n60, State-gov,114060, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n53, State-gov,58913, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n37, State-gov,378916, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,241885, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,224421, Assoc-voc,11, Married-AF-spouse, Farming-fishing, Husband, White, Male,0,0,44, United-States, >50K\n31, ?,213771, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,36, United-States, <=50K\n39, Private,315565, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, Cuba, <=50K\n31, Local-gov,153005, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,98211, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K\n17, Private,198606, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,16, United-States, <=50K\n19, Private,260333, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n24, Private,219510, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,32, United-States, <=50K\n62, Private,266624, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,6418,0,40, United-States, >50K\n34, Private,136862, 1st-4th,2, Never-married, Other-service, Other-relative, White, Female,0,0,40, Guatemala, <=50K\n47, Self-emp-inc,215620, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n58, Private,187067, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,62, Canada, <=50K\n23, Private,325921, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K\n33, Private,268127, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n76, Private,142535, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Male,0,0,6, United-States, <=50K\n40, Private,177083, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n28, Private,77009, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K\n41, Private,306405, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K\n46, Local-gov,303918, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,96, United-States, >50K\n22, Federal-gov,262819, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,49087, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,53833, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n31, Private,1033222, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,8614,0,40, United-States, >50K\n22, Private,81145, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n41, Private,215479, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,43, United-States, <=50K\n29, Private,113464, HS-grad,9, Never-married, Transport-moving, Other-relative, Other, Male,0,0,40, Dominican-Republic, <=50K\n60, Private,109530, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, United-States, >50K\n72, Federal-gov,217864, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-inc,117721, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K\n19, Private,199484, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n25, Private,248851, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,116968, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n59, Private,366618, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n17, Private,240143, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K\n59, ?,424468, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n69, ?,320280, Some-college,10, Never-married, ?, Not-in-family, White, Male,1848,0,1, United-States, <=50K\n25, Private,120238, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,2885,0,43, United-States, <=50K\n50, ?,194186, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K\n29, Private,247053, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,180599, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n29, Local-gov,190330, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n29, State-gov,199450, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, <=50K\n32, Local-gov,199539, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n17, ?,94366, 10th,6, Never-married, ?, Other-relative, White, Male,0,0,6, United-States, <=50K\n50, Self-emp-not-inc,29231, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n43, Private,33126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,102085, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,212064, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n54, State-gov,166774, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K\n65, Private,95303, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n18, ?,379768, HS-grad,9, Never-married, ?, Own-child, Other, Female,0,0,40, United-States, <=50K\n70, Self-emp-inc,247383, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,229465, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n37, Private,135436, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K\n21, Private,180052, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K\n20, Private,214387, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n47, State-gov,149337, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,38, United-States, <=50K\n26, Private,208326, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3942,0,45, United-States, <=50K\n31, Private,34374, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n45, Self-emp-not-inc,58683, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,403037, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Private,32365, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n49, Private,155489, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n33, Self-emp-inc,289886, HS-grad,9, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n30, Federal-gov,54684, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, ?, <=50K\n19, Private,101549, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n48, Self-emp-inc,51579, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n41, Private,40151, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n29, Private,244721, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,35, United-States, >50K\n47, Local-gov,228372, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K\n53, Local-gov,236873, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n19, Private,250249, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n71, Private,93202, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K\n29, Private,176723, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K\n43, Local-gov,175526, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,91842, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K\n52, Private,71768, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Private,181220, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,204516, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,89172, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, <=50K\n37, Federal-gov,143547, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,310889, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n31, Local-gov,150324, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,216472, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n64, Private,212838, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n45, Private,168283, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,187702, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n19, Private,60661, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,52, United-States, <=50K\n54, Private,115284, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, United-States, >50K\n61, Self-emp-inc,98350, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K\n18, Private,195372, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n62, ?,81578, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,111567, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,244572, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,37, United-States, <=50K\n54, Private,230919, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,282604, Some-college,10, Married-civ-spouse, Protective-serv, Other-relative, White, Male,0,0,24, United-States, <=50K\n54, Private,320196, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, Germany, <=50K\n42, Private,201466, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n51, Federal-gov,254211, Masters,14, Widowed, Sales, Unmarried, White, Male,0,0,50, El-Salvador, >50K\n41, Private,599629, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, >50K\n47, Local-gov,219632, Assoc-acdm,12, Separated, Exec-managerial, Not-in-family, White, Male,0,1408,40, United-States, <=50K\n31, State-gov,161631, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n21, Private,202373, Assoc-voc,11, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n52, Private,169549, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,127185, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K\n18, Private,184277, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n58, Private,119751, HS-grad,9, Married-civ-spouse, Priv-house-serv, Other-relative, Asian-Pac-Islander, Female,0,0,60, Philippines, <=50K\n23, Private,294701, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n21, Private,26842, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n43, State-gov,114537, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,126386, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,163787, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n44, Private,98211, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,175509, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n48, Private,159854, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-inc,120920, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n24, Private,187551, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K\n41, State-gov,27305, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,216711, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n47, Local-gov,218596, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,280292, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,32, United-States, <=50K\n40, Private,200496, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,78090, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K\n23, Private,118693, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,203488, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n27, Local-gov,172091, HS-grad,9, Never-married, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n32, Private,113364, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n72, Self-emp-not-inc,139889, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,74, United-States, <=50K\n43, Local-gov,301638, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1579,40, United-States, <=50K\n32, Private,110279, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K\n53, Private,242859, Some-college,10, Separated, Adm-clerical, Own-child, White, Male,0,0,40, Cuba, <=50K\n18, Private,132986, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n38, Private,254439, 10th,6, Widowed, Transport-moving, Unmarried, Black, Male,114,0,40, United-States, <=50K\n41, Federal-gov,187462, Assoc-voc,11, Divorced, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n29, Private,264961, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K\n70, ?,148065, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,4, United-States, >50K\n46, Self-emp-inc,200949, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,50, ?, <=50K\n47, Private,47247, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n56, Local-gov,571017, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,15, United-States, <=50K\n28, Private,416577, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,2829,0,40, United-States, <=50K\n55, State-gov,296991, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n50, State-gov,45961, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,6849,0,40, United-States, <=50K\n47, Private,302711, 11th,7, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-inc,50356, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,199336, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,25, United-States, <=50K\n42, Private,341178, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,44, Mexico, <=50K\n42, Federal-gov,70240, Some-college,10, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n46, Private,229394, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,390368, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,15024,0,99, United-States, >50K\n55, Private,82098, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,55, United-States, <=50K\n57, Private,170411, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,109532, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,142682, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, Dominican-Republic, <=50K\n34, Self-emp-inc,127651, Bachelors,13, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K\n27, Local-gov,236472, Bachelors,13, Divorced, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K\n25, Private,176047, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,2176,0,40, United-States, <=50K\n37, Private,111499, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,425199, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,45, United-States, <=50K\n38, Private,229009, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K\n17, Private,232713, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,594,0,30, United-States, <=50K\n70, Private,141742, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,9386,0,50, United-States, >50K\n37, Private,234807, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,37, United-States, <=50K\n45, Private,738812, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K\n56, Private,204816, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n64, Private,342494, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,226311, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K\n23, Private,143062, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,125155, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,90, United-States, <=50K\n23, Private,329925, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n26, ?,208994, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,12, United-States, <=50K\n56, Local-gov,212864, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,214242, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n47, Self-emp-not-inc,191175, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,2179,50, Mexico, <=50K\n21, Private,118693, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,253593, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n32, State-gov,206051, Some-college,10, Married-spouse-absent, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K\n72, Private,497280, 9th,5, Widowed, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K\n69, Self-emp-not-inc,240562, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K\n19, Private,140985, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,25, United-States, <=50K\n25, Local-gov,191921, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,25, United-States, <=50K\n56, Private,204049, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1848,50, United-States, >50K\n42, Private,331651, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,8614,0,50, United-States, >50K\n58, Private,142158, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,35, United-States, <=50K\n24, Private,249046, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,213019, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,38, United-States, >50K\n40, Private,199599, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,186191, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, ?, <=50K\n25, Private,28008, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-inc,82488, Bachelors,13, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K\n36, Private,117073, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,325786, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,37546, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,204226, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,133299, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,29702, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,307812, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,174545, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,46, United-States, <=50K\n23, Private,233472, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,184147, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,20, United-States, <=50K\n27, Private,198188, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,2580,0,45, United-States, <=50K\n32, Private,447066, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,15024,0,50, United-States, >50K\n33, Private,200246, Some-college,10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,166585, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n21, Private,335570, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, ?, <=50K\n39, Private,53569, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,167065, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,113364, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K\n40, Federal-gov,219266, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n58, Federal-gov,200042, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n20, Private,205975, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n63, ?,234083, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,2205,40, United-States, <=50K\n56, Private,65325, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K\n30, Local-gov,194740, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,99065, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,39, United-States, <=50K\n25, Private,212793, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n33, Private,112941, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n41, State-gov,187322, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,283676, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,173682, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,168470, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,186454, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,13550,0,40, United-States, >50K\n58, Private,141807, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Italy, <=50K\n25, Private,245628, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,15, Mexico, <=50K\n31, Private,264864, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n39, Private,262841, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n55, Private,37438, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,170800, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K\n44, Private,152150, Assoc-acdm,12, Separated, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, ?,211873, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,1628,5, ?, <=50K\n44, Private,159580, 12th,8, Divorced, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, Private,477209, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,54, United-States, <=50K\n32, Private,70985, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,241998, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,249541, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,135339, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n32, Private,44675, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K\n46, State-gov,247992, 7th-8th,4, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n26, Self-emp-not-inc,221626, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,1579,20, United-States, <=50K\n43, Self-emp-inc,48087, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, Local-gov,114045, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n60, State-gov,69251, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,38, China, >50K\n67, Private,192670, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n19, Private,268392, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,30, United-States, <=50K\n55, ?,170994, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,431513, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, >50K\n19, State-gov,37332, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n19, Private,35865, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n43, Private,183891, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,150309, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,90, United-States, <=50K\n65, Private,93318, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, <=50K\n32, Private,171814, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, State-gov,183735, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,353541, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n33, Local-gov,152351, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,3908,0,40, United-States, <=50K\n72, ?,271352, 10th,6, Divorced, ?, Not-in-family, White, Male,0,0,12, United-States, <=50K\n34, Private,345705, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K\n27, Private,223751, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n75, Self-emp-inc,164570, 11th,7, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n39, ?,281363, 10th,6, Widowed, ?, Unmarried, White, Female,0,0,15, United-States, <=50K\n51, Private,110747, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K\n47, Private,34458, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,254293, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,270147, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n48, Private,195491, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n36, Local-gov,255454, Bachelors,13, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n18, Private,126125, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n33, Private,618191, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,163110, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,145409, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,48, United-States, >50K\n39, State-gov,235379, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,55465, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n67, Local-gov,181220, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n42, Private,26672, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n59, Private,98361, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Local-gov,219883, HS-grad,9, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n19, Private,376683, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,2036,0,30, United-States, <=50K\n47, Private,33865, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, <=50K\n68, Private,168794, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n30, Private,94245, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,34572, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,60, United-States, <=50K\n49, Private,348751, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,65382, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n60, Private,116707, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K\n51, Private,178054, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, ?, >50K\n24, Private,140001, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,166889, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Female,0,1602,35, United-States, <=50K\n24, Private,117789, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,238917, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n48, Local-gov,242923, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,1848,40, United-States, >50K\n52, Local-gov,330799, 9th,5, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n48, Private,209460, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Federal-gov,75313, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,66, United-States, >50K\n29, ?,339100, 11th,7, Divorced, ?, Not-in-family, White, Female,3418,0,48, United-States, <=50K\n20, Private,184779, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,20, United-States, <=50K\n31, Private,139000, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K\n30, Private,361742, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,260782, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, ?, <=50K\n51, Private,203435, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,100579, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,356067, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,16, United-States, <=50K\n46, Private,87250, Bachelors,13, Separated, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,264663, Some-college,10, Separated, Prof-specialty, Own-child, White, Female,0,3900,40, United-States, <=50K\n29, Private,255817, 5th-6th,3, Never-married, Other-service, Other-relative, White, Female,0,0,40, El-Salvador, <=50K\n48, Self-emp-not-inc,243631, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,30, South, <=50K\n34, Self-emp-inc,544268, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n42, Self-emp-not-inc,98061, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,95691, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,30, Columbia, <=50K\n47, Private,145868, 11th,7, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,65038, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,227734, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,22, United-States, <=50K\n19, Local-gov,176831, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,35, United-States, <=50K\n22, Private,211678, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Local-gov,157240, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,70, United-States, <=50K\n41, Self-emp-not-inc,145441, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Yugoslavia, <=50K\n71, Self-emp-inc,66624, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2392,60, United-States, >50K\n42, Private,76487, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n31, State-gov,557853, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,47, United-States, <=50K\n69, ?,262352, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K\n58, Self-emp-not-inc,118253, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n36, Private,146625, 11th,7, Widowed, Other-service, Unmarried, Black, Female,0,0,12, United-States, <=50K\n31, Private,174201, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n20, ?,66695, Some-college,10, Never-married, ?, Own-child, Other, Female,594,0,35, United-States, <=50K\n41, Private,121130, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,385847, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, ?,83439, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,114158, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K\n27, Private,381789, 12th,8, Married-civ-spouse, Farming-fishing, Own-child, White, Male,0,0,55, United-States, <=50K\n17, Private,82041, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Canada, <=50K\n35, Self-emp-not-inc,115618, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n45, Self-emp-not-inc,106110, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,99, United-States, <=50K\n44, Private,267521, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,90692, Assoc-voc,11, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n51, Private,57101, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,236913, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K\n64, Self-emp-not-inc,388625, 10th,6, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,10, United-States, >50K\n54, Self-emp-not-inc,261207, 7th-8th,4, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, Cuba, <=50K\n43, Private,245487, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K\n32, Private,262153, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K\n36, Private,225516, Assoc-acdm,12, Never-married, Sales, Not-in-family, Black, Male,10520,0,43, United-States, >50K\n26, Self-emp-not-inc,68729, HS-grad,9, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male,0,0,50, United-States, >50K\n37, Private,126954, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n38, Private,85074, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,383306, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,128143, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,50, United-States, >50K\n47, Private,185041, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n42, Private,99373, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, Local-gov,157942, HS-grad,9, Widowed, Transport-moving, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n43, Private,241928, HS-grad,9, Separated, Adm-clerical, Not-in-family, Black, Female,0,0,32, United-States, <=50K\n37, Private,348739, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n37, Private,95654, 10th,6, Divorced, Exec-managerial, Unmarried, White, Female,0,0,35, United-States, <=50K\n25, Private,367306, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,270421, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n63, ?,221592, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n50, Self-emp-not-inc,156951, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K\n42, State-gov,39239, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, <=50K\n32, Private,72744, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n42, State-gov,367292, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-not-inc,408498, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,361493, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n65, Self-emp-inc,157403, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,231263, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,244147, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,10, United-States, <=50K\n24, Private,220944, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n51, Federal-gov,314007, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n67, ?,200862, 10th,6, Never-married, ?, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n28, Private,33374, 11th,7, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n32, Self-emp-inc,345489, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n77, Private,83601, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,162302, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n26, Private,112847, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,147344, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n57, State-gov,183657, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,35, United-States, >50K\n40, Private,130760, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n50, Private,163948, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,316797, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,45, Mexico, <=50K\n54, Federal-gov,332243, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,195844, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n51, Local-gov,387250, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n38, State-gov,188303, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,40, United-States, >50K\n68, ?,40956, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n17, Private,178953, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n32, Private,398988, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,535978, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n42, Private,296982, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n40, Private,231991, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,295799, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, State-gov,201569, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n58, Private,193568, 11th,7, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, Private,97128, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n42, Private,203393, Bachelors,13, Married-civ-spouse, Craft-repair, Wife, Black, Female,0,0,35, United-States, >50K\n49, Private,138370, Masters,14, Married-spouse-absent, Protective-serv, Not-in-family, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n41, Self-emp-inc,120277, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, <=50K\n43, Private,91949, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n46, Private,228372, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,40, United-States, >50K\n28, Private,132191, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n39, Self-emp-not-inc,274683, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n50, Local-gov,196307, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n57, Private,195835, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,185399, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,38, United-States, <=50K\n79, Self-emp-not-inc,103684, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,140559, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,45, United-States, <=50K\n35, Federal-gov,110188, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n35, Local-gov,668319, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1740,80, United-States, <=50K\n30, Private,112358, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, >50K\n26, Private,151810, 10th,6, Never-married, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n49, Private,48120, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Female,1506,0,40, United-States, <=50K\n48, Private,144844, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,205839, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K\n22, Private,113760, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n50, Private,138358, 10th,6, Separated, Adm-clerical, Not-in-family, Black, Female,0,0,47, Jamaica, <=50K\n47, Self-emp-not-inc,216657, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n36, Private,278576, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n44, Private,174373, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n73, Private,220019, 9th,5, Widowed, Other-service, Unmarried, White, Female,0,0,9, United-States, <=50K\n24, ?,311949, HS-grad,9, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,45, ?, <=50K\n34, Private,303867, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,154210, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Hong, <=50K\n28, ?,131310, 12th,8, Married-civ-spouse, ?, Wife, White, Female,0,0,20, Germany, <=50K\n46, Private,202560, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n20, ?,358783, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n29, Private,423024, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n24, Private,206671, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, State-gov,245310, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n18, Private,31983, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Private,124956, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,90, United-States, >50K\n59, Private,118358, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,491421, 5th-6th,3, Never-married, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K\n50, Private,151580, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,248990, 1st-4th,2, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,24, Mexico, <=50K\n42, Private,157425, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n36, Private,221650, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Japan, <=50K\n62, Private,88055, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, >50K\n71, Private,216608, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,682947, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n44, Private,228124, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n19, ?,217194, 10th,6, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n49, Self-emp-not-inc,171540, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n60, Self-emp-inc,210827, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n28, Self-emp-not-inc,410351, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Poland, <=50K\n26, Private,163747, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,55, United-States, <=50K\n18, Private,108892, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n43, Private,180096, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n65, Local-gov,153890, 12th,8, Widowed, Exec-managerial, Not-in-family, White, Male,2009,0,44, United-States, <=50K\n23, Private,117480, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,44, United-States, <=50K\n21, Private,163333, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n20, Self-emp-not-inc,306710, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,150553, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,18, Philippines, <=50K\n77, Private,123959, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K\n32, Private,24961, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n37, Local-gov,327120, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n29, Self-emp-not-inc,33798, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n59, Private,81929, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,45, United-States, >50K\n22, Private,298489, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n30, ?,101697, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K\n31, Private,144064, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n59, Self-emp-not-inc,195835, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n29, Federal-gov,184723, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, >50K\n56, Private,265086, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n19, Private,235909, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n37, Private,42645, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n58, State-gov,279878, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,104892, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,137063, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,38, United-States, <=50K\n38, Self-emp-not-inc,58972, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,126675, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n19, Private,286435, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,594,0,40, United-States, <=50K\n46, Private,191389, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,28, United-States, >50K\n42, Private,183241, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n29, Private,91547, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,52781, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n29, Private,210959, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,365516, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,112271, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,269455, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n46, Private,164379, Bachelors,13, Divorced, Sales, Unmarried, Black, Female,0,0,35, United-States, >50K\n28, Private,109621, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,104858, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, United-States, >50K\n39, Private,99270, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n44, Private,193524, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n70, ?,149040, HS-grad,9, Widowed, ?, Not-in-family, White, Female,2964,0,12, United-States, <=50K\n60, State-gov,313946, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,162358, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n59, Private,200700, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,48, United-States, >50K\n21, Private,116489, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,60, United-States, <=50K\n22, Private,118310, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Female,0,0,16, United-States, <=50K\n31, Private,352465, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n40, Private,107433, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n33, Private,296538, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n41, Local-gov,195897, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n31, Self-emp-not-inc,216283, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, >50K\n62, Private,345780, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,216685, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, <=50K\n28, Local-gov,210945, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,60, United-States, <=50K\n43, Private,184321, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,1887,40, United-States, >50K\n55, Self-emp-not-inc,322691, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,3103,0,55, United-States, >50K\n42, Private,192712, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n23, Private,178272, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Federal-gov,321333, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n44, Self-emp-inc,120277, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,45, United-States, >50K\n19, Private,294029, 11th,7, Never-married, Sales, Own-child, Other, Female,0,0,32, Nicaragua, <=50K\n23, Private,112819, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,152636, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,50, United-States, <=50K\n63, ?,301611, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n51, Private,134808, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,64216, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,90, United-States, <=50K\n29, State-gov,214284, Masters,14, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,20, Taiwan, <=50K\n25, Private,469572, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,40, United-States, >50K\n44, Self-emp-not-inc,282722, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n17, Private,231439, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n42, Self-emp-inc,120277, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,364685, 11th,7, Never-married, Tech-support, Own-child, White, Female,0,0,35, United-States, <=50K\n26, Private,18827, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,169129, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,202051, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n58, ?,353244, Bachelors,13, Widowed, ?, Unmarried, White, Female,27828,0,50, United-States, >50K\n19, Private,574271, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,28, United-States, <=50K\n65, State-gov,29276, 7th-8th,4, Widowed, Other-service, Other-relative, White, Female,0,0,24, United-States, <=50K\n52, Self-emp-not-inc,104501, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, >50K\n17, Private,394176, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n27, Private,85625, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,22, United-States, <=50K\n53, Private,340723, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,149342, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,73715, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,143083, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,18, United-States, <=50K\n40, Local-gov,290660, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,8614,0,50, United-States, >50K\n49, Local-gov,98738, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n86, Private,149912, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Private,309033, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,60, United-States, >50K\n43, Self-emp-not-inc,96129, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K\n47, Private,216096, Some-college,10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,35, Puerto-Rico, <=50K\n32, Private,171091, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n30, Self-emp-not-inc,79303, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n25, Local-gov,182380, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,36271, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n60, Private,118197, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K\n46, Private,269652, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,38, United-States, >50K\n39, Local-gov,193815, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,141957, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,1887,70, United-States, >50K\n26, Private,222637, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,55, Puerto-Rico, <=50K\n27, Private,118230, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Private,174040, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n64, State-gov,105748, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n90, Self-emp-not-inc,82628, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,2964,0,12, United-States, <=50K\n51, Private,205100, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,45, United-States, >50K\n36, Private,107916, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2002,40, United-States, <=50K\n39, Private,130620, 7th-8th,4, Married-spouse-absent, Machine-op-inspct, Unmarried, Other, Female,0,0,40, Dominican-Republic, <=50K\n30, ?,361817, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n47, Self-emp-not-inc,235646, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,53277, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n24, Private,456460, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n23, Private,293091, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n62, Private,210935, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n48, ?,199763, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K\n62, ?,223447, 12th,8, Divorced, ?, Not-in-family, White, Male,0,0,40, Canada, <=50K\n35, Self-emp-not-inc,233533, Bachelors,13, Separated, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K\n27, Private,95647, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n49, Private,199763, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,35, United-States, <=50K\n18, Private,74539, 10th,6, Never-married, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K\n19, Private,84610, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n63, Self-emp-inc,96930, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,115602, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K\n24, Private,237341, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n61, Private,143800, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n50, Self-emp-inc,163921, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K\n36, Private,68273, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,113163, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K\n38, Self-emp-inc,478829, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K\n30, Private,345705, Some-college,10, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K\n22, Private,385077, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,2907,0,40, United-States, <=50K\n33, Private,192286, Some-college,10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,52, United-States, <=50K\n39, Local-gov,236391, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, >50K\n42, Private,106679, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n47, ?,308242, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,46094, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,33, United-States, <=50K\n29, Private,194940, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,341643, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K\n23, Private,210474, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n28, Private,76313, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n34, Private,115858, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,55191, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n67, Self-emp-not-inc,364862, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n49, Private,334787, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,205733, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, ?,120163, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,333677, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,2463,0,35, United-States, <=50K\n25, Private,208591, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,341204, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,1831,0,30, United-States, <=50K\n56, Self-emp-not-inc,115422, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-inc,111319, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1887,45, United-States, >50K\n54, Private,816750, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, United-States, <=50K\n25, Private,167835, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,3325,0,40, United-States, <=50K\n28, Private,92262, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,91964, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,107682, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, State-gov,135388, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n39, Self-emp-not-inc,597843, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, Columbia, <=50K\n19, Private,389942, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,442274, 12th,8, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n23, Private,595461, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n52, Private,284329, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n33, Self-emp-not-inc,127894, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,196899, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Female,0,0,50, Haiti, <=50K\n58, Private,212534, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,71209, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n39, Private,237943, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,70, United-States, >50K\n38, Private,190759, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,100313, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n41, Private,344624, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n27, ?,194024, 9th,5, Separated, ?, Unmarried, White, Female,0,0,50, United-States, <=50K\n19, Private,87497, 11th,7, Never-married, Transport-moving, Other-relative, White, Male,0,0,10, United-States, <=50K\n22, Private,236907, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n59, Private,169639, Assoc-acdm,12, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n37, Private,105803, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,45, United-States, >50K\n31, Private,149507, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K\n18, Private,294387, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,161708, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n28, Private,282389, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n28, Private,64940, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n49, Private,195727, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,37931, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,170720, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n43, Private,152958, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n28, Private,312372, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,15024,0,40, United-States, >50K\n41, Private,39581, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,24, El-Salvador, <=50K\n50, Private,206862, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n46, Private,216934, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, Portugal, <=50K\n20, Private,143062, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,242391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n28, Private,165030, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n37, Private,199251, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,353012, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K\n66, Private,174491, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n35, ?,333305, Some-college,10, Married-civ-spouse, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,203138, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, United-States, >50K\n25, Private,220220, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K\n55, Federal-gov,305850, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n48, Local-gov,273402, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,40, United-States, <=50K\n56, Private,201344, Some-college,10, Widowed, Craft-repair, Unmarried, White, Female,0,0,38, United-States, <=50K\n47, Self-emp-not-inc,218676, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n55, Self-emp-not-inc,141807, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, State-gov,222434, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,266860, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n40, Private,34113, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male,6849,0,43, United-States, <=50K\n41, Private,159549, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,195248, Some-college,10, Never-married, Sales, Own-child, Other, Female,0,0,20, United-States, <=50K\n52, Private,109413, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n62, Private,195343, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Male,15020,0,50, United-States, >50K\n46, Private,185291, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, >50K\n21, ?,140012, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n35, Self-emp-not-inc,114366, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,169631, HS-grad,9, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,163870, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,3908,0,40, United-States, <=50K\n35, Private,312232, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n46, Private,229737, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, India, >50K\n70, ?,306563, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,161637, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1902,40, Taiwan, >50K\n34, Private,106014, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n21, Private,25265, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K\n29, Private,71860, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n41, Self-emp-inc,94113, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n51, Self-emp-not-inc,208003, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,113550, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Private,83046, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-inc,277488, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,65, United-States, >50K\n19, Private,205830, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, El-Salvador, <=50K\n46, Private,273575, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,40, United-States, >50K\n23, Private,245147, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n49, Private,274720, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,163047, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, State-gov,47902, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n50, Private,128798, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n77, Private,154205, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,10, United-States, <=50K\n27, Private,176683, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K\n29, Self-emp-inc,104737, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n54, Private,349340, Preschool,1, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n39, State-gov,218249, Some-college,10, Separated, Prof-specialty, Unmarried, Black, Female,0,0,37, United-States, <=50K\n32, Private,281540, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n36, Federal-gov,112847, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n24, Local-gov,126613, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n50, Self-emp-not-inc,145419, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7688,0,45, United-States, >50K\n32, Self-emp-not-inc,34572, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K\n26, Private,104045, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, ?,57665, Bachelors,13, Divorced, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,359001, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, <=50K\n47, Private,105273, Bachelors,13, Widowed, Craft-repair, Unmarried, Black, Female,6497,0,40, United-States, <=50K\n31, Private,201122, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,160035, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n50, Private,167886, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,32059, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n59, Self-emp-inc,200453, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,403072, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,37210, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K\n32, Private,199416, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,413227, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n29, ?,188675, Some-college,10, Divorced, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n42, Private,226902, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n37, Private,195189, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Private,116608, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n59, Private,99131, Masters,14, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n32, Private,553405, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,50, United-States, >50K\n52, Local-gov,186117, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, >50K\n29, State-gov,67053, HS-grad,9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Thailand, <=50K\n39, Private,347960, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,14084,0,35, United-States, >50K\n39, Private,325374, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n69, Private,130413, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Female,2346,0,15, United-States, <=50K\n43, Private,111949, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K\n39, Private,278557, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1628,48, United-States, <=50K\n19, Private,194905, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n60, Local-gov,195453, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n51, Private,282549, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,3137,0,40, United-States, <=50K\n75, Private,316119, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,8, United-States, <=50K\n37, State-gov,252939, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, Black, Female,5455,0,40, United-States, <=50K\n24, State-gov,506329, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n20, Private,316043, 11th,7, Never-married, Other-service, Own-child, Black, Male,594,0,20, United-States, <=50K\n58, Federal-gov,319733, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K\n21, State-gov,99199, Masters,14, Never-married, Transport-moving, Own-child, White, Male,0,0,15, United-States, <=50K\n28, Private,204600, HS-grad,9, Separated, Protective-serv, Other-relative, White, Male,0,0,40, United-States, <=50K\n40, Private,173307, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,34446, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n40, Self-emp-not-inc,237293, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,40, United-States, >50K\n41, Private,175642, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Private,203735, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Local-gov,171589, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n26, Private,197967, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K\n29, Private,413297, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,45, Mexico, <=50K\n45, Private,240841, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,152189, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, State-gov,85874, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,176814, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n51, Local-gov,133336, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n22, Private,362623, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n67, ?,37170, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,3, United-States, <=50K\n28, Private,30912, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,35448, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n33, Private,173248, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,35, United-States, <=50K\n37, Private,49626, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,43, United-States, <=50K\n19, Private,102723, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n90, ?,166343, 1st-4th,2, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n35, Private,168322, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,131117, 7th-8th,4, Divorced, Tech-support, Unmarried, White, Female,0,0,38, Columbia, <=50K\n20, ?,210474, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K\n25, Private,110138, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,107452, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n32, Private,160594, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n32, Local-gov,186784, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,5013,0,45, United-States, <=50K\n70, Local-gov,334666, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,12, United-States, <=50K\n65, ?,191380, 10th,6, Married-civ-spouse, ?, Husband, White, Male,9386,0,50, United-States, >50K\n57, Private,104272, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,19491, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,128715, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n34, Private,128063, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K\n26, Self-emp-not-inc,37023, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,78, United-States, <=50K\n44, Private,68748, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n66, Private,140576, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,327435, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,202729, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,277471, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,189670, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,50, United-States, <=50K\n61, Private,204908, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,171841, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,78247, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,68895, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, Mexico, <=50K\n27, Private,56658, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0,0,8, United-States, <=50K\n58, Local-gov,259216, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, State-gov,270278, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,12, Puerto-Rico, <=50K\n56, Private,238806, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,26, United-States, <=50K\n36, Private,111128, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K\n29, Private,119429, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n28, Private,73037, 10th,6, Never-married, Transport-moving, Unmarried, White, Male,0,0,30, United-States, <=50K\n61, Self-emp-not-inc,84409, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n66, Self-emp-not-inc,274451, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, >50K\n31, Private,246439, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298,0,50, United-States, >50K\n21, Private,124242, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n67, Self-emp-not-inc,123393, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,6418,0,58, United-States, >50K\n26, Private,159732, HS-grad,9, Widowed, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,161415, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n33, Private,157568, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,168030, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n59, State-gov,349910, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,10605,0,50, United-States, >50K\n82, Self-emp-inc,130329, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n34, State-gov,56964, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n29, Private,370509, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, France, >50K\n19, Private,106306, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,56480, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,1, United-States, <=50K\n41, Private,115932, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n55, Private,154580, 10th,6, Married-civ-spouse, Other-service, Husband, Black, Male,2580,0,40, United-States, <=50K\n27, Private,404421, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n33, Private,194901, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n43, State-gov,164790, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,50, United-States, >50K\n72, Federal-gov,94242, Some-college,10, Widowed, Tech-support, Not-in-family, White, Female,0,0,16, United-States, <=50K\n68, Self-emp-not-inc,365020, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,160512, HS-grad,9, Separated, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Private,170331, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n30, Private,101266, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,100252, Bachelors,13, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male,99999,0,70, United-States, >50K\n54, Private,217718, 5th-6th,3, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,30, Haiti, <=50K\n32, Private,170154, Assoc-acdm,12, Separated, Exec-managerial, Unmarried, White, Female,25236,0,50, United-States, >50K\n56, Private,105281, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,1974,40, United-States, <=50K\n39, ?,361838, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,6, United-States, >50K\n41, State-gov,283917, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n48, Private,39530, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,212185, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, <=50K\n25, Self-emp-inc,90752, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n31, Private,202450, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1573,40, United-States, <=50K\n32, Private,168138, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,2597,0,48, United-States, <=50K\n51, Private,159755, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n42, Private,191765, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Female,0,2339,40, Trinadad&Tobago, <=50K\n22, ?,210802, Some-college,10, Never-married, ?, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n31, Private,340880, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n43, Self-emp-not-inc,113211, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n42, Private,134509, Some-college,10, Never-married, Transport-moving, Unmarried, Black, Female,0,0,40, United-States, <=50K\n20, State-gov,147280, HS-grad,9, Never-married, Other-service, Other-relative, Other, Male,0,0,40, United-States, <=50K\n40, Private,145441, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n65, Private,398001, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n53, Private,31588, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,52, United-States, >50K\n56, Private,189975, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,60, United-States, >50K\n51, State-gov,231495, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K\n38, ?,121135, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,186916, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n49, Self-emp-inc,213140, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K\n47, Private,176893, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,8614,0,44, United-States, >50K\n22, Private,115244, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n53, Private,313243, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,2444,45, United-States, >50K\n41, Local-gov,169995, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,20, United-States, <=50K\n19, Private,198459, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,2001,40, United-States, <=50K\n27, Local-gov,66824, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,3325,0,43, United-States, <=50K\n48, Self-emp-not-inc,52240, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, >50K\n52, Private,35305, 7th-8th,4, Never-married, Other-service, Own-child, White, Female,0,0,7, United-States, <=50K\n61, State-gov,186451, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n45, Self-emp-not-inc,160724, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,45, China, >50K\n29, Private,210464, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,207685, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,21, United-States, <=50K\n38, Private,233717, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Male,0,0,60, United-States, <=50K\n32, Private,222205, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n37, Private,167613, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,148773, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n62, Local-gov,68268, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,174533, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,273230, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,187502, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,24, United-States, <=50K\n47, Private,209320, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,56841, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K\n55, Private,254627, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,42703, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Private,374137, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,196385, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,192930, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,10, United-States, <=50K\n39, Private,99527, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,185437, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Female,0,0,55, United-States, <=50K\n43, Private,247162, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Federal-gov,131534, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n18, Private,184693, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, Mexico, <=50K\n27, Private,704108, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,220262, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,95654, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,60, United-States, <=50K\n67, Private,89346, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,94392, 11th,7, Separated, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n21, Private,334113, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Private,32763, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n31, Private,136651, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n51, Self-emp-not-inc,240236, Assoc-acdm,12, Separated, Sales, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n29, Private,53271, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,31493, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, >50K\n32, Private,195891, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n31, Local-gov,209103, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,3464,0,45, United-States, <=50K\n26, Private,211424, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n28, Local-gov,84657, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,151408, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,106819, 7th-8th,4, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,19, United-States, <=50K\n62, Private,132917, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,20, United-States, <=50K\n54, Private,146834, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K\n55, Private,164332, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K\n24, Private,30656, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,20, United-States, <=50K\n27, Private,113501, Masters,14, Never-married, Adm-clerical, Own-child, White, Male,0,0,45, United-States, <=50K\n18, Private,165316, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K\n22, Private,233955, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,14344,0,40, United-States, >50K\n21, Private,126613, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Self-emp-not-inc,361280, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,80, Philippines, >50K\n50, ?,123044, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, >50K\n38, Private,165472, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,99452, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,84977, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,240458, 11th,7, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n51, Private,230858, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,60, United-States, >50K\n60, Private,123218, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n62, ?,191118, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,7298,0,40, United-States, >50K\n38, Private,115289, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,373895, Some-college,10, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n43, Private,152617, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n49, State-gov,72619, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n17, Private,41865, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n32, Private,190228, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K\n23, Private,193090, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K\n28, Private,138692, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n83, Self-emp-inc,153183, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2392,55, United-States, >50K\n25, Private,181896, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Private,268183, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,60, United-States, <=50K\n46, Local-gov,213668, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,99369, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,50, United-States, <=50K\n44, Private,104196, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n60, Self-emp-not-inc,176839, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n30, Local-gov,99502, Assoc-voc,11, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n24, Private,183410, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,17, United-States, <=50K\n17, Private,25690, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n76, ?,201986, 11th,7, Widowed, ?, Other-relative, White, Female,0,0,16, United-States, <=50K\n31, Private,188961, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n52, Private,114971, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,121468, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,35, United-States, <=50K\n73, Self-emp-inc,191540, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n38, Private,146398, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,24, United-States, <=50K\n48, Private,193553, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n60, Private,121127, 10th,6, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,389856, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,290504, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n54, State-gov,137065, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n50, Local-gov,212685, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n20, Private,71475, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,111450, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,22, United-States, <=50K\n35, Private,225860, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,129853, 10th,6, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n50, Private,99925, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,32, United-States, <=50K\n58, Private,227800, 1st-4th,2, Separated, Farming-fishing, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n55, State-gov,111130, Assoc-acdm,12, Divorced, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n29, Private,100764, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n47, Private,275095, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,147500, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K\n63, Local-gov,150079, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n27, Private,140863, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n62, ?,199198, 11th,7, Divorced, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n38, Private,193372, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,196771, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,65, United-States, <=50K\n31, Private,231826, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,52, Mexico, <=50K\n40, Federal-gov,196456, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Private,34037, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n52, Private,174964, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,91608, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,403468, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,50, Mexico, <=50K\n33, Private,112900, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n58, Private,242670, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Local-gov,187830, HS-grad,9, Divorced, Tech-support, Unmarried, White, Male,4934,0,36, United-States, >50K\n25, Self-emp-not-inc,368115, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,13550,0,35, United-States, >50K\n54, Private,343242, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,113390, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1740,60, United-States, <=50K\n28, Private,200733, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Self-emp-not-inc,236769, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,22494, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Federal-gov,129379, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,239098, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,167501, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,77146, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n47, Private,82797, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n33, Self-emp-not-inc,134886, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n40, Self-emp-inc,218558, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n38, Private,207568, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K\n26, Private,196899, Assoc-acdm,12, Separated, Craft-repair, Not-in-family, Other, Female,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,200960, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n39, Private,188069, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K\n60, Private,232337, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,98656, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, State-gov,194260, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n49, ?,481987, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,234976, 11th,7, Never-married, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K\n29, Private,349116, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K\n39, Private,175390, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n42, Private,187720, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, ?, >50K\n26, Private,214637, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n27, Private,185127, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Private,98752, 9th,5, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, Local-gov,218382, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n51, Private,153486, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n51, Federal-gov,174102, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,137142, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n61, Private,241013, 7th-8th,4, Widowed, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n35, Private,267798, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n41, ?,152880, HS-grad,9, Divorced, ?, Not-in-family, Black, Female,0,0,28, United-States, <=50K\n31, Private,263561, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,113324, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n20, Private,39764, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,172186, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,460408, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1672,45, United-States, <=50K\n42, Self-emp-not-inc,185129, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n51, Private,61270, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n39, Self-emp-inc,124685, Masters,14, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,99, Japan, >50K\n69, Self-emp-not-inc,76968, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K\n63, ?,310396, 9th,5, Married-civ-spouse, ?, Husband, White, Male,5178,0,40, United-States, >50K\n29, Federal-gov,37933, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,2174,0,40, United-States, <=50K\n21, Private,38772, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n24, Private,172496, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,55, United-States, <=50K\n55, Private,306164, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,33795, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n48, Private,47686, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n31, Private,193132, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,42, United-States, <=50K\n52, Private,400004, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,101283, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,192384, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,113838, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,278322, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n56, Private,199713, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,236021, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,138938, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K\n36, Private,126946, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,44791, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,31964, 9th,5, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n60, State-gov,352156, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n70, Self-emp-not-inc,205860, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K\n21, Private,113106, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n57, Private,89182, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,250782, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n37, Private,193855, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,50, United-States, <=50K\n50, Self-emp-not-inc,132716, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n68, Private,218637, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,2377,55, United-States, >50K\n28, Private,177955, 11th,7, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Mexico, <=50K\n32, Private,198660, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,207937, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,10520,0,50, United-States, >50K\n18, Private,168740, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n45, Private,199625, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K\n22, Private,213902, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K\n38, Private,208379, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,8, United-States, <=50K\n37, Private,113120, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,57827, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n59, Private,515712, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-inc,54190, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n53, Self-emp-inc,134793, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n18, Private,396270, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K\n30, Private,231620, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n50, Private,174655, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n63, ?,97823, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,344480, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,40, United-States, <=50K\n48, Private,176732, 9th,5, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Private,143932, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,551962, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,50, Peru, <=50K\n30, ?,298577, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n39, Private,257942, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n55, Local-gov,253062, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,193748, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n46, Private,368561, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n50, Private,192964, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,65, United-States, <=50K\n32, Private,217304, Bachelors,13, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n18, Private,120029, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,62124, HS-grad,9, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n50, Private,94885, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n32, Private,192565, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n23, Local-gov,220912, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n26, Private,184120, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n46, Private,140782, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n43, Self-emp-inc,170785, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n32, Private,90705, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n37, State-gov,108293, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K\n48, Private,168283, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,339372, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,1408,40, United-States, <=50K\n43, Private,193672, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,143865, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n30, Private,209317, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, Dominican-Republic, <=50K\n34, State-gov,204461, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,137088, HS-grad,9, Married-civ-spouse, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n41, Private,149102, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n53, Private,182855, 10th,6, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K\n42, Private,572751, Preschool,1, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Nicaragua, <=50K\n18, Private,83451, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n81, Private,98116, Bachelors,13, Widowed, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n40, Private,119225, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,134888, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,35, United-States, <=50K\n20, Private,745817, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,15, United-States, <=50K\n41, Private,88368, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n49, State-gov,122066, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n22, Private,363219, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n46, Private,84402, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n56, Private,34626, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,1980,40, United-States, <=50K\n35, Private,150042, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n34, Private,48014, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n29, Local-gov,177398, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n28, Private,373698, 12th,8, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, ?, <=50K\n35, Private,422933, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K\n29, Private,131088, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,178255, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, Columbia, <=50K\n52, Self-emp-not-inc,129311, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,95, United-States, >50K\n45, Private,473171, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,236985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n35, ?,226379, HS-grad,9, Married-civ-spouse, ?, Other-relative, White, Female,0,0,25, United-States, <=50K\n21, ?,277700, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n35, Private,207568, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,85708, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,98765, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Canada, <=50K\n29, Private,192283, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K\n29, State-gov,271012, 10th,6, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n33, Private,189265, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,321880, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,15, United-States, <=50K\n52, Private,177465, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K\n24, Private,127647, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n32, State-gov,119033, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,289748, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,4650,0,48, United-States, <=50K\n32, Private,209317, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Male,0,0,40, ?, <=50K\n33, Private,284531, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,251120, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K\n28, Private,113870, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n62, Without-pay,170114, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n46, Local-gov,121124, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,15024,0,40, United-States, >50K\n32, Private,328199, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,0,64, United-States, <=50K\n26, Private,206307, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-inc,236021, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n57, Federal-gov,170603, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,74275, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,45, United-States, >50K\n35, Self-emp-not-inc,112271, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n19, Private,118306, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K\n49, Private,126754, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n47, Private,267205, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, ?, >50K\n38, Private,205359, 11th,7, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,32, United-States, <=50K\n30, Private,398662, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,202498, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Columbia, <=50K\n32, Private,105650, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n46, Private,191204, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,56582, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n47, Local-gov,51579, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K\n57, Self-emp-not-inc,152030, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,25, United-States, >50K\n47, Private,227310, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n41, Private,55854, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,56, United-States, >50K\n36, Local-gov,28996, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,160634, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n37, Private,222450, 11th,7, Married-spouse-absent, Other-service, Other-relative, White, Male,0,0,40, El-Salvador, <=50K\n36, Self-emp-inc,180419, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n64, Private,116084, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2635,0,40, United-States, <=50K\n17, Private,202521, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n23, Private,186014, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n40, Private,88368, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,914,0,40, United-States, <=50K\n42, State-gov,190044, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n37, Self-emp-not-inc,35330, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,42, United-States, <=50K\n35, Federal-gov,84848, Some-college,10, Never-married, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,176280, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K\n52, Private,145271, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n37, Local-gov,108320, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n48, State-gov,106377, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K\n24, Private,258730, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,40, Japan, <=50K\n33, Private,58305, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,341672, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n34, Private,176648, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,42, United-States, <=50K\n24, ?,32616, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,481175, Some-college,10, Never-married, Exec-managerial, Own-child, Other, Male,0,0,24, Peru, <=50K\n49, Private,187454, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,99999,0,65, United-States, >50K\n18, Private,25837, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K\n20, Private,385077, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Private,68985, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n19, Private,181572, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,23698, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, >50K\n34, ?,268127, 12th,8, Separated, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,162298, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,144608, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,250630, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n31, Private,150441, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n37, Private,189251, Doctorate,16, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n64, Private,260082, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Columbia, <=50K\n42, Private,139126, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,50132, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n36, Self-emp-not-inc,167691, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K\n36, Private,77820, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,156513, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n46, Private,248059, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3464,0,40, United-States, <=50K\n24, Private,283092, 11th,7, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,35, Jamaica, <=50K\n22, Private,175883, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n62, Private,232308, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,269991, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Puerto-Rico, <=50K\n20, Private,305446, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n47, Private,120781, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,15024,0,40, ?, >50K\n57, Private,78707, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,351802, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,35, United-States, <=50K\n37, Local-gov,196529, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n35, Self-emp-inc,175769, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n17, Private,153021, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n36, Local-gov,331902, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n50, Private,279461, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,145704, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,3942,0,35, United-States, <=50K\n27, State-gov,205499, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,77, United-States, <=50K\n28, Private,293926, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,30, United-States, <=50K\n29, Self-emp-not-inc,69132, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,99999,0,60, United-States, >50K\n25, Private,113099, HS-grad,9, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n47, Self-emp-inc,206947, Assoc-acdm,12, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,67, United-States, <=50K\n29, State-gov,159782, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n19, Private,410543, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, Private,34446, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,209101, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, >50K\n43, Federal-gov,95902, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,214323, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,236323, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Federal-gov,201127, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,56, United-States, >50K\n40, Private,142886, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,77313, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n17, ?,212125, 10th,6, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n36, Private,187098, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,196857, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n53, Local-gov,155314, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n72, Self-emp-not-inc,203289, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n46, Private,117059, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n33, Private,178587, Some-college,10, Separated, Prof-specialty, Unmarried, White, Female,0,0,37, United-States, <=50K\n22, Private,82393, 9th,5, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n17, ?,145258, 11th,7, Never-married, ?, Other-relative, White, Female,0,0,25, United-States, <=50K\n41, Private,185145, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, ?, >50K\n46, Private,72896, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K\n33, Private,134886, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n32, Private,223212, Preschool,1, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n52, Self-emp-not-inc,174752, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,230563, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n48, State-gov,353824, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K\n22, Private,117363, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n25, Private,285367, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K\n60, ?,139391, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,42, United-States, <=50K\n38, Private,198170, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,38948, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n49, Private,188515, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,177810, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n48, Private,188432, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,46, United-States, >50K\n31, Private,178506, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,129298, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,165315, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,37, United-States, <=50K\n68, Private,117236, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,45, United-States, >50K\n18, ?,172214, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,20, United-States, <=50K\n19, Private,63434, 12th,8, Never-married, Farming-fishing, Own-child, White, Female,0,0,30, United-States, <=50K\n35, Self-emp-inc,140854, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n28, Private,133043, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n53, Private,113176, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,2597,0,40, United-States, <=50K\n33, Private,259301, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,41, United-States, <=50K\n20, Private,196643, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,364365, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n36, Private,269318, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,108454, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n32, Private,171637, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,183589, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,25, United-States, <=50K\n24, Private,107801, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,179877, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,168981, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K\n37, Private,120590, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n31, Private,310773, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,40, Mexico, <=50K\n21, Private,197050, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n47, Private,159726, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,85, United-States, >50K\n23, Private,210797, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,55291, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n60, ?,141221, Bachelors,13, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,2163,25, South, <=50K\n17, Private,276718, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n67, Private,336163, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,24, United-States, <=50K\n57, Private,112840, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n17, Private,165918, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, Peru, <=50K\n53, Private,165745, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Self-emp-not-inc,259299, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,50, United-States, >50K\n24, State-gov,197731, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,49, United-States, >50K\n48, Self-emp-not-inc,197702, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,162238, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,47, United-States, >50K\n38, Private,213260, HS-grad,9, Separated, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n51, Private,53833, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,46, United-States, >50K\n18, Private,89419, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,10, United-States, <=50K\n23, Private,119704, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,433170, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n34, Private,182714, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,35, ?, <=50K\n39, Private,172538, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n20, ?,220115, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,12, United-States, <=50K\n39, Private,158956, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n21, Self-emp-not-inc,25631, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,476558, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n54, Federal-gov,35576, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,203463, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, State-gov,317647, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,170411, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n24, ?,174182, 11th,7, Married-civ-spouse, ?, Wife, Other, Female,0,0,24, United-States, <=50K\n54, Private,220055, Bachelors,13, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n54, Private,231482, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n67, Private,335979, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,991,0,18, United-States, <=50K\n33, Private,279173, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n37, Private,89559, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n47, Private,161950, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,25, Germany, <=50K\n51, Private,131068, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,219632, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,175507, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n58, Self-emp-inc,182062, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,24, United-States, >50K\n27, Private,287476, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,3325,0,40, United-States, <=50K\n36, Private,206253, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,1617,40, United-States, <=50K\n20, ?,189203, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,21698, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,328051, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n32, Private,356689, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,3887,0,40, United-States, <=50K\n59, Private,121865, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,420986, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n43, ?,218558, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,288992, 10th,6, Divorced, Prof-specialty, Unmarried, White, Male,14344,0,68, United-States, >50K\n20, ?,189740, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,32, United-States, <=50K\n29, Local-gov,188909, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,42, United-States, <=50K\n28, Private,213081, 11th,7, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, Jamaica, <=50K\n18, Self-emp-not-inc,157131, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n49, Private,98010, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n46, Private,207677, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n58, ?,361870, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,30, United-States, <=50K\n56, Private,266091, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Mexico, <=50K\n41, Private,106627, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,50, United-States, <=50K\n50, Self-emp-inc,167793, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,60, United-States, >50K\n74, Self-emp-not-inc,206682, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1648,35, United-States, <=50K\n30, Private,243165, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,201928, HS-grad,9, Widowed, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n19, Private,128346, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,197288, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n20, ?,169184, Some-college,10, Never-married, ?, Other-relative, Black, Female,0,0,40, United-States, <=50K\n36, Private,245521, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, Mexico, <=50K\n36, Private,129591, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,47415, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1628,30, United-States, <=50K\n37, Self-emp-not-inc,188563, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,50, United-States, >50K\n29, Self-emp-not-inc,184710, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,63734, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n18, Private,111256, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n40, Self-emp-inc,111483, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Self-emp-inc,266639, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,93853, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n32, Private,184207, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,238002, 9th,5, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0,0,40, Mexico, <=50K\n28, ?,30237, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,196545, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1902,40, United-States, >50K\n47, Private,144844, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,280500, Some-college,10, Never-married, Tech-support, Own-child, Black, Female,0,0,40, United-States, <=50K\n73, ?,135601, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K\n37, Private,409189, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, Mexico, <=50K\n50, Private,23686, Some-college,10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, >50K\n19, Private,229756, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K\n32, Local-gov,95530, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n44, Local-gov,73199, Assoc-voc,11, Divorced, Tech-support, Unmarried, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n20, Private,196745, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n29, Private,79481, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, ?,116934, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,100950, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, Germany, <=50K\n44, Local-gov,56651, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, <=50K\n18, Private,186954, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n22, Private,264874, Some-college,10, Never-married, Tech-support, Other-relative, White, Female,0,0,40, United-States, <=50K\n39, State-gov,183092, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n26, Local-gov,273399, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, Peru, <=50K\n29, ?,142443, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n21, Private,177526, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Local-gov,31267, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,321666, Assoc-acdm,12, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K\n26, Private,331861, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, ?, <=50K\n25, Private,283515, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, <=50K\n30, Private,54608, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,162238, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n30, Private,175931, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,236804, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,168782, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,227065, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n46, Self-emp-inc,285335, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n31, Private,259705, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Female,0,0,40, United-States, <=50K\n57, Private,24384, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K\n58, Private,322013, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,49797, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,52566, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,266275, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n72, Self-emp-not-inc,285408, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2246,28, United-States, >50K\n26, Self-emp-not-inc,177858, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,1876,38, United-States, <=50K\n45, Federal-gov,183804, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Private,107231, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n23, Private,173679, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Local-gov,163965, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n18, Private,173585, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, Peru, <=50K\n27, Private,172009, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,44363, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,35, United-States, <=50K\n45, Private,246392, HS-grad,9, Never-married, Priv-house-serv, Unmarried, Black, Female,0,0,30, United-States, <=50K\n53, Private,167033, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n54, Private,143822, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n41, Private,37869, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n23, Private,447488, 9th,5, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,35, Mexico, <=50K\n17, Private,239346, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K\n42, Private,245975, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,34632, 12th,8, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,121362, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,2258,38, United-States, >50K\n21, State-gov,24008, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n44, Private,165492, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,326048, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Male,0,0,44, United-States, <=50K\n46, Private,250821, Prof-school,15, Divorced, Farming-fishing, Unmarried, White, Male,0,0,48, United-States, <=50K\n37, Self-emp-not-inc,154641, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,86, United-States, <=50K\n35, Private,198202, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,54, United-States, <=50K\n27, Local-gov,170504, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,191342, Some-college,10, Never-married, Sales, Not-in-family, Other, Male,0,0,40, India, <=50K\n19, Private,238969, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K\n63, Self-emp-not-inc,344128, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n69, ?,148694, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n69, ?,180187, Assoc-acdm,12, Widowed, ?, Not-in-family, White, Female,0,0,6, Italy, <=50K\n36, State-gov,168894, Assoc-voc,11, Married-spouse-absent, Protective-serv, Own-child, White, Female,0,0,40, Germany, <=50K\n20, Private,203263, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n28, State-gov,89564, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K\n58, Private,97562, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,38, United-States, <=50K\n48, Private,336540, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,139647, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,56, United-States, <=50K\n38, Private,160192, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,44, United-States, <=50K\n50, Local-gov,320386, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,32126, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,275445, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K\n38, Self-emp-inc,54953, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K\n54, Private,103580, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, >50K\n42, Private,245565, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,12, England, <=50K\n32, Private,39223, 10th,6, Separated, Craft-repair, Unmarried, Black, Female,0,0,40, ?, <=50K\n55, State-gov,117357, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,70, ?, >50K\n63, Private,207385, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n21, Private,355287, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,48, Mexico, <=50K\n62, ?,141218, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K\n46, Local-gov,207677, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,102114, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,60269, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n37, Private,278632, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,355551, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,0,0,45, Mexico, <=50K\n45, Private,246891, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,72, Canada, >50K\n19, Private,124486, 12th,8, Never-married, Other-service, Own-child, White, Male,0,1602,20, United-States, <=50K\n61, ?,202106, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,1902,40, United-States, >50K\n61, Private,191417, 9th,5, Widowed, Exec-managerial, Not-in-family, Black, Male,0,0,65, United-States, <=50K\n21, Private,184543, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,122206, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,229015, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,130067, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n40, Local-gov,306495, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n32, Private,232855, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n55, Local-gov,171328, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n64, Private,144182, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,23, United-States, <=50K\n34, Private,102858, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n19, ?,199495, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K\n58, Private,209438, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,74895, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,55, United-States, <=50K\n44, Private,184378, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,446512, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Federal-gov,113688, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n39, Private,333305, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,45, United-States, >50K\n19, Private,118535, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,18, United-States, <=50K\n56, Private,76142, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n53, Local-gov,38795, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n68, Private,208478, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,18, ?, <=50K\n69, Private,203313, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,991,0,18, United-States, <=50K\n62, Private,247483, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n62, State-gov,198686, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,56118, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Federal-gov,359808, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,231554, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,50, United-States, <=50K\n33, Private,34848, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,199934, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,7298,0,40, United-States, >50K\n29, Private,196243, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Self-emp-inc,66360, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,6418,0,35, United-States, >50K\n18, Private,189487, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n22, Private,194848, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,167309, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,40, United-States, >50K\n44, Private,192878, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,70209, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K\n52, Federal-gov,123011, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n53, Self-emp-not-inc,135339, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7688,0,20, China, >50K\n48, Federal-gov,497486, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,1471,0,40, United-States, <=50K\n25, Private,178478, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Private,149909, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n37, Private,103323, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, Private,239404, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,45, United-States, <=50K\n67, Private,165082, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n36, Private,389725, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n47, Private,374580, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,52, United-States, <=50K\n36, ?,187983, HS-grad,9, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,259300, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,16, United-States, <=50K\n19, Private,277695, 9th,5, Never-married, Farming-fishing, Other-relative, White, Male,0,0,16, Mexico, <=50K\n24, Private,230248, 7th-8th,4, Separated, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,196342, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K\n17, Private,160968, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,16, United-States, <=50K\n28, Private,115438, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,231043, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,3908,0,45, United-States, <=50K\n35, Private,129597, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,46, United-States, <=50K\n24, Local-gov,387108, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K\n43, Private,105936, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K\n20, Private,107242, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, ?, <=50K\n55, Private,125000, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K\n22, Private,229456, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,35, United-States, <=50K\n20, Private,230113, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K\n44, Private,106698, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,133454, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,295520, 9th,5, Widowed, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K\n26, Private,151551, Some-college,10, Separated, Sales, Own-child, Amer-Indian-Eskimo, Male,2597,0,48, United-States, <=50K\n58, Private,100313, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,40, United-States, >50K\n23, Private,320294, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,162381, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,183898, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,2354,0,40, United-States, <=50K\n41, Self-emp-inc,32016, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,62, United-States, <=50K\n31, Private,117028, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,280278, HS-grad,9, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n57, Private,342906, 9th,5, Married-civ-spouse, Sales, Husband, Black, Male,0,0,55, United-States, >50K\n25, Private,181598, 11th,7, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,224059, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,148549, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n34, Private,97355, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n37, Private,154571, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n43, Self-emp-inc,140988, Bachelors,13, Married-civ-spouse, Sales, Other-relative, Asian-Pac-Islander, Male,0,0,45, India, <=50K\n20, Private,148409, Some-college,10, Never-married, Sales, Other-relative, White, Male,1055,0,20, United-States, <=50K\n40, Local-gov,150755, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,75, United-States, >50K\n27, Private,87006, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1579,40, United-States, <=50K\n35, Private,112158, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,121488, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, State-gov,283635, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,69758, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n40, Private,199900, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,55, United-States, >50K\n54, Private,88019, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K\n28, Private,31935, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Private,323055, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,189498, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,89041, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,112507, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n19, Private,236940, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,278514, HS-grad,9, Divorced, Craft-repair, Own-child, White, Female,0,0,42, United-States, <=50K\n21, ?,433330, Some-college,10, Never-married, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n25, Private,258379, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,32, United-States, <=50K\n44, Private,162028, 11th,7, Divorced, Sales, Unmarried, White, Female,0,0,44, United-States, <=50K\n20, Private,197997, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,98350, 10th,6, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,37, China, <=50K\n39, Private,165848, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,178615, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,228939, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n27, Private,210498, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n53, Private,154891, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,165937, Assoc-voc,11, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n23, ?,138768, Bachelors,13, Never-married, ?, Own-child, White, Male,2907,0,40, United-States, <=50K\n39, Private,160120, Some-college,10, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n30, Private,382368, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,123011, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n33, Private,119033, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,496856, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n44, Private,194049, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K\n30, Private,299223, Some-college,10, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n66, Private,174788, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n39, Private,176101, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,38948, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,271933, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, United-States, <=50K\n17, Private,122041, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n43, Private,115932, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K\n46, Private,265105, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,100828, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n60, Private,121319, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,40, Poland, <=50K\n63, Private,308028, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,5013,0,40, United-States, <=50K\n42, Private,213214, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,348618, 9th,5, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K\n33, Private,275632, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,239161, Some-college,10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n20, Private,215495, 9th,5, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, Mexico, <=50K\n30, Private,214063, Some-college,10, Never-married, Farming-fishing, Other-relative, Black, Male,0,0,72, United-States, <=50K\n37, Private,122493, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n33, ?,211699, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,175622, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n65, Private,153522, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,17, United-States, <=50K\n35, Private,258339, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n27, Private,119793, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,133503, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1977,45, United-States, >50K\n18, Private,162840, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Local-gov,67671, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,188888, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1340,40, United-States, <=50K\n45, Private,140644, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,126154, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,245659, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,38, El-Salvador, <=50K\n28, Private,129624, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, ?, <=50K\n47, Private,104068, HS-grad,9, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n30, Private,337908, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,20, United-States, <=50K\n36, Private,161141, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,162228, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n44, Private,116391, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,314310, HS-grad,9, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K\n61, ?,394534, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,6, United-States, <=50K\n29, Private,308136, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,194698, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n18, ?,67793, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,60, United-States, <=50K\n29, Local-gov,302422, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,1564,56, United-States, >50K\n27, Private,289147, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,229826, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,20, United-States, <=50K\n22, ?,154235, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,3781,0,35, United-States, <=50K\n49, Self-emp-inc,246739, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n35, Private,188041, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n47, Private,187440, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n37, Local-gov,105266, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,249208, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K\n26, Private,203492, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, ?,71076, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Federal-gov,146477, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n47, Private,201699, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,5178,0,50, United-States, >50K\n59, Private,205949, HS-grad,9, Separated, Craft-repair, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n70, Private,90245, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,5, United-States, <=50K\n53, Federal-gov,177647, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, France, >50K\n39, Private,126494, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,257735, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,1161363, Some-college,10, Separated, Tech-support, Unmarried, White, Female,0,0,50, Columbia, <=50K\n19, ?,257343, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,221452, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n74, Private,260669, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,1, United-States, <=50K\n40, Private,192344, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,80479, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,108808, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n41, Private,175674, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,272950, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Self-emp-not-inc,160786, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K\n46, Self-emp-not-inc,122206, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,121168, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,209547, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n29, Federal-gov,244473, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n39, Private,176296, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,60, United-States, <=50K\n31, Private,91666, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,60, United-States, <=50K\n50, Local-gov,191025, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,4650,0,70, United-States, <=50K\n31, State-gov,63704, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,31659, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n27, Private,191230, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,25, United-States, <=50K\n28, Private,56340, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n21, Private,221157, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,30, United-States, <=50K\n57, Local-gov,143910, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Local-gov,435836, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, ?,61499, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,209182, Preschool,1, Separated, Other-service, Unmarried, White, Female,0,0,40, El-Salvador, <=50K\n36, Self-emp-inc,107218, Some-college,10, Divorced, Sales, Unmarried, Asian-Pac-Islander, Male,0,0,55, United-States, <=50K\n51, Private,55500, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,357962, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, <=50K\n43, Private,200355, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K\n38, Private,320451, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n51, Local-gov,184542, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n43, State-gov,206927, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,54310, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n35, Private,208165, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n40, Private,146908, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n39, Private,318416, 10th,6, Separated, Other-service, Own-child, Black, Female,0,0,12, United-States, <=50K\n47, Self-emp-inc,207540, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n23, Private,69911, Preschool,1, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n26, Private,305304, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n25, Local-gov,295289, HS-grad,9, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n29, Private,275110, Some-college,10, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,42, United-States, <=50K\n30, Private,339773, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n57, State-gov,399246, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,1485,40, China, <=50K\n37, Self-emp-inc,51264, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,49020, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,3103,0,48, United-States, >50K\n37, Private,178100, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n45, ?,215943, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,176178, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K\n25, State-gov,180884, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n61, State-gov,130466, HS-grad,9, Widowed, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n59, Private,328525, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,2414,0,15, United-States, <=50K\n28, Private,142712, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,176321, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Private,145041, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Cuba, >50K\n29, Private,95423, HS-grad,9, Married-AF-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, <=50K\n49, Self-emp-not-inc,215096, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n41, Local-gov,177599, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K\n33, Private,123920, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n20, ?,201490, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,46990, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,20, United-States, >50K\n32, Private,388672, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,16, United-States, <=50K\n48, Private,149210, Bachelors,13, Divorced, Sales, Not-in-family, Black, Male,0,0,40, United-States, >50K\n24, Private,134787, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,185407, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, >50K\n31, State-gov,86143, HS-grad,9, Never-married, Protective-serv, Other-relative, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n23, Private,41721, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n35, Private,195744, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,96062, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,215150, 9th,5, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n52, Private,270728, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,48, Cuba, <=50K\n44, Private,75012, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K\n43, Private,206139, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n39, Private,50700, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,224258, 7th-8th,4, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Mexico, >50K\n31, Private,240441, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,1564,40, United-States, >50K\n40, Self-emp-not-inc,406811, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n28, Local-gov,34452, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,361341, 12th,8, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,25, Thailand, <=50K\n35, Private,78247, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n44, Private,106900, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n40, Self-emp-not-inc,165108, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, England, <=50K\n20, Private,406641, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n55, Private,171467, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Male,0,0,48, United-States, >50K\n30, Private,341187, 7th-8th,4, Separated, Transport-moving, Not-in-family, White, Male,0,0,35, United-States, <=50K\n38, Private,119177, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n75, Private,104896, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,2653,0,20, United-States, <=50K\n17, Private,342752, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n79, ?,76641, Masters,14, Married-civ-spouse, ?, Husband, White, Male,20051,0,40, Poland, >50K\n20, Private,47541, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n25, Private,233461, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,30, United-States, <=50K\n27, Private,303954, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n19, Private,163015, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n21, Private,75763, Some-college,10, Married-civ-spouse, Sales, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n19, Private,43003, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n42, Private,328239, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,130856, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K\n47, Self-emp-not-inc,190072, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Iran, >50K\n59, Private,170148, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n50, Private,104501, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n48, Self-emp-inc,213140, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K\n33, Local-gov,175509, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,173611, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,148995, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,99999,0,30, United-States, >50K\n24, Private,64520, 7th-8th,4, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,139822, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n24, Private,258700, 5th-6th,3, Never-married, Farming-fishing, Other-relative, Black, Male,0,0,40, Mexico, <=50K\n29, Private,34796, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,124963, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K\n24, Private,65743, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n28, Private,161087, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,45, Jamaica, <=50K\n63, ?,424591, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n36, Federal-gov,203836, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n58, State-gov,110199, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,316059, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,36, United-States, <=50K\n42, Private,255667, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n39, Private,193689, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,60722, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n39, Private,187847, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,233275, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n51, Private,215404, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,15024,0,40, United-States, >50K\n45, Private,201865, Bachelors,13, Married-spouse-absent, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n45, Private,118889, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, State-gov,368739, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,123833, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,1408,40, United-States, <=50K\n38, Private,171344, 11th,7, Married-spouse-absent, Transport-moving, Own-child, White, Male,0,0,36, Mexico, <=50K\n39, Private,153976, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,374883, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n17, Private,167658, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,6, United-States, <=50K\n31, Private,348504, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n22, Private,258509, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,24, United-States, <=50K\n47, State-gov,108890, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,1831,0,38, United-States, <=50K\n28, Private,188236, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, ?,355571, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n41, Private,425049, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n29, Private,142555, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,42, United-States, <=50K\n42, Self-emp-not-inc,29320, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,0,0,60, United-States, >50K\n52, Federal-gov,207841, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,187329, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,270973, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Private,197332, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,46, United-States, >50K\n21, ?,175166, Some-college,10, Never-married, ?, Own-child, White, Female,2176,0,40, United-States, <=50K\n45, Local-gov,160187, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n21, Private,197918, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n74, Private,192290, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,20, United-States, <=50K\n29, Private,241895, HS-grad,9, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,164515, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,147206, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,45, United-States, >50K\n23, Self-emp-inc,306868, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Local-gov,169837, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n61, ?,124648, 10th,6, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,185057, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, >50K\n23, Private,240049, Preschool,1, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Laos, <=50K\n18, Private,164441, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K\n38, Private,179314, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,319854, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,4650,0,35, United-States, <=50K\n19, Self-emp-inc,148955, Some-college,10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,35, South, <=50K\n23, Private,32950, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,4101,0,40, United-States, <=50K\n37, Private,206699, HS-grad,9, Divorced, Tech-support, Own-child, White, Male,0,0,45, United-States, <=50K\n25, Private,385646, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,31438, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,43, ?, <=50K\n45, Private,168598, 12th,8, Married-civ-spouse, Adm-clerical, Wife, Black, Female,3103,0,40, United-States, >50K\n32, Private,97306, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,48, United-States, <=50K\n65, ?,106910, 11th,7, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K\n18, Self-emp-not-inc,29582, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,220284, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, Mexico, <=50K\n29, Private,110226, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,65, ?, <=50K\n53, Private,240914, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,115496, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n27, Private,105817, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n24, State-gov,330836, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,36327, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,33423, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n45, Private,75673, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n36, Private,185744, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, >50K\n36, Private,186035, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n44, Local-gov,196456, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1669,40, United-States, <=50K\n24, Private,111450, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K\n39, Private,115289, Some-college,10, Divorced, Sales, Own-child, White, Male,0,1380,70, United-States, <=50K\n50, Private,74879, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,117312, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,40, United-States, >50K\n58, Private,272902, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Self-emp-inc,220230, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,48, United-States, <=50K\n24, Private,90934, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,55, United-States, <=50K\n52, Self-emp-inc,234286, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n46, Private,364548, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,8614,0,40, United-States, >50K\n50, Self-emp-inc,283676, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K\n34, Private,195602, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n40, Private,70761, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n53, Private,142717, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,124242, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n58, ?,53481, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,70, United-States, <=50K\n26, Private,287797, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n22, Private,188274, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,171968, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n78, ?,74795, Assoc-acdm,12, Widowed, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K\n36, Private,218490, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Germany, >50K\n43, Local-gov,94937, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,28, United-States, <=50K\n60, Private,109511, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n49, Local-gov,269527, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n50, Self-emp-inc,201689, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,63, ?, >50K\n34, Self-emp-not-inc,120672, 7th-8th,4, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,10, United-States, <=50K\n46, Private,130779, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,441542, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n69, Private,114801, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n32, Private,180284, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Local-gov,27444, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n61, Private,180382, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3411,0,45, United-States, <=50K\n56, Private,143266, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,139268, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,126208, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n37, Private,186191, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,46, United-States, <=50K\n51, Private,197163, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,2559,50, United-States, >50K\n44, State-gov,193524, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K\n33, Private,181388, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,124963, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,80, United-States, >50K\n24, Private,188925, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,149230, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n40, Private,388725, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,113543, Masters,14, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n61, ?,187636, Bachelors,13, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n56, Self-emp-inc,267763, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, <=50K\n69, Federal-gov,143849, 11th,7, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n41, Self-emp-not-inc,97277, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,10, United-States, <=50K\n40, Private,199303, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,124852, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n26, Private,50053, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n53, Private,97005, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, >50K\n90, ?,175444, 7th-8th,4, Separated, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K\n39, Private,337898, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K\n51, Federal-gov,124076, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Federal-gov,277420, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Puerto-Rico, >50K\n51, Private,280278, 10th,6, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n17, Private,241185, 12th,8, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n42, Private,202188, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,1741,50, United-States, <=50K\n42, Private,198422, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n29, Private,82242, Prof-school,15, Never-married, Prof-specialty, Unmarried, White, Male,27828,0,45, Germany, >50K\n33, Private,178429, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,185866, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, ?, >50K\n43, Private,212847, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n64, Self-emp-not-inc,219661, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,9, United-States, >50K\n40, Private,321856, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, >50K\n21, Private,313873, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n31, Private,144064, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n60, Private,139586, Assoc-voc,11, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, >50K\n32, Private,419691, 12th,8, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n66, ?,212759, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,6767,0,20, United-States, <=50K\n27, Private,195562, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,20, United-States, <=50K\n40, Private,205706, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n27, Private,131310, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K\n18, Private,54440, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n43, Private,200734, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n52, Private,81859, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K\n31, Private,159589, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,85, United-States, <=50K\n28, Private,300915, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n44, Private,185057, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n37, Self-emp-not-inc,42044, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K\n35, Private,166416, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n42, Private,212737, 9th,5, Separated, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n18, Private,236069, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,10, United-States, <=50K\n46, Self-emp-inc,216414, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,1977,60, United-States, >50K\n54, Federal-gov,27432, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,145419, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1672,50, United-States, <=50K\n56, Private,147202, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, Germany, <=50K\n27, Private,29261, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K\n26, Private,359543, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K\n41, Local-gov,227644, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,90021, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, ?, <=50K\n32, Private,188154, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, Private,110142, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n36, Private,186415, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,65, United-States, <=50K\n37, Private,175720, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,172865, 5th-6th,3, Never-married, Farming-fishing, Own-child, White, Male,0,0,25, Mexico, <=50K\n46, Private,35969, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,51, United-States, <=50K\n24, Private,433330, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Self-emp-inc,160261, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,35, Taiwan, <=50K\n55, Private,189528, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n64, Local-gov,113324, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Local-gov,118500, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, Private,89681, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,99, United-States, <=50K\n46, Federal-gov,199925, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,102308, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n18, Private,444607, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n32, Private,176998, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n38, ?,94559, Bachelors,13, Married-civ-spouse, ?, Wife, Other, Female,7688,0,50, ?, >50K\n34, State-gov,366198, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Germany, >50K\n35, Private,180686, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,40, United-States, <=50K\n26, Private,108019, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,3325,0,40, United-States, <=50K\n24, Private,153542, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,35, United-States, <=50K\n45, Self-emp-not-inc,210364, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,80, United-States, >50K\n36, Private,185394, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,34, United-States, <=50K\n44, Private,222703, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Nicaragua, <=50K\n23, Private,183945, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n57, Private,161964, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n41, Self-emp-not-inc,375574, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Mexico, >50K\n20, Local-gov,312427, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,30, Puerto-Rico, <=50K\n32, Private,53373, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K\n60, Private,166330, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,99999,0,40, United-States, >50K\n38, Self-emp-inc,124665, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Female,0,0,20, United-States, <=50K\n29, Private,146719, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,0,0,45, United-States, <=50K\n22, Private,306593, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,156687, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,30, India, <=50K\n40, Local-gov,153489, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Male,3137,0,40, United-States, <=50K\n59, Private,231377, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,45, United-States, >50K\n45, State-gov,127089, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n76, Local-gov,329355, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,13, United-States, <=50K\n45, Private,178319, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n49, Local-gov,304246, Masters,14, Separated, Prof-specialty, Unmarried, White, Female,0,0,70, United-States, <=50K\n36, Local-gov,174640, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, Black, Female,0,0,60, United-States, >50K\n22, Private,148294, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n47, Private,298037, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,44, United-States, <=50K\n26, Private,98155, HS-grad,9, Married-AF-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n21, Private,102766, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,78529, HS-grad,9, Never-married, Transport-moving, Own-child, White, Female,0,0,15, United-States, <=50K\n26, Private,136309, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,275357, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,25, United-States, <=50K\n31, Self-emp-not-inc,33117, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, England, <=50K\n57, Local-gov,199546, Masters,14, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n39, Private,184128, 11th,7, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n36, Private,337039, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, Black, Male,14344,0,40, England, >50K\n66, Private,126511, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n34, Local-gov,325792, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n80, ?,91901, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n21, Private,119474, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n40, Private,153238, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,32, United-States, >50K\n49, Local-gov,321851, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n48, Self-emp-not-inc,108557, Some-college,10, Divorced, Sales, Not-in-family, White, Female,3325,0,60, United-States, <=50K\n19, State-gov,67217, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,594,0,24, United-States, <=50K\n42, Private,195508, 11th,7, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n59, Private,102193, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n63, Private,20323, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,122206, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n41, Private,200652, 9th,5, Divorced, Other-service, Other-relative, White, Female,0,0,35, United-States, <=50K\n42, Private,173590, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1628,40, United-States, <=50K\n19, Private,184121, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n45, Local-gov,53123, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, <=50K\n47, Private,175990, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, >50K\n47, Private,316101, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,34080, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, England, <=50K\n49, Self-emp-not-inc,219718, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n36, Private,126954, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,99185, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, >50K\n21, ?,40052, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,2001,45, United-States, <=50K\n39, Private,120074, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,77336, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,60981, Some-college,10, Never-married, Sales, Own-child, White, Female,2176,0,35, United-States, <=50K\n59, Private,77884, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n50, Private,65408, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,173279, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n52, ?,318351, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K\n41, Self-emp-not-inc,157686, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,277434, Assoc-acdm,12, Widowed, Tech-support, Unmarried, White, Male,0,0,40, United-States, >50K\n54, Local-gov,184620, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,34443, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,25, United-States, <=50K\n50, Private,268553, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,40, United-States, >50K\n20, ?,41356, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Female,0,0,32, United-States, <=50K\n43, Private,459342, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Local-gov,148549, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,254293, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,2174,0,45, United-States, <=50K\n54, Private,104501, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n26, Private,238367, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,180439, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n51, Self-emp-inc,100029, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n54, Private,215990, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,44, United-States, >50K\n32, State-gov,111567, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,49, United-States, >50K\n46, Private,319163, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n60, ?,160155, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,12, United-States, <=50K\n52, Local-gov,378045, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n44, Private,177083, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Self-emp-inc,119891, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,40, United-States, <=50K\n57, Private,127779, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,299353, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n30, Private,63861, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,112403, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,35, United-States, <=50K\n49, Private,83610, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,66, United-States, >50K\n28, Private,452808, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,176871, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n45, Private,100651, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,1980,40, United-States, <=50K\n17, Private,266134, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n54, Local-gov,196307, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,87891, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,182314, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n55, ?,136819, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,181666, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,40, ?, <=50K\n37, Private,179671, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,27494, HS-grad,9, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,48, United-States, >50K\n38, Private,338320, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Canada, <=50K\n51, Private,199688, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n41, Private,96635, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,60, United-States, <=50K\n24, Private,165064, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-inc,109856, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n33, Private,82393, HS-grad,9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n31, Private,209538, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,209891, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n32, Self-emp-not-inc,56026, Bachelors,13, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,45, United-States, <=50K\n35, Private,210844, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n43, Private,117158, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n40, Private,193144, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K\n19, Self-emp-not-inc,137578, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,53, United-States, <=50K\n23, Private,234108, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,32, United-States, <=50K\n40, Private,155767, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n59, Private,110820, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, >50K\n43, Private,403276, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,147269, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, ?, <=50K\n53, Private,123092, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,165673, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n68, Self-emp-inc,182131, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,10605,0,20, United-States, >50K\n41, Private,204415, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K\n32, Self-emp-not-inc,92531, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n25, State-gov,157028, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,228649, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,147253, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,15, United-States, <=50K\n33, Private,160784, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Local-gov,163189, Some-college,10, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n29, Private,146343, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K\n20, Private,225811, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,23, United-States, <=50K\n68, State-gov,202699, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2377,42, ?, >50K\n58, Private,374108, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,93930, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,412248, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n30, Private,427474, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n67, State-gov,160158, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,8, United-States, <=50K\n26, Private,159603, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K\n53, Self-emp-not-inc,101017, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n27, Local-gov,163862, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n29, Without-pay,212588, Some-college,10, Married-civ-spouse, Farming-fishing, Own-child, White, Male,0,0,65, United-States, <=50K\n38, State-gov,321943, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,317702, 9th,5, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n48, Private,287480, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,135607, Some-college,10, Widowed, Other-service, Unmarried, Black, Female,0,0,40, ?, <=50K\n28, Private,168514, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n18, Private,88642, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n28, Private,227104, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n34, Private,157289, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,213321, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,294907, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n30, Private,251411, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n20, Private,183594, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,189565, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,2174,0,50, United-States, <=50K\n55, Private,217802, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,25, United-States, <=50K\n20, Private,388156, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,24, United-States, <=50K\n54, Private,447555, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,204098, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n43, Private,193882, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,55, United-States, <=50K\n17, ?,89870, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n48, State-gov,49595, Masters,14, Divorced, Protective-serv, Not-in-family, White, Male,0,0,72, United-States, <=50K\n34, Private,228873, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n66, ?,108185, 9th,5, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Private,176027, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, ?,405374, Some-college,10, Separated, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n37, Private,39606, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n56, Private,178353, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n58, Private,160662, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n54, Self-emp-inc,196328, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, Jamaica, <=50K\n45, Private,20534, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,41, United-States, <=50K\n29, Self-emp-inc,156815, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,360252, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n43, Private,245056, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n33, Local-gov,422718, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,118081, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,3103,0,42, United-States, <=50K\n25, Private,262978, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n25, Private,187577, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n69, ?,259323, Prof-school,15, Divorced, ?, Not-in-family, White, Male,0,0,5, United-States, <=50K\n37, Private,160920, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,194247, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K\n39, Private,134367, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,24, United-States, >50K\n17, Private,123335, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n27, Local-gov,332249, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,358124, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K\n55, Private,208019, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n39, Private,318452, 11th,7, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n41, Private,207779, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,238376, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n51, Private,673764, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n67, State-gov,239705, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,12, ?, <=50K\n40, Private,133974, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n58, Private,138285, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n23, Private,152140, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Local-gov,287920, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n51, Private,289572, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n43, State-gov,78765, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n25, State-gov,99076, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,2597,0,50, United-States, <=50K\n36, Self-emp-not-inc,224886, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,2407,0,40, United-States, <=50K\n58, Private,206532, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,129529, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Local-gov,202473, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,162312, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n45, Private,72844, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,46, United-States, <=50K\n49, Private,206947, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,64112, 12th,8, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, State-gov,20057, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,38, Philippines, <=50K\n42, State-gov,222884, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,132683, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,50, United-States, <=50K\n73, ?,177773, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K\n59, Self-emp-not-inc,144071, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,2580,0,15, El-Salvador, <=50K\n28, Private,148429, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2885,0,40, United-States, <=50K\n19, Private,168601, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K\n31, State-gov,78291, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Federal-gov,243929, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K\n21, Private,215039, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,13, ?, <=50K\n47, Self-emp-not-inc,185673, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n30, Private,121142, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K\n41, Private,173858, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n59, ?,87247, 10th,6, Divorced, ?, Not-in-family, White, Female,0,0,40, England, <=50K\n43, Private,334991, Some-college,10, Separated, Transport-moving, Unmarried, White, Male,4934,0,51, United-States, >50K\n48, Private,93476, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,2001,40, United-States, <=50K\n44, Private,174283, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n44, Private,128676, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n24, Private,205844, Bachelors,13, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K\n28, Private,62535, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K\n50, Private,240612, HS-grad,9, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,10, United-States, <=50K\n33, Private,176992, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Local-gov,254127, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Female,0,0,50, United-States, <=50K\n30, ?,138744, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,128460, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n21, State-gov,56582, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,10, United-States, <=50K\n52, Private,153751, 9th,5, Separated, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n26, Private,284343, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n27, State-gov,312692, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,12, United-States, <=50K\n28, Private,111520, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Nicaragua, <=50K\n50, Self-emp-inc,304955, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n28, Private,288598, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n61, Self-emp-not-inc,117387, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n32, Private,230484, 7th-8th,4, Separated, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n30, Federal-gov,319280, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,186416, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Local-gov,147372, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,2444,40, United-States, >50K\n36, Private,145933, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,2258,70, United-States, <=50K\n28, Private,110164, Some-college,10, Divorced, Other-service, Other-relative, Black, Male,0,0,24, United-States, <=50K\n49, Private,225454, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n61, Self-emp-not-inc,220342, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n41, Self-emp-not-inc,144002, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n55, Private,225365, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n36, Private,187983, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n21, Private,89991, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,225913, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n49, Self-emp-inc,229737, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,37, United-States, >50K\n59, Private,145574, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,274363, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,80, United-States, >50K\n59, Private,365390, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,266467, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n42, Private,183384, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n41, Local-gov,112797, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K\n45, Federal-gov,76008, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n36, Private,156780, HS-grad,9, Never-married, Sales, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K\n42, Local-gov,186909, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K\n25, Private,25497, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,102771, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K\n58, Self-emp-not-inc,248841, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n39, Private,30916, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,123270, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n22, Self-emp-not-inc,210165, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,222596, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,0,0,50, United-States, >50K\n53, Self-emp-inc,188067, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,119592, Assoc-acdm,12, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,2824,40, ?, >50K\n27, Private,250314, 9th,5, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Guatemala, <=50K\n60, Private,205934, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n46, Private,186172, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K\n56, Self-emp-inc,98418, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K\n36, Private,329980, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,27828,0,40, United-States, >50K\n56, Private,147653, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K\n35, ?,195946, Some-college,10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n29, Self-emp-inc,168221, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1740,70, United-States, <=50K\n19, Private,151801, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,39, United-States, <=50K\n38, Private,177154, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n40, Federal-gov,73883, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,175714, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n22, Private,43535, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n32, State-gov,104509, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n27, Private,118230, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,152046, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, Guatemala, <=50K\n36, Private,52327, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,40, Iran, >50K\n22, Private,218886, 12th,8, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,84119, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n37, Private,189674, Bachelors,13, Separated, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n22, Private,222993, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,54, United-States, <=50K\n29, Private,47429, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n42, Private,144995, Preschool,1, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,25, United-States, <=50K\n45, Private,187969, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K\n33, Private,288398, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n39, Private,114591, Some-college,10, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,167737, 12th,8, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n53, Local-gov,248834, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n30, Private,165686, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, Self-emp-not-inc,40200, Some-college,10, Widowed, Craft-repair, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n43, Self-emp-inc,117158, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K\n47, Local-gov,216657, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, >50K\n61, Private,124242, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, India, <=50K\n39, Local-gov,239119, Masters,14, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, Dominican-Republic, <=50K\n47, Private,190072, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K\n19, Private,378114, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K\n37, Private,236990, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464,0,40, United-States, <=50K\n31, Private,101761, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,51, United-States, <=50K\n69, Self-emp-not-inc,37745, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,8, United-States, <=50K\n22, ?,424494, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n29, Private,130438, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,100605, Some-college,10, Never-married, Machine-op-inspct, Own-child, Other, Male,0,0,14, United-States, <=50K\n42, Private,220776, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,40, Poland, <=50K\n30, Local-gov,154950, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K\n28, Private,192283, Masters,14, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,80, United-States, >50K\n27, Private,210765, Assoc-voc,11, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,147476, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n35, State-gov,193241, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1651,40, United-States, <=50K\n22, Private,109053, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,265618, HS-grad,9, Separated, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K\n38, Local-gov,172855, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,1887,40, United-States, >50K\n27, Private,68848, Bachelors,13, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n30, Private,229051, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,37, United-States, <=50K\n27, Private,106039, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Female,0,0,50, United-States, <=50K\n25, Private,112835, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, ?,205396, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K\n32, Private,283400, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n70, Private,195739, 10th,6, Widowed, Craft-repair, Unmarried, White, Male,0,0,45, United-States, <=50K\n50, Private,36480, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,303291, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K\n34, Private,293900, 11th,7, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male,0,0,55, United-States, <=50K\n57, Self-emp-not-inc,165922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,65738, Masters,14, Never-married, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K\n49, Private,175070, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,339814, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K\n26, Private,150132, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n31, Private,377374, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, Japan, <=50K\n60, Self-emp-not-inc,166153, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,110171, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n26, Private,94477, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,55, United-States, >50K\n27, Private,194243, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,106347, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n59, Private,214865, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n19, ?,185619, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n18, Private,96445, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n22, Private,102632, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n24, Private,209034, Assoc-acdm,12, Married-civ-spouse, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n53, State-gov,153486, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,144371, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,42, United-States, >50K\n24, Private,186213, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n60, Private,188236, 10th,6, Widowed, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,418405, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Federal-gov,125796, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n32, Private,183304, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, >50K\n34, Private,329587, 10th,6, Separated, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n35, Local-gov,182570, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,446654, 9th,5, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n34, Self-emp-not-inc,254304, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,4508,0,90, United-States, <=50K\n53, Local-gov,131258, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n23, Private,103632, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,241895, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,244945, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,20795, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n17, Private,347322, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n53, Local-gov,103995, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,1876,54, United-States, <=50K\n32, Private,53206, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n43, ?,387839, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,40, United-States, <=50K\n18, Private,57108, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,16, United-States, <=50K\n62, Private,177791, 10th,6, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Private,33794, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,249935, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K\n73, Self-emp-not-inc,241121, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n64, Private,98586, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n26, Private,181920, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n23, Private,434467, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K\n30, Private,113364, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Vietnam, <=50K\n51, Private,249706, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,95455, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K\n39, Private,209867, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,13550,0,45, United-States, >50K\n35, Self-emp-inc,79586, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K\n41, Private,289669, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,347166, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,4650,0,40, United-States, <=50K\n40, Private,53835, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n46, Local-gov,14878, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n31, Private,266126, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n41, Self-emp-inc,146659, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Honduras, <=50K\n42, Private,125280, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137,0,40, United-States, <=50K\n23, Private,173535, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n21, ?,77665, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K\n49, Private,280525, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n53, Private,479621, Assoc-voc,11, Divorced, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n38, Local-gov,194630, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,4787,0,43, United-States, >50K\n36, Private,247600, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, Taiwan, <=50K\n32, Private,258406, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,72, Mexico, <=50K\n20, Private,107746, 11th,7, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, Guatemala, <=50K\n17, ?,47407, 11th,7, Never-married, ?, Own-child, White, Male,0,0,10, United-States, <=50K\n22, Private,229987, Some-college,10, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Female,0,0,32, United-States, <=50K\n25, Private,312338, Assoc-voc,11, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n58, Private,225394, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, <=50K\n24, Private,373718, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K\n48, State-gov,120131, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,8614,0,40, United-States, >50K\n20, Private,472789, 1st-4th,2, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,30, El-Salvador, <=50K\n60, Self-emp-not-inc,27886, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,138352, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K\n52, Private,123011, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n36, Private,306567, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, >50K\n46, Local-gov,187749, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n22, Private,260594, 11th,7, Never-married, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K\n19, Private,236879, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,35, United-States, <=50K\n37, Private,186808, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n30, Private,373213, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, >50K\n44, Private,187629, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,25, United-States, <=50K\n63, ?,106648, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n22, Private,305781, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,45, Canada, <=50K\n31, Self-emp-inc,256362, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,3908,0,50, United-States, <=50K\n17, Private,239947, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,349041, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n67, Private,105252, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,182715, 7th-8th,4, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,166210, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n20, Private,113200, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,6, United-States, <=50K\n27, Private,142075, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K\n35, Private,454843, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,142219, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n36, Private,112512, 12th,8, Separated, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n43, Private,212894, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n62, State-gov,265201, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,251905, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,2339,40, Canada, <=50K\n18, Private,170627, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n59, Private,354037, Prof-school,15, Married-civ-spouse, Transport-moving, Husband, Black, Male,15024,0,50, United-States, >50K\n37, Private,259089, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,21856, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n46, Local-gov,207946, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, <=50K\n29, Private,77009, 11th,7, Separated, Sales, Not-in-family, White, Female,0,2754,42, United-States, <=50K\n33, Private,36539, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n62, Private,176811, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,456062, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,55, United-States, >50K\n28, Private,277746, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,288132, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n46, Federal-gov,344415, Masters,14, Married-civ-spouse, Armed-Forces, Husband, White, Male,0,1887,40, United-States, >50K\n54, Self-emp-inc,206964, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K\n34, Private,198091, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, United-States, <=50K\n67, ?,150264, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,20, Canada, >50K\n62, Private,588484, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, >50K\n30, Private,113364, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Poland, <=50K\n19, Private,270551, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n49, ?,31478, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,99, United-States, <=50K\n27, Private,190525, Assoc-voc,11, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,45, United-States, <=50K\n36, Private,153066, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,150393, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,99911, 12th,8, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n57, Local-gov,343447, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n64, Private,169482, Some-college,10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n56, ?,32855, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,194501, 11th,7, Widowed, Other-service, Own-child, White, Female,0,0,47, United-States, <=50K\n53, Private,177705, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K\n31, Private,123983, Some-college,10, Separated, Sales, Unmarried, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n41, Private,138975, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, United-States, >50K\n45, Local-gov,235431, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n63, ?,83043, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,2179,45, United-States, <=50K\n45, State-gov,130206, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n23, Private,210053, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K\n39, Local-gov,249392, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,72, United-States, <=50K\n31, Private,87418, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,190387, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n54, Private,176240, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,60, United-States, >50K\n22, ?,211013, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, Mexico, <=50K\n40, Local-gov,105862, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,5455,0,40, United-States, <=50K\n55, Self-emp-not-inc,185195, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,173495, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-inc,78634, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,147284, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,99, United-States, >50K\n46, Self-emp-not-inc,82572, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n38, Private,154641, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Local-gov,39236, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,594,0,25, United-States, <=50K\n17, ?,64785, 10th,6, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n48, Self-emp-not-inc,179337, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, England, <=50K\n73, Private,173047, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, <=50K\n25, Private,264012, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n53, Federal-gov,227836, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,321327, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,45, United-States, >50K\n45, Self-emp-inc,108100, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,99999,0,25, ?, >50K\n37, Private,146398, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n30, Private,324120, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,367329, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n29, State-gov,301582, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n75, ?,222789, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,6, United-States, <=50K\n58, Private,170108, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n42, Self-emp-not-inc,82297, 7th-8th,4, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,50, United-States, <=50K\n62, Local-gov,180162, 9th,5, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,24, United-States, <=50K\n45, Local-gov,348172, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,7298,0,40, United-States, >50K\n38, Private,809585, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n36, Self-emp-not-inc,67728, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n70, ?,163057, HS-grad,9, Widowed, ?, Not-in-family, White, Female,2009,0,40, United-States, <=50K\n42, Self-emp-not-inc,102069, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n47, Local-gov,149700, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,35, United-States, >50K\n42, Self-emp-not-inc,109273, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n43, Private,393354, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,38, United-States, >50K\n37, Private,226947, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n36, State-gov,86805, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,7298,0,39, United-States, >50K\n27, Private,493689, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, France, <=50K\n54, Private,299324, 5th-6th,3, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male,0,0,40, Mexico, <=50K\n48, Self-emp-not-inc,353012, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n29, Private,174419, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n29, Private,209472, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, <=50K\n37, Private,295127, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,47, United-States, <=50K\n55, Self-emp-inc,182273, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n67, Private,228200, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0,0,20, United-States, <=50K\n51, Private,263836, HS-grad,9, Widowed, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n35, Private,178948, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n41, Private,43945, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n64, Self-emp-not-inc,253296, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n23, Private,240137, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, Mexico, <=50K\n49, Private,24712, Bachelors,13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Philippines, <=50K\n38, Self-emp-not-inc,342635, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K\n62, Private,115387, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Female,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,182998, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K\n70, ?,133248, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,14, United-States, <=50K\n45, Self-emp-not-inc,246891, Masters,14, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,30035, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,175232, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n50, Self-emp-inc,140516, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,64980, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,55, United-States, >50K\n30, Private,155781, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n52, Federal-gov,192065, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,227890, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, >50K\n62, Self-emp-not-inc,162249, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n31, Private,165949, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Private,445382, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n34, Private,211948, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,1590,40, United-States, <=50K\n53, Private,163678, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,89413, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,289700, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K\n51, Private,163826, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,185385, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n43, Private,169031, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,54611, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,130620, 11th,7, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, India, <=50K\n26, Private,328663, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,40, United-States, <=50K\n50, Private,169646, Bachelors,13, Separated, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n35, Private,186815, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,103925, Some-college,10, Never-married, Tech-support, Other-relative, White, Female,0,0,40, United-States, <=50K\n53, ?,150393, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,1504,35, United-States, <=50K\n20, Private,82777, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,16, United-States, <=50K\n31, Local-gov,178449, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,51672, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n46, Private,380162, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, >50K\n21, Private,212114, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,8, United-States, <=50K\n41, Self-emp-not-inc,100800, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,70, United-States, >50K\n30, Private,162572, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,70, United-States, >50K\n66, Self-emp-inc,179951, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n37, Self-emp-inc,190759, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n74, State-gov,236012, 7th-8th,4, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,20, United-States, <=50K\n46, State-gov,164023, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,70, United-States, >50K\n51, Private,172046, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n33, Private,182926, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n30, Private,151001, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464,0,40, Mexico, <=50K\n47, Self-emp-inc,362835, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n49, Private,97883, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n53, Private,91911, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Female,0,0,48, United-States, <=50K\n24, Private,278130, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,146310, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,379412, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,37987, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n46, Self-emp-inc,256909, HS-grad,9, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,3325,0,45, United-States, <=50K\n37, State-gov,482927, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,65, United-States, <=50K\n48, State-gov,44434, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,61, United-States, >50K\n25, Private,255474, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, ?,303674, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,3103,0,20, United-States, <=50K\n44, ?,195488, 12th,8, Separated, ?, Not-in-family, White, Female,0,0,36, Puerto-Rico, <=50K\n58, ?,114362, Some-college,10, Married-civ-spouse, ?, Husband, Black, Male,0,0,30, United-States, <=50K\n27, Private,341504, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n69, Private,197080, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Male,0,0,8, United-States, <=50K\n38, Private,102945, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K\n47, Private,503454, 12th,8, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,87561, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n46, Private,270693, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,3674,0,30, United-States, <=50K\n27, Private,252813, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n19, Private,574271, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n18, Private,184016, HS-grad,9, Married-civ-spouse, Priv-house-serv, Not-in-family, White, Female,3103,0,40, United-States, <=50K\n24, Private,235071, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n32, Private,158242, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,299810, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n19, Private,277695, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, Hong, <=50K\n28, Private,23324, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,316582, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K\n38, Self-emp-not-inc,176657, Some-college,10, Separated, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,60, Japan, <=50K\n42, Private,93770, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K\n31, Private,124569, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n46, Private,117313, 9th,5, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Ireland, <=50K\n53, Private,53812, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,54, United-States, <=50K\n21, Private,170456, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n48, Self-emp-not-inc,115971, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,31432, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,3103,0,52, United-States, >50K\n30, Private,112383, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n24, Private,283092, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,40, Jamaica, <=50K\n32, Private,27207, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Private,46712, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, State-gov,19520, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n56, Private,98630, 7th-8th,4, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,159897, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,37, United-States, <=50K\n38, Private,136629, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Iran, <=50K\n19, Private,407759, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,221884, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n49, Private,148475, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,274964, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K\n50, Self-emp-inc,160107, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n43, Private,167265, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,84, United-States, >50K\n34, Private,148226, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,48, United-States, <=50K\n28, Private,153869, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,208881, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,256953, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,44, United-States, <=50K\n26, Private,100147, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K\n51, Local-gov,166461, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, >50K\n35, Private,171327, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,297335, Assoc-acdm,12, Married-spouse-absent, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,31, Laos, <=50K\n63, ?,133166, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,12, United-States, <=50K\n31, Private,169589, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n22, Local-gov,273734, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n67, Private,158301, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n50, ?,257117, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n63, Private,196725, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K\n31, Private,137444, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,286960, 11th,7, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,201435, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n53, Local-gov,216931, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, <=50K\n44, Local-gov,212665, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,99, United-States, <=50K\n24, Private,462820, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,198841, Assoc-voc,11, Divorced, Tech-support, Own-child, White, Male,0,0,35, United-States, <=50K\n61, Private,219886, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n31, Private,163003, Assoc-acdm,12, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n44, Private,112262, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,5178,0,40, United-States, >50K\n56, Private,213105, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,36, United-States, >50K\n66, Private,302072, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,338105, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n69, Self-emp-not-inc,58213, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,45, United-States, >50K\n64, Private,125684, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,215419, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,36, United-States, >50K\n43, Local-gov,413760, Some-college,10, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n37, Private,205339, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,49, United-States, <=50K\n19, Private,236570, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K\n59, Self-emp-not-inc,247552, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n50, Federal-gov,184007, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,341187, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n56, Private,220187, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,198258, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,175821, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,34, United-States, <=50K\n42, Private,92288, Masters,14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n34, Private,261418, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,203319, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n68, Self-emp-not-inc,166083, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,109001, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n81, ?,106765, Some-college,10, Widowed, ?, Unmarried, White, Female,0,0,4, United-States, <=50K\n22, Self-emp-not-inc,197387, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n58, Private,284834, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,87535, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,25, United-States, <=50K\n17, Local-gov,175587, 11th,7, Never-married, Protective-serv, Own-child, White, Male,0,0,30, United-States, <=50K\n25, Private,242700, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,10520,0,50, United-States, >50K\n23, Private,161478, Some-college,10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,23, United-States, <=50K\n25, Private,51498, 12th,8, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n47, Private,220124, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,188503, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, United-States, >50K\n44, Private,113324, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,208872, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n38, Self-emp-not-inc,34180, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n23, Private,292023, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K\n34, Private,141118, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n33, Private,348592, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n38, Private,185203, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n52, Self-emp-not-inc,165278, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,116933, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,33, United-States, <=50K\n38, Private,237608, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,2444,45, United-States, >50K\n35, Private,84787, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n67, Self-emp-not-inc,217892, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,10605,0,35, United-States, >50K\n60, Private,325971, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688,0,40, United-States, >50K\n44, Private,206878, HS-grad,9, Never-married, Sales, Other-relative, White, Female,0,0,15, United-States, <=50K\n38, Self-emp-not-inc,127772, HS-grad,9, Divorced, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K\n29, Private,208577, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n65, Private,344152, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,5556,0,50, United-States, >50K\n33, Private,40681, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, ?,95108, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,280603, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n43, Private,188436, Prof-school,15, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,134220, Assoc-voc,11, Divorced, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n42, Private,177989, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,164190, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K\n36, Private,90897, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, State-gov,33126, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,270886, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,216129, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n33, Private,189368, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K\n19, ?,141418, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K\n19, Private,306225, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n35, Private,330664, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,191765, HS-grad,9, Divorced, Tech-support, Unmarried, Black, Female,0,0,35, United-States, <=50K\n45, Private,289353, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,24, United-States, <=50K\n25, Private,53147, Bachelors,13, Never-married, Exec-managerial, Own-child, Black, Male,0,0,50, United-States, <=50K\n39, Self-emp-not-inc,122353, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,188767, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Private,239576, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,10, United-States, <=50K\n52, Local-gov,155141, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n22, Private,64520, 12th,8, Never-married, Transport-moving, Unmarried, White, Male,0,0,30, United-States, <=50K\n23, Private,478994, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Private,155654, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,124052, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K\n39, Private,245053, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n38, Private,183585, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,323639, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K\n55, Federal-gov,186791, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,284303, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,40, United-States, >50K\n23, Private,186666, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,200153, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,180931, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,30, United-States, <=50K\n51, Self-emp-not-inc,183173, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n47, Self-emp-inc,120131, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Cuba, >50K\n25, Self-emp-not-inc,263300, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n34, Private,226443, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n18, Private,404868, 11th,7, Never-married, Sales, Own-child, Black, Female,0,1602,20, United-States, <=50K\n19, Private,208506, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,28, United-States, <=50K\n32, Private,46746, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n49, Private,246183, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n40, ?,165309, 7th-8th,4, Separated, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K\n43, Private,122749, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n71, Self-emp-inc,38822, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K\n59, Private,167963, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n32, Private,273241, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n25, Private,120238, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,167990, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Ireland, <=50K\n17, Private,225507, 11th,7, Never-married, Handlers-cleaners, Not-in-family, Black, Female,0,0,15, United-States, <=50K\n57, Self-emp-inc,125000, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n17, Self-emp-not-inc,174120, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n27, Private,230959, Bachelors,13, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n41, Local-gov,132125, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n62, ?,68461, Doctorate,16, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K\n19, Private,227178, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n41, Private,165798, 5th-6th,3, Divorced, Other-service, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K\n39, Private,129573, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n30, Private,224377, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,179481, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,434268, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n40, Self-emp-not-inc,173716, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n38, Self-emp-inc,244803, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1485,60, Cuba, >50K\n24, Private,114230, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n33, Private,188661, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n48, Private,216093, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,124963, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,85341, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,193490, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n34, Private,80058, Prof-school,15, Never-married, Exec-managerial, Own-child, White, Male,0,0,50, United-States, <=50K\n41, Private,139907, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n51, Self-emp-inc,54342, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,27828,0,60, United-States, >50K\n25, Private,188767, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,117222, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K\n61, Self-emp-inc,171831, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,2829,0,45, United-States, <=50K\n35, Private,187119, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,70, United-States, <=50K\n42, Local-gov,97277, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Local-gov,219760, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,16, United-States, <=50K\n46, Private,63299, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n39, State-gov,171482, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n18, ?,344742, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,210869, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,80, United-States, <=50K\n39, Private,38312, Some-college,10, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,40, United-States, >50K\n47, Private,119939, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,83953, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n43, State-gov,101383, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,204374, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,176831, 10th,6, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n19, ?,60688, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K\n44, Federal-gov,251305, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n46, Local-gov,200947, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n53, Self-emp-not-inc,46704, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n43, Private,119721, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n41, State-gov,58930, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,247750, HS-grad,9, Widowed, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K\n48, Private,67725, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n28, State-gov,200775, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n44, Private,183542, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n20, ?,25139, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Local-gov,123325, Prof-school,15, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,269786, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K\n36, Private,51089, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n28, Private,136985, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K\n21, Private,129350, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n34, ?,35595, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n36, Local-gov,61299, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, ?,192321, Assoc-acdm,12, Never-married, ?, Own-child, White, Female,0,0,80, United-States, <=50K\n31, Private,257644, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K\n44, Self-emp-not-inc,70884, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n49, Local-gov,159726, 11th,7, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n40, Private,174395, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n64, Federal-gov,175534, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, >50K\n54, Local-gov,173050, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n27, Private,32519, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,55, South, <=50K\n18, Private,322999, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n68, Private,148874, 9th,5, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,44, United-States, <=50K\n64, Private,43738, Doctorate,16, Widowed, Prof-specialty, Not-in-family, White, Male,0,0,80, United-States, >50K\n36, Private,195385, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n21, Private,149809, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,24, United-States, <=50K\n22, Private,51985, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K\n61, Private,105384, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,137591, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,10, Greece, <=50K\n49, State-gov,324791, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,184303, Some-college,10, Separated, Priv-house-serv, Other-relative, White, Female,0,0,30, El-Salvador, <=50K\n66, ?,314347, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Private,274010, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n22, Private,321031, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n57, Federal-gov,313929, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n41, Private,394669, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1741,40, United-States, <=50K\n29, Private,152951, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,247115, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n47, Private,175958, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n22, Private,109039, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n59, Self-emp-inc,141326, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K\n42, State-gov,74334, Masters,14, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K\n64, Self-emp-not-inc,47462, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n29, Federal-gov,182344, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K\n25, State-gov,295912, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K\n62, Private,311495, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,236746, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,10520,0,45, United-States, >50K\n21, Private,187643, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Private,282923, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n46, Private,501671, 10th,6, Divorced, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K\n44, Federal-gov,29591, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Male,0,2258,40, United-States, >50K\n21, Private,301556, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,19, United-States, <=50K\n18, Private,187240, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,18, United-States, <=50K\n39, Private,219483, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,5013,0,32, United-States, <=50K\n33, Private,594187, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n63, Private,200474, 1st-4th,2, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Local-gov,152795, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, >50K\n17, Private,230789, 9th,5, Never-married, Sales, Own-child, Black, Male,0,0,22, United-States, <=50K\n45, Self-emp-inc,311231, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1485,50, United-States, >50K\n31, Private,114691, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,194591, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,114691, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n51, State-gov,42017, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Local-gov,383384, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n28, Private,29444, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n42, Federal-gov,53727, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, ?, <=50K\n38, Private,277022, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, Columbia, <=50K\n43, Local-gov,113324, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,342709, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,179203, 12th,8, Never-married, Sales, Other-relative, White, Male,0,0,55, United-States, <=50K\n46, Private,251474, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n50, Private,93730, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n22, Private,37894, HS-grad,9, Separated, Other-service, Other-relative, White, Male,0,0,35, United-States, <=50K\n18, State-gov,272918, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,15, United-States, <=50K\n53, Private,151411, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n40, Private,210648, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K\n36, Self-emp-not-inc,347491, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n32, Private,255885, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K\n39, Private,356838, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,12, United-States, <=50K\n46, Private,216164, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n26, Local-gov,288781, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,42, United-States, <=50K\n19, Private,439779, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n24, Private,161638, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Ecuador, <=50K\n28, Private,190525, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Local-gov,276249, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n44, Private,147265, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,245090, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Nicaragua, <=50K\n42, State-gov,219682, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n28, Private,392100, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,358682, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Male,0,0,50, ?, <=50K\n47, Private,262244, Bachelors,13, Never-married, Sales, Not-in-family, Black, Male,0,0,60, United-States, >50K\n46, Private,171228, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3411,0,35, Guatemala, <=50K\n21, Local-gov,218445, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K\n19, ?,182609, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,25, United-States, <=50K\n35, Private,509462, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n26, Private,213258, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,118401, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n67, Self-emp-not-inc,45814, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,329733, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K\n26, Private,29957, Masters,14, Never-married, Tech-support, Other-relative, White, Male,0,0,25, United-States, <=50K\n51, Private,215854, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n27, Private,327766, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n27, Private,405765, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, >50K\n39, Private,80680, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Private,177792, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, >50K\n52, Private,273514, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,202373, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Local-gov,332785, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,38, United-States, <=50K\n46, Private,149640, 7th-8th,4, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n42, Private,40151, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n79, Self-emp-inc,183686, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, >50K\n50, Federal-gov,32801, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, >50K\n19, ?,195282, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,20, United-States, <=50K\n43, Federal-gov,134026, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,2174,0,40, United-States, <=50K\n51, Local-gov,96678, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n45, Private,174533, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,50, United-States, >50K\n65, Private,180807, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,991,0,20, United-States, <=50K\n66, Private,186324, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,5, United-States, >50K\n36, Self-emp-not-inc,257250, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K\n26, Private,212800, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Female,0,0,36, United-States, <=50K\n28, Private,55360, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,50, United-States, <=50K\n39, Self-emp-not-inc,195253, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n43, Private,45156, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n20, Private,435469, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, Mexico, <=50K\n29, Private,231287, Some-college,10, Divorced, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K\n32, Private,168854, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1848,50, United-States, >50K\n44, Self-emp-not-inc,185057, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,3325,0,40, United-States, <=50K\n18, ?,91670, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n60, Private,165517, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,73161, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n60, Private,178792, HS-grad,9, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,32897, 11th,7, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,250967, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,41901, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,1408,40, United-States, <=50K\n49, Private,379779, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Private,217838, 5th-6th,3, Separated, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n37, Self-emp-not-inc,137527, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,2559,60, United-States, >50K\n43, Private,198965, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,38, United-States, >50K\n41, Private,70645, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,4650,0,55, United-States, <=50K\n37, Private,220644, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, ?, <=50K\n19, Private,175081, 9th,5, Never-married, Craft-repair, Other-relative, White, Male,0,0,60, United-States, <=50K\n29, Private,180299, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n40, Self-emp-not-inc,548664, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, United-States, <=50K\n53, Private,278114, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,394927, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n44, Self-emp-not-inc,127482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, England, >50K\n29, Private,236938, Assoc-acdm,12, Divorced, Craft-repair, Unmarried, White, Female,0,0,38, United-States, <=50K\n25, Private,232991, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Mexico, <=50K\n38, Private,34378, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n48, Self-emp-inc,81513, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n18, Private,106780, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K\n50, Private,178596, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,1408,50, United-States, <=50K\n37, Private,329026, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n48, Private,26490, Bachelors,13, Widowed, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n50, Private,338033, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K\n74, ?,169303, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,6767,0,6, United-States, <=50K\n24, Private,21154, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n34, Private,209449, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, >50K\n19, Private,389143, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,101260, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,198270, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,45781, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,134566, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, ?,283806, 9th,5, Divorced, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n68, ?,286869, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,1668,40, ?, <=50K\n46, Private,422813, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n24, Local-gov,103277, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,50, United-States, <=50K\n18, Private,201871, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n50, Self-emp-not-inc,167728, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n42, Private,211517, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,118212, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,259846, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,3471,0,40, United-States, <=50K\n57, Private,98926, Some-college,10, Widowed, Tech-support, Not-in-family, White, Female,0,0,16, United-States, <=50K\n27, Private,207352, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K\n31, Private,206609, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,104509, Masters,14, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,170350, HS-grad,9, Divorced, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n56, Private,183884, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n36, State-gov,110964, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1672,38, United-States, <=50K\n35, State-gov,154410, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n63, ?,257659, Masters,14, Never-married, ?, Not-in-family, White, Female,0,0,3, United-States, <=50K\n28, Private,274679, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n38, Private,252662, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-inc,356689, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K\n18, Private,205218, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n35, Private,241306, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,139127, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,175625, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,206459, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,176123, 10th,6, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,60, India, <=50K\n41, Private,111483, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,106118, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K\n18, Private,77845, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,1602,15, United-States, <=50K\n19, Private,162094, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,216469, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1579,50, United-States, <=50K\n56, Local-gov,381965, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n28, Private,145284, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K\n29, Private,242482, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K\n35, Self-emp-not-inc,160192, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n27, ?,280699, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Private,175942, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,55, ?, >50K\n18, Private,156950, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K\n53, Private,215572, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,173593, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,20, Canada, <=50K\n55, Private,193374, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n45, Local-gov,334039, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,337664, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,113504, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,177072, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,174503, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,214807, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,37, United-States, <=50K\n41, Private,222596, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K\n23, Private,100345, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n22, Private,409230, 12th,8, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,112497, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,25236,0,40, United-States, >50K\n65, Self-emp-inc,115922, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n59, ?,375049, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,41, United-States, >50K\n25, Private,243560, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, Columbia, <=50K\n33, Local-gov,182971, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,40, United-States, >50K\n31, Private,127215, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n50, State-gov,276241, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n49, State-gov,175109, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n43, Private,498079, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Federal-gov,344394, Some-college,10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n34, Private,99872, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,3103,0,40, India, >50K\n23, Private,245302, Some-college,10, Divorced, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n63, Private,43313, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,188467, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-inc,351278, Bachelors,13, Divorced, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K\n31, Private,182246, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n32, Private,79870, Some-college,10, Married-civ-spouse, Exec-managerial, Own-child, White, Female,2597,0,40, Japan, <=50K\n48, ?,353824, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, ?, >50K\n31, Private,387116, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,36, Jamaica, <=50K\n47, Private,34248, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n54, State-gov,198741, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,32950, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,381153, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,100067, 11th,7, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,35, United-States, >50K\n34, Private,208785, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n31, Private,61559, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K\n41, Private,176452, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Peru, <=50K\n41, ?,128700, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,328518, Assoc-voc,11, Never-married, Prof-specialty, Other-relative, White, Male,0,0,30, United-States, <=50K\n30, ?,201196, 11th,7, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n23, Private,378546, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Local-gov,212210, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, ?, <=50K\n59, Federal-gov,178660, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,235826, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n35, Self-emp-not-inc,22641, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n59, Private,316027, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, Cuba, <=50K\n47, Private,431515, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n51, Self-emp-not-inc,149770, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,44, United-States, <=50K\n42, Private,165916, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n29, Federal-gov,107411, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,217961, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,45, Outlying-US(Guam-USVI-etc), <=50K\n43, Self-emp-not-inc,350387, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n46, Private,325372, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,156718, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,216472, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,20, United-States, <=50K\n29, State-gov,106972, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n33, Private,131934, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n33, Local-gov,365908, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,2105,0,40, United-States, <=50K\n46, Local-gov,359193, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n35, Private,261012, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n36, Private,272944, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n25, Private,113654, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,37, United-States, <=50K\n35, Private,218955, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,115963, 7th-8th,4, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,42, United-States, <=50K\n39, Private,80638, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,84, United-States, >50K\n37, Private,147258, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n22, Private,214635, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,42, United-States, <=50K\n25, Private,200318, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n50, Private,138270, HS-grad,9, Married-civ-spouse, Sales, Wife, Black, Female,0,0,40, United-States, <=50K\n64, Federal-gov,388594, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, ?, >50K\n33, Private,103435, Assoc-voc,11, Separated, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n59, Self-emp-inc,133201, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Italy, <=50K\n24, Private,175183, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,99870, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n38, ?,107479, 9th,5, Never-married, ?, Own-child, White, Female,0,0,12, United-States, <=50K\n60, Private,113440, Bachelors,13, Divorced, Exec-managerial, Own-child, White, Male,0,0,60, United-States, <=50K\n19, Private,85690, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,30, United-States, <=50K\n23, Private,45713, Some-college,10, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n57, Self-emp-inc,376230, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,99999,0,40, United-States, >50K\n36, Private,145576, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1977,40, Japan, >50K\n17, ?,67808, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,113936, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,158291, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,193898, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n43, Private,191982, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,55, United-States, <=50K\n21, ?,72953, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Private,271160, Assoc-voc,11, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,33087, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n29, Private,106153, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n22, Private,29444, 12th,8, Never-married, Farming-fishing, Not-in-family, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K\n37, Private,105021, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n38, Self-emp-not-inc,239045, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n34, Private,94413, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,20534, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,84, United-States, >50K\n28, Private,350254, 1st-4th,2, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n68, Private,194746, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, Cuba, <=50K\n36, Private,269042, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K\n20, Private,447488, 9th,5, Never-married, Other-service, Unmarried, White, Male,0,0,30, Mexico, <=50K\n24, Private,267706, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,45, United-States, <=50K\n38, Private,198216, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,227931, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,252646, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K\n47, Private,223342, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,2174,0,40, England, <=50K\n28, Private,181776, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K\n32, Private,132601, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n58, Private,205410, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n64, Self-emp-inc,185912, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,35, United-States, >50K\n38, Private,292570, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,50, United-States, <=50K\n43, Private,76460, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,295163, 12th,8, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,27255, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, ?, <=50K\n23, Private,69847, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K\n25, Private,104993, 9th,5, Never-married, Handlers-cleaners, Own-child, Black, Male,2907,0,40, United-States, <=50K\n41, Private,322980, HS-grad,9, Separated, Adm-clerical, Not-in-family, Black, Male,2354,0,40, United-States, <=50K\n24, ?,390608, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,36, United-States, <=50K\n41, Private,317539, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,195678, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,466502, 7th-8th,4, Widowed, Other-service, Unmarried, White, Male,0,0,30, United-States, <=50K\n28, Local-gov,220754, HS-grad,9, Separated, Transport-moving, Own-child, White, Female,0,0,25, United-States, <=50K\n29, Private,202878, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2042,40, United-States, <=50K\n36, Private,343476, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n41, Self-emp-inc,93227, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,1977,60, Taiwan, >50K\n60, Self-emp-not-inc,38622, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n34, State-gov,173730, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K\n32, Private,178623, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, ?, <=50K\n27, Private,300783, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,42, United-States, >50K\n60, Private,224644, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,191502, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,61885, 12th,8, Divorced, Transport-moving, Other-relative, Black, Male,0,0,35, United-States, <=50K\n34, Self-emp-not-inc,213887, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,32, Canada, >50K\n36, Private,331395, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,145098, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,123075, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,216804, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,0,33, United-States, <=50K\n40, Private,188291, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,33610, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K\n39, Private,234901, Assoc-acdm,12, Separated, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,349148, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,168443, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n43, Private,211860, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,24, United-States, <=50K\n35, Private,193961, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n36, Local-gov,52532, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,50, United-States, >50K\n59, Self-emp-not-inc,75804, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, >50K\n33, Self-emp-not-inc,176185, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,306779, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n48, Private,265192, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n54, Private,139347, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,107682, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n37, Private,34173, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,128378, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n51, Self-emp-inc,195638, Some-college,10, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,59287, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,162442, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n29, ?,350603, 10th,6, Never-married, ?, Own-child, White, Female,0,0,38, United-States, <=50K\n39, Private,344743, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, Black, Female,0,0,50, United-States, >50K\n35, Private,112077, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013,0,40, United-States, <=50K\n26, Private,176795, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, >50K\n51, Private,137815, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n31, Private,309620, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,6, South, <=50K\n39, Private,336880, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,206600, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,30, Mexico, <=50K\n25, Private,193051, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,35, United-States, <=50K\n61, Federal-gov,229062, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1887,40, United-States, >50K\n49, Private,62793, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n53, Private,264939, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Mexico, <=50K\n52, Private,370552, Preschool,1, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, El-Salvador, <=50K\n52, Private,163678, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n74, ?,89667, Bachelors,13, Widowed, ?, Not-in-family, Other, Female,0,0,35, United-States, <=50K\n50, Private,558490, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n29, Private,124680, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,13550,0,35, United-States, >50K\n76, Private,208843, 7th-8th,4, Widowed, Protective-serv, Not-in-family, White, Male,0,0,30, United-States, <=50K\n19, Private,95078, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n25, Private,169679, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,101320, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,168906, Assoc-acdm,12, Divorced, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n20, Private,212582, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n66, ?,170617, Masters,14, Widowed, ?, Not-in-family, White, Male,0,0,6, United-States, <=50K\n63, ?,170529, Bachelors,13, Married-civ-spouse, ?, Wife, Black, Female,0,0,45, United-States, <=50K\n27, Private,99897, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,104892, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,2829,0,40, United-States, <=50K\n43, Private,175224, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, Nicaragua, <=50K\n23, Private,149704, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Federal-gov,214542, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Private,167319, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n33, State-gov,43716, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,4, United-States, <=50K\n28, Private,191935, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n70, ?,158642, HS-grad,9, Widowed, ?, Not-in-family, White, Female,2993,0,20, United-States, <=50K\n35, Private,338611, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,136419, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,75, United-States, >50K\n17, Private,72321, 11th,7, Never-married, Other-service, Other-relative, White, Female,0,0,12, United-States, <=50K\n41, Local-gov,189956, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, >50K\n44, Private,403782, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n47, Private,456661, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n24, Private,279041, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,65716, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,189809, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,52, Jamaica, <=50K\n62, Local-gov,223637, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n27, Local-gov,199343, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K\n59, Private,139344, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n35, Private,119098, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,195025, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K\n28, Private,186720, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,50, United-States, <=50K\n28, Private,328923, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,38, United-States, <=50K\n59, State-gov,159472, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,138662, Some-college,10, Separated, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n54, Local-gov,286342, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, >50K\n39, Private,181705, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n41, Private,193882, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,216497, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, Germany, <=50K\n32, Self-emp-inc,124919, Bachelors,13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,50, Iran, >50K\n62, Private,109463, Some-college,10, Separated, Sales, Unmarried, White, Female,0,1617,33, United-States, <=50K\n58, Private,256274, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,326379, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n67, ?,174995, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,2457,40, United-States, <=50K\n31, Private,243142, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Local-gov,155118, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,70, United-States, >50K\n54, Private,189607, Bachelors,13, Never-married, Other-service, Own-child, Black, Female,0,0,36, United-States, <=50K\n20, Private,39478, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,70, United-States, <=50K\n35, Private,206951, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,127647, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,36, United-States, <=50K\n38, Private,234298, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,6849,0,60, United-States, <=50K\n42, Private,182302, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n44, State-gov,166597, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n28, Self-emp-not-inc,33363, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, >50K\n74, Self-emp-inc,167537, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n34, Private,179378, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, <=50K\n50, State-gov,297551, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,52, United-States, <=50K\n50, Private,198362, Assoc-voc,11, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n43, Private,240504, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,169662, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, ?,164940, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,25, United-States, <=50K\n61, Private,210488, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n21, Private,154835, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n27, Private,333296, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,30, ?, <=50K\n47, Private,192793, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Iran, >50K\n39, Private,49436, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,1380,40, United-States, <=50K\n33, Private,136331, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,509048, HS-grad,9, Never-married, Sales, Other-relative, Black, Female,0,0,37, United-States, <=50K\n38, Private,318610, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n45, Private,104521, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,247695, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n35, Private,219546, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, Germany, <=50K\n21, Private,169699, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n49, State-gov,131302, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,44, United-States, <=50K\n50, Private,171852, Bachelors,13, Separated, Prof-specialty, Own-child, Other, Female,0,0,40, United-States, <=50K\n36, State-gov,340091, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, >50K\n20, Private,204641, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n49, Private,213431, HS-grad,9, Separated, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n40, State-gov,377018, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n22, Private,184543, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n60, ?,188236, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n67, Private,233022, 11th,7, Widowed, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n21, Private,177420, Some-college,10, Never-married, Adm-clerical, Not-in-family, Other, Female,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,21101, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K\n17, Private,52486, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K\n43, Private,183273, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,32, United-States, >50K\n49, State-gov,36177, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n41, Private,124956, Bachelors,13, Separated, Prof-specialty, Not-in-family, Black, Female,99999,0,60, United-States, >50K\n38, Private,102350, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n38, Private,165930, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,297574, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, >50K\n40, Private,120277, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, ?,87569, Some-college,10, Separated, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, ?,278220, Some-college,10, Never-married, ?, Own-child, White, Female,0,1602,40, United-States, <=50K\n40, Private,155972, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n46, State-gov,162852, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,64860, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,22, United-States, <=50K\n36, Private,226013, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,5178,0,40, United-States, >50K\n24, Private,322674, Assoc-acdm,12, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K\n62, Private,202242, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n54, Private,175262, Preschool,1, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n23, Private,201682, Bachelors,13, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n60, Private,166330, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n18, Self-emp-inc,147612, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Female,0,0,8, United-States, <=50K\n41, Local-gov,213154, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K\n45, Local-gov,33798, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n62, State-gov,199198, Assoc-voc,11, Widowed, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,90915, Bachelors,13, Married-spouse-absent, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Self-emp-inc,337778, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Yugoslavia, >50K\n31, Private,187203, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n44, Private,261497, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, ?, <=50K\n33, Self-emp-not-inc,361817, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n62, Self-emp-not-inc,226546, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,16, United-States, <=50K\n27, Private,100168, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n42, Federal-gov,272625, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, >50K\n55, Private,254516, 9th,5, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,37, United-States, <=50K\n41, Private,207375, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n26, Private,39092, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,4064,0,50, United-States, <=50K\n45, Private,48271, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n67, Self-emp-not-inc,152102, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K\n25, Private,234665, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n30, Self-emp-inc,127651, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,48, United-States, >50K\n22, Private,180060, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n19, Private,32477, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n26, Private,137658, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n61, Private,228287, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,159442, Prof-school,15, Never-married, Sales, Not-in-family, White, Female,13550,0,50, United-States, >50K\n43, Private,33310, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Private,270546, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,20, United-States, <=50K\n53, Federal-gov,290290, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n42, Self-emp-inc,287037, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,0,10, United-States, <=50K\n36, Private,128516, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n55, Self-emp-not-inc,185195, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, <=50K\n35, Federal-gov,49657, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n17, Private,98005, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K\n55, Self-emp-not-inc,283635, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n36, Private,98360, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n40, Local-gov,202872, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n54, Self-emp-not-inc,118365, 10th,6, Divorced, Other-service, Not-in-family, Black, Female,0,0,10, United-States, <=50K\n45, Self-emp-not-inc,184285, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n48, Private,345831, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n40, Local-gov,99679, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K\n31, Private,253354, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,190650, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K\n34, Private,287737, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1485,40, United-States, >50K\n19, Private,204389, HS-grad,9, Never-married, Adm-clerical, Own-child, Other, Female,0,0,25, Puerto-Rico, <=50K\n31, Federal-gov,294870, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,159442, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n55, Local-gov,161662, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n38, Private,52738, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,252024, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,20, Mexico, <=50K\n27, Private,189702, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,407913, HS-grad,9, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n20, Private,166527, Some-college,10, Never-married, Adm-clerical, Own-child, Other, Female,0,0,20, United-States, <=50K\n24, Self-emp-not-inc,34918, Assoc-voc,11, Never-married, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K\n27, Private,142712, Masters,14, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, ?, <=50K\n18, Federal-gov,201686, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,4, United-States, <=50K\n28, Local-gov,179759, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,94954, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, Private,350498, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1258,20, United-States, <=50K\n19, Private,201743, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n59, Self-emp-not-inc,119344, 10th,6, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,36, United-States, <=50K\n33, Private,149726, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,46, United-States, <=50K\n28, Private,419146, 7th-8th,4, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n34, Private,174789, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,2001,40, United-States, <=50K\n41, Private,171234, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K\n30, Private,206325, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n59, Private,202682, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,121055, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n47, Private,160187, HS-grad,9, Separated, Prof-specialty, Other-relative, Black, Female,14084,0,38, United-States, >50K\n29, Private,84366, 10th,6, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K\n60, Private,139391, Some-college,10, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, >50K\n53, Local-gov,124094, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,35, United-States, <=50K\n41, Private,30759, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n32, Private,137875, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n73, ?,139049, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,22, United-States, >50K\n20, Private,238384, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n49, Private,340755, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n36, Local-gov,224947, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n33, State-gov,111994, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n25, Private,125491, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,34, United-States, <=50K\n34, ?,310525, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,10, United-States, <=50K\n19, ?,71592, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n40, Local-gov,99185, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,249935, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K\n51, Private,206775, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n22, Private,230704, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,20, Jamaica, <=50K\n34, Private,242361, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,50, United-States, <=50K\n22, Private,134746, 10th,6, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-inc,198613, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2002,40, United-States, <=50K\n56, Private,174040, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,165953, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1902,40, United-States, <=50K\n36, Private,273604, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, Private,192409, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n26, Self-emp-not-inc,102476, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n48, Private,234504, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n35, Self-emp-not-inc,468713, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,84560, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,148995, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,34816, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,12, United-States, <=50K\n28, Private,211184, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n53, Private,33304, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n65, Federal-gov,179985, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,219815, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, Private,134766, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n26, Private,106548, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n70, Private,89787, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K\n55, Private,164857, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Federal-gov,257124, Bachelors,13, Never-married, Transport-moving, Other-relative, White, Male,0,0,35, United-States, <=50K\n31, Private,227446, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Cuba, >50K\n43, Private,125461, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,55, United-States, >50K\n24, Private,189749, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,176321, 7th-8th,4, Never-married, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n26, Private,284250, HS-grad,9, Never-married, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,101885, 10th,6, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,134130, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n52, Private,260938, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,238184, HS-grad,9, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,148626, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,48102, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1977,50, United-States, >50K\n58, Private,234213, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,14344,0,48, United-States, >50K\n65, Private,113323, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n24, Local-gov,34246, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n51, Private,175070, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,5178,0,45, United-States, >50K\n31, Private,279680, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n84, Private,188328, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,16, United-States, <=50K\n51, Private,96609, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Local-gov,84257, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Private,275632, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n22, Private,385540, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n30, Private,196342, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Ireland, <=50K\n47, Private,97176, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,197714, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n43, Self-emp-not-inc,147099, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,36, United-States, <=50K\n30, Private,186346, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n46, Private,73434, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n49, Local-gov,275074, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n37, Private,209214, 5th-6th,3, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K\n42, Private,210525, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,372020, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5013,0,50, United-States, <=50K\n46, Private,176684, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,210474, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n26, Private,293690, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,58, United-States, >50K\n64, Private,149775, Masters,14, Never-married, Prof-specialty, Other-relative, White, Female,0,0,8, United-States, <=50K\n20, Private,323009, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, Germany, <=50K\n31, Private,126950, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,172538, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,40, United-States, >50K\n44, Private,115411, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,101709, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,2885,0,40, United-States, <=50K\n23, Private,265356, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n31, Local-gov,192565, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,90, United-States, >50K\n35, Self-emp-not-inc,348771, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K\n30, Self-emp-not-inc,148959, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K\n35, Private,126569, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K\n40, Private,105936, HS-grad,9, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K\n18, Private,188076, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n23, Private,184400, 10th,6, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,30, ?, <=50K\n63, Private,124242, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n20, State-gov,200819, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,100480, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n49, Private,129513, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n53, Self-emp-not-inc,297796, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,195488, HS-grad,9, Separated, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n54, Private,153486, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,56, United-States, >50K\n40, Private,126845, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,206974, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,412149, 10th,6, Never-married, Farming-fishing, Other-relative, White, Male,0,0,35, Mexico, <=50K\n24, Private,653574, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, El-Salvador, <=50K\n37, Private,70562, 1st-4th,2, Never-married, Other-service, Unmarried, White, Female,0,0,48, El-Salvador, <=50K\n62, Private,197514, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,16, United-States, <=50K\n19, ?,309284, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,334679, Assoc-voc,11, Widowed, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n65, Private,105116, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,2346,0,40, United-States, <=50K\n31, Private,151484, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,8, United-States, <=50K\n42, Self-emp-inc,78765, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,90, United-States, >50K\n42, Private,98427, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,35, United-States, <=50K\n54, Private,230767, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Cuba, <=50K\n23, Private,117606, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,60, United-States, <=50K\n28, Private,68642, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,46, United-States, <=50K\n42, Private,341638, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,65920, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n33, Federal-gov,188246, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,198727, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,160728, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,2977,0,40, United-States, <=50K\n27, Private,706026, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n20, ?,348148, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n62, Private,77884, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n17, Private,160758, 10th,6, Never-married, Sales, Other-relative, White, Male,0,0,30, United-States, <=50K\n58, Private,201112, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,55, United-States, >50K\n69, Self-emp-inc,107850, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,6514,0,40, United-States, >50K\n34, Private,230246, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K\n34, Private,203034, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,2824,50, United-States, >50K\n20, Private,373935, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n64, Federal-gov,341695, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n27, Private,119793, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, ?, <=50K\n41, Private,178002, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n40, Private,233130, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K\n53, Local-gov,192982, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, >50K\n44, Private,33155, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n37, Private,187346, 5th-6th,3, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, Mexico, <=50K\n46, Private,78529, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, >50K\n17, Private,101626, 9th,5, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K\n35, Private,117567, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Local-gov,110791, Assoc-acdm,12, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, State-gov,207120, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n48, Private,43206, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,25, United-States, <=50K\n26, Private,120238, Bachelors,13, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n26, Private,189219, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K\n35, State-gov,190895, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,83517, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,35557, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, United-States, >50K\n36, Local-gov,59313, Some-college,10, Separated, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n25, Private,202033, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n18, Local-gov,55658, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n21, Private,118186, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K\n22, Private,279901, HS-grad,9, Married-civ-spouse, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n52, Private,110954, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, El-Salvador, >50K\n36, Self-emp-not-inc,90159, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n25, Private,122489, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,1726,60, United-States, <=50K\n49, Self-emp-not-inc,43348, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,99999,0,70, United-States, >50K\n42, Private,34278, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,37778, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,54, United-States, <=50K\n39, Private,160623, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,342458, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,64322, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,373914, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,205884, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K\n62, Local-gov,208266, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n38, Private,222450, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n23, Private,348420, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,136081, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2051,40, United-States, <=50K\n37, Federal-gov,197284, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n27, ?,204773, Assoc-acdm,12, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n41, Private,206066, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,61885, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,299908, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, >50K\n35, Private,46028, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K\n47, Private,239865, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,45, United-States, >50K\n30, Private,154587, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K\n29, Private,244473, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,2051,40, United-States, <=50K\n36, Private,32334, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n42, Private,319588, Bachelors,13, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n51, Private,226735, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n34, Private,226443, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-inc,359259, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, Portugal, <=50K\n27, Private,36851, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,41, United-States, <=50K\n39, Private,393480, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n46, Private,33109, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1741,40, United-States, <=50K\n32, Self-emp-not-inc,188246, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,1590,62, United-States, <=50K\n31, Private,231569, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,0,0,50, United-States, <=50K\n23, Private,353010, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K\n47, Private,102628, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n66, Private,262285, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,99, United-States, <=50K\n26, Private,160300, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Private,156953, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n53, Self-emp-inc,136823, 11th,7, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K\n48, Self-emp-not-inc,160724, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K\n37, Self-emp-inc,86459, Assoc-acdm,12, Separated, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K\n17, Private,238628, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,5, United-States, <=50K\n50, Private,339954, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n28, ?,222005, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,40, Mexico, <=50K\n17, Federal-gov,99893, 11th,7, Never-married, Adm-clerical, Not-in-family, Black, Female,0,1602,40, United-States, <=50K\n39, Private,214117, Some-college,10, Divorced, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n28, Federal-gov,298661, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n38, Private,179488, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n53, Private,48343, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,40, United-States, >50K\n28, Local-gov,100270, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,227065, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,32, United-States, >50K\n40, Private,126701, 9th,5, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n20, Private,209131, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n32, State-gov,400132, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n23, State-gov,278155, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,139012, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,2174,0,40, Vietnam, <=50K\n41, Private,178431, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K\n42, Private,511068, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n18, Private,199039, 12th,8, Never-married, Sales, Own-child, White, Male,594,0,14, United-States, <=50K\n29, Local-gov,190525, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,60, Germany, >50K\n36, Private,115700, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,167832, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,218164, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,44, United-States, <=50K\n48, State-gov,171926, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n36, Self-emp-inc,242080, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, >50K\n67, Federal-gov,223257, HS-grad,9, Widowed, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n53, Private,386773, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K\n53, Self-emp-not-inc,105478, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,40, United-States, >50K\n45, Private,140644, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K\n22, Private,205970, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n25, Private,216583, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, <=50K\n61, Private,162432, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Local-gov,83671, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n47, Self-emp-inc,205100, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, Germany, <=50K\n31, Private,195750, 1st-4th,2, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n17, Private,220562, 9th,5, Never-married, Sales, Other-relative, Other, Female,0,0,32, Mexico, <=50K\n38, Self-emp-inc,312232, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,386337, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, ?, <=50K\n42, Private,86185, Some-college,10, Widowed, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n78, Private,105586, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,36, United-States, <=50K\n54, Private,103345, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n26, Local-gov,150553, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,50, United-States, <=50K\n30, Private,26009, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n46, Private,149388, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,151626, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,45, United-States, <=50K\n30, Private,169583, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n66, Local-gov,174486, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,20051,0,35, Jamaica, >50K\n23, Private,160951, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,2597,0,40, United-States, <=50K\n25, Private,213383, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-inc,103078, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n25, Local-gov,109526, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K\n51, Private,142835, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, State-gov,43475, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,190916, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Private,175987, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Local-gov,214385, 11th,7, Divorced, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K\n26, Private,192652, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Federal-gov,207685, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n19, Private,143857, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n39, Private,163392, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,26, ?, <=50K\n51, Private,310774, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n29, ?,427965, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,20, United-States, <=50K\n27, Private,279608, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n33, Private,312881, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n19, Private,175083, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K\n67, ?,132057, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,20, United-States, <=50K\n41, Private,32878, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n29, Federal-gov,360527, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,99478, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n25, Private,113035, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Federal-gov,99199, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,36, United-States, <=50K\n24, Local-gov,452640, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,14344,0,50, United-States, >50K\n48, Private,236858, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,31, United-States, <=50K\n46, Self-emp-inc,201865, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,268661, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n35, Federal-gov,475324, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,117295, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,65704, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, ?, <=50K\n45, Private,192835, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n62, Local-gov,76720, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n39, Local-gov,180686, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K\n33, Local-gov,133876, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n22, Private,123727, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,30, United-States, <=50K\n50, Private,129956, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n25, Private,96268, 11th,7, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,317320, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,86872, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n31, State-gov,100863, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, >50K\n56, Private,164332, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,15, United-States, <=50K\n49, Self-emp-not-inc,122584, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,34377, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n46, Private,162030, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,43, United-States, <=50K\n33, Private,199170, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n25, Private,470203, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n40, Private,266803, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n72, ?,188009, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n32, State-gov,513416, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,10, United-States, <=50K\n44, Private,98211, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n48, Private,196107, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n17, Private,108273, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K\n50, Private,213290, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,36, United-States, >50K\n61, Private,96660, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,15024,0,34, United-States, >50K\n22, Local-gov,412316, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n17, Private,120068, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,17, United-States, <=50K\n49, Self-emp-inc,101722, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n26, Private,120268, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n19, State-gov,144429, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K\n17, Private,271122, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n38, Private,255621, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,90934, Assoc-voc,11, Divorced, Protective-serv, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n51, Private,162745, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K\n48, Private,128460, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K\n63, Private,30813, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n19, Private,164585, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n73, Private,148003, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,20051,0,36, United-States, >50K\n51, Private,215647, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,43, United-States, <=50K\n38, Private,300975, Masters,14, Married-civ-spouse, Other-service, Husband, Black, Male,0,1485,40, ?, <=50K\n54, Private,421561, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,149909, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,40, United-States, >50K\n65, ?,240857, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,2377,40, United-States, >50K\n36, Self-emp-not-inc,138940, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,50, United-States, >50K\n42, Private,66755, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K\n38, Private,103323, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n20, ?,117222, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n37, State-gov,29145, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n35, State-gov,184659, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, >50K\n51, Self-emp-not-inc,20795, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,311376, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, State-gov,122660, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n19, ?,137578, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,16, United-States, <=50K\n37, Private,193689, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, >50K\n29, Private,144556, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n33, Private,228696, 1st-4th,2, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0,2603,32, Mexico, <=50K\n60, Private,184183, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n22, Private,243178, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n22, ?,236330, Some-college,10, Never-married, ?, Own-child, Black, Male,0,1721,20, United-States, <=50K\n60, State-gov,190682, Assoc-voc,11, Widowed, Other-service, Not-in-family, Black, Female,0,0,37, United-States, <=50K\n35, Private,233786, 11th,7, Separated, Other-service, Unmarried, White, Male,0,0,20, United-States, <=50K\n45, Private,102202, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,95299, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, >50K\n43, Self-emp-inc,240504, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n32, State-gov,169973, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n35, Private,144937, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K\n32, Private,211751, Assoc-voc,11, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n61, Private,84587, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n40, State-gov,150874, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,1506,0,40, United-States, <=50K\n20, ?,187332, 10th,6, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n42, Self-emp-inc,188615, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n21, Private,119704, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n21, Private,275190, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n26, Private,417941, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, State-gov,196348, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n24, Private,221955, Bachelors,13, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n47, Private,173938, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,57, United-States, >50K\n51, Private,123429, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Male,0,0,30, United-States, <=50K\n65, ?,143732, HS-grad,9, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n61, Private,203126, Bachelors,13, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,12, ?, <=50K\n67, Private,174693, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,25, Nicaragua, <=50K\n49, Private,357540, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K\n63, ?,29859, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,1485,40, United-States, >50K\n58, Private,314092, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,48, United-States, >50K\n61, Private,280088, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,257380, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,35, United-States, <=50K\n19, Private,165306, Some-college,10, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n29, Self-emp-not-inc,109001, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n43, Private,266439, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K\n60, Self-emp-not-inc,153356, HS-grad,9, Divorced, Sales, Not-in-family, Black, Male,2597,0,55, United-States, <=50K\n21, Private,32950, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n22, Private,182163, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,188246, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n36, Private,297335, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,50, China, <=50K\n37, Private,108366, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,46, United-States, <=50K\n35, Private,328301, Assoc-acdm,12, Married-AF-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n17, Private,182158, 10th,6, Never-married, Priv-house-serv, Own-child, White, Male,0,0,30, United-States, <=50K\n37, Private,169426, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n22, ?,330571, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,45, United-States, <=50K\n28, Private,535978, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,29393, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Self-emp-inc,258883, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,60, Hungary, >50K\n26, Private,369166, Some-college,10, Never-married, Farming-fishing, Other-relative, White, Female,0,0,65, United-States, <=50K\n45, Local-gov,257855, 11th,7, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,50, United-States, <=50K\n32, Private,164197, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K\n63, Private,109517, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,43, United-States, <=50K\n22, Private,112137, Some-college,10, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,20, South, <=50K\n36, Private,160035, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n45, State-gov,50567, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,140011, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n27, State-gov,271328, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n20, ?,183083, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n47, Self-emp-not-inc,159869, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, United-States, >50K\n46, Private,102542, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,0,52, United-States, <=50K\n28, Private,297742, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Private,176917, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n26, Private,165235, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Thailand, <=50K\n32, Self-emp-not-inc,52647, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n30, Local-gov,48542, 12th,8, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n59, Private,279232, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n58, State-gov,259929, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, >50K\n45, Private,221780, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n76, Self-emp-not-inc,253408, Some-college,10, Widowed, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,298841, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Private,321313, Masters,14, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,64875, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K\n30, Private,275232, Assoc-acdm,12, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,36, United-States, <=50K\n53, Self-emp-inc,134854, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Greece, >50K\n41, Private,67339, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K\n27, State-gov,192355, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n44, Local-gov,208528, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n35, Private,160120, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K\n36, Private,250238, 1st-4th,2, Never-married, Other-service, Other-relative, Other, Female,0,0,40, El-Salvador, <=50K\n51, Private,25031, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,10, United-States, >50K\n42, Local-gov,255847, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,26892, Bachelors,13, Married-AF-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K\n45, Private,111979, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,408537, 9th,5, Divorced, Craft-repair, Unmarried, White, Female,99999,0,37, United-States, >50K\n36, Private,231037, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n57, Federal-gov,30030, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n27, Private,292120, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,45, United-States, <=50K\n62, Private,138253, Masters,14, Never-married, Handlers-cleaners, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n29, Private,190777, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n38, Self-emp-not-inc,41591, Bachelors,13, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K\n29, Private,186733, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n18, ?,78567, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n19, ?,140590, 12th,8, Never-married, ?, Own-child, Black, Male,0,0,30, United-States, <=50K\n32, Local-gov,230912, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,4865,0,40, United-States, <=50K\n34, Private,176185, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1741,40, United-States, <=50K\n25, Private,182227, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K\n34, Local-gov,205704, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n37, State-gov,24342, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K\n37, Private,138192, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n18, Private,334676, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n24, Private,177526, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n17, Private,152696, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n35, Private,114765, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,265509, Assoc-voc,11, Separated, Tech-support, Unmarried, Black, Female,0,0,32, United-States, <=50K\n29, Private,180758, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n49, Self-emp-not-inc,127921, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n71, ?,177906, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, >50K\n35, Federal-gov,182898, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,422249, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n37, Private,222450, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n33, Local-gov,190027, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,18, United-States, <=50K\n49, Private,281647, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n32, Private,117963, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n63, ?,319121, 11th,7, Separated, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, Private,225504, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,104334, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, El-Salvador, <=50K\n30, State-gov,48214, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n30, Private,145714, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-inc,38240, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n57, Self-emp-not-inc,27385, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,10, United-States, <=50K\n56, Private,204254, 10th,6, Divorced, Other-service, Unmarried, Black, Female,0,0,45, United-States, <=50K\n28, Private,411587, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, Honduras, <=50K\n43, Private,221172, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,24, United-States, >50K\n46, Private,54190, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n60, Private,93997, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K\n50, Local-gov,24139, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,65, United-States, <=50K\n37, Private,112497, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n41, Private,138907, HS-grad,9, Divorced, Priv-house-serv, Other-relative, Black, Female,0,0,40, United-States, <=50K\n38, Private,186325, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,38, United-States, >50K\n23, Private,199452, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Private,126677, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n72, Private,107814, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,2329,0,60, United-States, <=50K\n47, Local-gov,93618, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,33, United-States, <=50K\n29, Private,353352, Assoc-voc,11, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n35, Private,143058, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n24, Private,239663, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,15, United-States, <=50K\n22, Private,167615, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,442274, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,149210, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,45, United-States, >50K\n55, Federal-gov,174533, Bachelors,13, Separated, Other-service, Unmarried, White, Female,0,0,72, ?, <=50K\n40, State-gov,50093, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K\n61, Private,270056, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Japan, <=50K\n58, Self-emp-not-inc,131991, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Male,0,0,72, United-States, <=50K\n39, State-gov,126336, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,341117, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n25, Private,108505, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K\n69, ?,106566, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n36, Private,74791, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Male,0,0,60, ?, <=50K\n34, Private,24266, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n45, Private,267967, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n27, ?,181284, 12th,8, Married-civ-spouse, ?, Husband, Black, Male,0,0,45, United-States, <=50K\n28, Private,102533, Some-college,10, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n27, Private,69757, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n41, State-gov,210094, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n18, State-gov,389147, HS-grad,9, Never-married, Sales, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n44, Private,210648, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,94809, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K\n36, Local-gov,298717, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n66, Private,236879, Preschool,1, Widowed, Priv-house-serv, Other-relative, White, Female,0,0,40, Guatemala, <=50K\n33, Private,170148, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n39, Local-gov,166497, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, >50K\n30, Private,247156, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,204052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n62, Self-emp-not-inc,122246, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K\n21, Private,180339, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n50, Self-emp-inc,155574, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K\n30, Private,114912, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,60, United-States, >50K\n43, Private,193882, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,112269, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n26, Federal-gov,171928, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,50, Japan, <=50K\n50, Private,95435, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1579,65, Canada, <=50K\n45, Federal-gov,179638, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n46, Self-emp-inc,125892, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,721712, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K\n56, Private,197369, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,353795, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,3103,0,40, United-States, >50K\n47, Private,334679, Masters,14, Separated, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0,0,42, India, <=50K\n23, Private,235853, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n51, Self-emp-not-inc,353281, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n19, Private,203061, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,25, United-States, <=50K\n33, Self-emp-not-inc,62932, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,118551, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,80, United-States, <=50K\n52, Private,99184, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,189674, Some-college,10, Separated, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K\n34, Private,226883, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, ?,109564, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Self-emp-inc,66872, 12th,8, Married-civ-spouse, Sales, Husband, Other, Male,0,0,98, Dominican-Republic, <=50K\n35, Local-gov,268292, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, Federal-gov,139290, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,206541, 11th,7, Divorced, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n23, Private,203139, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,294398, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n20, Private,386864, 10th,6, Never-married, Other-service, Other-relative, White, Male,0,0,35, Mexico, <=50K\n17, Private,369909, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n56, Private,89922, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,45, United-States, >50K\n26, Private,176008, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n43, State-gov,241506, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,1506,0,36, United-States, <=50K\n45, Self-emp-not-inc,174426, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n34, Private,167497, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,50, United-States, >50K\n54, Private,292673, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, Mexico, <=50K\n51, Local-gov,134808, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,95763, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n49, Private,83622, Assoc-acdm,12, Separated, Adm-clerical, Not-in-family, White, Female,2597,0,40, United-States, <=50K\n21, Private,222490, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n44, Private,29115, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,66638, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n39, Private,53926, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,43739, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,104359, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,124604, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,32, United-States, <=50K\n45, Private,114797, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n60, Federal-gov,67320, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n28, Federal-gov,53147, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n23, Private,13769, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K\n44, Private,202872, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n19, State-gov,149528, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,12, United-States, <=50K\n37, Private,132879, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-not-inc,112362, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,38, United-States, <=50K\n56, Federal-gov,156229, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n44, Private,131650, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,54, United-States, >50K\n30, Private,154568, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,36, Vietnam, >50K\n23, Private,132300, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,124747, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,3103,0,40, United-States, >50K\n38, Private,276559, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,70, United-States, >50K\n32, Private,106014, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,50, United-States, >50K\n57, Self-emp-not-inc,135134, Masters,14, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K\n35, Private,86648, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n48, Self-emp-not-inc,107231, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n32, Local-gov,113838, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,99, United-States, <=50K\n76, Federal-gov,25319, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K\n57, Local-gov,190561, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, Black, Female,0,0,30, United-States, <=50K\n58, ?,150031, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,48343, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n50, Private,211116, 10th,6, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n38, Private,226311, HS-grad,9, Married-AF-spouse, Other-service, Wife, White, Female,0,0,25, United-States, <=50K\n53, Private,283743, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2002,40, United-States, <=50K\n59, Self-emp-not-inc,64102, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n23, Private,234663, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,247880, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,8614,0,40, United-States, >50K\n23, Private,615367, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,163090, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n44, Private,192225, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,370183, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,242482, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,169953, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Local-gov,144182, Preschool,1, Never-married, Adm-clerical, Own-child, Black, Female,0,0,25, United-States, <=50K\n38, Private,125933, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,27828,0,45, United-States, >50K\n26, Private,203777, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,37, United-States, <=50K\n39, Private,210991, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,472580, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K\n33, State-gov,200289, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,19, India, <=50K\n43, Private,289669, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,2547,40, United-States, >50K\n30, Private,110622, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, China, <=50K\n59, State-gov,139616, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n26, Private,39212, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n28, Private,51961, Some-college,10, Never-married, Tech-support, Own-child, Black, Male,0,0,24, United-States, <=50K\n48, Self-emp-not-inc,117849, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,50748, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,1506,0,35, United-States, <=50K\n41, Self-emp-not-inc,170214, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2179,40, United-States, <=50K\n20, Private,151790, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K\n49, Private,168211, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n37, State-gov,117651, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, <=50K\n18, Private,157131, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K\n61, Private,225970, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,177951, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, <=50K\n66, Private,134130, Bachelors,13, Widowed, Other-service, Not-in-family, White, Male,0,0,12, United-States, <=50K\n68, Private,191581, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,3273,0,40, United-States, <=50K\n27, Local-gov,199172, HS-grad,9, Married-civ-spouse, Protective-serv, Wife, White, Female,0,0,40, United-States, <=50K\n66, Self-emp-not-inc,262552, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,7, United-States, <=50K\n28, Private,66434, 10th,6, Never-married, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K\n26, Private,77661, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, ?,230856, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,192835, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n62, ?,181014, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,200445, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,1974,40, United-States, <=50K\n26, Self-emp-not-inc,37918, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K\n40, Private,111020, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,244665, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, Honduras, <=50K\n52, Private,312477, HS-grad,9, Widowed, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,243493, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,12, United-States, <=50K\n39, State-gov,152023, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,104193, HS-grad,9, Never-married, Other-service, Own-child, White, Female,114,0,40, United-States, <=50K\n47, Private,170850, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, <=50K\n33, Private,137088, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Ecuador, <=50K\n17, Private,340557, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n26, Private,298225, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,114150, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,194668, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,16, United-States, <=50K\n33, Private,188246, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K\n46, Federal-gov,330901, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,80165, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n48, Private,83444, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K\n29, Self-emp-not-inc,85572, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,5, United-States, <=50K\n40, Private,116632, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,139989, Bachelors,13, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K\n55, Private,135803, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0,1579,35, India, <=50K\n56, Private,75785, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,248612, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n36, Private,28572, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n26, Self-emp-not-inc,31143, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n37, Private,216924, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,44, United-States, >50K\n36, Private,549174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n23, Self-emp-not-inc,111296, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,50, Mexico, <=50K\n25, Private,208881, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n36, State-gov,243666, HS-grad,9, Divorced, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,327164, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, ?, <=50K\n39, Self-emp-inc,131288, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,5178,0,48, United-States, >50K\n35, Private,257416, Assoc-voc,11, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n33, Private,215288, 11th,7, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n31, Private,58582, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,46, United-States, <=50K\n49, Private,199378, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,22, United-States, <=50K\n34, Self-emp-not-inc,114185, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, ?, <=50K\n40, Private,137421, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,60, Trinadad&Tobago, <=50K\n27, Private,216481, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,196504, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,23, United-States, <=50K\n38, Private,357870, 12th,8, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,50, United-States, <=50K\n55, State-gov,256335, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,168191, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,70, Italy, <=50K\n40, Private,215596, Bachelors,13, Married-spouse-absent, Other-service, Not-in-family, Other, Male,0,0,40, Mexico, <=50K\n42, Private,184682, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,30, United-States, <=50K\n51, Private,171914, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,288229, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,50, Laos, <=50K\n30, State-gov,144064, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n70, ?,54849, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, >50K\n40, Private,141583, 10th,6, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,180985, Bachelors,13, Separated, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K\n24, Private,148709, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, ?,174626, 7th-8th,4, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,184801, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n52, Private,89054, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,147284, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,169973, Assoc-voc,11, Separated, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,222993, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,41099, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n31, Private,33117, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Private,162551, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, Hong, >50K\n49, Private,122066, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,2603,40, Greece, <=50K\n61, ?,42938, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,7, United-States, >50K\n46, Private,389843, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Germany, >50K\n37, Private,138940, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n56, Federal-gov,141877, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,172722, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n26, Self-emp-not-inc,118523, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,227886, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n36, Private,80743, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, South, <=50K\n52, Private,199688, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n40, Private,225823, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n21, Private,176486, HS-grad,9, Married-spouse-absent, Exec-managerial, Other-relative, White, Female,0,0,60, United-States, <=50K\n63, Private,175777, 10th,6, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n30, Private,295010, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,437825, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, Peru, <=50K\n50, Private,270194, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n41, Private,242089, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n39, Self-emp-inc,117555, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n23, Private,146499, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,48, United-States, <=50K\n52, Private,222405, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,2377,40, United-States, <=50K\n17, ?,216595, 11th,7, Never-married, ?, Own-child, Black, Female,0,0,20, United-States, <=50K\n46, Private,157991, Assoc-voc,11, Divorced, Tech-support, Unmarried, Black, Female,0,625,40, United-States, <=50K\n26, Private,373553, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,42, United-States, <=50K\n30, Private,194827, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n23, Private,60331, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n21, State-gov,96483, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,12, United-States, <=50K\n39, Private,211154, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n37, Local-gov,247750, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,204235, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K\n38, Private,197113, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,20, United-States, <=50K\n47, Private,178341, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,4064,0,60, United-States, <=50K\n20, Private,293297, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n35, Private,35330, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, State-gov,202056, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,14084,0,40, United-States, >50K\n32, Private,61898, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K\n42, Self-emp-inc,1097453, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n32, Private,176992, 10th,6, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n27, Private,295289, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,30, United-States, <=50K\n53, Self-emp-inc,298215, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n28, Self-emp-not-inc,209934, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, Mexico, <=50K\n26, Private,164938, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,423222, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n23, Private,124259, Some-college,10, Never-married, Protective-serv, Own-child, Black, Female,0,0,40, United-States, <=50K\n70, Self-emp-inc,232871, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K\n41, State-gov,73199, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n43, State-gov,27661, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n65, Private,461715, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,25, ?, <=50K\n40, Self-emp-not-inc,89413, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,40, United-States, <=50K\n64, Self-emp-not-inc,31826, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n40, Private,279679, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n43, Private,221172, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K\n50, Federal-gov,222020, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K\n19, ?,181265, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n32, Self-emp-not-inc,261056, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,2174,0,60, ?, <=50K\n32, Private,204792, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,384508, 11th,7, Divorced, Sales, Unmarried, White, Male,1506,0,50, Mexico, <=50K\n41, Private,288568, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,182714, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, England, <=50K\n20, Private,471452, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n45, State-gov,264052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,146659, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K\n24, Private,203027, Assoc-acdm,12, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,218309, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K\n28, Private,133625, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n35, Private,45937, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, ?,389850, HS-grad,9, Married-spouse-absent, ?, Unmarried, Black, Male,0,0,50, United-States, <=50K\n38, Federal-gov,201617, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Local-gov,114733, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K\n50, State-gov,97778, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,149507, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n35, Private,82622, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,48014, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, France, <=50K\n61, State-gov,162678, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,213842, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, United-States, <=50K\n61, Private,221447, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n18, Private,426836, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K\n31, Local-gov,206609, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,50276, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n20, Private,180497, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n35, Private,220585, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,202752, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n43, Private,75993, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n18, Private,170544, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n55, Private,115439, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K\n59, Private,24384, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,209067, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,65225, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n60, Federal-gov,27466, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, England, <=50K\n49, Federal-gov,179869, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,442131, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n61, Private,243283, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n64, Private,316627, 5th-6th,3, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n63, Private,208862, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Federal-gov,38645, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,141272, Bachelors,13, Never-married, Other-service, Own-child, Black, Female,0,0,30, United-States, <=50K\n41, State-gov,29324, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n18, ?,348588, 12th,8, Never-married, ?, Own-child, Black, Male,0,0,25, United-States, <=50K\n40, Private,124747, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,7298,0,40, United-States, >50K\n55, Self-emp-not-inc,477867, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,218361, 10th,6, Never-married, Other-service, Own-child, White, Female,0,1602,12, United-States, <=50K\n34, Self-emp-not-inc,156809, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,1504,60, United-States, <=50K\n24, Private,267945, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Private,35724, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n29, Private,187188, Masters,14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,60, United-States, <=50K\n52, Private,155983, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n57, Federal-gov,414994, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,103474, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,45, United-States, <=50K\n43, Private,211128, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n61, Private,203445, Some-college,10, Widowed, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n38, Private,38312, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,65, United-States, >50K\n51, Private,178241, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K\n40, Private,260761, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K\n41, Local-gov,36924, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,292590, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n28, Private,461929, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n59, Private,189664, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n32, State-gov,190577, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,344200, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,337494, Assoc-acdm,12, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K\n54, Self-emp-not-inc,52634, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,194901, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Male,0,2444,42, United-States, >50K\n20, Private,170091, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n27, ?,189399, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,205072, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n35, Private,310290, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, Black, Female,0,0,40, United-States, <=50K\n27, Private,134048, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n40, Private,91959, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,46, United-States, >50K\n34, Private,153942, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n34, Local-gov,234096, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,185330, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,25, United-States, <=50K\n28, Private,163772, HS-grad,9, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, United-States, <=50K\n65, Private,83800, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,27, United-States, <=50K\n61, Private,139391, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,16, United-States, <=50K\n18, Private,478380, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n35, Self-emp-inc,186845, Bachelors,13, Married-civ-spouse, Sales, Own-child, White, Male,5178,0,50, United-States, >50K\n45, Private,262802, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n68, ?,152157, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n25, Private,114483, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n48, Private,118023, Prof-school,15, Divorced, Sales, Not-in-family, White, Male,0,0,13, United-States, <=50K\n19, Private,220101, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,219424, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,50, United-States, >50K\n54, Private,186117, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n47, Self-emp-not-inc,479611, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n25, Private,80312, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,4865,0,40, United-States, <=50K\n30, Private,108386, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n67, ?,125926, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n35, Private,177102, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,190762, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,18, United-States, <=50K\n61, Private,180632, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,88019, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,32, United-States, <=50K\n50, Private,135339, 12th,8, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K\n32, Private,100662, 9th,5, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, Columbia, <=50K\n34, Private,183557, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,25, United-States, <=50K\n36, Private,160035, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,306790, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,269246, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,308334, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,19, United-States, <=50K\n58, Private,215190, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n27, Private,419146, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,75, Mexico, <=50K\n62, Private,176839, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,38, United-States, <=50K\n36, Self-emp-inc,184456, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,27828,0,55, United-States, >50K\n21, Local-gov,309348, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,594,0,4, United-States, <=50K\n41, Private,56795, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, England, <=50K\n28, Private,201861, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n33, Private,179509, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,291755, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n19, Private,243941, Some-college,10, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female,0,1721,25, United-States, <=50K\n76, Self-emp-not-inc,117169, 7th-8th,4, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,30, United-States, <=50K\n25, ?,100903, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, <=50K\n34, Private,159322, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n40, Private,262872, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,187052, 11th,7, Never-married, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n17, Private,277583, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n55, Private,169071, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n51, Local-gov,96190, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n26, Private,61603, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,0,40, Mexico, <=50K\n44, Private,43711, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K\n65, ?,197883, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,70, United-States, <=50K\n54, Private,99434, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n34, Self-emp-not-inc,177639, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,201723, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n26, Private,222248, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,70, United-States, <=50K\n39, Private,86143, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n46, ?,228620, 11th,7, Widowed, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n34, Private,346034, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, El-Salvador, <=50K\n59, Private,87510, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,37932, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K\n34, Private,185063, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n62, ?,125493, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,5178,0,40, Scotland, >50K\n51, Private,159755, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n34, Private,108837, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,110669, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n21, ?,220115, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n30, Self-emp-not-inc,45427, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,49, United-States, <=50K\n38, Private,154669, HS-grad,9, Separated, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n45, Private,261278, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,5178,0,40, Philippines, >50K\n23, Private,71864, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n34, Private,173495, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n22, Private,254293, 12th,8, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,111883, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n50, Private,146429, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,472807, 1st-4th,2, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,52, Mexico, <=50K\n28, Private,285294, Bachelors,13, Married-civ-spouse, Sales, Wife, Black, Female,15024,0,45, United-States, >50K\n23, Private,184665, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n35, Private,205852, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,83879, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n27, Private,178564, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n46, Self-emp-inc,168796, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n27, Private,269444, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,47353, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-inc,29254, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n33, Private,155343, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Private,234271, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,257849, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n23, Private,228230, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,47, United-States, <=50K\n36, Private,227615, 5th-6th,3, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,32, Mexico, <=50K\n29, Private,406826, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n50, Self-emp-not-inc,27539, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688,0,40, United-States, >50K\n19, Private,97261, 12th,8, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, ?,232022, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n52, Federal-gov,168539, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,515797, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,351381, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,161018, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n60, Private,26721, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,164123, 11th,7, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,98418, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K\n36, Private,29814, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,50, United-States, <=50K\n25, Private,254613, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, Cuba, <=50K\n49, Private,207677, 7th-8th,4, Divorced, Craft-repair, Not-in-family, White, Male,0,0,70, United-States, <=50K\n25, Self-emp-not-inc,217030, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n50, Private,171199, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,198270, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,43, United-States, <=50K\n28, ?,131310, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,79923, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K\n40, Self-emp-inc,475322, Bachelors,13, Separated, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n56, Private,134286, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n56, Self-emp-not-inc,73746, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,125525, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,42, United-States, <=50K\n38, ?,155676, HS-grad,9, Divorced, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n21, Private,304949, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K\n67, Private,150516, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,24, United-States, <=50K\n54, State-gov,249096, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,164127, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n59, Private,304779, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,157043, 11th,7, Widowed, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K\n30, Private,396538, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,29, United-States, <=50K\n42, Private,510072, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n64, ?,200017, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n61, ?,60641, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,45, United-States, <=50K\n26, Private,89326, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,200471, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,4064,0,40, United-States, <=50K\n78, Self-emp-not-inc,82815, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,3, United-States, >50K\n24, Self-emp-not-inc,117210, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n27, Private,202206, 11th,7, Separated, Farming-fishing, Other-relative, White, Male,0,0,40, Puerto-Rico, <=50K\n51, Private,123429, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n46, Private,353512, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n55, Self-emp-not-inc,26683, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n20, Private,204641, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,225053, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n36, ?,98776, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n19, Private,263932, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n30, Private,108247, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n31, Self-emp-not-inc,369648, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n26, Private,339324, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,96, United-States, <=50K\n59, ?,145574, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, >50K\n53, Private,317313, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n24, Local-gov,162919, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,186314, Some-college,10, Separated, Prof-specialty, Own-child, White, Male,0,0,54, United-States, <=50K\n36, Private,254202, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n39, Private,108140, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n53, Private,287317, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Male,0,0,32, United-States, <=50K\n75, Self-emp-inc,81534, HS-grad,9, Widowed, Sales, Other-relative, Asian-Pac-Islander, Male,0,0,35, United-States, >50K\n36, Private,35945, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n46, Self-emp-inc,204928, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-inc,208809, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n29, Private,133625, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n60, Private,71683, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,49, United-States, <=50K\n58, Private,570562, HS-grad,9, Widowed, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K\n67, Self-emp-not-inc,36876, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n35, Private,253006, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,38, United-States, >50K\n39, Self-emp-not-inc,50096, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K\n37, Private,336880, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n54, ?,135840, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n63, Self-emp-not-inc,168048, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n47, Private,187969, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n23, Private,117363, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n55, Private,256526, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,4865,0,45, United-States, <=50K\n49, Private,304416, 11th,7, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n39, Private,248011, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,40, United-States, >50K\n23, Private,229826, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,159796, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K\n44, Private,165346, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n25, Private,25386, Assoc-voc,11, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n35, Private,491000, Assoc-voc,11, Divorced, Prof-specialty, Own-child, Black, Male,0,0,40, United-States, <=50K\n23, Local-gov,247731, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, Cuba, <=50K\n48, Private,180532, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,189462, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Male,2176,0,40, United-States, <=50K\n44, Private,419134, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,170166, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, <=50K\n33, Self-emp-not-inc,173495, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n18, Private,423024, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n24, Private,72119, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,2202,0,30, United-States, <=50K\n32, Local-gov,19302, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, England, >50K\n24, State-gov,257621, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n44, Self-emp-inc,118212, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,70, United-States, >50K\n27, Private,259840, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n39, Private,115289, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, France, >50K\n26, Local-gov,159662, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,379798, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,227945, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,65, United-States, >50K\n41, State-gov,36999, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,75, United-States, >50K\n73, ?,131982, Bachelors,13, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,5, Vietnam, <=50K\n32, Self-emp-inc,124052, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n56, Local-gov,273084, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n59, Private,170104, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n44, Private,96249, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n35, Private,140915, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,1590,40, South, <=50K\n52, Private,230657, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,3781,0,40, Columbia, <=50K\n30, Private,195576, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,3325,0,50, United-States, <=50K\n23, Private,117767, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,112763, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,8614,0,43, United-States, >50K\n61, Private,79827, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,103925, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n68, Private,161744, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,16, United-States, <=50K\n41, Private,106679, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,27828,0,50, United-States, >50K\n42, Self-emp-not-inc,196514, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, ?,61985, 9th,5, Separated, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K\n19, Private,157605, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,137367, 11th,7, Married-spouse-absent, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n40, Self-emp-inc,110862, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2377,50, United-States, <=50K\n32, Private,74883, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n51, Self-emp-inc,98642, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,14084,0,40, United-States, >50K\n44, Local-gov,144778, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,177787, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,30, England, <=50K\n30, ?,103651, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K\n44, Private,162108, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n24, Private,217602, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,473133, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n17, Private,113301, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, ?, <=50K\n61, Private,80896, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, India, >50K\n30, Local-gov,168387, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,38950, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,107801, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n49, Private,191277, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,205359, Assoc-acdm,12, Widowed, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n39, ?,240226, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K\n34, Private,203357, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n52, Local-gov,153064, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,202959, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,105150, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n19, Private,238474, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,1085515, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n25, Private,82560, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,43, United-States, <=50K\n71, Private,55965, 7th-8th,4, Widowed, Transport-moving, Not-in-family, White, Male,0,0,10, United-States, <=50K\n27, Private,161087, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K\n28, Private,261278, Assoc-voc,11, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n54, Private,182187, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, Black, Male,15024,0,38, Jamaica, >50K\n18, Private,138917, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,10, United-States, <=50K\n49, Private,200198, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n36, Private,205359, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n57, Private,250201, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K\n56, Federal-gov,67153, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Portugal, >50K\n17, Private,244523, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n30, Private,236599, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,108713, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,177147, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n61, Private,129246, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n50, ?,222381, Some-college,10, Divorced, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, Private,145111, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n44, Private,62258, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, State-gov,108293, Masters,14, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K\n61, ?,167284, 7th-8th,4, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n25, Private,97789, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K\n34, Private,111415, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K\n38, Private,374524, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,287244, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n17, ?,341395, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,20, United-States, <=50K\n48, Private,278039, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,98360, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,317032, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n55, State-gov,294395, Assoc-voc,11, Widowed, Prof-specialty, Unmarried, White, Female,6849,0,40, United-States, <=50K\n41, Self-emp-not-inc,240900, HS-grad,9, Divorced, Farming-fishing, Other-relative, White, Male,0,0,20, United-States, <=50K\n45, Private,32896, 5th-6th,3, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,35, United-States, <=50K\n49, Private,97411, 7th-8th,4, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,45, Laos, <=50K\n19, Private,72355, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n39, Private,342448, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n43, Private,187702, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,2174,0,45, United-States, <=50K\n42, Private,303388, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K\n17, Private,112291, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K\n30, Private,208668, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,25, United-States, <=50K\n61, Local-gov,28375, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K\n48, Private,207277, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n60, ?,88675, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,47857, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n27, Private,372500, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, Mexico, <=50K\n24, Private,190968, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n41, Private,37997, 12th,8, Divorced, Transport-moving, Not-in-family, White, Male,0,0,84, United-States, >50K\n42, Private,257328, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n34, Private,127610, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K\n22, ?,139324, 9th,5, Never-married, ?, Unmarried, Black, Female,0,0,36, United-States, <=50K\n47, Private,164423, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,43, United-States, <=50K\n50, Private,104501, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,1980,40, United-States, <=50K\n30, Private,56121, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,296212, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n31, Private,157640, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n44, Private,222504, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,45, United-States, >50K\n34, Private,261023, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1651,38, United-States, <=50K\n52, Private,146567, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Male,14344,0,40, United-States, >50K\n34, Private,116910, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n31, Private,132601, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n68, Private,185537, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n22, Private,500720, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K\n42, Private,182108, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n37, Private,231491, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n36, Self-emp-not-inc,239415, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n38, Private,179262, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n72, Without-pay,121004, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, United-States, <=50K\n40, Private,252392, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n19, Private,163578, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n55, Private,143266, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Hungary, >50K\n30, Private,285902, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,113094, Bachelors,13, Separated, Adm-clerical, Unmarried, White, Female,0,1092,40, United-States, <=50K\n29, Private,278637, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,3103,0,45, United-States, >50K\n41, Private,174540, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,4, United-States, <=50K\n29, Private,188729, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n24, Private,72143, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n46, Self-emp-not-inc,328216, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n44, Private,165815, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n17, Private,317702, 10th,6, Never-married, Sales, Own-child, Black, Female,0,0,15, United-States, <=50K\n35, Private,215323, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n38, Private,192939, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n36, Private,156352, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,155066, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K\n38, Self-emp-not-inc,152621, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K\n19, Private,298891, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,40, Honduras, <=50K\n30, Private,193298, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n36, Local-gov,150309, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n27, Private,384308, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n27, Private,305647, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n66, ?,182378, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K\n65, Federal-gov,23494, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,2174,40, United-States, >50K\n37, Private,421633, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, >50K\n17, Private,57723, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K\n19, ?,307837, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n57, Private,103540, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, <=50K\n54, Self-emp-not-inc,136224, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n21, Private,231573, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,242804, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,163671, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,287701, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, >50K\n31, Private,187560, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n41, Private,222504, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K\n20, Private,41356, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,59335, Bachelors,13, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,15, United-States, <=50K\n62, Private,84756, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K\n41, Private,407425, 12th,8, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n37, Private,162424, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n53, Self-emp-not-inc,175456, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n28, Private,52603, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,250630, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n46, Self-emp-not-inc,233974, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n28, Private,376302, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K\n50, Private,195638, 10th,6, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,225775, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, Mexico, <=50K\n84, Private,388384, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,10, United-States, <=50K\n48, Self-emp-not-inc,219021, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n61, Self-emp-not-inc,168654, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K\n44, Private,180609, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K\n32, Private,114746, HS-grad,9, Separated, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Female,0,0,60, South, <=50K\n25, Private,178037, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K\n47, State-gov,160045, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,268524, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n37, Private,174844, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,17, United-States, <=50K\n28, Private,82488, HS-grad,9, Divorced, Tech-support, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n34, Private,221167, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n32, Self-emp-not-inc,48014, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n24, Private,217226, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n22, ?,177902, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,25, United-States, <=50K\n30, Private,39386, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,99, United-States, <=50K\n56, Private,37394, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,115426, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,114158, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,26, United-States, <=50K\n40, Private,119101, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,68, United-States, >50K\n28, Private,360527, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n39, Private,225544, 12th,8, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,108438, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,230315, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Dominican-Republic, <=50K\n32, Private,158002, Some-college,10, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,55, Ecuador, <=50K\n37, Private,179468, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n71, Private,99894, 5th-6th,3, Widowed, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female,0,0,75, United-States, <=50K\n30, Private,270889, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,42279, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n53, Federal-gov,167380, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1740,50, United-States, <=50K\n42, Private,274913, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,45, United-States, <=50K\n44, Private,35910, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,56, United-States, >50K\n26, Private,68001, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,27162, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K\n37, Self-emp-not-inc,286146, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Local-gov,95462, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,50103, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n54, Private,511668, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,43, United-States, >50K\n38, Self-emp-inc,189679, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n29, Private,115064, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, State-gov,215443, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,38, United-States, <=50K\n32, Private,174789, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,50, United-States, <=50K\n24, Private,91999, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,20, United-States, <=50K\n59, Federal-gov,100931, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n56, Self-emp-not-inc,119069, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-not-inc,277488, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,84, United-States, <=50K\n35, Private,265662, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,114591, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,40, United-States, >50K\n24, Private,227594, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n30, Private,129707, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1848,40, United-States, >50K\n61, ?,175032, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,133569, 1st-4th,2, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n20, Local-gov,308654, Some-college,10, Never-married, Protective-serv, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K\n36, Private,156084, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Federal-gov,380127, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,210781, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,189759, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,2001,40, United-States, <=50K\n34, Private,258675, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,223367, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n42, ?,204817, 9th,5, Never-married, ?, Own-child, Black, Male,0,0,35, United-States, <=50K\n23, Private,409230, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K\n46, Federal-gov,308077, Prof-school,15, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, Germany, >50K\n60, Private,159049, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, Germany, >50K\n40, Private,353142, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n55, Private,143030, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,304857, Masters,14, Separated, Tech-support, Not-in-family, White, Male,27828,0,40, United-States, >50K\n28, Private,30912, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,43, United-States, <=50K\n55, Private,125000, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n47, Private,181363, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,338620, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, >50K\n32, Private,115989, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,60, United-States, <=50K\n38, Private,111128, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n61, Self-emp-not-inc,201273, Some-college,10, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n62, Self-emp-inc,137354, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n29, Private,133420, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n26, Private,192208, HS-grad,9, Never-married, Protective-serv, Not-in-family, Black, Female,0,0,32, United-States, <=50K\n19, Private,220001, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K\n40, Private,352612, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,169426, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K\n42, Private,319016, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,2885,0,45, United-States, <=50K\n55, Private,119751, Masters,14, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,0,40, Thailand, <=50K\n55, Private,202220, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,2407,0,35, United-States, <=50K\n43, Self-emp-not-inc,99220, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,111275, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Federal-gov,261241, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,261725, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n36, Private,182013, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,40666, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,216461, Some-college,10, Divorced, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n60, Private,320376, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n35, Private,282951, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n36, State-gov,166697, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Private,290856, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,455361, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Guatemala, <=50K\n51, Private,82783, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,56536, 11th,7, Never-married, Sales, Own-child, White, Female,1055,0,18, India, <=50K\n33, Self-emp-not-inc,109959, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K\n50, Private,177927, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,192337, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,236272, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n26, Private,33610, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,209483, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,47, United-States, <=50K\n26, Private,247006, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, United-States, <=50K\n30, Local-gov,311913, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n39, ?,204756, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n33, Local-gov,300681, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n42, State-gov,24264, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,0,0,38, United-States, <=50K\n28, Private,266070, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n20, Private,226978, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n66, Local-gov,362165, Bachelors,13, Widowed, Prof-specialty, Not-in-family, Black, Female,0,2206,25, United-States, <=50K\n31, Private,341672, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,50, India, <=50K\n36, Private,179488, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, Canada, <=50K\n39, Federal-gov,243872, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n52, Private,259583, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,159822, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, Poland, >50K\n27, Private,219863, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,206947, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n21, Private,245572, 9th,5, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n25, Private,38488, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Private,182504, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n38, Private,193815, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, Italy, <=50K\n51, ?,521665, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K\n29, Private,46442, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,50, United-States, >50K\n45, Private,60267, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n59, Private,264357, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n41, Private,191814, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,107882, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n43, Private,174575, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n17, Private,143331, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n32, Private,126132, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n42, Private,198619, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n68, Private,211287, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2392,40, United-States, >50K\n55, Federal-gov,238192, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,1887,40, United-States, >50K\n43, Private,257780, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,183355, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,148429, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,71221, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,60, United-States, <=50K\n21, Self-emp-not-inc,236769, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,32146, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,347491, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,1876,46, United-States, <=50K\n34, Private,180714, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,2179,40, United-States, <=50K\n57, ?,188877, 9th,5, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,306747, Bachelors,13, Divorced, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n21, State-gov,478457, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,12, United-States, <=50K\n25, Private,248990, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n51, Self-emp-inc,46281, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n35, Private,148015, Bachelors,13, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K\n19, Private,278115, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n27, Private,190525, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,55, United-States, >50K\n34, Private,176673, Some-college,10, Never-married, Sales, Other-relative, Black, Female,0,0,35, United-States, <=50K\n33, ?,202366, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,32, United-States, <=50K\n36, Private,238415, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,37939, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n60, Self-emp-not-inc,35649, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,383493, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n47, Federal-gov,204900, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K\n42, Private,20809, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,75, United-States, >50K\n34, Private,148207, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n21, Private,200153, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K\n30, Private,169496, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,15, United-States, >50K\n53, Private,22978, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n34, Private,366898, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, <=50K\n37, Private,324947, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,321577, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n31, Private,241360, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,207564, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n33, Private,220860, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n41, Local-gov,336571, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n23, State-gov,56402, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n65, Private,180280, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n30, Private,81282, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Private,86332, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,4064,0,55, United-States, <=50K\n30, Local-gov,27051, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Private,287647, Masters,14, Divorced, Sales, Not-in-family, White, Male,4787,0,45, United-States, >50K\n37, Self-emp-not-inc,183735, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,3137,0,30, United-States, <=50K\n42, Private,100800, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n62, Private,155094, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K\n67, ?,102693, HS-grad,9, Widowed, ?, Not-in-family, White, Male,1086,0,35, United-States, <=50K\n31, Private,151053, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,40, United-States, >50K\n50, Private,548361, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, >50K\n33, Private,173858, Bachelors,13, Married-civ-spouse, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n27, Private,347153, Some-college,10, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K\n31, Private,319146, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, Mexico, >50K\n35, Private,197719, Some-college,10, Never-married, Machine-op-inspct, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n55, Private,197114, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,6, United-States, >50K\n54, Self-emp-not-inc,109418, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1977,35, United-States, >50K\n56, Private,182062, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, >50K\n21, Private,184543, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, Private,175558, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,20, Germany, <=50K\n46, Private,122026, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,340543, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n43, Private,101950, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n40, Private,179508, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K\n52, Private,225317, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n59, Local-gov,53304, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n36, Local-gov,282602, Assoc-voc,11, Separated, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n33, Private,184016, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,250165, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,196467, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,35, United-States, <=50K\n59, ?,220783, 10th,6, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,178780, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n62, Private,65868, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,43, United-States, <=50K\n54, Private,35459, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,98986, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K\n36, Private,282092, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,140764, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,45, United-States, <=50K\n30, Private,33124, HS-grad,9, Separated, Farming-fishing, Unmarried, White, Female,0,0,14, United-States, <=50K\n46, Private,90042, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,102986, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,40, Laos, >50K\n21, Private,214387, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,64, United-States, <=50K\n39, Private,180667, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,278329, HS-grad,9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K\n32, Private,184440, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464,0,40, United-States, <=50K\n23, Private,140462, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,202565, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Italy, <=50K\n62, ?,181063, 10th,6, Widowed, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n28, Private,287268, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n28, Private,215955, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,82552, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,41745, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,73587, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n54, Private,263925, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n19, Private,196119, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n27, Private,284741, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n30, Private,293936, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,50, ?, <=50K\n35, Private,340428, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n66, ?,175891, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n19, Local-gov,276973, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K\n30, Private,161599, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,144064, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,236391, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,224943, Assoc-voc,11, Never-married, Sales, Other-relative, Black, Male,0,0,65, United-States, <=50K\n44, Private,151294, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n52, Private,68982, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n30, Private,241885, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,189461, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K\n19, Self-emp-not-inc,36012, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n33, Private,85355, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K\n20, Private,157595, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Private,197286, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,362747, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K\n24, Private,395297, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n31, Self-emp-not-inc,144949, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n20, ?,163665, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n32, Private,141490, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n29, Private,147889, Assoc-acdm,12, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K\n61, Private,232808, 10th,6, Divorced, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K\n48, Private,70668, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,50, United-States, <=50K\n29, Federal-gov,33315, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, ?,63526, 12th,8, Never-married, ?, Not-in-family, Black, Male,0,0,52, United-States, <=50K\n34, Private,591711, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,48, ?, <=50K\n22, Private,200318, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K\n32, Private,97723, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,40, United-States, <=50K\n38, Private,109231, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,102889, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n26, Private,167106, HS-grad,9, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, Hong, <=50K\n35, Private,182898, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,8614,0,40, United-States, >50K\n62, Private,197918, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,67386, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, Private,126592, HS-grad,9, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n34, Private,49469, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,99999,0,50, United-States, >50K\n37, Self-emp-not-inc,119929, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n63, Private,158199, 1st-4th,2, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,44, Portugal, <=50K\n35, Private,341102, 9th,5, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n55, Private,101524, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,202872, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n25, Private,195201, HS-grad,9, Married-civ-spouse, Sales, Husband, Other, Male,0,0,50, United-States, <=50K\n51, Private,128272, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,263094, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n54, Self-emp-inc,357596, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,55, United-States, >50K\n47, Local-gov,102628, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,171114, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Private,216414, Assoc-voc,11, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, Private,127753, 12th,8, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n19, Private,282698, 7th-8th,4, Never-married, Adm-clerical, Own-child, White, Male,0,0,80, United-States, <=50K\n35, Private,139364, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n36, Local-gov,312785, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Male,0,0,35, United-States, <=50K\n18, Private,92864, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n46, Local-gov,175428, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,104223, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K\n29, Private,144784, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n65, Private,178934, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,20, Jamaica, <=50K\n41, Private,211253, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n34, Private,133122, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,103540, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n39, State-gov,172700, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n21, Private,282484, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n31, Private,323055, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n33, State-gov,291494, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n28, Private,214702, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n32, Private,116055, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,2977,0,35, United-States, <=50K\n32, Private,226696, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K\n31, Private,216827, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,153132, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n48, Private,307440, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,45, Philippines, >50K\n27, Private,278122, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,122195, HS-grad,9, Widowed, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K\n34, Self-emp-not-inc,156890, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,36877, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K\n25, Private,131178, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,23, United-States, <=50K\n34, Self-emp-inc,62396, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,62, United-States, >50K\n33, Private,73054, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n21, Private,96844, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K\n22, Private,324922, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K\n61, Private,130684, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, <=50K\n40, Private,178983, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, >50K\n58, Private,81038, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,12, United-States, <=50K\n30, Private,151967, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,58, United-States, <=50K\n24, Private,278107, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K\n52, Self-emp-not-inc,183146, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n50, Private,183638, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,247892, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,30, United-States, <=50K\n22, Private,221480, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n32, Private,118551, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, ?, >50K\n21, Private,518530, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,193787, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,50, United-States, <=50K\n34, Self-emp-inc,157466, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n48, Private,141511, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n61, ?,158712, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,99, United-States, <=50K\n21, Private,252253, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n20, Private,200450, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,52, United-States, <=50K\n30, State-gov,343789, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,277647, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n44, Private,291566, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,60, United-States, <=50K\n29, Private,151382, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,221167, Prof-school,15, Divorced, Tech-support, Not-in-family, White, Female,0,0,35, United-States, <=50K\n35, Private,196178, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,302422, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,37379, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n37, Self-emp-not-inc,82540, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K\n33, Self-emp-not-inc,182926, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, ?, <=50K\n44, Private,159911, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,55, United-States, <=50K\n34, Private,212781, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n28, Local-gov,207213, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,5, United-States, <=50K\n30, Private,200192, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,45, United-States, <=50K\n41, Local-gov,180096, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n23, Private,192812, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,105908, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,70, United-States, <=50K\n48, Private,373366, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,3781,0,50, Mexico, <=50K\n26, State-gov,234190, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K\n32, Private,260868, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K\n26, Private,109097, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K\n36, Private,171393, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,55, United-States, >50K\n49, Private,209146, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n33, ?,289046, HS-grad,9, Divorced, ?, Not-in-family, Black, Male,0,1741,40, United-States, <=50K\n54, Private,172281, Masters,14, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, >50K\n36, Private,73023, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K\n41, Private,122626, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,48, United-States, <=50K\n27, Private,113635, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n68, ?,257269, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,2377,35, United-States, >50K\n21, ?,191806, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,75, United-States, <=50K\n56, ?,35723, HS-grad,9, Divorced, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,30759, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n46, Private,105327, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, ?,376058, 9th,5, Never-married, ?, Own-child, White, Female,0,0,45, United-States, <=50K\n43, Private,219307, 9th,5, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n46, Private,208067, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,78631, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n19, Private,210308, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n67, Local-gov,190661, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,7896,0,50, United-States, >50K\n31, Private,594187, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,228476, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n21, Private,126613, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,30267, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,216811, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,16, United-States, <=50K\n62, Local-gov,115763, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n31, Local-gov,199368, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,50, United-States, >50K\n52, Private,159755, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n39, Self-emp-not-inc,188335, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,417668, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K\n55, ?,141807, HS-grad,9, Never-married, ?, Not-in-family, White, Male,13550,0,40, United-States, >50K\n38, Private,296317, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n36, Private,164898, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,452406, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,15, United-States, <=50K\n27, Private,42696, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,262994, Some-college,10, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n43, State-gov,167298, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n51, Private,103529, 11th,7, Divorced, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n47, Private,97883, Bachelors,13, Widowed, Priv-house-serv, Unmarried, White, Female,25236,0,35, United-States, >50K\n49, State-gov,269417, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Female,0,2258,50, United-States, >50K\n34, Private,199539, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n19, ?,39460, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K\n79, Federal-gov,62176, Doctorate,16, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,6, United-States, >50K\n28, State-gov,239130, Some-college,10, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-inc,151089, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n21, Private,331611, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n31, Self-emp-not-inc,203463, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,151518, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n23, Self-emp-inc,39844, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n32, Private,299635, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, <=50K\n67, Private,123393, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,209538, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n35, Self-emp-not-inc,238802, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,499197, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,200220, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,114059, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n18, Private,434430, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n47, Private,185385, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,24, United-States, <=50K\n22, Private,225156, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,377931, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2377,48, United-States, <=50K\n27, ?,133359, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,50, ?, <=50K\n28, Private,226891, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,30, ?, <=50K\n32, Private,201988, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,4508,0,40, ?, <=50K\n40, Private,287008, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,55, Germany, >50K\n23, Private,151910, Bachelors,13, Never-married, Machine-op-inspct, Own-child, White, Female,0,1719,40, United-States, <=50K\n25, Private,231714, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-inc,178510, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,2258,60, United-States, <=50K\n43, Private,178866, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,25, United-States, >50K\n31, Private,110643, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,55, United-States, >50K\n33, Private,148261, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,217902, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n29, Self-emp-not-inc,77207, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n32, ?,377017, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n78, Private,184759, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,1797,0,15, United-States, <=50K\n64, Self-emp-inc,80333, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n58, Private,265086, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n55, ?,102058, 12th,8, Widowed, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K\n20, Private,333843, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n35, Private,296478, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n27, Local-gov,116662, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,353298, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,99999,0,50, United-States, >50K\n42, Private,142424, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Local-gov,200808, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, Puerto-Rico, <=50K\n29, Private,119052, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n33, Private,168981, 1st-4th,2, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K\n44, Private,151780, Some-college,10, Widowed, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n70, Private,237065, 5th-6th,3, Widowed, Other-service, Other-relative, White, Female,2346,0,40, ?, <=50K\n25, Private,509866, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,78, United-States, <=50K\n24, State-gov,249385, Bachelors,13, Never-married, Adm-clerical, Other-relative, White, Female,0,0,10, United-States, <=50K\n42, State-gov,109462, Bachelors,13, Divorced, Adm-clerical, Unmarried, Black, Female,2977,0,40, United-States, <=50K\n53, Private,250034, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, >50K\n39, Private,249720, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,60, United-States, <=50K\n72, Self-emp-not-inc,258761, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-inc,64048, 9th,5, Never-married, Sales, Own-child, White, Female,0,0,44, Portugal, <=50K\n25, State-gov,153534, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,193815, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n27, Private,255582, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,204527, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n64, Self-emp-not-inc,159938, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2635,0,24, Italy, <=50K\n29, Self-emp-not-inc,229341, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n50, Private,128143, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,175479, 5th-6th,3, Never-married, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K\n18, Private,301814, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n20, Private,238917, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,32, Mexico, <=50K\n32, Private,205581, Some-college,10, Separated, Tech-support, Unmarried, White, Female,0,0,50, United-States, <=50K\n45, Private,340341, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n48, Private,147860, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female,0,0,40, United-States, <=50K\n20, ?,121023, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n23, Private,259496, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Federal-gov,190228, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,48, United-States, >50K\n43, Private,180599, Bachelors,13, Separated, Exec-managerial, Unmarried, White, Male,8614,0,40, United-States, >50K\n44, Private,116358, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n47, Self-emp-not-inc,180446, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, >50K\n47, Private,264244, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n46, Local-gov,197988, 1st-4th,2, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K\n19, Private,206599, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Private,313146, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-inc,99212, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n37, Private,340599, 11th,7, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Private,62932, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,44861, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,53893, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n53, Self-emp-inc,152810, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,45, United-States, >50K\n47, Local-gov,128401, Doctorate,16, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,336951, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n60, Self-emp-not-inc,95445, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3137,0,46, United-States, <=50K\n43, Private,54611, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,315984, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,50, United-States, >50K\n28, Private,210313, 10th,6, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K\n19, Private,181020, 11th,7, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,30, United-States, <=50K\n51, Self-emp-not-inc,120781, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Other, Male,99999,0,70, India, >50K\n19, Private,256979, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,35, United-States, <=50K\n64, Private,47298, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n44, Private,125461, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n21, Private,209955, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K\n33, Private,182246, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n63, Private,76860, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n44, ?,91949, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n44, Local-gov,136986, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,35, United-States, >50K\n28, Federal-gov,183445, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,70, Puerto-Rico, <=50K\n24, Private,130741, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Federal-gov,191878, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K\n21, ?,233923, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,24, United-States, <=50K\n20, Private,48121, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,304302, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n34, Federal-gov,284703, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,52, United-States, <=50K\n17, Private,401198, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n35, Private,243357, 11th,7, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n26, Private,32276, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,110538, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,70, United-States, <=50K\n25, Private,257310, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,411950, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n52, Local-gov,392668, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n43, Self-emp-not-inc,52498, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K\n36, Private,223433, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n37, Private,87076, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n58, Private,224854, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,193379, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n54, Private,98436, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n42, ?,116632, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K\n65, Self-emp-inc,210381, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,65, United-States, >50K\n44, Private,90688, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0,0,45, Laos, <=50K\n61, Private,229744, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K\n29, Private,59732, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n34, Private,192900, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n24, State-gov,90046, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, Canada, <=50K\n40, Private,272960, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,42, United-States, >50K\n42, Self-emp-inc,152071, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Cuba, >50K\n50, Private,301583, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, ?,171964, HS-grad,9, Never-married, ?, Own-child, White, Female,0,1602,20, United-States, <=50K\n49, Private,315984, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,241962, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,131591, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,45, United-States, <=50K\n70, Self-emp-inc,207938, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,5, United-States, <=50K\n51, Private,53197, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,121023, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,287229, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n22, Private,163911, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n31, Private,191834, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,204734, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,220978, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n39, Private,365739, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,50103, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,283293, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,194534, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,99999,0,60, United-States, >50K\n19, Private,263338, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n36, ?,504871, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,348592, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, <=50K\n28, Private,173944, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,226135, 9th,5, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K\n32, Private,172375, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K\n57, Self-emp-inc,127728, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K\n47, Private,347025, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,191335, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, <=50K\n21, Private,247779, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,38, United-States, <=50K\n25, State-gov,262664, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,95855, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,74501, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n43, Private,245317, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n61, Private,29059, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,2754,25, United-States, <=50K\n56, Private,200316, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K\n35, Private,198341, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n59, Private,100453, 7th-8th,4, Separated, Other-service, Own-child, Black, Female,0,0,38, United-States, <=50K\n44, Self-emp-not-inc,343190, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,55, United-States, >50K\n47, Private,235683, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,83237, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n64, Private,88470, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,198801, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n53, Private,168107, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,196193, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n30, ?,205418, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K\n46, Private,695411, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K\n45, Self-emp-inc,139268, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n44, Federal-gov,192771, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n59, Self-emp-inc,122390, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,48, United-States, >50K\n65, Self-emp-inc,184965, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K\n23, Private,180837, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n33, Private,159548, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K\n34, Private,110554, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n38, Private,103474, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n62, Private,178249, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n21, Private,138768, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n41, Private,321824, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,8, United-States, <=50K\n35, Private,244803, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Peru, <=50K\n62, Local-gov,206063, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K\n53, Private,167651, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n69, State-gov,163689, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, United-States, <=50K\n19, Self-emp-not-inc,45546, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K\n47, Private,420986, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n52, Self-emp-inc,68015, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,90, United-States, >50K\n54, Private,175594, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n58, ?,148673, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K\n30, Private,206322, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,73, United-States, >50K\n39, Private,272338, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,25, United-States, <=50K\n73, Private,105886, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,1173,0,75, United-States, <=50K\n64, Private,312498, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,177675, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,152810, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,319122, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,212304, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n53, Private,208321, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,1740,40, United-States, <=50K\n39, Private,240841, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n49, Private,208978, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,16, United-States, <=50K\n23, Local-gov,442359, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1092,40, United-States, <=50K\n28, Private,198197, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K\n46, Private,261059, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n40, Private,72791, Some-college,10, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n24, Private,275395, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n20, ?,195767, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,462966, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,8, El-Salvador, <=50K\n24, ?,265434, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,31269, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n33, Local-gov,246291, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,46, United-States, <=50K\n54, Federal-gov,128378, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,231180, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n31, Local-gov,206297, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n47, Self-emp-inc,337050, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,193075, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n33, Local-gov,169652, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Male,0,1669,55, United-States, <=50K\n35, Private,35945, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n20, ?,141453, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K\n36, Private,252231, Preschool,1, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, Puerto-Rico, <=50K\n30, Private,128016, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n39, Private,150057, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n25, Private,258276, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n40, Private,188465, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n25, Self-emp-inc,161007, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,403468, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Mexico, <=50K\n53, Federal-gov,181677, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,120243, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n41, Private,157025, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K\n25, Private,306908, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n66, Self-emp-not-inc,28061, 7th-8th,4, Widowed, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K\n53, Private,95540, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,1471,0,40, United-States, <=50K\n27, Private,135001, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,293398, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,185106, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,245790, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,80, United-States, <=50K\n26, Private,134004, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n26, Private,205036, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,42, United-States, <=50K\n26, Private,244495, 9th,5, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n38, Private,159179, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,405155, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n34, Private,177437, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,45, United-States, >50K\n32, Federal-gov,402361, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,184553, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,302626, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,99138, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n39, Private,112731, HS-grad,9, Divorced, Other-service, Not-in-family, Other, Female,0,0,40, Dominican-Republic, <=50K\n35, Private,192923, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2377,40, United-States, <=50K\n18, Private,761006, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n75, ?,125784, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n28, Private,182344, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,117012, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n39, Federal-gov,30673, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n31, Federal-gov,484669, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, State-gov,314052, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n43, State-gov,38537, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,38, ?, <=50K\n27, Private,165412, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,198341, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1902,55, India, >50K\n46, Private,116635, Bachelors,13, Separated, Prof-specialty, Unmarried, Black, Female,0,0,36, United-States, <=50K\n20, Private,185452, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Private,118686, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K\n69, Private,76939, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Federal-gov,160646, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K\n49, State-gov,126754, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K\n20, Private,211049, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,30, United-States, <=50K\n52, Private,311931, 5th-6th,3, Married-civ-spouse, Sales, Wife, White, Female,0,0,15, El-Salvador, <=50K\n33, Private,283602, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,59, Mexico, <=50K\n18, Private,155021, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,6, United-States, <=50K\n55, Self-emp-not-inc,100569, HS-grad,9, Separated, Farming-fishing, Unmarried, White, Female,0,0,55, United-States, <=50K\n61, Private,380462, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K\n61, Federal-gov,221943, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,9386,0,40, United-States, >50K\n39, Private,114544, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, >50K\n30, Private,248584, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,227468, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n36, Private,66173, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,0,0,15, United-States, <=50K\n34, Private,107624, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n53, Private,70387, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,4386,0,40, India, >50K\n38, Private,423616, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,36, United-States, >50K\n46, Private,98637, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n27, Local-gov,216013, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,210926, 11th,7, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, Nicaragua, <=50K\n60, Local-gov,255711, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, >50K\n23, Private,77581, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n29, Private,152461, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,14344,0,50, United-States, >50K\n22, Private,203263, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n25, Private,261519, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n29, Private,91189, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n90, Federal-gov,195433, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K\n37, Local-gov,272471, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,311524, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,38, United-States, <=50K\n18, Private,151386, HS-grad,9, Married-spouse-absent, Other-service, Own-child, Black, Male,0,0,40, Jamaica, <=50K\n35, Private,187625, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,65, United-States, <=50K\n50, Private,108933, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,2885,0,40, United-States, <=50K\n54, Private,135388, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n43, Private,169383, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n28, Self-emp-inc,191129, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, >50K\n51, Private,467611, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n31, Private,373185, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,42, Mexico, <=50K\n69, Private,130060, HS-grad,9, Separated, Transport-moving, Unmarried, Black, Female,2387,0,40, United-States, <=50K\n57, Private,199934, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n71, ?,116165, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,14, Canada, <=50K\n28, Private,42881, 10th,6, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n28, ?,174666, 10th,6, Separated, ?, Not-in-family, White, Male,0,0,80, United-States, <=50K\n25, Private,169759, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,95, United-States, <=50K\n49, Self-emp-not-inc,181547, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, Columbia, <=50K\n52, Private,95704, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,237432, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K\n32, Private,226267, 5th-6th,3, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, El-Salvador, <=50K\n31, Private,159979, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,50, United-States, <=50K\n30, Private,203488, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n24, Private,403671, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n45, Private,192323, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,66, Yugoslavia, <=50K\n30, Private,167832, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,145166, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n42, State-gov,155657, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,25, United-States, <=50K\n49, Private,116789, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,39234, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n25, Private,124111, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n41, Private,172828, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, Outlying-US(Guam-USVI-etc), <=50K\n55, Private,143372, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,265807, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137,0,50, United-States, <=50K\n25, State-gov,218184, Bachelors,13, Never-married, Protective-serv, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n32, Private,154087, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n29, Federal-gov,440647, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n37, Private,193952, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, ?, <=50K\n52, Private,125932, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,284652, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n21, ?,214635, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,24, United-States, <=50K\n43, Private,173316, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, State-gov,65390, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, ?, <=50K\n40, Self-emp-inc,45054, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,185042, 1st-4th,2, Separated, Priv-house-serv, Other-relative, White, Female,0,0,40, Mexico, <=50K\n35, Private,117381, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,258666, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,1974,40, United-States, <=50K\n35, Private,179668, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,127277, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K\n26, Private,192022, Bachelors,13, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,99551, Bachelors,13, Widowed, Sales, Unmarried, White, Female,0,0,15, United-States, <=50K\n51, Private,208899, Bachelors,13, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n35, Private,287658, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,30, Jamaica, <=50K\n31, Private,196125, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,275051, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,8, United-States, <=50K\n38, Private,23892, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n39, Federal-gov,376455, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,50, United-States, >50K\n29, Private,267989, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n39, Private,30269, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,204235, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n46, Local-gov,209057, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n73, Private,349347, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, United-States, <=50K\n47, Local-gov,154033, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,1876,40, United-States, <=50K\n28, Private,124680, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,70, United-States, <=50K\n27, Private,132805, 10th,6, Never-married, Sales, Other-relative, White, Male,0,1980,40, United-States, <=50K\n38, Private,99233, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n19, Private,224849, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K\n60, Local-gov,101110, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, >50K\n24, Private,184839, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Private,302847, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,181322, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K\n26, Local-gov,192213, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Canada, <=50K\n28, State-gov,37250, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,16, United-States, <=50K\n38, Self-emp-inc,140854, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n47, Private,158286, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n50, Private,269095, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K\n27, Private,279960, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,176239, Some-college,10, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,115360, 10th,6, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,3464,0,40, United-States, <=50K\n49, Private,337666, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n68, ?,255276, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,48, United-States, >50K\n63, Private,145212, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,185099, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K\n42, Private,142756, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n28, Private,156300, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,45, United-States, <=50K\n68, ?,186266, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,8, United-States, <=50K\n38, Private,219137, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,22, United-States, <=50K\n43, Private,110970, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n49, Private,203067, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n59, Private,148844, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,154941, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,124111, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K\n59, Private,157303, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K\n34, Private,113838, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n34, Private,165737, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,43, India, >50K\n67, Private,140849, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K\n45, Private,200363, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,44, United-States, <=50K\n64, Private,180247, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n51, Private,82578, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, Canada, >50K\n31, Private,227146, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n42, Self-emp-inc,348886, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n65, Private,90907, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n23, Private,142766, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,20, United-States, <=50K\n31, Private,246439, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n33, Private,184784, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Local-gov,195262, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n63, Private,167967, Masters,14, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,46, United-States, <=50K\n48, Private,145636, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, >50K\n45, Local-gov,170099, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n17, Private,228253, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K\n26, Local-gov,205570, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Federal-gov,506830, Some-college,10, Divorced, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n29, Private,412435, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, Outlying-US(Guam-USVI-etc), <=50K\n44, Private,163331, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K\n43, Federal-gov,222756, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, State-gov,318918, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,105188, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, Haiti, <=50K\n23, Private,199884, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K\n19, Private,96483, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,192203, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, <=50K\n52, Private,203392, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K\n32, Private,99646, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n38, Private,167440, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,4508,0,40, United-States, <=50K\n25, ?,210095, 5th-6th,3, Never-married, ?, Unmarried, White, Female,0,0,25, El-Salvador, <=50K\n44, Private,219591, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n63, Private,30270, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,226020, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,60, ?, <=50K\n21, Private,314165, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, Columbia, <=50K\n32, Private,330715, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Self-emp-not-inc,35448, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K\n50, State-gov,172970, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n26, Self-emp-inc,189502, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, >50K\n35, Private,61518, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K\n31, Private,574005, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K\n24, Private,281356, 1st-4th,2, Never-married, Farming-fishing, Not-in-family, Other, Male,0,0,66, Mexico, <=50K\n40, Private,138975, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, <=50K\n31, Private,176969, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K\n43, Private,132393, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Poland, <=50K\n44, Private,194924, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K\n40, Private,478205, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K\n75, ?,128224, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n52, Local-gov,30118, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,3137,0,42, United-States, <=50K\n51, Self-emp-not-inc,290688, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, State-gov,85566, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,121874, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n40, Self-emp-not-inc,29036, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,35, United-States, <=50K\n33, Private,348152, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Local-gov,73715, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K\n29, Private,151382, Assoc-voc,11, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,50, United-States, <=50K\n37, Private,236359, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K\n37, Private,19899, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,45, United-States, >50K\n19, Private,138760, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Local-gov,354962, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n46, Private,181363, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,393360, Some-college,10, Never-married, Protective-serv, Own-child, Black, Male,0,0,30, United-States, <=50K\n34, Private,210736, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, ?, <=50K\n38, Private,110013, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,43, United-States, <=50K\n26, Private,193304, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,118551, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n57, Private,201991, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,157446, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K\n26, Local-gov,283217, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,247794, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,84, United-States, <=50K\n38, Private,43712, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,60, United-States, >50K\n61, Private,35649, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,6, United-States, <=50K\n36, Self-emp-not-inc,342719, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, ?, >50K\n61, ?,71467, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,3103,0,40, United-States, >50K\n17, Private,271837, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,16, United-States, <=50K\n40, Private,400061, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, United-States, >50K\n18, Private,62972, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n21, Private,174907, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,32, United-States, <=50K\n41, Private,176452, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Peru, <=50K\n46, Private,268358, 11th,7, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Federal-gov,176904, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,176683, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,52, United-States, <=50K\n39, Private,98077, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,42, United-States, <=50K\n36, Private,266461, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,48, United-States, <=50K\n51, Private,312477, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3908,0,40, United-States, <=50K\n27, Private,604045, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Local-gov,131568, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,97688, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,47, United-States, <=50K\n23, Private,373628, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n56, Private,367984, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n41, Self-emp-not-inc,193459, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n49, Private,250733, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K\n46, Federal-gov,199725, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Female,0,0,60, United-States, <=50K\n54, Private,156877, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Greece, <=50K\n38, Private,122076, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,43, United-States, >50K\n45, Self-emp-not-inc,216402, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, India, >50K\n50, Self-emp-not-inc,42402, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,30, United-States, >50K\n22, Private,315974, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,63437, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Ireland, <=50K\n27, Private,160786, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n34, Private,85374, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,465974, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K\n47, Private,78529, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n36, State-gov,98037, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n22, Private,178390, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,210940, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,2002,45, United-States, <=50K\n43, Private,64506, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n54, Private,128378, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n24, Private,234460, 9th,5, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, Dominican-Republic, <=50K\n29, Private,176760, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,55, United-States, <=50K\n40, State-gov,59460, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n18, Private,234428, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n31, Private,215047, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n57, Private,140426, Doctorate,16, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,40, Germany, >50K\n32, Private,191777, Masters,14, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n48, Private,148995, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,229773, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n24, Private,174461, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,22, United-States, <=50K\n24, Private,250647, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Guatemala, <=50K\n49, Local-gov,119904, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,30, United-States, >50K\n27, Self-emp-not-inc,151402, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1573,70, United-States, <=50K\n37, Private,184556, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,263561, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n19, Private,177945, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K\n45, Private,306889, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n54, Local-gov,54377, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,144351, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,625,40, United-States, <=50K\n22, Private,95566, Some-college,10, Married-spouse-absent, Sales, Own-child, Other, Female,0,0,22, Dominican-Republic, <=50K\n20, Private,181675, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,172129, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n49, ?,350759, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,105592, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n20, ?,200061, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, ?, <=50K\n34, Self-emp-inc,200689, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,386726, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,44, United-States, >50K\n28, Local-gov,135567, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,4101,0,60, United-States, <=50K\n38, Local-gov,282753, Assoc-voc,11, Divorced, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n32, Private,137367, 11th,7, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n35, Self-emp-inc,153976, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n51, Self-emp-inc,96062, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n33, Private,152933, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n71, Private,97870, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,15, Germany, <=50K\n48, Private,254291, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n53, Self-emp-not-inc,101432, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,125776, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n64, Self-emp-not-inc,165479, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,5, United-States, <=50K\n42, Federal-gov,172307, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, >50K\n25, Private,176729, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n66, Private,174276, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,50, United-States, >50K\n59, Federal-gov,48102, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, ?, >50K\n42, Self-emp-not-inc,79531, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n24, Private,306460, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K\n19, Private,55284, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,25, United-States, <=50K\n26, Private,172063, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K\n22, Private,141028, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,30, United-States, <=50K\n33, Private,37274, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n63, Private,31389, 11th,7, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,12, United-States, <=50K\n20, Private,415913, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n33, Private,295591, 5th-6th,3, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n57, ?,202903, 7th-8th,4, Married-civ-spouse, ?, Wife, White, Female,1173,0,45, Puerto-Rico, <=50K\n56, Private,159770, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n70, Self-emp-not-inc,268832, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,24, United-States, >50K\n42, Private,126003, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n25, Local-gov,225193, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n28, Private,297735, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n80, Self-emp-not-inc,225892, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,1409,0,40, United-States, <=50K\n36, Private,605502, 10th,6, Never-married, Transport-moving, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n37, Private,174150, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,165466, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, >50K\n52, State-gov,189728, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n49, Private,360491, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,115040, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,262688, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,7688,0,50, United-States, >50K\n70, Self-emp-inc,158437, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K\n55, Private,41108, Some-college,10, Widowed, Farming-fishing, Not-in-family, White, Male,0,2258,62, United-States, >50K\n25, Private,149875, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n59, Private,131916, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Italy, >50K\n22, Private,60668, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,153132, Assoc-acdm,12, Separated, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n62, Private,155256, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n54, Private,244770, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n38, Private,312108, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n52, Private,102828, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n36, Private,93225, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n74, Self-emp-inc,231002, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, >50K\n35, Self-emp-not-inc,256992, 5th-6th,3, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, Mexico, <=50K\n41, Private,118721, 12th,8, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n30, Private,151989, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K\n25, Private,109112, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n35, Private,589809, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,13550,0,60, United-States, >50K\n38, Private,172538, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n34, State-gov,318982, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1848,40, United-States, >50K\n48, Private,204629, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n50, Self-emp-not-inc,99894, 5th-6th,3, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K\n19, Private,369463, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n51, Private,79324, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,61178, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n20, Private,204226, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n17, Private,183110, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K\n42, Private,96321, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n25, Private,167031, Some-college,10, Never-married, Other-service, Other-relative, Other, Female,0,0,25, Ecuador, <=50K\n36, Private,108997, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n65, Private,176796, Doctorate,16, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,134737, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,70, United-States, >50K\n33, Self-emp-inc,49795, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n32, State-gov,131588, Some-college,10, Never-married, Tech-support, Unmarried, Black, Female,0,0,20, United-States, <=50K\n25, Private,307643, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,351350, Some-college,10, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,260761, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n72, Private,156310, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,2414,0,12, United-States, <=50K\n36, Private,207789, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,52, United-States, <=50K\n67, Self-emp-not-inc,252842, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,1797,0,20, United-States, <=50K\n28, Private,294936, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,4064,0,45, United-States, <=50K\n24, Private,196269, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,0,40, United-States, <=50K\n17, Private,46402, 7th-8th,4, Never-married, Sales, Own-child, White, Male,0,0,8, United-States, <=50K\n32, Self-emp-not-inc,267161, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,30, United-States, <=50K\n67, Private,160456, 11th,7, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, ?,123983, Some-college,10, Never-married, ?, Other-relative, Asian-Pac-Islander, Male,0,0,10, Vietnam, <=50K\n51, Private,123053, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,5013,0,40, India, <=50K\n32, Private,426467, 1st-4th,2, Never-married, Craft-repair, Not-in-family, White, Male,3674,0,40, Guatemala, <=50K\n39, Private,269323, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n18, Self-emp-not-inc,42857, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,35, United-States, <=50K\n50, Self-emp-not-inc,183915, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n24, Private,211391, 10th,6, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K\n21, Local-gov,193130, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,86745, Bachelors,13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,16, United-States, <=50K\n34, Private,226525, Assoc-voc,11, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n68, ?,270339, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K\n49, Self-emp-not-inc,343742, 10th,6, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,32, United-States, <=50K\n50, Private,150975, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n33, Private,207301, Assoc-acdm,12, Divorced, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n18, Private,135924, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,184277, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,55, United-States, >50K\n20, Private,142233, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n46, Self-emp-inc,120902, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,37, United-States, >50K\n64, Local-gov,158412, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,126161, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n35, Private,149347, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,70, United-States, <=50K\n21, Private,322674, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K\n29, Private,55390, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K\n38, State-gov,200904, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,30, United-States, >50K\n45, Private,166056, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,116666, Masters,14, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,50, India, >50K\n41, Private,168324, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n37, Private,121772, HS-grad,9, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Hong, <=50K\n45, Private,126889, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,60, United-States, >50K\n20, ?,401690, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n45, Self-emp-inc,117605, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n20, Federal-gov,410446, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,20, United-States, <=50K\n63, Self-emp-inc,38472, Some-college,10, Widowed, Sales, Not-in-family, White, Female,14084,0,60, United-States, >50K\n35, Self-emp-not-inc,335704, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,70261, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n19, Private,47577, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n23, Private,117767, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n34, Private,179641, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n23, ?,343553, 11th,7, Never-married, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,328466, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, Mexico, >50K\n46, Private,265097, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,5, United-States, <=50K\n38, Local-gov,414791, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n55, Local-gov,48055, 12th,8, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,341672, Some-college,10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n48, Private,266764, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n35, Private,233571, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,50, United-States, <=50K\n53, Private,126592, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,7688,0,40, United-States, >50K\n47, Private,70754, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,138852, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,4650,0,22, United-States, <=50K\n32, Private,175856, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,193494, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,46, United-States, <=50K\n41, Private,104334, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n47, Federal-gov,197332, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,205844, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,25, United-States, <=50K\n45, Local-gov,206459, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K\n33, Private,202822, 7th-8th,4, Never-married, Other-service, Unmarried, Black, Female,0,0,14, Trinadad&Tobago, <=50K\n68, Without-pay,174695, Some-college,10, Married-spouse-absent, Farming-fishing, Unmarried, White, Female,0,0,25, United-States, <=50K\n44, Private,183342, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n49, Private,105614, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n45, Private,329603, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Poland, >50K\n41, Private,77373, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1848,65, United-States, >50K\n29, Private,207473, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Mexico, <=50K\n46, Private,149161, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, ?, <=50K\n19, Private,311974, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,25, Mexico, <=50K\n56, Private,175127, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,111625, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n29, Private,48895, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n21, Private,27049, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,25, United-States, <=50K\n38, Private,108907, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K\n52, Private,94988, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n22, Private,218343, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n20, Private,227626, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, <=50K\n31, Private,272856, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,50, England, <=50K\n39, Private,30916, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,276229, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,289106, Assoc-acdm,12, Separated, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n67, ?,39100, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,5, United-States, <=50K\n45, Private,192776, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,55, United-States, >50K\n61, Private,147280, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n18, Private,187770, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n51, State-gov,213296, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,107410, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n21, ?,170272, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n32, Private,86808, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K\n48, Private,149210, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Male,0,0,45, United-States, <=50K\n62, Private,123411, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,53, United-States, <=50K\n21, ?,306779, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n28, Private,487347, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n19, Private,283945, 10th,6, Never-married, Handlers-cleaners, Other-relative, White, Male,0,1602,45, United-States, <=50K\n20, Private,375698, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n41, Private,271753, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,251854, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n47, Private,264052, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n43, State-gov,28451, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, >50K\n20, Private,282604, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,20, United-States, <=50K\n29, Private,185908, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,55, United-States, >50K\n51, Federal-gov,198186, Bachelors,13, Widowed, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n40, Private,242521, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,337940, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n30, Private,212064, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,129263, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n68, Local-gov,144761, HS-grad,9, Widowed, Protective-serv, Not-in-family, White, Male,0,1668,20, United-States, <=50K\n42, Private,109912, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, >50K\n41, Private,113324, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,187795, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n20, Private,173724, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n43, Private,185129, Bachelors,13, Divorced, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,73134, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K\n45, Private,236040, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,74194, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K\n31, Local-gov,102130, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n23, Private,140915, Some-college,10, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male,0,0,25, Philippines, <=50K\n69, ?,107575, HS-grad,9, Divorced, ?, Not-in-family, White, Female,2964,0,35, United-States, <=50K\n38, State-gov,34364, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,258037, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, Cuba, >50K\n18, Private,391585, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,233130, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, Mexico, <=50K\n30, Private,101345, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,3103,0,55, United-States, >50K\n23, ?,32897, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n26, Private,248612, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K\n37, Private,212465, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,198587, Some-college,10, Never-married, Tech-support, Not-in-family, Black, Female,2174,0,50, United-States, <=50K\n33, Private,405913, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Peru, >50K\n37, Private,588003, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n31, Private,46807, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,210498, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K\n35, Private,206951, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n28, Self-emp-not-inc,237466, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, >50K\n59, Private,279636, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, Guatemala, <=50K\n42, Private,29320, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,271262, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n27, ?,29361, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Female,0,0,45, United-States, <=50K\n32, Private,76773, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,109004, HS-grad,9, Separated, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K\n43, Private,226902, Bachelors,13, Divorced, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n46, Private,176552, 11th,7, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K\n41, Private,182303, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n59, Local-gov,296253, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,8614,0,60, United-States, >50K\n20, Private,218215, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n57, Private,165695, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K\n46, Self-emp-not-inc,51271, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,4386,0,70, United-States, <=50K\n45, Private,96100, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Local-gov,82393, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Male,0,1590,45, United-States, <=50K\n23, Private,248978, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n46, Private,254367, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,1590,48, United-States, <=50K\n55, ?,200235, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n58, Private,94429, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,87282, Assoc-voc,11, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n29, Private,119793, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,50, United-States, <=50K\n57, ?,85815, HS-grad,9, Divorced, ?, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K\n26, Local-gov,197764, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,306982, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n61, Private,80896, HS-grad,9, Separated, Transport-moving, Unmarried, Asian-Pac-Islander, Male,0,0,45, United-States, >50K\n31, Private,197886, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K\n43, Private,355728, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,121124, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,50, United-States, >50K\n51, State-gov,193720, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, >50K\n23, Private,347292, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,34506, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,326370, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, ?, <=50K\n22, ?,269221, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,63509, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n48, Private,148254, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,16, United-States, >50K\n33, Private,190511, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n46, Private,268022, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, ?, >50K\n18, Private,20057, 7th-8th,4, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n52, Private,206862, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,189498, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,45, United-States, >50K\n28, Private,166320, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Private,289886, Some-college,10, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,30, Vietnam, <=50K\n23, ?,86337, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K\n45, Local-gov,54190, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n17, Private,147069, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K\n56, Private,282023, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n38, Self-emp-inc,379485, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, United-States, <=50K\n81, Private,129338, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,10, United-States, <=50K\n22, Private,99829, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K\n43, State-gov,182254, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,109428, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1740,40, United-States, <=50K\n42, Self-emp-not-inc,351161, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n66, ?,210750, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K\n50, Private,132716, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,242984, Some-college,10, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,101509, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, ?,509629, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K\n36, Private,119957, Bachelors,13, Separated, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K\n33, Private,69727, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n36, Private,204590, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,213,40, United-States, <=50K\n37, ?,50862, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,55, United-States, <=50K\n50, Private,182907, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n55, Private,206487, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,168015, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,149396, Some-college,10, Never-married, Other-service, Other-relative, Black, Female,0,0,30, Haiti, <=50K\n39, Federal-gov,184964, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K\n34, Private,398988, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,128777, 7th-8th,4, Divorced, Craft-repair, Unmarried, White, Female,0,0,55, United-States, <=50K\n60, Private,252413, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,32, United-States, >50K\n33, Private,181372, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n58, Private,216851, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, El-Salvador, <=50K\n27, Private,106935, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, State-gov,363875, Some-college,10, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n63, Private,287277, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,172342, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,308498, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,15, United-States, <=50K\n29, Private,122127, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,8614,0,40, United-States, >50K\n31, Private,106437, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, >50K\n49, Self-emp-inc,306289, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n45, Self-emp-inc,201699, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n42, Private,282062, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,235108, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,339482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,181820, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,99335, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,367533, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2580,0,40, United-States, <=50K\n57, Private,64960, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,45, United-States, <=50K\n50, Private,269095, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,58683, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n35, Self-emp-not-inc,89508, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3908,0,60, United-States, <=50K\n19, Private,100999, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n18, Private,34125, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,28, United-States, <=50K\n20, Private,115057, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,139126, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,104632, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K\n40, Federal-gov,178866, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n54, Private,139850, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,45, United-States, >50K\n28, Private,61435, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n38, Private,309230, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,45613, Some-college,10, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,272615, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,54318, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,165519, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,48495, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K\n38, Private,143123, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n67, Self-emp-not-inc,431426, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,20051,0,4, United-States, >50K\n75, Private,256474, Masters,14, Never-married, Protective-serv, Not-in-family, White, Male,0,0,16, United-States, <=50K\n41, Private,191451, Masters,14, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,60, United-States, >50K\n37, Private,99146, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n47, Private,235986, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,50, Cuba, <=50K\n34, Local-gov,429897, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Mexico, >50K\n25, Private,189897, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Private,145155, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, State-gov,192257, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,2174,0,40, United-States, <=50K\n35, Private,194960, HS-grad,9, Never-married, Farming-fishing, Not-in-family, Other, Male,0,0,40, Puerto-Rico, <=50K\n44, Local-gov,357814, 12th,8, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,35, Mexico, <=50K\n27, Local-gov,137629, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K\n42, Private,156526, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,33, United-States, <=50K\n26, Private,189238, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,38, El-Salvador, <=50K\n23, Private,202989, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Canada, <=50K\n28, Private,25684, HS-grad,9, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,192939, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n28, Private,138692, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K\n29, Private,222249, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,201318, 9th,5, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,3411,0,50, Columbia, <=50K\n23, ?,190650, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,35, United-States, <=50K\n30, Private,56004, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K\n48, Private,182313, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,138962, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,72, ?, <=50K\n38, Private,277248, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Cuba, >50K\n24, Private,125031, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n47, State-gov,216414, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,171176, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,48, ?, <=50K\n29, Private,356133, Some-college,10, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K\n45, Private,185397, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,308285, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,56651, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, Local-gov,154863, 9th,5, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Trinadad&Tobago, >50K\n46, Federal-gov,44706, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, >50K\n34, ?,222548, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,4, United-States, <=50K\n32, Private,248754, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,104981, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,315065, Some-college,10, Never-married, Other-service, Unmarried, White, Male,0,0,35, Mexico, <=50K\n46, Private,188325, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,221661, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K\n59, Private,81973, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n31, Private,169122, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n48, Private,216734, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,98101, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,292511, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n20, Private,122971, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K\n29, Private,124953, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K\n54, Private,123011, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,76417, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K\n43, Private,351576, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n46, Federal-gov,33794, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,3103,0,40, United-States, >50K\n33, Private,79923, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n33, Private,117983, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K\n36, Private,186110, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,187589, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5178,0,40, United-States, >50K\n37, ?,319685, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,54, United-States, >50K\n64, ?,64101, 12th,8, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K\n45, Self-emp-not-inc,162923, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,288519, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,33798, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,195734, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,2354,0,40, United-States, <=50K\n23, Private,214120, HS-grad,9, Never-married, Priv-house-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,113515, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Self-emp-not-inc,261230, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,98515, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,187715, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n23, ?,214238, 7th-8th,4, Never-married, ?, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n32, Private,123964, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,4386,0,50, United-States, <=50K\n26, Private,68991, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K\n52, Private,292110, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n19, Private,198320, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K\n33, Private,709798, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n60, Private,372838, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,160402, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,38, United-States, <=50K\n45, Private,98475, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n37, Local-gov,97136, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n29, Private,136985, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,187356, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,66, United-States, <=50K\n46, State-gov,107231, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1740,40, United-States, <=50K\n20, Private,305874, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,290922, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n48, Private,248254, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298,0,40, United-States, >50K\n38, Private,160808, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,4386,0,48, United-States, <=50K\n36, Private,247321, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n53, Private,247651, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,56, United-States, <=50K\n29, Private,214702, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1974,35, United-States, <=50K\n64, Private,75577, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,2580,0,50, United-States, <=50K\n34, Private,561334, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n36, ?,224886, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,401134, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,258170, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K\n68, ?,141181, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K\n37, Private,292370, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,50, ?, >50K\n22, Private,300871, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,136721, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,140399, Some-college,10, Never-married, ?, Other-relative, White, Female,0,0,30, United-States, <=50K\n36, Private,109133, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,186534, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n25, Private,226891, Assoc-voc,11, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K\n33, Private,241885, Some-college,10, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,97165, Some-college,10, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K\n33, Private,212918, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,70, United-States, <=50K\n24, Private,211585, HS-grad,9, Married-civ-spouse, Transport-moving, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Local-gov,178309, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-inc,481987, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,215211, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n33, Local-gov,194901, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n44, Private,340885, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1977,40, United-States, >50K\n33, Local-gov,190290, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,56, United-States, <=50K\n26, Private,188569, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n22, Private,162282, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n34, Private,287315, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n31, Self-emp-inc,304212, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K\n73, ?,200878, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K\n38, Local-gov,256864, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,46401, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n36, Private,37778, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,191722, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,54, United-States, >50K\n64, Self-emp-not-inc,103643, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, >50K\n24, Private,143766, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,55, United-States, <=50K\n21, State-gov,204425, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K\n28, Private,156257, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n18, ?,113185, 11th,7, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n41, Self-emp-inc,112262, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,28031, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K\n58, Private,320102, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n50, Self-emp-not-inc,334273, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,8, United-States, <=50K\n30, Private,356015, 11th,7, Married-spouse-absent, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K\n47, Private,278900, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,142528, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n50, Federal-gov,343014, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K\n29, Private,201017, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, Scotland, <=50K\n31, Self-emp-not-inc,81030, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n40, Self-emp-not-inc,34007, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, >50K\n31, Private,29662, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n53, Private,347446, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Private,90668, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,190403, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n56, Private,109015, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,50, United-States, >50K\n38, Private,234807, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n18, Private,157131, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n50, Private,94081, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n78, Private,135566, HS-grad,9, Widowed, Sales, Unmarried, White, Female,2329,0,12, United-States, <=50K\n27, Private,103164, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,570002, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n24, State-gov,215797, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,289405, Some-college,10, Never-married, Sales, Own-child, White, Male,0,1602,15, United-States, <=50K\n25, Private,239461, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K\n34, Private,101510, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, >50K\n30, Self-emp-inc,443546, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n37, Federal-gov,141029, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,207202, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K\n67, Without-pay,137192, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,12, Philippines, <=50K\n35, Private,222989, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n75, Self-emp-not-inc,36325, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n47, Private,73394, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K\n23, Private,249046, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n51, Federal-gov,100653, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K\n42, Local-gov,1125613, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n32, Private,101352, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,32, United-States, >50K\n54, Private,340476, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n20, Private,192711, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,273362, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,100451, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,38, United-States, >50K\n35, Private,85399, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Local-gov,168191, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K\n27, Private,153475, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,196773, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K\n41, Private,180138, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n22, Private,48347, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,175071, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,15024,0,40, United-States, >50K\n66, ?,129476, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K\n25, Private,181772, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,284317, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n20, Private,237305, Some-college,10, Never-married, Machine-op-inspct, Other-relative, Black, Female,0,0,35, United-States, <=50K\n67, Self-emp-inc,111321, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,16, United-States, <=50K\n44, Private,278476, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n42, Private,39060, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n29, Local-gov,205262, Some-college,10, Never-married, Adm-clerical, Not-in-family, Other, Male,0,0,40, Ecuador, <=50K\n48, Private,198000, Some-college,10, Never-married, Craft-repair, Unmarried, White, Female,0,0,38, United-States, >50K\n25, Private,397962, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K\n31, Private,178370, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,99, United-States, >50K\n48, Private,121253, Bachelors,13, Married-spouse-absent, Sales, Unmarried, White, Female,0,2472,70, United-States, >50K\n40, Private,56072, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K\n26, Private,176756, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,60374, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n52, Private,165681, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n41, Self-emp-not-inc,287037, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n39, Self-emp-not-inc,55568, Bachelors,13, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,50, United-States, <=50K\n48, Private,155509, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,16, Trinadad&Tobago, <=50K\n19, Private,201178, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n27, Private,37250, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1651,40, United-States, <=50K\n59, Private,314149, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,1740,50, United-States, <=50K\n19, Private,264593, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n32, Private,159589, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n39, Private,454915, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n33, Private,285131, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,150057, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,55390, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,45, United-States, <=50K\n23, Private,314894, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,45, United-States, <=50K\n59, ?,184948, Assoc-voc,11, Divorced, ?, Not-in-family, White, Male,0,0,48, United-States, <=50K\n25, Local-gov,124483, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,20, India, <=50K\n37, Self-emp-inc,97986, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, <=50K\n31, Private,210562, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n24, Private,233280, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,37, United-States, <=50K\n53, Local-gov,164300, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, Dominican-Republic, <=50K\n26, Private,227489, Some-college,10, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, ?, <=50K\n25, Private,263773, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n59, Private,96459, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Federal-gov,116608, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Private,180007, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,305466, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,238917, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, El-Salvador, <=50K\n25, Private,129784, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,367390, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n20, Private,235691, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n63, ?,166425, Some-college,10, Widowed, ?, Not-in-family, Black, Female,0,0,24, United-States, <=50K\n43, Self-emp-not-inc,160369, 10th,6, Divorced, Farming-fishing, Unmarried, White, Male,0,0,25, United-States, <=50K\n39, Private,206298, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,183523, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n17, Private,217342, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,5, United-States, <=50K\n40, State-gov,141858, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,72, United-States, <=50K\n50, Private,213296, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n23, Self-emp-inc,201682, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n60, Private,178312, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,65, United-States, >50K\n30, Private,269723, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,200593, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,32616, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n24, Private,259510, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,30, United-States, <=50K\n45, Self-emp-not-inc,271828, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n58, Self-emp-inc,78104, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K\n22, Private,113703, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,20, United-States, <=50K\n41, Private,187802, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,440706, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,191834, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n33, Private,149184, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n49, Self-emp-inc,315998, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n30, Private,159589, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n38, Private,60313, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n58, Local-gov,32855, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n58, Private,142326, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n61, Self-emp-not-inc,201965, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,172333, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K\n32, Private,206541, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n33, Self-emp-not-inc,177828, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n28, Private,303440, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n22, Private,89991, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,11, United-States, <=50K\n35, Private,186009, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n59, Private,170988, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n45, Self-emp-inc,180239, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7688,0,40, ?, >50K\n50, Self-emp-not-inc,213654, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K\n56, Self-emp-inc,32316, 12th,8, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,150371, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, ?,387871, 10th,6, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n28, Private,314649, Some-college,10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K\n42, Private,240255, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n60, Private,206339, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-inc,230168, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,91, United-States, <=50K\n42, Private,171424, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,45, United-States, >50K\n36, Private,148581, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n52, Local-gov,89705, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n42, Self-emp-not-inc,248406, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n26, Local-gov,72594, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,55, United-States, >50K\n31, Local-gov,137537, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Private,225065, 5th-6th,3, Separated, Sales, Unmarried, White, Female,0,0,40, Mexico, <=50K\n35, Private,217274, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n19, Private,69151, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n59, Self-emp-not-inc,81107, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,80, United-States, >50K\n38, Private,205852, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,201117, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,397307, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n39, Private,115422, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n64, Private,114994, Some-college,10, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, Local-gov,39815, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n49, Private,151584, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, United-States, <=50K\n19, Private,164938, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n36, Self-emp-not-inc,179896, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,3137,0,40, United-States, <=50K\n26, Private,253841, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K\n27, Private,177955, 5th-6th,3, Never-married, Priv-house-serv, Other-relative, White, Female,2176,0,40, El-Salvador, <=50K\n66, Private,113323, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,40, United-States, >50K\n38, Private,320305, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,229287, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Female,0,0,25, United-States, <=50K\n19, Private,100790, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,331419, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,4787,0,50, United-States, >50K\n22, Private,171419, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0,0,40, South, <=50K\n60, Private,202226, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,44, United-States, >50K\n54, Private,308087, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,18, United-States, >50K\n46, Private,220124, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,37, United-States, <=50K\n33, State-gov,31703, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Local-gov,153908, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,180599, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K\n18, ?,252046, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n60, Self-emp-inc,160062, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K\n39, Self-emp-not-inc,148443, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n23, Private,91733, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,3325,0,40, United-States, <=50K\n39, Private,176634, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Local-gov,74949, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,165484, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n24, Private,44738, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n32, Private,130040, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,234537, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n39, Private,179016, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n27, Private,335421, Masters,14, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n45, State-gov,312678, Masters,14, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,38, United-States, <=50K\n22, ?,313786, HS-grad,9, Divorced, ?, Other-relative, Black, Female,0,0,40, United-States, <=50K\n31, Private,198751, Bachelors,13, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K\n63, Private,131519, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,285060, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n28, State-gov,189765, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n23, Private,130905, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,146325, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K\n33, Private,102821, 12th,8, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n22, ?,137876, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,388998, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,13550,0,46, United-States, >50K\n29, Private,82910, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,309122, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n60, Private,532845, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, >50K\n46, Private,195833, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, ?, <=50K\n67, ?,98882, Masters,14, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, ?,133515, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, France, <=50K\n23, Private,55215, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,55, United-States, <=50K\n38, Self-emp-inc,176357, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n60, Private,185836, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n20, Self-emp-not-inc,54152, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,35, United-States, <=50K\n37, Private,212437, Some-college,10, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,48, United-States, <=50K\n37, Private,224566, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n58, Private,200040, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,41526, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,30, Canada, <=50K\n27, Private,89598, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,60, United-States, <=50K\n33, Private,323811, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K\n43, State-gov,30824, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Federal-gov,181096, Some-college,10, Never-married, Tech-support, Own-child, Black, Male,0,0,20, United-States, <=50K\n45, Private,217953, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K\n44, Private,222635, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n52, ?,121942, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,346871, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,4787,0,46, United-States, >50K\n31, Private,184889, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,20, United-States, <=50K\n18, Federal-gov,101709, 11th,7, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,15, Philippines, <=50K\n20, Private,125010, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n32, Private,53135, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,498328, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n46, Private,604380, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n28, Private,174327, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n27, Self-emp-not-inc,357283, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n18, Federal-gov,280728, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,32, United-States, <=50K\n69, Self-emp-not-inc,185039, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,12, United-States, >50K\n50, Self-emp-inc,251240, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,143046, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Greece, <=50K\n32, Private,210541, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n43, Private,172364, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, <=50K\n52, Self-emp-not-inc,138611, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,55, United-States, >50K\n50, Private,176227, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K\n35, Private,139647, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n20, ?,174461, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,5, United-States, <=50K\n73, ?,123345, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,65, United-States, <=50K\n46, Private,164427, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K\n58, Private,205235, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n46, Self-emp-inc,192779, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K\n40, Private,163434, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n25, Private,264055, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,336215, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n33, Federal-gov,78307, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n49, Federal-gov,233059, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,91433, 10th,6, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n56, Local-gov,157525, Some-college,10, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,48, United-States, <=50K\n24, Private,86065, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Female,0,0,40, Mexico, <=50K\n42, Private,22831, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,180181, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,212617, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,66, Ecuador, <=50K\n22, ?,125905, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Private,336793, Bachelors,13, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n42, Private,314649, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male,0,0,40, ?, <=50K\n22, Private,283969, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K\n32, Self-emp-not-inc,35595, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,410240, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n66, Private,178120, 5th-6th,3, Divorced, Priv-house-serv, Not-in-family, Black, Female,0,0,15, United-States, <=50K\n26, State-gov,294400, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, <=50K\n46, Private,65353, Some-college,10, Divorced, Transport-moving, Own-child, White, Male,3325,0,55, United-States, <=50K\n55, Private,189719, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n24, Private,23438, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,178037, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n22, Private,109815, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,197860, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,271933, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n54, Private,141663, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,15, United-States, <=50K\n19, ?,199609, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n56, Private,92215, 9th,5, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, >50K\n47, Private,93449, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,60, Japan, <=50K\n29, Private,235393, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n53, Private,151864, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,189277, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n50, ?,204577, Bachelors,13, Married-civ-spouse, ?, Husband, Black, Male,0,1902,60, United-States, >50K\n42, Private,344572, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K\n21, Private,265356, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n36, Self-emp-inc,166880, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,70, United-States, <=50K\n60, Private,188650, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, ?, >50K\n69, Private,213249, Assoc-voc,11, Widowed, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n31, Private,112627, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n48, Private,125120, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,55, United-States, <=50K\n23, Private,60409, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,243190, Assoc-acdm,12, Separated, Craft-repair, Unmarried, Asian-Pac-Islander, Male,8614,0,40, United-States, >50K\n47, Private,583755, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n36, Private,68089, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n39, Private,306646, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,186573, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,0,0,46, United-States, <=50K\n27, Private,279580, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,10520,0,45, United-States, >50K\n36, Private,437909, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,420691, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n33, Federal-gov,94193, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Private,154076, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n52, Private,145879, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K\n23, Private,208946, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,32, United-States, <=50K\n33, Private,231826, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K\n30, Private,178587, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n35, Private,213208, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,38, Jamaica, <=50K\n35, ?,139770, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, >50K\n27, Private,153869, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,37, United-States, <=50K\n24, Private,88676, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n44, Local-gov,151089, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,138621, Assoc-voc,11, Separated, Priv-house-serv, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n45, Private,30457, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n75, Self-emp-not-inc,213349, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K\n47, Private,192776, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n64, Private,192884, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n54, Private,103024, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,0,0,42, United-States, >50K\n41, Federal-gov,510072, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,178615, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,249956, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n51, Private,177705, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n45, Self-emp-inc,121124, Prof-school,15, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n18, ?,25837, 11th,7, Never-married, ?, Own-child, White, Male,0,0,72, United-States, <=50K\n43, Private,557349, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Yugoslavia, <=50K\n30, Private,89735, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,1504,40, United-States, <=50K\n32, Private,222548, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Private,47314, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, ?, >50K\n61, Private,316359, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,200089, 1st-4th,2, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,40, England, <=50K\n56, Private,271795, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,49, United-States, <=50K\n28, Private,31801, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,60, United-States, <=50K\n23, Private,196508, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,40, United-States, <=50K\n55, Private,189933, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,84, United-States, <=50K\n27, ?,501172, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,419,20, Mexico, <=50K\n33, Private,361497, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K\n22, Private,150175, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n43, Local-gov,155106, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n32, Self-emp-not-inc,62272, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n38, Private,189916, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n18, Private,324011, 9th,5, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K\n35, Private,105803, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n67, ?,53588, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,107998, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,340567, 1st-4th,2, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, Mexico, <=50K\n39, Private,167777, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n29, Private,228860, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K\n45, Self-emp-inc,40666, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n44, Private,277488, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K\n42, Local-gov,195897, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,242984, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Local-gov,236497, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,312634, 11th,7, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n64, Private,59829, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, France, <=50K\n30, Private,24292, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n43, Local-gov,180407, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,42, Germany, <=50K\n49, Self-emp-not-inc,121238, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n35, Private,281982, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n37, Self-emp-not-inc,348739, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n49, Private,194189, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n19, Private,329130, 11th,7, Separated, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,205939, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,2202,0,4, United-States, <=50K\n31, Private,62165, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n26, Private,224361, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,34722, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n38, Private,175972, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,359428, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n24, ?,138504, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,37, United-States, <=50K\n18, Private,268952, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n32, Private,257978, Assoc-voc,11, Widowed, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n27, Private,118799, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, State-gov,78356, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, Jamaica, <=50K\n30, Self-emp-not-inc,609789, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,123157, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,38, United-States, <=50K\n74, Private,84197, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,10, United-States, <=50K\n36, Private,162312, HS-grad,9, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,70, South, <=50K\n36, Private,138441, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,55, United-States, <=50K\n29, Private,239753, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,2057,20, United-States, <=50K\n39, Private,262158, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n25, Self-emp-inc,133373, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,80, United-States, <=50K\n21, Private,57916, HS-grad,9, Separated, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n39, State-gov,142897, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K\n38, Private,161016, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K\n20, Private,227491, HS-grad,9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,25, United-States, <=50K\n51, Private,306790, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,33831, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,188972, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,313546, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, Private,220585, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n25, Local-gov,476599, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,163665, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n36, Private,306646, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n41, Private,206470, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Germany, <=50K\n34, Private,169583, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n19, State-gov,127085, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K\n18, Private,152044, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,3, United-States, <=50K\n36, Private,111387, 10th,6, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,102318, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,40, United-States, >50K\n29, Private,213692, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K\n23, Private,163665, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,32, United-States, <=50K\n35, Private,30529, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,290226, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,182136, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,73266, Some-college,10, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n19, State-gov,60412, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K\n70, Private,187891, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,194304, Some-college,10, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,55, United-States, <=50K\n35, Private,160910, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n25, Private,148300, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n39, Private,165743, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n50, Private,123174, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,37, ?, >50K\n43, Private,184018, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n37, Federal-gov,188069, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Philippines, >50K\n51, Private,138852, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,7298,0,40, El-Salvador, >50K\n29, ?,78529, 10th,6, Separated, ?, Unmarried, White, Female,0,0,12, United-States, <=50K\n20, Private,164441, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n21, Private,199419, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,181342, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female,0,0,40, United-States, <=50K\n44, Private,173382, Assoc-acdm,12, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n17, Private,184924, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,1719,15, United-States, <=50K\n25, Private,215384, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, State-gov,424094, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Federal-gov,212120, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,185764, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K\n46, Local-gov,133969, Masters,14, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n22, Private,32616, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n49, Private,149210, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n21, Private,161210, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n53, Private,285621, Masters,14, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n43, Private,282069, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,42, United-States, <=50K\n22, Private,97508, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K\n33, Private,356823, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,10520,0,45, United-States, >50K\n28, Private,171133, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n25, Private,231638, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,0,0,24, United-States, <=50K\n40, Private,191342, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, China, >50K\n50, Private,226497, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n48, Self-emp-not-inc,373606, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,65, United-States, >50K\n30, Private,39150, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,288840, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K\n34, Private,293703, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n42, Private,79586, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n48, Self-emp-not-inc,82098, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,65, United-States, <=50K\n38, Private,245372, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K\n29, Private,78261, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,355996, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n64, Private,218490, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,27828,0,55, United-States, >50K\n44, Private,110908, Assoc-voc,11, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,25, United-States, <=50K\n42, Federal-gov,34218, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K\n49, Private,248895, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n25, Private,363707, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,272411, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,128033, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n20, Private,177287, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K\n44, Private,197344, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n45, Private,285858, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n27, Self-emp-inc,193868, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n18, Private,232082, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,27408, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n45, Private,247043, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K\n27, Local-gov,162404, HS-grad,9, Never-married, Protective-serv, Not-in-family, Black, Male,2174,0,40, United-States, <=50K\n64, Private,236341, 5th-6th,3, Widowed, Other-service, Not-in-family, Black, Female,0,0,16, United-States, <=50K\n66, Local-gov,179285, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3432,0,20, United-States, <=50K\n34, Private,30433, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n45, Self-emp-not-inc,102771, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n42, Self-emp-not-inc,221172, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,108116, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K\n26, Private,375499, 10th,6, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,20, United-States, <=50K\n27, Private,178688, Assoc-voc,11, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n21, Private,276709, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K\n23, ?,238087, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K\n47, Private,84790, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, State-gov,37482, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n46, State-gov,178686, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n35, ?,153926, HS-grad,9, Married-civ-spouse, ?, Wife, Black, Female,0,0,40, United-States, <=50K\n55, Private,110748, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n28, Private,116613, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,24, United-States, <=50K\n21, Private,108687, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n36, Private,365739, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,195284, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, >50K\n38, Private,125933, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, >50K\n37, Private,140854, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n81, Self-emp-not-inc,193237, 1st-4th,2, Widowed, Sales, Other-relative, White, Male,0,0,45, Mexico, <=50K\n41, Private,46870, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,351324, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,189265, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,236564, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Federal-gov,557644, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,374454, HS-grad,9, Divorced, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n65, ?,160654, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n18, Private,122775, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n26, Private,214413, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Male,6497,0,48, United-States, <=50K\n30, Private,329425, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,48, United-States, <=50K\n61, Private,178312, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, <=50K\n21, Private,241951, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n53, Private,130143, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n41, Self-emp-inc,114580, Prof-school,15, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,2415,55, United-States, >50K\n43, Self-emp-inc,130126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K\n60, Private,399387, 7th-8th,4, Separated, Priv-house-serv, Unmarried, Black, Female,0,0,15, United-States, <=50K\n47, Private,163814, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,69586, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n32, Private,237903, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, ?,219897, Masters,14, Never-married, ?, Not-in-family, White, Female,0,0,35, Canada, <=50K\n31, Private,243165, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n33, State-gov,173806, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n27, Self-emp-not-inc,65308, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n44, Private,408531, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, >50K\n44, Private,235786, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,45, United-States, >50K\n37, Private,314963, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,81206, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n51, Federal-gov,293196, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n51, Private,95329, Masters,14, Divorced, Protective-serv, Unmarried, White, Male,0,0,40, United-States, <=50K\n25, Local-gov,45474, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n25, Private,372728, Bachelors,13, Never-married, Other-service, Not-in-family, Black, Female,0,0,24, Jamaica, <=50K\n29, Federal-gov,116394, Bachelors,13, Married-AF-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n36, Self-emp-not-inc,34180, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,70, United-States, >50K\n55, Private,327589, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,706180, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n31, Private,32550, 10th,6, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,173858, Prof-school,15, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n51, Self-emp-inc,230095, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n30, Private,139012, Assoc-voc,11, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,2463,0,40, Vietnam, <=50K\n62, Private,174711, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K\n37, Private,171150, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,60, United-States, >50K\n30, Self-emp-inc,77689, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n27, Private,193898, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,52, United-States, <=50K\n32, Private,195000, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K\n23, Private,303121, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n35, Self-emp-not-inc,188540, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,158656, Assoc-acdm,12, Never-married, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K\n45, Self-emp-inc,204196, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, >50K\n27, Private,183802, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,148995, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,190903, 11th,7, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K\n37, State-gov,173780, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,30, United-States, <=50K\n42, Private,251239, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Puerto-Rico, <=50K\n45, Private,112761, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, State-gov,425785, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,197731, Assoc-voc,11, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K\n24, Private,119156, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K\n56, Private,133819, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,185556, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,12, United-States, >50K\n50, Private,109277, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n48, Self-emp-inc,36020, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n45, Private,45857, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,36, United-States, <=50K\n55, Private,184882, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,50, United-States, >50K\n41, State-gov,342834, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, Private,234743, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,24, United-States, <=50K\n29, Federal-gov,106179, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,1408,40, United-States, <=50K\n37, Private,177895, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,5013,0,40, United-States, <=50K\n63, ?,257876, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,86067, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n64, Private,66634, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,27828,0,50, United-States, >50K\n35, Private,138441, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,35, United-States, <=50K\n22, Private,279802, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n58, Private,407138, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2936,0,50, Mexico, <=50K\n58, Private,31732, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n24, Private,204172, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,48, United-States, <=50K\n34, Private,100593, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,6, United-States, <=50K\n33, Local-gov,162623, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n33, Self-emp-not-inc,80933, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K\n17, Private,47425, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n27, Private,107812, Bachelors,13, Married-civ-spouse, Sales, Other-relative, White, Male,0,0,40, United-States, >50K\n20, Self-emp-inc,104443, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n52, Private,117496, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,1755,40, United-States, >50K\n30, Private,209691, 7th-8th,4, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, Private,314525, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,190772, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n64, Local-gov,199298, 5th-6th,3, Divorced, Other-service, Not-in-family, White, Female,0,0,45, ?, <=50K\n49, Private,187370, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K\n38, Private,216129, Bachelors,13, Divorced, Other-service, Not-in-family, Black, Female,0,0,60, ?, <=50K\n46, Federal-gov,219293, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,80, United-States, >50K\n17, Private,136363, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n45, Private,233799, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n27, Private,207611, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-inc,178344, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K\n26, Self-emp-inc,187652, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,78, United-States, >50K\n23, Private,188545, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,1974,20, United-States, <=50K\n44, Local-gov,58124, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,45, United-States, <=50K\n36, Private,321733, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,1741,40, United-States, <=50K\n35, Private,206253, 9th,5, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, ?,152140, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n56, Private,76281, Bachelors,13, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Private,606752, Masters,14, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n32, Private,29933, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, >50K\n29, Private,114158, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,3325,0,10, United-States, <=50K\n55, ?,227203, Assoc-acdm,12, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,5, United-States, <=50K\n35, Self-emp-inc,65624, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n37, Private,34146, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,68, United-States, <=50K\n36, Self-emp-not-inc,34378, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,3908,0,75, United-States, <=50K\n33, Private,141490, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,45, United-States, <=50K\n34, Private,199227, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K\n24, Private,224954, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,231357, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Self-emp-inc,113530, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n38, Private,22245, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,36383, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, >50K\n35, Private,320305, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K\n67, ?,201657, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,60, United-States, <=50K\n34, Private,48935, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n46, Private,101455, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n19, Local-gov,243960, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K\n26, Private,90915, Assoc-acdm,12, Never-married, Other-service, Own-child, Black, Female,0,0,15, United-States, <=50K\n28, Private,315287, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n47, Private,106255, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Local-gov,215895, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Italy, >50K\n33, Self-emp-not-inc,170979, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n44, Private,210525, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,195488, HS-grad,9, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, Guatemala, <=50K\n18, Private,152246, Some-college,10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,16, United-States, <=50K\n60, Self-emp-not-inc,187794, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,60, United-States, >50K\n44, Private,110396, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,14084,0,56, United-States, >50K\n81, ?,89391, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, >50K\n43, State-gov,254817, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,41777, 12th,8, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K\n58, Self-emp-not-inc,234841, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K\n32, Private,79586, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K\n40, Private,115331, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n32, Private,63564, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n21, Private,132053, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1721,35, United-States, <=50K\n44, Private,370502, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, Mexico, <=50K\n33, Private,59083, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1902,45, United-States, >50K\n25, Private,69413, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n42, Private,32981, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,176683, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n62, ?,144116, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n31, Self-emp-not-inc,209213, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,40, ?, <=50K\n33, State-gov,150657, Bachelors,13, Never-married, Prof-specialty, Other-relative, Black, Female,0,0,40, United-States, <=50K\n50, Self-emp-not-inc,124793, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n50, Private,22211, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K\n46, Private,270565, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n22, Private,38251, Assoc-acdm,12, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K\n66, State-gov,162945, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, Black, Male,20051,0,55, United-States, >50K\n52, Private,195638, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K\n57, Self-emp-not-inc,118806, 1st-4th,2, Widowed, Craft-repair, Other-relative, White, Female,0,1602,45, Columbia, <=50K\n41, Self-emp-not-inc,44006, Assoc-voc,11, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,119679, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1579,42, United-States, <=50K\n19, Private,333953, 12th,8, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K\n45, Local-gov,172111, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,60, United-States, <=50K\n51, Self-emp-not-inc,32372, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,0,0,99, United-States, <=50K\n69, ?,117525, Assoc-acdm,12, Divorced, ?, Unmarried, White, Female,0,0,1, United-States, <=50K\n45, Self-emp-not-inc,123681, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n48, Private,317360, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n60, Federal-gov,119832, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n42, Private,135056, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n19, State-gov,135162, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n39, Self-emp-not-inc,194004, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K\n46, Private,177633, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n58, Local-gov,212864, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,3908,0,40, United-States, <=50K\n36, Private,30509, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K\n21, Private,118712, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K\n41, Private,199018, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,151799, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n29, Private,181280, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n52, Private,232024, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n33, Private,226267, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, <=50K\n38, Private,240467, Masters,14, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,35, United-States, <=50K\n42, Private,154374, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n24, State-gov,231473, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, United-States, <=50K\n59, Private,158813, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n36, Private,346478, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,45, United-States, >50K\n54, Private,215990, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,7688,0,40, United-States, >50K\n39, Private,177154, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n42, Self-emp-not-inc,238188, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,96, United-States, <=50K\n54, Self-emp-not-inc,156800, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,130620, Assoc-acdm,12, Married-spouse-absent, Craft-repair, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K\n50, Private,175339, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,37937, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K\n48, Federal-gov,166634, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,40, United-States, >50K\n31, Private,221167, Bachelors,13, Widowed, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n56, Private,179641, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n28, Local-gov,213195, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n34, Private,157747, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,227840, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Private,169104, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K\n44, Private,186916, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,60, United-States, >50K\n34, Private,37646, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K\n26, Private,157028, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K\n37, Private,188774, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,2824,40, United-States, >50K\n64, ?,146272, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,3411,0,15, United-States, <=50K\n25, Private,182656, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,200471, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,358465, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,78602, 11th,7, Never-married, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K\n44, Private,213416, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n46, Local-gov,345911, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K\n32, ?,119522, Bachelors,13, Divorced, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K\n42, Federal-gov,126320, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n33, Self-emp-not-inc,235271, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n61, Private,141745, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n47, Private,359461, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,109351, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,8614,0,45, United-States, >50K\n62, Private,148113, 10th,6, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,75478, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,100375, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K\n19, ?,28455, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n33, Private,231413, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n39, Local-gov,119421, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,42, United-States, <=50K\n17, Private,206998, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K\n58, Private,183810, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-inc,187053, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n34, Local-gov,155781, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,4064,0,50, United-States, <=50K\n55, ?,193895, 7th-8th,4, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,48520, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, Self-emp-inc,170125, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,107584, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,196742, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, ?,244214, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K\n48, Local-gov,127921, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,42617, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K\n47, Local-gov,191389, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n38, Private,187983, Prof-school,15, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K\n18, Private,215110, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K\n25, Private,230292, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,90159, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,32, United-States, >50K\n40, Private,175398, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n56, Self-emp-not-inc,53366, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n50, Private,46155, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K\n55, Private,61708, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,6418,0,50, United-States, >50K\n32, Local-gov,112650, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,173682, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, >50K\n28, Private,160981, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,52, United-States, <=50K\n53, Private,72257, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n26, ?,182332, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K\n60, Local-gov,48788, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,5455,0,55, United-States, <=50K\n21, Private,417668, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n29, Private,107458, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n73, Private,147551, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2174,50, United-States, >50K\n43, Self-emp-inc,33729, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n45, Private,101977, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n35, ?,374716, 9th,5, Married-civ-spouse, ?, Wife, White, Female,0,0,35, United-States, <=50K\n36, Private,214378, HS-grad,9, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, >50K\n25, Private,111243, HS-grad,9, Never-married, Sales, Other-relative, White, Female,0,0,50, United-States, <=50K\n38, Private,252947, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K\n30, Local-gov,118500, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,195612, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K\n41, Local-gov,174575, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,190391, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n64, Private,166715, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K\n41, Self-emp-not-inc,142725, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n37, Private,73471, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,47, United-States, >50K\n51, Private,241745, 5th-6th,3, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K\n35, Private,316141, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,7443,0,40, United-States, <=50K\n61, Local-gov,248595, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n52, Private,90189, 7th-8th,4, Divorced, Priv-house-serv, Own-child, Black, Female,0,0,16, United-States, <=50K\n40, Private,205195, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n20, Private,148940, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Local-gov,298035, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,154728, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,166809, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K\n36, State-gov,97136, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,347623, Masters,14, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K\n40, Private,117917, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K\n45, Private,266860, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,71864, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,35, United-States, <=50K\n47, Private,158451, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,2, United-States, >50K\n24, Private,229826, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K\n19, Private,121788, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K\n40, Private,151365, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n40, Private,360884, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,50, United-States, >50K\n54, Private,36480, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K\n43, Self-emp-not-inc,116666, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,35, United-States, >50K\n63, Local-gov,214143, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Cuba, <=50K\n18, Private,45316, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n19, Private,311974, 1st-4th,2, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K\n49, Self-emp-not-inc,48495, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n27, Private,115945, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n49, Local-gov,170846, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Private,142922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n71, ?,181301, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,286675, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,233168, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,46, United-States, >50K\n30, Private,177304, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n46, Private,336984, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,17, United-States, <=50K\n32, Self-emp-not-inc,379412, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,180778, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,75, United-States, <=50K\n25, Private,141876, Masters,14, Never-married, Prof-specialty, Unmarried, White, Male,0,0,45, ?, <=50K\n22, Private,228306, Some-college,10, Married-AF-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K\n32, Private,329993, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,247469, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K\n51, Private,673764, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,27828,0,40, United-States, >50K\n20, Private,155775, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K\n34, Private,81223, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, <=50K\n40, Private,236021, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n34, State-gov,103371, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,199480, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n53, Private,152657, 10th,6, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n42, Federal-gov,460214, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,91039, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n41, Private,197372, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n64, ?,267198, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K\n30, State-gov,111883, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,66917, 11th,7, Married-civ-spouse, Farming-fishing, Own-child, White, Male,0,0,40, Mexico, <=50K\n19, Private,292583, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n20, Private,391679, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,60, United-States, <=50K\n35, Private,475324, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n33, Self-emp-not-inc,218164, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,101534, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,15, United-States, >50K\n38, Federal-gov,65706, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K\n50, Self-emp-not-inc,156606, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, <=50K\n23, Private,200967, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n30, Local-gov,164493, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K\n33, Private,547886, Bachelors,13, Separated, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, Private,232145, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,96421, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,24, Outlying-US(Guam-USVI-etc), <=50K\n33, Private,554206, Some-college,10, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, Philippines, <=50K\n50, Local-gov,234143, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, >50K\n23, Private,380544, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n36, Local-gov,103886, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n50, State-gov,54709, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,46, United-States, <=50K\n26, Private,276548, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,20, United-States, <=50K\n55, Local-gov,176046, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,2267,40, United-States, <=50K\n37, Private,114605, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,323713, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,261382, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,223548, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, Mexico, <=50K\n47, Self-emp-not-inc,355978, Doctorate,16, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2002,45, United-States, <=50K\n44, Private,107218, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,31717, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,328947, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Private,148431, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,121602, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,244087, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K\n31, Private,83425, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n29, Private,157308, 11th,7, Married-civ-spouse, Handlers-cleaners, Wife, Asian-Pac-Islander, Female,2829,0,14, Philippines, <=50K\n23, Private,57898, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,30, United-States, <=50K\n40, State-gov,175304, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n66, Self-emp-inc,102663, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,99175, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n37, Private,208358, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n69, Private,361561, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,3, United-States, <=50K\n23, Private,215115, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Federal-gov,207066, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n37, Federal-gov,160910, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,64879, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,430035, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,54, Mexico, <=50K\n37, State-gov,74163, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n37, Self-emp-inc,98389, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,386019, 9th,5, Never-married, Farming-fishing, Unmarried, White, Male,0,0,70, United-States, <=50K\n17, Private,112795, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n48, Private,332465, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K\n17, Private,38611, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,23, United-States, <=50K\n55, Private,368797, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K\n35, Private,24106, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n68, ?,108683, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,12, United-States, >50K\n35, Self-emp-not-inc,241998, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n53, Private,312446, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n43, Private,69333, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n36, Private,172538, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,275884, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n45, Private,43479, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K\n34, Private,199864, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,2057,40, United-States, <=50K\n56, Private,235197, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n36, Private,170376, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n22, Private,325179, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K\n19, ?,351195, 9th,5, Never-married, ?, Other-relative, White, Male,0,1719,35, El-Salvador, <=50K\n33, Private,141841, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,36, United-States, <=50K\n48, Private,207817, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,32, Columbia, <=50K\n20, Private,137974, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n64, Self-emp-inc,161325, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1887,50, United-States, >50K\n47, Private,293623, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Dominican-Republic, <=50K\n20, Private,37783, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n44, Federal-gov,308027, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,149218, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,77, United-States, <=50K\n45, Local-gov,374450, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,5178,0,40, United-States, >50K\n45, Local-gov,61885, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, >50K\n27, State-gov,291196, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n41, Private,45366, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, United-States, >50K\n20, Private,203027, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,55, United-States, <=50K\n54, Self-emp-inc,223752, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, ?, >50K\n17, Private,132680, 10th,6, Never-married, Other-service, Own-child, White, Female,0,1602,10, United-States, <=50K\n50, Private,155574, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n31, State-gov,193565, Masters,14, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,123598, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n44, Private,456236, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n49, Private,163229, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n28, Local-gov,419740, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,52, United-States, <=50K\n43, Local-gov,118853, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,4386,0,99, United-States, >50K\n33, Private,31449, Assoc-acdm,12, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n35, Private,204163, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,55, United-States, <=50K\n17, Private,177629, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n25, Private,186370, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,188307, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,55481, Masters,14, Never-married, Tech-support, Unmarried, White, Male,0,0,45, Nicaragua, <=50K\n48, Private,119471, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,56, Philippines, >50K\n61, Local-gov,167347, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K\n41, Private,184378, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,348960, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K\n24, Local-gov,69640, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,297457, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K\n18, Private,279593, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,2, United-States, <=50K\n20, Private,211968, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K\n18, Private,194561, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n23, Private,140414, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, State-gov,24763, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,45, United-States, >50K\n38, State-gov,462832, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, Trinadad&Tobago, <=50K\n36, Private,48972, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Self-emp-not-inc,35032, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n47, Private,228583, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K\n51, Private,392668, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,84, United-States, >50K\n35, Private,108140, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, State-gov,112497, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K\n47, Federal-gov,142581, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K\n26, Private,147982, 11th,7, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, State-gov,440129, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K\n46, Private,200734, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,35, Trinadad&Tobago, <=50K\n49, Private,31807, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,166153, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n45, Self-emp-inc,212954, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n46, Private,52291, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K\n70, Self-emp-not-inc,303588, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, <=50K\n19, Private,96176, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n46, Private,184632, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n20, Private,137618, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,35, United-States, <=50K\n17, Private,160029, 11th,7, Never-married, Other-service, Other-relative, White, Female,0,0,22, United-States, <=50K\n43, Private,178780, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,49, United-States, >50K\n19, Private,39756, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n37, Private,35309, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,117253, HS-grad,9, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Local-gov,303212, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,214542, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,60, Canada, <=50K\n31, Private,342019, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n59, Private,126668, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,50, United-States, >50K\n27, Private,401508, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n40, Private,25005, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,99, United-States, >50K\n30, Self-emp-not-inc,85708, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,115677, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Male,0,0,32, United-States, <=50K\n25, Private,144259, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,50, United-States, <=50K\n22, Private,197583, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K\n21, State-gov,142766, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n67, ?,132626, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K\n35, Self-emp-inc,185621, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, >50K\n54, Local-gov,29887, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,56, United-States, <=50K\n36, Private,117381, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,211482, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n32, Federal-gov,90653, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,1380,40, United-States, <=50K\n55, Private,209535, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n56, Federal-gov,187873, Masters,14, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n19, Private,174732, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,25, United-States, <=50K\n36, Private,297847, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,2001,40, United-States, <=50K\n58, Private,110213, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K\n35, Private,162601, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,108438, 10th,6, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n40, Self-emp-inc,132222, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,174394, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n71, Self-emp-not-inc,322789, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,35, United-States, <=50K\n51, Federal-gov,72436, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,57, United-States, >50K\n27, ?,60726, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n20, Private,190273, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n33, ?,393376, 11th,7, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,140571, Assoc-voc,11, Divorced, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,584790, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n23, Private,197666, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,24, Greece, <=50K\n36, Private,245090, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,50, El-Salvador, <=50K\n42, Private,192569, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,39, United-States, >50K\n31, Local-gov,158291, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,8614,0,40, United-States, >50K\n19, ?,113915, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,10, United-States, <=50K\n38, Local-gov,287658, Masters,14, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K\n22, Private,192455, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n36, Private,317040, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,54, United-States, <=50K\n36, Private,218689, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K\n17, Private,116626, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,1719,18, United-States, <=50K\n30, Federal-gov,48458, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n35, Self-emp-not-inc,241469, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,2635,0,30, United-States, <=50K\n32, Private,167990, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,14084,0,40, United-States, >50K\n42, Private,261929, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K\n54, Private,425804, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n36, Private,33394, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,35, United-States, >50K\n58, Private,72812, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,89040, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n62, Local-gov,164518, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n51, Private,182740, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n52, Private,361875, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n25, Private,197130, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n26, Private,340335, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,293984, 10th,6, Married-civ-spouse, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n59, State-gov,261584, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, Outlying-US(Guam-USVI-etc), <=50K\n21, Private,170302, HS-grad,9, Never-married, Farming-fishing, Other-relative, White, Male,0,0,50, United-States, <=50K\n45, Private,481987, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,18, United-States, >50K\n26, Private,88449, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K\n68, Self-emp-not-inc,261897, 10th,6, Widowed, Farming-fishing, Unmarried, White, Male,0,0,20, United-States, <=50K\n60, Private,250552, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n65, Private,88513, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,18, United-States, <=50K\n41, Private,168293, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n34, Private,283921, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n28, Private,407043, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Private,63745, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n57, Private,49893, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n37, Private,241962, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,338416, 10th,6, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,60, United-States, <=50K\n21, ?,212888, 11th,7, Married-civ-spouse, ?, Wife, White, Female,0,0,56, United-States, <=50K\n57, Federal-gov,310320, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, >50K\n55, Private,359972, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n51, Private,64643, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, ?, <=50K\n56, Private,125000, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,286675, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n18, Private,165532, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K\n48, Private,349986, Assoc-voc,11, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,213140, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n41, Federal-gov,219155, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, India, >50K\n33, Private,183612, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K\n33, Private,391114, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,219632, 5th-6th,3, Married-spouse-absent, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K\n46, Self-emp-inc,320124, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female,15024,0,40, United-States, >50K\n40, Private,799281, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K\n42, Private,657397, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n31, State-gov,373432, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,55, United-States, >50K\n51, Private,168660, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,191149, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,57, United-States, <=50K\n37, Private,356824, HS-grad,9, Separated, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n25, Private,191782, 11th,7, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K\n63, Self-emp-not-inc,29859, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688,0,60, United-States, >50K\n52, Private,204226, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n42, Local-gov,246862, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,3325,0,40, United-States, <=50K\n28, Private,496526, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n30, Private,426431, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K\n34, Private,84154, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n37, Federal-gov,45937, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n31, Private,130021, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,63021, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K\n25, Private,367306, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Private,65624, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,144928, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K\n22, Private,117747, Some-college,10, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n18, Private,266681, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n26, Private,152035, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,190023, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n43, Private,233130, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K\n21, Private,149637, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n62, Federal-gov,224277, Some-college,10, Widowed, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,121559, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Self-emp-not-inc,230951, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,345285, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n65, Self-emp-not-inc,28367, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n41, Private,320744, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,3325,0,50, United-States, <=50K\n31, Private,243773, 9th,5, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n56, Private,151474, 9th,5, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, Private,135465, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n22, Private,210781, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n36, Local-gov,359001, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, <=50K\n48, Private,119471, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K\n30, Private,226396, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K\n35, Private,283122, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K\n37, Self-emp-not-inc,326400, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n32, ?,169186, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,5, United-States, <=50K\n56, Private,158752, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K\n29, ?,208406, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K\n41, Private,96741, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n38, State-gov,255191, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,177733, 9th,5, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,35, Dominican-Republic, <=50K\n54, State-gov,137815, 12th,8, Never-married, Other-service, Own-child, White, Male,4101,0,40, United-States, <=50K\n36, ?,187203, Assoc-voc,11, Divorced, ?, Own-child, White, Male,0,0,50, United-States, <=50K\n42, Private,168515, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,122672, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n21, Private,195199, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K\n69, Local-gov,179813, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,10, United-States, <=50K\n32, Private,178623, Assoc-acdm,12, Never-married, Sales, Not-in-family, Black, Female,0,0,46, Trinadad&Tobago, <=50K\n50, Private,41890, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,373050, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K\n45, Private,80430, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n31, Private,198613, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K\n24, Private,330571, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K\n28, Private,209205, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K\n21, Private,132243, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,5, United-States, <=50K\n43, Self-emp-not-inc,237670, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K\n22, Private,193586, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n62, Self-emp-not-inc,197353, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K\n21, Self-emp-not-inc,74538, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,25, United-States, <=50K\n37, Private,89718, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n34, Private,93169, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n74, Self-emp-not-inc,292915, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1825,12, United-States, >50K\n43, Private,328570, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,38, United-States, <=50K\n25, Private,312157, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,193459, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,236804, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,126223, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n51, State-gov,172281, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K\n64, Private,153894, Bachelors,13, Never-married, Sales, Unmarried, White, Female,0,0,40, Peru, <=50K\n35, Private,331395, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n69, Self-emp-not-inc,92472, 10th,6, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,3273,0,45, United-States, <=50K\n32, Private,318647, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n20, Private,332931, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K\n66, Self-emp-inc,76212, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,301168, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Italy, <=50K\n22, Private,440969, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K\n32, Private,154950, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,218343, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n21, Private,239577, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,247936, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,2, Taiwan, <=50K\n62, Local-gov,203525, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,40, United-States, <=50K\n24, Private,182342, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,25649, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,50, United-States, >50K\n27, Private,243569, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3942,0,40, United-States, <=50K\n38, Private,187870, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,90, United-States, >50K\n20, ?,289116, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,5, United-States, <=50K\n30, Private,487330, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K\n17, ?,34019, 10th,6, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n17, ?,250541, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,8, United-States, <=50K\n21, Self-emp-not-inc,318987, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n56, Self-emp-not-inc,140558, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n59, Local-gov,303455, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,4787,0,60, United-States, >50K\n37, Self-emp-not-inc,76855, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n52, Private,308764, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n50, Federal-gov,339905, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n55, Private,227856, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K\n55, Private,156430, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n45, ?,98265, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n72, Private,116640, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,3471,0,20, United-States, <=50K\n39, Private,187167, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,184078, 12th,8, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,108140, Bachelors,13, Divorced, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K\n44, Private,150533, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,1876,55, United-States, <=50K\n51, Self-emp-not-inc,313702, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,39803, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,1719,36, United-States, <=50K\n25, Private,252752, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Female,0,0,45, United-States, <=50K\n52, Private,111700, Some-college,10, Divorced, Sales, Other-relative, White, Female,0,0,20, United-States, >50K\n45, Private,361842, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n17, Private,231438, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K\n20, Private,178469, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,15, ?, <=50K\n64, Local-gov,116620, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K\n34, Private,112212, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1485,40, United-States, <=50K\n74, Self-emp-not-inc,109101, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,4, United-States, <=50K\n58, Federal-gov,72998, 11th,7, Divorced, Craft-repair, Not-in-family, Black, Female,14084,0,40, United-States, >50K\n44, Private,147265, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n23, State-gov,314645, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n23, Private,444554, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K\n27, Private,129629, Assoc-voc,11, Never-married, Tech-support, Other-relative, White, Female,0,0,36, United-States, <=50K\n34, Private,106761, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n18, Private,189924, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K\n33, Private,311194, 11th,7, Never-married, Sales, Unmarried, Black, Female,0,0,17, United-States, <=50K\n50, Self-emp-not-inc,89737, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n47, Private,49298, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n50, Self-emp-inc,190333, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,55, United-States, >50K\n18, Private,251923, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n49, Local-gov,298445, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,60, United-States, >50K\n34, Private,180284, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K\n51, Private,154342, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K\n56, State-gov,68658, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n64, Private,203783, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,8, United-States, <=50K\n23, Private,250037, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,50, United-States, <=50K\n33, Private,158688, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,214781, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n60, Federal-gov,404023, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,10520,0,40, United-States, >50K\n57, State-gov,109015, 12th,8, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,194630, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n23, Private,239375, Bachelors,13, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Private,35576, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,2415,50, United-States, >50K\n39, Federal-gov,363630, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,7688,0,52, United-States, >50K\n32, Self-emp-not-inc,182926, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,117222, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,15, United-States, <=50K\n30, Private,110643, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,52, United-States, <=50K\n56, Self-emp-not-inc,170217, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K\n34, Private,193285, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,161075, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n59, Private,322691, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n19, Private,229431, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,11, United-States, <=50K\n60, ?,106282, 9th,5, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,105694, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,42, United-States, <=50K\n24, Private,199883, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n41, State-gov,100800, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n23, Private,256278, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Other-relative, Other, Female,0,0,30, El-Salvador, <=50K\n32, Private,156464, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,50, United-States, >50K\n51, Self-emp-inc,129525, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,40, ?, <=50K\n18, Private,285013, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,10, United-States, <=50K\n28, Private,248911, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, ?, <=50K\n33, ?,369386, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,5178,0,40, United-States, >50K\n38, Private,219902, HS-grad,9, Separated, Transport-moving, Unmarried, Black, Female,0,0,30, United-States, <=50K\n29, Private,375482, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, England, <=50K\n25, Private,169124, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n31, Private,183000, Prof-school,15, Never-married, Tech-support, Not-in-family, White, Male,0,0,55, United-States, <=50K\n34, Private,28053, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n34, Private,242984, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,45, United-States, >50K\n66, State-gov,132055, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1825,40, United-States, >50K\n41, Private,212894, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Guatemala, <=50K\n62, Private,223975, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K\n58, Private,357788, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Private,406811, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, Canada, <=50K\n24, Private,154422, Bachelors,13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n47, Private,140644, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,355477, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,25, United-States, <=50K\n32, Private,151773, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n51, State-gov,341548, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,512771, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n60, ?,141580, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,48988, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,201022, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K\n20, Private,82777, HS-grad,9, Married-civ-spouse, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,152676, 7th-8th,4, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, Puerto-Rico, <=50K\n18, Private,115815, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K\n23, Private,168009, 10th,6, Married-civ-spouse, Machine-op-inspct, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n28, Private,213152, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, ?, >50K\n55, Private,89690, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n40, Private,126868, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n52, Private,95128, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n37, Private,185567, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, >50K\n21, Private,301408, Some-college,10, Never-married, Sales, Own-child, White, Female,0,1602,22, United-States, <=50K\n35, Private,216256, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K\n45, Private,182541, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,48, United-States, <=50K\n39, Private,172855, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n54, Private,68684, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n42, Private,364832, 7th-8th,4, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, ?,264300, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K\n59, Self-emp-inc,349910, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,276218, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n22, Private,251196, Some-college,10, Never-married, Protective-serv, Own-child, Black, Female,0,0,20, United-States, <=50K\n33, Private,196898, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,58343, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n18, Self-emp-inc,101061, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,70, United-States, <=50K\n46, Private,415051, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, >50K\n24, Private,174043, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,129460, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,30, Ecuador, <=50K\n21, State-gov,110946, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,43, United-States, <=50K\n22, Private,313873, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K\n61, Private,81132, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,7298,0,40, Philippines, >50K\n56, Federal-gov,255386, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K\n21, Private,191497, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n17, Private,128617, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,26, United-States, <=50K\n29, Private,368949, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, ?, >50K\n28, Local-gov,263600, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n62, Private,257277, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n39, Private,339442, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Male,2176,0,40, United-States, <=50K\n30, Local-gov,289442, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, ?,162667, 11th,7, Never-married, ?, Unmarried, White, Male,0,0,40, El-Salvador, <=50K\n18, Local-gov,466325, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,12, United-States, <=50K\n54, Private,142169, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Private,252079, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n33, State-gov,119628, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, Hong, <=50K\n50, Private,175804, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n57, Private,70720, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,78, United-States, <=50K\n50, State-gov,201513, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n45, Private,257609, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,124692, Some-college,10, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0,0,40, United-States, >50K\n23, Private,268525, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n23, Private,250630, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,180277, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Hungary, <=50K\n39, Self-emp-not-inc,191342, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, South, <=50K\n29, Private,250967, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,48, United-States, >50K\n46, Private,153254, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n18, Private,362600, 5th-6th,3, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n68, Private,171933, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n62, Private,211408, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,48193, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,22463, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,440969, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n21, State-gov,164922, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,134524, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Female,0,0,45, United-States, <=50K\n61, Private,176689, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,220993, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n21, Private,512828, HS-grad,9, Never-married, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K\n36, State-gov,422275, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K\n37, Local-gov,65291, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n69, Private,197080, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,9386,0,60, United-States, >50K\n49, Federal-gov,181657, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n55, Private,190257, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,53, United-States, >50K\n21, Private,238068, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,337046, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,187248, HS-grad,9, Married-civ-spouse, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n20, ?,250037, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,18, ?, <=50K\n46, Private,285750, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,4064,0,55, United-States, <=50K\n23, Private,260617, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,216999, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,531055, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,48, United-States, >50K\n42, State-gov,121265, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,184466, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n45, Private,297676, Assoc-acdm,12, Widowed, Sales, Unmarried, White, Female,0,0,40, Cuba, <=50K\n52, Private,114228, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K\n22, Local-gov,121144, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,18, United-States, <=50K\n20, Private,26842, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,2176,0,40, United-States, <=50K\n27, Private,113054, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,43, United-States, <=50K\n36, Private,256636, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,152246, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,0,52, United-States, <=50K\n38, Private,108140, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n20, ?,203353, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Private,207207, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K\n21, Private,115420, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n33, Private,80058, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Local-gov,48520, Assoc-acdm,12, Never-married, Protective-serv, Unmarried, White, Male,0,0,40, United-States, <=50K\n61, Private,411652, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K\n46, Private,154405, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,45, United-States, <=50K\n55, Local-gov,104917, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n19, State-gov,261422, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n39, Private,48915, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n61, Private,172037, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,144833, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,275116, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n61, ?,72886, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,38, United-States, >50K\n61, Private,103575, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,37, United-States, <=50K\n54, Private,200783, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n50, Self-emp-inc,152810, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,70, Germany, <=50K\n37, Local-gov,44694, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K\n17, ?,48703, 11th,7, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n56, Private,91905, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,4, United-States, <=50K\n31, Private,168906, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K\n32, State-gov,147215, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, >50K\n28, Private,153546, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,35595, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,225507, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n42, Private,345504, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n64, Private,137205, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n29, Private,327779, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,20, United-States, <=50K\n41, ?,213416, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,32, Mexico, <=50K\n45, Private,362883, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n48, Private,131309, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n44, Private,188331, Some-college,10, Separated, Tech-support, Not-in-family, White, Female,0,0,38, United-States, <=50K\n34, Federal-gov,194740, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,43711, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K\n45, Private,187033, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, United-States, <=50K\n23, Private,233923, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n51, Private,84278, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n24, Private,437666, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2885,0,50, United-States, <=50K\n57, Private,186386, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Male,10520,0,40, United-States, >50K\n23, Private,129767, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,1721,40, United-States, <=50K\n34, Private,180284, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,108320, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,4101,0,40, United-States, <=50K\n56, Self-emp-inc,75214, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,32, United-States, >50K\n42, Private,284758, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-inc,188330, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n38, Private,333651, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,70, United-States, >50K\n29, Local-gov,115305, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,40, United-States, >50K\n54, Private,172962, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,1340,40, United-States, <=50K\n40, Private,198096, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,163265, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n35, Federal-gov,128608, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,107460, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,37, United-States, <=50K\n51, Private,251841, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K\n28, Private,403671, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, Mexico, <=50K\n58, Private,159378, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K\n24, Private,170070, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,25, United-States, <=50K\n46, State-gov,192323, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, Private,135796, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,48, United-States, <=50K\n22, Private,232985, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,20, United-States, <=50K\n28, Private,34532, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Male,0,0,30, Jamaica, <=50K\n17, ?,371316, 10th,6, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K\n23, Private,236994, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,60, United-States, <=50K\n19, Private,208366, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n66, State-gov,102640, HS-grad,9, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K\n38, Private,111377, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K\n39, Federal-gov,472166, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n39, ?,86551, 12th,8, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,70943, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,40, United-States, >50K\n39, Private,294919, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K\n22, Private,408383, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n36, Private,255454, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,30, United-States, <=50K\n32, Private,193260, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n29, ?,191935, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Local-gov,125461, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n51, Private,97005, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,183319, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n32, State-gov,167049, 12th,8, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,185216, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n51, Private,161838, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,57, United-States, <=50K\n38, Private,165848, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K\n21, Private,138816, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,20, United-States, <=50K\n33, Self-emp-not-inc,99761, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K\n34, Private,112139, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,129020, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n38, ?,365465, Assoc-voc,11, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K\n27, Self-emp-not-inc,259873, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,60, United-States, >50K\n35, Self-emp-inc,89622, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n29, State-gov,201556, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n40, Private,176286, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n46, Private,192894, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,30, United-States, <=50K\n37, Private,172232, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n38, Self-emp-not-inc,163204, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,25, United-States, <=50K\n37, Private,265737, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1887,60, Cuba, >50K\n44, Private,215304, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,185952, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n38, Private,216845, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,42, United-States, <=50K\n34, Local-gov,35683, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,10, United-States, <=50K\n50, Self-emp-not-inc,371305, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,60, United-States, >50K\n46, Private,102359, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n20, Private,200089, 5th-6th,3, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,30, Guatemala, <=50K\n47, State-gov,207120, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K\n46, Private,295334, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n34, Private,234537, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n61, Private,142922, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n55, State-gov,181641, Some-college,10, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,37, United-States, <=50K\n36, Private,185325, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,35, United-States, <=50K\n28, Private,167336, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,10520,0,40, United-States, >50K\n22, Private,379778, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,176117, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K\n33, Private,100228, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n27, Private,150296, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K\n43, Federal-gov,25005, Masters,14, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013,0,12, United-States, <=50K\n55, Private,134120, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K\n39, Self-emp-not-inc,251710, 10th,6, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,1721,15, United-States, <=50K\n20, Private,653574, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,33, El-Salvador, <=50K\n38, Private,175441, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n30, Private,333119, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,89154, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,42, El-Salvador, <=50K\n60, Private,198727, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K\n43, Private,87284, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,180686, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n23, Private,227070, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,48, El-Salvador, <=50K\n57, Local-gov,189824, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,7298,0,40, United-States, >50K\n25, Local-gov,348986, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K\n38, Private,96185, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,32, United-States, <=50K\n22, Private,112693, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n23, Private,417605, 5th-6th,3, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n61, Self-emp-not-inc,140300, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,44, United-States, <=50K\n28, Private,340408, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,46, United-States, <=50K\n17, ?,187539, 11th,7, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K\n21, Private,237051, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n49, Private,175622, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,389725, 12th,8, Divorced, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K\n23, Private,182812, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, Dominican-Republic, <=50K\n38, Self-emp-not-inc,245372, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,3137,0,50, United-States, <=50K\n34, Local-gov,93886, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,46, United-States, >50K\n21, Private,502837, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, Peru, <=50K\n27, State-gov,212232, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K\n57, Private,300104, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,84, United-States, >50K\n22, Private,156933, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,25, United-States, <=50K\n20, Private,286734, Some-college,10, Never-married, Adm-clerical, Not-in-family, Other, Female,0,0,35, United-States, <=50K\n49, Self-emp-inc,143482, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,65, United-States, >50K\n38, Private,226357, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,104892, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,223194, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1485,40, Haiti, <=50K\n37, Self-emp-not-inc,272090, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K\n57, Private,204816, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n56, Private,230039, 7th-8th,4, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n41, Private,242619, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,80, United-States, <=50K\n50, Self-emp-not-inc,131982, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,60, South, <=50K\n33, Private,87310, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Private,134566, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K\n28, Federal-gov,163862, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K\n35, Private,239409, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,203717, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n45, Private,172274, Doctorate,16, Divorced, Prof-specialty, Unmarried, Black, Female,0,3004,35, United-States, >50K\n30, Self-emp-not-inc,65278, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n35, Self-emp-inc,135289, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K\n27, Private,246974, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,180060, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, Yugoslavia, <=50K\n24, Private,118023, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n47, Private,102308, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n47, Private,45564, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n18, Private,137646, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n18, Private,237646, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n31, Local-gov,189843, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,47, United-States, >50K\n43, Self-emp-not-inc,118261, Masters,14, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n45, Private,288437, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,4064,0,40, United-States, <=50K\n39, Private,106347, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,316471, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K\n22, Private,50058, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n30, Self-emp-not-inc,182089, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,85, United-States, <=50K\n36, Private,186865, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n20, State-gov,158206, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K\n61, ?,229744, 1st-4th,2, Married-civ-spouse, ?, Husband, White, Male,3942,0,20, Mexico, <=50K\n27, Private,141545, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,45, United-States, <=50K\n59, Local-gov,50929, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n60, Private,132529, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,260696, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,231180, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K\n40, Private,223277, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K\n20, Private,279538, 11th,7, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,2961,0,35, United-States, <=50K\n47, Private,46044, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,168071, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n20, Private,79691, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n75, ?,114204, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,13, United-States, <=50K\n25, Private,124111, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Private,104521, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n29, Self-emp-not-inc,128516, Assoc-acdm,12, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, >50K\n34, Private,112564, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n45, State-gov,32186, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,239663, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,2597,0,50, United-States, <=50K\n46, Private,269284, Assoc-acdm,12, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, State-gov,175537, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,38, United-States, <=50K\n29, Private,444304, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,27415, 11th,7, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,20, United-States, <=50K\n39, Private,174343, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,148143, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n34, Private,209213, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, ?, <=50K\n20, Private,165097, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, ?,51574, HS-grad,9, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,1602,38, United-States, <=50K\n52, Private,167651, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n42, Local-gov,29075, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n22, Private,396895, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Mexico, <=50K\n66, State-gov,71075, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n35, Private,129573, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n40, Local-gov,183765, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K\n21, Private,164991, HS-grad,9, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female,0,0,38, United-States, <=50K\n51, Local-gov,154891, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Male,0,0,52, United-States, <=50K\n34, Private,200117, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,176389, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,342567, Bachelors,13, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,178841, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n42, Local-gov,191149, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,29702, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n21, Private,157893, HS-grad,9, Never-married, Transport-moving, Own-child, White, Female,0,0,40, United-States, <=50K\n64, Local-gov,31993, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,10, United-States, <=50K\n24, Federal-gov,210736, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,1974,40, United-States, <=50K\n23, Private,39615, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K\n29, Private,200511, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n44, Self-emp-not-inc,47818, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,60, United-States, <=50K\n28, Private,183155, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n33, Self-emp-inc,374905, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n35, Private,128876, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,202872, 10th,6, Married-spouse-absent, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,153414, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K\n51, Self-emp-not-inc,24790, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, >50K\n32, Private,316769, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,40, Jamaica, <=50K\n37, Private,126569, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,128538, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n24, Private,234640, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n29, ?,65372, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n45, Private,343377, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n52, Federal-gov,30731, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n35, Private,412379, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Self-emp-inc,112320, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n63, Private,181929, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, >50K\n32, Local-gov,100135, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K\n24, Private,128061, HS-grad,9, Never-married, Other-service, Own-child, White, Female,594,0,15, United-States, <=50K\n72, ?,402306, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,32, Canada, <=50K\n35, ?,98389, Some-college,10, Never-married, ?, Unmarried, White, Male,0,0,10, United-States, <=50K\n29, Private,179565, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,64922, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K\n70, Private,102610, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,32, United-States, <=50K\n65, ?,115513, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,5556,0,48, United-States, >50K\n36, Private,150548, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,30, United-States, <=50K\n53, Private,133219, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,4386,0,30, United-States, >50K\n49, Local-gov,67001, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n60, Private,162347, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K\n18, Private,138557, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,170456, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, Italy, <=50K\n42, Private,66006, 10th,6, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n25, State-gov,176077, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,37, United-States, <=50K\n32, Private,218322, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n25, Self-emp-inc,181691, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, ?, <=50K\n47, Private,168232, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K\n30, Private,161690, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, ?,242736, Assoc-acdm,12, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,67317, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,265807, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2051,55, United-States, <=50K\n37, Private,99357, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n56, Private,170070, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n52, State-gov,231166, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,62339, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n29, State-gov,118520, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,42, United-States, <=50K\n45, Private,155659, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n23, Local-gov,157331, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,341762, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n30, Private,164190, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K\n45, Private,83064, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,304283, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n23, Private,436798, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,29302, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, ?, <=50K\n43, Private,104660, Masters,14, Widowed, Exec-managerial, Unmarried, White, Male,4934,0,40, United-States, >50K\n42, Private,79036, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n72, Private,165622, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K\n21, ?,177287, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n57, Private,199847, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n24, Private,22966, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n27, Private,59068, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,77336, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n42, Local-gov,96524, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n17, Private,143868, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K\n48, Private,121424, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n39, Private,176279, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Self-emp-inc,177905, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,70, United-States, >50K\n50, Private,205100, 7th-8th,4, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, ?, <=50K\n57, Private,353881, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n44, Local-gov,177937, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K\n20, ?,122244, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,28, United-States, <=50K\n49, Private,125892, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n44, Private,155472, Assoc-acdm,12, Never-married, Prof-specialty, Unmarried, Black, Female,1151,0,50, United-States, <=50K\n42, Private,355728, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K\n18, ?,245274, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,16, United-States, <=50K\n18, Private,240330, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K\n51, Private,182944, HS-grad,9, Widowed, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,264498, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,110426, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,45, United-States, >50K\n25, Private,166971, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, <=50K\n41, Private,347653, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K\n39, Private,33975, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n42, Self-emp-not-inc,215219, 11th,7, Separated, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K\n33, Private,190772, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,1617,40, United-States, <=50K\n63, ?,331527, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,162494, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,45, United-States, >50K\n27, Local-gov,85918, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,68, United-States, <=50K\n39, Private,91367, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,45, United-States, >50K\n20, Private,182342, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n49, Private,129640, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n70, ?,133536, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,28, United-States, <=50K\n46, Private,148738, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1740,35, United-States, <=50K\n47, Private,102583, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K\n35, Private,111387, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,241752, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n22, ?,334593, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n43, Private,101950, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n60, Local-gov,212856, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n53, Private,183973, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K\n47, Private,142061, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,158615, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,29145, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,40135, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n23, Private,224640, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, ?,146651, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Female,0,0,15, United-States, <=50K\n29, Private,167737, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,50, United-States, <=50K\n23, Private,60331, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,187167, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K\n18, ?,157131, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,12, United-States, <=50K\n27, Local-gov,255237, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n56, ?,192325, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n40, Private,163342, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,70, United-States, <=50K\n31, Private,129775, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K\n18, Private,206008, Some-college,10, Never-married, Sales, Unmarried, White, Male,2176,0,40, United-States, <=50K\n25, Private,397317, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,745768, Some-college,10, Never-married, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K\n38, Private,141550, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Private,35576, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,376383, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,35, Mexico, <=50K\n48, Self-emp-not-inc,200825, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, >50K\n34, ?,362787, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,35, United-States, <=50K\n46, Private,116789, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,160300, HS-grad,9, Married-spouse-absent, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n47, Private,362654, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n21, ?,107801, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,3, United-States, <=50K\n65, Private,170939, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,6723,0,40, United-States, <=50K\n31, Local-gov,224234, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n38, Private,478346, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,40, United-States, >50K\n68, Private,211162, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,147638, Bachelors,13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, Hong, <=50K\n42, Private,104647, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,67365, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,230959, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,1887,40, Philippines, >50K\n39, Private,176335, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,65, United-States, >50K\n31, Self-emp-not-inc,268482, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, State-gov,288731, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K\n36, Private,231082, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n42, State-gov,333530, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K\n62, Private,214288, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,118023, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,24, United-States, <=50K\n21, Private,187088, Some-college,10, Never-married, Adm-clerical, Own-child, Other, Female,0,0,20, Cuba, <=50K\n60, ?,174073, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,133833, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n30, Private,229772, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n64, Private,210082, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,119287, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,28, United-States, >50K\n41, Self-emp-not-inc,111772, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K\n25, Private,122999, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K\n27, Private,44767, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,200574, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,44, United-States, <=50K\n58, Private,236596, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,33124, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,99, United-States, <=50K\n50, Local-gov,308764, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K\n27, Private,103524, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K\n31, ?,99483, HS-grad,9, Never-married, ?, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n50, Private,230951, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,99355, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K\n33, Private,857532, 12th,8, Never-married, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K\n62, Private,81116, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,1974,40, United-States, <=50K\n38, Private,154410, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, Poland, <=50K\n19, Private,198943, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K\n30, Private,311696, 11th,7, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,30, United-States, <=50K\n38, Private,252897, Some-college,10, Divorced, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n42, Self-emp-not-inc,39539, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, >50K\n49, Self-emp-inc,122066, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K\n53, Private,110977, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K\n45, Local-gov,199590, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, Mexico, >50K\n24, Private,202721, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n29, Private,197565, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n24, Private,206827, Some-college,10, Never-married, Sales, Own-child, White, Female,5060,0,30, United-States, <=50K\n38, Federal-gov,190895, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K\n25, Self-emp-inc,158751, Assoc-voc,11, Never-married, Transport-moving, Unmarried, White, Male,0,0,55, United-States, <=50K\n51, State-gov,243631, 10th,6, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n17, ?,219277, 11th,7, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n19, Private,45381, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,8, United-States, <=50K\n38, Private,167482, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K\n60, Private,225014, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,405083, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n66, ?,186061, Some-college,10, Widowed, ?, Unmarried, Black, Female,0,4356,40, United-States, <=50K\n28, Federal-gov,24153, 10th,6, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K\n36, Private,126569, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Ecuador, >50K\n57, ?,137658, HS-grad,9, Married-civ-spouse, ?, Husband, Other, Male,0,0,5, Columbia, <=50K\n24, Private,315476, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,248186, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n29, Self-emp-inc,206903, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K\n67, Self-emp-not-inc,191380, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,25, United-States, >50K\n20, Private,191910, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n21, Private,145119, Some-college,10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K\n20, Private,130840, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Private,33126, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n20, Private,334105, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K\n19, Local-gov,354104, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K\n34, Private,111985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n40, Local-gov,321187, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K\n33, Private,138142, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K\n36, Private,296999, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Female,0,0,37, United-States, <=50K\n43, Private,155106, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,2444,70, United-States, >50K\n41, Local-gov,174491, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n34, State-gov,173266, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n33, Private,25610, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, Other, Male,0,0,40, Japan, >50K\n47, Private,187563, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,196344, 1st-4th,2, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Mexico, <=50K\n40, Private,205047, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K\n28, Private,715938, Bachelors,13, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,224520, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,90, United-States, >50K\n29, Private,229656, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n46, Private,97883, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,131298, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K\n57, Federal-gov,197875, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,172766, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n28, Local-gov,175796, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,51973, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n54, Self-emp-not-inc,28186, Bachelors,13, Divorced, Farming-fishing, Not-in-family, White, Male,27828,0,50, United-States, >50K\n22, Private,291979, 11th,7, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, State-gov,180752, Bachelors,13, Never-married, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K\n50, Private,234657, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n18, Private,39411, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K\n52, State-gov,334273, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n41, Private,192779, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K\n21, ?,105312, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K\n36, Private,171676, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,1741,40, United-States, <=50K\n34, Self-emp-not-inc,182714, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, >50K\n21, Private,231866, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,102102, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n57, ?,50248, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n61, Local-gov,195519, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,25, United-States, <=50K\n22, State-gov,34310, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,25, United-States, <=50K\n33, ?,314913, 11th,7, Divorced, ?, Own-child, White, Male,0,0,53, United-States, <=50K\n36, State-gov,747719, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,50, United-States, >50K\n43, Local-gov,188280, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,914,0,40, United-States, <=50K\n25, Private,110978, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,37, India, >50K\n17, Private,79682, 10th,6, Never-married, Priv-house-serv, Other-relative, White, Male,0,0,30, United-States, <=50K\n45, Private,294671, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,38, United-States, >50K\n30, Private,340899, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,1590,80, United-States, <=50K\n40, Private,192259, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K\n31, Local-gov,190228, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n42, Private,118947, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n53, Private,55861, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,238433, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Cuba, <=50K\n37, State-gov,166744, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K\n54, Private,144586, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n36, Private,134367, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n46, Private,133616, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n46, Private,203039, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n32, Private,217460, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,106733, 11th,7, Never-married, Craft-repair, Own-child, White, Male,594,0,40, United-States, <=50K\n42, State-gov,212027, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n37, Local-gov,126569, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,289960, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n54, Private,174102, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,181716, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n46, Local-gov,172822, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,293091, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,107443, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Portugal, <=50K\n59, Private,95283, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,65278, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n35, Private,220943, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,1594,40, United-States, <=50K\n53, Private,257940, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2829,0,40, United-States, <=50K\n26, Private,134945, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,105582, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,2228,0,50, United-States, <=50K\n46, Private,169324, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,45, Jamaica, <=50K\n44, State-gov,98989, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,38, United-States, >50K\n30, Self-emp-not-inc,113838, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,3137,0,60, Germany, <=50K\n24, Private,143436, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K\n32, Private,143604, 10th,6, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0,0,37, United-States, <=50K\n35, Private,226311, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n67, Private,94610, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K\n56, Self-emp-not-inc,26716, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, >50K\n26, Private,160261, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,20, India, <=50K\n46, Private,117310, Assoc-acdm,12, Widowed, Tech-support, Unmarried, White, Female,6497,0,40, United-States, <=50K\n52, Private,154342, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n38, Self-emp-not-inc,89202, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,174704, HS-grad,9, Divorced, Sales, Unmarried, Black, Male,0,0,50, United-States, <=50K\n53, Private,153486, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,30, United-States, <=50K\n27, Private,360097, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, Private,230356, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,163870, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,199753, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K\n20, Private,333505, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, Nicaragua, <=50K\n60, Local-gov,149281, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n51, Private,138514, Assoc-voc,11, Divorced, Tech-support, Unmarried, Black, Female,0,0,48, United-States, <=50K\n57, Federal-gov,66504, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n59, Private,206487, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n37, Private,170020, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,217605, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, United-States, <=50K\n43, Private,145711, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,72, United-States, >50K\n17, Private,169155, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n45, Private,34127, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n18, Private,110142, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n52, Private,222646, 12th,8, Separated, Machine-op-inspct, Other-relative, White, Female,0,0,40, Cuba, <=50K\n18, Private,182643, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,9, United-States, <=50K\n20, Private,303565, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, Germany, <=50K\n34, Private,140092, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n19, Private,178811, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,20, United-States, <=50K\n18, ?,267399, 12th,8, Never-married, ?, Own-child, White, Female,0,0,12, United-States, <=50K\n17, Local-gov,192387, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,45, United-States, <=50K\n30, Federal-gov,127610, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n29, Private,258862, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Female,0,0,45, United-States, <=50K\n30, Private,225231, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,8614,0,50, United-States, >50K\n18, Private,174926, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,15, ?, <=50K\n50, State-gov,238187, Bachelors,13, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K\n22, Private,191444, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K\n21, Private,198822, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K\n39, Self-emp-not-inc,251323, 9th,5, Married-civ-spouse, Farming-fishing, Other-relative, White, Male,0,0,40, Cuba, <=50K\n20, Private,168187, Some-college,10, Never-married, Other-service, Other-relative, White, Female,4416,0,25, United-States, <=50K\n62, Private,370881, Assoc-acdm,12, Widowed, Other-service, Not-in-family, White, Female,0,0,7, United-States, <=50K\n32, Private,198183, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n38, Private,210610, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,269182, Some-college,10, Separated, Tech-support, Unmarried, Black, Female,3887,0,40, United-States, <=50K\n55, Private,141727, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,3464,0,40, United-States, <=50K\n38, Private,185848, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,70, United-States, >50K\n34, Private,46746, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n28, Private,120475, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n26, Private,135845, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,37, United-States, <=50K\n41, Private,310255, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n61, State-gov,379885, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K\n75, Self-emp-not-inc,31428, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,3456,0,40, United-States, <=50K\n21, Private,211013, Assoc-voc,11, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,50, Mexico, <=50K\n50, Private,175029, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n49, Self-emp-inc,119539, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, ?, >50K\n26, Private,247025, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K\n39, Private,252327, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,0,40, Mexico, <=50K\n24, Self-emp-not-inc,375313, Some-college,10, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n56, Private,107165, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,18, United-States, <=50K\n17, Private,108470, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,17, United-States, <=50K\n37, Private,150057, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K\n23, Private,189468, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K\n28, ?,198393, HS-grad,9, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,181031, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n42, Local-gov,569930, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,27411, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,147397, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K\n39, Private,242922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n54, Private,154949, 11th,7, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, >50K\n41, Self-emp-inc,423217, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n43, Federal-gov,195385, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n19, Private,100009, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,191628, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,340880, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Philippines, >50K\n19, Private,207173, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K\n33, Private,48010, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,229051, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,52, United-States, <=50K\n49, Private,193366, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n31, Private,57781, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K\n69, ?,121136, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,13, United-States, <=50K\n41, Private,433989, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,4386,0,60, United-States, >50K\n24, Private,136687, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Other, Female,0,0,40, United-States, <=50K\n45, State-gov,154117, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, >50K\n63, Private,294009, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K\n75, Private,239038, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, United-States, <=50K\n34, Private,244064, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K\n69, Private,128348, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,9386,0,50, United-States, >50K\n33, Private,66278, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,162643, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K\n45, Private,179659, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K\n18, Private,205218, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n48, Private,154033, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,52, United-States, <=50K\n43, Private,158528, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,366219, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1848,60, United-States, >50K\n35, Private,301862, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n34, Private,228406, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, Private,120131, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,70, United-States, >50K\n54, Local-gov,127943, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n57, Private,301514, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,156980, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,60, United-States, <=50K\n28, Private,124685, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,55, United-States, <=50K\n51, Private,305673, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, >50K\n34, Local-gov,31391, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,53, United-States, >50K\n41, Local-gov,33658, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K\n21, Private,211391, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,27, United-States, <=50K\n26, Private,402998, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,58, United-States, >50K\n66, Private,78855, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n40, Private,320451, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1977,45, Hong, >50K\n48, Private,49278, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, ?,248876, Bachelors,13, Divorced, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K\n41, Private,242586, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,359696, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,15024,0,60, United-States, >50K\n55, Local-gov,296085, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n43, Private,233130, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K\n51, Private,189511, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, Germany, >50K\n31, Private,124420, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,67072, Bachelors,13, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,6849,0,60, United-States, <=50K\n51, Private,194908, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n31, Local-gov,94991, HS-grad,9, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n18, Private,194561, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,37, United-States, <=50K\n60, Private,75726, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,1092,40, United-States, <=50K\n29, Private,60722, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n33, Private,59944, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,220840, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K\n40, Self-emp-inc,104235, Masters,14, Never-married, Other-service, Own-child, White, Male,0,0,99, United-States, <=50K\n57, Private,142714, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K\n55, Local-gov,110490, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, <=50K\n40, Self-emp-not-inc,154076, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n26, State-gov,130557, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K\n29, Private,107108, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n30, Private,207172, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Mexico, <=50K\n29, Private,304595, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n43, Private,475322, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n65, Private,107620, 11th,7, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K\n19, Private,301911, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,35, Laos, <=50K\n35, Private,267866, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,1887,50, Iran, >50K\n28, Private,269786, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,167474, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,115023, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,60, United-States, >50K\n63, Local-gov,86590, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,32, United-States, <=50K\n47, State-gov,187087, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,184307, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,225859, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,2907,0,30, United-States, <=50K\n29, Private,57889, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n59, Private,157932, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,187830, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,62, United-States, >50K\n49, Private,251180, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,2407,0,50, United-States, <=50K\n60, Private,317083, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n35, Self-emp-not-inc,190895, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n48, Federal-gov,328606, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, ?,403860, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,215479, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n56, Private,157639, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n26, Private,152129, 12th,8, Never-married, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K\n53, Private,239284, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n23, Private,234302, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n58, Private,218724, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n61, Private,106330, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,35032, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K\n22, Private,234641, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,170730, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n31, Private,218322, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n90, Private,47929, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,142411, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, ?,219122, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,132887, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,3411,0,40, Jamaica, <=50K\n34, State-gov,44464, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K\n28, Private,180928, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013,0,55, United-States, <=50K\n22, ?,199426, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,139703, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n33, Private,202642, Bachelors,13, Separated, Prof-specialty, Other-relative, Black, Female,0,0,40, Jamaica, <=50K\n17, Private,160049, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K\n38, Private,239755, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Private,152369, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n34, Private,42900, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n72, ?,117017, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K\n57, Private,175017, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Italy, <=50K\n39, Private,342642, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n50, Self-emp-not-inc,143730, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K\n45, Private,191098, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n37, Private,208106, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K\n27, Private,167737, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K\n43, Private,315971, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n41, Private,142717, Some-college,10, Divorced, Tech-support, Unmarried, Black, Female,0,0,36, United-States, <=50K\n20, Private,190227, Masters,14, Never-married, Exec-managerial, Own-child, White, Male,0,0,25, United-States, <=50K\n44, Private,79864, Masters,14, Separated, Exec-managerial, Unmarried, White, Female,0,0,20, United-States, <=50K\n50, Private,34067, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n54, Private,222882, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K\n31, Private,44464, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,1564,60, United-States, >50K\n33, Private,256062, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, Puerto-Rico, <=50K\n22, Private,251073, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K\n46, Private,149949, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,165235, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K\n22, ?,243190, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n59, ?,160662, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2407,0,60, United-States, <=50K\n57, Self-emp-not-inc,175942, Some-college,10, Widowed, Exec-managerial, Other-relative, White, Male,0,0,25, United-States, <=50K\n26, Private,212793, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Local-gov,153312, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n55, Local-gov,173296, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K\n47, Private,120131, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,117444, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,226196, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Private,202872, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n42, Private,176716, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K\n39, Private,82540, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K\n17, ?,41643, 11th,7, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K\n26, Private,197292, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K\n26, Private,76491, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K\n50, Self-emp-inc,101094, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K\n46, Self-emp-not-inc,119944, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n18, Private,141626, Some-college,10, Never-married, Tech-support, Own-child, White, Male,2176,0,20, United-States, <=50K\n26, Private,122575, Bachelors,13, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0,0,60, Vietnam, <=50K\n32, Private,194740, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n50, Private,263200, 5th-6th,3, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,34, Mexico, <=50K\n47, Local-gov,140644, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,202115, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, <=50K\n25, Federal-gov,27142, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n42, Local-gov,318046, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n53, Private,276369, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n30, Private,67187, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Female,0,0,8, United-States, <=50K\n23, Private,133582, 1st-4th,2, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, Mexico, <=50K\n23, Private,216672, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,30, ?, <=50K\n32, Private,45796, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K\n29, Self-emp-inc,31778, HS-grad,9, Separated, Prof-specialty, Other-relative, White, Male,0,0,25, United-States, <=50K\n40, Private,190044, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n45, State-gov,144351, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n17, ?,172145, 10th,6, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K\n55, Private,193130, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n59, Local-gov,140478, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n56, Private,122390, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K\n23, Private,116830, 12th,8, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n37, Local-gov,117683, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,106491, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n22, ?,39803, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n27, Private,363053, 9th,5, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,24, Mexico, <=50K\n21, Private,54472, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n47, Local-gov,200471, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,40, United-States, >50K\n38, Private,54317, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K\n62, Local-gov,113443, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,10520,0,33, United-States, >50K\n27, Private,159623, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n25, ?,161235, Assoc-voc,11, Never-married, ?, Own-child, White, Male,0,0,90, United-States, <=50K\n27, Private,247978, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K\n40, Private,305846, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n22, Self-emp-not-inc,214014, Some-college,10, Never-married, Sales, Own-child, Black, Male,99999,0,55, United-States, >50K\n33, Private,226525, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n28, Private,247819, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,5, United-States, <=50K\n28, Private,194940, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,289991, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,55, United-States, <=50K\n46, Private,585361, 9th,5, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,91145, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n65, ?,231604, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,45, Germany, <=50K\n28, Private,273269, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n39, Private,202683, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,159179, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Private,28952, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,39, United-States, <=50K\n25, ?,214925, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n63, Private,163708, 9th,5, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n56, Private,200235, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n46, Private,109209, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n19, Private,166153, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K\n56, Local-gov,268213, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, ?, >50K\n31, Private,69056, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n51, State-gov,237141, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n17, Private,277541, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,5, United-States, <=50K\n27, Local-gov,289039, Some-college,10, Never-married, Protective-serv, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n30, Private,134737, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,45, United-States, <=50K\n18, Private,56613, Some-college,10, Never-married, Protective-serv, Own-child, White, Female,0,0,20, United-States, <=50K\n41, Private,36699, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,4650,0,40, United-States, <=50K\n40, Local-gov,333530, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K\n35, Private,185366, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n29, Private,154017, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,10, United-States, <=50K\n27, Private,215504, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1848,55, United-States, >50K\n25, Private,222539, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,2597,0,50, United-States, <=50K\n53, Private,191565, 1st-4th,2, Divorced, Other-service, Unmarried, Black, Female,0,0,40, Dominican-Republic, <=50K\n53, Private,111939, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K\n26, State-gov,53903, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n41, Private,146659, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K\n28, Private,194200, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n48, State-gov,78529, Masters,14, Separated, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K\n22, Private,194829, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K\n40, Federal-gov,330174, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n52, Self-emp-inc,230767, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, Cuba, >50K\n53, Local-gov,137250, Masters,14, Widowed, Prof-specialty, Unmarried, Black, Female,0,1669,35, United-States, <=50K\n40, Private,254478, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K\n57, Private,300908, Assoc-acdm,12, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,75, United-States, <=50K\n53, Self-emp-not-inc,187830, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, Poland, <=50K\n23, Private,201138, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K\n31, Self-emp-not-inc,44503, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,381357, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,28, United-States, <=50K\n25, Private,311124, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n37, Private,96330, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n50, Private,228238, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n34, Self-emp-not-inc,56964, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n37, Private,127772, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n52, Private,386397, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n29, Self-emp-not-inc,404998, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,90, United-States, <=50K\n49, Private,34545, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n31, Private,157886, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K\n47, Private,101299, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,134447, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K\n27, Private,191822, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K\n23, Private,70919, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n55, Private,266343, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,46, United-States, <=50K\n28, Private,87239, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n31, Local-gov,236487, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Germany, <=50K\n30, Private,224147, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K\n23, Private,197200, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,60, United-States, <=50K\n19, Private,124265, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K\n22, Private,79980, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K\n50, Private,128814, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K\n64, ?,208862, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K\n21, Private,51262, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K\n75, Self-emp-inc,98116, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K\n29, Private,82393, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, Germany, <=50K\n47, Private,57534, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n20, Private,218962, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,204752, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Private,243631, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, China, >50K\n41, Private,170299, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, <=50K\n23, Private,60331, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n38, Private,269318, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,50, United-States, >50K\n67, State-gov,132819, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,41, United-States, >50K\n21, Private,119665, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,35, United-States, <=50K\n38, Private,150057, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K\n31, Private,128567, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n19, ?,230874, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n59, Self-emp-not-inc,148526, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n36, Private,160192, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,74660, Some-college,10, Widowed, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-inc,142494, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,122042, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n28, Self-emp-inc,37088, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n36, Private,61778, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n21, ?,176356, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, Germany, <=50K\n27, Private,123302, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Poland, <=50K\n18, Private,89760, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n44, Local-gov,165304, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,40, United-States, >50K\n56, Private,104945, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K\n51, Self-emp-inc,192973, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K\n48, Private,97863, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Italy, >50K\n31, Private,73585, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n35, Private,29145, Assoc-voc,11, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n35, Private,175232, HS-grad,9, Divorced, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n36, Private,325374, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,107231, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,65, United-States, <=50K\n23, Private,129345, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K\n21, Private,228395, Some-college,10, Never-married, Sales, Other-relative, Black, Female,0,0,20, United-States, <=50K\n49, Private,452402, Some-college,10, Separated, Exec-managerial, Unmarried, Black, Female,0,0,60, United-States, <=50K\n51, Self-emp-inc,338260, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K\n46, Private,165138, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,109055, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,3137,0,45, United-States, <=50K\n27, Private,193122, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n56, ?,425497, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n48, Private,191858, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,297155, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n29, Local-gov,181282, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n50, Federal-gov,111700, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n18, Private,35065, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n37, Private,298539, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,55, United-States, >50K\n51, Self-emp-not-inc,95435, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n31, Private,162160, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, <=50K\n29, Private,176037, Assoc-voc,11, Divorced, Tech-support, Not-in-family, Black, Male,14344,0,40, United-States, >50K\n39, Private,314007, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, United-States, <=50K\n48, Private,197683, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K\n44, Private,242521, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,50, United-States, >50K\n39, Private,290321, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n22, Local-gov,44064, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n27, ?,174163, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K\n42, Private,374790, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,231562, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,33, United-States, <=50K\n27, Private,376150, Some-college,10, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n51, Private,99987, 10th,6, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n27, Self-emp-not-inc,120126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n60, Self-emp-not-inc,33717, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n36, Private,132879, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Italy, <=50K\n45, Private,304570, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, China, >50K\n40, Private,100292, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, >50K\n63, Private,117473, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386,0,40, United-States, >50K\n41, Private,239833, HS-grad,9, Married-spouse-absent, Transport-moving, Unmarried, Black, Male,0,0,50, United-States, <=50K\n53, ?,155233, 12th,8, Married-civ-spouse, ?, Wife, White, Female,0,0,40, Italy, <=50K\n34, Private,130369, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Female,1151,0,48, Germany, <=50K\n34, Private,347166, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,502752, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K\n22, State-gov,255575, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K\n49, Private,277946, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n43, ?,214541, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K\n36, Private,143123, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n27, Private,69132, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,37, United-States, <=50K\n52, Self-emp-not-inc,34973, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1887,60, United-States, >50K\n29, Private,236992, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,50, United-States, <=50K\n27, Private,492263, 10th,6, Separated, Machine-op-inspct, Own-child, White, Male,0,0,35, Mexico, <=50K\n42, Private,180019, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,65, United-States, <=50K\n49, Self-emp-not-inc,47086, Bachelors,13, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,222853, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K\n22, Private,344176, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,20, United-States, <=50K\n30, Self-emp-not-inc,223212, Bachelors,13, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K\n28, Private,110981, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n20, Private,162688, Assoc-voc,11, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-inc,181307, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,43, United-States, >50K\n39, Private,148903, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,4687,0,50, United-States, >50K\n43, Private,306440, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,66, France, <=50K\n18, Private,210311, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n53, Private,127117, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n74, Private,54732, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, >50K\n39, Private,271521, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,48, Philippines, >50K\n33, ?,216908, 10th,6, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K\n49, Private,543922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K\n21, Private,766115, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,35, United-States, <=50K\n65, ?,52728, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,284166, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1564,50, United-States, >50K\n49, Private,122206, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K\n20, ?,95989, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n47, Private,334039, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,44, United-States, >50K\n46, Self-emp-not-inc,225456, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,112847, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,7298,0,32, United-States, >50K\n61, Self-emp-not-inc,171840, HS-grad,9, Widowed, Prof-specialty, Unmarried, White, Female,0,0,16, United-States, <=50K\n48, Private,180695, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n44, Private,121012, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-inc,126569, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n45, Private,227791, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1740,50, United-States, <=50K\n51, Self-emp-not-inc,290290, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n33, Local-gov,251521, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n55, Self-emp-not-inc,41938, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,8, United-States, <=50K\n25, Private,27678, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,60, United-States, <=50K\n26, Private,133756, HS-grad,9, Divorced, Farming-fishing, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n54, Private,215990, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,461337, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,33, United-States, <=50K\n39, Local-gov,344855, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,20, United-States, >50K\n20, State-gov,214542, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Private,258170, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Federal-gov,242147, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Other, Male,0,0,45, United-States, <=50K\n42, Private,235700, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,278130, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, Private,261241, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n60, Private,85995, Masters,14, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,50, South, >50K\n42, Private,340885, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,44, United-States, <=50K\n42, Private,152889, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n46, Private,195023, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Columbia, <=50K\n52, State-gov,109600, Masters,14, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,4787,0,44, United-States, >50K\n27, ?,249463, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n43, Private,158177, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n43, State-gov,47818, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,391468, 11th,7, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Local-gov,199995, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, United-States, >50K\n31, Private,231043, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n38, ?,281768, 7th-8th,4, Divorced, ?, Unmarried, Black, Female,0,0,30, United-States, <=50K\n44, Private,267790, 9th,5, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n27, Private,217379, Some-college,10, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Private,421561, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n23, Private,50953, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n22, Private,138504, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,30, United-States, <=50K\n36, State-gov,177064, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,103064, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,3674,0,40, United-States, <=50K\n59, Private,184493, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,104089, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n23, Private,149204, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,405284, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1340,42, United-States, <=50K\n25, Local-gov,137296, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Black, Female,0,0,38, United-States, <=50K\n40, Private,87771, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,1628,45, United-States, <=50K\n38, State-gov,125499, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7688,0,60, India, >50K\n31, Private,59083, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K\n28, Local-gov,138332, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n24, Private,198914, HS-grad,9, Never-married, Sales, Unmarried, Black, Male,0,0,25, United-States, <=50K\n46, Local-gov,238162, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,50, United-States, >50K\n29, Private,123677, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female,0,0,40, Laos, <=50K\n38, Federal-gov,325538, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n53, Private,251063, Some-college,10, Separated, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Private,51471, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,1902,40, United-States, >50K\n39, Private,175681, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,60, ?, <=50K\n44, Private,165599, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n46, Private,149640, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, England, >50K\n30, Private,143526, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n24, Private,211160, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,342989, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n62, Self-emp-not-inc,173631, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K\n25, Private,141876, HS-grad,9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K\n45, Private,137604, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n21, Private,129232, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n64, Federal-gov,271550, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,456922, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n60, Private,232242, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,352188, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,114967, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Private,201981, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n32, State-gov,159247, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,125905, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,186824, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n42, Local-gov,121012, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n58, Private,110844, Masters,14, Widowed, Sales, Not-in-family, White, Female,0,0,27, United-States, <=50K\n23, Private,143003, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1887,50, India, >50K\n31, Federal-gov,59732, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n28, Private,178489, Bachelors,13, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,45, ?, <=50K\n41, ?,252127, Some-college,10, Widowed, ?, Unmarried, Black, Female,0,0,20, United-States, <=50K\n37, Private,109633, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,16, United-States, >50K\n19, Private,160811, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,38, United-States, <=50K\n27, Self-emp-not-inc,365110, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K\n61, Self-emp-not-inc,113080, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,58, United-States, >50K\n39, Private,206074, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n25, Private,173062, Bachelors,13, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K\n58, Private,117273, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n27, Self-emp-not-inc,153805, Some-college,10, Married-civ-spouse, Transport-moving, Other-relative, Other, Male,0,0,50, Ecuador, >50K\n51, Private,293802, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,52, United-States, <=50K\n43, Local-gov,153132, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n46, Private,166809, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n67, ?,34122, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n50, Local-gov,231725, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,63210, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K\n35, Private,108293, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, >50K\n57, Private,116878, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Italy, <=50K\n40, Private,110622, Prof-school,15, Married-civ-spouse, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n42, Local-gov,180318, 10th,6, Never-married, Farming-fishing, Unmarried, White, Male,0,0,35, United-States, <=50K\n67, Self-emp-inc,112318, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,252079, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688,0,44, United-States, >50K\n30, Private,27153, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n26, Private,73312, 11th,7, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,15, United-States, <=50K\n51, Private,145409, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n38, Private,167882, Some-college,10, Widowed, Other-service, Other-relative, Black, Female,0,0,45, Haiti, <=50K\n24, Private,236696, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K\n48, Self-emp-not-inc,28791, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K\n34, State-gov,118551, Bachelors,13, Married-civ-spouse, Tech-support, Own-child, White, Female,5178,0,25, ?, >50K\n70, Private,187292, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,6418,0,40, United-States, >50K\n35, Private,189922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n61, ?,584259, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, >50K\n26, Private,173992, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n64, Private,253759, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,3, United-States, <=50K\n26, Private,111243, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n39, Self-emp-not-inc,147850, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K\n55, Private,171015, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,36, United-States, <=50K\n23, Private,118023, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, ?, <=50K\n33, Self-emp-not-inc,361497, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n31, Private,137290, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n28, Local-gov,401886, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,20, United-States, <=50K\n50, Private,201882, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K\n26, Local-gov,30793, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,55, United-States, >50K\n44, Federal-gov,139161, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, Black, Female,0,1741,40, United-States, <=50K\n51, Private,210736, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n34, Private,167781, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K\n37, Private,103986, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,39, United-States, >50K\n29, Private,144592, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,493034, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n27, Private,184078, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n44, Private,191814, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n24, Private,329852, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,223660, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n47, Private,177087, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, >50K\n30, Private,143766, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n35, Private,234271, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Federal-gov,314822, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n42, Private,195584, Assoc-acdm,12, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n70, Self-emp-inc,207938, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2377,50, United-States, >50K\n41, Private,126850, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n36, Private,279485, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K\n44, Private,267717, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K\n42, ?,175935, HS-grad,9, Separated, ?, Unmarried, White, Male,0,0,40, United-States, <=50K\n20, Private,163665, Some-college,10, Never-married, Transport-moving, Own-child, White, Female,0,0,17, United-States, <=50K\n29, Private,200468, 10th,6, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,91501, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K\n30, Private,182771, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n59, Self-emp-not-inc,56392, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1579,60, United-States, <=50K\n31, Private,20511, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n21, Private,538822, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, Mexico, <=50K\n26, Private,332008, Some-college,10, Never-married, Craft-repair, Unmarried, Asian-Pac-Islander, Male,0,0,37, Taiwan, <=50K\n57, Self-emp-inc,220789, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n59, Self-emp-not-inc,114760, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, >50K\n87, ?,90338, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,2, United-States, <=50K\n25, Private,181576, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K\n39, Private,198841, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K\n53, Private,53197, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K\n32, State-gov,542265, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,193026, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,25505, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K\n17, Private,375657, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K\n44, Private,201599, 11th,7, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,181820, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K\n57, Private,334224, Some-college,10, Married-civ-spouse, Craft-repair, Wife, White, Female,9386,0,40, United-States, >50K\n30, State-gov,54318, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,141388, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K\n54, Self-emp-not-inc,57101, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K\n44, Private,168515, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Germany, <=50K\n60, Private,163665, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,16, United-States, >50K\n28, Private,207513, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,42, United-States, >50K\n39, Private,293291, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K\n55, Private,70088, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,199346, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n55, Local-gov,143949, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,3103,0,45, United-States, >50K\n33, Private,207201, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, >50K\n30, Private,430283, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298,0,40, United-States, >50K\n40, Local-gov,293809, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K\n30, Private,378009, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n40, Private,226608, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,30, Guatemala, >50K\n24, Private,314182, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,0,0,50, United-States, <=50K\n18, Private,170544, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K\n18, Private,94196, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,25, United-States, <=50K\n49, Private,193047, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n42, Private,112607, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n28, Local-gov,146949, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,309513, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n48, Self-emp-not-inc,191389, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K\n24, Private,213902, 7th-8th,4, Never-married, Priv-house-serv, Own-child, White, Female,0,0,32, El-Salvador, <=50K\n73, Self-emp-not-inc,46514, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,25, United-States, <=50K\n35, Private,75855, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7298,0,40, ?, >50K\n23, Private,38707, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K\n19, Private,188568, Some-college,10, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,215014, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, Mexico, <=50K\n27, Private,184477, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,204235, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,39054, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K\n64, Self-emp-inc,272531, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,358701, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,10, Mexico, <=50K\n47, Private,217750, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K\n22, Private,200374, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,35, United-States, <=50K\n24, Private,498349, Bachelors,13, Never-married, Transport-moving, Unmarried, Black, Female,0,0,40, United-States, <=50K\n69, State-gov,170458, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K\n40, Self-emp-not-inc,57233, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n45, Private,188432, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,33300, Assoc-acdm,12, Never-married, Farming-fishing, Other-relative, White, Male,10520,0,45, United-States, >50K\n31, Private,225779, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n48, Private,46677, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,42, United-States, <=50K\n41, Private,227968, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,35, Haiti, >50K\n34, Private,85355, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n48, Private,207120, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n28, Local-gov,229223, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,36, United-States, >50K\n20, Private,224640, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K\n39, Private,139012, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n40, Federal-gov,130749, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n28, Private,204516, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K\n20, Private,105479, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n41, Private,197093, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n49, Self-emp-inc,431245, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,155150, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n35, State-gov,216035, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,388247, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Private,208908, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n23, Private,259301, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,69333, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,4386,0,80, United-States, >50K\n34, Private,167893, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,64, United-States, >50K\n32, Federal-gov,386877, Assoc-voc,11, Never-married, Tech-support, Own-child, Black, Male,4650,0,40, United-States, <=50K\n54, Private,146551, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,54, United-States, >50K\n48, Private,238360, Bachelors,13, Separated, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n38, Private,187748, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n48, State-gov,50748, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,50136, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, El-Salvador, <=50K\n42, Private,111483, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K\n31, Private,298871, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K\n27, Private,147340, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, >50K\n57, Private,132704, Masters,14, Separated, Prof-specialty, Not-in-family, White, Male,10520,0,32, United-States, >50K\n46, State-gov,327786, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,3325,0,42, United-States, <=50K\n44, Federal-gov,243636, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n42, Local-gov,194417, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n24, Private,236696, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Private,337130, 1st-4th,2, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n29, Private,273051, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,52, Yugoslavia, >50K\n38, Private,186191, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K\n33, Private,268451, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n61, Private,154600, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,4, United-States, <=50K\n49, Local-gov,405309, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n51, Self-emp-not-inc,99185, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n42, Private,191765, HS-grad,9, Divorced, Other-service, Other-relative, Black, Female,0,0,35, United-States, <=50K\n21, Private,253583, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n29, ?,297054, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n54, Private,204397, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n23, Private,288771, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K\n52, Private,173987, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n28, Local-gov,33662, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298,0,40, United-States, >50K\n23, Private,91658, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K\n43, Private,226902, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, >50K\n45, Private,232586, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n51, Self-emp-not-inc,291755, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, <=50K\n29, ?,207032, HS-grad,9, Married-spouse-absent, ?, Unmarried, Black, Female,0,0,42, Haiti, <=50K\n23, Private,161478, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n73, Self-emp-not-inc,109833, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n47, Self-emp-not-inc,229394, 11th,7, Divorced, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K\n61, ?,69285, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,37, United-States, <=50K\n26, Private,491862, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n40, Private,311534, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n32, Self-emp-not-inc,420895, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,47, United-States, <=50K\n39, Private,226374, 10th,6, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n33, Federal-gov,101345, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,48779, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K\n42, Private,152676, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,164877, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n33, Private,97521, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n47, Private,88564, 5th-6th,3, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,20, United-States, <=50K\n33, Private,188246, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,189185, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n42, State-gov,163069, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n28, Private,251905, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,112403, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K\n18, Private,36882, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n33, Self-emp-not-inc,195891, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n36, Private,194905, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,44, United-States, <=50K\n33, Private,133503, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,48, United-States, >50K\n40, Private,31621, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n57, Self-emp-not-inc,413373, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K\n40, Private,196029, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,45, United-States, <=50K\n36, Private,107302, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K\n45, Private,151267, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, >50K\n52, Private,256861, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,82777, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Private,147430, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, ?,60726, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K\n46, Self-emp-not-inc,165754, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n36, Private,448337, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, Private,185079, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n36, Private,418702, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n48, Private,41504, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K\n21, Private,387335, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,1719,9, United-States, <=50K\n18, Private,261720, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n38, Private,133963, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K\n66, ?,357750, 11th,7, Widowed, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n36, State-gov,179488, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,55, United-States, >50K\n38, Private,60135, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K\n55, Self-emp-not-inc,308746, Prof-school,15, Widowed, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K\n27, Private,278720, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K\n22, State-gov,477505, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n29, Private,164711, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K\n40, Private,208277, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K\n21, Private,39943, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n49, Private,104542, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n29, Private,286634, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K\n28, Private,142712, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n26, Private,336404, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n33, Private,117983, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,41, United-States, <=50K\n72, ?,108796, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n59, Private,59469, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Iran, <=50K\n37, Private,171968, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n56, ?,119254, 10th,6, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,278617, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n39, Private,72338, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n49, Local-gov,343231, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,80, United-States, <=50K\n30, Private,63910, HS-grad,9, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K\n28, Private,190350, 9th,5, Married-civ-spouse, Protective-serv, Wife, Black, Female,0,0,40, United-States, <=50K\n25, State-gov,176162, Bachelors,13, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,37720, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n25, Private,421467, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,26, United-States, <=50K\n36, Private,138441, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n52, Private,146767, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n20, ?,369678, 12th,8, Never-married, ?, Not-in-family, Other, Male,0,1602,40, United-States, <=50K\n25, Private,160445, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n26, Private,211695, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,102346, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,2415,20, United-States, >50K\n48, Private,128796, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n39, Private,111129, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n30, Local-gov,44566, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n26, Private,118497, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n36, Private,334291, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K\n49, Private,237920, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n34, Local-gov,136331, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K\n28, Private,187397, HS-grad,9, Never-married, Other-service, Other-relative, Other, Male,0,0,48, Mexico, <=50K\n28, Self-emp-not-inc,119793, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n42, Private,24982, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n26, Self-emp-not-inc,231714, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n54, Private,229272, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K\n66, ?,68219, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n61, Self-emp-not-inc,268831, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,53, United-States, <=50K\n45, Self-emp-not-inc,149640, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, >50K\n29, Private,261725, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K\n74, Private,161387, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,16, United-States, <=50K\n61, Local-gov,260167, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,200928, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,22, United-States, <=50K\n53, Federal-gov,155594, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n57, Self-emp-not-inc,79539, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n41, Private,469454, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,331482, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n43, Private,225193, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n26, ?,370727, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,1977,40, United-States, >50K\n29, Private,82393, HS-grad,9, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,25, Philippines, <=50K\n65, ?,37170, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K\n41, Private,58484, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K\n31, Local-gov,156464, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Male,0,0,40, ?, <=50K\n50, Private,344621, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n52, Private,174752, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n18, Self-emp-inc,174202, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K\n26, Private,261203, 7th-8th,4, Never-married, Other-service, Unmarried, Other, Female,0,0,30, ?, <=50K\n57, Private,316000, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n63, State-gov,216871, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1740,40, United-States, <=50K\n29, Private,246933, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, Mexico, <=50K\n32, Self-emp-not-inc,112115, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K\n34, Private,264651, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,99185, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,58, United-States, <=50K\n39, Private,176186, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,100219, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,45, United-States, <=50K\n32, Private,46691, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, State-gov,297735, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,90, United-States, <=50K\n40, Private,132222, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,50, United-States, >50K\n25, Private,189656, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,60, United-States, >50K\n54, Local-gov,224934, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n48, Self-emp-inc,149218, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, >50K\n51, Private,158508, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,36, United-States, <=50K\n67, State-gov,261203, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K\n17, Private,309504, 10th,6, Never-married, Sales, Unmarried, White, Female,0,0,24, United-States, <=50K\n24, State-gov,324637, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,267426, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n68, ?,229016, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, <=50K\n54, Private,46401, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,47, United-States, <=50K\n32, Private,114288, HS-grad,9, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n61, ?,203849, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n41, Federal-gov,193882, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,311269, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Private,156117, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K\n64, ?,169917, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K\n51, Private,222615, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n41, State-gov,106900, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,60, United-States, >50K\n40, Federal-gov,78036, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,65, United-States, >50K\n27, Private,380560, HS-grad,9, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, Mexico, <=50K\n41, Private,167106, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,3103,0,35, Philippines, >50K\n51, Private,289436, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n36, Private,749636, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-inc,154120, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,55, United-States, <=50K\n43, Private,105119, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n61, Federal-gov,181081, HS-grad,9, Divorced, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K\n31, Private,182237, 10th,6, Separated, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K\n34, Private,102130, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K\n43, Private,266324, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,99, United-States, >50K\n52, Private,170562, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,240543, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K\n37, Federal-gov,187046, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n60, Private,389254, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n47, Private,179955, Some-college,10, Widowed, Transport-moving, Unmarried, White, Female,0,0,25, Outlying-US(Guam-USVI-etc), <=50K\n21, Private,197997, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K\n34, Self-emp-inc,343789, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K\n28, Private,191088, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,1741,52, United-States, <=50K\n40, Local-gov,141649, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,433906, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n48, Private,207982, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n46, Private,175925, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K\n58, Private,85767, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K\n32, Self-emp-inc,281030, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n90, ?,313986, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n38, Private,396595, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K\n20, ?,189203, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,0,0,20, United-States, <=50K\n43, Self-emp-not-inc,163108, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K\n17, Private,141590, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,12, United-States, <=50K\n36, Private,137421, 12th,8, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male,0,0,45, ?, <=50K\n36, Private,67728, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, Italy, <=50K\n30, Private,345522, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,70, United-States, >50K\n45, Private,330087, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,204322, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,50295, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K\n35, Self-emp-not-inc,147258, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,65, United-States, <=50K\n19, Private,194260, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n56, Private,437727, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n64, ?,34100, Some-college,10, Widowed, ?, Not-in-family, White, Male,0,0,4, United-States, <=50K\n62, ?,186611, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K\n24, Private,280960, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,24, United-States, <=50K\n33, Private,33117, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,169628, Bachelors,13, Never-married, Sales, Unmarried, Black, Female,0,0,35, United-States, >50K\n22, State-gov,124942, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,45, United-States, <=50K\n44, Private,143368, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,55, United-States, <=50K\n37, Private,255621, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n34, Self-emp-inc,154227, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,75, United-States, <=50K\n43, Private,171438, Assoc-voc,11, Separated, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K\n39, Private,191524, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n30, Private,377017, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,32, United-States, <=50K\n58, Private,192806, 7th-8th,4, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,33, United-States, <=50K\n31, ?,259120, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,10, United-States, <=50K\n45, Local-gov,234195, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n30, Private,147596, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n42, Private,147251, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, <=50K\n50, Private,176157, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n25, Local-gov,176162, Assoc-voc,11, Never-married, Protective-serv, Own-child, White, Male,0,0,30, United-States, <=50K\n34, Private,384150, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,107665, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n72, ?,82635, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n60, State-gov,165827, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n41, Private,287306, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K\n71, Self-emp-not-inc,78786, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,10, United-States, <=50K\n40, Self-emp-not-inc,33310, Prof-school,15, Divorced, Other-service, Not-in-family, White, Female,0,2339,35, United-States, <=50K\n22, Private,349368, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,30, United-States, <=50K\n52, Private,117674, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K\n30, Private,310889, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, United-States, <=50K\n36, ?,187167, HS-grad,9, Separated, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K\n40, Private,379919, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n31, Federal-gov,34862, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n44, Private,201723, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K\n38, Local-gov,161463, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K\n46, Private,186410, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K\n57, Federal-gov,62020, Prof-school,15, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,55, United-States, >50K\n39, Private,42044, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n42, Private,170230, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, >50K\n43, Private,341358, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,199426, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,17, United-States, <=50K\n44, Private,89172, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n22, ?,148955, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,15, South, <=50K\n37, Private,140673, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n20, ?,71788, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,18, United-States, <=50K\n26, State-gov,326033, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,80, United-States, <=50K\n35, Private,129305, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K\n28, Private,171067, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K\n34, Private,143582, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Japan, <=50K\n17, ?,171461, 10th,6, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n18, Private,257980, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n25, Private,182866, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-inc,69333, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n61, Private,668362, 1st-4th,2, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,132879, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n61, Private,181219, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,40, United-States, >50K\n19, ?,166018, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n22, Private,120518, HS-grad,9, Widowed, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n19, Private,183532, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K\n45, Private,49298, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K\n20, Private,157332, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n37, Private,213726, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n26, Private,31143, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n17, ?,256173, 10th,6, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K\n26, Private,184872, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, >50K\n58, Private,202652, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, Dominican-Republic, <=50K\n61, ?,101602, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, >50K\n64, Private,60940, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,8614,0,50, France, >50K\n19, Private,292590, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,25, United-States, <=50K\n36, Private,141420, Bachelors,13, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K\n47, Private,159389, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n62, Private,254534, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n36, State-gov,89508, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n38, Self-emp-not-inc,238980, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K\n54, Private,178946, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K\n31, Private,204752, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n26, Private,290213, Some-college,10, Separated, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n50, Private,102615, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K\n41, Private,291965, Some-college,10, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n52, Local-gov,175339, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n28, Private,90547, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,23, United-States, <=50K\n23, ?,449101, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n46, Self-emp-not-inc,101722, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137,0,40, United-States, <=50K\n32, ?,981628, HS-grad,9, Divorced, ?, Unmarried, Black, Male,0,0,40, United-States, <=50K\n59, ?,147989, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K\n30, Self-emp-inc,204470, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,36, United-States, >50K\n58, Local-gov,311409, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7688,0,30, United-States, >50K\n31, Private,190027, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,40, ?, <=50K\n36, Private,218015, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K\n31, State-gov,77634, Preschool,1, Never-married, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K\n52, Self-emp-not-inc,42984, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K\n29, Private,413297, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3411,0,70, Mexico, <=50K\n48, Self-emp-not-inc,218835, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, England, <=50K\n30, Private,341051, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n58, Private,252419, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K\n20, Federal-gov,347935, Some-college,10, Never-married, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K\n19, Private,237848, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,3, United-States, <=50K\n63, Private,174826, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n51, Self-emp-not-inc,170086, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K\n53, Private,470368, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,48, United-States, <=50K\n54, Federal-gov,75235, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K\n35, ?,35854, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K\n26, Private,746432, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,48, United-States, <=50K\n47, Self-emp-not-inc,258498, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,52, United-States, <=50K\n44, Private,176063, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n80, Self-emp-not-inc,26865, 7th-8th,4, Never-married, Farming-fishing, Unmarried, White, Male,0,0,20, United-States, <=50K\n55, Private,104724, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n43, Private,346321, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n49, Private,402462, Bachelors,13, Married-spouse-absent, Transport-moving, Unmarried, White, Male,0,0,30, Columbia, <=50K\n27, Private,153078, Prof-school,15, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K\n42, Private,176063, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K\n39, Private,451059, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n36, ?,229533, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,106437, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n58, Local-gov,294313, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,55, United-States, <=50K\n63, Private,67903, 9th,5, Separated, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n49, Private,133669, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n36, Self-emp-inc,251730, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, >50K\n46, Private,72896, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n47, Private,155664, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, United-States, >50K\n39, Private,206520, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K\n33, Private,72338, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,65, Japan, >50K\n43, Local-gov,34640, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0,1887,40, United-States, >50K\n30, Private,236543, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,68, United-States, <=50K\n39, Local-gov,43702, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,37, United-States, <=50K\n44, Private,335248, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,198197, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K\n80, ?,281768, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,4, United-States, <=50K\n31, Private,160594, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Male,0,0,3, United-States, <=50K\n34, Local-gov,231826, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, El-Salvador, <=50K\n28, Private,188171, Assoc-acdm,12, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K\n55, Private,125000, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n36, Private,166509, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Private,402367, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,7688,0,45, United-States, >50K\n67, Local-gov,204123, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,10, United-States, <=50K\n53, Self-emp-inc,220786, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K\n43, Private,254146, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K\n29, Local-gov,152461, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,42, United-States, <=50K\n19, Private,223669, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n51, Private,120270, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n21, Self-emp-not-inc,304602, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,98, United-States, <=50K\n54, Private,24108, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,32546, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,7430,0,40, United-States, >50K\n41, Private,93885, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K\n28, Private,210765, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,191276, Assoc-voc,11, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K\n82, Self-emp-not-inc,71438, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K\n23, Private,330571, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,16, United-States, <=50K\n40, Local-gov,138634, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,112264, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n24, Private,205865, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,45, United-States, <=50K\n21, Private,224640, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n27, Private,180758, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K\n29, ?,499935, Assoc-voc,11, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n40, Self-emp-not-inc,107762, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n17, Private,214787, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K\n27, Private,211032, 1st-4th,2, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n34, Private,208353, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n18, Private,157273, 10th,6, Never-married, Other-service, Other-relative, Black, Male,0,0,15, United-States, <=50K\n39, Private,75891, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Self-emp-inc,177675, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K\n44, Private,182370, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,200525, 11th,7, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n39, Private,174242, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K\n28, Private,95566, 1st-4th,2, Married-spouse-absent, Other-service, Own-child, Other, Female,0,0,35, Dominican-Republic, <=50K\n30, Private,30290, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n60, Private,240951, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n58, Private,183810, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,24, United-States, <=50K\n49, Private,94342, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K\n61, Self-emp-inc,148577, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n27, Private,103634, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K\n59, Self-emp-not-inc,83542, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n52, Federal-gov,76131, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,40, United-States, >50K\n42, Federal-gov,262402, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n27, Private,198286, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K\n41, Self-emp-inc,145441, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n35, ?,273558, Some-college,10, Never-married, ?, Not-in-family, Black, Male,0,0,30, United-States, <=50K\n50, Local-gov,117496, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,24, United-States, <=50K\n36, Private,128876, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, Private,199698, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,45, United-States, <=50K\n38, Private,65390, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n46, Private,128645, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n59, Private,53481, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n55, Private,92215, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n49, Local-gov,78859, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,323,20, United-States, <=50K\n59, Self-emp-inc,187502, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n38, Private,242080, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K\n22, Private,41837, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,25, United-States, <=50K\n28, Private,291374, 12th,8, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K\n47, Private,148995, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,60, United-States, >50K\n59, Private,159008, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, <=50K\n37, Private,271013, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,199046, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n34, Private,164280, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Portugal, <=50K\n35, Local-gov,116960, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K\n55, Private,100054, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n18, Private,183824, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K\n48, Private,313925, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K\n48, Private,379883, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Cuba, >50K\n70, ?,92593, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K\n27, Private,189777, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,198330, Masters,14, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,37, United-States, <=50K\n32, Private,127451, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K\n62, ?,31577, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,18, United-States, <=50K\n18, ?,90230, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K\n50, Private,301024, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K\n38, Self-emp-not-inc,175732, HS-grad,9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,15, United-States, <=50K\n18, Private,218889, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K\n46, Private,117605, 9th,5, Divorced, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K\n26, Private,154571, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,45, United-States, >50K\n44, Private,228057, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Dominican-Republic, <=50K\n32, Private,173998, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n25, Private,90752, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n55, Private,51008, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n55, Federal-gov,113398, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K\n25, Private,74977, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K\n40, Private,101593, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n29, Private,228346, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n60, Private,180418, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,44489, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K\n43, Self-emp-not-inc,277488, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n24, Private,103064, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,55, United-States, <=50K\n34, Private,226872, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Self-emp-not-inc,330416, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K\n24, Private,186495, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K\n47, State-gov,205712, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,38, United-States, <=50K\n18, Private,217743, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n50, Self-emp-inc,52565, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1485,40, United-States, <=50K\n22, Private,239954, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K\n49, Self-emp-not-inc,349986, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n41, Private,117585, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,40, United-States, >50K\n68, Self-emp-not-inc,122094, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, United-States, <=50K\n62, Self-emp-not-inc,26857, 7th-8th,4, Widowed, Farming-fishing, Other-relative, White, Female,0,0,35, United-States, <=50K\n25, Local-gov,192321, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n24, Private,88095, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,24, Mexico, <=50K\n44, Private,144067, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,12, ?, <=50K\n32, Private,124187, 9th,5, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, United-States, <=50K\n49, Private,123681, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, >50K\n68, Private,145638, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,130513, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, Peru, <=50K\n47, Federal-gov,197038, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n35, Private,189092, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n37, Self-emp-not-inc,198841, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,317969, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K\n37, Private,103121, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1848,40, United-States, >50K\n34, Private,111589, 10th,6, Never-married, Other-service, Unmarried, Black, Female,0,0,40, Jamaica, <=50K\n46, Local-gov,267952, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,36, United-States, <=50K\n21, Private,63899, 11th,7, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n26, Private,473625, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K\n45, Private,187901, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,2258,44, United-States, >50K\n17, Private,24090, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,35, United-States, <=50K\n36, Self-emp-inc,102729, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K\n33, Private,91666, 12th,8, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,215873, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K\n32, Private,152109, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n24, Private,175586, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K\n37, Private,232614, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K\n53, State-gov,229465, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n44, Private,147110, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,14344,0,40, United-States, >50K\n43, Local-gov,161240, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K\n29, Private,358124, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,52, United-States, <=50K\n47, Private,222529, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K\n37, Self-emp-not-inc,338320, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K\n43, Self-emp-inc,62026, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K\n23, Private,263886, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,20, United-States, <=50K\n50, Private,310774, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K\n25, Private,98155, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n40, Private,259307, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K\n39, Private,358753, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K\n41, Private,29762, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K\n32, Private,202729, HS-grad,9, Married-civ-spouse, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,28790, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, Private,53209, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Local-gov,169020, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n34, Private,127195, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n41, Private,211731, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Mexico, <=50K\n42, Self-emp-not-inc,126614, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Other, Male,0,0,30, Iran, <=50K\n45, Private,259463, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,228411, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K\n25, Private,117827, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n22, Federal-gov,57216, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K\n46, State-gov,250821, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K\n48, Self-emp-inc,88564, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,45, United-States, <=50K\n45, Private,172822, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,52, United-States, >50K\n19, Private,251579, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,14, United-States, <=50K\n31, Private,118399, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-inc,178383, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,70, United-States, <=50K\n40, Self-emp-not-inc,170866, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n60, ?,268954, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,12, United-States, >50K\n52, ?,89951, 12th,8, Married-civ-spouse, ?, Wife, Black, Female,0,0,40, United-States, >50K\n22, Private,203894, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K\n25, Private,237065, Some-college,10, Divorced, Other-service, Own-child, Black, Male,0,0,38, United-States, <=50K\n51, Local-gov,108435, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, >50K\n32, Private,93213, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,62, United-States, <=50K\n51, Self-emp-inc,231230, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K\n42, Private,386175, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K\n39, Private,128392, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K\n24, Private,223515, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n52, Private,208630, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,1741,38, United-States, <=50K\n58, ?,97969, 1st-4th,2, Married-spouse-absent, ?, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n43, Private,174295, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n31, Private,60229, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n28, Private,66095, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n31, Federal-gov,130057, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K\n61, Private,179743, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,20, United-States, <=50K\n26, Private,192022, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K\n46, Private,45288, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n62, ?,178764, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,99476, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K\n18, Private,41973, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,5, United-States, <=50K\n23, Private,162228, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K\n21, Private,211968, Some-college,10, Never-married, Sales, Own-child, White, Female,0,1762,28, United-States, <=50K\n46, Private,211226, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,36, United-States, <=50K\n38, Private,33397, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n53, Private,120839, 12th,8, Divorced, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K\n53, Private,36327, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n50, Private,139703, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n26, Private,107827, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,25, United-States, <=50K\n46, Local-gov,140219, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,8614,0,55, United-States, >50K\n44, Local-gov,203761, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n36, Local-gov,114719, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n20, Private,344394, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K\n35, Private,195516, 7th-8th,4, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Mexico, <=50K\n40, State-gov,31627, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,20, United-States, <=50K\n70, Private,174032, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n57, Private,226875, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K\n40, Private,566537, Preschool,1, Married-civ-spouse, Other-service, Husband, White, Male,0,1672,40, Mexico, <=50K\n18, Private,36162, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,5, United-States, <=50K\n45, Self-emp-not-inc,31478, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,2829,0,60, United-States, <=50K\n52, Private,294991, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n24, ?,108495, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n42, Self-emp-inc,161532, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, United-States, <=50K\n28, Local-gov,332249, HS-grad,9, Separated, Transport-moving, Own-child, White, Male,0,0,45, United-States, <=50K\n32, Private,268147, Assoc-voc,11, Never-married, Tech-support, Unmarried, White, Female,0,0,60, United-States, <=50K\n56, Federal-gov,317847, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n44, Private,52028, 1st-4th,2, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K\n20, Private,184045, Some-college,10, Never-married, Sales, Unmarried, Black, Female,0,0,30, United-States, <=50K\n32, Private,206609, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n59, Private,152968, Some-college,10, Separated, Adm-clerical, Other-relative, White, Male,3325,0,40, United-States, <=50K\n21, Private,213015, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,2176,0,40, United-States, <=50K\n32, Private,313835, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n49, Private,66385, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,5013,0,40, United-States, <=50K\n22, Private,205940, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,1055,0,30, United-States, <=50K\n51, Self-emp-inc,260938, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,60567, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,40, United-States, <=50K\n23, Private,335067, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K\n34, Private,331126, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,30, United-States, <=50K\n53, Private,156612, 12th,8, Divorced, Transport-moving, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,188436, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K\n60, Private,227468, Some-college,10, Widowed, Protective-serv, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n55, Private,183580, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K\n57, Self-emp-not-inc,50990, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K\n59, Private,384246, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n26, ?,375313, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K\n30, Private,176410, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Own-child, White, Female,7298,0,16, United-States, >50K\n49, Private,93639, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,43, United-States, <=50K\n45, Private,30289, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Self-emp-inc,124950, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,126675, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K\n21, Private,145964, 12th,8, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n36, State-gov,345712, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n18, ?,97474, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K\n37, Private,180342, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n19, Private,167087, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n65, ?,192825, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n30, Private,318749, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,35, Germany, <=50K\n27, ?,147638, Masters,14, Never-married, ?, Not-in-family, Other, Female,0,0,40, Japan, <=50K\n59, Federal-gov,293971, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K\n32, Private,229566, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, >50K\n25, Private,242464, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,111067, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,80, United-States, >50K\n21, ?,155697, 9th,5, Never-married, ?, Own-child, White, Male,0,0,42, United-States, <=50K\n49, Local-gov,106554, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K\n49, Private,23776, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n51, ?,43909, HS-grad,9, Divorced, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n48, Private,105808, 9th,5, Widowed, Transport-moving, Unmarried, White, Male,0,0,40, United-States, >50K\n42, Private,169995, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K\n53, Private,141388, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n29, Self-emp-not-inc,241431, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K\n21, ?,78374, HS-grad,9, Never-married, ?, Other-relative, Asian-Pac-Islander, Female,0,0,24, United-States, <=50K\n54, Self-emp-not-inc,158948, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,15, United-States, <=50K\n66, Private,115498, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, ?, >50K\n34, Private,272411, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n39, Private,30529, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K\n62, ?,263374, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Canada, <=50K\n30, Private,190228, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,126060, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n25, Private,391192, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n26, Private,214069, HS-grad,9, Separated, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,170871, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,60, United-States, >50K\n55, Private,118993, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,10, United-States, <=50K\n26, Private,245880, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K\n45, Private,174794, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,56, Germany, <=50K\n61, Local-gov,153408, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K\n34, ?,330301, 7th-8th,4, Separated, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K\n26, Private,385278, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,60, United-States, <=50K\n44, Federal-gov,38434, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n45, Self-emp-not-inc,111679, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K\n55, Private,168956, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,86143, Some-college,10, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K\n48, Private,99835, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,263561, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K\n44, Private,118536, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n32, Self-emp-inc,209691, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Canada, <=50K\n54, Private,123374, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n40, Private,137225, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n29, Private,119359, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,10, China, >50K\n56, Private,134153, 10th,6, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K\n47, Private,121124, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,147655, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n46, Private,165138, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K\n24, Federal-gov,312017, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n37, Private,272950, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,259323, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K\n44, Federal-gov,281739, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,13550,0,50, United-States, >50K\n21, Private,119156, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K\n55, Private,165881, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n23, State-gov,136075, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K\n50, Private,187465, 11th,7, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n44, Private,328561, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K\n48, Private,350440, Some-college,10, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K\n38, Self-emp-not-inc,109133, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K\n48, Private,109814, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K\n39, Private,86643, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n52, Federal-gov,154521, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,44, United-States, >50K\n63, Private,45912, HS-grad,9, Widowed, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K\n48, Private,175070, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,2258,40, United-States, >50K\n37, Private,338033, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n26, State-gov,158963, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Self-emp-inc,121441, 11th,7, Never-married, Exec-managerial, Other-relative, White, Male,0,2444,40, United-States, >50K\n47, Self-emp-not-inc,242391, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n19, Private,119964, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Female,0,0,15, United-States, <=50K\n34, Private,193344, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, Germany, <=50K\n29, Local-gov,45554, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n33, Private,249716, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K\n53, Private,58985, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,24, United-States, <=50K\n24, Private,456367, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n39, Private,117381, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K\n50, Self-emp-not-inc,240922, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,1408,5, United-States, <=50K\n31, Private,226443, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,364342, Assoc-voc,11, Never-married, Sales, Not-in-family, Black, Female,0,0,25, United-States, <=50K\n42, Local-gov,101593, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,42, United-States, <=50K\n23, Private,267471, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K\n22, Private,186849, 11th,7, Divorced, Sales, Own-child, White, Male,0,0,50, United-States, <=50K\n65, Private,174603, 5th-6th,3, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,10, Italy, <=50K\n34, Private,115040, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K\n23, Private,142766, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,1055,0,20, United-States, <=50K\n38, Private,59660, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K\n45, Self-emp-not-inc,49595, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K\n19, Private,127491, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K\n46, Private,155933, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,1602,8, United-States, <=50K\n23, Private,122272, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K\n37, Private,143771, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n59, Private,91384, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K\n36, State-gov,135874, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n35, Private,207066, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,10520,0,45, United-States, >50K\n51, Private,172493, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,12, United-States, <=50K\n42, Local-gov,189956, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,30, United-States, <=50K\n35, Private,106967, Masters,14, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K\n20, Private,200153, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K\n25, Private,149943, HS-grad,9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,4101,0,60, ?, <=50K\n41, Private,151736, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n40, Private,67852, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,35, United-States, <=50K\n36, Private,54229, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,37, United-States, <=50K\n34, Self-emp-inc,154120, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K\n44, Self-emp-not-inc,157217, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K\n31, Federal-gov,381645, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K\n41, Local-gov,160785, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,133584, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n43, Private,170230, Masters,14, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n58, Private,250206, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K\n19, Private,128363, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K\n43, Local-gov,163434, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,55, United-States, >50K\n50, Private,195690, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K\n44, Self-emp-inc,138991, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n46, Private,118419, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,38, United-States, <=50K\n52, Self-emp-not-inc,185407, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n52, Self-emp-not-inc,283079, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n18, Private,119655, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K\n29, Private,153416, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K\n19, ?,204868, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,36, United-States, <=50K\n34, Private,220362, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n23, Local-gov,203078, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K\n64, State-gov,104361, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,65, United-States, <=50K\n68, Private,274096, 10th,6, Divorced, Transport-moving, Not-in-family, White, Male,0,0,20, United-States, <=50K\n42, State-gov,455553, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n41, Private,112283, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K\n41, Self-emp-inc,64506, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K\n22, State-gov,24395, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K\n67, Self-emp-inc,182581, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,20051,0,20, United-States, >50K\n27, Private,100669, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K\n25, Private,178025, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n49, ?,113913, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,60, United-States, <=50K\n28, Private,55191, Assoc-acdm,12, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K\n51, Federal-gov,223206, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024,0,40, Vietnam, >50K\n23, Local-gov,162551, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,35, China, <=50K\n19, Private,693066, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K\n72, ?,96867, 5th-6th,3, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,256362, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n53, Private,539864, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K\n35, Private,241153, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,284395, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n18, Private,180039, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K\n45, Private,178416, Assoc-voc,11, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,175710, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, ?, <=50K\n22, Local-gov,164775, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Guatemala, >50K\n55, Private,176897, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K\n45, Private,265097, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1902,40, United-States, >50K\n22, Private,193090, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,37, United-States, <=50K\n37, Private,186009, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1672,60, United-States, <=50K\n28, Private,175262, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n19, Private,109928, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K\n37, Self-emp-not-inc,162834, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,45, United-States, >50K\n50, Private,177896, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K\n31, Private,181372, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K\n40, Private,70645, Preschool,1, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K\n51, Private,128272, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n56, Private,106723, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n21, Private,122348, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,35, United-States, <=50K\n40, Private,177905, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,44, United-States, >50K\n22, Private,254547, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, Jamaica, <=50K\n47, Self-emp-inc,102308, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,45, United-States, >50K\n44, Private,33105, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n30, Private,215441, Some-college,10, Never-married, Adm-clerical, Not-in-family, Other, Male,0,0,40, ?, <=50K\n44, Local-gov,197919, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K\n41, Private,206139, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K\n47, Private,117849, Assoc-acdm,12, Divorced, Sales, Own-child, White, Male,0,0,44, United-States, <=50K\n26, Private,323044, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, Germany, >50K\n34, Private,90415, Assoc-voc,11, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n47, Private,294913, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K\n36, Private,127573, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K\n21, Private,180190, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,46, United-States, <=50K\n45, State-gov,231013, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n33, Private,356015, HS-grad,9, Separated, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,35, Hong, <=50K\n33, Private,198069, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,65, United-States, <=50K\n58, Self-emp-not-inc,99141, HS-grad,9, Divorced, Farming-fishing, Unmarried, White, Female,0,0,10, United-States, <=50K\n31, Private,188246, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K\n32, Self-emp-not-inc,116508, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K\n44, Federal-gov,38434, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K\n24, Private,128477, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n35, Private,91839, Bachelors,13, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,7688,0,20, United-States, >50K\n43, Private,409922, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K\n49, Private,185041, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n37, Self-emp-not-inc,103925, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, <=50K\n42, Self-emp-not-inc,34037, Bachelors,13, Never-married, Farming-fishing, Own-child, White, Male,0,0,35, United-States, <=50K\n31, Private,251659, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,1485,55, ?, >50K\n19, Private,57145, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K\n41, Private,182108, Doctorate,16, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, >50K\n51, Self-emp-inc,213296, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K\n51, Self-emp-inc,28765, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n63, Private,37792, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,31, United-States, <=50K\n39, Federal-gov,232036, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K\n30, Private,33678, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n62, Without-pay,159908, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,16, United-States, <=50K\n27, Private,176761, HS-grad,9, Never-married, Craft-repair, Other-relative, Other, Male,0,0,40, Nicaragua, <=50K\n32, Private,260954, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2042,30, United-States, <=50K\n37, Local-gov,180342, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K\n47, Local-gov,324791, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,50, United-States, >50K\n31, Private,183801, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,43, United-States, >50K\n42, Private,204235, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,249720, Assoc-voc,11, Married-spouse-absent, Sales, Unmarried, Black, Female,0,0,32, United-States, <=50K\n60, Private,127084, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,2042,34, United-States, <=50K\n42, Local-gov,201495, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K\n38, Private,447346, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, >50K\n24, Private,206008, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, Black, Male,0,0,20, United-States, <=50K\n34, Private,286020, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K\n20, ?,99891, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K\n29, Local-gov,169544, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,48, United-States, <=50K\n90, Private,313749, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,25, United-States, <=50K\n55, Private,89182, 12th,8, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Italy, <=50K\n36, Private,258102, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K\n49, Private,255466, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K\n50, Private,38795, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n17, Private,311907, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K\n54, Private,171924, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K\n26, Private,164488, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,10, United-States, <=50K\n44, Private,297991, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,50, United-States, <=50K\n28, Private,478315, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K\n54, Local-gov,34832, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n21, Private,67804, 9th,5, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,20, United-States, <=50K\n24, Private,34568, Assoc-voc,11, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,47151, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,56, United-States, <=50K\n59, ?,120617, Some-college,10, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n41, Private,318046, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K\n29, Private,363963, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n50, Private,92811, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K\n32, Private,33678, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K\n42, Private,66118, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K\n47, Private,160474, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K\n44, Private,159960, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n49, Private,242987, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Columbia, <=50K\n61, Private,232719, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n65, Local-gov,103153, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1411,40, United-States, <=50K\n45, Local-gov,162187, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K\n59, Private,207391, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n30, Never-worked,176673, HS-grad,9, Married-civ-spouse, ?, Wife, Black, Female,0,0,40, United-States, <=50K\n34, Private,356882, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n24, Private,427686, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K\n42, Self-emp-inc,191196, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, ?, >50K\n37, Private,377798, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K\n36, Private,43712, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n21, ?,205939, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n54, Private,161691, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,2559,40, United-States, >50K\n34, Private,346034, 12th,8, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,35, Mexico, <=50K\n41, Private,144460, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, Italy, <=50K\n18, Never-worked,153663, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,4, United-States, <=50K\n26, Private,262617, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n23, Federal-gov,173851, HS-grad,9, Never-married, Armed-Forces, Not-in-family, White, Male,0,0,8, United-States, <=50K\n63, ?,126540, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,5, United-States, <=50K\n34, Private,117963, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K\n54, Private,219737, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,37, United-States, <=50K\n37, Private,328466, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, Mexico, <=50K\n54, State-gov,138852, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n22, Local-gov,195532, Some-college,10, Never-married, Protective-serv, Other-relative, White, Female,0,0,43, United-States, <=50K\n32, Private,188246, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n42, State-gov,138162, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n31, State-gov,110714, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,37, United-States, <=50K\n48, Private,123075, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K\n28, Private,330466, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Hong, <=50K\n31, Private,254304, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K\n28, Private,435842, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K\n24, Private,118657, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,278188, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,45, United-States, <=50K\n26, Private,233777, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, Mexico, <=50K\n37, Self-emp-inc,328466, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K\n24, Private,176580, 5th-6th,3, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,40, Mexico, <=50K\n18, ?,156608, 11th,7, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K\n32, Private,172415, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K\n23, Private,194951, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,55, Ireland, <=50K\n33, Local-gov,318921, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Female,0,0,35, United-States, <=50K\n49, Private,189462, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n75, Self-emp-not-inc,192813, Masters,14, Widowed, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K\n74, Self-emp-not-inc,199136, Bachelors,13, Widowed, Craft-repair, Not-in-family, White, Male,15831,0,8, Germany, >50K\n26, Private,156805, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K\n66, ?,93318, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K\n34, Private,121966, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K\n18, Private,347336, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K\n33, Private,205950, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n36, State-gov,212143, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n44, Private,187821, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K\n36, Private,250807, 11th,7, Never-married, Craft-repair, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n53, Private,291755, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n60, Private,36077, 7th-8th,4, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K\n28, Private,119793, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K\n36, Private,184655, 10th,6, Divorced, Transport-moving, Unmarried, White, Male,0,0,48, United-States, <=50K\n35, Private,162256, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,6849,0,40, United-States, <=50K\n45, Self-emp-not-inc,204405, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K\n23, Private,133355, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K\n35, Private,89559, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,55, United-States, <=50K\n34, Private,115066, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K\n46, Private,139514, Preschool,1, Married-civ-spouse, Machine-op-inspct, Other-relative, Black, Male,0,0,75, Dominican-Republic, <=50K\n58, State-gov,200316, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n55, Local-gov,166502, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K\n63, Private,226422, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n41, Self-emp-not-inc,251305, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,190482, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,76, United-States, <=50K\n41, Private,122215, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K\n42, Private,248356, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n90, Local-gov,214594, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,2653,0,40, United-States, <=50K\n41, Private,220460, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K\n22, Private,174043, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n53, Self-emp-not-inc,137547, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,27828,0,40, Philippines, >50K\n49, Self-emp-not-inc,111959, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Scotland, >50K\n51, Private,40641, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K\n22, Private,205940, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n23, Private,265077, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n59, Private,395736, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K\n40, Private,306225, HS-grad,9, Divorced, Craft-repair, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Japan, <=50K\n28, Private,180299, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K\n39, Private,214896, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, El-Salvador, <=50K\n25, Private,273792, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,37, United-States, <=50K\n48, State-gov,224474, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n62, Private,271431, 9th,5, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,42, United-States, <=50K\n44, Local-gov,150171, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n28, Federal-gov,381789, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K\n62, Private,170984, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K\n32, Private,108256, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n59, Federal-gov,23789, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K\n20, Private,176321, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K\n40, Private,260425, Assoc-acdm,12, Separated, Tech-support, Unmarried, White, Female,1471,0,32, United-States, <=50K\n47, Private,248059, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,47, United-States, >50K\n60, Private,56248, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n55, Private,199763, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,0,0,81, United-States, <=50K\n18, Private,200047, 12th,8, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K\n43, Private,191712, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,1741,40, United-States, <=50K\n31, Self-emp-not-inc,156033, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K\n22, Private,173736, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K\n56, Private,135458, HS-grad,9, Divorced, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K\n41, Private,185660, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n24, Private,222005, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K\n42, Private,161510, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K\n53, Local-gov,186303, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,40, United-States, >50K\n52, Local-gov,143533, 7th-8th,4, Never-married, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K\n42, Private,288154, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,89, United-States, >50K\n48, Private,325372, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Portugal, <=50K\n35, Private,379959, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K\n33, Private,168387, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n20, Private,234640, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n33, Private,232475, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K\n30, Private,205152, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K\n31, Private,112115, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n29, Private,183854, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K\n26, Private,164386, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,48, United-States, <=50K\n61, Private,149620, Some-college,10, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n45, Private,199590, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K\n29, Private,83742, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K\n57, Self-emp-not-inc,65080, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K\n33, Private,191335, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,50, United-States, >50K\n20, Private,227778, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,56, United-States, <=50K\n26, Private,48280, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Private,66304, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K\n23, Private,45834, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K\n31, Private,298995, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,35, United-States, <=50K\n47, Private,161950, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n61, Private,98776, 11th,7, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,30, United-States, <=50K\n35, Private,102268, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K\n23, Private,180771, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Wife, Amer-Indian-Eskimo, Female,0,0,35, Mexico, <=50K\n20, ?,203992, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K\n41, Private,206878, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K\n39, Federal-gov,110622, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K\n51, Local-gov,203334, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K\n61, Self-emp-not-inc,50483, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, United-States, <=50K\n51, Private,274502, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,48, United-States, <=50K\n36, Private,208068, Preschool,1, Divorced, Other-service, Not-in-family, Other, Male,0,0,72, Mexico, <=50K\n41, Self-emp-not-inc,168098, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n34, Private,213307, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Female,7443,0,35, United-States, <=50K\n25, Private,175128, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n37, Private,40955, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K\n19, Private,60890, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,49, United-States, <=50K\n66, Self-emp-not-inc,102686, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, >50K\n23, Private,190273, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K\n30, Self-emp-not-inc,176185, Some-college,10, Married-spouse-absent, Craft-repair, Own-child, White, Male,0,0,60, United-States, >50K\n53, Private,304504, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,45, United-States, >50K\n25, Private,390657, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n18, Private,41381, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,1602,20, United-States, <=50K\n51, Private,101432, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n61, Private,190682, HS-grad,9, Widowed, Craft-repair, Not-in-family, Black, Female,0,1669,50, United-States, <=50K\n53, Private,158993, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,38, United-States, <=50K\n17, Private,117798, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K\n61, Private,137554, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n44, Self-emp-inc,71556, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, ?, >50K\n38, Private,257416, 9th,5, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K\n40, Private,195617, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,20, United-States, <=50K\n32, Private,236318, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,32, United-States, <=50K\n46, Private,42251, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K\n50, Private,257933, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K\n36, Self-emp-not-inc,109133, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K\n30, Self-emp-not-inc,261943, 11th,7, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,30, Honduras, <=50K\n33, Private,139057, Masters,14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K\n36, Private,237943, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K\n85, Private,98611, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,3, Poland, <=50K\n62, Private,128092, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K\n24, Private,284317, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,32, United-States, <=50K\n48, Self-emp-inc,185041, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K\n58, Local-gov,223214, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n45, Self-emp-inc,173664, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K\n66, Private,269665, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,25, United-States, <=50K\n37, Private,121521, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K\n55, Private,199713, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K\n39, Self-emp-not-inc,193689, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, <=50K\n58, Self-emp-inc,181974, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,99, ?, <=50K\n50, Private,485710, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K\n28, Private,185647, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K\n34, Private,30673, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K\n41, Federal-gov,160467, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,1506,0,40, United-States, <=50K\n36, Private,186819, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K\n22, Private,67234, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,45, United-States, <=50K\n35, Private,30673, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,84, United-States, <=50K\n49, ?,114648, 12th,8, Divorced, ?, Other-relative, Black, Male,0,0,40, United-States, <=50K\n21, Private,182117, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K\n64, State-gov,222966, 7th-8th,4, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K\n41, Private,201495, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n52, Private,301229, Assoc-voc,11, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K\n32, Private,157747, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n27, Private,155382, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K\n48, Private,268083, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K\n28, Private,113987, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n24, Private,216984, Some-college,10, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,35, United-States, <=50K\n51, Private,177669, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K\n32, Private,164190, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K\n61, Private,355645, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K\n60, ?,134152, 9th,5, Divorced, ?, Not-in-family, Black, Male,0,0,35, United-States, <=50K\n33, Private,63079, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K\n42, Self-emp-not-inc,217597, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,0,50, ?, <=50K\n24, Private,381895, 11th,7, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K\n82, ?,403910, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,3, United-States, <=50K\n26, Private,179010, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K\n18, Private,436163, 11th,7, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K\n34, Private,321709, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K\n57, Private,153918, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n25, Private,403788, HS-grad,9, Never-married, Craft-repair, Other-relative, Black, Male,0,0,40, United-States, <=50K\n34, Private,60567, 11th,7, Divorced, Transport-moving, Unmarried, White, Male,0,880,60, United-States, <=50K\n71, Private,138145, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K\n35, Local-gov,79649, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K\n47, Private,312088, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n50, Private,208630, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, >50K\n33, Private,182401, 10th,6, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K\n38, Private,32916, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K\n50, Private,302372, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K\n45, Private,155093, 10th,6, Divorced, Other-service, Not-in-family, Black, Female,0,0,38, Dominican-Republic, <=50K\n32, Private,192965, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K\n39, Private,107302, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, ?, >50K\n25, Local-gov,514716, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K\n20, Private,270436, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K\n46, Private,42972, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,22, United-States, >50K\n40, Private,142657, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,45, United-States, <=50K\n66, Federal-gov,47358, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,3471,0,40, United-States, <=50K\n30, Private,176175, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,24, United-States, <=50K\n36, Private,131459, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K\n57, Local-gov,110417, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K\n46, Private,364548, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K\n27, Private,177398, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,64, United-States, <=50K\n33, Private,273243, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K\n58, Private,147707, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K\n30, Private,77266, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K\n26, Private,191648, Assoc-acdm,12, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,15, United-States, <=50K\n81, ?,120478, Assoc-voc,11, Divorced, ?, Unmarried, White, Female,0,0,1, ?, <=50K\n32, Private,211349, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K\n22, Private,203715, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K\n31, Private,292592, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K\n29, Private,125976, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K\n35, ?,320084, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,55, United-States, >50K\n30, ?,33811, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,99, United-States, <=50K\n34, Private,204461, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K\n54, Private,337992, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, Japan, >50K\n37, Private,179137, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,39, United-States, <=50K\n22, Private,325033, 12th,8, Never-married, Protective-serv, Own-child, Black, Male,0,0,35, United-States, <=50K\n34, Private,160216, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, >50K\n30, Private,345898, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,46, United-States, <=50K\n38, Private,139180, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,15020,0,45, United-States, >50K\n71, ?,287372, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, >50K\n45, State-gov,252208, HS-grad,9, Separated, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K\n41, ?,202822, HS-grad,9, Separated, ?, Not-in-family, Black, Female,0,0,32, United-States, <=50K\n72, ?,129912, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K\n45, Local-gov,119199, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,48, United-States, <=50K\n31, Private,199655, Masters,14, Divorced, Other-service, Not-in-family, Other, Female,0,0,30, United-States, <=50K\n39, Local-gov,111499, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K\n37, Private,198216, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K\n43, Private,260761, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K\n65, Self-emp-not-inc,99359, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,1086,0,60, United-States, <=50K\n43, State-gov,255835, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K\n43, Self-emp-not-inc,27242, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K\n32, Private,34066, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K\n43, Private,84661, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K\n32, Private,116138, Masters,14, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,11, Taiwan, <=50K\n53, Private,321865, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K\n22, Private,310152, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K\n27, Private,257302, Assoc-acdm,12, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,38, United-States, <=50K\n40, Private,154374, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K\n58, Private,151910, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K\n22, Private,201490, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K\n52, Self-emp-inc,287927, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,40, United-States, >50K\n25, Private,226802, 11th,7, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n38, Private,89814, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Local-gov,336951, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,160323, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,7688,0,40, United-States, >50K.\n18, ?,103497, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n34, Private,198693, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n29, ?,227026, HS-grad,9, Never-married, ?, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n63, Self-emp-not-inc,104626, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,32, United-States, >50K.\n24, Private,369667, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n55, Private,104996, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K.\n65, Private,184454, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,6418,0,40, United-States, >50K.\n36, Federal-gov,212465, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,82091, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,39, United-States, <=50K.\n58, ?,299831, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K.\n48, Private,279724, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,48, United-States, >50K.\n43, Private,346189, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n20, State-gov,444554, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n43, Private,128354, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K.\n37, Private,60548, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,20, United-States, <=50K.\n40, Private,85019, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, ?, >50K.\n34, Private,107914, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,47, United-States, >50K.\n34, Private,238588, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,35, United-States, <=50K.\n72, ?,132015, 7th-8th,4, Divorced, ?, Not-in-family, White, Female,0,0,6, United-States, <=50K.\n25, Private,220931, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, Peru, <=50K.\n25, Private,205947, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,432824, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,90, United-States, >50K.\n22, Private,236427, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K.\n23, Private,134446, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Male,0,0,54, United-States, <=50K.\n54, Private,99516, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n32, Self-emp-not-inc,109282, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n46, State-gov,106444, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,7688,0,38, United-States, >50K.\n56, Self-emp-not-inc,186651, 11th,7, Widowed, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K.\n24, Self-emp-not-inc,188274, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n23, Local-gov,258120, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,43311, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n65, ?,191846, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Local-gov,403681, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,248446, 5th-6th,3, Never-married, Priv-house-serv, Not-in-family, White, Male,0,0,50, Guatemala, <=50K.\n17, Private,269430, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,257509, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n65, Private,136384, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n44, Self-emp-inc,120277, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n36, Private,465326, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,103634, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n20, State-gov,138371, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,32, United-States, <=50K.\n28, Private,242832, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, >50K.\n39, Private,290208, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n54, Private,186272, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3908,0,50, United-States, <=50K.\n52, Private,201062, 11th,7, Separated, Priv-house-serv, Not-in-family, Black, Female,0,0,18, United-States, <=50K.\n56, Self-emp-inc,131916, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n18, Private,54440, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n39, Private,280215, HS-grad,9, Divorced, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n21, Private,214399, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,1721,24, United-States, <=50K.\n22, Private,54164, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,14084,0,60, United-States, >50K.\n38, Private,219446, 9th,5, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,54, Mexico, <=50K.\n21, Private,110677, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n63, Private,145985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Local-gov,382078, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,50, United-States, >50K.\n42, Self-emp-inc,170721, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,50, United-States, >50K.\n33, Private,269705, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,101135, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n39, Private,118429, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,31208, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,281384, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n47, Local-gov,171807, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,109912, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, ?, <=50K.\n41, Self-emp-inc,445382, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,60, United-States, >50K.\n19, Private,105460, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n46, Private,170338, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,102606, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K.\n55, Private,323887, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K.\n46, Private,175622, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,229636, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n21, Private,388946, Some-college,10, Separated, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n46, Private,269034, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Dominican-Republic, <=50K.\n17, ?,165361, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n41, Private,75012, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n69, Self-emp-inc,174379, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K.\n50, Private,312477, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,72055, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Self-emp-inc,67001, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,213734, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,83141, Some-college,10, Separated, Other-service, Not-in-family, White, Male,0,1876,40, United-States, <=50K.\n44, Self-emp-inc,223881, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,50, ?, >50K.\n31, Self-emp-not-inc,113752, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n43, Private,170482, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,44, United-States, <=50K.\n20, Federal-gov,244689, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K.\n55, Private,160631, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,56, United-States, >50K.\n24, Federal-gov,228724, Some-college,10, Never-married, Armed-Forces, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, ?,38434, Masters,14, Married-civ-spouse, ?, Wife, White, Female,7688,0,10, United-States, >50K.\n59, Private,292946, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n49, Federal-gov,77443, 7th-8th,4, Never-married, Other-service, Not-in-family, Black, Male,0,0,20, United-States, <=50K.\n33, Private,176410, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,5178,0,10, United-States, >50K.\n59, Federal-gov,98984, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,198751, Masters,14, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n20, Private,479296, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n25, Private,235218, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n49, Private,164877, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Private,272087, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,169699, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, ?,189762, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,18, United-States, <=50K.\n33, Private,202191, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n22, Private,212261, Some-college,10, Never-married, Transport-moving, Own-child, Black, Male,0,0,39, United-States, <=50K.\n58, Self-emp-not-inc,301568, 9th,5, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n52, Local-gov,155233, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,28, United-States, <=50K.\n36, Private,75826, 10th,6, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Local-gov,201520, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,154236, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,2597,0,40, United-States, <=50K.\n19, Private,289227, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,16, United-States, <=50K.\n18, Private,217439, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K.\n18, Private,179020, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,48, United-States, <=50K.\n28, Private,149624, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,337266, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n20, ?,30796, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n40, Private,103541, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,206721, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n46, Private,96773, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,200967, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n44, Private,180019, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n43, Private,179866, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, >50K.\n31, Local-gov,198770, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K.\n18, Private,219256, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n19, Private,248730, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,30, United-States, <=50K.\n41, Private,110732, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,181020, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K.\n69, Private,183791, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n48, Federal-gov,42972, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n28, Private,134813, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Self-emp-not-inc,115438, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, Ireland, >50K.\n41, Private,239296, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,50, United-States, >50K.\n41, Private,428420, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,247846, HS-grad,9, Never-married, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n20, ?,334105, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Self-emp-inc,100793, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,41, United-States, >50K.\n57, Private,244478, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,48, United-States, <=50K.\n30, Private,142921, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,182863, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n49, Private,171128, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n33, Private,145402, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,35, United-States, <=50K.\n23, Private,306309, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,83822, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,262118, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,22, Germany, <=50K.\n40, Private,155972, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K.\n43, Self-emp-inc,214503, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,45, United-States, >50K.\n34, Private,159303, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K.\n47, Self-emp-not-inc,174995, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n44, Private,26669, Assoc-voc,11, Widowed, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K.\n33, Private,177727, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n55, Private,124771, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n19, Private,456736, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,2907,0,30, United-States, <=50K.\n28, Private,216604, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,14, United-States, <=50K.\n27, Private,221561, 11th,7, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,32, United-States, <=50K.\n50, Private,114564, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,20, United-States, <=50K.\n22, Private,315476, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n40, State-gov,67874, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1887,45, United-States, >50K.\n25, Private,126110, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n26, Local-gov,102264, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,537222, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n42, Private,113732, Some-college,10, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,625,40, United-States, <=50K.\n38, Self-emp-inc,93225, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n55, Private,43064, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K.\n32, Private,136921, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,388885, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n29, Private,142249, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, State-gov,56841, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n31, Private,156493, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n58, Self-emp-not-inc,159021, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,16, United-States, >50K.\n42, Private,190910, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n18, Private,41879, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,25, United-States, <=50K.\n58, Local-gov,137249, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,33, United-States, <=50K.\n54, Private,236157, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K.\n34, Private,189759, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,239877, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n61, Private,21175, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n48, Local-gov,67229, Masters,14, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n36, Private,236391, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n24, Private,325596, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n40, Private,83411, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,37, United-States, <=50K.\n33, Self-emp-inc,154227, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n37, Private,248010, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K.\n34, Private,198613, Masters,14, Never-married, Exec-managerial, Own-child, White, Male,4650,0,40, United-States, <=50K.\n56, Self-emp-inc,321529, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K.\n28, ?,168524, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Female,0,0,38, United-States, >50K.\n37, Private,203079, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n44, Private,284652, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n64, ?,201368, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K.\n54, Private,59840, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n23, Private,52753, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n34, State-gov,513100, Bachelors,13, Married-spouse-absent, Farming-fishing, Not-in-family, Black, Male,0,0,40, ?, <=50K.\n22, Private,199266, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n33, Private,196385, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K.\n39, Private,163205, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K.\n47, Private,411047, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K.\n79, ?,48574, 7th-8th,4, Widowed, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,209440, HS-grad,9, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,55, United-States, <=50K.\n31, Private,56964, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Private,299197, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n42, Self-emp-inc,240628, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K.\n19, Private,355313, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,132267, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n51, Local-gov,174861, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n28, Self-emp-inc,142443, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n57, Private,26716, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n45, Local-gov,185588, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Private,175029, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n34, Self-emp-inc,34848, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,54, United-States, <=50K.\n45, Private,411273, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n73, Local-gov,143437, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K.\n34, Private,357145, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K.\n31, Private,236861, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n19, Private,53355, 11th,7, Never-married, Sales, Not-in-family, White, Male,0,0,12, United-States, <=50K.\n25, Private,29106, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,50, United-States, <=50K.\n38, Federal-gov,213274, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Female,6497,0,40, United-States, <=50K.\n39, Private,22463, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,180497, Bachelors,13, Never-married, Tech-support, Own-child, Black, Female,0,0,32, United-States, <=50K.\n49, Private,37306, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Federal-gov,137814, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K.\n21, Private,447488, 5th-6th,3, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,38, Mexico, <=50K.\n31, Private,220915, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,42251, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n34, Private,162312, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n25, Private,77698, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n39, Private,282951, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n52, Self-emp-inc,311259, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n63, Local-gov,65479, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,40, United-States, >50K.\n41, Private,277256, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,312088, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,38, United-States, >50K.\n53, Local-gov,169719, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n25, ?,270276, 9th,5, Separated, ?, Not-in-family, White, Female,1055,0,40, United-States, <=50K.\n77, ?,172744, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K.\n18, Private,96869, 12th,8, Never-married, Priv-house-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,237943, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n55, Private,119751, Masters,14, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,50, Thailand, <=50K.\n34, Private,236861, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n80, Self-emp-not-inc,201092, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K.\n34, Private,147215, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,60, United-States, <=50K.\n52, Private,152373, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,5013,0,40, United-States, <=50K.\n42, Private,227968, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,28, Haiti, <=50K.\n26, Private,362617, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Private,103435, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Local-gov,281412, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n55, Self-emp-not-inc,105239, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2057,60, United-States, <=50K.\n19, Private,230165, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n62, Self-emp-not-inc,177493, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,32, United-States, <=50K.\n22, Federal-gov,104443, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n39, ?,110342, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,50, United-States, <=50K.\n35, Private,143385, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,107189, HS-grad,9, Married-civ-spouse, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n47, Private,212944, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K.\n44, State-gov,138634, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,99970, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K.\n35, Private,203717, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n24, Private,313956, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n42, Federal-gov,177937, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K.\n28, Private,193868, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,50, United-States, <=50K.\n21, Private,250939, Some-college,10, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,35, United-States, <=50K.\n62, Federal-gov,57629, Some-college,10, Divorced, Tech-support, Not-in-family, Black, Male,4650,0,40, United-States, <=50K.\n39, Private,281768, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n30, State-gov,260782, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n72, Self-emp-not-inc,243769, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,1429,20, United-States, <=50K.\n50, Private,109937, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K.\n28, Local-gov,134890, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,100293, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Private,132179, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n27, Private,116372, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,255412, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3103,0,40, United-States, >50K.\n61, ?,195789, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,342400, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K.\n21, ?,65481, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n31, Private,169085, 11th,7, Married-civ-spouse, Sales, Wife, White, Female,0,0,20, United-States, <=50K.\n25, Private,177221, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, <=50K.\n58, Private,65325, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n64, Private,118944, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n46, State-gov,149337, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n53, ?,237868, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, >50K.\n19, Private,106183, HS-grad,9, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K.\n42, Private,226388, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,52, United-States, <=50K.\n18, Private,220754, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K.\n58, Self-emp-inc,204021, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,50, United-States, >50K.\n20, Private,347391, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,60, United-States, <=50K.\n35, Federal-gov,413930, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n32, Private,174201, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, >50K.\n23, Private,145917, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n31, Private,241797, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n33, Private,265168, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,55, United-States, <=50K.\n41, Private,171234, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n22, Private,178452, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n46, Private,157857, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n61, Federal-gov,512864, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n30, Private,296462, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n42, Private,171615, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n63, Private,214071, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,172421, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,195488, 10th,6, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n23, Private,316841, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,236267, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,1590,40, United-States, <=50K.\n30, Private,236543, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, El-Salvador, >50K.\n23, Private,318483, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n34, Self-emp-not-inc,163756, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,27828,0,60, United-States, >50K.\n30, Private,238186, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male,0,2057,48, United-States, <=50K.\n39, Private,329980, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,169269, 11th,7, Never-married, Handlers-cleaners, Other-relative, White, Male,0,1721,38, Puerto-Rico, <=50K.\n38, Local-gov,34744, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n26, Private,98114, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n20, Private,109667, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K.\n37, Local-gov,263690, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Male,0,0,40, ?, <=50K.\n33, Private,147430, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n24, Private,224238, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Self-emp-inc,212894, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n51, Self-emp-not-inc,136708, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,3103,0,84, Vietnam, <=50K.\n56, Local-gov,38573, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K.\n22, Private,197200, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n52, Self-emp-not-inc,182796, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n44, Private,184527, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,4934,0,45, United-States, >50K.\n34, Private,145231, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,4064,0,35, United-States, <=50K.\n51, Private,43354, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, >50K.\n20, ?,318865, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, Private,355712, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n37, Private,98776, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n68, Private,257557, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K.\n22, Private,102258, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n56, Self-emp-inc,170287, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,243409, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,55608, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n26, Private,248057, HS-grad,9, Separated, Handlers-cleaners, Own-child, White, Male,0,0,40, Puerto-Rico, <=50K.\n33, Private,95530, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n45, Local-gov,54038, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,42, United-States, <=50K.\n18, Private,161245, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K.\n43, Self-emp-not-inc,388725, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K.\n64, Self-emp-not-inc,71807, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, ?, >50K.\n18, Private,228216, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K.\n20, ?,303121, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,45, United-States, <=50K.\n57, Private,78020, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,249254, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,3674,0,42, United-States, <=50K.\n34, Private,87218, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K.\n19, Private,304299, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Private,196234, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,55, Dominican-Republic, <=50K.\n56, Private,197875, 10th,6, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n36, Self-emp-inc,48063, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K.\n48, Private,253596, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,48, United-States, <=50K.\n29, Private,39257, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,56150, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n31, Private,179415, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K.\n39, Private,252445, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n66, Private,275918, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,10605,0,40, United-States, >50K.\n27, Private,106562, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n39, Private,198654, HS-grad,9, Divorced, Exec-managerial, Unmarried, Black, Female,99999,0,40, United-States, >50K.\n59, Private,107318, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,50, United-States, >50K.\n26, Private,181896, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n31, Private,106014, Assoc-voc,11, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n45, ?,319993, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n23, Private,197997, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n36, Local-gov,173542, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,207564, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,12, United-States, >50K.\n32, Private,224462, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,84, United-States, >50K.\n37, Private,123361, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,50, United-States, >50K.\n33, Private,90409, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n50, Self-emp-not-inc,165001, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,80, United-States, >50K.\n32, Federal-gov,149573, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n35, Private,249456, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n37, Private,149898, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,292985, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n57, Private,50223, Some-college,10, Divorced, Handlers-cleaners, Other-relative, White, Male,0,0,25, United-States, <=50K.\n29, Local-gov,400074, Some-college,10, Married-civ-spouse, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n55, Private,197399, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n43, Self-emp-inc,209547, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, >50K.\n43, Private,52433, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K.\n45, Self-emp-not-inc,355978, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n33, Self-emp-not-inc,48214, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,8, United-States, <=50K.\n26, Private,190873, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,40, Germany, <=50K.\n23, Private,278390, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, <=50K.\n41, Private,203217, 7th-8th,4, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n24, Private,279175, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,194590, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K.\n34, Self-emp-not-inc,198813, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K.\n40, Private,187294, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,302903, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,1485,40, United-States, <=50K.\n24, Private,154835, HS-grad,9, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,40, South, <=50K.\n73, ?,73402, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n23, Private,100345, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,15, United-States, <=50K.\n43, Self-emp-not-inc,126320, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K.\n26, Private,142226, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n58, Self-emp-not-inc,112076, Doctorate,16, Married-AF-spouse, Exec-managerial, Wife, White, Female,0,1485,35, United-States, >50K.\n52, Private,225339, HS-grad,9, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n29, Private,211208, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, >50K.\n47, Private,200808, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, Columbia, <=50K.\n49, Private,220618, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,37, United-States, <=50K.\n40, Private,210493, 11th,7, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n62, Self-emp-not-inc,369734, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n49, Private,27898, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,55, United-States, >50K.\n50, Private,138193, Bachelors,13, Divorced, Prof-specialty, Other-relative, White, Female,0,0,50, United-States, >50K.\n31, Private,224234, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K.\n48, Local-gov,188741, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n24, Private,183772, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K.\n41, ?,155041, HS-grad,9, Never-married, ?, Own-child, White, Female,3418,0,40, United-States, <=50K.\n37, Private,79586, HS-grad,9, Separated, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,60, United-States, <=50K.\n45, Private,355781, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,45, Japan, >50K.\n63, ?,156158, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K.\n36, Private,116358, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,45, India, <=50K.\n45, Private,59287, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,138868, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Private,185885, Assoc-acdm,12, Never-married, Tech-support, Other-relative, White, Female,0,0,20, United-States, <=50K.\n17, Private,40299, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n27, Private,500068, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,36, ?, <=50K.\n43, Private,51494, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,65, United-States, <=50K.\n35, Private,179481, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,55, United-States, <=50K.\n38, Private,365907, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Private,284343, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,204862, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n38, Private,272476, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,24, United-States, >50K.\n36, Private,175130, 11th,7, Divorced, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K.\n33, Private,118941, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n19, Private,164339, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,1055,0,70, United-States, <=50K.\n22, ?,213291, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K.\n42, Federal-gov,55457, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K.\n50, Private,280292, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,446894, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K.\n37, State-gov,67083, Some-college,10, Married-civ-spouse, Prof-specialty, Other-relative, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K.\n54, Self-emp-inc,159219, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K.\n52, Self-emp-inc,168539, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n65, Private,88145, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,0,40, ?, <=50K.\n33, Private,150309, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,122999, Some-college,10, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K.\n24, Private,302195, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n26, Private,210982, Assoc-voc,11, Separated, Adm-clerical, Unmarried, Black, Female,114,0,40, United-States, <=50K.\n39, Private,177140, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K.\n59, Private,113838, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,97165, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Private,104301, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,45, United-States, <=50K.\n23, ?,192028, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K.\n64, Self-emp-inc,115931, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n21, Private,147280, HS-grad,9, Never-married, Other-service, Own-child, Other, Male,0,0,20, United-States, <=50K.\n32, Private,185433, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, >50K.\n26, Private,599057, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,37, United-States, <=50K.\n19, ?,50626, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,20, United-States, <=50K.\n62, Self-emp-not-inc,71467, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,183977, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K.\n75, ?,26586, 10th,6, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,5, United-States, <=50K.\n45, Self-emp-not-inc,196858, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n31, Private,160594, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K.\n32, Private,65278, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,2580,0,40, United-States, <=50K.\n24, Private,102258, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,196947, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,233150, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n18, Private,42857, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n44, Private,118059, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n40, Private,169262, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3411,0,50, United-States, <=50K.\n27, Private,95108, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,161092, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n21, Private,345253, Some-college,10, Never-married, Adm-clerical, Not-in-family, Other, Male,2174,0,40, United-States, <=50K.\n37, State-gov,111275, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n65, Self-emp-not-inc,178878, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, <=50K.\n43, Federal-gov,157237, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n45, Private,155664, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n24, State-gov,322658, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,208503, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n19, Local-gov,223326, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,1721,35, United-States, <=50K.\n37, Private,20308, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K.\n24, Private,124751, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n34, Private,113364, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Germany, <=50K.\n50, State-gov,196900, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,39, United-States, <=50K.\n36, Private,168170, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Puerto-Rico, <=50K.\n39, Private,205338, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n44, Self-emp-not-inc,98806, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K.\n45, State-gov,226452, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n32, State-gov,479179, 11th,7, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Federal-gov,471990, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K.\n50, Private,44728, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,33117, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,264876, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, ?,47235, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n28, State-gov,293628, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,10, ?, <=50K.\n28, Private,193122, HS-grad,9, Divorced, Sales, Other-relative, White, Male,0,0,50, United-States, <=50K.\n39, Federal-gov,149347, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Poland, >50K.\n21, Private,129172, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,2907,0,40, United-States, <=50K.\n73, Self-emp-not-inc,151255, Some-college,10, Widowed, Farming-fishing, Not-in-family, White, Female,0,0,75, United-States, <=50K.\n39, Private,98886, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,4508,0,40, Mexico, <=50K.\n25, Private,238673, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,137991, Some-college,10, Married-AF-spouse, Sales, Wife, White, Female,0,0,20, United-States, <=50K.\n51, Private,85942, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n39, Private,85783, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,28, United-States, <=50K.\n31, Private,174789, Bachelors,13, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n21, Private,457162, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,17, United-States, <=50K.\n46, Private,176026, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,27828,0,50, United-States, >50K.\n73, Private,88594, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n41, Private,311101, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,273989, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Private,370242, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n24, Private,194630, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n20, Private,313817, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,195843, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Private,203160, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,28, United-States, <=50K.\n33, Private,175856, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n33, Private,75435, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n36, State-gov,291676, 9th,5, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n55, Private,192869, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,36, United-States, <=50K.\n19, Private,124464, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Private,98776, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n34, Private,107960, 5th-6th,3, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K.\n62, State-gov,312286, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n33, Self-emp-not-inc,48520, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,224541, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,55, Mexico, <=50K.\n36, Local-gov,237713, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,309990, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,33, United-States, <=50K.\n39, Self-emp-not-inc,37019, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n38, ?,48976, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,1887,10, United-States, >50K.\n18, Private,170183, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n61, Private,142988, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K.\n20, Federal-gov,163205, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,36, United-States, <=50K.\n35, Self-emp-not-inc,455379, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K.\n27, Private,104423, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n66, Private,104936, 10th,6, Widowed, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K.\n21, Private,542610, HS-grad,9, Never-married, Transport-moving, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n20, Private,208117, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,18, United-States, <=50K.\n34, Private,105141, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n63, Private,156120, 5th-6th,3, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,50, ?, <=50K.\n20, ?,38455, HS-grad,9, Never-married, ?, Unmarried, White, Male,0,0,40, United-States, <=50K.\n31, Private,213339, HS-grad,9, Separated, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,177989, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2051,60, United-States, <=50K.\n64, State-gov,107732, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, Other, Male,0,0,45, Columbia, <=50K.\n32, Private,312403, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Local-gov,176992, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n36, Self-emp-not-inc,84294, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K.\n22, Private,143062, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,12, United-States, <=50K.\n53, Local-gov,139671, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n50, Private,116814, HS-grad,9, Widowed, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n36, Private,37778, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,240900, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,202652, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n38, Private,52187, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K.\n28, Private,349751, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,2174,0,50, United-States, <=50K.\n24, Local-gov,238384, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,37, United-States, <=50K.\n60, Private,209844, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n54, Private,333301, 10th,6, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n27, Self-emp-inc,214974, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n30, Private,113453, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, <=50K.\n54, Private,162238, HS-grad,9, Widowed, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n44, Private,98779, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K.\n52, Private,165001, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n18, Private,78528, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n55, Private,353881, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,251396, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n37, Private,178100, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n22, Private,416165, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, Private,177536, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, England, >50K.\n38, Private,203717, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n48, Private,107231, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,106448, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,196816, Assoc-voc,11, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,50, United-States, <=50K.\n37, Self-emp-not-inc,191342, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,60, Philippines, >50K.\n18, Private,170194, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K.\n26, Private,113587, 10th,6, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,35, United-States, <=50K.\n48, Self-emp-inc,72425, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n51, Private,217480, Some-college,10, Separated, Adm-clerical, Not-in-family, Black, Male,8614,0,40, United-States, >50K.\n52, Private,120914, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n32, State-gov,33945, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K.\n39, Self-emp-not-inc,199753, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K.\n51, Private,144284, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n54, Private,53833, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n21, Private,151158, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n43, Private,125577, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n32, Private,242323, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n31, State-gov,195181, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n73, ?,145748, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K.\n26, Private,341672, Some-college,10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,0,0,60, India, <=50K.\n35, Private,116369, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n73, Private,113446, 5th-6th,3, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,54, United-States, >50K.\n25, Self-emp-not-inc,121285, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n58, Self-emp-not-inc,25124, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2377,65, United-States, <=50K.\n32, Private,182274, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,37, United-States, <=50K.\n28, Private,103548, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,38434, Masters,14, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n53, Self-emp-not-inc,317313, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K.\n49, Private,177543, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K.\n55, Private,139834, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,118478, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,7298,0,50, United-States, >50K.\n28, Self-emp-not-inc,147951, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K.\n44, Private,201734, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n41, Private,198196, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n26, Private,141876, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,3103,0,45, United-States, >50K.\n23, Private,325179, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n37, Self-emp-not-inc,143774, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, Germany, >50K.\n23, Private,152328, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,13550,0,50, United-States, >50K.\n33, Private,479600, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n44, Private,180599, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, >50K.\n21, Private,448026, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,2907,0,30, United-States, <=50K.\n36, Private,300333, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Cuba, <=50K.\n44, Local-gov,184105, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5013,0,40, United-States, <=50K.\n23, Private,202084, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n26, Private,29515, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, Private,247328, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n31, Private,188246, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n50, Local-gov,105788, HS-grad,9, Separated, Exec-managerial, Unmarried, Black, Female,6497,0,35, United-States, <=50K.\n18, Self-emp-inc,352640, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n49, Private,132576, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n59, Private,128829, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,93140, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,28, United-States, <=50K.\n50, Self-emp-inc,155965, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n51, Self-emp-inc,335902, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,55, United-States, <=50K.\n22, Private,158522, Some-college,10, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,35, United-States, <=50K.\n54, Private,174806, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K.\n37, Private,32207, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,43607, Bachelors,13, Widowed, Adm-clerical, Unmarried, White, Male,0,0,60, United-States, <=50K.\n67, State-gov,168224, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n43, ?,180318, 11th,7, Separated, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n21, Private,311376, Some-college,10, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K.\n30, Private,101562, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Local-gov,267859, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, Cuba, <=50K.\n36, Private,86143, Assoc-voc,11, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n33, Local-gov,217304, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n37, Private,410034, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, <=50K.\n29, Private,293073, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,48, United-States, >50K.\n18, ?,39493, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n26, Private,247425, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,40, Haiti, <=50K.\n51, Private,128338, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,189344, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n18, Private,366154, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n52, Private,163051, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1628,40, United-States, <=50K.\n31, Private,437200, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K.\n45, Private,323798, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,53, United-States, >50K.\n38, Private,182570, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, <=50K.\n21, Private,200318, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n33, Private,48520, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Private,130007, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n31, Private,166248, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Private,203554, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K.\n64, ?,192715, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,1672,10, United-States, <=50K.\n33, Self-emp-inc,291333, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K.\n49, Self-emp-not-inc,39140, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n41, Private,266439, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Self-emp-not-inc,126840, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Private,166419, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K.\n42, Private,287129, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n24, Private,206827, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K.\n42, Private,173888, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,52, United-States, <=50K.\n41, State-gov,253250, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K.\n35, Private,337239, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n71, ?,113445, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n54, Federal-gov,201127, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, >50K.\n24, Private,403107, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n59, ?,179078, HS-grad,9, Widowed, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n30, ?,126402, 11th,7, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n57, Federal-gov,223892, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n58, State-gov,191318, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K.\n32, Private,394708, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n22, Private,119474, HS-grad,9, Never-married, Sales, Own-child, White, Female,1055,0,25, United-States, <=50K.\n20, Private,419984, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K.\n60, ?,164730, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,190678, HS-grad,9, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, ?, <=50K.\n26, Local-gov,197897, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, England, <=50K.\n33, Private,286675, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,191986, 10th,6, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Self-emp-not-inc,90525, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,15024,0,20, United-States, >50K.\n32, Private,56150, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Local-gov,248327, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K.\n18, Private,90860, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K.\n35, Federal-gov,104858, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n22, ?,228686, Some-college,10, Divorced, ?, Own-child, White, Male,0,1602,25, United-States, <=50K.\n46, Private,196707, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n37, Private,29430, HS-grad,9, Divorced, Sales, Unmarried, White, Male,0,0,45, United-States, <=50K.\n45, Private,54038, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1902,20, United-States, >50K.\n63, Private,281025, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,32, United-States, <=50K.\n53, Private,258832, HS-grad,9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,10, Philippines, <=50K.\n24, Private,131220, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n65, ?,190454, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,29, United-States, <=50K.\n43, Private,315971, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, ?, >50K.\n47, Private,265097, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,185057, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n27, Private,169557, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,6849,0,40, United-States, <=50K.\n35, Self-emp-inc,333636, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,75, United-States, <=50K.\n19, Private,181652, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,24, United-States, <=50K.\n47, Private,34307, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n25, Federal-gov,198813, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,0,1590,40, United-States, <=50K.\n59, Local-gov,240030, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,226089, 10th,6, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n17, Private,190941, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n21, Private,160261, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,2463,0,50, England, <=50K.\n31, Private,208458, HS-grad,9, Divorced, Sales, Unmarried, Other, Female,0,0,40, Mexico, <=50K.\n49, Private,112761, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Local-gov,67716, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K.\n60, Self-emp-not-inc,121076, Doctorate,16, Divorced, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n33, Self-emp-not-inc,182556, 12th,8, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,231348, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,55395, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K.\n34, Private,344073, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5013,0,40, United-States, <=50K.\n38, Federal-gov,318912, Assoc-voc,11, Divorced, Adm-clerical, Own-child, Black, Male,0,0,52, United-States, <=50K.\n58, Self-emp-not-inc,237546, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K.\n20, Private,346341, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, ?, <=50K.\n52, Private,305090, Some-college,10, Separated, Sales, Other-relative, White, Female,0,0,55, United-States, <=50K.\n22, Local-gov,198478, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,321435, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, >50K.\n39, Private,259716, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n41, Private,191547, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,55, United-States, >50K.\n37, ?,171482, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K.\n56, Private,225927, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,2580,0,40, United-States, <=50K.\n21, Private,256504, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,168526, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K.\n45, Private,44489, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n44, Local-gov,159449, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,80, United-States, >50K.\n54, Private,387540, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n24, Private,314819, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n40, Private,34722, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n43, State-gov,125831, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,99999,0,60, United-States, >50K.\n20, ?,239805, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,16, United-States, <=50K.\n41, Self-emp-not-inc,264663, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,294121, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Private,83912, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,25, Mexico, <=50K.\n26, Private,241626, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, State-gov,137815, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n62, Self-emp-inc,153891, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137,0,40, United-States, <=50K.\n24, Private,83774, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,2885,0,45, United-States, <=50K.\n58, Private,199067, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, >50K.\n44, Self-emp-inc,57233, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,211517, 12th,8, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Self-emp-inc,132879, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n65, Self-emp-not-inc,72776, 7th-8th,4, Never-married, Farming-fishing, Not-in-family, White, Male,2964,0,40, United-States, <=50K.\n33, Private,54318, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n34, ?,143582, HS-grad,9, Married-spouse-absent, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,37, Taiwan, <=50K.\n56, Self-emp-not-inc,174564, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n35, Private,179579, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,48, United-States, >50K.\n33, Private,187618, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,1741,40, United-States, <=50K.\n35, Private,186819, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, <=50K.\n47, Self-emp-not-inc,60087, Some-college,10, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n35, Self-emp-not-inc,28987, 9th,5, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,96, United-States, <=50K.\n56, Private,187355, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, Self-emp-inc,218555, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n53, Self-emp-inc,94214, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7298,0,50, Thailand, >50K.\n42, Private,204729, Assoc-voc,11, Separated, Sales, Unmarried, Black, Female,0,0,25, United-States, <=50K.\n20, ?,281668, Some-college,10, Never-married, ?, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n24, Private,236696, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, Taiwan, <=50K.\n33, Private,179747, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,187322, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n38, State-gov,116975, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1887,50, United-States, >50K.\n32, Private,205950, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Self-emp-not-inc,190968, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K.\n32, Private,160458, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Local-gov,190911, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,85382, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K.\n41, Local-gov,129793, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n37, Local-gov,270181, Assoc-acdm,12, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,50, United-States, <=50K.\n23, Private,243723, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n40, Private,168113, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,652784, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,315984, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Private,311311, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,111336, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,28, United-States, <=50K.\n30, Self-emp-not-inc,100252, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,60, South, <=50K.\n41, State-gov,186990, Prof-school,15, Widowed, Prof-specialty, Not-in-family, Other, Female,0,0,52, United-States, >50K.\n37, State-gov,241633, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,45, United-States, >50K.\n49, Federal-gov,252616, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n41, Federal-gov,46366, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,50, United-States, >50K.\n52, Local-gov,266138, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n23, Private,32732, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n34, Private,361978, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Female,1471,0,40, United-States, <=50K.\n25, State-gov,77661, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,2444,40, United-States, >50K.\n44, Self-emp-inc,60087, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n31, Local-gov,197550, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Male,0,0,33, United-States, <=50K.\n53, Private,170701, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n62, Private,159822, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,211494, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1876,55, United-States, <=50K.\n30, Federal-gov,340899, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, State-gov,224752, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n36, Private,102568, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K.\n32, Private,220690, 11th,7, Divorced, Other-service, Not-in-family, White, Male,0,0,33, United-States, <=50K.\n22, Private,303170, Some-college,10, Never-married, Priv-house-serv, Own-child, White, Female,0,0,28, United-States, <=50K.\n17, ?,143331, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,192162, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Private,201635, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, ?,55263, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n56, State-gov,133728, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K.\n45, Private,347025, 7th-8th,4, Widowed, Other-service, Unmarried, White, Female,0,0,21, United-States, <=50K.\n23, Private,110998, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n31, Private,122347, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,127875, 11th,7, Never-married, Sales, Unmarried, White, Female,0,0,8, United-States, <=50K.\n42, Private,167534, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013,0,35, United-States, <=50K.\n27, State-gov,152560, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n37, Private,265144, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n31, Private,302679, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n33, Private,290763, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n64, Private,86837, Preschool,1, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n32, Private,147118, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n62, ?,103575, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,5178,0,40, United-States, >50K.\n37, Private,169469, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,189334, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,139571, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,4064,0,40, United-States, <=50K.\n36, Private,111545, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n67, Private,72776, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,10566,0,15, United-States, <=50K.\n54, Private,307973, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n45, Local-gov,211666, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K.\n30, Private,143766, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, State-gov,112812, HS-grad,9, Married-civ-spouse, Protective-serv, Other-relative, White, Female,0,0,40, United-States, <=50K.\n57, Private,43290, 10th,6, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K.\n57, Private,111385, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Self-emp-not-inc,145744, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Local-gov,126754, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,40, Italy, <=50K.\n46, State-gov,54260, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,10, United-States, >50K.\n41, State-gov,34895, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,43, United-States, <=50K.\n44, Private,166740, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K.\n25, Private,143062, Bachelors,13, Never-married, Other-service, Own-child, White, Female,2463,0,30, United-States, <=50K.\n34, Local-gov,191957, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,45, United-States, >50K.\n24, Private,109456, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K.\n32, Private,198183, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n27, Local-gov,157449, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K.\n67, Private,53874, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, Cuba, <=50K.\n36, Private,191754, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,320071, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,1408,48, United-States, <=50K.\n24, Private,164574, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,185870, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K.\n44, State-gov,165745, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n23, Self-emp-not-inc,40323, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,199378, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,90, United-States, <=50K.\n31, Private,289889, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Local-gov,152200, Some-college,10, Married-civ-spouse, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K.\n61, Private,198231, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n71, Self-emp-not-inc,28865, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,15, United-States, <=50K.\n42, Private,26915, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n27, ?,108926, Some-college,10, Married-civ-spouse, ?, Husband, Black, Male,0,0,5, United-States, <=50K.\n21, State-gov,204034, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n21, Private,243368, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,25, Mexico, <=50K.\n28, Local-gov,191088, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,2354,0,60, United-States, <=50K.\n27, Local-gov,194515, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, Black, Female,0,0,37, United-States, <=50K.\n32, Private,28984, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,2001,25, United-States, <=50K.\n47, Private,125892, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,37932, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, England, <=50K.\n56, Private,249751, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,191948, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K.\n30, Private,97306, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Private,176178, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n28, Private,142764, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,45, United-States, >50K.\n50, Private,148431, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n66, State-gov,148380, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,1424,0,10, United-States, <=50K.\n38, Private,314890, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,46, United-States, <=50K.\n62, Private,177493, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K.\n36, Federal-gov,327435, Masters,14, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, >50K.\n47, Private,275967, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n25, Private,176520, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,186463, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,50380, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n70, Self-emp-not-inc,323987, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,8, United-States, <=50K.\n52, Private,192445, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n70, Private,142851, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,18, United-States, <=50K.\n19, State-gov,42750, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, Private,199011, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,3, United-States, <=50K.\n37, Private,98644, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,16, ?, >50K.\n37, Private,173963, 11th,7, Separated, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n45, State-gov,284763, Some-college,10, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n29, Private,108775, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n56, Self-emp-not-inc,233312, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, Poland, <=50K.\n50, Private,197826, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,123007, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,2001,30, United-States, <=50K.\n26, Private,264012, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,214247, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,60, United-States, >50K.\n21, Private,200121, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n48, Self-emp-not-inc,138069, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2042,50, United-States, <=50K.\n22, Private,33551, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, State-gov,89083, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K.\n47, Private,369438, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,30, United-States, >50K.\n61, Private,93997, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K.\n47, Local-gov,169699, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,115429, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K.\n46, State-gov,96652, Assoc-voc,11, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,103759, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K.\n41, Private,54422, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n33, Local-gov,107215, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,194630, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n27, Private,102142, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Federal-gov,134638, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,39, United-States, <=50K.\n56, Private,46920, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Federal-gov,207973, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, Canada, <=50K.\n24, Private,208946, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n73, Self-emp-not-inc,252431, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,1, United-States, <=50K.\n36, Private,251730, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n31, Private,301251, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n50, ?,137632, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,45, Haiti, <=50K.\n36, Private,197274, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n37, Private,106043, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K.\n26, Private,195636, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n20, Private,237956, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,40, Cuba, <=50K.\n58, Private,31532, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n45, State-gov,276157, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n33, ?,207668, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,142921, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Private,217039, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K.\n19, Local-gov,259169, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K.\n54, Private,409173, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,50, Puerto-Rico, >50K.\n31, State-gov,73161, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1740,40, United-States, <=50K.\n27, Private,241431, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n36, Private,151764, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,40, United-States, >50K.\n47, Federal-gov,131726, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,1876,40, United-States, <=50K.\n35, Private,334291, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n42, Private,67243, 1st-4th,2, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, Portugal, >50K.\n45, Private,370261, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n70, Private,573446, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,1455,0,40, United-States, <=50K.\n27, Local-gov,189775, 12th,8, Never-married, Other-service, Own-child, Black, Female,0,0,44, United-States, <=50K.\n36, Private,312206, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n23, Private,86939, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,221757, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n45, Self-emp-not-inc,213140, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,45, United-States, >50K.\n24, Private,308673, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n90, Private,149069, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1825,50, United-States, >50K.\n50, Private,69345, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1902,44, United-States, >50K.\n37, Private,112158, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,99, United-States, >50K.\n31, Private,386299, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n17, Private,61838, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,290286, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,38, United-States, <=50K.\n41, Private,143069, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n50, Self-emp-inc,145714, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n45, Self-emp-not-inc,285570, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, <=50K.\n54, Self-emp-not-inc,399705, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n54, Private,186224, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,172918, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,198270, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,38, United-States, <=50K.\n43, Private,307767, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n19, ?,208630, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n30, Private,169002, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n31, ?,186369, 9th,5, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n42, Private,99203, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K.\n48, Private,197836, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n56, Private,140136, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,35, United-States, >50K.\n21, Local-gov,402230, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,36, United-States, <=50K.\n45, Private,167159, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,116409, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n38, Local-gov,105161, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n34, Private,263908, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n29, Private,189565, HS-grad,9, Divorced, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Private,224059, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n79, ?,27457, Masters,14, Never-married, ?, Not-in-family, White, Female,0,0,23, United-States, <=50K.\n35, Private,240988, Assoc-acdm,12, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n39, Self-emp-not-inc,41017, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n73, Self-emp-not-inc,214498, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,12, United-States, <=50K.\n57, Private,186361, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Self-emp-inc,165799, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n60, Private,266983, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,32, United-States, <=50K.\n19, ?,165416, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K.\n54, Private,226497, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Self-emp-not-inc,99516, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,177287, Some-college,10, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K.\n57, Self-emp-not-inc,27385, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K.\n27, Self-emp-not-inc,147452, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,48, United-States, <=50K.\n25, Private,144334, HS-grad,9, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, United-States, <=50K.\n38, Private,217926, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n48, Private,153312, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, >50K.\n24, Private,126822, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n67, Self-emp-inc,51415, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,171886, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K.\n38, Private,216319, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, >50K.\n54, Private,279337, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Self-emp-not-inc,115085, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n57, Private,453233, 10th,6, Separated, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n34, Federal-gov,400943, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n34, Private,226883, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,49, United-States, <=50K.\n80, Private,138050, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n40, Private,204585, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K.\n19, Local-gov,220558, 11th,7, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,35, United-States, <=50K.\n35, Private,198841, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, <=50K.\n21, Private,67244, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n59, Local-gov,75785, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,85423, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n41, Self-emp-not-inc,134724, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,3103,0,40, United-States, >50K.\n59, Private,109567, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n21, ?,132053, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K.\n52, Private,157413, 1st-4th,2, Divorced, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n48, Private,238567, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K.\n24, Private,153133, 12th,8, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n49, Private,186256, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n19, Private,260265, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K.\n50, Private,131819, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,141584, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n25, Private,245121, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K.\n66, Private,22502, 7th-8th,4, Divorced, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n30, Private,23778, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,4416,0,40, United-States, <=50K.\n49, Private,380922, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,80, United-States, >50K.\n40, Self-emp-not-inc,173651, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n38, Private,191137, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,217006, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, State-gov,22211, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,37, United-States, >50K.\n23, Local-gov,57711, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Germany, <=50K.\n60, Self-emp-not-inc,123190, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,67, United-States, >50K.\n44, Private,110028, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,27828,0,60, United-States, >50K.\n53, Self-emp-not-inc,174102, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,25236,0,60, United-States, >50K.\n66, Self-emp-not-inc,183249, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, >50K.\n18, ?,240183, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,45, United-States, <=50K.\n44, Local-gov,49665, Assoc-voc,11, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n38, Private,210438, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K.\n30, Private,53373, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,295706, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,3674,0,42, United-States, <=50K.\n38, Local-gov,273457, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n31, Federal-gov,165949, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n26, Private,142152, 11th,7, Never-married, Transport-moving, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n23, Private,189203, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n58, State-gov,179089, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,53956, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137,0,40, United-States, <=50K.\n59, Self-emp-inc,77816, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, United-States, >50K.\n36, Local-gov,74593, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,196158, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,8614,0,52, United-States, >50K.\n17, Private,28544, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n59, Local-gov,662460, 10th,6, Widowed, Prof-specialty, Unmarried, White, Female,0,0,15, United-States, <=50K.\n22, Private,152328, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,120277, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n36, Private,180278, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n19, ?,426589, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n49, Private,111558, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1977,25, United-States, >50K.\n18, ?,243203, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, Puerto-Rico, <=50K.\n38, Self-emp-not-inc,195686, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Male,0,0,25, United-States, <=50K.\n48, Private,226696, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n53, ?,118058, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,172237, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,46, United-States, <=50K.\n34, Self-emp-not-inc,114074, Assoc-voc,11, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n41, Federal-gov,171589, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, >50K.\n20, ?,184271, Assoc-acdm,12, Never-married, ?, Own-child, White, Female,594,0,20, United-States, <=50K.\n58, Local-gov,218724, HS-grad,9, Widowed, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Private,134190, 10th,6, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n45, Local-gov,181964, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,47, United-States, >50K.\n37, Private,385330, 7th-8th,4, Separated, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n48, Private,242406, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Dominican-Republic, <=50K.\n40, Federal-gov,107584, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,127892, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n33, Private,160261, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,10, United-States, <=50K.\n51, ?,285200, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2105,0,24, United-States, <=50K.\n48, Private,153254, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,48, United-States, <=50K.\n36, Self-emp-not-inc,294672, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K.\n31, Private,145924, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,35, United-States, <=50K.\n41, Self-emp-not-inc,280005, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n29, Federal-gov,66893, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,47039, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n53, Federal-gov,36186, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K.\n37, Private,159383, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,192010, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K.\n27, Private,216479, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n57, ?,274680, Preschool,1, Separated, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,211345, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Nicaragua, <=50K.\n25, Private,203561, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,56, United-States, >50K.\n63, Private,170815, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, <=50K.\n65, Self-emp-not-inc,200565, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,18, United-States, <=50K.\n77, Private,89655, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,234195, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,98466, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n67, Private,191437, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,77792, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, ?, <=50K.\n24, Local-gov,134181, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n53, State-gov,195690, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K.\n37, Self-emp-inc,94869, Masters,14, Divorced, Prof-specialty, Not-in-family, Black, Male,4787,0,40, United-States, >50K.\n44, State-gov,267464, Some-college,10, Separated, Tech-support, Own-child, Black, Female,0,0,40, United-States, <=50K.\n25, ?,257006, 11th,7, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n17, Private,81010, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n47, Private,54260, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,60, United-States, >50K.\n62, Federal-gov,171995, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,2829,0,40, United-States, <=50K.\n39, Private,245665, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n18, ?,35855, 11th,7, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n32, State-gov,189838, Some-college,10, Divorced, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K.\n25, Private,629900, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, >50K.\n30, Private,84119, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K.\n47, Private,47343, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n40, Private,103614, 10th,6, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,303092, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n41, State-gov,124520, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,220857, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K.\n32, State-gov,247481, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K.\n54, Private,283281, 7th-8th,4, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,50, United-States, <=50K.\n31, Private,25610, Preschool,1, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,25, United-States, <=50K.\n42, Private,13769, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K.\n23, Private,283969, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Mexico, <=50K.\n18, Private,185522, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,33, United-States, <=50K.\n65, ?,173309, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,401,0,12, United-States, <=50K.\n37, Private,144005, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n53, State-gov,205949, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n50, Private,158948, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,84, United-States, <=50K.\n64, Private,240357, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K.\n55, Private,243929, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n63, Private,201700, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K.\n53, Private,208402, Some-college,10, Divorced, Adm-clerical, Unmarried, Other, Female,4865,0,45, Mexico, <=50K.\n18, Private,120599, 11th,7, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K.\n33, Private,231826, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n62, Private,499971, 11th,7, Widowed, Handlers-cleaners, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n56, Private,227972, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,48, Germany, >50K.\n58, State-gov,299680, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,43, United-States, >50K.\n33, Private,231822, 10th,6, Separated, Sales, Unmarried, White, Female,0,0,38, United-States, <=50K.\n58, Private,185459, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n44, Private,90582, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n81, Private,184615, 7th-8th,4, Widowed, Machine-op-inspct, Unmarried, White, Female,1264,0,40, United-States, <=50K.\n28, Private,173858, HS-grad,9, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,35, China, <=50K.\n28, Private,132326, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n43, Private,315037, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n51, Private,175122, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n23, Private,239577, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,52, United-States, <=50K.\n48, Self-emp-not-inc,96975, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K.\n45, Self-emp-inc,61885, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,48, United-States, >50K.\n48, Private,185870, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n37, State-gov,142282, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n34, Private,334744, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K.\n63, Self-emp-not-inc,201600, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,60, United-States, >50K.\n38, Private,34378, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,180271, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,123833, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,213304, 5th-6th,3, Separated, Other-service, Unmarried, White, Female,0,0,40, El-Salvador, <=50K.\n30, Private,296538, 9th,5, Divorced, Farming-fishing, Own-child, White, Male,0,0,30, United-States, <=50K.\n35, Private,391937, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Self-emp-inc,175339, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,40, United-States, >50K.\n26, Private,60726, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Male,6849,0,50, United-States, <=50K.\n39, Private,191103, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,54, United-States, <=50K.\n34, State-gov,32174, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n55, Private,176219, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K.\n33, Self-emp-not-inc,294434, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,76, United-States, >50K.\n17, Private,310885, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,0,36, Mexico, <=50K.\n27, Private,171133, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,38, United-States, <=50K.\n53, Private,162951, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,41, United-States, >50K.\n43, Private,223934, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Private,23940, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n52, Private,88073, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,50, United-States, <=50K.\n60, Private,57371, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Self-emp-not-inc,73684, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,65, United-States, >50K.\n39, Private,107164, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,120126, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,40, United-States, >50K.\n41, Self-emp-not-inc,54611, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,50, United-States, >50K.\n61, Private,131117, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K.\n71, Federal-gov,101676, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,403965, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,35, United-States, <=50K.\n33, Private,177083, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, Canada, <=50K.\n52, Private,173987, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n40, Private,352080, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K.\n26, ?,102400, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Local-gov,378426, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,99, Columbia, <=50K.\n42, Private,210857, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K.\n63, Private,165775, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,21, United-States, <=50K.\n53, Private,295896, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n34, State-gov,238944, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,149640, Some-college,10, Separated, Craft-repair, Unmarried, White, Male,1506,0,40, Honduras, <=50K.\n67, ?,106175, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, >50K.\n49, Private,191320, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n28, Local-gov,134771, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,55, United-States, <=50K.\n51, ?,295538, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,120277, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K.\n27, Private,82393, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K.\n49, Private,146121, 5th-6th,3, Married-spouse-absent, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0,0,20, Vietnam, <=50K.\n34, Private,162544, 7th-8th,4, Never-married, Priv-house-serv, Own-child, White, Female,0,0,30, United-States, <=50K.\n27, Self-emp-not-inc,216178, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K.\n38, Self-emp-not-inc,248694, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K.\n24, Private,219140, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,360401, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,1719,48, United-States, <=50K.\n39, Private,319962, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K.\n50, Private,115284, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,29702, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K.\n63, ?,107085, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,7, United-States, <=50K.\n44, State-gov,204361, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n58, Private,218312, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,182332, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n23, Private,127876, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n20, Private,316702, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,292549, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n21, Private,203178, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n63, Private,180099, 10th,6, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n38, Private,154541, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, United-States, >50K.\n27, Private,95465, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n41, Private,171839, Masters,14, Married-civ-spouse, Other-service, Wife, White, Female,0,0,50, United-States, >50K.\n43, Private,115562, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K.\n39, State-gov,42478, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, ?,117054, 5th-6th,3, Divorced, ?, Not-in-family, White, Male,0,0,99, United-States, <=50K.\n56, Self-emp-inc,124137, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,45, United-States, >50K.\n44, State-gov,107503, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,60, United-States, <=50K.\n24, Private,70261, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n49, Private,367037, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,4650,0,40, United-States, <=50K.\n38, Private,258339, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,70, Iran, <=50K.\n36, Self-emp-not-inc,269509, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n27, State-gov,301302, Doctorate,16, Married-spouse-absent, Tech-support, Not-in-family, White, Male,0,0,20, ?, <=50K.\n50, Private,369367, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n46, Private,224582, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,52, United-States, <=50K.\n41, Local-gov,343591, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,10, United-States, <=50K.\n45, ?,53540, 11th,7, Divorced, ?, Unmarried, Black, Female,0,0,16, United-States, <=50K.\n46, Private,153536, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n65, ?,91262, HS-grad,9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,48, United-States, >50K.\n44, Private,238574, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n35, Private,247558, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n44, Self-emp-not-inc,188278, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,45, United-States, <=50K.\n51, Private,194995, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n74, Local-gov,168782, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n32, Private,287229, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n22, Private,202153, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K.\n58, ?,230586, 10th,6, Widowed, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n47, Private,115358, HS-grad,9, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n32, Private,78283, 12th,8, Never-married, Transport-moving, Unmarried, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n64, Federal-gov,168854, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n44, Private,222011, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,25, United-States, >50K.\n59, Private,157749, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Male,0,3004,40, United-States, >50K.\n34, Private,203814, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K.\n54, Private,74660, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, Canada, >50K.\n33, Private,292603, Some-college,10, Divorced, Other-service, Not-in-family, Black, Female,0,0,30, Dominican-Republic, <=50K.\n44, Private,172364, 1st-4th,2, Married-civ-spouse, Transport-moving, Wife, White, Female,3908,0,60, United-States, <=50K.\n31, Private,305619, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n30, State-gov,157990, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,120243, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,17, United-States, <=50K.\n56, Self-emp-not-inc,296991, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, England, >50K.\n24, Private,174845, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,180475, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n51, Private,152652, 11th,7, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,172941, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Male,0,0,20, United-States, <=50K.\n39, Federal-gov,450770, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,166003, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n22, ?,204935, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, State-gov,60949, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n51, Local-gov,181132, Masters,14, Separated, Prof-specialty, Not-in-family, White, Male,0,0,39, United-States, >50K.\n20, Private,408988, Some-college,10, Never-married, Sales, Own-child, White, Female,594,0,24, United-States, <=50K.\n49, Private,169515, 10th,6, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n31, Private,250087, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,208613, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,225172, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n20, ?,125905, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n35, Private,165007, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,42, United-States, >50K.\n46, Private,165346, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,8, United-States, <=50K.\n35, Private,37655, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,60, United-States, <=50K.\n21, Private,172047, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,20, United-States, <=50K.\n45, Private,178530, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Local-gov,347491, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n45, Self-emp-inc,208049, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,1590,40, United-States, <=50K.\n18, Private,111019, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K.\n53, Self-emp-not-inc,163826, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n24, Local-gov,117023, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Private,281982, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,150025, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Puerto-Rico, <=50K.\n50, Private,176215, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,56, United-States, >50K.\n38, Private,166062, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n34, Local-gov,28568, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n53, Private,53833, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,32, United-States, >50K.\n46, Private,219967, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K.\n50, Private,309017, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,45, United-States, <=50K.\n45, Private,353083, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, Private,257992, Assoc-voc,11, Never-married, Sales, Own-child, Black, Male,0,0,23, United-States, <=50K.\n41, Private,283174, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K.\n43, Self-emp-not-inc,185413, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K.\n29, Private,207513, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, <=50K.\n53, Private,56213, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n24, Private,100961, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,51700, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,199224, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n43, Local-gov,70055, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, <=50K.\n38, Private,183683, 10th,6, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n64, Private,45868, 7th-8th,4, Separated, Priv-house-serv, Not-in-family, Other, Female,0,0,35, Mexico, <=50K.\n37, Private,94706, Bachelors,13, Never-married, Prof-specialty, Own-child, Amer-Indian-Eskimo, Male,27828,0,40, United-States, >50K.\n48, Private,322183, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,35, United-States, >50K.\n27, Self-emp-not-inc,226976, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n45, Private,262678, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,135056, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,10520,0,38, United-States, >50K.\n33, ?,148380, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,3103,0,60, United-States, >50K.\n42, Private,270710, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, Private,166220, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,50, United-States, <=50K.\n29, Private,229803, HS-grad,9, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male,0,0,49, Haiti, <=50K.\n71, Self-emp-inc,172652, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n29, Federal-gov,204796, 10th,6, Separated, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, State-gov,186634, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,16, United-States, <=50K.\n28, Private,106672, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,2, United-States, <=50K.\n55, Private,135339, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, >50K.\n47, State-gov,287547, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K.\n21, ?,197583, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n33, Private,159737, HS-grad,9, Separated, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n35, Local-gov,252217, 12th,8, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Self-emp-inc,202466, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,45, United-States, >50K.\n33, Private,123031, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n30, Private,226296, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,232036, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, ?,233779, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K.\n21, ?,152328, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,481987, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K.\n42, Private,107563, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,184806, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,58, United-States, <=50K.\n36, Private,188850, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,127573, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,72443, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n57, Private,142080, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,38, United-States, >50K.\n50, Private,143353, HS-grad,9, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,12, United-States, <=50K.\n63, Private,172433, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K.\n44, Private,67874, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,625,50, United-States, <=50K.\n38, Private,415578, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n30, Self-emp-not-inc,370498, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,140513, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,25, United-States, <=50K.\n44, Self-emp-not-inc,193882, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n24, Private,289909, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,284078, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,2354,0,40, United-States, <=50K.\n42, Self-emp-not-inc,83953, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n54, Private,167380, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n45, State-gov,112761, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n37, Private,420040, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K.\n30, Federal-gov,42900, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Private,32086, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K.\n19, Private,291181, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,50, Mexico, <=50K.\n22, Private,71009, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n65, Federal-gov,200764, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n52, ?,133336, 10th,6, Divorced, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n36, Self-emp-not-inc,166193, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K.\n22, Private,240229, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n28, Private,334032, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n30, State-gov,184901, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,132912, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n29, Private,217290, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,184655, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,242739, Bachelors,13, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n52, Private,279344, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,60, United-States, >50K.\n62, Private,166691, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n42, Private,154374, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K.\n33, Private,31740, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,129396, 11th,7, Never-married, Sales, Other-relative, White, Female,0,0,26, United-States, <=50K.\n54, Private,195015, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,187431, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n45, State-gov,259087, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n37, State-gov,62428, Some-college,10, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,15, United-States, <=50K.\n21, Private,77572, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Female,0,0,34, South, <=50K.\n29, Private,245402, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, State-gov,201117, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n18, ?,36779, 11th,7, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n62, Private,177028, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K.\n19, Private,106306, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,20, United-States, <=50K.\n62, Private,101582, 7th-8th,4, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,35, United-States, <=50K.\n58, Local-gov,158357, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Private,377850, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n62, Private,207443, 11th,7, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,50, United-States, <=50K.\n23, Private,130959, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,12, United-States, <=50K.\n37, Private,112497, Bachelors,13, Married-spouse-absent, Exec-managerial, Unmarried, White, Male,4934,0,50, United-States, >50K.\n42, Private,190545, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,46, United-States, <=50K.\n21, Private,114292, 11th,7, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n41, Private,75171, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n27, Private,312939, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Private,52870, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,174947, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K.\n62, Local-gov,106069, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,298696, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,392812, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K.\n53, Private,117932, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n64, Private,135527, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n60, Private,135158, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,48, United-States, >50K.\n47, Private,54260, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, State-gov,28171, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,150324, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,109494, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,45, United-States, >50K.\n57, Private,204209, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K.\n19, Private,328167, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n26, Private,157617, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, ?, <=50K.\n63, Self-emp-inc,180955, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K.\n42, Private,478373, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,245090, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K.\n34, Private,209900, 10th,6, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, ?,228649, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n35, Private,190297, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,44780, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,8, United-States, >50K.\n52, State-gov,32372, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,137184, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n67, Private,366425, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Male,99999,0,60, United-States, >50K.\n26, Private,160307, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,2001,40, United-States, <=50K.\n58, Private,170480, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n48, Private,224393, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,173212, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n25, Private,86646, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,4865,0,48, United-States, <=50K.\n25, Private,108683, Some-college,10, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,50, United-States, <=50K.\n18, Private,70021, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K.\n36, Private,192939, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n45, Self-emp-not-inc,144086, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n34, Private,97614, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n68, Self-emp-inc,260198, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,486194, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, Guatemala, <=50K.\n21, Private,112225, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,15, United-States, <=50K.\n49, Private,164200, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Local-gov,52401, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n41, Private,195821, Doctorate,16, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,40, United-States, >50K.\n35, Private,108140, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n29, Local-gov,187981, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n29, ?,108126, 9th,5, Separated, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n54, Local-gov,168212, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n32, Self-emp-not-inc,198613, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, ?, >50K.\n18, Private,52098, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n30, Private,509364, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, White, Male,0,0,40, United-States, >50K.\n66, ?,128614, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, >50K.\n23, Local-gov,238384, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n36, Private,317434, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n34, Private,158688, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n39, Self-emp-not-inc,267412, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n26, Local-gov,391074, 10th,6, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n78, Private,135692, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,78529, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Private,117700, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n33, Local-gov,83413, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, >50K.\n44, ?,210875, 11th,7, Divorced, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n34, Private,108023, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n33, Self-emp-not-inc,103435, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K.\n28, Private,632733, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n55, Private,266019, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,4, United-States, <=50K.\n30, Private,41210, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n45, Private,125892, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, Poland, <=50K.\n46, Private,135339, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K.\n17, Private,272372, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,7, United-States, <=50K.\n40, Private,291300, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Puerto-Rico, <=50K.\n44, Local-gov,157473, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n56, Private,329948, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n69, Self-emp-inc,264722, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,132853, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Mexico, <=50K.\n47, Local-gov,216586, 11th,7, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n33, Private,504725, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,3464,0,40, Mexico, <=50K.\n25, State-gov,150083, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n42, Private,188789, 7th-8th,4, Widowed, Handlers-cleaners, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n65, ?,101427, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,2653,0,30, United-States, <=50K.\n24, Private,103277, Assoc-voc,11, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n48, Federal-gov,191013, Bachelors,13, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n82, Self-emp-inc,220667, 7th-8th,4, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,188800, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n34, Private,24361, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,10520,0,40, United-States, >50K.\n28, Private,82910, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n65, Private,105586, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,20051,0,40, United-States, >50K.\n66, Self-emp-not-inc,240294, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,60, United-States, <=50K.\n40, Private,21755, Some-college,10, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K.\n66, Private,73522, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, ?, <=50K.\n37, Private,222450, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n34, Private,35595, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,239061, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n43, Private,122473, Masters,14, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,1977,50, United-States, >50K.\n20, Private,190290, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, Canada, <=50K.\n59, Private,193375, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,10, United-States, <=50K.\n48, Private,148576, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n45, State-gov,72896, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,180299, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K.\n43, Private,221550, Bachelors,13, Separated, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K.\n18, Private,183011, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,15, Haiti, <=50K.\n34, ?,370209, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n55, Self-emp-inc,298449, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2179,60, United-States, <=50K.\n21, Local-gov,300812, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Private,173938, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,282172, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n61, Private,87300, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,64520, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, State-gov,119567, Masters,14, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n45, Private,117310, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K.\n35, State-gov,28738, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,4101,0,40, United-States, <=50K.\n17, ?,99695, 10th,6, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n49, Private,366089, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n40, Private,234397, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K.\n28, Self-emp-not-inc,132686, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-inc,196963, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n31, State-gov,46492, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Local-gov,274245, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n62, Private,360032, 10th,6, Divorced, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n40, Private,144778, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n61, Private,142245, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Federal-gov,178074, Masters,14, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1902,40, United-States, >50K.\n19, ?,218171, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,2, South, <=50K.\n32, Local-gov,130242, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n52, Private,98980, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,284629, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,114591, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K.\n30, Private,134639, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,8614,0,45, United-States, >50K.\n27, Private,134890, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,199545, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n32, Private,227282, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n47, Self-emp-inc,308241, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,60, United-States, >50K.\n43, Private,214781, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Male,0,0,38, United-States, >50K.\n50, Local-gov,173630, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,36, United-States, >50K.\n42, Federal-gov,348059, Assoc-acdm,12, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K.\n31, Private,208785, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n43, Private,151809, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K.\n37, Private,71592, HS-grad,9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,17, United-States, <=50K.\n58, Private,132704, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,3325,0,40, United-States, <=50K.\n32, Private,250583, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n35, Private,114765, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, >50K.\n40, Self-emp-not-inc,194924, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n39, Self-emp-not-inc,73471, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1573,45, United-States, <=50K.\n51, Private,250423, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n42, Private,145441, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n27, Private,86681, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n69, Private,188643, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,1429,30, United-States, <=50K.\n74, Private,68326, Assoc-voc,11, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,382859, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K.\n23, ?,211968, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,23, Iran, <=50K.\n48, Local-gov,132368, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,196123, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n68, Private,178066, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,1797,0,24, United-States, <=50K.\n40, State-gov,105936, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n23, Private,306639, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,26502, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Local-gov,204698, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,118057, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Male,0,0,51, United-States, <=50K.\n22, State-gov,199266, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,17, United-States, <=50K.\n49, Private,248145, HS-grad,9, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, Nicaragua, <=50K.\n51, Private,239284, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Self-emp-inc,188738, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n31, Private,209101, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n67, Local-gov,197816, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,24, United-States, <=50K.\n27, ?,60726, Bachelors,13, Never-married, ?, Not-in-family, Black, Male,0,0,45, United-States, <=50K.\n59, Self-emp-not-inc,211678, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,15, United-States, <=50K.\n66, Private,304957, HS-grad,9, Widowed, Priv-house-serv, Unmarried, White, Female,0,0,25, United-States, <=50K.\n28, Private,278552, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K.\n33, Self-emp-not-inc,79303, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n44, Local-gov,64632, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n39, Private,560313, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,45, United-States, >50K.\n39, Local-gov,174597, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K.\n46, Private,139946, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, >50K.\n19, Private,277695, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, Mexico, <=50K.\n44, Self-emp-not-inc,138471, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Private,320615, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,2205,40, United-States, <=50K.\n48, Private,164954, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,42, United-States, <=50K.\n27, Private,263728, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3137,0,50, United-States, <=50K.\n44, Private,103980, Some-college,10, Divorced, Prof-specialty, Own-child, White, Male,3325,0,35, United-States, <=50K.\n30, Private,159442, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, Ireland, <=50K.\n32, Federal-gov,113838, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n49, Private,28171, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,15024,0,78, United-States, >50K.\n37, Self-emp-not-inc,227253, Preschool,1, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, Mexico, <=50K.\n24, Private,211129, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Female,0,0,60, United-States, >50K.\n19, Private,120003, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n20, Private,245182, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n25, Private,188767, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n29, Private,227890, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n43, Private,131650, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n35, Local-gov,258725, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Local-gov,127678, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, >50K.\n53, Private,110747, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,409246, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K.\n32, Private,128829, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n36, Private,170031, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Self-emp-not-inc,150917, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, <=50K.\n41, Private,197372, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n49, Self-emp-not-inc,43479, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Male,0,0,63, Canada, >50K.\n36, Private,166549, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Private,119684, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,2829,0,28, United-States, <=50K.\n44, Private,651702, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, United-States, <=50K.\n69, Self-emp-not-inc,199829, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1258,40, United-States, <=50K.\n22, Private,86745, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n36, Private,644278, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K.\n58, Private,31137, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3464,0,60, United-States, <=50K.\n32, Private,104525, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,40, United-States, <=50K.\n19, ?,91278, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K.\n27, Private,111361, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K.\n19, ?,291692, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,28, United-States, <=50K.\n35, Private,228881, HS-grad,9, Never-married, Craft-repair, Other-relative, Other, Male,0,0,40, Puerto-Rico, <=50K.\n58, Private,152731, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,178310, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n48, Self-emp-not-inc,116360, Assoc-voc,11, Divorced, Tech-support, Other-relative, Black, Female,0,0,10, United-States, <=50K.\n22, Private,535852, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n39, Private,30828, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,39518, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n23, Private,445758, 5th-6th,3, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n40, Private,222504, Assoc-voc,11, Never-married, Prof-specialty, Own-child, White, Female,0,0,36, United-States, <=50K.\n35, Private,357619, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Germany, <=50K.\n20, ?,121389, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,32, United-States, <=50K.\n41, Private,228847, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,118598, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n58, Private,49893, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n38, Private,452353, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n40, State-gov,285000, Bachelors,13, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n29, Private,263300, HS-grad,9, Separated, Priv-house-serv, Unmarried, Black, Female,0,0,55, United-States, <=50K.\n28, State-gov,132675, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, Germany, <=50K.\n35, Private,175232, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, Private,257421, 12th,8, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K.\n29, Private,196227, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,34965, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K.\n65, Private,475775, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,22, United-States, <=50K.\n19, Private,196857, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,594,0,15, United-States, <=50K.\n37, Private,159917, 9th,5, Separated, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K.\n22, Private,212803, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n70, Private,118902, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Scotland, <=50K.\n21, Local-gov,166827, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n21, Private,180060, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, Private,47218, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n46, Private,73541, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n33, State-gov,150688, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, India, >50K.\n36, Private,207824, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K.\n42, Self-emp-inc,198282, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n52, Private,206359, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n55, ?,125659, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,6, United-States, >50K.\n60, Local-gov,129193, Some-college,10, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n57, Local-gov,167457, 7th-8th,4, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, Private,455469, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K.\n24, Private,206891, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,269323, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n45, Local-gov,187715, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n48, Federal-gov,71376, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,268707, 11th,7, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male,0,0,42, United-States, <=50K.\n45, Private,215620, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,158438, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Private,209629, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,121076, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n34, Private,97933, 9th,5, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n25, Private,177423, HS-grad,9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,4416,0,45, Philippines, <=50K.\n39, Private,185520, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Federal-gov,38321, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,213307, 1st-4th,2, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n48, Private,328581, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n58, Private,177368, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,148903, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n53, Self-emp-not-inc,385520, HS-grad,9, Widowed, Farming-fishing, Unmarried, White, Female,0,0,55, United-States, <=50K.\n25, Self-emp-not-inc,193716, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n21, Private,238899, Bachelors,13, Never-married, Sales, Own-child, Black, Female,0,0,30, United-States, <=50K.\n36, Private,209993, 5th-6th,3, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,40, El-Salvador, <=50K.\n51, State-gov,136060, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Local-gov,192944, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,29927, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n23, Local-gov,200593, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Private,311376, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,25, United-States, <=50K.\n58, Private,206814, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,50, United-States, >50K.\n21, Private,278391, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, Nicaragua, <=50K.\n32, Private,364657, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n54, ?,120781, Doctorate,16, Married-spouse-absent, ?, Unmarried, Asian-Pac-Islander, Male,0,0,20, India, <=50K.\n62, Private,175080, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n29, ?,522241, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n43, Private,161240, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n20, Private,162282, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,60, United-States, <=50K.\n23, Private,199419, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n26, Private,171114, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,208855, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n30, Private,381030, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n63, Private,219337, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,3471,0,45, United-States, <=50K.\n45, Private,180010, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n39, Private,189382, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Private,121712, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,30, United-States, <=50K.\n28, ?,192257, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,5, United-States, <=50K.\n20, ?,68620, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Private,352188, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,398874, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n33, Private,191930, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,50, United-States, <=50K.\n26, Private,269168, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n20, ?,123536, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n40, Private,173651, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n49, Private,149337, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n64, Private,146674, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, ?, >50K.\n65, Private,173483, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n19, Private,223669, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n47, Private,182177, Some-college,10, Divorced, Protective-serv, Unmarried, White, Female,0,0,23, United-States, <=50K.\n24, Private,109414, Some-college,10, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male,0,0,20, India, <=50K.\n55, Self-emp-inc,150917, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K.\n61, Self-emp-not-inc,39128, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n47, Local-gov,103540, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n64, Private,110212, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n37, Private,222450, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,2339,40, El-Salvador, <=50K.\n21, ?,113760, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n40, ?,253717, 11th,7, Married-civ-spouse, ?, Wife, White, Female,0,0,16, United-States, <=50K.\n25, Private,306908, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,263871, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n40, State-gov,55294, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,174063, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n54, State-gov,258735, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,275867, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,154235, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n32, Local-gov,210448, Some-college,10, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n32, Private,337908, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n26, State-gov,205333, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,10, United-States, <=50K.\n23, Private,187447, Some-college,10, Separated, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Private,153589, 9th,5, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Local-gov,149988, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n43, Private,398959, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, ?,194096, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n39, Private,44041, Assoc-acdm,12, Married-spouse-absent, Adm-clerical, Other-relative, White, Male,0,0,60, United-States, <=50K.\n22, Private,208946, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,30, ?, <=50K.\n47, Private,202117, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n34, Local-gov,303129, HS-grad,9, Divorced, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n35, Private,215419, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n20, Private,175069, Some-college,10, Never-married, Sales, Own-child, White, Male,1055,0,30, United-States, <=50K.\n36, Federal-gov,20469, HS-grad,9, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n52, Private,254680, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,99, United-States, <=50K.\n38, Self-emp-inc,46385, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,178463, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,229296, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K.\n38, Private,179352, Assoc-acdm,12, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n56, Self-emp-not-inc,177368, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,156015, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n35, State-gov,308945, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K.\n60, Self-emp-not-inc,119575, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n20, Private,332689, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n18, Private,150817, 12th,8, Never-married, Protective-serv, Own-child, White, Female,0,0,45, United-States, <=50K.\n19, Private,50941, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n53, Federal-gov,59664, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,5013,0,40, United-States, <=50K.\n18, Private,56613, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,20, United-States, <=50K.\n44, Private,162372, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Puerto-Rico, <=50K.\n57, Private,77927, 5th-6th,3, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,37, United-States, <=50K.\n36, ?,157278, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,170214, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, Iran, <=50K.\n33, Private,76493, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K.\n19, Private,130431, 5th-6th,3, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, Mexico, <=50K.\n40, State-gov,23037, Some-college,10, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0,0,84, United-States, <=50K.\n20, Self-emp-not-inc,176321, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,105449, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, >50K.\n41, Private,157217, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n47, Federal-gov,382532, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K.\n23, Private,250918, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,30, United-States, <=50K.\n49, State-gov,139268, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,70, United-States, >50K.\n37, Self-emp-not-inc,200352, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n67, Private,267915, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n24, Private,376474, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,153047, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n29, Private,154236, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,58, United-States, >50K.\n22, ?,261881, 11th,7, Never-married, ?, Other-relative, Black, Female,0,0,15, United-States, <=50K.\n26, Private,427744, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-not-inc,100580, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,10, United-States, <=50K.\n23, Private,238179, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,2339,45, United-States, <=50K.\n37, State-gov,272471, Some-college,10, Widowed, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K.\n30, Private,259058, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,0,1726,40, United-States, <=50K.\n41, Private,112656, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n23, Private,197286, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n47, Federal-gov,26145, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,314440, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,57691, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Male,0,2258,70, United-States, <=50K.\n33, Private,301251, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n25, Private,243410, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n40, Private,119008, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n67, Private,169435, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,200327, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,18, United-States, <=50K.\n69, Private,31501, Assoc-voc,11, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,223327, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,1672,42, United-States, <=50K.\n52, Private,191130, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K.\n22, ?,191561, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,30, United-States, <=50K.\n47, Private,245724, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,194134, Assoc-voc,11, Never-married, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n23, Private,140764, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,1590,40, United-States, <=50K.\n41, Self-emp-not-inc,189941, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,149368, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n57, Local-gov,237546, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n34, Private,211051, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n44, State-gov,307468, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, >50K.\n46, Self-emp-not-inc,27847, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n60, Private,39263, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,3325,0,35, United-States, <=50K.\n46, Local-gov,183610, Masters,14, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, Self-emp-inc,235847, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,52, United-States, <=50K.\n44, Local-gov,32627, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,60, United-States, >50K.\n43, Private,42026, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Federal-gov,72808, 11th,7, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K.\n55, Private,377113, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,15024,0,60, United-States, >50K.\n24, Private,176389, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n65, Private,71075, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n51, Self-emp-inc,110327, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n42, State-gov,392167, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,130808, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,351757, 10th,6, Never-married, Other-service, Unmarried, White, Male,0,0,30, El-Salvador, <=50K.\n24, Self-emp-not-inc,345420, 7th-8th,4, Never-married, Farming-fishing, Other-relative, White, Male,0,0,50, United-States, <=50K.\n52, Private,220984, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,236834, 9th,5, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,35, Mexico, <=50K.\n42, Private,153489, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,330850, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,70, United-States, <=50K.\n53, Private,337195, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n35, Private,214816, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,36, United-States, <=50K.\n20, Private,92863, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,226894, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,13550,0,40, United-States, >50K.\n46, Private,40666, Bachelors,13, Divorced, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K.\n18, ?,142043, 11th,7, Never-married, ?, Other-relative, White, Male,0,0,15, United-States, <=50K.\n58, Private,105239, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n41, Private,112763, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K.\n66, Self-emp-not-inc,219220, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,2653,0,40, United-States, <=50K.\n38, State-gov,168223, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, Private,175639, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,28, United-States, <=50K.\n39, Private,167482, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Local-gov,178417, HS-grad,9, Married-civ-spouse, Protective-serv, Own-child, White, Male,0,0,40, United-States, >50K.\n26, Local-gov,33604, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,25, United-States, <=50K.\n27, Private,62082, Bachelors,13, Never-married, Sales, Own-child, Other, Male,0,0,38, United-States, <=50K.\n29, Private,149902, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,80, United-States, <=50K.\n29, Private,74784, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n47, Self-emp-inc,54260, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n62, ?,119986, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, >50K.\n29, Local-gov,165218, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n52, Local-gov,192853, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,40, Jamaica, >50K.\n27, Private,56299, 11th,7, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n53, ?,394690, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,5, United-States, <=50K.\n29, Private,208406, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n62, Private,165827, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n72, Private,249559, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n27, Private,151382, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,161141, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n27, Private,57092, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n49, Private,116927, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n56, Private,133876, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n52, Self-emp-inc,229259, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,338162, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K.\n37, Federal-gov,38948, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,169276, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n38, State-gov,364803, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,65, United-States, <=50K.\n45, Private,302677, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,1340,50, United-States, <=50K.\n35, Private,235485, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,91189, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,60, United-States, <=50K.\n54, Federal-gov,149596, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, <=50K.\n19, Private,89211, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n48, State-gov,241854, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n41, Private,213351, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,74631, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n56, Private,128696, 11th,7, Married-civ-spouse, Tech-support, Wife, Black, Female,0,0,40, United-States, <=50K.\n49, Private,141069, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n17, ?,347248, 10th,6, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n45, Private,176947, 7th-8th,4, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n46, Private,274200, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n39, Private,94036, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n52, ?,188431, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K.\n34, Local-gov,176802, 11th,7, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n65, ?,258973, Some-college,10, Widowed, ?, Not-in-family, White, Female,401,0,14, United-States, <=50K.\n46, Private,235646, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,175883, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n48, Private,154430, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n71, Private,258126, 9th,5, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,39, Cuba, <=50K.\n26, Federal-gov,337575, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n47, Self-emp-inc,308241, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n21, ?,162165, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,43, United-States, <=50K.\n23, Private,298623, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K.\n65, Private,270935, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n60, Private,338833, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,38, United-States, <=50K.\n19, ?,341631, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,25, United-States, <=50K.\n35, Private,233786, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n32, Private,366876, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, State-gov,183279, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K.\n41, Federal-gov,29606, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, >50K.\n24, Local-gov,137300, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n45, Private,184070, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K.\n48, Private,188610, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n20, Private,41356, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n51, Private,145409, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, ?, >50K.\n24, ?,287413, HS-grad,9, Never-married, ?, Not-in-family, Black, Male,0,0,60, United-States, <=50K.\n39, Local-gov,100011, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n21, Private,119673, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n49, Private,140782, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,2415,3, United-States, >50K.\n30, Private,193246, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n68, State-gov,420526, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,5, United-States, <=50K.\n30, Private,34574, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n32, Self-emp-not-inc,400061, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024,0,40, Philippines, >50K.\n49, Private,107009, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, Portugal, <=50K.\n24, Private,33551, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n34, Private,121640, Some-college,10, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male,0,0,44, United-States, <=50K.\n40, Private,179524, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, ?,473206, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,32, United-States, <=50K.\n41, Private,54422, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n23, Private,202416, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n48, Private,158685, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n56, Self-emp-inc,76534, HS-grad,9, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,21, China, <=50K.\n42, State-gov,218948, Doctorate,16, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,36, Jamaica, <=50K.\n37, Self-emp-not-inc,175120, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n32, Private,100154, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n29, Private,160510, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, >50K.\n58, Private,223214, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K.\n40, Private,79488, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,136986, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,52, United-States, >50K.\n33, Private,202339, 11th,7, Never-married, Sales, Unmarried, White, Female,0,0,34, United-States, <=50K.\n58, Private,205737, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,80145, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n22, ?,303579, Some-college,10, Never-married, ?, Own-child, White, Male,0,1602,8, United-States, <=50K.\n47, Private,235108, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K.\n41, State-gov,201363, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, >50K.\n41, Self-emp-inc,244172, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, >50K.\n73, ?,99349, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n56, Federal-gov,338242, Assoc-voc,11, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n83, ?,29702, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K.\n22, Private,146352, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,60, United-States, <=50K.\n30, Private,215182, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, ?,133456, Assoc-acdm,12, Widowed, ?, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n32, Private,79586, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K.\n27, Private,181822, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,123809, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,35, United-States, >50K.\n37, Private,35429, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,1506,0,40, United-States, <=50K.\n48, Private,151584, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,46, United-States, <=50K.\n42, Private,303725, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n35, Private,194404, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n20, Local-gov,224229, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n33, Private,236396, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K.\n25, Private,40255, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K.\n29, State-gov,214881, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Honduras, >50K.\n47, Private,332465, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n28, Private,165218, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n20, Private,34506, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n30, Local-gov,79190, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Self-emp-not-inc,79001, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Private,137876, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n57, Federal-gov,40103, 10th,6, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n24, Self-emp-inc,145964, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n32, Private,268282, 7th-8th,4, Married-spouse-absent, Farming-fishing, Other-relative, White, Male,0,0,35, Mexico, <=50K.\n67, Local-gov,272587, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,1086,0,15, United-States, <=50K.\n22, Private,220993, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Private,88676, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n29, Private,185386, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,42, Mexico, <=50K.\n37, Private,177420, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, >50K.\n20, ?,203353, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n30, Private,100734, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, State-gov,181119, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, ?,172232, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,243678, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Self-emp-inc,170174, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n48, Private,102202, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K.\n38, Private,249720, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n25, Private,167835, Assoc-voc,11, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K.\n22, Private,266780, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,24, United-States, <=50K.\n17, Private,173740, 10th,6, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n44, Private,40024, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,52, United-States, >50K.\n28, Private,193260, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,50, South, >50K.\n18, Private,175752, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n37, Private,202662, 10th,6, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n26, Private,167350, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K.\n43, Private,412379, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,28, United-States, <=50K.\n23, Self-emp-not-inc,121568, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,1504,40, United-States, <=50K.\n43, Private,56651, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n45, Private,238567, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K.\n34, Private,144949, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K.\n42, Private,234633, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,147397, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n38, Private,247547, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n35, Private,266645, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,154897, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,50, United-States, <=50K.\n44, Private,112507, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Federal-gov,110884, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,45, India, >50K.\n25, Private,151588, Some-college,10, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n54, Local-gov,217210, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,1887,38, United-States, >50K.\n22, ?,185357, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K.\n47, Private,139701, 5th-6th,3, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Dominican-Republic, <=50K.\n36, Private,50707, Bachelors,13, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,40, United-States, <=50K.\n48, Private,370119, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,50, United-States, >50K.\n66, Self-emp-not-inc,252842, HS-grad,9, Never-married, Farming-fishing, Other-relative, White, Male,0,0,20, United-States, <=50K.\n58, Private,106707, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,48, United-States, <=50K.\n25, Private,149486, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n30, Private,427541, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Female,99999,0,40, United-States, >50K.\n51, Self-emp-not-inc,22154, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,144949, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,2559,40, United-States, >50K.\n20, Private,228686, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n57, Self-emp-not-inc,113010, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n23, Federal-gov,361278, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n33, Self-emp-not-inc,109509, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n47, Private,172155, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,37, Ecuador, >50K.\n54, Private,204304, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n75, Private,233362, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-inc,141609, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n51, Private,179479, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,3325,0,40, Yugoslavia, <=50K.\n32, Private,193565, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,314539, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Private,208908, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,375526, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n31, Private,291494, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,117747, Bachelors,13, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K.\n56, Private,331569, HS-grad,9, Married-civ-spouse, Sales, Wife, Black, Female,0,0,36, United-States, <=50K.\n46, Private,146786, 10th,6, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n59, Private,147098, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,137076, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,223811, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,23, United-States, <=50K.\n69, Private,172354, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Female,1848,0,50, United-States, <=50K.\n35, Private,154410, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K.\n58, Private,277203, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, <=50K.\n21, Private,97295, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n60, Private,95680, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,45, United-States, >50K.\n29, Private,328981, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n29, Self-emp-not-inc,75435, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n53, Private,116288, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Federal-gov,136105, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,1848,40, United-States, >50K.\n55, Local-gov,134042, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n29, Private,253003, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,2258,45, United-States, >50K.\n37, Private,193106, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n37, Private,117528, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,194537, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n57, Private,195820, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,265671, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n18, ?,90636, Some-college,10, Never-married, ?, Own-child, Amer-Indian-Eskimo, Female,594,0,40, United-States, <=50K.\n57, Private,166107, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, ?, <=50K.\n49, Federal-gov,106207, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Private,187135, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,56, United-States, <=50K.\n44, Private,231793, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,52, United-States, <=50K.\n20, ?,228326, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K.\n36, Self-emp-not-inc,125933, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,50, United-States, >50K.\n29, Local-gov,211032, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K.\n51, Local-gov,125796, 11th,7, Never-married, Farming-fishing, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n19, Private,29526, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K.\n53, Private,158993, 10th,6, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n43, Private,116379, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, China, >50K.\n42, Private,201343, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2885,0,40, United-States, <=50K.\n44, Private,402718, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K.\n37, Self-emp-inc,98360, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Self-emp-not-inc,285580, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,25, United-States, <=50K.\n27, ?,119851, Some-college,10, Divorced, ?, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n30, Private,325509, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n56, Private,204745, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,3325,0,45, United-States, <=50K.\n58, Private,152874, Some-college,10, Widowed, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n20, Private,139715, HS-grad,9, Never-married, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n36, Private,141584, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n26, Private,156848, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,40151, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n24, Private,50648, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K.\n26, Private,122920, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,56, United-States, <=50K.\n19, Local-gov,91571, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K.\n21, Private,227220, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,33, United-States, <=50K.\n43, State-gov,344519, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n20, Private,133061, Some-college,10, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K.\n47, Private,219054, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n62, Local-gov,194276, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n46, Self-emp-inc,168211, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,60, United-States, <=50K.\n54, Local-gov,220054, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n43, Self-emp-inc,405601, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n34, Private,240979, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,80, United-States, <=50K.\n47, Local-gov,202606, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n58, Private,220896, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,24274, HS-grad,9, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K.\n26, Private,263444, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,14344,0,40, United-States, >50K.\n51, Local-gov,99064, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K.\n53, Private,203967, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K.\n53, State-gov,94186, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,37, United-States, <=50K.\n68, ?,110931, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n46, Local-gov,66934, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K.\n32, Self-emp-inc,196385, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,47012, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,216013, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n67, Self-emp-not-inc,98921, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,320294, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n27, Private,247102, 10th,6, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n65, Private,155632, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, United-States, <=50K.\n22, Self-emp-inc,120753, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K.\n27, Private,213921, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,30, Mexico, <=50K.\n30, Private,94235, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n44, Private,84141, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,65, United-States, <=50K.\n35, Private,237943, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,225895, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Local-gov,126569, Bachelors,13, Divorced, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, State-gov,172307, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n32, Private,111520, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,34, United-States, <=50K.\n53, Private,283079, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n41, Private,109969, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n65, Private,146159, 7th-8th,4, Widowed, Priv-house-serv, Not-in-family, Black, Female,0,1668,31, United-States, <=50K.\n22, State-gov,247319, Some-college,10, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0,0,60, United-States, <=50K.\n65, Local-gov,200764, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, >50K.\n21, Private,123868, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,137063, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, <=50K.\n24, Private,112137, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,50, South, <=50K.\n39, Private,188069, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,50, United-States, >50K.\n52, Private,102828, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,187221, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,12, El-Salvador, <=50K.\n62, Private,343982, 10th,6, Widowed, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n28, Self-emp-not-inc,146949, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,80, United-States, <=50K.\n41, Private,150011, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n28, Private,107812, 9th,5, Never-married, Transport-moving, Not-in-family, White, Male,6849,0,35, United-States, <=50K.\n43, Private,207392, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,70, United-States, >50K.\n61, State-gov,140851, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,216842, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,10, United-States, <=50K.\n34, Private,112115, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Male,0,0,40, United-States, <=50K.\n21, Local-gov,185279, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K.\n60, Private,194980, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n28, Private,189530, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K.\n32, Self-emp-not-inc,38158, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,7298,0,70, United-States, >50K.\n55, ?,246219, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,2105,0,40, United-States, <=50K.\n51, Private,143822, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,300851, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,56, United-States, <=50K.\n37, Private,184874, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,1151,0,40, United-States, <=50K.\n40, Private,83827, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, England, <=50K.\n44, Private,112847, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n27, Private,581128, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n55, Self-emp-not-inc,202652, Assoc-voc,11, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K.\n40, Private,171888, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,24, United-States, >50K.\n30, Private,45427, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n36, Private,185848, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n74, Private,282553, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Federal-gov,153614, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,65353, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K.\n44, Private,244172, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Mexico, <=50K.\n48, Private,148995, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,14084,0,45, United-States, >50K.\n25, Private,274228, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n33, Private,156383, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n49, Private,47403, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K.\n75, ?,226593, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n33, Self-emp-not-inc,94041, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1974,30, United-States, <=50K.\n29, Private,271710, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n47, Federal-gov,231797, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,55, United-States, >50K.\n33, Private,188403, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n65, Private,444725, Prof-school,15, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,48, Hungary, >50K.\n17, Private,242605, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K.\n58, Private,244605, Bachelors,13, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K.\n55, Private,335276, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n37, Self-emp-not-inc,284616, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,48, United-States, <=50K.\n60, Private,162151, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n25, Private,60358, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n34, Private,151693, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n20, ?,369907, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n26, Private,171636, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,72, United-States, <=50K.\n34, Private,118901, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, State-gov,28419, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K.\n34, Private,608881, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n31, Self-emp-inc,112564, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, ?, <=50K.\n25, Private,171472, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K.\n20, Private,236804, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K.\n38, Private,212252, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K.\n69, Private,119907, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Local-gov,352797, HS-grad,9, Married-spouse-absent, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K.\n32, Private,97281, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n65, Private,154351, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,2993,0,40, United-States, <=50K.\n22, Private,117606, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K.\n25, Private,222089, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, Thailand, <=50K.\n40, Private,199668, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n29, Local-gov,194869, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n33, Private,283268, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n60, Private,170278, 5th-6th,3, Widowed, Sales, Not-in-family, White, Female,0,0,40, Italy, <=50K.\n28, Federal-gov,90787, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K.\n28, Private,110749, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,39, United-States, <=50K.\n72, Self-emp-not-inc,173864, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,2290,0,45, United-States, <=50K.\n35, Private,278442, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,48, United-States, >50K.\n33, State-gov,162705, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,99, United-States, >50K.\n36, Private,326352, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n18, Private,105854, HS-grad,9, Never-married, Craft-repair, Other-relative, Other, Male,0,0,32, United-States, <=50K.\n38, Self-emp-inc,116608, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,20, United-States, >50K.\n48, Private,182655, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,213834, Assoc-voc,11, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n29, Private,42881, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n81, Self-emp-not-inc,240414, Bachelors,13, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n19, Private,37688, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n39, Self-emp-not-inc,189922, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n20, ?,323309, HS-grad,9, Never-married, ?, Own-child, Other, Male,0,0,60, South, <=50K.\n41, Federal-gov,341638, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,92, United-States, <=50K.\n50, Private,114758, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n54, Private,288557, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,46, United-States, <=50K.\n18, ?,191817, 11th,7, Never-married, ?, Own-child, White, Male,0,0,20, Mexico, <=50K.\n18, Private,222851, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K.\n54, Private,93605, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Private,263984, Some-college,10, Married-spouse-absent, Exec-managerial, Not-in-family, Black, Male,0,0,40, ?, <=50K.\n21, Private,190916, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n22, Private,384787, 9th,5, Never-married, Sales, Other-relative, White, Female,0,0,40, Mexico, <=50K.\n19, Local-gov,43921, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,183739, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,8, United-States, >50K.\n37, Private,490871, 11th,7, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,25, United-States, <=50K.\n31, Private,173473, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, United-States, >50K.\n31, Self-emp-not-inc,24504, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K.\n60, Private,113080, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n43, Private,197093, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n65, Private,56924, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,10, United-States, <=50K.\n33, Federal-gov,207723, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, ?, <=50K.\n32, Private,327902, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,197860, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, Haiti, <=50K.\n53, Private,95647, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n50, Private,98227, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,430151, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,0,0,30, United-States, <=50K.\n60, Private,73069, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n32, Private,101345, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,1741,40, United-States, <=50K.\n36, Private,196123, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, >50K.\n20, Private,24008, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Private,67433, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, ?,224466, HS-grad,9, Never-married, ?, Other-relative, Black, Male,0,0,24, United-States, <=50K.\n29, Private,292120, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K.\n52, Private,198362, Bachelors,13, Never-married, Sales, Other-relative, White, Female,0,0,25, United-States, <=50K.\n41, Private,231507, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,216178, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n52, ?,91447, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,2205,8, United-States, <=50K.\n40, Private,232820, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n40, Private,53956, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n22, Private,155913, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K.\n69, Private,104827, HS-grad,9, Widowed, Tech-support, Unmarried, White, Female,0,0,8, United-States, <=50K.\n28, Private,197222, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,38, United-States, <=50K.\n57, Private,255406, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,1980,44, United-States, <=50K.\n54, Federal-gov,278076, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K.\n41, Local-gov,231348, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,196286, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,76417, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-inc,190964, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3137,0,42, United-States, <=50K.\n57, Federal-gov,239486, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,45, United-States, >50K.\n18, Private,101709, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,15, United-States, <=50K.\n53, Private,120914, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,60722, HS-grad,9, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n28, Private,257405, 5th-6th,3, Never-married, Farming-fishing, Unmarried, Black, Male,0,0,40, Mexico, <=50K.\n61, Private,32209, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2051,40, United-States, <=50K.\n45, Private,431245, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Self-emp-not-inc,95082, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n57, Private,220986, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n40, Private,87771, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n72, Self-emp-inc,199233, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2377,35, United-States, >50K.\n23, Private,133515, Bachelors,13, Never-married, Sales, Unmarried, White, Female,0,0,20, United-States, <=50K.\n46, Private,117310, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n51, Private,163027, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,20, United-States, <=50K.\n46, Private,169711, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,91317, Assoc-acdm,12, Never-married, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K.\n42, Private,106159, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n53, Local-gov,177063, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,175059, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,129573, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K.\n59, Private,169611, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, Private,247506, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,37085, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n25, Private,202033, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n26, Private,179864, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n51, State-gov,88020, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K.\n28, ?,243190, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,30, ?, <=50K.\n33, Private,102270, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K.\n25, Private,81286, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n23, ?,205690, Assoc-voc,11, Never-married, ?, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n35, State-gov,37314, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,29213, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n43, Self-emp-not-inc,451019, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K.\n49, Self-emp-inc,125892, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n45, Private,259412, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K.\n49, Federal-gov,207540, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,110167, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,430336, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,7688,0,45, United-States, >50K.\n39, Self-emp-inc,210610, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,31, Cuba, >50K.\n26, Private,86483, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n17, Private,138507, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K.\n26, Federal-gov,345157, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n71, Local-gov,161342, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,3, United-States, <=50K.\n27, Private,159109, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,42, United-States, <=50K.\n34, Private,54608, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Local-gov,433602, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,38, United-States, <=50K.\n36, Self-emp-not-inc,350103, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,166193, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n41, Federal-gov,56236, HS-grad,9, Divorced, Protective-serv, Unmarried, Black, Male,1506,0,40, United-States, <=50K.\n47, Private,156926, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,26698, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n43, Self-emp-not-inc,75993, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n39, Private,312271, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n35, Private,70282, HS-grad,9, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n22, Private,259109, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,18, United-States, <=50K.\n45, Private,192360, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K.\n33, Private,373432, Some-college,10, Separated, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K.\n21, Local-gov,176998, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Federal-gov,32950, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n30, Self-emp-not-inc,48520, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,80, United-States, <=50K.\n47, State-gov,237525, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,202746, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,179255, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K.\n47, Self-emp-inc,337825, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n68, Self-emp-not-inc,191517, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Private,239130, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,2444,40, United-States, >50K.\n42, Private,233366, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Other, Male,3103,0,40, Mexico, >50K.\n36, ?,137492, HS-grad,9, Divorced, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n28, Private,66893, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,1564,50, United-States, >50K.\n61, Private,266646, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, Black, Male,2290,0,40, United-States, <=50K.\n33, Private,238246, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,40, Germany, <=50K.\n23, Private,215616, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n40, Private,148316, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,172402, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, Private,195918, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n23, Private,33016, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,267281, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n33, Federal-gov,43608, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n21, Private,57827, HS-grad,9, Widowed, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Private,110145, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,162884, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,60, Columbia, <=50K.\n43, State-gov,145166, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,84, United-States, <=50K.\n50, Private,193720, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K.\n48, Private,310639, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n49, Private,196360, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,46, United-States, >50K.\n28, Private,370675, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1408,50, Hong, <=50K.\n36, Private,398931, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K.\n28, Local-gov,104329, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K.\n61, Self-emp-inc,103575, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K.\n25, State-gov,222800, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,176239, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,321274, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,192713, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, ?, <=50K.\n25, Private,407714, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, ?,247547, HS-grad,9, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n45, Private,123219, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, Private,165950, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,21, United-States, <=50K.\n28, Private,182509, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n39, Private,27408, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,50, United-States, >50K.\n33, Private,110592, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n28, State-gov,175409, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,172822, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,15020,0,48, United-States, >50K.\n21, Private,265361, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n26, State-gov,106491, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n40, Private,179557, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n63, Private,187919, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,45, United-States, <=50K.\n45, Private,196707, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,216129, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n52, Self-emp-not-inc,100480, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n57, Self-emp-not-inc,69905, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,15024,0,40, United-States, >50K.\n38, Private,297767, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,214627, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,45, United-States, >50K.\n52, Private,251908, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,2547,40, United-States, >50K.\n55, Self-emp-inc,304695, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K.\n21, Private,48121, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,125228, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n17, Private,408012, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n57, Private,161642, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n30, Private,181212, Some-college,10, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K.\n48, Self-emp-inc,76482, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Private,295073, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,50, United-States, <=50K.\n45, ?,69596, 10th,6, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n40, Private,262461, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n34, Local-gov,112680, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n35, Private,342642, Masters,14, Married-spouse-absent, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,211968, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Local-gov,153536, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,37, United-States, >50K.\n21, Private,188923, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n30, Private,391114, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Private,45599, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, ?, <=50K.\n37, Private,119929, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,47, United-States, <=50K.\n24, Private,130442, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n41, Private,192602, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,328881, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n37, Private,165034, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2002,40, United-States, <=50K.\n39, Private,93174, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K.\n28, Local-gov,205903, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K.\n24, Self-emp-inc,197496, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K.\n29, Private,226941, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n61, Private,199193, Assoc-acdm,12, Divorced, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,187870, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n56, Private,364899, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,65, United-States, >50K.\n28, Private,437994, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,60, United-States, <=50K.\n24, Private,166827, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n35, Private,207819, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n31, Private,37939, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, <=50K.\n39, Private,77146, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n35, ?,29075, 11th,7, Divorced, ?, Unmarried, Amer-Indian-Eskimo, Female,0,0,6, United-States, <=50K.\n20, Private,167868, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n25, Private,150132, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,365881, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n37, Private,105044, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,145636, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,161547, Bachelors,13, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n34, Federal-gov,77218, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,241126, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,60, United-States, <=50K.\n85, Self-emp-inc,155981, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K.\n71, Self-emp-inc,45741, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,20051,0,30, United-States, >50K.\n23, Private,256356, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n39, State-gov,105803, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K.\n77, Self-emp-inc,29702, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, >50K.\n20, Private,107882, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n40, Private,77572, Some-college,10, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n34, Private,209768, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K.\n33, Private,89360, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,5178,0,55, United-States, >50K.\n34, Self-emp-not-inc,227540, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,60, India, <=50K.\n36, Private,292570, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,3325,0,40, United-States, <=50K.\n36, Private,409189, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Local-gov,194901, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2057,70, United-States, <=50K.\n26, Local-gov,219796, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,43, United-States, <=50K.\n37, State-gov,117166, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, ?, <=50K.\n42, Private,228320, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,5178,0,45, United-States, >50K.\n38, Private,236391, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n48, Private,193451, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,223367, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Private,33001, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,173858, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7688,0,35, China, >50K.\n33, Private,240441, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n26, Private,160264, 11th,7, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n25, Private,230403, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n61, Private,154536, 10th,6, Widowed, Craft-repair, Unmarried, Black, Female,0,2001,40, United-States, <=50K.\n44, Self-emp-not-inc,247024, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n65, Self-emp-inc,410199, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,35, United-States, >50K.\n23, Private,191878, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,38, ?, <=50K.\n67, State-gov,54269, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K.\n37, Private,205997, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,47343, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,70, United-States, >50K.\n35, Federal-gov,403489, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n48, Private,232149, Bachelors,13, Divorced, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K.\n50, ?,339547, Some-college,10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,0,50, ?, <=50K.\n36, Private,186819, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,89991, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,35, United-States, <=50K.\n32, Private,112139, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K.\n18, Private,244571, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n36, Private,220696, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n50, Private,135102, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n24, Private,209417, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,60, United-States, >50K.\n43, Private,199689, Bachelors,13, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,20, United-States, <=50K.\n27, Private,240172, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n17, ?,94492, 10th,6, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n29, Private,188564, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,45, United-States, >50K.\n19, Private,264527, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n38, Private,189922, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n64, Private,182044, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n31, Self-emp-not-inc,271173, Some-college,10, Never-married, Craft-repair, Own-child, Black, Male,4650,0,40, United-States, <=50K.\n30, Private,203034, Assoc-voc,11, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,100734, Bachelors,13, Married-civ-spouse, Exec-managerial, Other-relative, White, Female,0,0,40, Greece, >50K.\n33, Private,169269, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, Puerto-Rico, >50K.\n59, Private,24244, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,132222, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n27, Private,199118, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,4865,0,40, United-States, <=50K.\n34, Private,223212, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, Peru, <=50K.\n27, Private,284859, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,112854, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,35, United-States, <=50K.\n41, Federal-gov,92968, Masters,14, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n36, Private,181553, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K.\n25, Private,266668, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,20, United-States, <=50K.\n33, Private,29144, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n26, Self-emp-not-inc,389856, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n42, Private,111589, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,232938, Some-college,10, Never-married, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K.\n45, Private,103540, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K.\n59, Private,249814, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n26, Private,30776, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,184779, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Self-emp-not-inc,93449, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K.\n32, Local-gov,178107, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,198956, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Other, Male,0,0,35, United-States, <=50K.\n53, Private,130143, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n47, Private,171807, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, ?,436431, Preschool,1, Married-civ-spouse, ?, Other-relative, White, Female,0,0,40, Mexico, <=50K.\n17, Private,162205, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,15, United-States, <=50K.\n48, Private,97470, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n32, Self-emp-not-inc,158603, Assoc-voc,11, Never-married, Sales, Unmarried, White, Female,0,0,7, United-States, <=50K.\n58, Private,348430, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n72, Private,109385, 1st-4th,2, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,36, United-States, <=50K.\n45, Private,188998, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n41, Private,210591, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n66, Self-emp-not-inc,37170, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,42, United-States, >50K.\n34, Private,169583, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K.\n33, Private,180624, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n47, Private,186311, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n35, Private,106471, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n27, Private,37302, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,91608, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,263896, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n25, Private,335376, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K.\n38, Private,186531, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, State-gov,42706, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K.\n29, Private,180115, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n42, Private,191196, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,209109, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,199224, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n65, State-gov,42488, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,2653,0,8, United-States, <=50K.\n19, Self-emp-not-inc,63574, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,227943, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n54, Private,297551, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K.\n46, Private,343579, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,77, United-States, <=50K.\n34, Private,230246, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,2202,0,99, United-States, <=50K.\n57, Self-emp-not-inc,110199, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K.\n32, Private,178691, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,45, United-States, <=50K.\n36, Self-emp-not-inc,165855, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Germany, <=50K.\n34, Private,27565, Assoc-voc,11, Married-civ-spouse, Craft-repair, Wife, Amer-Indian-Eskimo, Female,0,0,27, United-States, >50K.\n54, Private,220115, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1628,40, United-States, <=50K.\n34, Private,113751, 11th,7, Divorced, Sales, Own-child, Black, Female,0,0,37, United-States, <=50K.\n72, Private,128793, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,36, United-States, <=50K.\n23, Private,97472, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,153064, 5th-6th,3, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,10, Yugoslavia, >50K.\n57, Private,190488, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n22, Local-gov,326283, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K.\n40, Private,61287, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,214288, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,198856, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K.\n51, Federal-gov,914061, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,44, United-States, >50K.\n24, Private,186648, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K.\n49, Private,350759, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n76, ?,197988, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K.\n37, Private,188571, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,112776, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K.\n21, Private,100345, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,53, United-States, <=50K.\n49, Private,291783, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n69, ?,156387, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n38, ?,295166, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K.\n44, Private,132849, Masters,14, Never-married, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n31, Private,300497, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n54, Private,338089, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,104257, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n40, Private,112247, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n41, Federal-gov,73070, Masters,14, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K.\n48, Self-emp-inc,49298, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K.\n51, Local-gov,289390, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K.\n36, Private,219546, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n35, Private,194490, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,358655, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, >50K.\n39, Private,286026, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K.\n55, Private,401473, Masters,14, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n26, Private,197967, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, Local-gov,216647, 10th,6, Divorced, Protective-serv, Unmarried, White, Female,0,0,20, United-States, <=50K.\n70, Self-emp-not-inc,355536, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,24, United-States, <=50K.\n20, Private,193130, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K.\n46, Self-emp-inc,67725, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, <=50K.\n35, Private,209629, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,143964, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n57, Self-emp-inc,249072, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,60, United-States, >50K.\n64, ?,285742, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, >50K.\n63, Self-emp-not-inc,130221, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n21, Federal-gov,201815, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,30, United-States, <=50K.\n43, Local-gov,67243, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K.\n35, Private,202263, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n21, Private,122048, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,29, United-States, <=50K.\n23, Private,231866, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,38, United-States, <=50K.\n35, Private,211440, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n28, Private,25955, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n61, ?,274499, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,305474, 10th,6, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Haiti, <=50K.\n73, Local-gov,222702, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,5, United-States, <=50K.\n33, State-gov,120460, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,31657, Assoc-voc,11, Separated, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K.\n19, Private,327079, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, Private,234633, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,47, United-States, <=50K.\n27, Private,203776, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,45, United-States, >50K.\n24, Self-emp-inc,242138, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n19, Private,276937, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n36, Private,117528, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n41, Self-emp-not-inc,171351, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n43, Private,138471, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Local-gov,329341, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K.\n57, Private,62539, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,1876,38, United-States, <=50K.\n58, Private,265579, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Private,218215, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n39, Federal-gov,116369, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K.\n24, Private,403107, Preschool,1, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n29, State-gov,103389, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,4787,0,40, United-States, >50K.\n26, State-gov,624006, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,344094, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n67, Self-emp-inc,147377, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n49, Private,90579, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,5013,0,50, United-States, <=50K.\n47, Private,91972, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,35, United-States, >50K.\n59, Self-emp-not-inc,275236, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K.\n23, Private,340432, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,158592, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,50, United-States, >50K.\n48, Private,278303, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n33, Self-emp-not-inc,300681, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, ?, <=50K.\n37, Private,160192, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,6849,0,80, United-States, <=50K.\n29, Private,148429, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n24, Private,210474, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n41, Private,510072, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n21, Self-emp-not-inc,328906, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,4865,0,35, United-States, <=50K.\n26, Private,247196, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K.\n54, Private,178839, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,40, England, >50K.\n60, Private,178764, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K.\n38, Private,218490, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,44047, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Local-gov,125268, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n37, Local-gov,76845, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, ?, <=50K.\n37, Local-gov,484475, Bachelors,13, Never-married, Other-service, Not-in-family, Black, Male,0,0,60, United-States, <=50K.\n22, Private,114357, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n33, Private,219619, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K.\n22, ?,33016, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Local-gov,319205, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n54, ?,389182, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,60, Germany, <=50K.\n34, Private,262118, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n50, Private,141340, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,189703, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, United-States, <=50K.\n41, ?,307589, Bachelors,13, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,5, Philippines, <=50K.\n29, Private,116531, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,142621, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Self-emp-inc,327573, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,24896, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n36, Private,69251, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n38, Private,91716, 11th,7, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,93717, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n38, Self-emp-not-inc,111499, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n41, ?,193537, Assoc-acdm,12, Divorced, ?, Unmarried, White, Female,0,0,10, Dominican-Republic, <=50K.\n24, Private,307267, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n52, Private,249196, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n64, ?,201700, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,188644, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, Mexico, <=50K.\n32, Private,255004, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n34, Private,100145, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K.\n18, Private,183274, 11th,7, Never-married, Other-service, Own-child, White, Female,594,0,30, United-States, <=50K.\n45, Self-emp-not-inc,44671, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,354351, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,346189, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n49, Private,304864, Some-college,10, Divorced, Tech-support, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n68, Self-emp-inc,505365, Bachelors,13, Separated, Sales, Unmarried, White, Male,0,0,70, Canada, <=50K.\n18, State-gov,268520, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n27, State-gov,210295, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,103339, 10th,6, Never-married, Sales, Own-child, White, Female,0,1719,16, United-States, <=50K.\n33, Private,145437, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n48, Private,56071, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n34, Private,233729, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,50, United-States, >50K.\n41, Private,265932, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n74, Private,154347, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n40, Private,277507, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,1669,40, United-States, <=50K.\n53, Federal-gov,172898, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n47, Private,182655, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,52, United-States, >50K.\n20, ?,175431, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n30, Private,181460, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,37, United-States, <=50K.\n38, Private,149771, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K.\n44, Private,45363, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,44, United-States, >50K.\n48, Private,180010, Some-college,10, Separated, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K.\n36, ?,103886, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K.\n20, Private,233198, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Federal-gov,124974, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n61, ?,29059, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K.\n34, Private,136331, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n43, Private,106900, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Self-emp-not-inc,314464, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n51, State-gov,152810, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n50, State-gov,76728, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,39, United-States, <=50K.\n42, Private,55854, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,36801, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,18, United-States, <=50K.\n51, ?,243631, HS-grad,9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,2105,0,20, South, <=50K.\n46, Local-gov,155654, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Private,173987, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K.\n18, Private,115725, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n21, Private,154556, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, ?, <=50K.\n33, Self-emp-not-inc,234976, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K.\n27, Private,122913, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Local-gov,187411, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K.\n31, Private,193285, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, ?,96219, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,50, United-States, <=50K.\n20, Private,117767, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-inc,81534, HS-grad,9, Never-married, Sales, Unmarried, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n22, Private,202125, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n40, Local-gov,225660, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, State-gov,203279, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,20, India, <=50K.\n40, Self-emp-not-inc,151960, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,38, United-States, <=50K.\n48, Private,368561, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,37, United-States, >50K.\n30, Private,202046, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n61, Private,197286, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n49, Self-emp-not-inc,285570, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n22, Private,380899, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,325217, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,32, United-States, <=50K.\n26, Private,111058, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K.\n27, State-gov,162312, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,50, South, <=50K.\n41, Self-emp-inc,136986, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Federal-gov,97654, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,229116, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,32, United-States, <=50K.\n43, Private,159549, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K.\n29, Private,195760, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K.\n44, Self-emp-inc,277788, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Portugal, >50K.\n37, State-gov,120201, Some-college,10, Divorced, Adm-clerical, Own-child, Other, Female,0,0,40, United-States, <=50K.\n24, Private,236601, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,2339,43, United-States, <=50K.\n65, ?,94809, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,219757, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Local-gov,160728, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n39, Private,308945, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,50, United-States, <=50K.\n47, Self-emp-not-inc,185859, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,3103,0,60, United-States, >50K.\n47, ?,163748, Masters,14, Divorced, ?, Unmarried, White, Female,0,0,35, ?, <=50K.\n51, State-gov,48358, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,52, United-States, >50K.\n38, Federal-gov,77792, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,56, United-States, <=50K.\n44, Private,114753, Some-college,10, Widowed, Tech-support, Unmarried, White, Female,0,0,38, United-States, <=50K.\n24, Private,234259, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n41, Private,152617, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n51, Private,204567, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n60, Self-emp-not-inc,145209, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n40, Private,240698, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n72, ?,195181, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K.\n27, Private,299536, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,55, United-States, <=50K.\n36, Private,238802, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K.\n44, Private,150519, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n33, State-gov,237903, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Self-emp-not-inc,257940, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Private,383670, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K.\n44, Private,179666, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,259727, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n52, Federal-gov,277772, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,67198, Assoc-acdm,12, Widowed, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K.\n41, Private,22419, 9th,5, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,84, United-States, <=50K.\n42, Private,99373, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n54, Federal-gov,147629, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,35, United-States, >50K.\n31, Self-emp-not-inc,145714, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K.\n30, Private,49358, 12th,8, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K.\n21, Private,214956, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,30, United-States, <=50K.\n29, Private,66172, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Local-gov,136749, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n27, ?,258231, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,35, ?, <=50K.\n19, Private,43937, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n33, Self-emp-not-inc,114639, 11th,7, Never-married, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K.\n72, Self-emp-not-inc,104090, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Scotland, <=50K.\n21, Private,137510, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, Germany, <=50K.\n23, Private,123586, Some-college,10, Never-married, Adm-clerical, Own-child, Other, Male,0,0,25, United-States, <=50K.\n45, Private,293628, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, Philippines, >50K.\n37, Federal-gov,239409, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K.\n37, Self-emp-inc,593246, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, >50K.\n36, Private,30269, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,7298,0,32, United-States, >50K.\n31, Private,48456, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n63, Private,153894, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,24, Puerto-Rico, <=50K.\n24, Private,182117, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,28, United-States, <=50K.\n29, Private,231148, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n53, Private,184176, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n40, Self-emp-not-inc,29702, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,85, United-States, <=50K.\n40, Private,276759, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, >50K.\n36, Private,179731, HS-grad,9, Never-married, Priv-house-serv, Other-relative, White, Female,0,0,20, ?, <=50K.\n64, Private,234570, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,143485, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n20, Private,143062, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Private,146516, Some-college,10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,48, United-States, <=50K.\n19, ?,180395, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,36, United-States, <=50K.\n32, Private,108256, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n25, Private,211392, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n26, Federal-gov,271243, 12th,8, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, Haiti, <=50K.\n25, Local-gov,197822, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,167678, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Dominican-Republic, >50K.\n30, Private,30101, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n46, Local-gov,232220, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n29, ?,212588, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,53, United-States, <=50K.\n35, Private,306156, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n30, Self-emp-not-inc,70985, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, <=50K.\n58, Private,185459, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,91141, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,8, United-States, <=50K.\n42, Private,347653, Bachelors,13, Divorced, Other-service, Unmarried, White, Male,0,0,60, United-States, <=50K.\n31, Private,189759, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n46, Private,272792, Bachelors,13, Divorced, Craft-repair, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n27, ?,95708, 11th,7, Divorced, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n71, ?,111712, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K.\n32, Private,132767, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n62, Self-emp-not-inc,162245, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K.\n78, Self-emp-not-inc,152148, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K.\n54, ?,186565, Masters,14, Divorced, ?, Not-in-family, White, Male,0,0,1, United-States, <=50K.\n22, Private,193385, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n31, Private,185778, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n32, Private,162370, Masters,14, Separated, Prof-specialty, Not-in-family, White, Female,0,0,35, Iran, <=50K.\n38, Private,340763, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,2339,47, United-States, <=50K.\n77, Private,148949, 10th,6, Married-civ-spouse, Other-service, Husband, Black, Male,3818,0,30, United-States, <=50K.\n62, Self-emp-not-inc,147393, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K.\n33, Local-gov,187203, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n40, Local-gov,147206, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n65, Private,228182, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,177426, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K.\n32, ?,161288, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K.\n32, Private,133530, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K.\n45, Private,117849, 11th,7, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K.\n70, Private,132670, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,9386,0,4, United-States, >50K.\n38, Self-emp-inc,98360, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n37, Private,226500, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n30, Private,35644, Assoc-voc,11, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n34, Private,49325, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n19, Private,142738, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,14084,0,20, United-States, >50K.\n54, Self-emp-not-inc,207841, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n32, Private,269355, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,50, United-States, >50K.\n32, Self-emp-inc,190290, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,209034, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n35, Private,174571, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n28, Private,198583, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,35, United-States, <=50K.\n28, Private,128055, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n41, Private,319271, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,91857, HS-grad,9, Divorced, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K.\n21, Private,376416, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Local-gov,323829, HS-grad,9, Divorced, Protective-serv, Other-relative, White, Male,0,0,45, United-States, <=50K.\n22, Private,209646, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,6, United-States, <=50K.\n28, State-gov,90872, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n52, Private,287454, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K.\n23, Private,208946, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Local-gov,130805, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,99, United-States, >50K.\n23, Private,247090, 9th,5, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,55, United-States, <=50K.\n21, Private,249150, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K.\n57, Private,187138, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,166497, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,60, United-States, >50K.\n50, Private,155433, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n45, State-gov,164593, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, ?, <=50K.\n37, Private,211168, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,35, United-States, <=50K.\n24, Self-emp-not-inc,162688, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Local-gov,185072, Bachelors,13, Separated, Prof-specialty, Unmarried, Black, Female,0,0,40, Jamaica, >50K.\n50, Private,154153, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n58, Self-emp-not-inc,166258, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n31, Self-emp-not-inc,190650, Masters,14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K.\n60, State-gov,165792, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,8, United-States, <=50K.\n61, Private,313170, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,188279, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Thailand, <=50K.\n27, Self-emp-not-inc,209301, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n37, Private,194820, HS-grad,9, Separated, Craft-repair, Unmarried, White, Female,0,0,42, United-States, <=50K.\n36, Private,171393, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K.\n31, Private,268282, 7th-8th,4, Married-civ-spouse, Farming-fishing, Other-relative, White, Male,0,0,35, Mexico, <=50K.\n23, Private,219519, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,30, United-States, <=50K.\n44, State-gov,369131, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,195571, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K.\n57, Private,114686, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,2202,0,44, United-States, <=50K.\n24, Private,356861, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n26, Private,156848, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n66, Private,147766, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n60, Local-gov,134768, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Self-emp-not-inc,156882, Some-college,10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n21, Private,131404, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K.\n32, Self-emp-inc,233727, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,60, United-States, >50K.\n21, ?,216867, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n48, Private,168556, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n63, Private,60459, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n42, Private,212894, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,23, United-States, >50K.\n17, Private,41865, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,5, United-States, <=50K.\n30, Private,175413, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,35, United-States, <=50K.\n33, Private,149902, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n55, Private,180497, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,52, United-States, <=50K.\n39, Self-emp-not-inc,107302, Bachelors,13, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,35, United-States, >50K.\n33, Private,93283, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K.\n34, Self-emp-not-inc,264351, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K.\n59, State-gov,136819, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,8, United-States, >50K.\n32, Self-emp-not-inc,295010, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n62, Private,291904, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, Black, Female,0,0,20, United-States, <=50K.\n21, Self-emp-inc,225442, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n57, State-gov,170108, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K.\n19, Private,193859, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,2176,0,35, Germany, <=50K.\n38, Local-gov,326701, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, >50K.\n38, State-gov,196373, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n20, Private,258730, HS-grad,9, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, United-States, <=50K.\n24, Private,190293, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Local-gov,170263, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,30, United-States, >50K.\n24, Private,300275, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, State-gov,255254, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,37, United-States, <=50K.\n51, Private,166461, 11th,7, Divorced, Machine-op-inspct, Unmarried, Black, Female,5455,0,40, United-States, <=50K.\n27, Private,96219, HS-grad,9, Divorced, Other-service, Own-child, White, Female,3418,0,32, United-States, <=50K.\n38, Self-emp-inc,186845, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,99697, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, Private,143069, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n53, Private,117674, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K.\n35, Private,261504, HS-grad,9, Married-spouse-absent, Transport-moving, Other-relative, White, Female,0,0,40, Dominican-Republic, <=50K.\n37, Private,29660, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Private,202560, Assoc-acdm,12, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, >50K.\n27, Private,178713, 11th,7, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n34, Private,100734, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n24, Private,112009, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K.\n69, Private,144056, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,70209, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n19, Private,143816, Some-college,10, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,30, United-States, <=50K.\n23, ?,164732, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n30, State-gov,714597, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,45, United-States, <=50K.\n71, Private,187703, Assoc-voc,11, Widowed, Prof-specialty, Unmarried, White, Female,11678,0,38, United-States, >50K.\n53, Private,418901, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K.\n22, Private,169188, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n47, Private,70554, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K.\n28, Private,31801, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,50, United-States, >50K.\n25, Self-emp-not-inc,195000, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,215392, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298,0,45, United-States, >50K.\n33, Private,97723, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n41, Private,121012, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n19, Private,218956, 12th,8, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,171003, 7th-8th,4, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K.\n20, Self-emp-inc,154782, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K.\n27, ?,132372, HS-grad,9, Never-married, ?, Unmarried, White, Female,0,0,40, ?, <=50K.\n18, ?,151404, 11th,7, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n53, Private,816750, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,72, United-States, >50K.\n67, Private,92943, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,21, United-States, <=50K.\n47, ?,104489, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K.\n55, Self-emp-not-inc,218456, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, Hungary, <=50K.\n39, Private,301614, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,307134, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, <=50K.\n37, State-gov,106347, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n36, Private,127961, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n32, Self-emp-inc,206297, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n20, Private,171156, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n31, Private,104729, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,35, Mexico, <=50K.\n47, Private,85109, Some-college,10, Never-married, Sales, Not-in-family, White, Male,13550,0,45, United-States, >50K.\n25, Private,199143, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Private,110371, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,250782, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,281574, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,6849,0,43, United-States, <=50K.\n28, Private,147889, 10th,6, Married-AF-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n36, Private,298753, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n55, Private,248841, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n51, Self-emp-inc,274948, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n22, Private,41763, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, <=50K.\n27, ?,176683, Some-college,10, Never-married, ?, Own-child, White, Male,0,1719,40, United-States, <=50K.\n37, Private,385251, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,145964, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n61, Private,33460, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n46, State-gov,121586, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Federal-gov,112008, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Germany, <=50K.\n24, Private,163053, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n21, ?,34446, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K.\n33, Self-emp-not-inc,147201, Bachelors,13, Separated, Prof-specialty, Own-child, Black, Male,0,0,35, United-States, <=50K.\n60, Private,491214, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n36, Private,102729, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, >50K.\n37, ?,70282, HS-grad,9, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n48, Self-emp-inc,216214, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K.\n43, Private,212206, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n53, Local-gov,235567, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Private,356410, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,99999,0,40, United-States, >50K.\n26, Private,223558, HS-grad,9, Never-married, Tech-support, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n63, Federal-gov,160473, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Private,150999, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K.\n41, Private,230961, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n71, Private,169114, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Male,0,1429,40, United-States, <=50K.\n39, Private,301070, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K.\n23, Private,163687, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,180419, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, Private,114828, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,4, United-States, <=50K.\n44, Private,208606, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n19, Private,165977, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n28, Private,110408, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n41, Private,266047, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,176124, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,144063, 10th,6, Never-married, Craft-repair, Unmarried, White, Male,0,0,75, United-States, <=50K.\n29, Self-emp-inc,446724, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n59, Private,357118, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,102388, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K.\n27, Private,191515, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n31, Private,94413, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,3325,0,40, United-States, <=50K.\n42, Federal-gov,32627, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,45, United-States, >50K.\n37, Private,218249, 11th,7, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n38, Private,308798, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n24, Private,199005, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n29, State-gov,108432, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,149218, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n26, Private,552529, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K.\n43, Private,222596, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Poland, >50K.\n31, Private,168961, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n37, Private,206951, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,386236, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, Mexico, <=50K.\n20, Private,196388, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,25, United-States, <=50K.\n32, Private,162675, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, Cuba, <=50K.\n38, Private,187847, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n39, Private,186934, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K.\n75, ?,27663, 7th-8th,4, Separated, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n27, Private,180271, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K.\n35, Private,215503, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, Canada, <=50K.\n40, Private,110862, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n28, Private,197905, Some-college,10, Widowed, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K.\n25, Private,355124, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,2001,40, Mexico, <=50K.\n29, Self-emp-not-inc,109621, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,194995, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,137136, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,55, United-States, <=50K.\n47, Private,67229, 11th,7, Divorced, Transport-moving, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n44, Private,197033, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Local-gov,187746, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,3325,0,25, United-States, <=50K.\n40, Private,98211, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,54298, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K.\n48, Self-emp-not-inc,49275, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1485,50, United-States, <=50K.\n22, Private,237386, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n40, Private,67243, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,168191, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,2, Italy, <=50K.\n25, Private,132327, Some-college,10, Separated, Adm-clerical, Other-relative, Other, Female,0,0,40, Ecuador, <=50K.\n17, Private,175109, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n61, State-gov,224638, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,128487, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n30, Private,179747, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n46, Private,195416, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,44, United-States, >50K.\n37, Private,176949, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n31, Private,114691, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n27, State-gov,122540, Some-college,10, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n36, Private,93461, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,30, United-States, <=50K.\n45, Private,54098, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n22, Private,333838, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,174789, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n70, Private,227515, 10th,6, Widowed, Transport-moving, Unmarried, White, Female,0,0,40, Greece, <=50K.\n45, Federal-gov,391585, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,50, United-States, >50K.\n23, Private,83315, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,10, United-States, <=50K.\n22, Private,213310, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n47, Private,127303, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,255476, 5th-6th,3, Never-married, Other-service, Other-relative, White, Male,0,0,35, Mexico, <=50K.\n40, Private,320451, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K.\n33, Private,454717, Some-college,10, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,374474, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n19, Private,78401, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n58, Private,168887, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n55, Private,254711, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, >50K.\n23, Private,196678, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n53, Private,217201, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,45, United-States, >50K.\n24, Private,160398, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,30, United-States, <=50K.\n43, Private,288829, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,42, United-States, >50K.\n20, Private,185706, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n22, Private,201615, Assoc-acdm,12, Never-married, Adm-clerical, Other-relative, White, Female,0,0,37, United-States, <=50K.\n48, Private,157092, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n45, Private,130561, 11th,7, Never-married, Sales, Not-in-family, Black, Female,0,0,35, United-States, <=50K.\n33, Private,202450, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,303942, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Local-gov,339346, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,10520,0,60, United-States, >50K.\n21, ?,234838, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n42, Private,38389, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,147548, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n62, Self-emp-not-inc,116626, Doctorate,16, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n46, Local-gov,110110, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,65, United-States, >50K.\n44, Private,230478, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K.\n28, Private,398220, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n38, Self-emp-not-inc,187346, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n59, Self-emp-not-inc,175827, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,211494, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,1980,55, United-States, <=50K.\n59, Private,105745, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K.\n55, Private,237428, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,1504,40, United-States, <=50K.\n40, Private,200766, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,14344,0,40, United-States, >50K.\n22, State-gov,24896, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n35, Private,107164, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n42, Private,202083, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Canada, <=50K.\n45, State-gov,53768, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,70, United-States, <=50K.\n48, Private,159577, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n76, ?,209674, 7th-8th,4, Divorced, ?, Not-in-family, White, Female,0,0,7, United-States, <=50K.\n21, Private,309348, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,18, United-States, <=50K.\n31, Private,206046, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n65, Self-emp-not-inc,227531, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n46, Self-emp-not-inc,135339, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,45, India, >50K.\n18, Private,155503, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n65, Self-emp-not-inc,176835, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,7978,0,40, United-States, <=50K.\n18, Private,163067, Some-college,10, Never-married, Protective-serv, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Private,212607, Some-college,10, Never-married, Adm-clerical, Unmarried, Other, Female,0,0,44, Puerto-Rico, <=50K.\n53, Self-emp-inc,162381, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K.\n34, Private,195890, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n33, Federal-gov,49358, 10th,6, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n28, Private,136077, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, <=50K.\n43, Private,119297, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,48947, Assoc-voc,11, Widowed, Other-service, Unmarried, White, Female,0,0,13, United-States, <=50K.\n49, Self-emp-not-inc,32825, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n21, State-gov,82847, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n61, Private,119684, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K.\n54, Private,264143, 9th,5, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,24, United-States, <=50K.\n45, Private,30690, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n24, Private,113631, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,366889, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,393962, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n48, Private,165484, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,0,65, United-States, >50K.\n40, Federal-gov,90737, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1887,40, United-States, >50K.\n34, Private,379798, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n29, Private,190911, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,72887, 11th,7, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K.\n65, Private,192309, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n58, Self-emp-not-inc,98361, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,121253, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Female,0,0,29, United-States, <=50K.\n56, State-gov,270859, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,48, United-States, >50K.\n26, Self-emp-not-inc,223705, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, Columbia, <=50K.\n45, Private,125892, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K.\n37, Self-emp-not-inc,202683, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n58, ?,99131, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,7298,0,40, United-States, >50K.\n56, Private,197577, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Without-pay,43627, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K.\n37, Private,175185, Assoc-voc,11, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, Private,377405, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n24, Private,47541, Masters,14, Never-married, Transport-moving, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n36, Private,218729, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,30, United-States, >50K.\n26, Local-gov,197430, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n57, Private,259010, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,84, United-States, <=50K.\n49, Private,121124, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n21, ?,334593, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,374764, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n59, Private,192845, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,144524, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n31, Self-emp-inc,136402, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,255847, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K.\n29, Private,177955, 9th,5, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,24, El-Salvador, <=50K.\n35, Private,151835, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K.\n18, Private,65098, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K.\n27, Self-emp-not-inc,328119, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, Mexico, <=50K.\n55, Private,125147, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n52, Private,62834, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,20, United-States, >50K.\n51, State-gov,230095, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K.\n41, Federal-gov,348059, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K.\n34, Private,425622, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K.\n25, Local-gov,336320, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,225809, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n80, Private,216073, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, United-States, <=50K.\n27, Private,267912, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,52, Mexico, <=50K.\n28, Private,108706, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K.\n43, Private,575172, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,32, United-States, >50K.\n18, Private,311489, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,26, United-States, <=50K.\n46, Private,189123, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, United-States, >50K.\n42, Private,95998, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n50, Self-emp-inc,177487, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K.\n30, Private,213002, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,14, United-States, <=50K.\n55, Private,272723, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n58, Private,84231, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,475322, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,1617,35, United-States, <=50K.\n25, Private,120268, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,1741,40, United-States, <=50K.\n22, ?,60331, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n59, Private,172618, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,56, United-States, <=50K.\n36, State-gov,173273, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n25, Private,52921, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n19, Private,210364, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n34, Private,87310, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,2174,0,40, United-States, <=50K.\n51, Private,332489, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, Germany, >50K.\n31, Private,100333, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n21, Private,216867, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, ?,177974, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,292110, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n39, Federal-gov,219137, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,159589, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2051,40, United-States, <=50K.\n38, Private,186815, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, <=50K.\n21, Private,22149, HS-grad,9, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0,0,30, United-States, <=50K.\n22, Private,228724, Assoc-voc,11, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, State-gov,187392, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,105930, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n53, State-gov,182907, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n68, Private,322025, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,5, United-States, <=50K.\n21, Private,263886, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,20, United-States, <=50K.\n34, Local-gov,362775, 10th,6, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female,0,0,30, United-States, <=50K.\n53, Private,96062, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n59, ?,191665, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,2205,40, United-States, <=50K.\n32, Self-emp-not-inc,159322, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,1980,80, United-States, <=50K.\n33, Local-gov,163867, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K.\n34, Self-emp-not-inc,136204, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,32, United-States, >50K.\n61, Private,160431, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n46, Private,163324, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n32, ?,161309, Prof-school,15, Married-civ-spouse, ?, Wife, White, Female,15024,0,50, United-States, >50K.\n26, Private,208881, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n37, Self-emp-not-inc,183127, HS-grad,9, Divorced, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n41, Private,192225, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n59, Local-gov,222081, Bachelors,13, Never-married, Prof-specialty, Other-relative, Black, Female,0,0,35, United-States, <=50K.\n28, Private,183627, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n39, Private,187921, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, <=50K.\n25, Private,25497, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,4101,0,40, United-States, <=50K.\n45, Private,353824, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,250804, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,385583, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Private,84788, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n54, Private,127704, 7th-8th,4, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n54, ?,99208, Preschool,1, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K.\n45, Private,347993, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, Mexico, <=50K.\n48, Private,175958, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n36, Self-emp-not-inc,278553, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Black, Male,15024,0,75, United-States, >50K.\n49, Private,186009, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,43, United-States, <=50K.\n31, Private,55104, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n65, Local-gov,179411, HS-grad,9, Widowed, Tech-support, Unmarried, White, Female,0,0,35, United-States, <=50K.\n56, Private,68452, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n38, Local-gov,202027, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n70, Private,113401, 10th,6, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,186934, Bachelors,13, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, >50K.\n43, Federal-gov,190020, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n28, Private,198493, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,256448, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,15, United-States, <=50K.\n30, Private,622192, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,6, United-States, <=50K.\n77, Private,133728, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,181824, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,20, United-States, <=50K.\n17, Private,286422, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K.\n59, Private,378585, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K.\n44, Private,121012, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,45, United-States, <=50K.\n33, Private,164864, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,323,40, United-States, <=50K.\n17, Private,74706, 11th,7, Never-married, Priv-house-serv, Own-child, White, Male,0,0,20, United-States, <=50K.\n22, Private,185582, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, >50K.\n43, Private,132633, Some-college,10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, ?, <=50K.\n42, Federal-gov,230438, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1887,40, United-States, >50K.\n26, Private,175540, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Local-gov,115304, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,340269, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,45, United-States, <=50K.\n33, Private,171889, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n52, Private,94873, HS-grad,9, Widowed, Other-service, Unmarried, White, Male,0,0,19, United-States, <=50K.\n34, ?,144194, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K.\n44, Private,141131, 12th,8, Divorced, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0,0,40, South, <=50K.\n25, Private,192735, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,70, United-States, <=50K.\n33, Self-emp-not-inc,238186, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,98, United-States, <=50K.\n23, Private,305609, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,52, United-States, <=50K.\n29, Private,312845, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K.\n21, Private,33884, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, ?,264874, Assoc-voc,11, Never-married, ?, Other-relative, White, Female,0,0,40, ?, <=50K.\n31, State-gov,268832, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K.\n42, Private,99651, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n39, Private,257597, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,42, United-States, <=50K.\n54, Self-emp-inc,195904, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,266497, 9th,5, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n63, Private,287972, Bachelors,13, Widowed, Other-service, Other-relative, Black, Female,0,0,20, United-States, <=50K.\n46, Private,200569, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n62, Local-gov,117292, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,8614,0,45, United-States, >50K.\n64, ?,223075, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n54, Private,175339, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n22, Self-emp-inc,333197, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,2205,45, United-States, <=50K.\n61, Private,53707, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n73, Private,39212, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n52, Private,228500, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,234663, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,60, United-States, <=50K.\n52, ?,88073, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,420040, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,126517, Some-college,10, Separated, Sales, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n31, Private,238002, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, Mexico, <=50K.\n53, State-gov,21412, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,147804, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n19, Private,222445, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n36, Private,126675, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n42, Private,301080, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n45, Private,382532, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n33, Private,232356, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n26, Private,167350, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3137,0,50, United-States, <=50K.\n28, ?,375703, HS-grad,9, Divorced, ?, Other-relative, Black, Female,0,1721,40, United-States, <=50K.\n33, Private,252708, 12th,8, Never-married, Sales, Other-relative, White, Female,0,0,40, Mexico, <=50K.\n33, Private,186824, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,176101, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,175121, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n17, Private,355850, 11th,7, Never-married, Transport-moving, Own-child, White, Male,0,1602,15, United-States, <=50K.\n45, Private,180931, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n45, State-gov,30219, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n41, Federal-gov,350387, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, India, >50K.\n24, Private,194247, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n57, Private,137653, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n48, Private,131762, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n31, Self-emp-not-inc,283587, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n33, Self-emp-inc,218164, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,55, United-States, >50K.\n41, Private,287581, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, United-States, >50K.\n41, Private,281725, 5th-6th,3, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Mexico, <=50K.\n63, Private,50120, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1573,25, United-States, <=50K.\n39, Private,156667, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,18, United-States, <=50K.\n28, Private,566066, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,45, United-States, <=50K.\n42, Private,121352, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, ?, >50K.\n18, Private,260977, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n22, Private,90860, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n42, Private,218302, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n47, Private,170142, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Local-gov,171889, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Female,0,0,43, United-States, <=50K.\n34, Private,193172, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n18, Private,164134, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,10, United-States, <=50K.\n66, Private,204283, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n51, ?,81169, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,38, United-States, <=50K.\n39, Private,92143, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,55, United-States, >50K.\n35, Private,181099, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n56, State-gov,102791, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n46, Local-gov,364548, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,42, United-States, >50K.\n21, Self-emp-inc,153516, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n58, Self-emp-not-inc,189528, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,84, United-States, <=50K.\n66, Local-gov,154171, Some-college,10, Widowed, Machine-op-inspct, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n25, Private,90752, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n57, Private,278763, Assoc-voc,11, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,47, United-States, <=50K.\n28, Private,253581, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,59660, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K.\n57, Self-emp-not-inc,170988, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n18, ?,160984, 11th,7, Never-married, ?, Own-child, White, Female,0,0,6, United-States, <=50K.\n24, Private,493732, 1st-4th,2, Never-married, Farming-fishing, Own-child, White, Female,0,0,40, Mexico, <=50K.\n36, Private,325802, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Private,196344, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Guatemala, <=50K.\n32, State-gov,316589, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n35, Self-emp-inc,365739, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n40, Private,309990, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Private,241852, 12th,8, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n41, Private,184105, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n50, Private,134680, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,274545, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n36, Private,207853, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,65, United-States, >50K.\n25, Private,284061, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n62, Private,186446, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,43, United-States, <=50K.\n22, Private,255575, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n52, Federal-gov,302661, Assoc-acdm,12, Widowed, Exec-managerial, Unmarried, White, Male,13550,0,40, United-States, >50K.\n52, Private,148509, 10th,6, Married-spouse-absent, Prof-specialty, Other-relative, Asian-Pac-Islander, Male,0,0,45, ?, <=50K.\n48, Private,211239, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,60, United-States, >50K.\n70, Private,50468, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,3175,15, United-States, <=50K.\n41, Private,316820, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K.\n21, Private,145964, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,60, United-States, >50K.\n39, Private,185084, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K.\n29, Private,183111, Assoc-voc,11, Never-married, Transport-moving, Own-child, White, Male,0,0,60, United-States, <=50K.\n28, Private,63042, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K.\n31, Private,339738, HS-grad,9, Married-civ-spouse, Transport-moving, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n23, Private,273049, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K.\n54, State-gov,239256, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n73, Self-emp-not-inc,110102, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Male,0,1668,77, United-States, <=50K.\n29, State-gov,165764, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,35, United-States, <=50K.\n22, Private,152744, Some-college,10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,10, United-States, <=50K.\n57, Local-gov,212303, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n41, Self-emp-not-inc,118544, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K.\n39, Private,269548, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,70, Mexico, <=50K.\n25, State-gov,319303, Some-college,10, Divorced, Other-service, Unmarried, White, Male,0,2472,40, United-States, >50K.\n74, Without-pay,216001, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K.\n45, Private,205816, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K.\n18, Private,427437, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K.\n24, Private,198259, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, Private,54314, 9th,5, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n32, Private,195744, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Local-gov,294547, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n50, Private,77521, 11th,7, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, Private,288158, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,125010, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K.\n32, Private,80945, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Nicaragua, >50K.\n21, Private,33016, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,25, United-States, <=50K.\n42, Private,388725, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K.\n37, Local-gov,347136, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K.\n53, Self-emp-inc,158294, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,99999,0,75, United-States, >50K.\n34, Private,362787, 10th,6, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n29, Private,39388, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n55, Private,322691, Masters,14, Widowed, Exec-managerial, Own-child, White, Male,0,0,62, United-States, >50K.\n29, Private,31659, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,2202,0,45, United-States, <=50K.\n70, Private,176940, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n26, Local-gov,189027, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,98719, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n58, Private,172238, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K.\n23, ?,170456, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,5, United-States, <=50K.\n27, Private,129009, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n17, Private,247580, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,18, United-States, <=50K.\n29, Private,204516, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,52, United-States, <=50K.\n26, Private,192652, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n31, Private,336543, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,45, United-States, >50K.\n29, ?,143938, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n22, Private,272591, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n28, Local-gov,312372, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n28, Local-gov,172270, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n20, Private,342414, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,24, United-States, <=50K.\n58, Private,123886, HS-grad,9, Never-married, Sales, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n23, Private,398130, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,96, United-States, <=50K.\n34, Private,142989, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,331539, HS-grad,9, Never-married, Craft-repair, Not-in-family, Other, Male,0,0,40, United-States, <=50K.\n19, Private,225156, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n18, ?,311863, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Local-gov,170682, 11th,7, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,32, United-States, <=50K.\n21, Private,96178, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n20, ?,37932, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n49, Private,198126, 7th-8th,4, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,344275, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, ?, >50K.\n37, Private,112497, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n36, Private,178487, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,1669,40, United-States, <=50K.\n44, Private,55395, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Local-gov,131239, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,104772, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3908,0,40, United-States, <=50K.\n53, Private,427320, Bachelors,13, Divorced, Other-service, Not-in-family, Black, Male,3325,0,40, United-States, <=50K.\n34, ?,73296, 11th,7, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n24, Private,216853, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,37, United-States, <=50K.\n40, Private,259757, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n47, Private,200734, HS-grad,9, Separated, Priv-house-serv, Not-in-family, Black, Female,0,0,50, Nicaragua, <=50K.\n19, ?,87515, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,44, Germany, <=50K.\n18, Private,161245, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,8, United-States, <=50K.\n32, Private,262024, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,38, United-States, <=50K.\n21, Private,287681, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K.\n27, Private,303601, 12th,8, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n58, ?,365410, Some-college,10, Separated, ?, Other-relative, White, Female,0,0,99, United-States, <=50K.\n29, Self-emp-not-inc,394356, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,263150, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K.\n45, State-gov,86618, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K.\n43, Private,120277, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,45, United-States, <=50K.\n63, Federal-gov,90393, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K.\n26, Self-emp-inc,79078, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n42, State-gov,197344, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,120998, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n36, Private,37522, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K.\n44, Private,96321, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,217302, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n69, Private,137109, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n40, Private,227823, Assoc-acdm,12, Divorced, Adm-clerical, Own-child, White, Female,0,0,70, United-States, <=50K.\n37, Private,22149, HS-grad,9, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male,0,0,18, United-States, <=50K.\n39, Private,176900, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n57, Private,154368, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n28, Private,183445, HS-grad,9, Separated, Priv-house-serv, Own-child, White, Female,0,0,40, Guatemala, <=50K.\n23, Private,193537, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K.\n20, Private,313873, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K.\n46, Private,34186, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n44, State-gov,271807, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,16, United-States, <=50K.\n67, ?,46449, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n31, Private,128065, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Private,176486, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n54, Private,191072, Bachelors,13, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n28, Private,34452, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n30, State-gov,123253, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n42, Private,113461, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n17, Private,116267, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,15, Columbia, <=50K.\n32, Private,30433, Bachelors,13, Never-married, Tech-support, Other-relative, White, Female,0,0,72, United-States, <=50K.\n25, Private,198512, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n49, Self-emp-inc,131826, Prof-school,15, Widowed, Prof-specialty, Unmarried, White, Male,99999,0,50, United-States, >50K.\n35, Private,129764, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n32, Private,49398, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K.\n17, Local-gov,292285, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K.\n61, Federal-gov,91726, Masters,14, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K.\n56, Private,178282, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n50, Private,227458, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Male,0,0,51, United-States, <=50K.\n32, Private,183470, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,42, United-States, <=50K.\n41, Private,275446, Some-college,10, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n41, Private,328013, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,65, United-States, <=50K.\n19, Private,382688, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n18, Private,122988, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K.\n25, Private,175537, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n21, Private,256278, HS-grad,9, Never-married, Other-service, Other-relative, Other, Female,0,0,35, El-Salvador, <=50K.\n34, Private,161153, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,48189, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K.\n36, Private,186531, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n19, Private,96866, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K.\n35, Private,117555, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n18, ?,98549, HS-grad,9, Never-married, ?, Own-child, White, Female,0,1602,35, United-States, <=50K.\n39, Private,101782, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,234753, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,34, United-States, >50K.\n59, Private,59469, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n28, Private,614113, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n47, Private,203505, Doctorate,16, Never-married, Prof-specialty, Own-child, White, Female,0,0,23, United-States, <=50K.\n27, Private,128365, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n56, Private,36990, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,52, United-States, >50K.\n18, Private,303240, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n76, ?,217043, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K.\n56, Private,176079, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,15024,0,24, United-States, >50K.\n40, Self-emp-inc,266047, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,65, United-States, >50K.\n39, Self-emp-inc,285890, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, Haiti, >50K.\n24, Private,70261, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, Private,214236, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,143385, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n55, Private,150507, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,292264, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-inc,110861, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n32, Private,225064, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, Private,154120, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Trinadad&Tobago, <=50K.\n17, Private,34465, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,32, United-States, <=50K.\n29, Private,89598, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,2057,35, United-States, <=50K.\n54, Private,183668, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,189382, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,1504,40, United-States, <=50K.\n67, ?,165103, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,2174,50, United-States, >50K.\n48, Private,44216, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n17, Private,150471, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n41, Private,32627, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-not-inc,153109, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,60, United-States, <=50K.\n29, Private,352451, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n43, Private,176716, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K.\n46, Federal-gov,171850, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n42, Private,260496, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K.\n36, Private,154410, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K.\n31, Self-emp-not-inc,23500, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,75, United-States, <=50K.\n60, Private,178312, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,1902,70, United-States, >50K.\n50, Private,62593, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n30, Private,123291, Some-college,10, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,313817, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n57, State-gov,229270, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0,1579,37, United-States, <=50K.\n43, Private,212027, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,38, United-States, <=50K.\n58, Private,259532, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n26, Local-gov,213258, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,316337, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n38, Private,179123, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K.\n26, Private,191765, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Scotland, <=50K.\n59, Self-emp-inc,188877, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,55395, Some-college,10, Married-spouse-absent, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n21, Private,161051, Some-college,10, Never-married, Tech-support, Own-child, Black, Female,0,0,4, United-States, <=50K.\n30, Private,241844, HS-grad,9, Separated, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n36, Private,232142, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,80, United-States, <=50K.\n43, Private,311534, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K.\n68, Self-emp-not-inc,128986, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K.\n18, Private,67019, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n23, Private,208826, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K.\n43, Private,256813, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n44, Private,160919, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K.\n43, Private,107584, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n59, Self-emp-inc,159472, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,408318, 7th-8th,4, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,25, Mexico, <=50K.\n61, Private,194956, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n52, State-gov,21764, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n37, Private,277347, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n57, Private,104455, Some-college,10, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Female,0,0,90, United-States, >50K.\n30, Private,117584, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,20, United-States, <=50K.\n38, Private,131288, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n46, Private,99014, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n22, Private,141003, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n64, Private,344014, Some-college,10, Divorced, Tech-support, Unmarried, Black, Female,0,1741,40, United-States, <=50K.\n45, Private,175600, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n31, Local-gov,240504, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,1902,50, United-States, >50K.\n20, Private,174436, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K.\n29, Private,194869, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n23, Private,164901, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,20, United-States, <=50K.\n62, Private,72886, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,130126, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K.\n42, Self-emp-inc,196514, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,103651, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n25, Private,261419, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K.\n61, Private,206339, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Private,445365, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,227466, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, <=50K.\n49, Private,96854, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n21, Private,163595, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n22, State-gov,181096, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Male,0,0,20, United-States, <=50K.\n24, Private,95984, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n37, Private,472517, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,4, United-States, <=50K.\n46, Local-gov,60751, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,107302, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,106501, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K.\n23, Private,32732, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Self-emp-inc,174789, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n39, Private,301628, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n29, Private,27436, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n24, Private,93977, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Private,139127, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,258231, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Self-emp-not-inc,136309, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n50, Private,266433, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n59, Private,140363, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K.\n58, Private,179715, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,47, United-States, >50K.\n55, Private,204816, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n58, Private,35520, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7688,0,40, United-States, >50K.\n46, Private,101320, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,42, United-States, >50K.\n40, Private,210857, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K.\n40, Self-emp-not-inc,60949, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n57, Local-gov,139095, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n46, Private,233493, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1579,40, United-States, <=50K.\n36, Private,176249, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1590,40, United-States, <=50K.\n29, Private,187746, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n32, Private,49593, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n24, Self-emp-not-inc,240160, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n63, Private,76286, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,40, India, >50K.\n23, Private,65225, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K.\n36, Private,225330, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n31, Private,101562, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, >50K.\n52, Self-emp-not-inc,27539, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,7688,0,72, United-States, >50K.\n60, Local-gov,227311, 10th,6, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, ?,51260, HS-grad,9, Never-married, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n31, Private,256609, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n35, Local-gov,123939, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Federal-gov,203182, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,2174,0,40, United-States, <=50K.\n38, Private,111128, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Private,112451, HS-grad,9, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n44, ?,177461, Some-college,10, Divorced, ?, Unmarried, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K.\n24, Private,332155, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,20, United-States, <=50K.\n42, Local-gov,178983, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,37, United-States, <=50K.\n54, Private,199392, 5th-6th,3, Divorced, Machine-op-inspct, Other-relative, White, Female,0,0,40, Nicaragua, <=50K.\n19, Private,311015, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,126038, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n21, Private,402124, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,198660, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n26, ?,228457, 11th,7, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Self-emp-inc,223267, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,78, United-States, <=50K.\n22, Self-emp-not-inc,249046, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n45, Self-emp-not-inc,127948, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,154785, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, China, <=50K.\n28, Private,248404, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n31, Private,137978, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,144778, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,133250, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Private,402771, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,23, United-States, <=50K.\n47, ?,97075, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n21, Private,116234, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n25, Local-gov,262818, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, Guatemala, <=50K.\n47, Private,138342, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n50, Private,123374, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n23, Private,202373, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,20, United-States, <=50K.\n54, Self-emp-not-inc,180522, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K.\n24, Local-gov,140647, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,36, United-States, <=50K.\n50, Private,136898, Assoc-voc,11, Widowed, Exec-managerial, Unmarried, White, Female,0,0,55, ?, <=50K.\n29, Private,140927, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,114055, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, White, Female,3325,0,40, United-States, <=50K.\n46, Private,114222, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-inc,51089, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n46, Private,37353, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n36, Local-gov,379672, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,60, United-States, <=50K.\n64, Private,130727, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,2174,0,37, United-States, <=50K.\n51, Private,172046, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n57, Private,228764, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n21, Private,376393, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K.\n53, Private,185283, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n61, Self-emp-not-inc,195789, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K.\n50, Private,243115, HS-grad,9, Married-spouse-absent, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n74, Private,147558, Some-college,10, Divorced, Sales, Not-in-family, White, Female,7262,0,30, United-States, >50K.\n22, State-gov,62865, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n25, Self-emp-not-inc,275197, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n63, Self-emp-not-inc,124015, Masters,14, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n38, Self-emp-inc,282951, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,105253, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K.\n31, Private,119164, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Male,0,0,40, ?, <=50K.\n35, Self-emp-not-inc,263081, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,84, United-States, <=50K.\n54, Private,96062, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,44942, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1848,48, United-States, >50K.\n37, Federal-gov,127879, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K.\n37, Private,109633, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,109404, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n56, Private,126677, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K.\n52, Private,101113, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,66, United-States, >50K.\n40, Private,117523, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, Columbia, <=50K.\n29, Private,183523, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K.\n46, Self-emp-not-inc,311231, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,459556, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,50, United-States, <=50K.\n37, Private,95551, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n36, Private,126675, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n32, Private,200246, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n53, Private,108435, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Italy, <=50K.\n18, Private,141332, 11th,7, Never-married, Sales, Own-child, Black, Male,0,0,8, United-States, <=50K.\n48, Private,117310, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K.\n26, Private,182380, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n64, ?,226878, Masters,14, Married-civ-spouse, ?, Wife, Black, Female,9386,0,50, Jamaica, >50K.\n49, Private,123807, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n41, Private,109539, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Local-gov,38455, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n56, Private,294209, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n33, Private,130215, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,35, ?, <=50K.\n29, Private,285294, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n29, Private,168221, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,288907, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,4787,0,40, United-States, >50K.\n26, Private,391349, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n32, Private,170276, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,46, United-States, >50K.\n33, Private,117963, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,55, United-States, <=50K.\n54, Local-gov,68015, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n20, ?,285208, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n33, Private,181091, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,16, United-States, <=50K.\n44, Self-emp-not-inc,53956, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,57, United-States, <=50K.\n47, Federal-gov,198223, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n90, Self-emp-not-inc,83601, Prof-school,15, Widowed, Prof-specialty, Not-in-family, White, Male,1086,0,60, United-States, <=50K.\n26, Self-emp-not-inc,201579, 5th-6th,3, Never-married, Prof-specialty, Unmarried, White, Male,0,0,14, Mexico, <=50K.\n44, Private,137367, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Thailand, <=50K.\n33, Private,227325, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Male,0,0,60, Scotland, <=50K.\n28, Private,129814, Some-college,10, Separated, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K.\n26, Private,193050, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,18, United-States, <=50K.\n33, Private,204557, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,165743, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Self-emp-not-inc,48935, Some-college,10, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,30, United-States, <=50K.\n70, Private,177906, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,6514,0,40, United-States, >50K.\n18, Private,93985, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n20, Private,148351, 7th-8th,4, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, ?, <=50K.\n65, Local-gov,172646, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,145409, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K.\n48, Private,548568, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n47, Private,117849, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,320425, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K.\n25, Private,158734, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n59, Private,168416, HS-grad,9, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female,0,0,36, Poland, <=50K.\n63, Self-emp-not-inc,33487, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, >50K.\n34, Private,205072, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n44, Private,210525, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,32948, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n48, Self-emp-inc,196689, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,87032, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Self-emp-inc,325159, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,52131, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,266439, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,15, United-States, <=50K.\n22, Private,61850, Masters,14, Never-married, Sales, Other-relative, White, Female,0,0,21, United-States, <=50K.\n19, Private,163015, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,20, United-States, <=50K.\n25, Private,225135, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Self-emp-inc,109001, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,60, United-States, <=50K.\n33, Private,45796, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,214987, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n19, Private,311974, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K.\n48, Private,77404, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n43, Private,153132, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n42, Self-emp-not-inc,64631, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n63, Private,151364, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,25, United-States, <=50K.\n25, Private,87487, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,50, United-States, <=50K.\n41, Self-emp-not-inc,200479, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K.\n66, Private,30740, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n59, Private,153484, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n29, Local-gov,214385, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,35, United-States, <=50K.\n29, ?,565769, Preschool,1, Never-married, ?, Not-in-family, Black, Male,0,0,40, South, <=50K.\n44, Self-emp-not-inc,92162, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,210945, 11th,7, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n41, Private,63105, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, >50K.\n44, Private,185602, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n37, Self-emp-inc,329980, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K.\n70, Local-gov,111712, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,22, United-States, <=50K.\n25, Local-gov,48317, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n42, Private,84661, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K.\n47, Private,121622, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n21, Private,37514, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K.\n72, Private,174993, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n56, Private,159472, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Local-gov,195635, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Private,108282, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n63, Private,55946, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,123306, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,284250, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n60, Private,113443, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n23, Private,309178, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,69236, Some-college,10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K.\n34, Local-gov,182926, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,126675, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,187693, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n56, Private,41100, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n53, State-gov,261839, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,97197, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n29, Private,260645, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n56, Private,116878, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Portugal, >50K.\n49, ?,227690, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,199411, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,194813, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n47, Private,177087, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,2444,50, United-States, >50K.\n44, Self-emp-not-inc,242434, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,27828,0,60, United-States, >50K.\n27, Private,399123, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,1719,40, United-States, <=50K.\n47, Private,216999, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n47, Private,47270, 12th,8, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n42, Federal-gov,122215, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n26, Private,37898, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n38, Private,61343, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,32533, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K.\n30, Private,296897, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n29, Private,201101, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n41, Private,155293, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n40, Private,101593, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, State-gov,104908, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n54, Self-emp-not-inc,139023, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,429832, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n32, Private,352542, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n64, Private,29559, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n61, Local-gov,205711, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, >50K.\n49, Private,160706, 11th,7, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n59, Federal-gov,101626, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n29, Private,245226, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n39, Private,118286, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K.\n22, Private,187703, Assoc-voc,11, Never-married, Other-service, Other-relative, White, Male,0,0,40, Guatemala, <=50K.\n49, Private,289707, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, <=50K.\n32, Private,68330, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, <=50K.\n33, Private,118786, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1590,40, United-States, <=50K.\n45, Private,203785, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,32732, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K.\n54, Local-gov,204567, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,131808, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7688,0,80, United-States, >50K.\n22, Private,33272, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n55, Private,117477, 11th,7, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,40, Jamaica, <=50K.\n36, Self-emp-not-inc,240191, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,41310,0,90, South, <=50K.\n38, Private,93287, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,127651, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n57, Private,222477, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,8, United-States, >50K.\n23, Private,345734, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n30, Private,111567, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,108293, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K.\n34, Private,424988, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n38, Local-gov,94529, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,3103,0,50, United-States, >50K.\n42, Private,163322, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n52, Local-gov,181132, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1887,40, United-States, >50K.\n32, Private,140092, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n29, Private,131913, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n74, Private,175945, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,28, United-States, <=50K.\n48, Private,247053, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Self-emp-not-inc,226203, 12th,8, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K.\n23, Private,205865, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2179,60, United-States, <=50K.\n22, Local-gov,200109, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K.\n53, Private,175029, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n20, Private,55465, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,36989, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, >50K.\n23, Private,255685, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,25, United-States, <=50K.\n30, Private,180765, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K.\n34, Self-emp-not-inc,180607, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K.\n39, Private,48063, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,32, United-States, <=50K.\n37, State-gov,159491, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n28, Private,167789, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n23, Private,124971, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, State-gov,61710, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n32, Private,127895, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K.\n23, Private,390348, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,44, Japan, <=50K.\n25, Private,205337, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n52, Private,260954, 10th,6, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n30, ?,331237, HS-grad,9, Separated, ?, Own-child, Black, Female,0,0,20, United-States, <=50K.\n22, Private,177526, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,2907,0,30, United-States, <=50K.\n27, Private,113882, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,4508,0,40, United-States, <=50K.\n32, Private,29144, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n39, Local-gov,124685, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, <=50K.\n18, Private,88440, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,36, United-States, <=50K.\n28, Private,265074, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Local-gov,306985, Masters,14, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,2415,50, United-States, >50K.\n72, Private,181494, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K.\n76, Private,138403, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K.\n35, Private,216473, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n36, Private,143123, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,40, United-States, >50K.\n19, Private,132717, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K.\n23, State-gov,389792, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,30, United-States, <=50K.\n36, Private,359001, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Private,260052, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,15020,0,40, United-States, >50K.\n20, Private,63633, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K.\n64, Self-emp-not-inc,234192, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K.\n53, Local-gov,237523, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n33, Self-emp-not-inc,183778, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,205916, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n31, Private,131633, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Private,33121, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K.\n38, Federal-gov,32899, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,152171, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n46, Local-gov,127441, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n46, Private,23074, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, England, <=50K.\n42, Private,91585, Some-college,10, Widowed, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n18, Private,83451, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n23, Local-gov,219122, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n81, Private,176500, 12th,8, Widowed, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n40, ?,246862, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n35, Private,38468, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,21, United-States, <=50K.\n24, ?,35633, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,11, ?, <=50K.\n19, Private,194608, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K.\n30, Private,269723, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n24, Private,165054, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n24, Private,127537, 9th,5, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n24, Private,326931, 9th,5, Never-married, Transport-moving, Unmarried, Other, Male,0,0,40, El-Salvador, <=50K.\n24, Private,307133, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, ?, <=50K.\n37, Private,371576, Some-college,10, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n50, Private,160400, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,426350, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K.\n26, State-gov,121789, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n18, Private,218183, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n24, Private,91189, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,232190, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K.\n38, Self-emp-not-inc,233033, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n66, Self-emp-inc,74263, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,86, United-States, >50K.\n33, Private,205950, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,213383, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, Private,345577, Some-college,10, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,26, United-States, <=50K.\n20, ?,322144, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,158825, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,14344,0,40, United-States, >50K.\n64, Self-emp-inc,51286, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,6418,0,65, United-States, >50K.\n36, Private,82488, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n31, Federal-gov,40909, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, <=50K.\n23, Private,114939, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K.\n61, Private,221534, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Private,149455, Some-college,10, Separated, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K.\n68, ?,353524, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,60, United-States, <=50K.\n30, Private,328734, 10th,6, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n21, Private,112906, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,44, United-States, <=50K.\n27, Private,155038, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n26, Private,100125, Assoc-acdm,12, Divorced, Transport-moving, Unmarried, White, Female,0,0,30, United-States, <=50K.\n26, State-gov,177048, Some-college,10, Married-civ-spouse, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K.\n43, Private,72338, Masters,14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n20, Private,254547, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,35, Outlying-US(Guam-USVI-etc), <=50K.\n20, Local-gov,186213, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,38, United-States, <=50K.\n39, Private,270557, Masters,14, Divorced, Other-service, Not-in-family, White, Female,0,0,50, United-States, >50K.\n48, Private,41411, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n36, Private,116445, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n34, Self-emp-not-inc,247540, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,1974,30, United-States, <=50K.\n37, Private,358753, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K.\n37, Self-emp-not-inc,156897, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,1564,55, United-States, >50K.\n44, Self-emp-not-inc,360879, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1902,80, United-States, >50K.\n51, Private,256051, 11th,7, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,1628,40, United-States, <=50K.\n34, Private,179877, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n29, Private,266583, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,2829,0,38, United-States, <=50K.\n38, Private,187711, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, >50K.\n34, Local-gov,206707, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K.\n63, Local-gov,80655, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Federal-gov,409464, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n62, Private,235997, 12th,8, Widowed, Adm-clerical, Unmarried, White, Female,0,0,37, Mexico, <=50K.\n20, Private,59948, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,18, United-States, <=50K.\n30, Private,323833, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n53, Private,290290, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,1590,50, United-States, <=50K.\n20, ?,291746, 12th,8, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K.\n77, Private,189173, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K.\n50, State-gov,392668, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,132529, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,68080, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, ?, >50K.\n17, Private,194717, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K.\n43, Private,307767, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,90051, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,3456,0,44, Canada, <=50K.\n77, State-gov,267799, Doctorate,16, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,4, United-States, >50K.\n49, Private,81535, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, >50K.\n26, Self-emp-not-inc,334267, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Self-emp-not-inc,55912, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n36, Private,172706, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,240467, Some-college,10, Separated, Transport-moving, Not-in-family, Black, Female,0,0,40, United-States, >50K.\n23, Private,186006, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,37, United-States, <=50K.\n38, Private,65738, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,192878, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n27, State-gov,413870, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, United-States, <=50K.\n45, Private,176341, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K.\n66, ?,28367, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,117210, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,36, United-States, <=50K.\n21, ?,231286, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,25, Jamaica, <=50K.\n42, Private,188465, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n31, Local-gov,253456, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n54, Private,140592, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n46, Private,171335, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, State-gov,73928, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K.\n24, Private,161415, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,35, United-States, <=50K.\n24, Private,395297, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,30, Japan, <=50K.\n40, State-gov,385357, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K.\n45, State-gov,160599, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,222450, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n61, ?,38603, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n50, Private,178946, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n36, Private,106471, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,341643, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,97952, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K.\n31, Private,111567, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1848,50, United-States, >50K.\n43, Local-gov,201764, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n30, Private,153549, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n44, Local-gov,264016, Bachelors,13, Married-civ-spouse, Prof-specialty, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n42, Private,194636, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n64, State-gov,184271, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n23, Local-gov,49296, Some-college,10, Married-spouse-absent, Prof-specialty, Own-child, Black, Male,0,0,40, United-States, <=50K.\n60, Private,96099, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,4101,0,60, United-States, <=50K.\n18, Self-emp-not-inc,304699, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,40, England, <=50K.\n24, Private,267181, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n40, Private,154076, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n17, Private,98209, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K.\n33, Private,92003, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n43, Private,103759, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,269681, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Female,0,0,35, United-States, <=50K.\n25, Private,789600, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n25, Private,152165, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Private,260560, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n40, Self-emp-inc,214781, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,65, United-States, >50K.\n64, Private,207188, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,246258, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Private,101563, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,7430,0,45, United-States, >50K.\n60, Private,69955, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,40, United-States, <=50K.\n25, Private,124111, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,36, ?, <=50K.\n38, Private,237091, Some-college,10, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,36, Peru, <=50K.\n26, Private,318644, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K.\n19, Private,138917, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K.\n31, Private,97405, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,196674, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n25, Private,405281, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n49, Private,186256, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,120277, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n33, Private,161035, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,49, United-States, <=50K.\n34, Private,176244, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Female,0,0,40, Mexico, <=50K.\n54, Private,32454, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n39, Private,346478, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,196158, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n42, Federal-gov,208470, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,215616, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n23, Private,275357, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n23, Self-emp-inc,304871, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n54, Private,99185, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K.\n23, Private,115085, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n58, Private,82050, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n46, Private,123681, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,193152, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n53, Private,309466, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n77, Local-gov,100883, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,8, Canada, <=50K.\n37, Private,32528, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n18, Private,245199, 10th,6, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, Private,72375, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K.\n34, Private,117963, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K.\n45, Private,160440, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n64, Federal-gov,113570, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K.\n58, ?,191830, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,55, United-States, <=50K.\n24, Private,232328, 9th,5, Divorced, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n37, Private,92028, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n48, Private,138342, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,55, United-States, >50K.\n42, Private,197810, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,102142, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,104223, Bachelors,13, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n34, Private,132835, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n31, Self-emp-not-inc,109195, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n33, Private,203463, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Local-gov,33114, 11th,7, Divorced, Handlers-cleaners, Unmarried, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K.\n27, Private,187450, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n36, Private,104213, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n31, Private,257849, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,50490, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,85508, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K.\n54, Self-emp-not-inc,60449, Bachelors,13, Widowed, Sales, Unmarried, White, Male,0,0,60, United-States, <=50K.\n27, Local-gov,131310, Some-college,10, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n65, Self-emp-not-inc,158177, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,10605,0,44, United-States, >50K.\n65, Private,115922, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,24, United-States, <=50K.\n21, Private,403471, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,48, United-States, <=50K.\n22, Private,176131, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K.\n32, Private,149531, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Private,262243, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K.\n32, Private,64658, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,127914, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n49, Self-emp-inc,182211, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,48520, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,43, United-States, <=50K.\n20, Private,403118, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,11, United-States, <=50K.\n55, Private,119344, HS-grad,9, Married-civ-spouse, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,334456, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,263110, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n31, Self-emp-not-inc,279015, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K.\n58, Private,195878, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K.\n34, Private,217652, 12th,8, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n65, Federal-gov,44807, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, >50K.\n48, Private,129777, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, ?,195568, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,15, ?, >50K.\n44, Private,227466, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K.\n26, Private,228457, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,247053, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,188669, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n45, Private,40666, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Italy, <=50K.\n57, ?,190514, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Local-gov,404661, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K.\n45, Self-emp-not-inc,39986, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1740,56, United-States, <=50K.\n43, Private,175133, Some-college,10, Divorced, Tech-support, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n62, Private,101375, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Private,256680, Assoc-acdm,12, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K.\n46, State-gov,136878, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n51, Private,106151, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, ?, >50K.\n38, ?,242221, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,38, United-States, <=50K.\n38, Private,101387, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,43, United-States, <=50K.\n51, Private,196828, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,38, United-States, >50K.\n20, ?,195075, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n22, Private,333910, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,22, United-States, <=50K.\n46, Self-emp-not-inc,103540, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n67, Self-emp-not-inc,36876, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,158651, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K.\n24, Private,196943, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,184583, Some-college,10, Divorced, Other-service, Unmarried, White, Male,0,0,59, United-States, <=50K.\n33, Private,244817, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,386726, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K.\n56, Self-emp-inc,373593, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, Italy, >50K.\n27, Private,206199, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n32, Private,93283, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, ?,103628, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,4, India, <=50K.\n21, Local-gov,391936, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K.\n31, Local-gov,168740, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K.\n42, Private,150568, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K.\n19, Private,201178, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n63, Private,75813, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K.\n34, Local-gov,398988, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,18, United-States, <=50K.\n38, Private,158363, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,81961, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n34, Private,170017, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n21, Private,348092, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, Haiti, <=50K.\n27, Private,54861, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,32, United-States, <=50K.\n63, Self-emp-not-inc,74991, HS-grad,9, Widowed, Farming-fishing, Unmarried, White, Male,0,0,60, United-States, <=50K.\n25, Private,106552, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K.\n51, Private,27539, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n50, Private,268913, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Iran, <=50K.\n63, Private,199888, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n53, Private,288216, Some-college,10, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Self-emp-inc,378036, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K.\n41, Private,127314, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K.\n32, Private,115963, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K.\n19, Private,332928, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,178510, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n29, Private,53147, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,37, United-States, <=50K.\n66, Private,115880, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3818,0,40, United-States, <=50K.\n57, Private,375502, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n49, Self-emp-not-inc,155659, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,122240, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,112305, Assoc-voc,11, Never-married, Other-service, Unmarried, White, Female,0,0,10, United-States, <=50K.\n46, Federal-gov,35136, 11th,7, Never-married, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n27, Private,215423, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,16, United-States, <=50K.\n24, Private,116358, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,2339,40, Philippines, <=50K.\n17, Private,171461, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,14, United-States, <=50K.\n32, Private,131584, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n40, Self-emp-inc,29520, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,65, United-States, <=50K.\n35, Local-gov,246463, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n22, Private,32616, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K.\n41, Private,144144, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n75, ?,222789, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,9, United-States, <=50K.\n22, Private,227594, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Local-gov,375606, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,180532, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n50, State-gov,54342, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,208798, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Local-gov,377401, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n36, Self-emp-not-inc,110861, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K.\n42, Private,144594, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,129345, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n28, Private,424340, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K.\n44, Private,187702, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n47, State-gov,293917, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n61, Private,160143, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K.\n50, Private,345450, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n54, State-gov,180881, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n18, Private,102690, 11th,7, Never-married, Machine-op-inspct, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n46, Private,265371, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,167333, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n50, Self-emp-inc,447144, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n32, Private,280077, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n48, Private,143920, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n40, Private,190507, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n34, Self-emp-not-inc,59469, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K.\n31, Private,74501, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n43, Self-emp-inc,215458, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,99999,0,45, United-States, >50K.\n33, Private,281685, Assoc-voc,11, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n62, Private,78273, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n44, Private,105475, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Puerto-Rico, <=50K.\n55, Private,174260, HS-grad,9, Widowed, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Self-emp-inc,149102, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Private,188331, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,15024,0,40, United-States, >50K.\n23, Private,864960, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n63, Private,154526, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,60783, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,186269, HS-grad,9, Never-married, Other-service, Own-child, White, Male,2907,0,35, United-States, <=50K.\n30, Private,398019, 1st-4th,2, Separated, Priv-house-serv, Other-relative, White, Female,0,0,30, Mexico, <=50K.\n50, Federal-gov,237503, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,93762, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,59916, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,203264, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,299119, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n29, Federal-gov,114072, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,46, United-States, >50K.\n18, ?,167875, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,16, United-States, <=50K.\n64, Private,130525, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n58, Private,71283, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,38, United-States, >50K.\n43, Local-gov,85440, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n27, Private,136077, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n40, Private,222434, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, Canada, >50K.\n25, Private,138111, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n27, Private,225746, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Male,0,0,35, United-States, <=50K.\n54, Private,240358, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, Jamaica, <=50K.\n25, Private,139863, 1st-4th,2, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n39, Private,278632, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,71046, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K.\n29, Private,312985, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2129,50, United-States, <=50K.\n49, Federal-gov,276309, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, ?,199116, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,2407,0,40, Dominican-Republic, <=50K.\n39, Private,52870, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K.\n51, State-gov,79324, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n50, Private,188882, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Federal-gov,72338, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n23, ?,234108, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n24, Private,113936, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n43, Private,182521, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,15020,0,35, United-States, >50K.\n60, Private,124198, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386,0,84, United-States, >50K.\n20, Private,228960, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n60, Self-emp-not-inc,176360, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n35, Private,178649, Bachelors,13, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,36, Philippines, <=50K.\n41, Private,338740, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n31, Private,205659, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n59, Private,258883, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,196638, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n43, Self-emp-not-inc,95246, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,5, United-States, >50K.\n20, ?,216672, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n25, Private,61956, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,4650,0,45, United-States, <=50K.\n33, Private,157216, Masters,14, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n68, ?,150250, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,1510,30, United-States, <=50K.\n37, Private,112838, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n31, State-gov,158688, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n31, State-gov,227864, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n31, Private,173858, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male,0,1902,40, China, <=50K.\n51, Private,30012, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,80, United-States, <=50K.\n20, ?,50163, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n50, State-gov,143822, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K.\n19, ?,497414, 7th-8th,4, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,35, Mexico, <=50K.\n30, Private,235109, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, Private,339196, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n61, Private,181028, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,18, United-States, <=50K.\n43, Private,59460, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n21, Private,97212, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,2001,25, United-States, <=50K.\n32, Private,103642, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,70447, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,60, United-States, <=50K.\n27, Private,321456, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,10, Germany, <=50K.\n23, Private,126613, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K.\n52, Self-emp-not-inc,149508, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, >50K.\n38, Private,332154, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, United-States, >50K.\n18, ?,471876, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n25, Private,140669, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,107164, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n39, Private,225707, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Cuba, <=50K.\n64, Self-emp-inc,56588, Some-college,10, Widowed, Exec-managerial, Unmarried, White, Female,0,0,70, United-States, <=50K.\n31, Self-emp-inc,183125, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,99, United-States, >50K.\n56, Private,177368, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,45, United-States, >50K.\n40, Private,218653, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,191137, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n50, Private,181585, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n23, Private,142566, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,220821, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K.\n37, Private,280966, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,153155, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, United-States, >50K.\n29, Private,195446, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Private,77884, 1st-4th,2, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n41, Private,99373, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,118729, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K.\n25, Private,108414, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,198366, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,20, United-States, <=50K.\n42, Private,238384, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,36, United-States, <=50K.\n27, Private,214695, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n33, Private,120420, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,186934, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n29, Self-emp-not-inc,100368, 9th,5, Widowed, Other-service, Unmarried, White, Female,0,0,27, United-States, <=50K.\n49, Private,723746, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K.\n67, ?,427422, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,2414,0,16, United-States, <=50K.\n44, Private,54271, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,189680, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, >50K.\n49, Private,230796, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, State-gov,195843, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K.\n41, Private,109912, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,15024,0,50, England, >50K.\n19, Private,42069, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,335950, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,70, United-States, <=50K.\n45, Private,163174, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,40, United-States, >50K.\n24, Private,81145, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n67, Local-gov,312052, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K.\n28, Private,209934, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K.\n22, ?,269221, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n57, Private,322691, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n68, Private,99849, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,28, United-States, <=50K.\n23, ?,213004, Some-college,10, Never-married, ?, Own-child, White, Female,0,1719,30, United-States, <=50K.\n49, Private,182313, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,201505, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n61, Self-emp-not-inc,227119, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,202395, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,170583, 11th,7, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n58, State-gov,21838, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K.\n50, Self-emp-inc,68898, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K.\n34, Private,226702, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n59, ?,168079, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,35, United-States, <=50K.\n42, Self-emp-inc,173628, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n20, Private,164529, 11th,7, Never-married, Farming-fishing, Own-child, Black, Male,0,0,40, United-States, <=50K.\n27, Self-emp-not-inc,301514, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K.\n50, Private,194580, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n63, Private,165611, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K.\n32, Private,96480, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, State-gov,224700, Assoc-voc,11, Divorced, Protective-serv, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n63, Self-emp-not-inc,141962, 10th,6, Divorced, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n22, Private,377815, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K.\n24, Private,271379, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n40, Private,421837, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,77953, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n30, Self-emp-not-inc,345122, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Male,0,0,50, United-States, <=50K.\n38, ?,172855, 11th,7, Divorced, ?, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n34, Private,87131, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Guatemala, <=50K.\n21, Private,328906, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n56, Private,21626, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,43, United-States, <=50K.\n38, Private,143909, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n32, Private,178835, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n45, Private,94809, Some-college,10, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n64, Local-gov,172768, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Self-emp-inc,204742, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n32, Self-emp-inc,144949, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K.\n26, Private,195562, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,56482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,30, United-States, >50K.\n55, Federal-gov,36314, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,72, United-States, <=50K.\n51, Self-emp-not-inc,329980, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,8, United-States, >50K.\n62, Local-gov,103344, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Local-gov,169708, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n54, Local-gov,249949, Some-college,10, Divorced, Exec-managerial, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,186934, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,692831, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,48, United-States, <=50K.\n17, Private,154078, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K.\n22, Private,91733, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n67, Self-emp-inc,325373, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K.\n43, Self-emp-not-inc,160369, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n57, Local-gov,196126, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,120053, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,35, United-States, <=50K.\n19, Private,204337, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n34, Private,128016, HS-grad,9, Never-married, Tech-support, Other-relative, White, Female,0,0,40, United-States, <=50K.\n50, ?,199301, Assoc-voc,11, Never-married, ?, Unmarried, Black, Female,0,0,16, United-States, <=50K.\n33, Private,49027, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Private,192022, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n40, Private,147099, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,5, United-States, <=50K.\n32, Private,334744, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n25, Private,207621, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n29, Private,194458, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-inc,184245, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Mexico, >50K.\n34, Private,242704, HS-grad,9, Never-married, Tech-support, Own-child, Black, Male,0,0,40, United-States, <=50K.\n21, ?,278130, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, Private,251073, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,153209, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,360879, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,115066, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,409172, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n63, Private,223637, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,50, United-States, <=50K.\n36, Private,161141, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n34, Private,535869, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,30, United-States, <=50K.\n60, Federal-gov,49921, 9th,5, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n23, Private,335067, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n47, Self-emp-inc,209460, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,40, United-States, >50K.\n20, Private,355236, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,16, United-States, <=50K.\n50, Private,240374, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n29, Private,221428, 12th,8, Married-civ-spouse, Sales, Own-child, Other, Male,0,0,35, United-States, <=50K.\n37, Private,356250, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K.\n20, Private,356347, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n50, Private,245356, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n31, Self-emp-not-inc,247088, HS-grad,9, Separated, Craft-repair, Own-child, Black, Male,0,0,50, United-States, <=50K.\n27, ?,200381, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Private,300333, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Dominican-Republic, >50K.\n38, Private,109594, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,70, United-States, >50K.\n24, Local-gov,221480, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n29, Private,433624, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,179681, Assoc-voc,11, Married-spouse-absent, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K.\n21, Local-gov,136208, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,48, United-States, <=50K.\n64, Private,159715, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,10566,0,40, United-States, <=50K.\n33, Private,164683, HS-grad,9, Never-married, Transport-moving, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Private,152307, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,256908, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,227943, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n75, ?,33673, Masters,14, Widowed, ?, Not-in-family, Amer-Indian-Eskimo, Male,0,0,26, United-States, <=50K.\n26, Private,116991, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n64, Private,96076, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n32, Self-emp-inc,201314, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n17, Private,153021, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n34, State-gov,334422, Some-college,10, Divorced, Protective-serv, Unmarried, Black, Male,0,0,47, United-States, <=50K.\n37, Private,160192, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n72, ?,51216, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,14, United-States, <=50K.\n47, Private,323212, Some-college,10, Separated, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n45, Self-emp-inc,179030, Bachelors,13, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,35, South, <=50K.\n23, Private,129345, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n36, Private,31023, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n62, Self-emp-inc,164616, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K.\n34, Federal-gov,121093, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,53, United-States, >50K.\n36, Private,300373, 10th,6, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n35, Private,95708, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,7688,0,60, United-States, >50K.\n36, State-gov,235779, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,114158, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n54, Private,192226, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n38, Private,166416, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,211215, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n26, Private,157617, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K.\n44, Private,96170, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K.\n26, Private,224045, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n42, Private,350550, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n37, Self-emp-not-inc,114719, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K.\n26, Private,124111, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n36, Private,250224, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, Black, Female,0,0,40, United-States, <=50K.\n19, ?,232060, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n44, Private,195258, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n23, Private,285775, HS-grad,9, Never-married, Protective-serv, Other-relative, White, Male,0,0,42, United-States, <=50K.\n27, Private,146687, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,76128, HS-grad,9, Divorced, Craft-repair, Not-in-family, Other, Male,0,0,60, Ecuador, <=50K.\n28, Private,241607, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,273675, HS-grad,9, Married-spouse-absent, Other-service, Other-relative, Black, Female,0,0,35, Puerto-Rico, <=50K.\n29, Private,210867, 11th,7, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n41, Private,144752, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K.\n34, Private,185820, HS-grad,9, Married-civ-spouse, Sales, Wife, Black, Female,0,0,40, United-States, <=50K.\n42, Private,252518, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, ?, <=50K.\n30, Private,123833, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,291569, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, <=50K.\n37, Private,638116, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,32, United-States, <=50K.\n46, Private,269045, 11th,7, Widowed, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n46, Private,102852, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,195447, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n27, Private,173944, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n25, Private,276728, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Female,0,0,43, United-States, <=50K.\n21, State-gov,173534, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, Ecuador, <=50K.\n23, Private,198368, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, Private,27620, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n46, Local-gov,192235, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n27, Private,467936, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, Mexico, <=50K.\n25, Private,264136, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n61, Self-emp-not-inc,184009, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,2444,50, United-States, >50K.\n50, Private,165001, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n66, Private,123484, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n26, Private,123384, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K.\n50, Self-emp-inc,235307, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K.\n41, Private,238384, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n43, Self-emp-not-inc,171351, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K.\n38, State-gov,162424, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,333838, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K.\n58, Private,100303, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K.\n41, Federal-gov,58447, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K.\n43, Local-gov,317185, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K.\n39, Private,103323, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1669,40, United-States, <=50K.\n22, Private,221694, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n52, Private,214091, HS-grad,9, Widowed, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n35, ?,171062, Bachelors,13, Never-married, ?, Not-in-family, Black, Male,0,0,40, England, <=50K.\n46, Private,278200, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,187592, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n55, Private,188382, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K.\n48, Private,65584, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n22, ?,117789, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n30, Private,402089, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n40, Private,69730, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Private,34218, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n55, Federal-gov,54566, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,698039, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,28, United-States, <=50K.\n57, ?,76571, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n57, Private,133201, 7th-8th,4, Divorced, Craft-repair, Unmarried, White, Male,0,1408,40, France, <=50K.\n47, Federal-gov,146786, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n46, ?,96154, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n64, State-gov,143880, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,132397, 12th,8, Never-married, Other-service, Own-child, Black, Female,0,0,18, United-States, <=50K.\n28, ?,45613, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,136226, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Self-emp-not-inc,334291, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n33, Private,183017, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,32, United-States, <=50K.\n66, Private,207917, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Black, Male,1797,0,20, United-States, <=50K.\n65, ?,136431, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,9386,0,40, United-States, >50K.\n37, Private,80303, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n19, Private,210509, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K.\n37, ?,48915, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n41, Private,91316, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,205670, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n76, Private,25319, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n52, Private,264129, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,40165, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, Japan, <=50K.\n43, Federal-gov,79529, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K.\n32, Private,164519, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n33, Private,184178, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,35, United-States, <=50K.\n33, State-gov,427812, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, Mexico, <=50K.\n59, Self-emp-not-inc,172618, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n21, Private,472861, 11th,7, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n40, Private,114157, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Self-emp-not-inc,104164, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n45, Self-emp-not-inc,180680, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n28, Private,300915, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,43, United-States, >50K.\n38, Private,308171, Some-college,10, Separated, Tech-support, Unmarried, Black, Female,0,0,50, United-States, <=50K.\n56, Private,320833, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n42, ?,167710, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,18, United-States, <=50K.\n19, Private,228577, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,36, United-States, <=50K.\n48, Self-emp-not-inc,221464, 11th,7, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K.\n31, Self-emp-not-inc,213307, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,28, Mexico, <=50K.\n42, Private,165815, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,248919, 1st-4th,2, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,66, Mexico, <=50K.\n23, ?,116934, 10th,6, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n60, Self-emp-not-inc,285365, Some-college,10, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,50, United-States, <=50K.\n63, Private,134960, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Scotland, <=50K.\n24, Private,449101, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, Private,46019, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,5178,0,50, United-States, >50K.\n71, ?,161027, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, >50K.\n32, State-gov,19513, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Japan, <=50K.\n57, Self-emp-not-inc,258121, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n56, Private,242782, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,44, United-States, <=50K.\n65, ?,193365, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K.\n42, Private,182402, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,50, United-States, >50K.\n24, Private,254767, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,112115, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n58, Private,117299, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,214781, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n33, Private,197474, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K.\n24, ?,234791, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,25, United-States, <=50K.\n34, Local-gov,126584, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n72, Self-emp-not-inc,28865, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,14, United-States, <=50K.\n61, Private,163729, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,218407, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, Columbia, >50K.\n58, Private,95428, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n57, Self-emp-inc,146103, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,30, United-States, >50K.\n25, Private,150312, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n72, Private,76206, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,16, United-States, <=50K.\n23, Private,340543, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,125461, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,218015, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n49, Private,178160, Assoc-acdm,12, Widowed, Sales, Not-in-family, White, Female,0,0,40, Germany, <=50K.\n25, Private,169905, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,226629, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n28, Private,180313, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, ?,236276, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n71, Private,124901, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n63, Local-gov,214275, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,55, United-States, <=50K.\n49, Local-gov,371886, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, >50K.\n65, Private,282779, Masters,14, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, >50K.\n22, Private,218415, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,0,0,50, United-States, <=50K.\n45, Private,105431, HS-grad,9, Divorced, Farming-fishing, Unmarried, Black, Female,0,0,39, United-States, <=50K.\n32, ?,373231, Some-college,10, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n29, Private,59792, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K.\n44, Private,75742, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n64, Private,186731, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n22, Private,310197, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n64, Private,73413, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n39, Private,175232, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,338948, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n22, Private,95647, 11th,7, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n43, Self-emp-inc,677398, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n26, Self-emp-not-inc,263300, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, <=50K.\n47, Federal-gov,218325, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K.\n37, Local-gov,156261, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K.\n25, Private,165817, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n41, Private,304605, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n39, Self-emp-not-inc,245361, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K.\n45, Federal-gov,230685, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n18, ?,184502, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,30, United-States, <=50K.\n37, Local-gov,116736, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,178952, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n34, Private,156266, 11th,7, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K.\n22, Private,163519, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K.\n18, Private,296090, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n22, Private,119742, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n55, Private,269763, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,10, United-States, <=50K.\n56, Private,287833, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, >50K.\n19, ?,190093, 12th,8, Never-married, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n74, Self-emp-inc,148003, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,6, United-States, >50K.\n18, Private,131414, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n39, Private,172571, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Local-gov,184440, 12th,8, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,36, United-States, <=50K.\n28, Private,216479, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,293475, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Federal-gov,109982, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,205033, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n32, Local-gov,56658, HS-grad,9, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n58, Private,159008, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K.\n28, Private,37302, HS-grad,9, Divorced, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Local-gov,107417, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,236379, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n51, Private,57637, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n51, Private,276214, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,113749, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,100837, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2002,66, United-States, <=50K.\n45, Private,239058, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n19, Private,286419, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K.\n52, ?,50934, Assoc-acdm,12, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, >50K.\n21, Private,283969, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Mexico, <=50K.\n76, Private,152839, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K.\n46, Local-gov,32290, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,204373, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n51, Private,126528, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n19, Private,245408, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n30, State-gov,127610, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n46, Private,132919, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,12, United-States, >50K.\n68, Private,58547, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1735,48, United-States, <=50K.\n36, Private,251091, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n71, Private,149950, HS-grad,9, Widowed, Priv-house-serv, Unmarried, White, Female,0,0,20, United-States, <=50K.\n32, Private,464621, Some-college,10, Never-married, Farming-fishing, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n43, Private,170230, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n33, Private,100294, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n24, Local-gov,234108, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,33046, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K.\n76, Private,84428, Some-college,10, Widowed, Sales, Not-in-family, Asian-Pac-Islander, Female,2062,0,37, United-States, <=50K.\n35, Self-emp-not-inc,107662, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,5, Canada, <=50K.\n23, Private,220874, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, Local-gov,88564, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-inc,144778, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n17, ?,179861, 10th,6, Never-married, ?, Own-child, White, Male,0,0,10, Poland, <=50K.\n30, Private,166671, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K.\n51, Private,97180, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K.\n18, Self-emp-not-inc,194091, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,24, United-States, <=50K.\n23, Private,308498, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,18, United-States, <=50K.\n53, Federal-gov,321865, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,181814, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n44, Private,374423, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1902,40, United-States, >50K.\n49, Private,213668, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,213236, HS-grad,9, Separated, Other-service, Unmarried, White, Male,0,0,40, Dominican-Republic, <=50K.\n58, Self-emp-not-inc,115439, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,124111, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K.\n32, Private,176185, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,4787,0,40, United-States, >50K.\n26, Private,211231, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n25, Private,259715, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n19, Private,248600, 10th,6, Never-married, Other-service, Other-relative, White, Female,34095,0,24, United-States, <=50K.\n39, Private,153997, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,1902,40, Puerto-Rico, >50K.\n44, Private,67779, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n32, Private,236861, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K.\n57, Private,367334, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n64, Private,213391, 9th,5, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K.\n46, Local-gov,301124, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,45, United-States, >50K.\n37, Private,184117, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n22, Private,233923, Assoc-voc,11, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n30, Private,348592, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Local-gov,111817, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,170983, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Self-emp-not-inc,121407, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,35, United-States, <=50K.\n40, Local-gov,210275, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n21, Private,116358, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n48, Private,189123, Masters,14, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,48087, Bachelors,13, Divorced, Machine-op-inspct, Not-in-family, White, Male,2354,0,40, United-States, <=50K.\n37, Private,179488, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Local-gov,370990, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n49, Private,169760, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K.\n38, State-gov,34493, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n61, Private,185584, Bachelors,13, Widowed, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0,0,40, ?, <=50K.\n44, Private,324311, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,32, Mexico, <=50K.\n62, Self-emp-not-inc,96299, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,147322, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Columbia, <=50K.\n35, Private,135289, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n44, State-gov,128586, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, State-gov,185590, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n28, Self-emp-not-inc,107458, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K.\n57, Private,151874, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,50, United-States, <=50K.\n26, State-gov,413846, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,203836, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, >50K.\n44, Self-emp-not-inc,110028, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,57640, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n40, State-gov,67874, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,58, United-States, <=50K.\n50, Self-emp-not-inc,169112, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K.\n37, Self-emp-inc,154410, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n26, Private,63234, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,4508,0,12, United-States, <=50K.\n64, Private,121036, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, >50K.\n30, Private,408328, Preschool,1, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n29, Private,269254, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,115438, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K.\n28, Private,332249, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n33, State-gov,160261, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n24, Private,167316, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n26, State-gov,291586, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n77, Self-emp-not-inc,184046, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n25, Federal-gov,178025, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,9, United-States, <=50K.\n53, Private,104280, 12th,8, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n38, Private,302604, 11th,7, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K.\n30, Private,225243, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,47, United-States, >50K.\n39, Self-emp-not-inc,327120, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K.\n51, Self-emp-not-inc,43878, Doctorate,16, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K.\n25, ?,40915, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n49, Self-emp-inc,83444, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,85, United-States, >50K.\n51, Private,351416, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,117310, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,1876,48, United-States, <=50K.\n36, Private,324231, 9th,5, Never-married, Farming-fishing, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n62, Private,161802, 1st-4th,2, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0,0,30, United-States, <=50K.\n40, Self-emp-not-inc,184804, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,2205,45, United-States, <=50K.\n30, Federal-gov,547931, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n39, Private,46395, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Local-gov,182313, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Local-gov,169069, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,203182, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n57, Private,142924, Bachelors,13, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n33, Private,180656, 5th-6th,3, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Guatemala, <=50K.\n58, Private,187485, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,24, United-States, <=50K.\n84, ?,157778, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,6, United-States, <=50K.\n46, Self-emp-not-inc,149337, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n23, Private,97054, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n32, Private,377017, Bachelors,13, Never-married, Sales, Other-relative, White, Male,0,0,32, United-States, <=50K.\n43, Private,106900, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,378723, 10th,6, Separated, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K.\n23, Private,209955, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,312766, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n59, Private,70857, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,238917, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, El-Salvador, <=50K.\n50, State-gov,53497, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,46, United-States, >50K.\n44, Private,283174, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n60, ?,190497, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n56, State-gov,104447, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,2339,40, United-States, <=50K.\n36, Private,73023, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,2202,0,40, United-States, <=50K.\n20, Private,177896, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,349951, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4508,0,55, United-States, <=50K.\n29, Private,80179, HS-grad,9, Separated, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n32, State-gov,308955, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K.\n36, Private,126896, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,35, United-States, <=50K.\n19, State-gov,116385, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,18, United-States, <=50K.\n37, State-gov,172425, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n22, Private,106615, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,15, United-States, <=50K.\n42, Private,261929, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n22, Private,163870, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K.\n35, Self-emp-inc,242080, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,45, United-States, >50K.\n21, Private,30796, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n43, Self-emp-not-inc,207578, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K.\n22, ?,140001, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n18, Private,217942, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,24, United-States, <=50K.\n28, Private,301010, 11th,7, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n20, ?,222007, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,24, United-States, <=50K.\n32, Private,72630, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,3325,0,45, United-States, <=50K.\n49, Local-gov,204377, 11th,7, Divorced, Other-service, Own-child, White, Female,0,0,60, United-States, <=50K.\n38, Local-gov,189614, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n21, Private,100345, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,163687, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K.\n34, Local-gov,174215, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,35, United-States, >50K.\n32, Private,37646, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n33, Private,84154, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, <=50K.\n41, Private,116493, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,52, United-States, <=50K.\n38, Private,259972, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n58, State-gov,185338, Bachelors,13, Widowed, Tech-support, Unmarried, White, Female,0,0,40, United-States, >50K.\n44, Private,99212, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, United-States, <=50K.\n61, Private,54780, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,393673, Some-college,10, Never-married, Tech-support, Other-relative, White, Female,0,0,40, United-States, <=50K.\n36, Private,66687, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n44, Private,133986, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, Private,248694, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,212888, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n51, Self-emp-inc,304955, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K.\n23, Private,172232, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,53, United-States, <=50K.\n59, Private,32446, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,182701, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,12, Mexico, <=50K.\n23, Private,164920, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,15, Germany, <=50K.\n24, Private,274424, HS-grad,9, Never-married, Tech-support, Unmarried, White, Female,1831,0,40, United-States, <=50K.\n57, Private,176904, 10th,6, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n28, Private,217530, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n59, Private,318450, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n39, Private,210945, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n26, Private,181838, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n17, Private,91931, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,23, United-States, <=50K.\n45, Self-emp-not-inc,123681, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n64, Local-gov,181628, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, <=50K.\n72, ?,305145, Bachelors,13, Widowed, ?, Not-in-family, White, Male,0,0,4, United-States, <=50K.\n55, Private,174533, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,94342, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,16, United-States, <=50K.\n43, Private,215624, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K.\n46, Self-emp-not-inc,112485, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n54, Private,27484, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,186454, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,4650,0,40, Vietnam, <=50K.\n28, State-gov,187746, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1669,40, United-States, <=50K.\n57, Private,358628, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, Private,295939, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Self-emp-not-inc,127198, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, <=50K.\n48, Private,81497, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,65, United-States, <=50K.\n30, Self-emp-not-inc,143078, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,2444,55, United-States, >50K.\n70, Self-emp-not-inc,177806, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Local-gov,210926, 9th,5, Divorced, Farming-fishing, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n34, Private,195144, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Private,252563, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,170785, 12th,8, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n19, Private,111232, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n59, Private,59584, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n48, Private,148254, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,1902,40, ?, >50K.\n30, Local-gov,19302, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,70, Germany, >50K.\n52, Private,285224, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K.\n43, Private,172256, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K.\n51, State-gov,128260, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K.\n25, Private,156163, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, ?, <=50K.\n31, Private,155914, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,58471, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K.\n29, Private,282389, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n40, Private,117915, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n40, Private,163628, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,287436, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n58, State-gov,139736, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,1741,40, United-States, <=50K.\n28, Local-gov,136643, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n43, Local-gov,180572, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K.\n40, State-gov,148805, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n55, Private,497039, Some-college,10, Divorced, Tech-support, Unmarried, Black, Female,0,0,56, United-States, <=50K.\n18, Private,226956, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K.\n36, Private,157184, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, >50K.\n21, Private,315470, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n45, Private,252079, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n53, Private,138022, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n33, Private,48520, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,346605, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n35, Private,139770, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,29, United-States, <=50K.\n41, Private,209899, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,55844, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n61, Private,215789, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, Private,126913, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n42, State-gov,101950, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n28, Private,451742, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Private,173754, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,350131, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,2339,40, United-States, <=50K.\n32, Private,185820, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n35, Private,176837, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,271282, Bachelors,13, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,56, United-States, <=50K.\n25, ?,420081, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n38, State-gov,142282, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, State-gov,266855, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, >50K.\n36, Private,148143, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n40, State-gov,21189, Bachelors,13, Divorced, Adm-clerical, Other-relative, Black, Female,0,0,32, United-States, <=50K.\n37, Private,110013, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Private,350400, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n51, Private,275507, Some-college,10, Divorced, Sales, Unmarried, Black, Female,0,0,50, United-States, <=50K.\n42, Private,169948, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,80, United-States, >50K.\n41, Private,298161, Assoc-voc,11, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, Cuba, <=50K.\n45, ?,120131, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,25, United-States, <=50K.\n32, State-gov,113129, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, >50K.\n24, Private,201680, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n63, Private,158609, 10th,6, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n67, Self-emp-inc,22313, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,20051,0,40, United-States, >50K.\n36, Private,261012, HS-grad,9, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,50, United-States, <=50K.\n52, Private,104501, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n32, Private,50178, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,65624, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K.\n33, Private,236481, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,10, India, <=50K.\n50, Private,213041, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n55, Private,105127, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, ?,127441, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,42, United-States, <=50K.\n30, Private,210541, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,163512, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,8, Guatemala, <=50K.\n36, Private,170376, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1887,40, United-States, >50K.\n50, Private,132465, 1st-4th,2, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n45, Private,253827, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K.\n22, Private,186383, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,40, United-States, <=50K.\n34, Private,111985, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n37, Private,152909, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n57, Private,279340, 7th-8th,4, Widowed, Other-service, Unmarried, Black, Female,0,0,29, United-States, <=50K.\n29, Private,154571, Some-college,10, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, ?, <=50K.\n31, Private,270889, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,241731, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n45, ?,256649, Bachelors,13, Married-civ-spouse, ?, Husband, Black, Male,0,0,45, United-States, >50K.\n31, Private,176711, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,359155, HS-grad,9, Separated, Transport-moving, Unmarried, White, Female,0,0,30, United-States, <=50K.\n30, State-gov,103651, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-not-inc,138872, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n50, Private,180195, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K.\n37, Local-gov,175979, Bachelors,13, Divorced, Prof-specialty, Other-relative, White, Female,0,0,60, United-States, <=50K.\n59, Local-gov,53612, Masters,14, Separated, Prof-specialty, Own-child, Black, Female,0,0,35, United-States, <=50K.\n18, Local-gov,28357, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n25, Private,460322, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,43, United-States, <=50K.\n36, Private,182954, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, Dominican-Republic, <=50K.\n17, Private,242871, 10th,6, Never-married, Sales, Own-child, White, Female,594,0,12, United-States, <=50K.\n55, Local-gov,30636, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, United-States, >50K.\n47, Local-gov,274657, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Male,3908,0,40, United-States, <=50K.\n17, ?,179807, 10th,6, Never-married, ?, Own-child, White, Female,0,0,16, United-States, <=50K.\n18, Private,230215, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n46, Federal-gov,260549, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,80, United-States, >50K.\n31, Private,408208, HS-grad,9, Never-married, Craft-repair, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n61, Private,143837, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,203784, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,38, Mexico, <=50K.\n43, Federal-gov,190020, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,666014, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n32, Private,50753, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Federal-gov,197515, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,209476, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n67, Private,192995, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,6723,0,40, United-States, <=50K.\n25, Private,39640, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n33, Private,203488, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n29, Private,125791, Assoc-acdm,12, Never-married, Exec-managerial, Other-relative, White, Female,0,0,38, United-States, <=50K.\n20, Private,167424, Some-college,10, Never-married, Priv-house-serv, Own-child, White, Female,0,0,40, United-States, <=50K.\n58, ?,169590, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n56, ?,174533, Bachelors,13, Never-married, ?, Unmarried, White, Female,0,0,20, United-States, <=50K.\n37, Private,474568, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, ?, >50K.\n36, Private,414910, 7th-8th,4, Divorced, Sales, Not-in-family, Other, Female,0,0,35, United-States, <=50K.\n21, Self-emp-inc,95997, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K.\n26, Private,191797, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,16, United-States, <=50K.\n81, ?,143732, 1st-4th,2, Widowed, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n52, Private,65624, Assoc-acdm,12, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n48, Private,352614, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, ?, >50K.\n34, Private,301251, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n47, Private,98524, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,112512, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, >50K.\n37, Local-gov,170861, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n42, Private,244668, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,8614,0,40, Mexico, >50K.\n23, Private,148890, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,25, United-States, <=50K.\n37, Private,149898, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n45, Private,240629, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n28, Federal-gov,19522, Some-college,10, Never-married, Tech-support, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n89, Private,152839, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Local-gov,105788, Masters,14, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,37, United-States, >50K.\n23, Private,314823, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,24, United-States, <=50K.\n20, ?,287681, 5th-6th,3, Never-married, ?, Not-in-family, White, Male,0,0,25, Mexico, <=50K.\n50, ?,313445, HS-grad,9, Separated, ?, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n35, Private,289148, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,166193, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Federal-gov,206857, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,150683, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,42, United-States, <=50K.\n52, Private,155759, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, ?,211459, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n35, Private,191103, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,88856, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,40, United-States, >50K.\n41, Private,193882, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,65, United-States, >50K.\n57, State-gov,222792, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n22, Private,190137, HS-grad,9, Never-married, Sales, Own-child, Other, Male,0,0,40, United-States, <=50K.\n37, Private,174308, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n74, Private,172787, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Male,0,2282,35, United-States, >50K.\n56, Private,146391, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, Ireland, <=50K.\n33, Private,179708, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n31, Local-gov,314375, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,30, United-States, <=50K.\n41, Local-gov,120277, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n26, Private,244906, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n59, Local-gov,251890, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,25, Puerto-Rico, <=50K.\n23, Private,220993, HS-grad,9, Married-civ-spouse, Sales, Not-in-family, Black, Male,0,0,60, United-States, <=50K.\n35, Private,309131, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n50, State-gov,263200, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, Ecuador, <=50K.\n52, Self-emp-not-inc,92469, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n31, Private,32406, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K.\n37, Private,235070, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,35, Haiti, <=50K.\n48, Private,196571, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Local-gov,258819, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,33945, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,452640, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n57, Self-emp-not-inc,112772, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n49, Self-emp-not-inc,34845, Assoc-voc,11, Divorced, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n23, Private,119051, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n20, Private,197767, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,36, United-States, <=50K.\n52, Local-gov,181578, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, ?, >50K.\n56, Private,329654, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,7688,0,50, United-States, >50K.\n57, Federal-gov,47534, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, >50K.\n20, Private,341294, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n43, Private,336042, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n41, Self-emp-inc,56019, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999,0,50, India, >50K.\n45, Private,86505, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Private,274106, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, Mexico, <=50K.\n62, Federal-gov,52765, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n19, Self-emp-inc,136848, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,6, United-States, <=50K.\n24, Private,298227, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n19, Self-emp-not-inc,215493, HS-grad,9, Never-married, Tech-support, Own-child, White, Male,0,0,20, United-States, <=50K.\n20, ?,197583, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n32, Private,265190, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,96921, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n53, Local-gov,202420, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n45, Private,252616, 7th-8th,4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,36, China, <=50K.\n39, Private,102976, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n55, Private,70439, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, >50K.\n30, Private,184290, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n39, Federal-gov,72887, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n23, Local-gov,237498, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n28, Self-emp-not-inc,228043, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n42, Private,144056, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K.\n35, Private,187711, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Private,282489, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n29, Private,359155, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,20, United-States, <=50K.\n21, Self-emp-not-inc,87169, HS-grad,9, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0,0,35, United-States, <=50K.\n35, Private,251091, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, Puerto-Rico, <=50K.\n42, Private,130126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,163265, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n57, Private,250040, 7th-8th,4, Divorced, Prof-specialty, Other-relative, White, Female,0,0,20, ?, <=50K.\n59, ?,218764, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n50, Private,176773, Preschool,1, Married-civ-spouse, Farming-fishing, Husband, Black, Male,0,0,40, Haiti, <=50K.\n37, Self-emp-not-inc,98941, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K.\n20, Private,217467, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,97176, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K.\n28, Private,230503, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, Private,227321, Some-college,10, Separated, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n20, Private,199698, 9th,5, Never-married, Transport-moving, Unmarried, White, Male,0,0,35, United-States, <=50K.\n38, Local-gov,347491, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,103925, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, Germany, <=50K.\n30, Private,124569, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n35, Private,80680, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K.\n30, State-gov,119197, Masters,14, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male,0,0,50, United-States, <=50K.\n56, Private,147055, 9th,5, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,316470, 9th,5, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n64, Private,260082, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Cuba, <=50K.\n21, ?,228960, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n17, ?,256496, 10th,6, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K.\n49, Private,133351, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, Black, Female,0,0,40, United-States, <=50K.\n37, Private,151835, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K.\n52, ?,224793, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n55, Private,101480, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,33, United-States, <=50K.\n24, Private,138719, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K.\n23, Private,129121, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n31, Private,401069, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,39, United-States, <=50K.\n17, ?,188758, 10th,6, Never-married, ?, Own-child, White, Male,0,0,14, United-States, <=50K.\n50, Private,191598, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,1980,38, United-States, <=50K.\n33, Private,330715, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n24, Private,284317, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,393673, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,45, United-States, <=50K.\n31, Self-emp-not-inc,206609, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,0,2205,60, United-States, <=50K.\n77, ?,88545, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K.\n21, Private,224632, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,38, United-States, <=50K.\n18, Private,227529, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,10, United-States, <=50K.\n25, Private,210148, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n57, Private,224174, Assoc-voc,11, Widowed, Craft-repair, Not-in-family, Black, Male,0,0,40, ?, <=50K.\n25, Private,193787, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K.\n62, Self-emp-not-inc,244953, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n35, Private,223749, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,48, United-States, >50K.\n26, Private,37650, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,5060,0,40, United-States, <=50K.\n47, Private,358382, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n25, Private,155275, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,180574, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,101853, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,34161, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n50, Private,83311, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,217125, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K.\n50, Private,166368, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n23, ?,44793, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, ?,123147, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,25, United-States, <=50K.\n51, Private,184529, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K.\n37, Private,224566, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,39, United-States, <=50K.\n25, Private,195994, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n38, Private,186376, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,42, United-States, >50K.\n60, Federal-gov,38749, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999,0,60, Philippines, >50K.\n66, ?,78375, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K.\n74, Private,148867, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,6418,0,24, United-States, >50K.\n37, Private,207066, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K.\n26, Private,339423, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Private,172186, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n19, ?,138564, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,8, United-States, <=50K.\n35, Private,208259, 10th,6, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,36, United-States, <=50K.\n43, Local-gov,203376, Masters,14, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n31, Self-emp-inc,243165, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n35, Self-emp-inc,213008, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n30, Private,159323, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,65, Canada, <=50K.\n22, Private,197050, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n36, Private,166855, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,163072, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,34, United-States, <=50K.\n36, Private,191807, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,75, United-States, <=50K.\n29, State-gov,48634, Bachelors,13, Never-married, Protective-serv, Own-child, White, Female,0,0,40, United-States, <=50K.\n30, Local-gov,287737, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Female,3325,0,40, United-States, <=50K.\n31, Private,162623, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n27, Private,104993, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K.\n44, ?,256211, Assoc-voc,11, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male,0,2129,40, Poland, <=50K.\n17, Private,298605, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K.\n36, Private,115803, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,183342, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n46, Self-emp-not-inc,115971, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,254547, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,20, United-States, <=50K.\n42, Private,211940, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n55, State-gov,136819, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, >50K.\n61, Self-emp-not-inc,186000, Assoc-voc,11, Widowed, Craft-repair, Unmarried, White, Female,0,0,40, Canada, <=50K.\n20, Private,289982, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,10, El-Salvador, <=50K.\n60, Private,137344, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,174413, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n33, Private,186993, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,51, United-States, <=50K.\n67, Self-emp-not-inc,176388, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n34, Private,49469, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n34, Private,83800, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K.\n38, Private,194809, Some-college,10, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n50, Private,194397, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Private,181363, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K.\n55, ?,227243, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,35, Puerto-Rico, <=50K.\n18, Private,176136, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K.\n26, ?,102541, 10th,6, Never-married, ?, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n40, Private,166088, Assoc-voc,11, Widowed, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K.\n37, Self-emp-inc,95634, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, Canada, <=50K.\n35, Private,66304, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n22, Private,64292, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,2176,0,25, United-States, <=50K.\n33, Private,41610, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Local-gov,198028, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n36, Private,228652, Some-college,10, Divorced, Machine-op-inspct, Own-child, Other, Male,0,0,40, Mexico, <=50K.\n41, Private,165815, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n39, Private,238255, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n63, Private,65740, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K.\n52, Private,279543, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Cuba, >50K.\n36, Private,114765, 10th,6, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K.\n27, Private,279580, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,42, Mexico, <=50K.\n19, Private,73257, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, Germany, <=50K.\n66, Private,80621, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K.\n74, State-gov,193602, Some-college,10, Widowed, Exec-managerial, Not-in-family, Black, Male,15831,0,40, United-States, >50K.\n17, ?,141445, 9th,5, Never-married, ?, Own-child, White, Male,0,0,5, United-States, <=50K.\n37, Private,224512, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n52, Self-emp-not-inc,98642, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, India, >50K.\n21, ?,182288, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n44, Private,765214, Masters,14, Separated, Exec-managerial, Not-in-family, White, Male,0,2559,40, United-States, >50K.\n24, Private,224785, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1876,65, United-States, <=50K.\n19, ?,285177, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,18, United-States, <=50K.\n31, Private,241880, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,45, United-States, <=50K.\n42, Self-emp-inc,201495, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,165215, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,15, United-States, >50K.\n35, Self-emp-inc,99146, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n26, State-gov,92795, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,80, United-States, <=50K.\n39, Self-emp-not-inc,54022, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K.\n38, Private,175268, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n39, Local-gov,123983, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K.\n35, Private,269323, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,1887,40, United-States, >50K.\n40, Private,32798, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,45, United-States, <=50K.\n64, Private,101077, Prof-school,15, Widowed, Prof-specialty, Not-in-family, White, Female,0,2444,40, United-States, >50K.\n22, ?,157332, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n49, Private,390746, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1672,45, Ireland, <=50K.\n26, Private,200318, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K.\n38, ?,36425, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n44, Private,221172, 5th-6th,3, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n34, Self-emp-inc,337995, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Male,15020,0,50, United-States, >50K.\n54, Private,64421, Some-college,10, Widowed, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n22, Private,199915, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K.\n64, Private,207658, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,124810, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n40, Self-emp-inc,253060, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n36, Private,76878, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,40, United-States, >50K.\n20, ?,38455, HS-grad,9, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n49, Private,41294, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Private,205195, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,162236, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K.\n27, Private,445480, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n30, Private,761800, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,188300, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,28, United-States, <=50K.\n36, Private,138088, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n53, Private,132304, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n32, Private,126173, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, Private,259873, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n40, Private,122215, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,190015, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,313132, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n35, Self-emp-not-inc,103323, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n17, ?,44789, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K.\n28, Private,192932, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,264025, HS-grad,9, Separated, Transport-moving, Unmarried, Black, Male,1506,0,80, United-States, <=50K.\n37, Private,30269, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,2174,0,50, United-States, <=50K.\n23, Private,283092, HS-grad,9, Never-married, Sales, Other-relative, Black, Male,0,0,40, Jamaica, <=50K.\n17, Private,125236, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,22, United-States, <=50K.\n47, Private,187308, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n43, Private,150519, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n39, Local-gov,32587, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,1485,40, United-States, >50K.\n37, Private,244803, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Columbia, <=50K.\n23, Private,316793, HS-grad,9, Married-civ-spouse, Sales, Wife, Black, Female,0,0,35, United-States, <=50K.\n41, Private,106068, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n22, Private,191878, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,35, United-States, <=50K.\n30, ?,159008, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n39, Private,181983, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Female,0,2559,60, England, >50K.\n65, Private,113293, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n61, Local-gov,224711, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,63, United-States, >50K.\n20, Private,460356, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,30, Mexico, <=50K.\n37, Local-gov,184474, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,2977,0,55, United-States, <=50K.\n39, Private,289890, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n27, Private,183148, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,178109, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n54, Private,351760, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n39, Private,176967, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n17, Private,67444, 11th,7, Never-married, Other-service, Other-relative, Black, Male,0,0,20, United-States, <=50K.\n23, Private,48343, HS-grad,9, Never-married, Sales, Not-in-family, Black, Female,0,0,27, ?, <=50K.\n19, Private,1047822, 11th,7, Never-married, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K.\n55, Local-gov,200448, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n36, Private,34364, Assoc-acdm,12, Separated, Tech-support, Not-in-family, White, Female,0,0,3, United-States, <=50K.\n27, Private,95725, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K.\n23, Private,124802, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n38, Local-gov,196673, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,55, United-States, <=50K.\n22, Private,196943, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,43819, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n53, Private,173020, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n67, Local-gov,102690, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K.\n42, Private,199018, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, >50K.\n29, Private,201954, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K.\n31, Private,168854, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,1504,40, United-States, <=50K.\n22, Private,53702, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,154043, HS-grad,9, Widowed, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n41, Self-emp-inc,64112, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n68, ?,294420, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,2, United-States, <=50K.\n42, Self-emp-inc,325159, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n20, Private,267706, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n18, Private,70240, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n31, Private,213307, 7th-8th,4, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,20, Mexico, <=50K.\n56, Private,192845, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,40, United-States, >50K.\n23, Private,273010, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, ?,177775, Assoc-voc,11, Never-married, ?, Other-relative, White, Female,0,0,32, United-States, <=50K.\n22, ?,393122, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n23, Private,345577, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,46, United-States, <=50K.\n54, Self-emp-not-inc,72257, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n34, Private,113129, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,38, United-States, >50K.\n36, Private,292380, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,10, United-States, <=50K.\n29, Private,121040, Assoc-voc,11, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n67, Private,142097, 9th,5, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,6, United-States, <=50K.\n48, Federal-gov,34998, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, >50K.\n53, State-gov,41021, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,46, United-States, >50K.\n42, Private,152889, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,50, United-States, >50K.\n56, Private,436651, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K.\n20, ?,256504, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n40, Private,215479, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n55, State-gov,100285, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Male,10520,0,40, United-States, >50K.\n61, Private,373099, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,99357, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n42, Private,67243, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Portugal, <=50K.\n32, Private,231263, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n19, Private,243942, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,194102, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Private,141748, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,40, United-States, >50K.\n22, Private,211013, HS-grad,9, Separated, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n23, Private,102652, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n49, Private,201127, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,70, United-States, <=50K.\n57, ?,172667, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K.\n49, Local-gov,175958, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Italy, <=50K.\n34, Private,73928, 10th,6, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,4, United-States, <=50K.\n46, Private,212944, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K.\n26, Private,544319, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,348960, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,41, United-States, <=50K.\n59, Private,280519, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n24, Private,155172, Assoc-acdm,12, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,106856, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,397346, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n27, Private,253814, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n23, Private,201490, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K.\n19, Private,176806, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,107038, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, Private,122194, Some-college,10, Married-civ-spouse, Craft-repair, Wife, White, Female,7298,0,40, United-States, >50K.\n28, Self-emp-not-inc,180928, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n62, Private,143746, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,183523, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K.\n35, Federal-gov,179262, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, Private,190759, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K.\n53, Self-emp-inc,200400, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K.\n29, Private,166320, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n17, Private,205954, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,8, United-States, <=50K.\n45, Local-gov,251786, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n20, Private,166371, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n27, ?,135046, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n59, Local-gov,170423, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,393673, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n27, Private,115438, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n29, Private,173944, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n26, ?,292803, Some-college,10, Divorced, ?, Other-relative, White, Female,0,0,35, United-States, <=50K.\n63, Private,149756, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K.\n39, Private,192251, Some-college,10, Divorced, Craft-repair, Own-child, White, Female,0,0,50, United-States, >50K.\n20, Private,163687, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Private,200421, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n53, Self-emp-inc,368014, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K.\n49, ?,141483, 10th,6, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n35, Federal-gov,191480, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n40, Private,202466, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n50, ?,28765, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,141584, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n38, Federal-gov,143123, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,122194, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, State-gov,110171, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,40, United-States, >50K.\n43, Self-emp-inc,342510, Bachelors,13, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,60, United-States, >50K.\n20, Private,42279, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K.\n33, Private,201122, HS-grad,9, Separated, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,254025, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K.\n50, Private,410114, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n60, Private,320422, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,6849,0,50, United-States, <=50K.\n56, Private,67153, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n37, Private,224406, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n57, Private,211678, 10th,6, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,64, United-States, <=50K.\n22, Private,257017, Assoc-voc,11, Never-married, Other-service, Other-relative, Black, Male,0,0,52, United-States, <=50K.\n48, Self-emp-inc,106232, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,48, United-States, >50K.\n27, State-gov,41115, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n18, Self-emp-not-inc,161245, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K.\n41, Self-emp-not-inc,37618, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n33, Private,321787, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n51, Private,123011, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n33, Local-gov,66278, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n25, Private,181054, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n55, Self-emp-not-inc,129786, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n29, Private,245402, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,70, United-States, <=50K.\n24, ?,192711, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,41, United-States, <=50K.\n41, Private,240124, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n29, Local-gov,370675, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n39, Self-emp-not-inc,34066, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,50, United-States, >50K.\n35, Private,53553, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,48, United-States, >50K.\n20, Private,319758, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,43556, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Self-emp-inc,97952, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,80, United-States, <=50K.\n44, Private,244522, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n32, Private,188108, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n35, Private,187022, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n59, State-gov,173422, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,38, United-States, <=50K.\n61, State-gov,103575, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, Germany, <=50K.\n20, Private,116830, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,43, United-States, <=50K.\n58, Private,219504, 12th,8, Divorced, Transport-moving, Unmarried, Black, Male,0,0,45, United-States, >50K.\n48, Self-emp-not-inc,102102, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n26, Private,129661, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n28, State-gov,189346, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,113211, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K.\n45, Private,256866, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n18, Private,186408, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,1055,0,40, United-States, <=50K.\n23, Private,50411, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,118941, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n19, ?,171868, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,20, United-States, <=50K.\n35, Private,99065, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K.\n22, Self-emp-not-inc,238917, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,220740, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K.\n69, Private,192660, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K.\n39, Private,56962, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,43, United-States, >50K.\n21, ?,156780, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,15, ?, <=50K.\n22, Private,122048, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,4416,0,40, United-States, <=50K.\n52, Private,172511, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,36, United-States, <=50K.\n44, Private,186790, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K.\n22, Private,196280, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n49, Private,61885, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n51, Private,143822, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n27, Private,315640, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,20, China, <=50K.\n34, Private,617917, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K.\n20, Private,35448, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K.\n22, Private,124483, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,2339,40, India, <=50K.\n68, Private,230904, 11th,7, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0,1870,35, United-States, <=50K.\n31, Private,164461, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,73, United-States, <=50K.\n22, Private,450695, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n62, ?,352156, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,166634, HS-grad,9, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n46, Private,151107, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,1977,60, United-States, >50K.\n49, Private,219751, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,85604, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K.\n54, Local-gov,231482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K.\n24, Private,138152, 9th,5, Never-married, Craft-repair, Other-relative, Other, Male,0,0,58, Guatemala, <=50K.\n27, Private,309196, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,91666, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,89734, Some-college,10, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Male,0,0,42, United-States, <=50K.\n27, Private,79661, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4386,0,40, United-States, >50K.\n39, Private,197150, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,50, El-Salvador, <=50K.\n29, ?,41281, Bachelors,13, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n29, Private,53448, 12th,8, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,50, China, <=50K.\n44, Self-emp-not-inc,255543, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, >50K.\n51, State-gov,367209, Doctorate,16, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, >50K.\n37, Private,226500, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n56, Private,292710, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n19, Private,235732, 11th,7, Never-married, Adm-clerical, Unmarried, White, Female,0,0,15, United-States, <=50K.\n37, Private,301614, Bachelors,13, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K.\n18, Private,261714, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n35, ?,35751, 1st-4th,2, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K.\n28, Private,266316, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,3464,0,35, United-States, <=50K.\n40, Self-emp-inc,189941, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,60, United-States, >50K.\n50, Self-emp-not-inc,143535, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,234537, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n57, Self-emp-not-inc,181435, 11th,7, Divorced, Other-service, Unmarried, White, Male,4650,0,50, United-States, <=50K.\n40, Private,94210, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n44, Private,344060, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,27828,0,40, United-States, >50K.\n40, Private,301359, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n42, State-gov,184527, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,45, United-States, <=50K.\n41, Federal-gov,333070, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,35, United-States, <=50K.\n23, Private,149574, Some-college,10, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n41, Self-emp-not-inc,34037, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K.\n41, Self-emp-not-inc,123502, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n29, Self-emp-not-inc,267661, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,75, United-States, <=50K.\n33, Private,109920, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n43, Private,134120, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,46, United-States, <=50K.\n18, Private,192254, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K.\n67, Self-emp-not-inc,94809, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,2346,0,33, United-States, <=50K.\n21, Private,183789, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, Private,86643, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K.\n22, ?,190290, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,65, United-States, <=50K.\n64, ?,228140, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,198349, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n44, Local-gov,113597, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Federal-gov,280567, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,4, United-States, <=50K.\n60, Private,298967, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,15, United-States, <=50K.\n31, Self-emp-not-inc,134615, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n74, Private,89852, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,11, United-States, <=50K.\n30, Private,289442, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,159109, 11th,7, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n47, Private,105495, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K.\n71, Private,155093, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n33, Private,312923, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,80, Mexico, <=50K.\n56, Private,202435, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,30, United-States, <=50K.\n24, Self-emp-not-inc,49154, 11th,7, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n37, Private,184456, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,95329, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, India, <=50K.\n42, Private,173938, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K.\n56, Private,373216, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K.\n52, Private,204226, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n56, State-gov,222745, Doctorate,16, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,56, United-States, <=50K.\n54, Private,106728, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-not-inc,61287, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n68, Private,146011, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,3273,0,42, United-States, <=50K.\n38, Private,166744, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n44, Local-gov,54651, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n32, ?,42894, 11th,7, Married-civ-spouse, ?, Wife, White, Female,0,0,15, United-States, <=50K.\n23, Private,131230, Bachelors,13, Never-married, Protective-serv, Own-child, White, Male,0,0,50, United-States, <=50K.\n69, Private,271312, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n52, Private,163776, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1902,60, United-States, >50K.\n24, Private,230126, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,37718, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,245975, 9th,5, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,84, United-States, <=50K.\n59, State-gov,115439, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K.\n35, Private,97554, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n43, Private,109762, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, >50K.\n47, Private,138342, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n29, ?,429696, Some-college,10, Married-civ-spouse, ?, Own-child, Black, Female,0,0,14, United-States, <=50K.\n77, ?,309955, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,1411,2, United-States, <=50K.\n48, Private,275154, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n40, Private,52849, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, ?, >50K.\n23, State-gov,191165, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,15, United-States, <=50K.\n51, Private,277471, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,171754, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, ?, <=50K.\n44, Private,117936, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n24, Private,249956, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Self-emp-inc,170502, Masters,14, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,70, United-States, >50K.\n19, Private,202951, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K.\n21, Private,396722, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n49, Private,93557, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K.\n22, Private,103805, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,36, United-States, <=50K.\n59, Private,92141, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n51, Private,171924, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,50, United-States, >50K.\n38, Local-gov,173804, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Female,0,0,38, United-States, <=50K.\n45, Private,139571, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n56, Self-emp-inc,142076, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n67, ?,126514, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K.\n27, Local-gov,68729, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n21, Private,37783, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n55, Self-emp-not-inc,183580, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n31, Private,106637, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K.\n57, Self-emp-not-inc,411604, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, Mexico, <=50K.\n33, Private,214635, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, ?, <=50K.\n26, Private,201663, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n51, Private,153064, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5013,0,40, United-States, <=50K.\n35, Private,212465, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, ?,93604, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n46, Private,141221, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K.\n38, Local-gov,289653, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1628,48, United-States, <=50K.\n24, Private,219835, 7th-8th,4, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,24, Guatemala, <=50K.\n38, State-gov,187119, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K.\n49, Private,406518, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,16, Yugoslavia, <=50K.\n34, Self-emp-not-inc,372793, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,21, ?, <=50K.\n55, ?,229029, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,5178,0,20, United-States, >50K.\n51, Private,145105, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n72, Private,171181, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,2329,0,20, United-States, <=50K.\n60, Private,80927, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n45, Private,191357, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,153542, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K.\n49, Private,27802, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K.\n46, Private,275792, Bachelors,13, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n62, Federal-gov,162876, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,197600, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n50, Private,134247, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n18, Private,179597, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n71, Private,148003, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,1911,38, United-States, >50K.\n30, Private,185177, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,22, United-States, <=50K.\n51, Private,133069, 10th,6, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n36, Private,177154, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, >50K.\n41, State-gov,29324, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n38, State-gov,54911, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,10, United-States, <=50K.\n49, Private,219611, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, >50K.\n42, State-gov,200294, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n53, Private,177063, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n21, Private,140001, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K.\n19, Private,237433, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,4416,0,40, United-States, <=50K.\n43, State-gov,99185, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,52291, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,7688,0,45, United-States, >50K.\n30, Private,247328, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K.\n63, Self-emp-not-inc,388594, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n53, Local-gov,130730, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K.\n23, Private,115458, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,113866, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n61, Private,284710, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,45, Columbia, >50K.\n60, Local-gov,168381, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n32, Private,167063, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,33794, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, >50K.\n36, Private,263574, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n24, Private,95552, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,245724, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3818,0,44, United-States, <=50K.\n59, Private,152731, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,366876, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,203488, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n38, Private,30529, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3411,0,40, United-States, <=50K.\n57, Private,201159, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n64, Self-emp-inc,182158, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K.\n48, Private,443377, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n28, Private,101618, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K.\n46, Self-emp-inc,132576, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1887,45, United-States, >50K.\n51, ?,123429, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Self-emp-inc,147098, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,2444,60, United-States, >50K.\n44, Private,30424, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,1980,40, United-States, <=50K.\n50, Private,68898, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Private,158864, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K.\n27, Federal-gov,180103, Assoc-voc,11, Never-married, Tech-support, Unmarried, Black, Male,1151,0,40, United-States, <=50K.\n52, Private,317625, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n30, Private,80933, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,107373, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, >50K.\n32, Self-emp-not-inc,220148, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-inc,63503, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, Greece, >50K.\n63, Private,210350, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,32, Mexico, <=50K.\n60, Private,194589, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n55, Private,200453, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n77, Self-emp-not-inc,101575, 12th,8, Divorced, Transport-moving, Not-in-family, White, Male,0,0,12, United-States, <=50K.\n55, Private,201232, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n51, Private,168553, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K.\n35, Private,166606, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n26, ?,104756, HS-grad,9, Married-AF-spouse, ?, Wife, White, Female,0,1651,42, United-States, <=50K.\n33, Private,106014, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,100882, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,47, United-States, >50K.\n52, State-gov,108836, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, >50K.\n50, Private,271493, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Local-gov,204629, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, Canada, >50K.\n24, Private,153078, Bachelors,13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n44, Private,148316, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,293485, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,32, United-States, <=50K.\n61, Local-gov,257105, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n60, Private,248160, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n18, ?,104704, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,25, United-States, <=50K.\n47, Private,209057, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, >50K.\n30, Federal-gov,243233, Some-college,10, Married-civ-spouse, Armed-Forces, Husband, White, Male,0,0,48, United-States, >50K.\n44, Private,204314, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,38, United-States, >50K.\n60, Private,108969, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n44, Private,103397, HS-grad,9, Divorced, Handlers-cleaners, Other-relative, White, Female,0,0,40, United-States, <=50K.\n33, Private,198452, Bachelors,13, Separated, Tech-support, Unmarried, White, Female,5455,0,40, United-States, <=50K.\n38, Private,216572, HS-grad,9, Separated, Priv-house-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n42, Private,311920, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1485,17, United-States, >50K.\n45, Self-emp-inc,363298, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,45, United-States, >50K.\n40, Private,146906, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n40, Private,339814, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n60, Private,169408, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K.\n40, Self-emp-not-inc,308296, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, Private,59380, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,195634, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,10520,0,20, United-States, >50K.\n31, Federal-gov,180656, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K.\n19, Private,144793, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Local-gov,56820, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n51, Private,41414, 9th,5, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n28, Self-emp-not-inc,160731, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n31, Private,175778, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,230238, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,46, United-States, <=50K.\n39, State-gov,372130, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,5013,0,56, United-States, <=50K.\n27, Private,167501, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K.\n39, Private,141029, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n45, Private,135525, Masters,14, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n21, Private,522881, Assoc-voc,11, Never-married, Exec-managerial, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n67, Private,162009, 10th,6, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,16, United-States, <=50K.\n28, Private,365745, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,68393, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,46, United-States, <=50K.\n48, Private,203576, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n24, State-gov,138513, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n66, ?,188686, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,4, United-States, <=50K.\n23, Private,39551, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n17, Private,127366, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n21, Private,183747, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n30, Private,136331, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,81794, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n40, Private,222596, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n39, Private,108943, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, Private,189092, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K.\n33, Private,152109, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n36, Private,195565, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n53, Private,255927, Bachelors,13, Widowed, Adm-clerical, Unmarried, White, Female,0,0,52, United-States, <=50K.\n32, Private,100734, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n52, Local-gov,266433, Some-college,10, Widowed, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n31, Private,158672, 11th,7, Separated, Other-service, Not-in-family, White, Male,0,0,38, Puerto-Rico, <=50K.\n35, Private,102268, 12th,8, Divorced, Protective-serv, Other-relative, White, Male,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,228399, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n28, Private,298510, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n75, Self-emp-inc,126225, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,228456, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n22, Self-emp-inc,437161, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n43, Federal-gov,183608, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n40, Local-gov,174395, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n29, Private,221366, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,421010, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n44, Private,245333, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n33, Local-gov,352277, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,3103,0,45, United-States, >50K.\n38, Private,29874, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,48, United-States, >50K.\n29, Private,77322, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n34, Private,260560, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K.\n27, Self-emp-inc,217848, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,283731, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, State-gov,190759, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n59, State-gov,109567, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n19, Self-emp-not-inc,209826, Some-college,10, Never-married, Farming-fishing, Own-child, White, Female,0,0,32, United-States, <=50K.\n27, Private,232801, 10th,6, Divorced, Machine-op-inspct, Other-relative, White, Female,0,0,40, United-States, <=50K.\n41, Private,154374, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K.\n35, Self-emp-inc,126738, Assoc-acdm,12, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K.\n26, Private,202156, HS-grad,9, Married-civ-spouse, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K.\n32, Private,195447, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n23, ?,113301, 11th,7, Separated, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n23, Private,189203, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n21, Private,223019, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K.\n58, Private,195878, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,24, Cuba, <=50K.\n58, Private,163150, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,28, United-States, <=50K.\n19, Self-emp-not-inc,139278, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K.\n29, Private,196494, Some-college,10, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,36, United-States, <=50K.\n25, Federal-gov,303704, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,304082, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Peru, <=50K.\n18, Private,106943, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K.\n23, Private,220993, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n52, Private,83984, Some-college,10, Married-civ-spouse, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n23, State-gov,340605, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,12, United-States, <=50K.\n18, Private,379710, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n39, Private,145933, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,55, United-States, >50K.\n34, Self-emp-not-inc,208068, 9th,5, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Guatemala, <=50K.\n39, Private,172718, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n30, Private,53285, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,139793, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,3418,0,38, United-States, <=50K.\n68, ?,365350, 5th-6th,3, Married-spouse-absent, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n32, Private,144064, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K.\n29, Private,182676, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,38, Mexico, <=50K.\n29, Private,108574, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n31, Self-emp-not-inc,163845, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n25, Private,344804, 5th-6th,3, Married-spouse-absent, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n30, State-gov,252818, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n56, Local-gov,114231, 10th,6, Widowed, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K.\n42, Private,111895, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K.\n52, Private,128814, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K.\n37, Private,168941, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n27, Private,212578, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,1721,20, United-States, <=50K.\n32, ?,251120, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n19, Private,192773, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K.\n37, State-gov,180667, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,186172, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n33, Private,309590, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K.\n40, Private,34178, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, >50K.\n44, Private,103759, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n34, State-gov,137900, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, >50K.\n60, Private,223911, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n48, Private,55720, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,2407,0,40, United-States, <=50K.\n39, Private,123535, 11th,7, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, Guatemala, <=50K.\n24, Private,479296, 9th,5, Never-married, Sales, Own-child, White, Male,0,0,48, United-States, <=50K.\n65, ?,263125, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,2290,0,27, United-States, <=50K.\n63, ?,174817, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K.\n28, Private,134890, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,183887, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1902,46, United-States, >50K.\n28, Private,55360, HS-grad,9, Never-married, Sales, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n34, Private,113211, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K.\n25, Private,224203, 11th,7, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K.\n74, ?,132112, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,48, United-States, <=50K.\n28, Private,113635, 12th,8, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,52262, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Local-gov,202300, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n19, Private,307761, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K.\n48, Private,324655, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n60, Private,23336, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n26, Private,206199, 11th,7, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n38, Federal-gov,365430, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n53, Private,42740, Some-college,10, Separated, Other-service, Own-child, White, Female,0,0,39, United-States, <=50K.\n30, Private,160594, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Self-emp-inc,202069, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,30, United-States, <=50K.\n22, ?,142875, 10th,6, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,60414, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, >50K.\n42, Private,340885, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n22, Private,194096, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n27, State-gov,222506, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,60, United-States, <=50K.\n44, Private,55191, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n58, Private,88572, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n28, Private,216757, Doctorate,16, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K.\n48, Private,57534, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n43, ?,96321, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n41, Self-emp-not-inc,201908, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Local-gov,237868, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,285570, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,187625, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K.\n24, Private,376755, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n56, Local-gov,137078, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,175943, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n27, Private,211208, 11th,7, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,105821, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,36, United-States, <=50K.\n49, Private,205694, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, Canada, <=50K.\n39, Private,148485, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Private,142264, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,125892, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n66, Private,250226, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n19, Private,300679, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K.\n18, Private,112626, Some-college,10, Never-married, Priv-house-serv, Own-child, White, Female,0,0,15, United-States, <=50K.\n47, Private,153883, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7688,0,45, United-States, >50K.\n48, Private,103648, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,41, United-States, <=50K.\n26, State-gov,162487, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, ?, <=50K.\n49, Local-gov,331650, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,9562,0,32, United-States, >50K.\n50, Self-emp-inc,171338, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K.\n47, Self-emp-not-inc,178319, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,42, United-States, >50K.\n30, Private,217460, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,182653, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n70, ?,152837, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,20, United-States, <=50K.\n47, Private,459189, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,87858, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, >50K.\n32, Private,125279, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,99, United-States, <=50K.\n39, Self-emp-not-inc,169542, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K.\n47, Private,363418, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, England, >50K.\n42, Private,198282, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,104620, Masters,14, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,15, United-States, <=50K.\n29, Private,176137, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n27, ?,168347, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n40, Private,191814, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K.\n42, Local-gov,150533, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,7688,0,35, United-States, >50K.\n28, Private,115677, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1902,40, United-States, >50K.\n19, Private,182590, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n30, Private,239648, Some-college,10, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Male,0,0,40, Cambodia, <=50K.\n71, Private,139031, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Federal-gov,141340, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n64, Private,170645, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2105,0,40, United-States, <=50K.\n44, Local-gov,241506, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K.\n72, Private,163921, Some-college,10, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n64, Self-emp-not-inc,104958, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K.\n51, Private,144284, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,181139, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n55, Private,209962, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K.\n34, Private,87218, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n36, Private,182189, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,196337, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K.\n25, Private,238605, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n40, Private,106501, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,2829,0,50, United-States, <=50K.\n24, Private,172169, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K.\n39, Private,242922, HS-grad,9, Never-married, Tech-support, Not-in-family, Black, Male,0,0,35, United-States, <=50K.\n56, Private,257555, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,192302, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n38, Self-emp-inc,115487, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n22, Private,70160, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,410351, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K.\n25, Private,236421, 12th,8, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n36, Private,196662, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, Puerto-Rico, <=50K.\n50, Self-emp-not-inc,203004, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,99999,0,60, United-States, >50K.\n22, Private,200819, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,222866, 10th,6, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, United-States, <=50K.\n20, Private,204160, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K.\n54, Private,141707, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K.\n32, Private,123157, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, ?, <=50K.\n28, Private,219863, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n44, ?,29841, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,50, United-States, <=50K.\n59, Private,35723, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,99999,0,40, United-States, >50K.\n52, Private,163948, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K.\n19, ?,255117, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n39, Private,100032, HS-grad,9, Married-civ-spouse, Protective-serv, Wife, White, Female,0,0,15, United-States, >50K.\n22, Private,33087, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n24, ?,324469, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n57, Private,337001, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n18, Private,151747, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Local-gov,85057, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, >50K.\n25, Private,257910, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n37, Private,94331, 12th,8, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Private,250261, 1st-4th,2, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,55, Mexico, <=50K.\n32, Private,97359, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n53, State-gov,121294, 7th-8th,4, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,45, Poland, <=50K.\n49, Self-emp-inc,211020, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n34, ?,165295, 7th-8th,4, Separated, ?, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n65, Self-emp-inc,116057, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,6723,0,40, United-States, <=50K.\n52, Private,469005, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n30, Local-gov,197886, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,379917, Assoc-voc,11, Never-married, Transport-moving, Not-in-family, White, Male,0,0,32, United-States, <=50K.\n28, Private,30912, Assoc-acdm,12, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,206889, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,87490, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K.\n40, Local-gov,241851, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n42, Private,155899, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n25, Federal-gov,253135, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, ?, <=50K.\n77, Local-gov,120408, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,20, United-States, <=50K.\n64, Private,77884, Assoc-voc,11, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n43, Private,162887, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K.\n30, Private,154843, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, India, <=50K.\n43, Local-gov,115511, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2002,40, United-States, <=50K.\n40, Private,121492, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,48, United-States, <=50K.\n31, Private,103596, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n25, Private,457070, 7th-8th,4, Divorced, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K.\n19, Private,73461, HS-grad,9, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,153078, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,1887,70, South, >50K.\n51, Private,194788, 10th,6, Divorced, Adm-clerical, Other-relative, White, Female,0,0,30, United-States, <=50K.\n31, Self-emp-not-inc,203181, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n35, Private,230279, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n52, Private,89041, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n41, State-gov,92717, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,1504,40, United-States, <=50K.\n27, Private,257033, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,60, United-States, <=50K.\n40, Private,145166, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4064,0,40, United-States, <=50K.\n38, Private,20308, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n34, ?,203784, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,38353, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,133373, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, >50K.\n60, ?,167978, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Private,166302, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n17, Private,333304, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n31, Local-gov,265706, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,4650,0,40, United-States, <=50K.\n65, Self-emp-not-inc,111916, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, >50K.\n62, State-gov,213700, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n39, Private,276559, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,2444,45, United-States, >50K.\n36, Private,36989, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Private,181566, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4508,0,40, United-States, <=50K.\n23, Private,202920, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Germany, <=50K.\n32, Self-emp-not-inc,24529, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K.\n22, Private,137320, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n66, ?,106791, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,160510, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K.\n34, ?,112584, HS-grad,9, Separated, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n19, Private,233779, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n54, State-gov,276005, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n36, Self-emp-inc,192251, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,1902,15, United-States, >50K.\n70, ?,308689, 5th-6th,3, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, Cuba, <=50K.\n50, Private,274528, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n17, Private,23856, 11th,7, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K.\n53, Private,175220, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,7688,0,48, Taiwan, >50K.\n41, Self-emp-not-inc,233150, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n26, Private,153169, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Federal-gov,298449, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,43, United-States, <=50K.\n17, Private,188949, 11th,7, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,157911, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n33, Private,243330, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K.\n40, Private,271343, Some-college,10, Separated, Tech-support, Own-child, White, Female,0,0,32, United-States, <=50K.\n48, Private,45564, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Male,4650,0,50, United-States, <=50K.\n47, Private,262043, Bachelors,13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,103323, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Self-emp-not-inc,96480, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, >50K.\n47, Private,154117, HS-grad,9, Separated, Craft-repair, Other-relative, White, Female,0,0,40, United-States, <=50K.\n41, Private,151856, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,132053, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,1719,40, United-States, <=50K.\n29, Private,199118, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Guatemala, <=50K.\n36, Self-emp-not-inc,119272, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K.\n18, Private,209792, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Private,185084, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, >50K.\n41, Private,230931, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K.\n23, Private,162282, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,185366, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K.\n46, Private,93557, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,160428, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, <=50K.\n53, Private,159650, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Local-gov,137678, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n48, Self-emp-not-inc,56841, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,33124, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n31, Private,219117, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,5455,0,60, United-States, <=50K.\n43, Private,208045, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n43, Private,128578, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,60, United-States, >50K.\n28, Private,351731, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K.\n46, Private,201694, Assoc-acdm,12, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,205152, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n73, ?,30713, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n25, Private,190107, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n23, Federal-gov,244480, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,15, United-States, <=50K.\n32, Private,347112, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n37, Federal-gov,106297, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n36, Private,128516, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n27, Private,55950, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n29, Private,324505, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,130760, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Local-gov,174413, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1974,40, United-States, <=50K.\n29, ?,20877, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,35, United-States, <=50K.\n22, Private,144238, 11th,7, Never-married, Farming-fishing, Own-child, White, Female,0,0,38, United-States, <=50K.\n47, Private,193047, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n43, Private,300099, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n65, ?,369902, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n56, Self-emp-not-inc,42166, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Private,171924, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Canada, >50K.\n50, Private,201984, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K.\n29, Private,306420, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n32, Self-emp-not-inc,46746, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K.\n37, Private,185325, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K.\n30, Private,201697, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,181372, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n39, Private,112077, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,370057, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,72591, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Local-gov,105803, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,198478, HS-grad,9, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, United-States, <=50K.\n33, Private,119017, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K.\n42, Private,138872, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, <=50K.\n56, Federal-gov,97213, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n40, Private,36556, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K.\n38, State-gov,200904, 10th,6, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n49, Private,186256, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,30, United-States, <=50K.\n18, Private,115815, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, England, <=50K.\n42, Private,308770, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K.\n25, Local-gov,187792, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,233571, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,1902,40, United-States, >50K.\n26, Private,131913, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n26, Private,31558, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,90, United-States, >50K.\n33, Private,255004, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,2354,0,61, United-States, <=50K.\n25, Local-gov,315287, Some-college,10, Never-married, Protective-serv, Other-relative, Black, Male,0,0,40, Trinadad&Tobago, <=50K.\n18, Private,182545, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n59, Private,750972, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n69, Self-emp-not-inc,505365, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,6514,0,45, United-States, >50K.\n22, Local-gov,177475, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,203761, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,36104, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-inc,179708, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Self-emp-inc,77392, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K.\n73, ?,86709, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,38, United-States, <=50K.\n59, Local-gov,173992, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K.\n20, Private,119665, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Private,188391, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,46, United-States, <=50K.\n51, Private,326005, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, England, >50K.\n24, Private,203203, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n59, Private,64102, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,169188, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,35, United-States, <=50K.\n45, Private,385793, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K.\n25, Private,390537, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,25, El-Salvador, <=50K.\n29, Private,115677, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,42, United-States, <=50K.\n22, Private,230248, Assoc-acdm,12, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n66, ?,59056, 10th,6, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n72, Private,108038, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, Cuba, >50K.\n39, Local-gov,282461, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,184659, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K.\n65, Private,182470, Assoc-voc,11, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n63, Private,458609, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,3674,0,30, United-States, <=50K.\n58, Private,104476, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,1092,40, United-States, <=50K.\n27, Private,200802, Assoc-voc,11, Separated, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n58, Private,170608, 10th,6, Separated, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n52, Private,197322, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,118358, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n21, ?,520231, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n61, Self-emp-not-inc,198017, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, ?, <=50K.\n29, Private,131045, Assoc-voc,11, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n19, ?,272166, Some-college,10, Never-married, ?, Own-child, White, Male,0,1602,30, United-States, <=50K.\n30, Private,110083, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,335569, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,167159, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n50, Private,170326, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,319052, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Wife, Asian-Pac-Islander, Female,0,0,37, Philippines, <=50K.\n57, Private,174662, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,110732, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,50, United-States, <=50K.\n27, Federal-gov,409815, Some-college,10, Divorced, Adm-clerical, Other-relative, Black, Female,0,0,50, United-States, <=50K.\n28, Private,79874, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K.\n49, Private,116641, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,35, United-States, >50K.\n33, Private,87209, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n64, Local-gov,152172, 10th,6, Married-civ-spouse, Machine-op-inspct, Wife, White, Male,0,0,40, ?, <=50K.\n46, Self-emp-not-inc,142222, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,1151,0,60, United-States, <=50K.\n50, Local-gov,120521, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,50, United-States, >50K.\n43, Self-emp-not-inc,247752, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n26, Private,34161, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n33, Private,589155, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n50, Private,149784, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,402522, 1st-4th,2, Divorced, Farming-fishing, Unmarried, White, Male,0,0,40, Thailand, <=50K.\n28, Private,228346, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n21, Private,415755, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,289653, Bachelors,13, Divorced, Sales, Unmarried, White, Male,0,0,45, United-States, >50K.\n17, Private,165018, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K.\n19, Private,322866, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,244813, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K.\n27, Private,538193, 11th,7, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,50, United-States, <=50K.\n45, Private,256367, 12th,8, Divorced, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n46, Private,95864, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n57, Self-emp-not-inc,291167, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,126569, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Poland, <=50K.\n34, Private,128016, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999,0,40, United-States, >50K.\n18, ?,323584, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,10, United-States, <=50K.\n65, ?,115431, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K.\n26, Private,246156, 10th,6, Never-married, Craft-repair, Other-relative, White, Male,0,0,24, Honduras, <=50K.\n44, Private,346081, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n38, Local-gov,156383, Some-college,10, Never-married, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n49, Private,151267, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n41, Local-gov,249039, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n52, Federal-gov,157454, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,143540, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n72, State-gov,120733, 7th-8th,4, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n48, Private,344381, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,42, United-States, >50K.\n32, Private,149787, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,268525, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n24, Private,396099, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n24, Private,221442, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n55, Private,115198, 9th,5, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,48, United-States, <=50K.\n48, Federal-gov,102359, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Local-gov,298885, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K.\n34, Private,93213, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K.\n40, Private,130760, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, <=50K.\n29, ?,236834, Some-college,10, Divorced, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n39, Self-emp-inc,31709, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K.\n45, Private,192053, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n21, Private,95918, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,43, Germany, <=50K.\n36, Self-emp-inc,132879, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,1887,40, United-States, >50K.\n28, Private,64940, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K.\n57, Private,106910, HS-grad,9, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n22, Private,210474, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Local-gov,393965, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n23, Local-gov,117789, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n35, Self-emp-not-inc,134498, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, >50K.\n28, Private,212068, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1980,40, United-States, <=50K.\n27, Private,169544, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n76, ?,32995, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,5, United-States, <=50K.\n37, Private,261241, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,1485,50, United-States, <=50K.\n43, Private,145784, HS-grad,9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K.\n33, Private,252646, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n56, Private,161944, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Self-emp-inc,249644, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n35, Private,195081, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n36, Private,428251, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n59, Self-emp-not-inc,198145, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n42, Private,348059, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n21, Private,43587, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n24, Private,318612, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,1504,40, United-States, <=50K.\n17, ?,235661, 10th,6, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n29, Private,129528, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n61, Private,200427, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,188243, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,48, United-States, <=50K.\n56, Self-emp-not-inc,306633, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,85019, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K.\n22, ?,356286, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,10, United-States, <=50K.\n45, Private,102771, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n40, Local-gov,34739, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,36, United-States, <=50K.\n22, ?,201959, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K.\n28, Private,126743, 5th-6th,3, Never-married, Other-service, Other-relative, White, Male,2176,0,52, Mexico, <=50K.\n46, Local-gov,85341, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,56, United-States, <=50K.\n57, Private,275943, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,82823, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,5013,0,30, United-States, <=50K.\n30, Private,183388, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n21, Private,116489, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n62, Self-emp-not-inc,215789, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K.\n19, Private,365871, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,32, United-States, <=50K.\n63, Local-gov,199275, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,8614,0,38, United-States, >50K.\n39, Self-emp-not-inc,34111, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n72, ?,314567, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n40, Self-emp-inc,102576, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,55, Trinadad&Tobago, <=50K.\n27, Private,103524, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,35, United-States, <=50K.\n47, Self-emp-not-inc,114222, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K.\n28, Private,246933, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Private,107812, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Self-emp-not-inc,109162, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K.\n59, Private,112798, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K.\n33, Private,30612, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,105994, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n57, Private,113090, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,26252, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n31, Private,49469, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K.\n24, Private,172169, Some-college,10, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,30, United-States, <=50K.\n36, Private,151029, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K.\n46, Private,134242, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, State-gov,87282, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n19, Private,84250, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K.\n33, Private,76107, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,60, United-States, >50K.\n59, Self-emp-inc,36085, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K.\n32, Private,220333, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,46, United-States, >50K.\n58, Private,105363, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Portugal, <=50K.\n19, Private,198668, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,47, United-States, <=50K.\n43, Private,157473, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Private,126568, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n56, Self-emp-inc,220896, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n57, Federal-gov,236048, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n42, Private,34218, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,99999,0,80, United-States, >50K.\n62, Private,155915, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,139684, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n34, Private,23778, Bachelors,13, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n24, Private,236804, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n78, Private,454321, 1st-4th,2, Widowed, Handlers-cleaners, Other-relative, White, Male,0,0,20, Nicaragua, <=50K.\n43, Private,229148, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,50, Outlying-US(Guam-USVI-etc), <=50K.\n60, Local-gov,119986, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Local-gov,455399, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,15024,0,40, United-States, >50K.\n21, Private,301694, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, Mexico, <=50K.\n64, ?,155142, HS-grad,9, Widowed, ?, Not-in-family, Black, Male,0,0,20, United-States, <=50K.\n27, Private,259652, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, State-gov,156642, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,39, United-States, <=50K.\n37, Private,94208, 1st-4th,2, Divorced, Other-service, Unmarried, White, Female,0,0,35, Mexico, <=50K.\n31, Private,117719, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Portugal, <=50K.\n27, Local-gov,100817, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n31, Private,144990, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n37, Self-emp-inc,198841, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n43, Private,223881, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, United-States, >50K.\n18, Private,264017, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,16, Canada, <=50K.\n23, State-gov,26842, Assoc-voc,11, Married-AF-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K.\n40, Private,477345, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2057,40, Mexico, <=50K.\n22, Private,267412, Preschool,1, Never-married, Other-service, Own-child, Black, Female,594,0,20, Jamaica, <=50K.\n61, Self-emp-inc,190610, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n63, Private,281237, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n59, Private,254593, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n33, Private,159187, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,54, United-States, >50K.\n51, State-gov,200450, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n38, Local-gov,140854, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,242517, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,40, United-States, >50K.\n47, Self-emp-not-inc,294671, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n20, State-gov,68358, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n53, Private,107096, Bachelors,13, Never-married, Sales, Unmarried, White, Male,0,1669,50, United-States, <=50K.\n43, Private,244419, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n26, Self-emp-not-inc,195636, 10th,6, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,75, United-States, >50K.\n39, Private,368586, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Female,0,0,37, Puerto-Rico, <=50K.\n30, Private,215808, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n45, Private,165822, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n25, Private,193379, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Private,120121, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n25, Local-gov,311603, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n48, Private,323798, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,38, United-States, >50K.\n32, Private,253890, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n67, ?,105252, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K.\n37, Private,220696, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,194097, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K.\n28, Private,181291, Some-college,10, Married-civ-spouse, Other-service, Own-child, White, Female,7688,0,40, United-States, >50K.\n28, Private,258594, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n28, Private,138976, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,48, United-States, <=50K.\n22, Private,81145, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, Private,250853, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, ?,365739, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, Private,257863, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n27, Private,203697, Masters,14, Never-married, Tech-support, Own-child, White, Male,0,0,50, United-States, <=50K.\n54, Private,87205, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n66, Self-emp-not-inc,195161, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, ?, <=50K.\n41, Private,470486, 1st-4th,2, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,1719,40, Mexico, <=50K.\n46, Local-gov,93557, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,50, United-States, >50K.\n39, Private,107991, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n51, Private,63081, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n26, Private,73988, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,136080, HS-grad,9, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n38, State-gov,49115, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,27, United-States, <=50K.\n30, Private,314649, HS-grad,9, Married-spouse-absent, Farming-fishing, Unmarried, Asian-Pac-Islander, Male,0,0,40, ?, <=50K.\n18, Private,166224, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n44, ?,118484, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,80, United-States, <=50K.\n56, Local-gov,291529, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n41, Self-emp-not-inc,252392, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,96, Mexico, <=50K.\n42, Private,86912, Bachelors,13, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Private,193537, 9th,5, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,50, Puerto-Rico, <=50K.\n33, Private,83231, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n43, Private,325461, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n21, Private,36011, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Private,274869, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, Private,178322, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K.\n38, Private,67666, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,38, United-States, <=50K.\n33, Private,153005, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,138269, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n33, Private,265204, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n43, Private,437318, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,208109, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K.\n50, Self-emp-not-inc,91103, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,51, United-States, >50K.\n57, State-gov,388225, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n76, Self-emp-not-inc,42162, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,2, United-States, <=50K.\n52, Self-emp-not-inc,417227, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n36, State-gov,180220, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n30, Private,187560, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n39, Private,127573, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,2202,0,45, United-States, <=50K.\n51, Federal-gov,68898, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,78662, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n56, Private,158776, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n28, Private,164575, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,328301, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n49, Private,213897, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,50, Japan, >50K.\n40, Private,230684, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,381679, Some-college,10, Never-married, Tech-support, Other-relative, White, Female,0,0,40, United-States, <=50K.\n44, Local-gov,360884, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n36, State-gov,256992, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n31, Private,112115, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Private,113577, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,189382, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n45, Private,201080, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n46, Private,344415, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n57, Private,201232, HS-grad,9, Married-civ-spouse, Priv-house-serv, Husband, White, Male,0,0,30, United-States, <=50K.\n20, Private,332194, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,20, United-States, <=50K.\n30, Private,216864, 9th,5, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n60, Private,290922, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,27, United-States, <=50K.\n42, Local-gov,223548, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,109419, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,8614,0,45, United-States, >50K.\n27, Private,135296, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n59, State-gov,100270, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n18, Private,99497, 12th,8, Never-married, Other-service, Own-child, Other, Female,0,0,30, United-States, <=50K.\n26, ?,223665, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,84, United-States, <=50K.\n48, Self-emp-inc,341762, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,236483, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n20, ?,311570, HS-grad,9, Married-civ-spouse, ?, Other-relative, White, Female,0,0,32, United-States, <=50K.\n36, Private,588739, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, India, <=50K.\n44, Self-emp-inc,79521, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024,0,55, United-States, >50K.\n36, Private,327435, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n32, Private,229636, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013,0,60, United-States, <=50K.\n26, Private,124483, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,25, India, <=50K.\n58, Private,218764, Assoc-voc,11, Widowed, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K.\n39, State-gov,178100, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, ?,197057, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,30, United-States, <=50K.\n39, Private,191161, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,55, United-States, <=50K.\n65, Private,266828, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,1848,0,40, United-States, <=50K.\n29, Private,251526, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,20, United-States, <=50K.\n22, ?,145964, HS-grad,9, Never-married, ?, Unmarried, White, Male,0,0,40, United-States, <=50K.\n23, Private,307149, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K.\n36, Private,37238, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n32, Private,129020, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,209432, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n38, Private,139364, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K.\n25, Federal-gov,169124, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,116391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,176025, HS-grad,9, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n66, Self-emp-not-inc,44712, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,15, United-States, <=50K.\n35, Self-emp-not-inc,190759, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, Private,185692, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K.\n17, Private,80576, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K.\n31, Private,282173, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n20, Private,187158, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n25, Private,214468, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n59, Self-emp-not-inc,185410, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K.\n37, Private,87757, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n42, Private,449578, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n31, Private,309028, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,155293, 12th,8, Divorced, Sales, Not-in-family, White, Female,0,1762,45, United-States, <=50K.\n46, Private,32825, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n36, Private,216845, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K.\n45, State-gov,149640, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, >50K.\n19, State-gov,140985, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n38, Private,218188, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n27, State-gov,187327, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n33, Private,182511, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n55, Self-emp-not-inc,157639, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,58, United-States, <=50K.\n46, Local-gov,258498, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, Private,87632, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,228394, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,36, United-States, <=50K.\n59, State-gov,200732, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, Philippines, >50K.\n36, Private,49657, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n27, Local-gov,106179, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n21, Private,135267, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n65, ?,486436, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, >50K.\n29, Private,69757, Bachelors,13, Divorced, Exec-managerial, Other-relative, White, Female,0,0,50, United-States, <=50K.\n53, Private,190319, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,1485,40, Thailand, >50K.\n20, Private,188409, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n54, Private,181246, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,103573, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,180725, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K.\n26, State-gov,34862, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,38, ?, <=50K.\n55, Self-emp-inc,275236, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K.\n40, Self-emp-not-inc,76487, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n37, Federal-gov,75073, Assoc-acdm,12, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,42, United-States, <=50K.\n23, Private,231929, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Private,186410, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n42, Self-emp-not-inc,344624, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,99, United-States, >50K.\n66, Private,97847, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K.\n30, Private,387521, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K.\n25, ?,193511, Bachelors,13, Never-married, ?, Own-child, White, Female,0,0,35, El-Salvador, <=50K.\n20, Private,325033, 12th,8, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, >50K.\n37, Private,285637, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,50, United-States, <=50K.\n20, Private,186014, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n27, Private,203160, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n20, ?,190290, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K.\n33, Private,219553, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n53, Private,290882, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n54, Private,133403, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1902,35, United-States, <=50K.\n33, Private,150154, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,203076, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,158592, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, Federal-gov,215115, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K.\n20, Private,117476, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,159269, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K.\n24, Private,189924, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Female,0,0,60, United-States, <=50K.\n32, Local-gov,226296, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n38, Private,103886, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Federal-gov,148508, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,79586, Some-college,10, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,35, India, >50K.\n40, ?,95049, Assoc-voc,11, Separated, ?, Own-child, White, Female,0,0,40, ?, <=50K.\n45, Self-emp-inc,192835, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n21, Private,316184, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n49, Private,132476, Doctorate,16, Divorced, Tech-support, Unmarried, White, Male,7430,0,40, United-States, >50K.\n44, Private,76487, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,302712, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n42, Private,225193, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,102092, 11th,7, Widowed, Craft-repair, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n51, Private,173754, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,38238, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n41, Private,212027, 11th,7, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n25, Private,173593, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,75, United-States, <=50K.\n27, Local-gov,132718, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K.\n23, Private,103588, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Local-gov,75387, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,38444, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,10, United-States, <=50K.\n21, Private,35603, HS-grad,9, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,11, United-States, <=50K.\n24, Private,588484, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,594,0,40, United-States, <=50K.\n62, ?,191118, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n70, ?,88638, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,8, United-States, <=50K.\n61, Private,27086, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n63, Private,184319, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,24, United-States, <=50K.\n31, Private,307375, Some-college,10, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n17, Private,93511, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n23, Private,32950, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n40, Private,313945, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Local-gov,275517, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,72, United-States, <=50K.\n55, Private,132145, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n37, Self-emp-not-inc,377798, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n48, Private,198000, Bachelors,13, Never-married, Sales, Other-relative, White, Female,0,0,38, United-States, >50K.\n67, Private,166591, HS-grad,9, Divorced, Priv-house-serv, Unmarried, Black, Female,1848,0,99, United-States, <=50K.\n72, Self-emp-not-inc,117030, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Local-gov,275369, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n24, Private,300584, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n27, Local-gov,230997, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n32, Private,73199, 12th,8, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n61, Private,362068, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n34, Private,162604, HS-grad,9, Never-married, Craft-repair, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n40, Private,86143, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n39, Private,116477, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,102308, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,35, United-States, >50K.\n57, Self-emp-inc,199067, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,90, Greece, >50K.\n47, Private,205100, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n38, Private,127493, Assoc-acdm,12, Widowed, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K.\n77, Self-emp-not-inc,34761, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,221480, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,0,0,8, United-States, <=50K.\n37, Self-emp-not-inc,216473, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n43, Self-emp-inc,147206, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,27828,0,45, United-States, >50K.\n50, Private,162868, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n68, Self-emp-not-inc,335701, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n55, Private,250322, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n52, Local-gov,182856, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,10520,0,45, United-States, >50K.\n24, Private,97743, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K.\n42, Private,227065, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n51, Private,59840, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n26, Private,140446, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, United-States, <=50K.\n32, Federal-gov,86150, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,1977,40, United-States, >50K.\n51, Private,147876, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n26, Private,219199, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,28497, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,8, United-States, <=50K.\n27, Private,405177, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n29, Private,320451, Bachelors,13, Married-spouse-absent, Sales, Other-relative, Asian-Pac-Islander, Male,0,0,40, ?, <=50K.\n71, Self-emp-not-inc,30661, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,6514,0,40, United-States, >50K.\n30, Local-gov,38268, HS-grad,9, Separated, Other-service, Unmarried, White, Male,0,0,40, United-States, >50K.\n42, Private,199900, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K.\n39, Self-emp-inc,172538, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n17, Private,194517, 11th,7, Never-married, Farming-fishing, Own-child, White, Female,0,0,18, United-States, <=50K.\n20, Private,129024, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n37, Private,203828, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K.\n40, Private,146659, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Private,29261, Assoc-acdm,12, Never-married, Other-service, Other-relative, White, Male,0,0,42, United-States, <=50K.\n19, Private,366109, 10th,6, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K.\n29, Private,212091, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,202872, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,36, United-States, >50K.\n31, Private,373903, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,289403, HS-grad,9, Divorced, Tech-support, Not-in-family, Black, Male,0,0,40, ?, <=50K.\n21, Private,60552, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n46, Private,188325, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K.\n21, ?,398480, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n37, Federal-gov,254202, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,27828,0,50, United-States, >50K.\n41, Self-emp-inc,277858, Bachelors,13, Widowed, Exec-managerial, Not-in-family, Black, Female,0,0,45, United-States, <=50K.\n50, Private,102346, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,36, ?, <=50K.\n34, Private,226629, 12th,8, Separated, Sales, Unmarried, White, Female,0,0,34, United-States, <=50K.\n47, Private,219632, 1st-4th,2, Widowed, Machine-op-inspct, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n21, Private,449101, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n49, Private,330535, Doctorate,16, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, >50K.\n38, Private,202937, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n43, Federal-gov,269733, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n40, Self-emp-not-inc,355856, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n48, Self-emp-inc,275100, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, Greece, >50K.\n30, State-gov,136997, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, Private,136931, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,38, Thailand, <=50K.\n31, ?,346736, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,45, United-States, <=50K.\n30, Local-gov,264936, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n37, Private,269722, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,38, United-States, <=50K.\n28, Private,251905, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n57, Private,180636, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,116915, Some-college,10, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,182516, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n49, Local-gov,199862, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2179,40, United-States, <=50K.\n44, Private,127482, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,7688,0,40, United-States, >50K.\n44, Private,142968, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n18, Private,115258, 10th,6, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n45, Private,190822, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,31, United-States, <=50K.\n50, Local-gov,68898, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n17, Self-emp-inc,151999, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K.\n28, Self-emp-not-inc,236471, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Local-gov,29075, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,5013,0,40, United-States, <=50K.\n43, State-gov,186990, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,37, United-States, <=50K.\n48, Private,210369, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n57, ?,179644, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,5, United-States, <=50K.\n28, Private,119128, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,188386, HS-grad,9, Divorced, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Private,120645, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K.\n58, Local-gov,303176, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,358434, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n57, Private,36091, HS-grad,9, Separated, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n48, Private,250648, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n49, Private,131918, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K.\n40, Self-emp-not-inc,151504, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n41, Private,161880, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,50, United-States, <=50K.\n45, Private,123681, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,94090, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n22, ?,129980, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n50, Private,237258, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,27828,0,48, United-States, >50K.\n65, Self-emp-not-inc,147377, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,16, United-States, <=50K.\n36, Federal-gov,253627, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Puerto-Rico, >50K.\n63, ?,528618, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,27881, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n28, Private,79874, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, Private,156981, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n46, Local-gov,195418, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K.\n37, Private,175185, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,273796, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K.\n37, State-gov,373699, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n31, Private,82508, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,162551, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Hong, <=50K.\n24, Private,166297, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,25, United-States, <=50K.\n25, Local-gov,100125, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,175690, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n45, Private,184441, 7th-8th,4, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,42, United-States, <=50K.\n28, Self-emp-inc,167737, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,5178,0,40, United-States, >50K.\n58, Private,186121, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,177851, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n35, Private,106961, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n54, Private,419712, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n40, Local-gov,208875, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n24, Private,373628, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,1504,40, United-States, <=50K.\n26, Private,331861, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, England, <=50K.\n29, Private,249948, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n50, Private,99316, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,252570, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K.\n17, Private,89160, 12th,8, Never-married, Priv-house-serv, Own-child, White, Female,0,0,18, United-States, <=50K.\n25, Private,49092, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,87757, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,806552, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n45, Self-emp-not-inc,70754, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,60, United-States, >50K.\n28, Private,150437, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n71, ?,46836, 7th-8th,4, Separated, ?, Not-in-family, Black, Male,0,0,15, United-States, <=50K.\n34, State-gov,117186, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n49, Private,239625, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,128483, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,60, United-States, <=50K.\n17, Private,53367, 12th,8, Never-married, Other-service, Other-relative, White, Female,0,0,25, United-States, <=50K.\n20, Private,358355, 9th,5, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n53, Private,139522, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,1573,40, Italy, <=50K.\n26, Private,93017, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,101320, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,1564,40, Canada, >50K.\n57, Self-emp-inc,105582, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,40, United-States, >50K.\n40, Private,121718, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, >50K.\n19, Private,111836, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,35, United-States, <=50K.\n58, Private,96840, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Female,0,0,37, United-States, <=50K.\n62, Local-gov,176839, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,10, United-States, <=50K.\n41, Local-gov,193553, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,64, United-States, >50K.\n46, Private,168232, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Self-emp-not-inc,146325, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Yugoslavia, >50K.\n33, Private,111567, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n58, Private,478354, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K.\n30, Private,209768, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,188909, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,321313, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n19, ?,264228, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,12, United-States, <=50K.\n22, Private,345066, 10th,6, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n56, Self-emp-not-inc,32855, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Self-emp-inc,287372, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n36, Private,214807, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, Local-gov,275110, Some-college,10, Married-civ-spouse, Protective-serv, Own-child, Black, Male,0,0,40, United-States, <=50K.\n32, Private,352089, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n33, State-gov,110171, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,1092,40, United-States, <=50K.\n20, Private,211391, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n51, Private,91506, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,40, United-States, >50K.\n52, Private,180949, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K.\n64, Self-emp-inc,169072, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Private,264554, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n38, Private,99065, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, >50K.\n30, Private,201122, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n67, Self-emp-inc,323636, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, Canada, <=50K.\n37, Local-gov,184112, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K.\n55, Private,243367, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,37, United-States, <=50K.\n25, State-gov,149248, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n41, Local-gov,248748, Bachelors,13, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n31, Private,242616, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n51, Private,207246, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1902,40, United-States, >50K.\n75, Self-emp-not-inc,343631, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,15, United-States, <=50K.\n53, Private,403121, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n36, Self-emp-not-inc,184435, 11th,7, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,181405, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K.\n67, Self-emp-not-inc,75140, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,25, United-States, <=50K.\n29, Self-emp-not-inc,467936, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, ?, <=50K.\n32, Self-emp-not-inc,181212, Some-college,10, Separated, Farming-fishing, Unmarried, White, Female,0,0,65, United-States, <=50K.\n42, Private,324421, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n41, Private,344624, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K.\n46, Private,98735, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K.\n48, Local-gov,186172, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n55, Federal-gov,107157, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n68, ?,353871, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,175958, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n62, Private,252134, 7th-8th,4, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, Cuba, <=50K.\n30, Private,95923, Assoc-acdm,12, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n56, Local-gov,203250, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,296212, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n22, Private,333838, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n56, Private,345730, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Federal-gov,128141, Bachelors,13, Separated, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n53, Private,249347, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, Cuba, >50K.\n51, Private,171914, 9th,5, Widowed, Craft-repair, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n41, Private,344519, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,13550,0,60, United-States, >50K.\n34, Self-emp-inc,196385, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Private,87546, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,85668, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,126613, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n28, Private,239753, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Private,162796, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n52, Federal-gov,197189, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,44, United-States, >50K.\n33, State-gov,25806, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,20, ?, <=50K.\n28, Private,89813, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, State-gov,142167, Masters,14, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, ?, <=50K.\n40, Private,171589, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n60, Private,203985, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,394191, 12th,8, Never-married, Transport-moving, Own-child, White, Male,0,0,55, Germany, <=50K.\n50, Private,155433, Bachelors,13, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Private,39581, Bachelors,13, Separated, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n19, Private,305834, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Self-emp-inc,200220, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n33, Private,229732, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Private,190333, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n51, Private,155983, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n44, Private,211351, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,4386,0,40, United-States, >50K.\n19, ?,505168, 9th,5, Never-married, ?, Other-relative, White, Female,0,0,40, United-States, <=50K.\n49, Private,256417, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,40, Mexico, <=50K.\n17, ?,165069, 10th,6, Never-married, ?, Own-child, White, Male,0,1721,40, United-States, <=50K.\n20, Private,249385, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,20, United-States, <=50K.\n53, Private,168723, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,165866, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n48, Private,48553, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,72, United-States, <=50K.\n27, Private,244751, HS-grad,9, Never-married, Adm-clerical, Own-child, Other, Male,0,0,40, United-States, <=50K.\n21, Private,228230, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K.\n29, Private,152951, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n47, State-gov,29023, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K.\n48, Self-emp-not-inc,136455, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,60, United-States, <=50K.\n38, ?,245372, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,75, United-States, >50K.\n19, ?,155863, Some-college,10, Never-married, ?, Own-child, White, Female,0,1602,30, United-States, <=50K.\n37, Private,126675, Some-college,10, Widowed, Machine-op-inspct, Other-relative, White, Male,0,0,40, ?, <=50K.\n37, Private,184659, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013,0,44, United-States, <=50K.\n39, Federal-gov,33289, HS-grad,9, Widowed, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K.\n35, Private,111377, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,103651, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n56, Private,53481, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,238917, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, El-Salvador, <=50K.\n25, Private,167495, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Federal-gov,114222, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, >50K.\n32, Private,182323, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n24, Private,137589, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K.\n32, Private,181091, Bachelors,13, Never-married, Sales, Own-child, White, Male,13550,0,35, United-States, >50K.\n41, Private,156580, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, Dominican-Republic, <=50K.\n32, Private,210926, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, >50K.\n37, Self-emp-not-inc,255503, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K.\n39, Private,116546, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n66, Self-emp-not-inc,34218, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n18, ?,305327, Some-college,10, Never-married, ?, Own-child, Other, Female,0,0,25, United-States, <=50K.\n23, Private,107882, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Private,858091, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n45, Private,79646, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n42, Private,103089, Some-college,10, Separated, Prof-specialty, Unmarried, White, Female,1506,0,40, United-States, <=50K.\n40, Self-emp-not-inc,145441, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,30, United-States, <=50K.\n20, State-gov,117210, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,379246, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,130018, 11th,7, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K.\n40, Private,121466, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n54, Private,339518, Assoc-acdm,12, Married-spouse-absent, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n33, Private,388672, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n56, Self-emp-not-inc,190091, Assoc-voc,11, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,46, United-States, <=50K.\n27, Private,197918, 11th,7, Never-married, Craft-repair, Unmarried, Black, Male,0,0,47, United-States, <=50K.\n31, Private,361497, 7th-8th,4, Never-married, Farming-fishing, Other-relative, White, Male,0,0,60, Portugal, <=50K.\n61, ?,451327, Bachelors,13, Married-civ-spouse, ?, Husband, Other, Male,0,0,24, United-States, >50K.\n22, Private,340217, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n32, Self-emp-not-inc,63516, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K.\n29, Private,269786, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Local-gov,63338, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n56, Private,179127, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Italy, <=50K.\n35, Private,124090, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, <=50K.\n25, Private,215188, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n22, Private,482082, 11th,7, Married-civ-spouse, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Mexico, <=50K.\n19, Private,234725, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Private,289890, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,232036, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Local-gov,195416, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n52, Private,22154, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,103734, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, >50K.\n32, Local-gov,32587, HS-grad,9, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n27, Private,190303, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,270488, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n31, Private,104509, Some-college,10, Separated, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K.\n47, Self-emp-not-inc,132589, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K.\n37, Private,112812, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,126441, Some-college,10, Married-spouse-absent, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-inc,123075, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n45, Private,207955, 5th-6th,3, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,40, Ecuador, <=50K.\n51, Private,43705, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,116968, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n59, Self-emp-not-inc,182142, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,74056, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K.\n33, Self-emp-not-inc,132565, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,256796, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K.\n62, Self-emp-inc,191520, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,80, United-States, >50K.\n37, Self-emp-not-inc,33394, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n45, Local-gov,45501, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n25, Private,74389, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n34, Private,201874, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,143804, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,55, United-States, <=50K.\n29, Local-gov,95471, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n32, Private,267458, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,70668, 10th,6, Never-married, Priv-house-serv, Other-relative, White, Female,0,0,40, United-States, <=50K.\n34, Local-gov,260782, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,52, United-States, >50K.\n50, Private,299215, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K.\n38, Private,99156, HS-grad,9, Divorced, Sales, Unmarried, White, Male,0,0,46, United-States, <=50K.\n52, Federal-gov,53905, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,94210, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,48, United-States, <=50K.\n31, Private,116508, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K.\n31, Private,176711, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Self-emp-not-inc,118058, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K.\n23, State-gov,89285, Some-college,10, Never-married, Protective-serv, Not-in-family, Other, Female,99999,0,40, United-States, >50K.\n52, Private,91093, Some-college,10, Divorced, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n33, Private,204577, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,162041, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K.\n48, Private,175615, Some-college,10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, Japan, <=50K.\n40, Private,99679, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,3103,0,43, United-States, >50K.\n22, Private,263398, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n55, Private,147653, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n58, ?,32521, 11th,7, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n43, Self-emp-inc,198871, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,88, United-States, <=50K.\n34, Private,127651, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n19, Private,143608, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n50, Local-gov,50048, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,52, United-States, >50K.\n73, ?,378922, HS-grad,9, Married-spouse-absent, ?, Not-in-family, White, Female,0,0,20, Canada, <=50K.\n27, Private,292883, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n62, Private,190491, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K.\n57, State-gov,132145, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K.\n34, Private,126853, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K.\n22, Private,59184, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n22, Private,663291, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2105,0,40, United-States, <=50K.\n29, Local-gov,76978, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,50, United-States, <=50K.\n34, Self-emp-not-inc,196512, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,2472,35, United-States, >50K.\n17, ?,103851, 11th,7, Never-married, ?, Own-child, White, Female,0,0,45, United-States, <=50K.\n35, Private,241126, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n65, Private,266828, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,24, United-States, >50K.\n27, Private,204984, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1579,40, United-States, <=50K.\n46, Private,188950, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n35, Private,226528, Doctorate,16, Married-spouse-absent, Prof-specialty, Not-in-family, Other, Male,0,0,60, England, >50K.\n38, Private,268893, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n36, Private,165473, Bachelors,13, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n49, Private,447554, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n54, Self-emp-inc,304955, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K.\n30, Private,198265, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,395206, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,312667, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,2174,0,55, United-States, <=50K.\n23, Private,117767, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,36, United-States, <=50K.\n40, Private,170482, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,14344,0,45, United-States, >50K.\n29, Private,309778, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K.\n28, Private,289991, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n41, Federal-gov,255543, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n34, Private,119079, 11th,7, Married-civ-spouse, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n37, Private,318168, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,1055,0,20, United-States, <=50K.\n39, Private,67317, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,337953, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n55, Private,451603, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n30, Private,455995, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n33, State-gov,209768, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n55, Federal-gov,27385, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, State-gov,226296, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K.\n47, Private,285335, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n28, Private,376700, Bachelors,13, Never-married, Sales, Own-child, Black, Male,6849,0,50, United-States, <=50K.\n33, Private,150324, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,49, United-States, <=50K.\n62, Private,96460, HS-grad,9, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n49, ?,188141, Some-college,10, Widowed, ?, Unmarried, White, Female,0,0,60, United-States, <=50K.\n42, Private,163985, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,27, United-States, <=50K.\n63, Private,85420, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5013,0,15, United-States, <=50K.\n21, Private,416103, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n65, Self-emp-inc,224357, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Federal-gov,116062, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,194259, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,55, ?, >50K.\n33, Private,460408, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Mexico, <=50K.\n67, Self-emp-not-inc,178878, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,12, United-States, <=50K.\n36, Private,416745, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,292136, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n60, Private,176731, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,104097, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,203482, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,360224, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n67, Private,23580, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Self-emp-not-inc,195891, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n49, Private,182862, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K.\n64, Private,148956, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n24, ?,95862, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, ?,48393, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,32, United-States, <=50K.\n40, Private,132633, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,1741,40, United-States, <=50K.\n35, Local-gov,182074, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n19, State-gov,136848, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,8, United-States, <=50K.\n53, Private,197054, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n57, State-gov,243033, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Self-emp-inc,154174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n47, Private,59380, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,42, United-States, <=50K.\n38, Federal-gov,122240, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, >50K.\n38, Private,193945, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,350103, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Private,32365, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n56, Private,94345, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n24, ?,166437, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,149653, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n57, Private,157271, 11th,7, Divorced, Other-service, Not-in-family, Black, Male,0,0,54, United-States, <=50K.\n60, Private,164599, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K.\n81, Self-emp-inc,104443, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, ?, <=50K.\n46, Private,411595, 5th-6th,3, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n18, Private,198368, 11th,7, Never-married, Other-service, Own-child, White, Male,594,0,10, United-States, <=50K.\n42, Self-emp-not-inc,115932, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,158397, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,101345, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Federal-gov,48853, Masters,14, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, Cuba, <=50K.\n39, Private,38145, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K.\n31, Private,127651, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,38, United-States, >50K.\n28, Private,185896, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,47, Mexico, <=50K.\n34, State-gov,92531, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,195904, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n41, State-gov,153095, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n34, Self-emp-not-inc,581025, 9th,5, Never-married, Other-service, Own-child, Black, Male,0,0,38, United-States, <=50K.\n61, Local-gov,202384, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, <=50K.\n46, Local-gov,122177, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n34, Private,405713, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n67, Private,212185, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,10, United-States, <=50K.\n36, Private,266347, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,43, United-States, <=50K.\n31, Private,49469, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n35, Self-emp-not-inc,210830, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Local-gov,188612, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n27, Private,104017, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1902,30, United-States, >50K.\n23, Private,154785, Some-college,10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n20, Private,39477, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n72, Private,99554, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,10, Poland, <=50K.\n61, Private,255978, HS-grad,9, Widowed, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n41, Local-gov,98823, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n45, Federal-gov,109598, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n24, Private,266971, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, ?,334593, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, ?,41035, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K.\n35, State-gov,238591, Some-college,10, Separated, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n44, Local-gov,117012, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,40, United-States, >50K.\n30, Private,192002, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n64, Private,137135, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K.\n69, Private,150600, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K.\n70, Private,117464, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,16, United-States, <=50K.\n42, Self-emp-not-inc,111971, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n22, Private,290044, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,35, Canada, <=50K.\n17, Private,197186, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K.\n51, Self-emp-not-inc,61127, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,236379, 11th,7, Never-married, Transport-moving, Unmarried, White, Male,0,0,30, United-States, <=50K.\n31, Private,207100, Bachelors,13, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K.\n50, Self-emp-inc,288630, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,203181, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Male,0,0,36, United-States, <=50K.\n43, Private,146770, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n22, Private,191789, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n32, Private,453983, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,44, United-States, <=50K.\n32, Self-emp-not-inc,106014, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n37, Private,218955, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,35, United-States, <=50K.\n62, Private,115771, Assoc-voc,11, Widowed, Sales, Unmarried, White, Female,0,0,33, United-States, <=50K.\n36, Private,305379, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K.\n29, Private,53063, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, Private,139466, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n64, State-gov,152537, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n32, Private,400535, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,330802, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n24, Private,117789, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n20, Private,330836, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,323985, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,5, United-States, >50K.\n50, Local-gov,282701, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,48, United-States, >50K.\n45, Private,180695, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,1408,40, United-States, <=50K.\n38, Private,314007, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,5178,0,40, United-States, >50K.\n51, Without-pay,124963, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n47, Private,380922, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n53, Local-gov,222381, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n33, Self-emp-not-inc,656488, Assoc-voc,11, Divorced, Tech-support, Unmarried, Black, Male,0,0,50, United-States, <=50K.\n38, Private,98776, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,143050, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n17, Private,118792, 11th,7, Never-married, Sales, Other-relative, White, Female,0,0,24, United-States, <=50K.\n21, Private,154964, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n41, Private,163847, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, >50K.\n28, Private,282398, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n47, Private,78954, 11th,7, Divorced, Sales, Unmarried, White, Female,0,0,28, United-States, <=50K.\n38, Self-emp-not-inc,203988, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,55, United-States, >50K.\n54, Private,111130, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, United-States, >50K.\n45, Private,149388, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n45, Private,39464, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, Local-gov,94064, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n44, State-gov,342510, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, United-States, >50K.\n66, Self-emp-not-inc,163726, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,10, United-States, <=50K.\n35, Private,194496, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n66, Self-emp-not-inc,298045, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K.\n24, Private,42100, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K.\n30, Private,77143, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,25, United-States, <=50K.\n38, Private,233197, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n17, Private,295120, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K.\n20, Private,85021, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n54, ?,191659, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,244194, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,5178,0,40, United-States, >50K.\n32, Local-gov,287229, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,30, Japan, <=50K.\n18, Private,324046, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n33, State-gov,65018, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,20, China, <=50K.\n37, Private,421633, Assoc-voc,11, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n28, Private,93235, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n60, Local-gov,227232, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n30, ?,121775, Assoc-voc,11, Never-married, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n36, Private,65382, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n19, Private,179422, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n53, Federal-gov,276868, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n57, Private,87317, 10th,6, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n32, Private,108247, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K.\n32, Private,197505, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,127493, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,2, United-States, <=50K.\n51, Private,75640, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n38, ?,320811, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Local-gov,247053, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,119735, 9th,5, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n29, Private,157950, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n40, Private,113732, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n52, Self-emp-inc,224763, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Cuba, <=50K.\n42, Self-emp-not-inc,40024, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,66, United-States, <=50K.\n42, Self-emp-not-inc,296594, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n43, Federal-gov,53956, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, >50K.\n38, Self-emp-inc,71009, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,7298,0,40, ?, >50K.\n34, Private,191834, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,107236, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n47, Private,231284, HS-grad,9, Never-married, Farming-fishing, Not-in-family, Other, Male,0,0,40, Puerto-Rico, <=50K.\n31, State-gov,203488, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,41721, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, Private,205100, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,80, United-States, >50K.\n57, Private,75673, Some-college,10, Widowed, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n28, ?,105598, 11th,7, Never-married, ?, Not-in-family, White, Male,0,1762,40, Outlying-US(Guam-USVI-etc), <=50K.\n63, Self-emp-not-inc,177832, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K.\n24, Private,478457, 11th,7, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,30, United-States, <=50K.\n28, Local-gov,194759, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,1669,90, United-States, <=50K.\n64, Self-emp-not-inc,30310, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n29, Private,130010, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,170302, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Male,0,0,38, United-States, <=50K.\n46, Private,120080, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n77, Private,183781, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Female,0,0,5, United-States, <=50K.\n31, Private,422836, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n46, Private,266860, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n25, Private,393456, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n20, State-gov,318382, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,354520, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K.\n47, Private,123425, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,41, United-States, <=50K.\n52, Private,123989, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,175778, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n28, State-gov,73928, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, >50K.\n31, Private,33731, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n41, Private,557349, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,255252, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n40, Private,219164, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,5178,0,40, United-States, >50K.\n21, Local-gov,129050, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K.\n61, Private,111797, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,32, United-States, <=50K.\n34, Private,192900, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n44, Private,56651, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,51961, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,55, Philippines, <=50K.\n37, Private,141584, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,47, United-States, <=50K.\n18, Private,421350, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K.\n52, Private,24740, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1740,55, United-States, <=50K.\n31, Local-gov,498267, HS-grad,9, Separated, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n21, Private,117583, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,191455, Some-college,10, Married-civ-spouse, Tech-support, Wife, Other, Female,0,0,15, United-States, <=50K.\n22, Private,135716, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,27766, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,323919, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n73, Local-gov,114561, 5th-6th,3, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,25, Philippines, <=50K.\n17, Private,216137, 9th,5, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n49, Private,165539, HS-grad,9, Widowed, Exec-managerial, Not-in-family, Black, Female,0,0,35, United-States, <=50K.\n42, Private,32016, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, United-States, >50K.\n35, Private,89040, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n45, Private,264514, Bachelors,13, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n50, Private,24790, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,181139, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,42, United-States, <=50K.\n18, Private,168514, 10th,6, Never-married, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K.\n17, Private,354493, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,6, United-States, <=50K.\n33, Private,206707, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n43, Private,230684, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n43, Local-gov,192381, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Private,397752, HS-grad,9, Married-spouse-absent, Farming-fishing, Other-relative, White, Male,0,0,12, Mexico, <=50K.\n52, State-gov,120173, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,228394, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n83, Private,186112, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,272237, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n45, Federal-gov,169711, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,15024,0,72, United-States, >50K.\n40, Self-emp-not-inc,172560, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Private,213700, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,32, United-States, >50K.\n23, Private,181820, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,120361, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n47, Local-gov,169324, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,4386,0,35, United-States, >50K.\n32, Private,262092, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K.\n24, Private,143436, Bachelors,13, Never-married, Prof-specialty, Own-child, Other, Female,0,0,10, ?, <=50K.\n43, Private,147099, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K.\n55, Private,138594, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,56, United-States, >50K.\n58, Self-emp-not-inc,100606, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n25, Private,350850, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K.\n23, Private,66432, Some-college,10, Separated, Sales, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n44, Local-gov,229148, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n20, Private,236601, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n46, Private,144844, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,42, United-States, <=50K.\n19, Private,366088, 9th,5, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Private,162164, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,442478, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K.\n25, Private,181814, 11th,7, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n49, Private,175109, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,5178,0,40, United-States, >50K.\n34, Self-emp-inc,152109, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,246891, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,45, United-States, >50K.\n30, Private,164802, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Other, Female,8614,0,40, India, >50K.\n21, Private,57711, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Local-gov,117789, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n67, Private,120900, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K.\n28, Private,114673, Masters,14, Never-married, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n45, Private,78529, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n46, Private,282165, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n48, Private,149337, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, >50K.\n56, Private,250517, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n65, ?,76131, HS-grad,9, Never-married, ?, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n40, Private,352971, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n20, ?,243981, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K.\n55, ?,421228, Masters,14, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, >50K.\n56, Private,94156, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,306868, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n43, Private,187164, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n32, Private,179415, 10th,6, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n64, Private,45776, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,1762,79, United-States, <=50K.\n62, Private,256723, Some-college,10, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,31909, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n68, Private,90526, 12th,8, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K.\n35, ?,127306, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n24, Private,179423, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K.\n39, Private,140169, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n29, Private,37359, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K.\n24, Private,125813, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female,0,0,45, United-States, <=50K.\n33, Private,209415, 10th,6, Divorced, Protective-serv, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n41, Private,206619, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,283737, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Private,162187, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n30, Self-emp-inc,191571, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n59, Private,33725, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n34, Private,236543, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,1590,40, United-States, <=50K.\n26, Federal-gov,73047, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,32, United-States, <=50K.\n20, Private,230574, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K.\n32, Private,178109, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,36, United-States, <=50K.\n58, Private,282023, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n31, Local-gov,101761, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,98168, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, >50K.\n22, Private,287681, 11th,7, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n39, ?,265685, Some-college,10, Divorced, ?, Not-in-family, White, Male,0,0,65, Puerto-Rico, <=50K.\n38, State-gov,91670, Some-college,10, Divorced, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n30, State-gov,61989, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,5, United-States, <=50K.\n23, Private,138513, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Self-emp-not-inc,95423, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n31, Federal-gov,30917, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, <=50K.\n20, ?,316304, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n58, Private,102791, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, Private,416506, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,14084,0,36, United-States, >50K.\n20, Self-emp-inc,245611, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K.\n47, Federal-gov,655066, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0,0,40, Peru, >50K.\n57, Self-emp-not-inc,87584, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n47, Self-emp-not-inc,304223, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Local-gov,40690, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,60, United-States, >50K.\n18, Private,348131, 11th,7, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K.\n64, Private,191477, 5th-6th,3, Widowed, Priv-house-serv, Unmarried, Black, Female,0,0,4, United-States, <=50K.\n29, Private,115438, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K.\n47, Federal-gov,176917, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, >50K.\n40, ?,104196, HS-grad,9, Separated, ?, Own-child, White, Male,0,0,45, United-States, <=50K.\n28, Private,202182, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,308239, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,4, United-States, <=50K.\n34, Private,163581, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,10520,0,40, Puerto-Rico, >50K.\n34, Local-gov,211239, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,6497,0,40, United-States, <=50K.\n31, Private,121321, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,51, United-States, <=50K.\n23, State-gov,120172, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n20, Private,190916, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,1721,20, United-States, <=50K.\n25, Private,340288, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,426431, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-inc,226027, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n28, Private,278736, 12th,8, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n48, Private,168462, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n18, ?,379070, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n43, Private,214541, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, Canada, <=50K.\n52, Self-emp-inc,29887, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n53, Self-emp-not-inc,138022, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n57, Self-emp-inc,208018, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n45, Private,126876, HS-grad,9, Divorced, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, Private,182703, Masters,14, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,36, United-States, <=50K.\n34, Private,161153, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K.\n44, Self-emp-not-inc,168443, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n25, Private,335522, 9th,5, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n27, Private,220104, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1876,50, United-States, <=50K.\n28, ?,162312, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,40, South, <=50K.\n36, Private,104772, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,161472, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,91506, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n19, Private,186717, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n53, Private,77927, 5th-6th,3, Never-married, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Female,0,0,50, Philippines, <=50K.\n55, Private,140063, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Self-emp-inc,317580, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,122533, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,57423, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n45, Private,103331, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n64, State-gov,417543, Doctorate,16, Widowed, Prof-specialty, Not-in-family, Black, Male,8614,0,50, United-States, >50K.\n56, Private,253854, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n56, Private,106850, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Self-emp-inc,314007, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,78, United-States, <=50K.\n23, Private,494371, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n29, Local-gov,270421, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n33, Private,203488, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,40, United-States, <=50K.\n35, Private,167691, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,20, United-States, <=50K.\n25, Private,198318, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n37, Private,319831, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K.\n28, Private,70240, Masters,14, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,36, Philippines, <=50K.\n67, Private,227113, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2457,40, United-States, <=50K.\n22, Private,168997, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, State-gov,231929, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n22, Private,207969, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Male,0,0,35, United-States, <=50K.\n68, Private,192656, Some-college,10, Widowed, Craft-repair, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n31, Private,187215, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, El-Salvador, <=50K.\n51, Self-emp-inc,119570, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n64, Private,188659, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, >50K.\n35, Private,110013, Bachelors,13, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n26, Private,55860, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n42, Self-emp-inc,282069, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Federal-gov,26585, HS-grad,9, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0,0,25, United-States, <=50K.\n46, Self-emp-inc,218890, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n35, Private,211154, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n51, Private,230095, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Private,737315, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, >50K.\n50, Private,144084, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Self-emp-not-inc,48384, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n51, Private,541755, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,178778, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,1340,40, United-States, <=50K.\n28, Private,436198, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n37, Private,82521, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,4064,0,46, United-States, <=50K.\n39, Private,367020, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,174461, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,162501, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,193026, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,218172, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,13550,0,60, United-States, >50K.\n41, Private,110318, Masters,14, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K.\n36, Private,126675, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1579,40, United-States, <=50K.\n24, Private,116788, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,161092, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,159109, 11th,7, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,213191, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K.\n49, Private,240629, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n17, Private,227960, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,10, Puerto-Rico, <=50K.\n54, Private,151580, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, France, >50K.\n41, Private,160893, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n35, Local-gov,184117, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K.\n18, Private,32059, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,23, United-States, <=50K.\n42, Private,361219, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n60, Private,334984, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,2231,40, United-States, >50K.\n49, Self-emp-not-inc,33300, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K.\n57, Private,199713, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K.\n43, Private,401134, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Female,0,2238,40, United-States, <=50K.\n37, Private,132702, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, ?,306693, Some-college,10, Married-civ-spouse, ?, Other-relative, White, Female,0,0,20, United-States, <=50K.\n20, Private,286166, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n57, Private,123515, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,132053, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n20, Self-emp-inc,266400, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, Local-gov,335248, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n81, Private,36147, Prof-school,15, Married-civ-spouse, Farming-fishing, Husband, White, Male,10605,0,2, United-States, >50K.\n21, Private,266467, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,2205,40, United-States, <=50K.\n43, Private,143809, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,334366, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, >50K.\n41, Private,347653, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K.\n32, Private,386806, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,45, Mexico, >50K.\n48, Private,202322, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n50, Private,594521, 9th,5, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Private,174267, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,64, United-States, <=50K.\n18, ?,169542, 12th,8, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n54, Private,227392, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Federal-gov,99131, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K.\n38, Self-emp-inc,225860, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K.\n53, Private,287317, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n42, Private,46091, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n53, Private,170050, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, State-gov,352317, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n56, Private,225267, Some-college,10, Divorced, Sales, Not-in-family, White, Male,14084,0,60, United-States, >50K.\n28, Private,217545, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, ?, <=50K.\n33, Private,183778, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,210013, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,49115, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,44, United-States, >50K.\n31, Private,310429, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n33, Private,114691, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n46, Private,124356, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,51284, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,36, United-States, <=50K.\n47, ?,294443, Assoc-voc,11, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,200009, 10th,6, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,258862, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,18, United-States, <=50K.\n35, Private,37778, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Private,402771, HS-grad,9, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, Federal-gov,201520, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,43, United-States, >50K.\n47, Local-gov,55237, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,44, United-States, <=50K.\n63, ?,52750, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n63, Local-gov,197189, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,4650,0,48, United-States, <=50K.\n39, Private,96564, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,334105, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K.\n41, Private,115323, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,157289, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,52, United-States, <=50K.\n52, Private,320877, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K.\n64, Self-emp-not-inc,198186, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, ?, <=50K.\n62, Private,195543, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, >50K.\n48, Private,103406, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,35, United-States, >50K.\n22, ?,320451, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,24, ?, <=50K.\n18, Private,23940, Some-college,10, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n46, Private,45857, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,33, United-States, <=50K.\n29, Private,195557, Assoc-acdm,12, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Private,229148, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,35, United-States, <=50K.\n21, ?,152328, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Private,186157, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n60, Private,127712, Assoc-voc,11, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,45, Poland, <=50K.\n24, Private,254351, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K.\n61, Private,182163, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n34, Private,442656, 11th,7, Never-married, Sales, Unmarried, White, Female,0,0,65, Guatemala, <=50K.\n30, Private,111363, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Local-gov,491000, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, Black, Male,0,0,40, United-States, <=50K.\n45, State-gov,156065, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Private,243743, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n47, Self-emp-not-inc,173938, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,2258,20, United-States, <=50K.\n37, Private,86308, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K.\n35, Private,216068, Assoc-acdm,12, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n23, Private,237432, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n34, Private,177216, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n27, Private,212895, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,122749, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Germany, <=50K.\n44, Private,254303, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, Hungary, >50K.\n20, Private,73679, HS-grad,9, Never-married, Transport-moving, Own-child, White, Female,0,0,35, United-States, <=50K.\n30, Private,455995, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,214288, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1848,48, United-States, >50K.\n28, Private,228075, 5th-6th,3, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Hong, <=50K.\n35, Private,412017, 10th,6, Divorced, Sales, Unmarried, White, Female,0,0,38, United-States, <=50K.\n41, Private,236900, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,289442, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Local-gov,237298, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n36, State-gov,47072, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,8, United-States, <=50K.\n25, Private,197036, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n19, State-gov,175507, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,18, United-States, <=50K.\n53, Private,350131, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,48, United-States, >50K.\n35, Private,150057, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,48, United-States, <=50K.\n40, Self-emp-inc,190650, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,45, South, >50K.\n27, Private,430672, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n50, Private,99316, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n47, ?,191776, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,8, United-States, <=50K.\n33, Private,97723, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,50, United-States, >50K.\n28, ?,197288, 11th,7, Never-married, ?, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n36, Private,239409, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n48, Private,195554, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, Self-emp-not-inc,76855, Some-college,10, Divorced, Transport-moving, Unmarried, White, Female,0,0,53, United-States, <=50K.\n43, Private,281315, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n76, Local-gov,224058, 10th,6, Divorced, Transport-moving, Not-in-family, Black, Male,0,0,20, United-States, <=50K.\n23, Private,232799, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,2977,0,55, United-States, <=50K.\n29, Private,174163, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n57, Private,47178, 5th-6th,3, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n62, Self-emp-not-inc,97950, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,6, United-States, <=50K.\n26, Private,342765, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K.\n42, Local-gov,209818, Bachelors,13, Divorced, Prof-specialty, Other-relative, White, Female,0,0,55, United-States, <=50K.\n36, Private,349534, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,31, United-States, >50K.\n43, Self-emp-inc,170214, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, <=50K.\n28, Private,145284, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,124161, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n48, Private,105357, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, Private,355700, Prof-school,15, Married-AF-spouse, Prof-specialty, Wife, White, Female,99999,0,60, United-States, >50K.\n30, Private,99928, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Private,308739, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n58, Self-emp-inc,179781, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K.\n52, Federal-gov,297906, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, ?, >50K.\n25, Private,189663, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,339029, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n39, Self-emp-not-inc,87076, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, >50K.\n18, Private,109928, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n55, Private,218456, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Local-gov,176756, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,75, United-States, >50K.\n69, ?,214923, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, >50K.\n21, Private,191789, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, ?, <=50K.\n19, Private,238383, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n21, Private,315476, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,25, United-States, <=50K.\n36, Private,195148, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n49, ?,174274, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,80, United-States, <=50K.\n42, Private,143208, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,40, ?, <=50K.\n40, Private,30201, Assoc-voc,11, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n35, Self-emp-inc,200352, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K.\n31, Private,117028, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,30, Poland, <=50K.\n45, Private,44489, HS-grad,9, Widowed, Farming-fishing, Unmarried, White, Male,0,0,65, United-States, <=50K.\n52, Private,236222, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,496856, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n29, Private,132675, 11th,7, Separated, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n42, Private,89226, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n36, ?,112660, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n61, Federal-gov,294466, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n58, Private,201011, 7th-8th,4, Separated, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n47, Private,27624, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,65, United-States, >50K.\n31, Private,385959, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n53, Private,214691, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, <=50K.\n34, Private,196253, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n62, Local-gov,242341, Some-college,10, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n23, Private,195016, Some-college,10, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,35, United-States, <=50K.\n47, Private,174794, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, England, >50K.\n59, Self-emp-not-inc,134470, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,2635,0,60, United-States, <=50K.\n17, Private,166360, 10th,6, Never-married, Craft-repair, Own-child, White, Female,0,0,30, United-States, <=50K.\n40, Local-gov,26671, Bachelors,13, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,589838, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, <=50K.\n45, Private,149169, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n46, Private,287920, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,40, United-States, <=50K.\n57, Private,56080, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K.\n22, State-gov,211798, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K.\n30, Private,415266, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,147110, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,228873, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,60, United-States, >50K.\n40, Private,305348, 9th,5, Never-married, Craft-repair, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n50, Federal-gov,189831, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,50, United-States, >50K.\n45, Private,247379, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Federal-gov,198841, Some-college,10, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,364986, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1628,47, United-States, <=50K.\n31, Private,203488, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, >50K.\n31, Private,141118, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K.\n49, Self-emp-not-inc,155862, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K.\n46, Private,324550, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,174353, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K.\n82, Self-emp-not-inc,181912, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,12, United-States, <=50K.\n45, Private,168191, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,15024,0,37, United-States, >50K.\n35, ?,216068, Assoc-acdm,12, Married-civ-spouse, ?, Wife, White, Female,5178,0,12, United-States, >50K.\n41, Private,125461, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n21, Private,162688, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,234406, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n41, State-gov,114537, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n40, Private,68111, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n44, Private,322799, HS-grad,9, Separated, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n21, Private,479296, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K.\n39, Private,323385, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K.\n63, Private,162772, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, >50K.\n53, Private,27166, HS-grad,9, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,10520,0,40, United-States, >50K.\n55, ?,142642, HS-grad,9, Married-spouse-absent, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n19, Private,162954, Some-college,10, Married-AF-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, United-States, <=50K.\n45, Federal-gov,90533, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n52, Private,234286, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,84, United-States, <=50K.\n17, Private,355559, 12th,8, Never-married, Prof-specialty, Own-child, White, Male,0,0,18, United-States, <=50K.\n35, Private,32528, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,132847, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n46, Private,279724, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n50, Private,30827, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n25, Private,179772, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n39, Private,112264, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,93690, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n52, Local-gov,178983, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n55, ?,194740, 10th,6, Widowed, ?, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n48, Local-gov,283037, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,312485, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,32, United-States, <=50K.\n30, Private,202450, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n29, Local-gov,272569, 10th,6, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,231865, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,195693, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, Jamaica, <=50K.\n27, Private,108574, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n58, Self-emp-not-inc,605504, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n19, Self-emp-not-inc,140985, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, England, <=50K.\n22, State-gov,160369, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K.\n29, Private,303440, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Private,263871, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,28338, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Self-emp-inc,298624, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, >50K.\n41, Private,139126, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K.\n57, Private,197994, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,32, United-States, <=50K.\n34, Local-gov,241259, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n80, Self-emp-not-inc,248568, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K.\n59, Self-emp-not-inc,304779, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n58, Private,143266, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,169719, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K.\n34, Private,257128, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Private,78507, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,490332, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K.\n32, Private,244200, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, Puerto-Rico, <=50K.\n44, Self-emp-not-inc,95298, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K.\n23, Private,329174, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,107142, 12th,8, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n39, State-gov,33975, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n26, Private,201579, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n39, Self-emp-not-inc,122852, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n35, Private,272742, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,27828,0,60, United-States, >50K.\n53, Private,161691, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,4865,0,40, United-States, <=50K.\n41, Local-gov,223410, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n90, Private,250832, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,2414,0,40, United-States, <=50K.\n44, Local-gov,282069, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,369164, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n81, Self-emp-not-inc,218521, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,21, United-States, <=50K.\n19, Private,136405, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n40, Private,199018, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n28, Local-gov,299249, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n50, Private,235567, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,52, United-States, <=50K.\n51, Self-emp-not-inc,73493, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n54, Private,320012, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n37, Self-emp-inc,183898, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n31, State-gov,190027, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n31, Private,87891, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,304001, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n40, Private,171424, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n19, Private,123807, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n22, ?,210802, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,24, United-States, <=50K.\n25, Private,80220, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,216413, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n23, Private,423453, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,16, United-States, <=50K.\n30, Private,178835, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n35, Private,304001, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,167482, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n32, Private,26543, Some-college,10, Separated, Prof-specialty, Not-in-family, White, Male,0,2231,40, United-States, >50K.\n52, Private,176409, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n46, State-gov,87018, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n24, Private,251603, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n44, Local-gov,366180, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n42, Private,186916, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,55, United-States, >50K.\n30, Self-emp-not-inc,164461, 11th,7, Divorced, Sales, Unmarried, White, Male,0,653,40, United-States, <=50K.\n42, Private,54102, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n48, Self-emp-not-inc,199058, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, >50K.\n22, Private,293324, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Private,96798, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n65, Self-emp-not-inc,132340, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,3, United-States, <=50K.\n45, Private,175925, Bachelors,13, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n17, Self-emp-not-inc,33230, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,15, United-States, <=50K.\n20, Local-gov,298871, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,10, United-States, <=50K.\n26, Private,142760, Assoc-voc,11, Never-married, Sales, Not-in-family, Black, Male,0,0,50, United-States, <=50K.\n30, Private,200700, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, Private,117310, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,60, ?, <=50K.\n44, Private,238188, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,354496, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Private,416541, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K.\n52, Private,42902, 9th,5, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n30, Private,180317, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Private,378581, 12th,8, Never-married, Protective-serv, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n45, Local-gov,213620, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n58, Private,186905, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,99999,0,40, United-States, >50K.\n47, Private,182054, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n64, Local-gov,189634, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n25, Local-gov,170070, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n42, Private,445382, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Self-emp-inc,168211, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, >50K.\n22, Private,341760, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n26, Private,152452, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,558752, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,3674,0,40, United-States, <=50K.\n28, Private,153813, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K.\n54, Private,81859, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n47, Self-emp-not-inc,51664, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n46, Private,334421, Bachelors,13, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female,0,0,40, China, <=50K.\n35, Private,239415, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K.\n57, Local-gov,62701, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Male,6849,0,40, United-States, <=50K.\n37, Self-emp-inc,347491, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n54, Local-gov,108739, 11th,7, Widowed, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n34, Private,340917, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,2174,0,45, United-States, <=50K.\n54, Federal-gov,160636, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n49, Private,116927, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n24, Private,179423, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n18, Private,347829, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,4, United-States, <=50K.\n62, Self-emp-not-inc,56317, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, ?, >50K.\n37, Self-emp-inc,347189, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n42, Private,201520, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n43, Private,43533, 5th-6th,3, Separated, Other-service, Other-relative, White, Female,0,0,40, El-Salvador, <=50K.\n20, Private,313786, HS-grad,9, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n36, Private,367216, Some-college,10, Married-spouse-absent, Other-service, Own-child, White, Female,0,0,28, United-States, <=50K.\n23, Private,408988, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n48, Private,175662, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,24, United-States, <=50K.\n77, Self-emp-not-inc,161552, Preschool,1, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n26, Private,311743, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,39, United-States, <=50K.\n25, Private,323229, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,163204, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1740,40, United-States, <=50K.\n25, Private,201481, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,154210, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K.\n36, Local-gov,247547, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n51, Self-emp-inc,254230, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,58, United-States, >50K.\n33, Private,156464, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K.\n31, Private,108322, Some-college,10, Married-AF-spouse, Craft-repair, Husband, White, Male,0,0,28, United-States, <=50K.\n33, Private,213179, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,160122, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n64, ?,80392, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K.\n36, Local-gov,254202, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,24, Germany, <=50K.\n26, State-gov,232914, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Local-gov,206609, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,1876,40, United-States, <=50K.\n33, Private,44623, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n22, ?,199005, Assoc-acdm,12, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Private,403344, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,118577, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,25, United-States, >50K.\n37, Private,122889, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7298,0,40, Taiwan, >50K.\n23, Private,196508, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,24, United-States, <=50K.\n26, Private,40915, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,143774, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K.\n22, Private,173004, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,1, United-States, <=50K.\n49, Private,353824, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K.\n53, Private,171058, Some-college,10, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K.\n40, Private,335400, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Dominican-Republic, <=50K.\n30, Local-gov,263650, Bachelors,13, Never-married, Sales, Unmarried, Black, Female,0,0,17, United-States, <=50K.\n59, Private,187025, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n49, Private,149218, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K.\n26, Private,190916, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,240989, 1st-4th,2, Married-civ-spouse, Farming-fishing, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n47, Private,216093, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,40, United-States, >50K.\n42, Private,111483, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n24, Private,214810, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n46, Private,165402, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,5178,0,40, United-States, >50K.\n50, Federal-gov,36489, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,173923, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n20, Private,273147, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n18, Private,113814, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n41, Private,118768, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n62, Federal-gov,34916, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,73023, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n46, State-gov,179869, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Federal-gov,259131, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Male,5455,0,40, United-States, <=50K.\n52, Private,257756, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Germany, <=50K.\n53, Private,448862, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n31, Private,150553, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n30, Private,205152, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K.\n26, Private,220499, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n19, Private,134252, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n20, Private,175808, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Private,185621, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n24, Private,278391, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K.\n22, Self-emp-not-inc,174907, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K.\n40, Private,175642, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, >50K.\n24, Self-emp-not-inc,216889, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n34, Private,183557, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n24, Private,196674, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,169188, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n46, Private,203785, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n49, Private,196707, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n37, Private,190297, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K.\n18, Private,255595, 11th,7, Never-married, Prof-specialty, Own-child, White, Male,0,0,5, United-States, <=50K.\n38, Self-emp-not-inc,374983, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n21, Private,176178, Bachelors,13, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,35, United-States, <=50K.\n35, Private,181165, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n43, Local-gov,212490, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n61, Private,215766, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n46, Private,261688, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Private,123417, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n29, Private,108431, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,2415,40, United-States, >50K.\n58, Private,32954, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,224752, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,122353, 11th,7, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n37, Private,176159, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,189407, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n26, Private,181772, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,109133, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,165229, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n23, State-gov,315449, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K.\n40, Private,37848, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n37, Federal-gov,54595, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n20, ?,127914, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n20, Private,121596, Some-college,10, Never-married, Other-service, Own-child, White, Female,2907,0,35, United-States, <=50K.\n38, Private,95336, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n40, ?,299197, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,23, United-States, <=50K.\n58, Private,299991, 11th,7, Divorced, Adm-clerical, Not-in-family, White, Female,3674,0,40, United-States, <=50K.\n28, Private,70034, 9th,5, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Portugal, <=50K.\n30, Private,256970, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K.\n29, Private,108706, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K.\n52, Private,227832, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n26, Private,272865, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,60070, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K.\n40, Private,223730, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K.\n51, Self-emp-not-inc,22743, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1740,40, United-States, <=50K.\n26, Private,195994, Bachelors,13, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, ?,181242, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n64, Private,133169, 11th,7, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, India, <=50K.\n22, Private,99199, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K.\n40, Private,246949, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,284889, Bachelors,13, Widowed, Sales, Unmarried, White, Female,0,0,41, United-States, <=50K.\n35, Private,150309, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male,0,1887,40, United-States, >50K.\n24, Private,201799, Bachelors,13, Never-married, Transport-moving, Own-child, White, Female,0,0,84, United-States, <=50K.\n58, Private,52090, Prof-school,15, Divorced, Tech-support, Unmarried, White, Male,0,0,40, United-States, >50K.\n83, Local-gov,107338, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Male,0,0,12, United-States, <=50K.\n45, Private,32356, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n47, Private,50092, Bachelors,13, Divorced, Exec-managerial, Unmarried, Other, Male,0,1138,40, United-States, <=50K.\n28, Private,311446, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Federal-gov,128553, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n23, Private,203203, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Self-emp-not-inc,429281, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, ?, <=50K.\n31, Private,192660, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n30, Local-gov,170449, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n57, ?,221417, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n80, ?,156942, 1st-4th,2, Separated, ?, Not-in-family, Black, Male,0,0,15, United-States, <=50K.\n21, Private,177504, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K.\n24, Private,378546, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,39, United-States, <=50K.\n39, Self-emp-not-inc,33001, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,213722, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K.\n36, Private,152307, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,55, United-States, >50K.\n61, Self-emp-not-inc,53777, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n23, Private,60668, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,55, United-States, <=50K.\n34, Private,132544, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,99, United-States, <=50K.\n53, Private,277772, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n23, Private,415755, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n51, Private,136080, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,31, United-States, <=50K.\n29, Private,241607, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,2597,0,40, United-States, <=50K.\n22, Private,180190, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, Private,400356, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n55, Federal-gov,154274, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,8614,0,40, United-States, >50K.\n48, Private,146497, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,37, United-States, <=50K.\n47, Private,189498, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,65, United-States, >50K.\n32, Private,65942, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,56, United-States, <=50K.\n27, Self-emp-not-inc,151382, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n41, Private,56651, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n25, Private,164488, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K.\n27, Local-gov,183061, HS-grad,9, Never-married, Farming-fishing, Own-child, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K.\n31, Private,289228, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, <=50K.\n28, Private,38918, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n23, Private,194630, HS-grad,9, Separated, Machine-op-inspct, Own-child, White, Male,0,0,53, United-States, <=50K.\n31, Private,262848, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,157595, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n26, Private,102476, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Local-gov,93663, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K.\n30, Private,202450, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Private,72393, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n27, Private,53147, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n29, Self-emp-not-inc,337944, 11th,7, Separated, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n31, Private,37939, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n57, Private,118993, 9th,5, Married-civ-spouse, Transport-moving, Other-relative, White, Female,0,0,40, ?, <=50K.\n60, Private,772919, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K.\n26, Private,143062, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n31, Local-gov,32593, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,167882, 12th,8, Never-married, Other-service, Unmarried, Black, Female,0,0,48, Haiti, <=50K.\n52, Local-gov,48413, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,123429, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,244261, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n37, State-gov,318891, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n20, Private,259788, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,248876, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,55, United-States, <=50K.\n63, Federal-gov,334418, 1st-4th,2, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, Puerto-Rico, <=50K.\n38, Self-emp-not-inc,166497, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K.\n54, Self-emp-not-inc,260833, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, >50K.\n35, Private,107477, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Private,37932, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n58, Self-emp-not-inc,216948, 10th,6, Separated, Sales, Other-relative, Other, Male,0,0,40, Cuba, <=50K.\n38, Private,157473, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, <=50K.\n21, ?,117222, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Self-emp-inc,186733, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n53, Private,231472, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n31, Local-gov,187689, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,323985, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n53, Private,270655, 12th,8, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K.\n36, Private,301614, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, Mexico, <=50K.\n25, Private,112754, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n23, ?,35633, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, ?, <=50K.\n30, Self-emp-not-inc,112358, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n57, Self-emp-not-inc,247337, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,72, United-States, <=50K.\n40, Self-emp-inc,115411, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K.\n42, State-gov,884434, Some-college,10, Separated, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n55, Private,72812, HS-grad,9, Separated, Sales, Not-in-family, White, Male,0,0,36, United-States, <=50K.\n26, Private,192549, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-not-inc,54310, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,50, United-States, <=50K.\n58, Self-emp-not-inc,33386, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,20, United-States, <=50K.\n30, Private,233433, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,45, United-States, <=50K.\n24, Private,106373, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n60, Private,215591, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n39, Private,184531, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,69495, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n63, Self-emp-not-inc,22228, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,55899, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Self-emp-inc,181498, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n31, State-gov,203572, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K.\n23, Private,120601, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n36, Private,74706, 10th,6, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K.\n59, ?,259673, Some-college,10, Married-civ-spouse, ?, Husband, Other, Male,0,0,40, Puerto-Rico, <=50K.\n48, Private,126441, 1st-4th,2, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,45, China, <=50K.\n25, Private,127784, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n43, Private,33658, Some-college,10, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,3004,40, United-States, >50K.\n36, Private,234901, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,34307, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n75, Private,124660, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K.\n29, Private,278637, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,373545, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n17, Private,172548, 9th,5, Never-married, Sales, Own-child, White, Male,0,0,8, United-States, <=50K.\n46, Private,28074, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,89, United-States, >50K.\n58, Self-emp-not-inc,127539, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,25, United-States, <=50K.\n25, ?,180246, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,1408,40, United-States, <=50K.\n34, State-gov,377017, Masters,14, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K.\n41, Private,144925, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n51, ?,156877, 9th,5, Separated, ?, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n19, Private,153019, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Private,32825, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n46, Private,114120, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n36, ?,92440, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,32016, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n51, Private,165953, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,45, United-States, <=50K.\n21, Private,96061, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K.\n50, Private,106422, HS-grad,9, Married-civ-spouse, Sales, Wife, Black, Female,0,1485,37, United-States, >50K.\n49, Self-emp-not-inc,167281, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,137895, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n52, Private,177487, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,344696, Some-college,10, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n66, Self-emp-not-inc,51415, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,4931,0,98, United-States, <=50K.\n36, Private,134367, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,32, United-States, >50K.\n40, Private,289636, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n30, Private,165115, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K.\n20, Private,206008, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n22, State-gov,149342, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K.\n48, Self-emp-not-inc,90042, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,49, United-States, <=50K.\n22, Private,495288, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K.\n22, Private,234970, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,40, ?, <=50K.\n51, Self-emp-not-inc,123011, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,260454, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n19, Private,39026, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,278021, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,159399, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K.\n34, Private,340665, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,2057,35, United-States, <=50K.\n34, State-gov,392518, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n24, Private,229826, Bachelors,13, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K.\n62, Private,185503, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n25, Private,399117, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K.\n45, Private,168232, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,56, United-States, >50K.\n42, Private,377322, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n71, Self-emp-not-inc,141742, HS-grad,9, Widowed, Farming-fishing, Unmarried, White, Male,1731,0,5, United-States, <=50K.\n39, Private,31964, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K.\n45, Self-emp-not-inc,29019, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,55, United-States, <=50K.\n67, ?,183420, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,21, United-States, <=50K.\n36, Private,305319, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n35, Private,182189, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n39, Private,257250, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n60, Self-emp-not-inc,269485, Preschool,1, Divorced, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n32, Self-emp-not-inc,182177, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,179481, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Poland, <=50K.\n27, Private,199118, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Nicaragua, <=50K.\n46, Private,33084, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,185407, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n38, Self-emp-not-inc,177907, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,145441, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,40, United-States, >50K.\n25, Private,104830, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,15, United-States, <=50K.\n27, Private,247507, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n71, Self-emp-inc,216601, 11th,7, Divorced, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n28, Local-gov,91670, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n58, Private,106740, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n57, Private,122562, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n35, Private,109133, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,3674,0,52, United-States, <=50K.\n35, Private,196123, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n55, Private,123436, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n56, Self-emp-inc,42298, 9th,5, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K.\n44, Private,297248, HS-grad,9, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,40, Columbia, <=50K.\n23, Private,117363, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n41, Private,79864, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n51, Private,190762, 1st-4th,2, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n46, Private,155509, Bachelors,13, Separated, Prof-specialty, Unmarried, Black, Female,0,0,32, Jamaica, <=50K.\n45, Federal-gov,163434, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,153832, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n53, Federal-gov,147629, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, >50K.\n33, Private,488720, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n49, Private,169180, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,1876,35, United-States, <=50K.\n37, Private,188763, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n37, Private,229647, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,42, United-States, <=50K.\n57, Self-emp-not-inc,321456, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K.\n24, Private,199698, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, <=50K.\n32, Private,226010, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n28, Private,116298, 7th-8th,4, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n33, Private,130057, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n27, Private,369188, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,90, United-States, >50K.\n32, Private,155193, HS-grad,9, Separated, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n33, Private,159574, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,299353, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,56, United-States, <=50K.\n46, Local-gov,99971, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, >50K.\n65, Private,190160, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K.\n67, Private,283416, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n60, Private,224277, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K.\n30, Private,111567, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,48, United-States, <=50K.\n53, Private,151411, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n34, Private,346736, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Female,0,0,50, United-States, <=50K.\n26, Private,264055, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,55, United-States, <=50K.\n22, Private,309620, HS-grad,9, Never-married, Sales, Not-in-family, Other, Male,0,0,45, ?, <=50K.\n39, Private,224541, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,235334, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,99999,0,60, United-States, >50K.\n22, Private,296158, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,153997, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,231482, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,278553, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,38, United-States, <=50K.\n56, Private,91251, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,20, China, <=50K.\n47, Self-emp-not-inc,192053, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n47, Private,207120, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n46, Self-emp-inc,125892, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K.\n34, Private,186824, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,200471, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,2415,40, United-States, >50K.\n22, Private,117779, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n23, Private,44793, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n33, Private,37646, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, <=50K.\n45, Private,174127, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,110103, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,1762,40, United-States, <=50K.\n20, Private,74631, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K.\n32, Private,211239, Some-college,10, Married-AF-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n26, ?,157008, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,90406, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,60, United-States, <=50K.\n27, Private,199998, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,32, United-States, <=50K.\n73, Private,132350, 7th-8th,4, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,18, United-States, <=50K.\n61, Private,233427, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n52, Local-gov,71489, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,40, United-States, <=50K.\n34, Self-emp-inc,119411, Some-college,10, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n35, Private,351772, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n27, Local-gov,34254, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,178693, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n47, Private,168262, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n58, Private,34169, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,3103,0,25, United-States, >50K.\n31, Private,328118, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n39, Self-emp-inc,122353, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K.\n18, Private,37315, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K.\n27, Private,181916, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n21, Private,55465, Assoc-acdm,12, Never-married, Other-service, Other-relative, White, Male,0,0,15, United-States, <=50K.\n45, Private,192203, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,49, United-States, >50K.\n26, Private,91683, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,39302, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n27, Private,171356, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n53, Self-emp-inc,197189, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,72, United-States, >50K.\n47, Private,112362, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,228326, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, Private,307353, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n44, Private,172160, 11th,7, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n62, Self-emp-inc,234738, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,50, United-States, <=50K.\n34, Private,33117, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n64, Self-emp-not-inc,217380, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,2559,60, United-States, >50K.\n36, Private,157954, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n53, Private,164299, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1887,65, United-States, >50K.\n61, Self-emp-not-inc,224981, 10th,6, Widowed, Craft-repair, Other-relative, White, Male,0,0,18, Mexico, <=50K.\n25, Private,281209, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,200479, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n28, Private,132750, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n22, Private,21154, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,1590,32, United-States, <=50K.\n34, State-gov,189843, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,116657, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K.\n52, Private,113522, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, >50K.\n53, Private,176185, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n90, Private,227796, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,6097,0,45, United-States, >50K.\n24, Private,194891, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Private,197189, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,182191, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,2202,0,38, United-States, <=50K.\n47, Private,242559, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,1408,40, United-States, <=50K.\n90, Self-emp-not-inc,122348, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,45, United-States, >50K.\n44, Private,40024, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Local-gov,225978, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K.\n18, Private,407436, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K.\n60, Self-emp-not-inc,119471, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K.\n33, Private,249409, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,35, United-States, <=50K.\n38, ?,217409, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n48, Private,148995, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n50, Private,200046, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n37, Private,215618, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,280081, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n46, Self-emp-inc,340651, Bachelors,13, Married-civ-spouse, Other-service, Husband, Black, Male,0,1977,60, United-States, >50K.\n39, Private,111000, Masters,14, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K.\n26, Private,135521, Assoc-voc,11, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,28, United-States, <=50K.\n24, Self-emp-not-inc,194102, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,295127, Some-college,10, Divorced, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K.\n60, ?,102310, Assoc-acdm,12, Divorced, ?, Not-in-family, White, Female,0,0,45, Canada, <=50K.\n48, Private,240175, 11th,7, Separated, Other-service, Unmarried, Black, Male,0,0,22, United-States, <=50K.\n41, Private,145441, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n61, Self-emp-not-inc,243019, Preschool,1, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,215596, 9th,5, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K.\n25, State-gov,31350, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,246965, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n28, Private,99838, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,38, ?, <=50K.\n40, Private,340797, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n51, ?,29937, HS-grad,9, Widowed, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K.\n38, Local-gov,30056, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,309903, 10th,6, Never-married, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K.\n55, State-gov,256984, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n22, Private,181723, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, Germany, <=50K.\n37, Private,101020, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,4787,0,55, United-States, >50K.\n44, Self-emp-not-inc,106900, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,195770, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n49, Private,102737, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Local-gov,191779, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n56, Self-emp-not-inc,99479, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5013,0,46, United-States, <=50K.\n62, Private,196891, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n19, ?,208066, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n31, Private,54341, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n21, Private,140001, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n26, Private,248220, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,172962, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,88215, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, China, <=50K.\n18, Private,110142, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n41, Self-emp-not-inc,136986, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, State-gov,206775, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,53497, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,238534, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,20, Puerto-Rico, <=50K.\n38, Private,143123, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,60269, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,82623, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,48, United-States, >50K.\n40, Local-gov,99666, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n61, Private,95680, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n44, State-gov,208163, Assoc-voc,11, Separated, Protective-serv, Unmarried, White, Male,0,0,40, United-States, <=50K.\n41, Private,369781, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n17, Private,311288, 11th,7, Never-married, Exec-managerial, Own-child, White, Female,0,0,24, United-States, <=50K.\n42, Self-emp-not-inc,152889, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K.\n38, Private,160086, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n34, Private,117963, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, >50K.\n33, Private,186884, HS-grad,9, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n41, Private,313830, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, ?,212529, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,124330, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K.\n53, Private,104501, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n41, Private,43501, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,83774, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n37, Private,216845, Preschool,1, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K.\n45, Local-gov,168191, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Self-emp-not-inc,166894, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n31, Private,110083, HS-grad,9, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n55, Private,194371, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, Canada, >50K.\n36, Federal-gov,125933, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,2258,40, United-States, <=50K.\n22, Private,444554, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n34, Private,190228, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, >50K.\n27, Private,604045, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,27828,0,40, United-States, >50K.\n36, Private,241126, Some-college,10, Divorced, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K.\n38, Private,168355, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K.\n48, State-gov,158451, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,914,0,40, United-States, <=50K.\n50, Private,141608, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K.\n36, Private,33157, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n45, Private,187563, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,45, United-States, <=50K.\n33, Private,26252, Assoc-acdm,12, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n32, Local-gov,318647, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,36, United-States, <=50K.\n47, Private,152572, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K.\n30, Private,77634, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,199513, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,1408,50, United-States, <=50K.\n19, Private,260327, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,18, United-States, <=50K.\n23, Private,437940, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Private,137069, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K.\n34, Local-gov,32587, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n47, Self-emp-inc,193960, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,7298,0,45, United-States, >50K.\n33, Private,170651, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1977,38, United-States, >50K.\n68, ?,186163, 1st-4th,2, Widowed, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n39, Private,114544, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n28, Private,159724, Bachelors,13, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n63, Private,697806, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n34, Private,140011, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,45, United-States, <=50K.\n53, Federal-gov,411700, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K.\n26, State-gov,179633, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n57, Local-gov,317690, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K.\n45, Local-gov,213334, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n41, Private,165304, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Greece, <=50K.\n57, Private,192325, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,42, United-States, <=50K.\n53, Self-emp-not-inc,385183, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K.\n33, Private,232650, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n47, Self-emp-not-inc,182474, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,36, United-States, <=50K.\n37, Private,119992, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,376016, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n39, Private,144638, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K.\n48, Federal-gov,113612, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n65, ?,106161, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,48160, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Self-emp-not-inc,55176, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n21, Private,291232, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n55, Private,250149, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n62, ?,221064, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Self-emp-not-inc,87745, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n35, Private,97136, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,37, United-States, <=50K.\n18, Private,632271, Some-college,10, Married-spouse-absent, Adm-clerical, Other-relative, White, Female,0,0,40, Peru, <=50K.\n18, Private,295607, 10th,6, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n84, ?,163443, 7th-8th,4, Widowed, ?, Not-in-family, White, Male,0,0,3, United-States, <=50K.\n78, Self-emp-not-inc,213136, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,24, United-States, <=50K.\n23, Private,107882, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,50, United-States, <=50K.\n35, Private,214378, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n24, Private,236427, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,34292, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,204780, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,15024,0,40, United-States, >50K.\n22, Private,161508, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n80, Private,151959, HS-grad,9, Widowed, Other-service, Not-in-family, Black, Male,0,0,15, United-States, <=50K.\n41, Private,196001, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,20, United-States, <=50K.\n27, Self-emp-not-inc,211259, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n45, Private,35136, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, >50K.\n52, Private,288353, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,48, United-States, >50K.\n48, Local-gov,93449, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,99999,0,40, Philippines, >50K.\n17, Private,40432, 10th,6, Never-married, Adm-clerical, Own-child, White, Female,0,0,4, United-States, <=50K.\n60, Private,180632, 12th,8, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n76, Private,204113, HS-grad,9, Widowed, Protective-serv, Not-in-family, White, Female,7896,0,18, United-States, <=50K.\n22, Private,336101, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n34, Private,235062, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n49, ?,312552, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,2002,70, United-States, <=50K.\n39, Private,226947, 7th-8th,4, Separated, Other-service, Other-relative, White, Male,0,0,40, El-Salvador, <=50K.\n40, Private,29393, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K.\n38, ?,115376, Some-college,10, Married-civ-spouse, ?, Wife, Black, Female,0,0,40, United-States, <=50K.\n52, Self-emp-inc,146574, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n28, State-gov,175389, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K.\n26, Self-emp-inc,316688, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K.\n63, Self-emp-not-inc,187919, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n41, ?,188436, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, Canada, <=50K.\n41, Private,80666, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n59, Self-emp-not-inc,381965, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1740,80, United-States, <=50K.\n31, Private,192039, Assoc-acdm,12, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n34, Self-emp-not-inc,181091, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K.\n40, Private,50191, 9th,5, Divorced, Craft-repair, Unmarried, White, Male,5455,0,40, United-States, <=50K.\n29, Private,155256, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n42, Private,104973, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,348771, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Canada, <=50K.\n55, Private,96415, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n77, Private,213136, Doctorate,16, Widowed, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K.\n59, Self-emp-inc,155259, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,20, United-States, <=50K.\n47, Private,95155, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K.\n56, Private,178787, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,361497, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n61, State-gov,254890, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,296478, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,179791, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n25, Self-emp-inc,110010, HS-grad,9, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Private,89622, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n56, State-gov,118614, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, State-gov,35683, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Local-gov,163815, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,2179,41, United-States, <=50K.\n49, Private,175305, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n33, Self-emp-inc,96245, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,99, United-States, <=50K.\n27, Private,201017, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, <=50K.\n48, Private,95388, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n42, Private,249332, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,194759, Assoc-acdm,12, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n61, Private,260062, 10th,6, Never-married, Other-service, Own-child, White, Female,4416,0,38, United-States, <=50K.\n36, Self-emp-not-inc,166213, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,46743, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,25, ?, <=50K.\n20, Private,112387, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,324685, 9th,5, Never-married, Sales, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n34, Private,87943, 7th-8th,4, Married-civ-spouse, Craft-repair, Wife, Other, Female,0,0,48, ?, <=50K.\n45, Federal-gov,187510, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,188703, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,127961, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n34, Private,200117, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Self-emp-inc,142030, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, >50K.\n30, Private,226296, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,239130, Prof-school,15, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Private,165475, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n46, Self-emp-inc,328216, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,45, United-States, >50K.\n21, ?,118023, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K.\n42, Self-emp-not-inc,206066, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,45, United-States, <=50K.\n29, Local-gov,141005, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K.\n28, Private,104870, Assoc-voc,11, Never-married, Other-service, Not-in-family, Black, Female,0,0,48, United-States, <=50K.\n44, Self-emp-not-inc,253250, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,54, United-States, <=50K.\n39, Private,497788, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n42, Private,128354, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n49, Private,140782, 10th,6, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n37, Private,216129, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Female,0,0,45, United-States, <=50K.\n65, Private,65757, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, ?,264758, Some-college,10, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, Haiti, <=50K.\n23, Private,245361, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,35, United-States, <=50K.\n48, Local-gov,216689, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, ?,139517, 11th,7, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K.\n65, Local-gov,188903, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,6418,0,45, United-States, >50K.\n18, Private,170094, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,20, United-States, <=50K.\n53, Private,108836, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,189565, HS-grad,9, Married-civ-spouse, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, Private,347993, 1st-4th,2, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n49, Private,187308, Some-college,10, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,35, United-States, <=50K.\n27, State-gov,136077, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, State-gov,165457, Bachelors,13, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Male,2463,0,40, United-States, <=50K.\n49, Federal-gov,175428, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n78, ?,143574, Some-college,10, Widowed, ?, Not-in-family, White, Male,0,0,5, United-States, <=50K.\n34, Private,349148, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n72, Private,103990, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,12, United-States, <=50K.\n55, Self-emp-inc,183884, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n21, Private,464484, HS-grad,9, Married-spouse-absent, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n41, Private,190786, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K.\n30, Private,348592, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, ?,177839, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, Private,152156, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,53, United-States, <=50K.\n55, Private,141807, HS-grad,9, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, Poland, <=50K.\n47, Local-gov,188537, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,60, United-States, >50K.\n43, Private,203233, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n51, Private,28978, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Self-emp-inc,116211, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n18, ?,97683, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n19, Private,283945, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n43, Private,115178, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,43, United-States, >50K.\n48, State-gov,77102, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n23, Private,132220, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,129301, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n22, Private,187592, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n34, Private,312667, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n36, Local-gov,206951, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,587310, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Own-child, White, Male,0,0,40, El-Salvador, <=50K.\n76, Private,328227, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,5556,0,13, United-States, >50K.\n35, Private,100634, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n49, Private,274200, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,72, United-States, <=50K.\n18, Self-emp-inc,29582, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K.\n68, Private,174812, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,15, United-States, <=50K.\n22, State-gov,138513, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K.\n37, Private,219137, 7th-8th,4, Divorced, Sales, Unmarried, White, Female,0,0,44, United-States, <=50K.\n23, Private,265148, Bachelors,13, Never-married, Sales, Other-relative, White, Male,0,0,55, United-States, <=50K.\n41, Private,302606, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n18, Private,197600, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K.\n36, Private,167415, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n44, Private,13769, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, >50K.\n26, Private,109390, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,218188, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,32, United-States, <=50K.\n49, Private,167159, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n72, Private,128529, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,28, United-States, <=50K.\n22, Private,200973, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K.\n22, Private,118235, HS-grad,9, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Male,0,0,55, United-States, <=50K.\n23, Local-gov,250165, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,594,0,40, United-States, <=50K.\n47, Private,269620, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K.\n46, Private,212162, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n25, Private,147638, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, India, <=50K.\n42, Private,304605, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,165267, 9th,5, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n28, Private,122037, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n63, Self-emp-inc,165611, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n21, Private,262634, 7th-8th,4, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, United-States, <=50K.\n46, Private,280766, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, Cuba, <=50K.\n21, Private,226668, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, Other, Male,0,0,40, United-States, <=50K.\n37, Private,130200, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K.\n17, Private,98005, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n47, Private,308857, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n51, Private,108914, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n64, Local-gov,210464, Masters,14, Widowed, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n30, Private,172748, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,192140, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n21, Private,126568, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, United-States, <=50K.\n50, Private,179339, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n43, Local-gov,31621, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K.\n39, Private,365009, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Private,344698, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K.\n42, Private,159911, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,24, United-States, <=50K.\n25, Private,389456, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K.\n48, Private,167472, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n17, Private,201412, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,594,0,5, United-States, <=50K.\n26, Self-emp-not-inc,331861, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K.\n58, Private,97541, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,46, United-States, >50K.\n34, Private,71865, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female,0,0,40, Portugal, <=50K.\n29, Private,196564, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,218956, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,20, United-States, <=50K.\n27, Private,37359, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K.\n41, Private,184630, Bachelors,13, Divorced, Handlers-cleaners, Not-in-family, White, Male,4416,0,40, United-States, <=50K.\n17, Local-gov,161955, 11th,7, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,30, United-States, <=50K.\n24, Private,200089, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Guatemala, <=50K.\n39, Self-emp-not-inc,193026, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n72, Self-emp-not-inc,336423, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n52, State-gov,184529, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,153876, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,53, United-States, <=50K.\n22, Private,269687, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K.\n27, Private,153805, Some-college,10, Never-married, Craft-repair, Unmarried, Other, Male,0,0,45, Ecuador, <=50K.\n43, Private,151504, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,330087, Assoc-acdm,12, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n59, Private,164970, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,60, United-States, <=50K.\n23, Private,239539, Some-college,10, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,40, ?, >50K.\n55, Self-emp-not-inc,50215, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,0,0,42, United-States, <=50K.\n51, Local-gov,80123, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,35, United-States, <=50K.\n54, ?,55139, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,43, United-States, <=50K.\n44, ?,276096, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,45, United-States, <=50K.\n41, Private,222813, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n24, Private,172232, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K.\n54, Self-emp-not-inc,386773, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n38, Private,87556, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n38, State-gov,169926, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,21, United-States, >50K.\n41, Private,104196, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n34, Private,320027, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K.\n59, Private,116637, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,307640, Assoc-voc,11, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n69, ?,138386, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,1409,0,35, United-States, <=50K.\n25, Private,269015, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n30, Private,90308, Preschool,1, Never-married, Other-service, Unmarried, White, Male,0,0,28, El-Salvador, <=50K.\n41, Local-gov,39581, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,4101,0,40, United-States, <=50K.\n49, Self-emp-not-inc,241688, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Cuba, <=50K.\n22, Local-gov,467759, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K.\n39, Private,303677, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,15, United-States, <=50K.\n56, Private,47392, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,97925, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Local-gov,243240, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K.\n29, Private,472344, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n41, Private,177054, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K.\n43, Local-gov,212206, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n34, Private,244147, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,167336, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, United-States, <=50K.\n43, State-gov,135060, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, ?, >50K.\n49, Private,52184, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,159187, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K.\n35, Federal-gov,22494, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n36, Private,219745, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n67, Private,113323, Masters,14, Divorced, Adm-clerical, Unmarried, White, Male,0,0,41, United-States, <=50K.\n36, Private,181099, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,216741, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Local-gov,106365, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n45, Private,124973, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n37, Private,73199, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n49, Federal-gov,362679, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,9, United-States, >50K.\n29, Private,197222, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n56, Private,33115, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n42, Federal-gov,37997, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,162067, Masters,14, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, Haiti, <=50K.\n35, Private,133839, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n33, Self-emp-not-inc,398874, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Self-emp-inc,289224, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, Private,261259, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K.\n61, Private,438587, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n31, Private,271162, 11th,7, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n66, ?,115880, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K.\n21, Private,29810, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,277695, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, Mexico, <=50K.\n35, Private,277347, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K.\n43, ?,220445, HS-grad,9, Widowed, ?, Own-child, Black, Male,0,0,40, United-States, <=50K.\n29, Private,231507, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n28, Private,184477, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n24, Private,174714, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K.\n24, Private,118792, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K.\n46, Local-gov,274689, Assoc-acdm,12, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,148315, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,45, United-States, <=50K.\n24, Private,99844, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,60, United-States, <=50K.\n36, State-gov,143437, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Other, Female,0,0,40, United-States, <=50K.\n22, Private,114357, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n46, ?,427055, Some-college,10, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, >50K.\n68, Local-gov,137518, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,33, United-States, <=50K.\n33, Private,183125, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n28, Private,269317, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K.\n46, State-gov,107682, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n30, Private,159589, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,50, United-States, >50K.\n50, Private,46401, Bachelors,13, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,20, Germany, <=50K.\n69, Self-emp-not-inc,164754, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K.\n63, ?,109446, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,314068, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n22, Private,242138, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n39, Federal-gov,203070, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,266960, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n29, Self-emp-not-inc,239511, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K.\n65, ?,244749, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, Cuba, <=50K.\n23, Private,244698, 5th-6th,3, Never-married, Farming-fishing, Other-relative, White, Male,0,0,35, Mexico, <=50K.\n25, Private,207258, 9th,5, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n61, Private,111563, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,27, United-States, <=50K.\n50, Private,233149, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n61, Private,166789, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2246,50, United-States, >50K.\n54, Self-emp-inc,22743, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,99999,0,70, United-States, >50K.\n41, Local-gov,180599, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,28738, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,259846, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n24, Self-emp-inc,158950, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n23, Private,185948, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n67, ?,187553, 7th-8th,4, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n49, Private,169092, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,5178,0,40, Canada, >50K.\n40, Private,129298, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,120204, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n49, Local-gov,229337, HS-grad,9, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,183674, 12th,8, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,25, ?, <=50K.\n34, Private,538243, Some-college,10, Separated, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n38, Private,108947, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n35, Private,128516, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, <=50K.\n28, Private,147560, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, Private,131808, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,40, United-States, >50K.\n33, Private,234537, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Local-gov,165160, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n51, Private,90275, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K.\n26, Local-gov,143583, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Self-emp-not-inc,210020, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,135603, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n59, ?,441227, Masters,14, Married-civ-spouse, ?, Husband, Black, Male,7298,0,50, United-States, >50K.\n38, Private,341943, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n64, Private,38274, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,327435, Some-college,10, Separated, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, >50K.\n27, Federal-gov,175262, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Private,376474, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,65, United-States, <=50K.\n38, Private,171150, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,3781,0,78, United-States, <=50K.\n32, Private,459465, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n37, Local-gov,188391, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Male,0,0,60, United-States, >50K.\n37, Private,196373, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,122913, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n35, State-gov,37314, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n37, Private,198492, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,20946, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Private,281608, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n31, Self-emp-not-inc,213643, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,1590,60, United-States, <=50K.\n18, Private,39222, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n23, Private,208238, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n53, Private,261207, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Peru, <=50K.\n36, Private,131192, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n75, Private,148214, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n54, Self-emp-not-inc,155965, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, United-States, <=50K.\n25, Private,269004, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,97883, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,48, Italy, <=50K.\n52, Private,177942, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n38, Local-gov,360494, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n45, Self-emp-not-inc,45136, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K.\n28, Private,173483, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,5013,0,20, United-States, <=50K.\n19, Private,205953, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,20, United-States, <=50K.\n41, Private,169823, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,46, United-States, >50K.\n18, Private,99591, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K.\n42, Private,32627, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,378009, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n48, Private,233511, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,173987, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n45, Private,162302, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K.\n24, Private,192812, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n65, Private,217661, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2246,40, United-States, >50K.\n61, Private,353031, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n21, Private,155483, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,274158, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K.\n35, Local-gov,26987, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1876,45, United-States, <=50K.\n49, Private,68493, HS-grad,9, Married-spouse-absent, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n19, ?,257421, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,15, United-States, <=50K.\n26, Private,38257, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n22, Local-gov,175586, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Female,0,0,20, United-States, <=50K.\n49, Private,316323, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,48, United-States, >50K.\n36, Private,117802, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Self-emp-not-inc,454950, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n17, Private,284277, 11th,7, Never-married, Other-service, Own-child, White, Male,1055,0,20, United-States, <=50K.\n32, State-gov,90409, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K.\n43, Private,248094, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,44, United-States, >50K.\n29, Private,138692, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,173938, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n65, ?,146722, 12th,8, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n31, Private,145439, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n24, Private,324445, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,176410, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K.\n25, Private,129275, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,399123, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n51, Private,76044, Masters,14, Divorced, Prof-specialty, Unmarried, Other, Male,4787,0,35, Mexico, >50K.\n28, Private,87632, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,43, United-States, <=50K.\n33, Private,269605, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,32, United-States, <=50K.\n46, Private,37718, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,50, United-States, >50K.\n70, ?,162659, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K.\n45, Self-emp-not-inc,277434, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Private,209205, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n75, ?,34235, HS-grad,9, Widowed, ?, Not-in-family, White, Female,2964,0,14, United-States, <=50K.\n41, Private,141186, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n48, Private,123681, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,174215, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, <=50K.\n17, Private,96354, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n64, ?,109108, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n37, Private,107302, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n51, Local-gov,250054, Some-college,10, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n51, Private,50459, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1740,40, United-States, <=50K.\n57, Local-gov,22975, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K.\n29, Private,97189, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n28, Private,238859, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,20, United-States, <=50K.\n26, State-gov,239303, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,3942,0,7, United-States, <=50K.\n33, Private,310655, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n42, Private,276218, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K.\n30, Private,94235, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K.\n45, Private,135339, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,45, United-States, <=50K.\n20, Private,199703, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,28, United-States, <=50K.\n36, Private,52532, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n64, State-gov,186376, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K.\n29, Private,229124, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, >50K.\n18, Private,152508, 11th,7, Married-civ-spouse, Sales, Wife, Other, Female,0,0,20, United-States, <=50K.\n45, Private,54260, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n31, Private,48520, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K.\n66, Self-emp-not-inc,439777, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K.\n49, Private,191389, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Private,118714, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,34616, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n29, ?,199074, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n20, ?,112858, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,2, United-States, <=50K.\n22, Private,199555, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n21, ?,211013, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n46, Private,107425, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n62, Private,106549, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n41, State-gov,110556, Masters,14, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,265097, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Germany, <=50K.\n41, Private,215219, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n61, Self-emp-not-inc,142988, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n64, Private,239450, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n18, Private,162084, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n34, Private,83066, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n36, Private,181705, Some-college,10, Separated, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n80, Private,138737, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K.\n24, Federal-gov,332194, 9th,5, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n20, Private,291979, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,35, United-States, <=50K.\n64, Private,162761, Some-college,10, Widowed, Sales, Not-in-family, White, Male,2354,0,35, United-States, <=50K.\n21, Private,153643, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,70, United-States, <=50K.\n52, Private,30908, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n31, Private,92179, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n66, Self-emp-inc,50408, 12th,8, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K.\n50, Federal-gov,191013, HS-grad,9, Separated, Sales, Other-relative, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n62, Private,170969, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K.\n19, ?,302229, HS-grad,9, Never-married, ?, Own-child, Black, Male,0,0,10, United-States, <=50K.\n49, Private,80026, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Private,93056, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Local-gov,414791, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,37894, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1719,30, United-States, <=50K.\n31, Local-gov,164243, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,55, United-States, >50K.\n41, Self-emp-not-inc,36651, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n22, Self-emp-not-inc,26248, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,50, United-States, <=50K.\n41, Private,244522, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,42, United-States, >50K.\n39, Private,183279, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K.\n63, Private,177063, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,220220, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,47, United-States, <=50K.\n58, Private,180779, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,238787, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,20, United-States, <=50K.\n38, Private,32086, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,52, United-States, <=50K.\n35, Private,302149, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K.\n43, Self-emp-not-inc,136986, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K.\n47, State-gov,61062, Doctorate,16, Separated, Exec-managerial, Own-child, Asian-Pac-Islander, Male,2354,0,45, United-States, <=50K.\n33, Private,260782, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n21, Private,82061, 5th-6th,3, Never-married, Craft-repair, Not-in-family, Other, Male,0,0,32, Mexico, <=50K.\n22, Private,254351, HS-grad,9, Married-civ-spouse, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n25, Private,128699, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n59, Private,171328, Bachelors,13, Married-spouse-absent, Prof-specialty, Other-relative, Black, Female,2202,0,37, United-States, <=50K.\n24, ?,152719, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,15, Haiti, <=50K.\n42, Private,97688, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7298,0,40, United-States, >50K.\n33, Private,199248, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K.\n25, Private,67240, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K.\n27, Private,1490400, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,188503, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, >50K.\n40, Private,180206, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,201872, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Private,314373, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n36, Private,107737, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K.\n44, Private,209093, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, Local-gov,218357, HS-grad,9, Separated, Transport-moving, Unmarried, White, Female,0,0,25, United-States, <=50K.\n43, Private,163434, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,326701, 5th-6th,3, Separated, Craft-repair, Not-in-family, Other, Male,0,0,40, Mexico, <=50K.\n41, Private,164612, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K.\n29, Self-emp-not-inc,37429, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K.\n31, Private,408208, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,30, United-States, <=50K.\n54, Private,105638, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,81259, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,36, United-States, <=50K.\n37, Private,201141, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n27, Private,394927, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n52, Federal-gov,165998, Prof-school,15, Married-civ-spouse, Armed-Forces, Husband, White, Male,7298,0,50, United-States, >50K.\n40, Private,41888, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,2415,70, United-States, >50K.\n24, Private,72887, HS-grad,9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n49, Private,56551, 9th,5, Divorced, Craft-repair, Unmarried, White, Female,5455,0,45, United-States, <=50K.\n22, Private,227603, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Female,0,0,30, United-States, <=50K.\n28, Private,203776, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Poland, <=50K.\n61, Private,202060, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,34, United-States, <=50K.\n59, Private,178282, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688,0,40, United-States, >50K.\n31, Private,57151, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,399455, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,52, United-States, <=50K.\n37, Private,52630, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,124692, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n21, Private,278254, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n40, Private,162098, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,304143, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n37, Federal-gov,287031, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K.\n38, Private,102478, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,172425, HS-grad,9, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K.\n48, Private,56664, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Private,247514, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, >50K.\n30, Private,307353, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n37, Private,111129, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,39, United-States, <=50K.\n29, Private,190539, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, Greece, >50K.\n47, Self-emp-inc,224314, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n47, Self-emp-not-inc,59987, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2002,42, United-States, <=50K.\n33, Local-gov,111746, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n24, Private,162958, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,1980,50, United-States, <=50K.\n68, ?,129802, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,12, United-States, <=50K.\n43, Private,303155, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n25, Private,301634, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Private,156294, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K.\n50, Private,145033, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,60, United-States, >50K.\n19, ?,768659, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n32, Private,134679, 11th,7, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,40, United-States, <=50K.\n30, Private,188798, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n41, Private,122033, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,99, United-States, <=50K.\n21, ?,223515, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, Private,235124, 12th,8, Divorced, Other-service, Not-in-family, White, Male,0,0,30, ?, <=50K.\n47, Private,341814, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, <=50K.\n34, State-gov,764638, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,4787,0,47, United-States, >50K.\n47, Federal-gov,303637, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n31, Private,307543, 10th,6, Never-married, Transport-moving, Own-child, White, Male,0,0,99, Cuba, <=50K.\n45, Local-gov,151267, Some-college,10, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,25, United-States, <=50K.\n40, Private,157403, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,38, United-States, <=50K.\n31, Private,124483, Masters,14, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,60, India, >50K.\n32, Private,26803, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n40, Private,131899, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,119992, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2603,60, United-States, <=50K.\n31, Private,198068, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n31, Private,264351, 12th,8, Separated, Adm-clerical, Own-child, White, Male,0,0,40, Mexico, <=50K.\n18, ?,352430, 11th,7, Never-married, ?, Own-child, White, Male,0,1602,30, United-States, <=50K.\n61, Private,29797, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K.\n28, Private,54670, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,40, ?, <=50K.\n47, Private,192713, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n55, Self-emp-inc,79662, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n35, Private,190023, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,301251, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, Private,115336, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K.\n58, Self-emp-not-inc,98015, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,32, United-States, >50K.\n33, Self-emp-not-inc,48189, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Private,248754, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n30, Private,195602, 12th,8, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,44, United-States, <=50K.\n45, State-gov,185797, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,3325,0,60, United-States, <=50K.\n51, Private,192588, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Philippines, <=50K.\n44, Private,160837, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Puerto-Rico, <=50K.\n54, Local-gov,128378, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,335846, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K.\n19, Private,179991, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n31, Private,151763, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,127875, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n27, Self-emp-not-inc,132686, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n44, Self-emp-inc,240900, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,65876, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K.\n46, State-gov,165852, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n30, Self-emp-not-inc,437458, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n63, Self-emp-not-inc,261995, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,342480, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K.\n58, Private,270131, 5th-6th,3, Widowed, Other-service, Unmarried, White, Female,0,0,70, Mexico, <=50K.\n48, Private,216414, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,70, United-States, >50K.\n30, Private,259425, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n45, Private,144086, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n63, Self-emp-not-inc,246124, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n53, Private,321865, Prof-school,15, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K.\n42, Private,32080, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n31, Local-gov,201697, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n32, Local-gov,300687, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n27, Private,307724, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, ?, <=50K.\n60, Private,40856, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,1741,40, United-States, <=50K.\n24, ?,115085, HS-grad,9, Married-civ-spouse, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n37, State-gov,202139, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n34, Private,190151, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K.\n40, Local-gov,208277, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K.\n19, Private,107405, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,194096, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n36, Private,162029, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,3325,0,40, United-States, <=50K.\n46, Private,172155, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Peru, <=50K.\n51, Self-emp-inc,114674, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n27, Private,116298, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Local-gov,320510, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,56, United-States, >50K.\n31, Private,158144, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Private,181651, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,51150, 12th,8, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n41, State-gov,118544, Some-college,10, Divorced, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K.\n54, Private,85423, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n34, Private,56460, Bachelors,13, Never-married, Sales, Unmarried, White, Female,0,0,41, United-States, <=50K.\n28, Private,211208, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n17, Private,154337, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,13, United-States, <=50K.\n22, Private,125542, 11th,7, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Private,175847, 5th-6th,3, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, Mexico, >50K.\n34, Private,229731, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,35, El-Salvador, <=50K.\n45, Self-emp-not-inc,40666, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,2885,0,60, United-States, <=50K.\n58, Federal-gov,215900, HS-grad,9, Never-married, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n75, ?,186792, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n18, ?,151552, 11th,7, Never-married, ?, Other-relative, White, Female,0,0,15, United-States, <=50K.\n45, Private,122002, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n32, Private,32174, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n34, Private,349148, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,63, United-States, <=50K.\n34, Private,209691, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,66, United-States, <=50K.\n49, Private,163021, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n18, Local-gov,283342, 10th,6, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n41, ?,45186, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,175398, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n30, Private,175455, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n17, Private,194946, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n58, ?,183869, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,3411,0,80, United-States, <=50K.\n19, ?,167428, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Private,227615, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n44, Local-gov,196797, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,36, United-States, >50K.\n28, Local-gov,273051, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Local-gov,27085, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,235646, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n25, ?,168358, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n40, Private,167725, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,91819, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K.\n27, Private,105830, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n59, Private,201159, 12th,8, Widowed, Machine-op-inspct, Other-relative, White, Female,0,0,48, United-States, <=50K.\n18, Private,137363, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n27, Self-emp-not-inc,164725, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,3464,0,35, United-States, <=50K.\n47, Private,29438, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n67, Private,131656, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2392,24, United-States, >50K.\n33, State-gov,35306, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,44, United-States, <=50K.\n63, Private,198206, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n40, Private,103513, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,143078, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,109494, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1485,40, United-States, <=50K.\n28, Private,52732, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,164495, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, Germany, <=50K.\n20, Self-emp-not-inc,105997, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n49, Federal-gov,105959, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,41, United-States, >50K.\n18, Private,216540, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Private,159623, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Federal-gov,87207, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,37, United-States, <=50K.\n57, Private,47621, 9th,5, Married-civ-spouse, Other-service, Wife, White, Female,0,0,38, United-States, <=50K.\n35, Private,190297, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,65, United-States, >50K.\n66, Private,48034, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, United-States, <=50K.\n47, Local-gov,162236, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, >50K.\n57, Private,104724, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,129806, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K.\n35, Private,170174, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Local-gov,265148, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K.\n29, Private,192237, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, Private,406491, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,231866, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,292055, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n30, Private,140612, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,40, United-States, <=50K.\n26, Private,191573, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n52, Private,203635, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,171483, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,38, United-States, <=50K.\n36, Private,68798, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n34, Private,31752, HS-grad,9, Divorced, Machine-op-inspct, Other-relative, White, Female,0,0,40, ?, <=50K.\n59, ?,291856, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,135848, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,10, Guatemala, <=50K.\n22, Private,72887, Some-college,10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male,0,0,24, United-States, <=50K.\n47, Private,275163, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n65, Private,29276, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,2538,0,50, United-States, <=50K.\n50, Private,224207, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n50, Local-gov,237356, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,40, United-States, >50K.\n29, Private,393829, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n58, Self-emp-not-inc,193720, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,20, United-States, <=50K.\n56, Self-emp-not-inc,140729, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n22, Private,54560, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n34, Self-emp-not-inc,214288, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3411,0,80, United-States, <=50K.\n45, Self-emp-inc,88500, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, United-States, >50K.\n30, Private,287092, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,2354,0,40, United-States, <=50K.\n40, Private,225263, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K.\n52, Local-gov,140027, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n44, Private,32000, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n44, Private,228516, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,20, Portugal, <=50K.\n27, Private,157612, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n24, Private,197200, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,44, United-States, <=50K.\n28, Private,89598, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,45, United-States, <=50K.\n40, Private,153799, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,72, ?, >50K.\n67, ?,101761, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n49, Private,225456, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,348960, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Local-gov,157111, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,85877, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,99999,0,60, United-States, >50K.\n72, Self-emp-not-inc,32819, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n21, ?,517995, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n59, Private,103948, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,96016, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,60668, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,50, United-States, <=50K.\n29, Local-gov,270379, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n29, Private,190756, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K.\n59, Local-gov,221417, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,158940, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,55, United-States, <=50K.\n67, State-gov,121395, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,12, United-States, <=50K.\n26, Private,196866, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n35, Private,302239, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,718736, Some-college,10, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n31, Private,178615, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,158096, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, ?,317988, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,15, United-States, <=50K.\n23, Private,325596, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,120461, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n80, ?,30680, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K.\n22, Private,125010, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n67, Private,268781, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1510,8, United-States, <=50K.\n46, Private,36020, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,433682, Bachelors,13, Never-married, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n32, Local-gov,349148, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n44, Self-emp-inc,148805, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,33, United-States, <=50K.\n24, Private,285775, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Local-gov,126524, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,40, United-States, >50K.\n52, Private,270221, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,44, United-States, >50K.\n24, Private,117222, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,118941, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n59, Private,172667, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,241306, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013,0,40, United-States, <=50K.\n33, State-gov,292317, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,182918, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7298,0,46, United-States, >50K.\n76, Self-emp-not-inc,106430, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n41, ?,119207, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,377692, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Private,284907, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n65, Federal-gov,190160, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Male,0,1944,20, Poland, <=50K.\n65, Self-emp-inc,226215, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Private,169324, 9th,5, Divorced, Other-service, Unmarried, Black, Female,0,0,40, Haiti, <=50K.\n22, Private,191460, 10th,6, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,219155, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n66, ?,52654, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K.\n64, Self-emp-not-inc,198466, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,70, United-States, <=50K.\n47, Private,255965, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n38, ?,54953, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n25, Private,290441, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n44, Federal-gov,206927, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n66, Self-emp-inc,165609, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Self-emp-inc,206609, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,1876,50, United-States, <=50K.\n64, Private,211846, 10th,6, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,102446, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K.\n26, Private,114483, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n43, Private,199657, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K.\n40, Private,192878, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,346081, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n24, Private,26668, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Puerto-Rico, <=50K.\n72, ?,272425, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,3818,0,4, United-States, <=50K.\n68, Local-gov,159643, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,15, United-States, <=50K.\n51, ?,22743, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K.\n21, Private,142875, 10th,6, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K.\n18, ?,256304, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,30, United-States, <=50K.\n36, Private,163380, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n48, Private,162187, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K.\n32, Private,153353, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n75, Self-emp-inc,134414, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n25, Private,39212, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,344060, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7298,0,40, Japan, >50K.\n17, Local-gov,140240, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n70, ?,210722, Prof-school,15, Divorced, ?, Not-in-family, White, Male,2538,0,45, United-States, <=50K.\n32, Private,285946, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n34, Private,216645, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n54, Private,54065, 7th-8th,4, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n24, Private,44159, 12th,8, Never-married, Other-service, Other-relative, Other, Male,0,0,40, Dominican-Republic, <=50K.\n46, Private,188729, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, Black, Female,0,0,50, United-States, <=50K.\n44, Self-emp-not-inc,296982, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, ?, <=50K.\n56, Local-gov,277203, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,153949, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K.\n46, Federal-gov,269890, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, <=50K.\n35, Federal-gov,61518, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n39, Private,176050, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,47, United-States, >50K.\n25, Private,202700, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K.\n18, Private,477083, 11th,7, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n50, Private,221532, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,282155, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,4650,0,40, United-States, <=50K.\n38, Private,365307, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n26, Private,248776, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,166863, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,191149, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K.\n22, Private,126822, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n20, Private,281743, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K.\n27, Private,212041, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n31, Private,264351, 7th-8th,4, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Mexico, <=50K.\n54, Private,117198, HS-grad,9, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n38, Private,202937, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n53, ?,201062, HS-grad,9, Married-civ-spouse, ?, Wife, Black, Female,0,0,2, United-States, <=50K.\n51, Private,96062, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Self-emp-not-inc,99902, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Ireland, >50K.\n54, Private,76268, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,80, United-States, <=50K.\n64, Private,200517, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,39, United-States, <=50K.\n48, ?,222478, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K.\n19, ?,168471, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K.\n52, Private,403027, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n34, Self-emp-not-inc,201292, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n39, Self-emp-not-inc,360814, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n51, Private,155574, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,135525, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, >50K.\n42, Self-emp-not-inc,24763, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n38, Self-emp-inc,184456, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, Italy, >50K.\n40, Private,30412, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, State-gov,93225, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n60, Self-emp-not-inc,359988, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,12, United-States, <=50K.\n60, Self-emp-not-inc,122314, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K.\n59, Federal-gov,51662, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n30, Private,137991, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,0,41, United-States, <=50K.\n47, State-gov,119458, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n42, Private,208068, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Other, Male,7298,0,40, Mexico, >50K.\n32, Private,219553, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n23, Private,308924, HS-grad,9, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n27, Private,169748, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n55, Private,164970, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,38, United-States, <=50K.\n39, Private,190987, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,50, United-States, <=50K.\n33, Private,250804, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, England, <=50K.\n30, Private,85374, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n81, Private,39667, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,20, United-States, <=50K.\n41, Private,84817, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,3887,0,40, United-States, <=50K.\n38, Private,227615, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n54, Private,155737, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,8614,0,40, United-States, >50K.\n38, Private,133935, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,41, El-Salvador, >50K.\n22, Federal-gov,316438, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K.\n44, Private,107433, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n36, State-gov,28572, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n32, Self-emp-not-inc,291414, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n22, Private,202153, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, Private,324655, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,27207, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K.\n30, Private,184435, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n34, Private,122749, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,32, United-States, <=50K.\n36, Private,181146, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, <=50K.\n21, Private,225311, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,33474, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n42, Private,126319, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n52, Private,247806, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n50, Private,85815, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,38, United-States, >50K.\n48, Private,204629, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n63, Private,195540, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, Black, Male,0,1408,40, United-States, <=50K.\n27, Private,113866, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n31, Private,114691, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Ireland, <=50K.\n22, ?,227943, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n45, Private,310260, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n35, Private,189922, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,52, United-States, >50K.\n54, Private,249949, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n23, ?,38455, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,11, United-States, <=50K.\n51, Private,123429, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, United-States, >50K.\n71, Private,99549, 5th-6th,3, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,98954, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,49794, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n47, ?,80451, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,129764, Some-college,10, Divorced, Sales, Unmarried, White, Male,1506,0,50, United-States, <=50K.\n29, Private,189702, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,10520,0,50, United-States, >50K.\n59, Self-emp-not-inc,78020, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,182843, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n42, Private,53956, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n31, State-gov,223376, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n44, Federal-gov,151933, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1485,40, United-States, >50K.\n47, Private,100931, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n23, Private,442478, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,15, United-States, <=50K.\n24, Private,153082, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n46, Private,182414, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n35, Local-gov,217926, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K.\n36, Private,176536, Some-college,10, Separated, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Female,0,0,42, United-States, <=50K.\n37, Private,237943, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Poland, <=50K.\n20, Private,117789, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K.\n59, Private,113838, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,4650,0,37, United-States, <=50K.\n17, Private,278414, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K.\n36, Private,122493, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n57, Private,110820, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,106141, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K.\n43, Self-emp-not-inc,215896, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,50, United-States, <=50K.\n49, Private,547108, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,15024,0,40, ?, >50K.\n50, Federal-gov,169078, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,40, United-States, >50K.\n69, Self-emp-not-inc,227906, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3456,0,30, Germany, <=50K.\n57, Private,61298, 5th-6th,3, Separated, Machine-op-inspct, Other-relative, White, Female,0,0,40, Ecuador, <=50K.\n49, Private,184285, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,64156, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n61, Private,56248, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, >50K.\n51, Private,171275, 7th-8th,4, Divorced, Other-service, Not-in-family, Other, Male,0,0,40, Peru, <=50K.\n41, Private,123490, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n60, Private,420842, Assoc-acdm,12, Divorced, Priv-house-serv, Other-relative, White, Female,0,0,40, ?, <=50K.\n40, Private,51233, Bachelors,13, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,38, United-States, <=50K.\n36, Private,353263, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n17, Private,262031, 12th,8, Never-married, Other-service, Other-relative, White, Male,0,0,20, United-States, <=50K.\n50, Private,334421, Prof-school,15, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,0,1590,25, China, <=50K.\n24, Private,200153, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n70, ?,187972, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Federal-gov,360186, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n20, Private,368832, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n36, Private,359131, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n35, Self-emp-not-inc,295279, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,37, United-States, <=50K.\n34, Private,378272, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,150817, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n40, Self-emp-not-inc,145246, Some-college,10, Divorced, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n51, Private,185490, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,217424, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K.\n24, Private,190483, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n50, Self-emp-not-inc,391016, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,30509, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,3908,0,50, United-States, <=50K.\n28, Private,267661, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n57, Private,197369, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,393691, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,168441, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n47, Self-emp-inc,85109, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n22, Private,190457, 10th,6, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n37, Self-emp-not-inc,289430, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n39, Private,166697, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,35, United-States, <=50K.\n24, Local-gov,310355, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, Germany, <=50K.\n31, Private,300828, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,30, United-States, <=50K.\n20, Private,188923, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,37, United-States, <=50K.\n36, Private,167482, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,114968, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,102988, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, Ecuador, >50K.\n67, Local-gov,330144, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,18, United-States, <=50K.\n47, Private,362654, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,179481, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n42, Private,204817, Bachelors,13, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,35, United-States, <=50K.\n32, Private,172402, Some-college,10, Never-married, Adm-clerical, Unmarried, Other, Female,0,0,40, United-States, <=50K.\n44, Private,54611, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, State-gov,179151, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,30829, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n50, Private,474229, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,246981, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,23, United-States, <=50K.\n39, Private,271610, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n25, Private,179138, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Local-gov,268722, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,20, United-States, <=50K.\n46, Private,111410, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Local-gov,125550, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, United-States, >50K.\n24, Private,51985, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Private,302584, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n90, Federal-gov,311184, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,99, United-States, <=50K.\n45, Local-gov,133969, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, Thailand, <=50K.\n41, Local-gov,214242, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,72, United-States, >50K.\n29, Private,372149, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K.\n53, Private,203967, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,147344, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,60, ?, <=50K.\n45, Self-emp-inc,139268, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n38, Private,349198, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,21, United-States, >50K.\n43, Private,222756, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2002,44, United-States, <=50K.\n53, Local-gov,196395, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, >50K.\n22, Private,316304, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,50, United-States, <=50K.\n44, Private,347653, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, <=50K.\n40, Private,176063, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K.\n67, Private,176835, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n58, Private,144092, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n23, Private,148709, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n31, Federal-gov,194141, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Self-emp-inc,215423, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,70, United-States, <=50K.\n52, Self-emp-not-inc,128378, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,34431, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,180690, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Private,142712, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,57, United-States, >50K.\n43, State-gov,185619, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,35, United-States, >50K.\n36, Self-emp-not-inc,358373, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,30, United-States, <=50K.\n27, Private,81648, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,244580, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,184570, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, State-gov,210150, Masters,14, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Local-gov,212213, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n37, Private,182148, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,39, United-States, <=50K.\n29, Private,55390, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n58, Private,66788, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Male,0,0,40, Portugal, <=50K.\n43, Federal-gov,265604, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n21, Private,110677, Some-college,10, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K.\n34, Private,320077, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n56, Private,201817, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n43, Private,142725, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1887,80, United-States, >50K.\n44, Self-emp-not-inc,53956, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n45, State-gov,116892, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n33, Private,34572, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n40, State-gov,287008, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n66, Local-gov,30740, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n27, Private,162104, 7th-8th,4, Never-married, Priv-house-serv, Own-child, White, Female,0,0,30, United-States, <=50K.\n65, Private,237024, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, Mexico, <=50K.\n20, Private,228306, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,32, United-States, <=50K.\n18, Private,127388, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n45, Private,72393, Bachelors,13, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K.\n55, Self-emp-inc,160813, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n43, Private,255586, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K.\n21, Private,342575, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K.\n28, Private,181466, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, Private,234108, Assoc-acdm,12, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K.\n28, Private,66414, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,227307, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,43, United-States, >50K.\n23, Private,157145, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n63, Private,252457, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n60, Federal-gov,142769, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n32, Private,49539, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,3674,0,40, United-States, <=50K.\n33, Private,249438, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n30, Private,289293, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,3908,0,40, Dominican-Republic, <=50K.\n68, Self-emp-not-inc,198884, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K.\n53, Local-gov,229259, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K.\n36, Private,289223, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1848,40, United-States, >50K.\n23, Private,42401, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n26, Private,295055, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n42, State-gov,214781, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,1876,38, United-States, <=50K.\n20, Private,95552, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n53, Private,308764, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n36, Private,185394, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Private,358382, Some-college,10, Separated, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n35, Private,195946, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Thailand, <=50K.\n32, Private,296897, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,230961, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n22, Private,169022, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n28, Private,209301, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1848,40, United-States, >50K.\n42, Private,252058, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,30012, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n33, Private,202046, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n22, Private,52262, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n60, Private,96660, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,33, United-States, <=50K.\n50, Self-emp-not-inc,200618, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n58, Private,177368, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,16, United-States, <=50K.\n22, Private,311311, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n47, State-gov,142856, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n28, Private,134890, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,1974,50, United-States, <=50K.\n38, Self-emp-inc,179579, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n67, State-gov,173623, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,4931,0,30, United-States, <=50K.\n76, Self-emp-inc,99328, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,6514,0,40, United-States, >50K.\n41, Local-gov,224799, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n57, Self-emp-inc,231781, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,41763, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Local-gov,51240, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n30, Private,206923, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, Other, Female,0,1977,40, United-States, >50K.\n30, Self-emp-inc,132601, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,357348, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,2202,0,40, United-States, <=50K.\n22, Private,150683, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K.\n40, Self-emp-inc,188615, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,20, United-States, >50K.\n73, Private,159007, Bachelors,13, Divorced, Farming-fishing, Other-relative, White, Female,0,0,12, United-States, <=50K.\n23, Private,130959, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,2407,0,6, Canada, <=50K.\n51, Private,158746, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K.\n29, Private,498833, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Nicaragua, <=50K.\n46, Private,193188, Masters,14, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K.\n29, Self-emp-inc,136277, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,16, United-States, <=50K.\n34, Private,137991, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n38, Self-emp-not-inc,187098, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n62, Private,176839, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n30, State-gov,185384, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K.\n20, Private,87867, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n40, Private,111779, 11th,7, Divorced, Other-service, Unmarried, Black, Female,0,0,36, United-States, <=50K.\n37, Local-gov,185556, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,0,1980,35, United-States, <=50K.\n56, Private,59469, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, <=50K.\n63, Private,164435, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n25, Private,259336, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, Peru, <=50K.\n40, Self-emp-not-inc,277488, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n53, Private,104258, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,141427, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n32, Private,267052, 10th,6, Never-married, Farming-fishing, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n33, Private,114764, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n50, Local-gov,151143, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n37, Private,176357, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,190303, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,2463,0,15, United-States, <=50K.\n28, Private,220692, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n46, Private,181970, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,263339, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K.\n21, Self-emp-not-inc,83704, 9th,5, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K.\n24, Private,324960, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n53, Private,96062, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n54, Private,96678, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n36, Private,33435, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n52, Self-emp-not-inc,399008, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,5013,0,40, United-States, <=50K.\n71, Private,159722, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,25, United-States, <=50K.\n36, Private,225172, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,135033, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Ecuador, <=50K.\n38, Private,179671, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, <=50K.\n56, Private,182460, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Private,231196, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n55, Private,181974, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Private,326104, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n51, Self-emp-inc,126850, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K.\n23, Private,33644, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n40, Private,92649, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n20, Private,353696, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,28, United-States, <=50K.\n36, Private,238342, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,882849, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n49, Self-emp-inc,318280, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n35, Private,151322, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, United-States, >50K.\n31, Self-emp-inc,111567, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Private,279996, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K.\n48, Private,103743, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2002,70, United-States, <=50K.\n53, Private,30846, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,191393, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Male,0,1380,40, United-States, <=50K.\n35, State-gov,140564, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,5013,0,40, United-States, <=50K.\n37, Federal-gov,243177, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n55, Local-gov,104996, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, United-States, <=50K.\n27, Local-gov,191202, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,45, United-States, <=50K.\n47, Private,247379, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n44, Private,96129, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n47, ?,58440, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K.\n24, Private,125031, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n23, Private,183772, Assoc-acdm,12, Never-married, Adm-clerical, Other-relative, White, Female,0,0,70, United-States, <=50K.\n37, Private,78488, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n32, Self-emp-not-inc,121058, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n43, Private,84673, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,38, United-States, >50K.\n30, Private,172830, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,3325,0,40, United-States, <=50K.\n36, Private,307520, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K.\n21, Private,327797, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,108945, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K.\n52, Private,164473, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,38, United-States, <=50K.\n40, Private,144778, Bachelors,13, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K.\n54, Private,69477, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,60, United-States, >50K.\n45, Private,137946, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n28, Private,167737, Bachelors,13, Widowed, Other-service, Own-child, White, Male,0,1974,50, United-States, <=50K.\n30, Private,195602, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, ?, <=50K.\n31, Private,140206, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n42, Self-emp-inc,272551, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,1564,60, United-States, >50K.\n24, Private,114939, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n45, Local-gov,265477, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, France, >50K.\n51, Local-gov,252029, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, >50K.\n29, Self-emp-inc,263786, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K.\n35, Private,397877, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,316438, 5th-6th,3, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n34, Local-gov,283921, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,199903, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n42, Private,339814, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n19, ?,191140, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n33, Private,174215, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, >50K.\n32, Private,124420, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,289228, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,45, United-States, >50K.\n27, Private,200610, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2580,0,40, United-States, <=50K.\n36, Private,140327, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,7298,0,35, United-States, >50K.\n39, Local-gov,86643, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, <=50K.\n33, Private,226624, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,365516, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n27, Private,153288, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,235124, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, ?, <=50K.\n28, Self-emp-inc,160731, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n17, Private,230999, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K.\n38, Private,453663, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K.\n28, Private,250967, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2105,0,40, United-States, <=50K.\n22, ?,96844, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,1602,20, United-States, <=50K.\n41, Federal-gov,149102, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,1980,40, United-States, <=50K.\n42, Private,226452, 9th,5, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, Mexico, <=50K.\n36, Private,34378, 7th-8th,4, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,60, United-States, <=50K.\n37, Local-gov,177277, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n38, Local-gov,316470, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n55, Local-gov,293104, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,380357, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, ?, >50K.\n36, Private,101318, Some-college,10, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, China, >50K.\n32, ?,339099, Some-college,10, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n52, Private,131662, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n20, Private,163333, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,20, United-States, <=50K.\n43, Private,71738, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,141276, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n61, Private,242552, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,37, Honduras, <=50K.\n30, Private,246439, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n38, Federal-gov,81232, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,157568, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,117476, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, State-gov,198201, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K.\n57, Private,167483, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K.\n19, Self-emp-inc,150384, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n18, ?,96244, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,45, United-States, <=50K.\n34, Private,33678, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,4508,0,35, United-States, <=50K.\n42, Private,180985, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K.\n36, Private,101192, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,207561, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n32, Private,105749, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n41, Self-emp-inc,443508, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,60, United-States, >50K.\n23, Private,249087, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K.\n31, Local-gov,279231, Assoc-voc,11, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,180477, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n51, Private,144522, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n36, Local-gov,248263, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, ?,498411, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n57, Private,102442, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n20, Private,262877, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n66, Self-emp-not-inc,325537, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,161638, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, Columbia, <=50K.\n46, Self-emp-not-inc,24367, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, >50K.\n38, Private,108140, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K.\n63, ?,205110, 10th,6, Widowed, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n43, Self-emp-inc,504423, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, Japan, >50K.\n37, Private,264700, HS-grad,9, Married-civ-spouse, Tech-support, Wife, Black, Female,0,0,35, United-States, <=50K.\n22, Private,335067, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n58, Private,153551, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,23, United-States, <=50K.\n43, Private,186077, HS-grad,9, Widowed, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n55, Local-gov,85001, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n45, Self-emp-not-inc,216999, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,107231, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n36, Self-emp-not-inc,52870, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,50, United-States, >50K.\n73, Self-emp-not-inc,228899, 7th-8th,4, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,99, United-States, <=50K.\n29, Local-gov,90956, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,186934, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n57, Self-emp-inc,37394, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n25, ?,30840, Some-college,10, Divorced, ?, Unmarried, White, Female,0,0,40, Germany, <=50K.\n32, Private,185177, Assoc-voc,11, Separated, Tech-support, Own-child, White, Male,0,1590,40, United-States, <=50K.\n34, Private,312055, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K.\n20, Private,176262, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n51, Self-emp-inc,161482, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n51, Private,373448, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2002,40, United-States, <=50K.\n45, Self-emp-not-inc,277630, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,48, United-States, <=50K.\n68, Self-emp-not-inc,150904, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n73, Private,187334, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,328937, 7th-8th,4, Never-married, Other-service, Own-child, Black, Male,0,0,20, United-States, <=50K.\n35, Local-gov,132879, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Private,49159, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n38, Private,133299, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,55, United-States, <=50K.\n62, ?,268315, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Private,176430, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,211344, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Private,162302, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,32, United-States, <=50K.\n51, Private,229225, Masters,14, Divorced, Other-service, Not-in-family, Black, Female,0,0,18, United-States, >50K.\n49, Self-emp-not-inc,77404, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, ?, >50K.\n51, Local-gov,202044, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n28, Private,94128, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, ?,189888, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n32, Private,94041, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K.\n50, State-gov,322840, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Poland, >50K.\n47, Federal-gov,746660, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1887,40, United-States, >50K.\n54, Private,84587, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,38, Philippines, <=50K.\n41, Private,33126, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n29, Private,247445, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Self-emp-not-inc,210377, 10th,6, Married-civ-spouse, Exec-managerial, Wife, Black, Female,0,0,40, United-States, <=50K.\n19, ?,239862, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n33, Private,327112, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n37, Self-emp-not-inc,188563, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n62, ?,189098, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K.\n27, Private,26326, Assoc-voc,11, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n46, Private,145636, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,50, United-States, >50K.\n45, State-gov,255456, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, India, >50K.\n35, Private,196373, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1672,40, United-States, <=50K.\n32, Private,167476, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n32, State-gov,59083, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n36, Self-emp-not-inc,186934, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n62, ?,188650, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n33, Federal-gov,373043, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,34, Germany, <=50K.\n51, Private,250423, Some-college,10, Married-spouse-absent, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n29, Private,334032, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, State-gov,89487, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,230205, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,2001,32, United-States, <=50K.\n33, Private,212980, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n32, Private,351770, Some-college,10, Divorced, Farming-fishing, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, State-gov,167482, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,1980,40, United-States, <=50K.\n23, Private,42251, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n56, Self-emp-not-inc,52822, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K.\n41, Private,229472, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,93034, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K.\n35, Private,415167, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n76, Self-emp-not-inc,161182, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n38, Private,166549, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n42, Private,36296, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Private,272442, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,366139, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K.\n30, Self-emp-inc,127651, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,65, United-States, >50K.\n59, Private,158077, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n33, Private,154950, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n30, Local-gov,197886, Assoc-acdm,12, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,211518, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n26, Private,214303, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n34, Private,154120, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K.\n53, Private,186303, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,488459, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n66, Private,423883, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,117963, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n57, Self-emp-not-inc,38430, 7th-8th,4, Widowed, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K.\n30, Private,176969, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, ?,116839, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n23, Private,212407, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K.\n35, Local-gov,110075, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,50, United-States, >50K.\n40, Private,183096, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, Federal-gov,126754, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n28, Private,216178, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,188391, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n17, ?,27251, 11th,7, Widowed, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n51, Private,40230, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,60, United-States, <=50K.\n47, Private,100009, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n27, ?,222442, Some-college,10, Divorced, ?, Own-child, White, Male,0,0,25, El-Salvador, <=50K.\n24, Local-gov,403471, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,48, United-States, <=50K.\n52, Private,161482, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Private,83141, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,4416,0,53, United-States, <=50K.\n68, Self-emp-inc,31661, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K.\n35, Private,101073, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n53, Local-gov,99682, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,2174,0,40, United-States, <=50K.\n23, Private,215395, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,343476, 11th,7, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n21, Private,178363, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K.\n52, Private,95872, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, ?, <=50K.\n49, Private,90907, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Outlying-US(Guam-USVI-etc), >50K.\n42, Private,165309, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n35, Private,208358, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,37, United-States, >50K.\n42, Private,171069, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,15024,0,40, United-States, >50K.\n46, Private,53540, Some-college,10, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, >50K.\n48, Private,29433, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,55, United-States, <=50K.\n48, Self-emp-not-inc,175622, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,231865, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,46, United-States, <=50K.\n51, Private,266336, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,50, United-States, >50K.\n44, Self-emp-not-inc,190290, Some-college,10, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,80, France, <=50K.\n74, Self-emp-not-inc,45319, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,1409,0,20, Canada, <=50K.\n17, Never-worked,131593, 11th,7, Never-married, ?, Own-child, Black, Female,0,0,20, United-States, <=50K.\n24, Local-gov,177913, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n51, Private,457357, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n43, Self-emp-inc,253811, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,55, United-States, >50K.\n48, Private,501671, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,48, United-States, <=50K.\n35, State-gov,227128, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n40, Federal-gov,39137, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Self-emp-not-inc,121038, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,0,0,43, United-States, <=50K.\n53, State-gov,119570, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n29, ?,99297, HS-grad,9, Married-civ-spouse, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Cambodia, <=50K.\n28, Self-emp-not-inc,169460, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K.\n33, Private,261639, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,4064,0,40, United-States, <=50K.\n21, Private,214542, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,22, United-States, <=50K.\n31, Private,141410, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n39, Private,370549, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, >50K.\n44, Self-emp-not-inc,234767, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, >50K.\n40, Private,104196, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n22, State-gov,52262, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, England, <=50K.\n22, ?,285775, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n60, Private,235336, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,70, United-States, <=50K.\n49, Private,165539, Some-college,10, Never-married, Priv-house-serv, Not-in-family, Black, Female,0,0,90, Jamaica, <=50K.\n41, Private,362815, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n24, State-gov,292816, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n26, Private,66692, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n55, Private,120910, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Self-emp-inc,116133, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,41, United-States, <=50K.\n49, State-gov,247043, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,215616, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n23, Private,131415, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,35, United-States, <=50K.\n64, Self-emp-not-inc,169604, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, >50K.\n50, Private,230858, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n23, Private,73968, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Private,339897, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,258406, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, Mexico, <=50K.\n30, Private,180574, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n44, Private,88808, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,179627, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,149823, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n20, Private,60639, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,46492, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,1902,40, United-States, >50K.\n36, Private,48520, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,306538, 12th,8, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n58, Private,204678, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K.\n48, Private,218676, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Local-gov,95455, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n53, Self-emp-not-inc,335655, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n55, Private,194436, 9th,5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K.\n24, Private,152724, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n28, Private,242482, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Local-gov,162041, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n23, Private,291854, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n22, ?,48343, Some-college,10, Never-married, ?, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n77, ?,153113, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,1455,0,25, United-States, <=50K.\n38, Private,80680, 10th,6, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, ?,211601, Assoc-voc,11, Never-married, ?, Own-child, Black, Female,0,0,15, United-States, <=50K.\n31, Self-emp-inc,264554, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1977,40, United-States, >50K.\n29, Private,319998, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,194228, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Self-emp-not-inc,236247, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K.\n28, Self-emp-not-inc,123983, Masters,14, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,54, South, <=50K.\n49, Private,166215, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,178623, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,35, United-States, <=50K.\n51, Self-emp-not-inc,174102, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,8, United-States, <=50K.\n32, Private,292217, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,40, ?, <=50K.\n44, Private,198452, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,96497, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n62, ?,194660, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,216924, HS-grad,9, Divorced, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K.\n26, Private,206721, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K.\n37, State-gov,49105, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,25, United-States, <=50K.\n62, Federal-gov,164021, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,91608, Prof-school,15, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,323963, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n42, Private,70037, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n61, Private,289950, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K.\n65, Private,213149, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Federal-gov,320451, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,15024,0,40, Philippines, >50K.\n22, Private,351952, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K.\n50, Private,146015, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,281704, Some-college,10, Never-married, Farming-fishing, Other-relative, White, Male,0,0,8, United-States, <=50K.\n44, Federal-gov,786418, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,60, United-States, <=50K.\n29, Private,214689, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, Private,193188, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n55, Self-emp-inc,142020, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, <=50K.\n78, ?,317311, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,213416, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n47, Federal-gov,326048, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,191265, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n47, Private,348986, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,28, Taiwan, <=50K.\n24, Private,126613, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n26, ?,40032, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,150057, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, Poland, <=50K.\n39, Private,113725, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,8614,0,40, United-States, >50K.\n24, Private,140500, 10th,6, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n31, Private,113364, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n65, Private,176219, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, South, <=50K.\n19, Private,146189, HS-grad,9, Never-married, Sales, Other-relative, Amer-Indian-Eskimo, Female,0,0,78, United-States, <=50K.\n45, Private,83993, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,56, United-States, >50K.\n33, Private,194336, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,50, United-States, >50K.\n61, State-gov,349434, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n55, Private,142020, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n27, Private,48894, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,42, United-States, <=50K.\n29, Private,226295, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,36, United-States, <=50K.\n40, Private,77313, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, >50K.\n36, Private,305935, HS-grad,9, Divorced, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n23, Private,287988, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n49, Local-gov,49275, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n39, Private,102865, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,209146, Masters,14, Divorced, Sales, Not-in-family, White, Male,27828,0,40, United-States, >50K.\n40, Private,173001, Some-college,10, Married-civ-spouse, Tech-support, Own-child, White, Female,0,1902,40, United-States, >50K.\n40, Private,277256, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,2559,55, United-States, >50K.\n46, Private,20534, Masters,14, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K.\n35, Private,60227, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, State-gov,176936, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K.\n42, Private,49255, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,4386,0,40, United-States, >50K.\n64, ?,232787, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,235095, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,190531, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n64, Without-pay,209291, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, >50K.\n23, Private,109053, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,60, United-States, <=50K.\n22, Private,183594, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,361608, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n43, Private,257028, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, Haiti, <=50K.\n34, Private,66561, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,37, United-States, <=50K.\n21, Private,176486, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K.\n21, Private,565313, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n34, Local-gov,198953, Some-college,10, Divorced, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n68, State-gov,99106, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n45, Private,213140, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,52, United-States, >50K.\n33, Private,66384, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K.\n41, Private,483201, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n19, ?,466458, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,45, United-States, <=50K.\n30, Private,90446, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K.\n69, Self-emp-not-inc,165017, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,120596, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n36, Private,345310, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K.\n20, ?,94746, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, Portugal, <=50K.\n38, Local-gov,338611, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n40, Self-emp-inc,275366, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n59, Private,188872, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,359397, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,0,40, United-States, <=50K.\n33, Private,158800, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,31510, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,358740, 11th,7, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K.\n31, Private,257148, Bachelors,13, Widowed, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K.\n48, Private,174525, 1st-4th,2, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,52, Dominican-Republic, <=50K.\n52, Private,161599, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n41, Private,193494, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K.\n40, Local-gov,231832, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Local-gov,146834, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K.\n24, Private,63927, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,278403, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, <=50K.\n53, Private,241141, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, ?, <=50K.\n70, Local-gov,127463, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Private,175017, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1672,40, United-States, <=50K.\n54, Private,56741, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n44, Private,107683, Assoc-voc,11, Married-civ-spouse, Craft-repair, Wife, White, Female,4386,0,40, United-States, >50K.\n42, Private,270324, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Jamaica, <=50K.\n47, State-gov,304512, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n34, Private,167049, Bachelors,13, Married-civ-spouse, Priv-house-serv, Wife, White, Female,0,0,20, United-States, >50K.\n39, Self-emp-inc,88973, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,84, United-States, >50K.\n52, Private,210736, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n21, State-gov,73514, HS-grad,9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n57, Self-emp-not-inc,75785, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,70, United-States, <=50K.\n71, Self-emp-not-inc,137723, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,1455,0,3, United-States, <=50K.\n28, Private,220043, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n21, State-gov,132247, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K.\n38, Private,65390, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, ?,177144, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,22, India, <=50K.\n47, Local-gov,358668, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n85, Private,188328, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,5, United-States, <=50K.\n53, Private,350510, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Federal-gov,72257, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688,0,40, United-States, >50K.\n53, Private,183668, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3464,0,34, United-States, <=50K.\n46, Private,168262, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,153536, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,40, United-States, >50K.\n36, Private,189703, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, >50K.\n73, Local-gov,147703, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n23, Private,173670, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, <=50K.\n42, Private,231832, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,45, United-States, >50K.\n39, Private,33223, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n34, Private,130021, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K.\n57, Self-emp-not-inc,50990, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,308241, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,60, United-States, <=50K.\n20, Private,254025, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Private,377622, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n64, Private,217802, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,39477, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,138946, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n17, Private,35603, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n67, Private,142624, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K.\n22, Private,92609, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K.\n41, Self-emp-not-inc,111232, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n22, Private,203518, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n38, Local-gov,233571, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,45093, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,175431, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,2174,0,40, United-States, <=50K.\n90, Private,225063, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, South, <=50K.\n18, Private,391495, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n31, Private,162312, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,35, Philippines, <=50K.\n34, Self-emp-not-inc,151733, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n44, Private,172026, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, >50K.\n17, Private,323164, 10th,6, Never-married, Craft-repair, Own-child, Other, Female,0,0,35, El-Salvador, <=50K.\n67, ?,129824, 7th-8th,4, Widowed, ?, Not-in-family, White, Female,0,0,6, United-States, <=50K.\n21, Private,203715, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n57, Private,156040, 5th-6th,3, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n26, Private,186168, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n33, Private,154227, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,141327, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,103925, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n46, Private,118633, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,80, United-States, <=50K.\n48, Private,207540, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,99999,0,60, United-States, >50K.\n52, Self-emp-not-inc,106728, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K.\n28, Private,192237, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K.\n35, Private,132879, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,40, Italy, >50K.\n17, Private,148345, 11th,7, Never-married, Protective-serv, Own-child, White, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,326292, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K.\n38, Private,33975, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K.\n34, Private,112115, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n36, Private,129357, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Private,175958, Some-college,10, Separated, Other-service, Not-in-family, White, Male,0,0,21, United-States, <=50K.\n58, Private,125317, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n46, Private,424934, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,40, Portugal, <=50K.\n28, Private,204648, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n46, Private,186256, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1902,55, United-States, >50K.\n35, Local-gov,126569, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,89813, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,149576, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,220426, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Private,72055, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,94939, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K.\n29, Federal-gov,104917, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,44, United-States, <=50K.\n23, Private,314645, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n81, Self-emp-not-inc,108604, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n17, Private,153542, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n40, Private,226902, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n19, Private,450200, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n50, Self-emp-not-inc,279129, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K.\n42, Private,242619, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n18, Self-emp-inc,357223, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K.\n38, Private,206951, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n67, Private,70737, 9th,5, Widowed, Handlers-cleaners, Unmarried, White, Female,0,0,32, United-States, <=50K.\n55, Private,200939, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n46, Self-emp-inc,192128, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n31, Private,188798, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n23, ?,202920, Assoc-acdm,12, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n30, Private,205407, HS-grad,9, Divorced, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n23, ?,24008, Some-college,10, Never-married, ?, Own-child, White, Male,0,1719,40, United-States, <=50K.\n52, Private,172962, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n63, Local-gov,83791, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,45, United-States, <=50K.\n69, Private,304838, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,28, United-States, <=50K.\n40, Private,165858, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,80, United-States, >50K.\n33, Private,110592, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n81, Private,164416, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n71, Private,345339, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,28, United-States, <=50K.\n26, Private,129806, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n51, Local-gov,205100, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,32, United-States, >50K.\n26, Local-gov,250551, HS-grad,9, Married-civ-spouse, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n56, Self-emp-not-inc,285832, Masters,14, Married-civ-spouse, Sales, Wife, White, Female,0,0,70, United-States, <=50K.\n18, Private,338717, 11th,7, Never-married, Handlers-cleaners, Not-in-family, Other, Male,0,0,25, United-States, <=50K.\n43, State-gov,187802, Some-college,10, Separated, Craft-repair, Not-in-family, White, Male,0,0,37, United-States, <=50K.\n46, Private,215895, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,4787,0,60, United-States, >50K.\n30, Private,100135, Bachelors,13, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K.\n34, Private,137616, 9th,5, Never-married, Sales, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n36, Private,341672, HS-grad,9, Married-spouse-absent, Adm-clerical, Other-relative, Asian-Pac-Islander, Male,0,0,60, India, <=50K.\n44, Private,322044, Some-college,10, Divorced, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n38, Private,149347, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n43, Self-emp-not-inc,293809, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K.\n46, Local-gov,93639, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n22, ?,166297, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K.\n61, Private,167840, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,2002,38, United-States, <=50K.\n31, Private,180656, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, ?, <=50K.\n41, Self-emp-not-inc,197176, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n25, Private,207965, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n34, Federal-gov,23940, Some-college,10, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n39, Private,67433, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,4650,0,32, United-States, <=50K.\n20, Private,190916, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, Private,235892, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n18, Private,240767, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n27, Private,194515, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,37, United-States, <=50K.\n33, Private,156464, 10th,6, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,117728, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n49, Self-emp-inc,195727, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,133454, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,191177, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,1726,40, United-States, <=50K.\n56, State-gov,71075, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n18, Private,233740, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,18, United-States, <=50K.\n65, Private,185455, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n17, Private,141445, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n27, Private,131712, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1485,50, United-States, >50K.\n23, Private,210338, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,30, United-States, <=50K.\n39, Private,465334, 11th,7, Divorced, Farming-fishing, Unmarried, White, Male,0,0,1, United-States, <=50K.\n46, Private,168069, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n32, Private,80557, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K.\n34, Private,110622, Bachelors,13, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n26, Private,40255, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n80, ?,402748, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,14, Canada, <=50K.\n61, Private,97030, 10th,6, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n19, ?,39477, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n31, Self-emp-not-inc,152351, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K.\n56, Federal-gov,229939, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,131230, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n48, Private,182211, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n73, Private,57435, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, >50K.\n29, ?,225654, HS-grad,9, Never-married, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n28, Private,252424, Assoc-voc,11, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, Cambodia, <=50K.\n48, ?,155509, 11th,7, Divorced, ?, Unmarried, Black, Female,0,0,10, Haiti, <=50K.\n41, Private,29591, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n28, Private,101774, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,50, United-States, >50K.\n37, Local-gov,74194, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n20, Private,171156, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K.\n45, Private,145637, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Female,14344,0,48, United-States, >50K.\n34, Private,172714, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n72, Private,188528, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, Canada, >50K.\n54, Federal-gov,89705, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,165107, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n23, Private,347873, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,30, Vietnam, <=50K.\n21, ?,298342, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n49, Local-gov,53482, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n45, Private,162958, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n41, Self-emp-not-inc,366483, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,36, Mexico, <=50K.\n51, Federal-gov,335481, Some-college,10, Separated, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, >50K.\n40, Private,197609, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,1340,40, United-States, <=50K.\n29, State-gov,160731, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, Germany, <=50K.\n26, Private,210848, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,2635,0,35, Mexico, <=50K.\n59, Private,196126, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,201519, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Local-gov,121124, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n22, State-gov,203518, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n52, Private,254230, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n39, Private,136531, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,47, United-States, <=50K.\n25, Private,108505, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Self-emp-not-inc,31095, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K.\n37, Private,149347, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n33, Self-emp-not-inc,188246, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,1590,60, United-States, <=50K.\n48, State-gov,185859, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, >50K.\n29, Private,227879, Assoc-voc,11, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n59, Private,75541, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,99385, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n49, Private,403061, 1st-4th,2, Never-married, Machine-op-inspct, Other-relative, White, Female,0,0,40, Mexico, <=50K.\n23, State-gov,82067, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,140434, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n34, Private,159268, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n20, ?,162945, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Private,365430, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n50, Self-emp-not-inc,163678, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Private,230919, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,60, United-States, >50K.\n37, Private,112264, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Self-emp-not-inc,192900, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n23, Private,355856, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K.\n20, ?,156916, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,40, United-States, <=50K.\n37, Private,172927, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,1741,70, United-States, <=50K.\n19, ?,170125, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K.\n35, Private,305379, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1887,50, United-States, >50K.\n24, Private,206974, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n23, Federal-gov,482096, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K.\n23, Local-gov,267843, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Female,0,0,32, United-States, <=50K.\n27, Private,173927, Some-college,10, Never-married, Tech-support, Own-child, Other, Female,0,0,32, Jamaica, <=50K.\n25, Private,225865, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K.\n27, State-gov,261278, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,80, ?, <=50K.\n68, ?,180082, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,23, United-States, <=50K.\n45, Private,115187, Assoc-voc,11, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n55, Private,451603, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,145041, Bachelors,13, Divorced, Machine-op-inspct, Other-relative, White, Male,0,2258,50, Dominican-Republic, <=50K.\n31, Self-emp-not-inc,132705, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Local-gov,177695, HS-grad,9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n40, Private,197033, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,307267, Masters,14, Never-married, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K.\n39, Self-emp-not-inc,341643, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,1669,50, United-States, <=50K.\n32, Private,256362, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n55, Self-emp-not-inc,153484, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n46, Federal-gov,308077, Some-college,10, Separated, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K.\n29, Private,156266, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Male,0,0,25, United-States, <=50K.\n49, Self-emp-inc,106634, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,27828,0,35, United-States, >50K.\n59, Private,198435, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n30, Private,37210, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,237914, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n58, Private,186106, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n58, Private,236731, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Cuba, <=50K.\n20, Self-emp-inc,465725, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K.\n43, Private,343121, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n19, Private,298435, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,2001,40, Cuba, <=50K.\n40, State-gov,255824, Masters,14, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n23, Local-gov,255252, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n61, Private,184167, 12th,8, Married-civ-spouse, Craft-repair, Wife, Black, Female,0,0,40, United-States, <=50K.\n54, Private,145419, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n32, Private,87310, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n25, Self-emp-not-inc,55048, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,36, United-States, <=50K.\n30, Private,104052, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K.\n19, Private,41163, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n23, ?,502633, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n65, Private,176279, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K.\n25, Private,279833, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1590,44, United-States, <=50K.\n21, Private,254351, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n48, Private,284916, 9th,5, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, ?, <=50K.\n23, Self-emp-not-inc,188925, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Private,180954, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,108023, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n31, Private,197058, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,2597,0,45, United-States, <=50K.\n58, Private,100303, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,473133, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n32, State-gov,27051, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, >50K.\n29, Private,163708, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,45, United-States, >50K.\n61, Private,52765, HS-grad,9, Divorced, Other-service, Other-relative, White, Female,0,0,99, United-States, <=50K.\n43, Self-emp-inc,84924, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, >50K.\n38, Private,181705, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,52012, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K.\n36, Private,167691, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n45, Federal-gov,182470, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n62, Private,200834, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n46, State-gov,76075, Assoc-voc,11, Divorced, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n42, Self-emp-not-inc,200574, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n31, Private,29144, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n42, Self-emp-not-inc,34722, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,177907, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K.\n51, Private,238481, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1902,42, United-States, >50K.\n45, Private,182541, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n73, Federal-gov,142426, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,25124,0,20, United-States, >50K.\n19, Private,216413, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,55, United-States, <=50K.\n29, Private,30070, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,82699, Prof-school,15, Divorced, Prof-specialty, Not-in-family, Black, Female,13550,0,70, United-States, >50K.\n32, Private,236861, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n46, Private,114328, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,198229, Prof-school,15, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,65, United-States, >50K.\n24, Private,138892, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n41, Local-gov,271927, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n64, ?,220258, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n28, Private,212588, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n57, Private,477867, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,394927, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n35, Private,155611, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Female,114,0,40, United-States, <=50K.\n39, Private,109351, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K.\n38, Private,206520, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,156526, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,315437, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,181665, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,50, United-States, <=50K.\n40, Private,60594, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K.\n29, Private,221233, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,37, United-States, <=50K.\n36, Self-emp-inc,176900, Some-college,10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,25, United-States, <=50K.\n47, Private,64563, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,42, United-States, >50K.\n23, Private,99408, Some-college,10, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,219869, Some-college,10, Widowed, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K.\n41, Local-gov,135056, Masters,14, Never-married, Prof-specialty, Own-child, White, Female,8614,0,50, United-States, >50K.\n18, Private,79077, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,22, United-States, <=50K.\n34, Private,255830, Assoc-acdm,12, Divorced, Craft-repair, Unmarried, Black, Female,7443,0,40, United-States, <=50K.\n38, Self-emp-not-inc,22245, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n34, Private,150154, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n62, State-gov,342049, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n66, Self-emp-not-inc,99927, HS-grad,9, Widowed, Tech-support, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n18, Private,191784, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n41, Private,175883, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,328239, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n45, Private,107231, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n24, Local-gov,155818, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n60, Private,282421, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, ?, <=50K.\n39, Private,241998, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Federal-gov,55363, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K.\n29, Private,137240, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n37, Private,361951, Bachelors,13, Never-married, Sales, Not-in-family, Black, Male,0,0,48, ?, <=50K.\n21, State-gov,311311, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,12, United-States, <=50K.\n48, Private,186299, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,168055, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K.\n23, Private,305423, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n49, Private,393715, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n29, Private,36440, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Self-emp-not-inc,106761, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n72, ?,235014, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,2465,40, United-States, <=50K.\n29, Local-gov,249932, 11th,7, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n45, Private,382242, Bachelors,13, Never-married, Adm-clerical, Unmarried, White, Female,0,0,30, ?, <=50K.\n29, Private,213152, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,52, United-States, <=50K.\n37, State-gov,26898, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Private,435356, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K.\n70, ?,103963, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,6, United-States, <=50K.\n43, Private,185860, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n63, Private,188999, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K.\n64, Self-emp-not-inc,108654, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1421,35, United-States, <=50K.\n38, Private,54953, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n24, Private,130620, Some-college,10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K.\n29, Private,273884, HS-grad,9, Married-spouse-absent, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K.\n30, Private,392518, Assoc-acdm,12, Married-spouse-absent, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n66, Self-emp-not-inc,198766, HS-grad,9, Widowed, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,66935, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Federal-gov,135500, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n22, Local-gov,111697, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K.\n31, Private,141288, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,296450, 7th-8th,4, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Private,94448, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,138200, Assoc-acdm,12, Never-married, Farming-fishing, Own-child, White, Female,0,0,40, United-States, <=50K.\n40, Private,217826, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, Haiti, <=50K.\n57, ?,182836, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,3103,0,40, United-States, >50K.\n64, Self-emp-not-inc,46366, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n31, Private,168275, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K.\n74, Local-gov,214514, 7th-8th,4, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n43, State-gov,107439, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K.\n80, Self-emp-inc,164909, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,54, United-States, >50K.\n28, Federal-gov,329426, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n77, Local-gov,181974, 7th-8th,4, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n68, Private,176468, HS-grad,9, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,24, United-States, <=50K.\n51, State-gov,187686, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n21, Private,229769, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K.\n43, Private,45975, 12th,8, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Italy, <=50K.\n42, Private,187702, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, Private,102585, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n30, Private,327112, 11th,7, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, ?,167558, 7th-8th,4, Married-civ-spouse, ?, Wife, White, Female,0,0,40, Mexico, <=50K.\n32, Private,296538, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K.\n56, Private,169560, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n50, Private,185283, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,224793, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,1719,40, United-States, <=50K.\n23, Federal-gov,478457, 11th,7, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n54, Private,104413, Some-college,10, Separated, Tech-support, Other-relative, Black, Female,4101,0,40, United-States, <=50K.\n28, Self-emp-not-inc,175710, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, ?, <=50K.\n34, Private,85632, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n48, Private,102359, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n56, Local-gov,237546, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, <=50K.\n31, Private,96245, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,42, United-States, <=50K.\n42, Private,91453, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K.\n36, Private,131039, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,35, Trinadad&Tobago, <=50K.\n52, Private,106176, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Male,0,3770,40, United-States, <=50K.\n55, Private,329797, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,153932, 11th,7, Married-civ-spouse, Craft-repair, Own-child, White, Male,2580,0,30, United-States, <=50K.\n35, State-gov,52738, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K.\n51, Private,25932, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,99, United-States, >50K.\n19, Private,78374, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n59, Private,653215, 11th,7, Widowed, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K.\n19, Private,318061, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,80, United-States, <=50K.\n46, State-gov,260782, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, ?,340580, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,0,45, United-States, <=50K.\n46, Self-emp-not-inc,45564, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,209051, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n55, Private,100821, HS-grad,9, Married-spouse-absent, Priv-house-serv, Not-in-family, Black, Female,0,0,36, United-States, <=50K.\n28, Private,86268, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n61, Federal-gov,95680, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,3103,0,40, United-States, >50K.\n35, Private,327164, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,0,0,40, United-States, >50K.\n21, ?,117210, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Local-gov,136175, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,35, United-States, <=50K.\n21, Private,232591, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,8, United-States, <=50K.\n33, Local-gov,29144, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Self-emp-inc,64875, Assoc-voc,11, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n44, Private,184011, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,60, United-States, <=50K.\n29, Private,244246, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,8614,0,50, United-States, >50K.\n39, Private,357173, HS-grad,9, Separated, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n32, Private,203181, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K.\n47, Private,299508, HS-grad,9, Divorced, Tech-support, Unmarried, Black, Female,0,0,55, United-States, <=50K.\n28, Private,198493, Assoc-acdm,12, Never-married, Adm-clerical, Other-relative, White, Male,0,0,35, United-States, <=50K.\n59, Local-gov,358747, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K.\n38, Private,91039, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,5178,0,48, United-States, >50K.\n23, Private,34918, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n44, Private,97159, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n55, Federal-gov,212600, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, ?, >50K.\n65, Private,90113, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n19, Private,96705, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,14, United-States, <=50K.\n58, Private,156873, 11th,7, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,35, United-States, <=50K.\n49, Private,136358, Masters,14, Divorced, Sales, Unmarried, Other, Female,0,0,20, Peru, <=50K.\n44, Private,227065, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,40, ?, >50K.\n44, Local-gov,193144, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K.\n33, Private,317660, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n38, Self-emp-not-inc,85492, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n37, Local-gov,203628, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,54, United-States, >50K.\n30, Private,183801, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,132686, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,50818, Masters,14, Never-married, Tech-support, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n49, State-gov,160812, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n28, Private,212286, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n61, Local-gov,77072, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n41, State-gov,176155, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n20, State-gov,219211, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K.\n40, Private,356934, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n57, Private,143266, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,60, ?, >50K.\n36, ?,194809, Bachelors,13, Never-married, ?, Own-child, White, Female,0,0,50, United-States, <=50K.\n62, Private,138157, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,437825, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K.\n31, Private,165503, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, ?, <=50K.\n68, Private,152053, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n18, Private,211273, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,19, United-States, <=50K.\n30, State-gov,576645, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, <=50K.\n42, ?,148951, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,12, Ecuador, <=50K.\n38, Private,38145, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K.\n19, Private,66619, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,37, United-States, <=50K.\n22, Private,126613, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, France, <=50K.\n46, State-gov,135854, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n57, Private,132145, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n65, ?,194920, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n18, Private,260387, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Cuba, <=50K.\n67, Private,176388, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n28, Private,77009, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K.\n30, Private,385177, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,24, United-States, >50K.\n20, Private,510643, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,100135, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K.\n35, Private,297697, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n38, Private,179481, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n23, Private,134045, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n64, Self-emp-not-inc,275034, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K.\n33, Private,127651, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,8614,0,40, United-States, >50K.\n24, Private,237262, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n18, ?,274445, HS-grad,9, Never-married, ?, Own-child, White, Male,0,1602,20, United-States, <=50K.\n40, ?,141583, Bachelors,13, Never-married, ?, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n27, ?,294642, HS-grad,9, Separated, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,181179, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, <=50K.\n27, Private,184493, HS-grad,9, Separated, Handlers-cleaners, Own-child, White, Female,0,1594,25, United-States, <=50K.\n48, Local-gov,125892, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n27, Local-gov,118235, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,0,40, United-States, <=50K.\n24, Private,119329, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n31, Self-emp-not-inc,189843, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n42, Private,167357, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,213,40, United-States, <=50K.\n51, Private,103803, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,50, United-States, <=50K.\n41, Private,145175, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,3103,0,40, United-States, >50K.\n26, Private,158846, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,44, United-States, <=50K.\n69, Private,203313, 7th-8th,4, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n63, Private,125954, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, >50K.\n35, Private,102178, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K.\n35, Private,139364, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n62, Self-emp-not-inc,265007, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Ecuador, <=50K.\n26, Private,61996, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,62, United-States, <=50K.\n63, Private,209790, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,117779, 12th,8, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n43, Self-emp-inc,173326, HS-grad,9, Never-married, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K.\n44, Private,318046, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K.\n56, Local-gov,204021, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n54, Self-emp-not-inc,236157, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n32, Private,42900, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n42, Private,144002, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n37, Private,126954, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,228649, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Private,126094, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,113106, HS-grad,9, Never-married, Sales, Other-relative, White, Female,0,0,19, United-States, <=50K.\n30, Private,118941, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n43, Federal-gov,205675, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,75, United-States, >50K.\n19, Private,89295, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,35, United-States, <=50K.\n30, Private,173858, HS-grad,9, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,2597,0,40, ?, <=50K.\n26, Private,168251, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n38, State-gov,143059, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n74, ?,41737, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,2149,30, United-States, <=50K.\n54, Private,266598, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,181796, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n22, State-gov,214731, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n40, Private,219869, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,99999,0,75, United-States, >50K.\n23, Private,211968, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n22, Private,38707, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n18, Self-emp-not-inc,58700, 9th,5, Never-married, Farming-fishing, Other-relative, Other, Female,0,0,40, Mexico, <=50K.\n24, Private,160261, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,20, France, <=50K.\n30, Private,160594, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n38, Private,152307, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,41, United-States, >50K.\n27, Private,100079, HS-grad,9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,60, China, <=50K.\n21, Private,279472, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n43, Private,149102, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,177625, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Federal-gov,178678, 10th,6, Divorced, Adm-clerical, Unmarried, White, Female,0,1380,50, United-States, <=50K.\n58, Self-emp-not-inc,21383, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,86019, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n63, Private,181153, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, ?, >50K.\n36, Federal-gov,223749, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n21, ?,33087, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K.\n21, Private,253190, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n51, Private,165278, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,46, United-States, >50K.\n51, Private,279452, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, Mexico, <=50K.\n43, Private,290660, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n47, Private,274883, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K.\n68, Self-emp-not-inc,35468, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,24, United-States, <=50K.\n18, Private,195318, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,23, United-States, <=50K.\n34, Private,256362, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Italy, >50K.\n49, Private,148169, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,5013,0,40, United-States, <=50K.\n65, Self-emp-not-inc,538099, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K.\n19, Private,186682, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n59, Self-emp-not-inc,156797, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,13550,0,60, United-States, >50K.\n29, Private,162257, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,208881, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,60, United-States, >50K.\n39, Private,159168, Assoc-voc,11, Widowed, Exec-managerial, Unmarried, White, Female,0,3004,40, United-States, >50K.\n64, Private,172740, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,12, United-States, <=50K.\n48, Federal-gov,186256, HS-grad,9, Divorced, Farming-fishing, Other-relative, White, Male,0,0,40, United-States, <=50K.\n37, Federal-gov,110861, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,128699, HS-grad,9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female,0,0,40, Ecuador, <=50K.\n31, Private,271933, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K.\n30, Private,102320, Assoc-voc,11, Separated, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K.\n54, Self-emp-inc,117674, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n62, Private,190273, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n59, Private,217747, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K.\n44, Private,99830, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,65, United-States, <=50K.\n40, Private,343068, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n32, State-gov,204052, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n28, Private,267912, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n31, Private,207537, Some-college,10, Separated, Sales, Not-in-family, White, Male,2174,0,52, United-States, <=50K.\n38, Private,256864, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n39, Self-emp-not-inc,306678, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,101204, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,4064,0,40, United-States, <=50K.\n43, Private,77373, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,47, United-States, >50K.\n27, Private,371103, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n46, Private,316271, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n56, Self-emp-not-inc,51916, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n34, Private,159008, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, >50K.\n27, Private,153475, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n19, Private,118549, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K.\n58, Private,315081, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, >50K.\n20, Private,122622, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,81786, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n31, Private,194752, HS-grad,9, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,45, United-States, <=50K.\n48, Private,208662, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K.\n28, Self-emp-inc,173944, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,15024,0,65, United-States, >50K.\n34, State-gov,49325, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,425502, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n25, Local-gov,55360, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n23, Private,432480, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n48, Private,155781, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,2231,30, United-States, >50K.\n37, Local-gov,216473, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, >50K.\n36, Private,185366, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Private,247515, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, Puerto-Rico, <=50K.\n70, Private,210673, 10th,6, Widowed, Adm-clerical, Other-relative, White, Male,0,0,20, United-States, <=50K.\n32, Private,107435, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, ?,217300, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n20, ?,39803, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Private,482211, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n47, Federal-gov,169549, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,60, ?, >50K.\n23, Private,353542, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n40, Private,114200, HS-grad,9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-not-inc,245173, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,212895, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n49, ?,95636, 10th,6, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Self-emp-not-inc,271486, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n37, Private,258836, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n56, Private,288530, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,37, United-States, >50K.\n64, Private,47589, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n31, Private,295099, Some-college,10, Divorced, Tech-support, Own-child, Black, Female,0,0,40, United-States, <=50K.\n38, Private,275338, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,45, United-States, <=50K.\n52, Self-emp-not-inc,168553, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,142766, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,18, United-States, <=50K.\n31, Private,72887, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,47, United-States, >50K.\n35, Private,102946, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,1669,45, United-States, <=50K.\n66, Self-emp-not-inc,244749, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, Cuba, <=50K.\n36, Private,166115, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,56, United-States, <=50K.\n26, Private,213383, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-inc,107231, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n17, ?,130969, 9th,5, Never-married, ?, Own-child, Black, Male,0,0,20, United-States, <=50K.\n27, Private,221977, 1st-4th,2, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female,0,0,40, Mexico, <=50K.\n41, Private,43467, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,99, United-States, <=50K.\n52, Private,357596, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K.\n48, Private,146497, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, United-States, >50K.\n33, Private,317809, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,190290, Bachelors,13, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K.\n59, Private,194573, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, >50K.\n72, ?,144461, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, >50K.\n52, Local-gov,240638, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n18, Private,52776, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n40, Private,50524, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n54, Private,324023, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n17, Private,110916, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K.\n23, Private,203924, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n53, Private,214868, Assoc-voc,11, Never-married, Adm-clerical, Other-relative, Black, Female,0,2001,40, United-States, <=50K.\n27, Private,275466, 10th,6, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n27, Local-gov,198708, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, <=50K.\n23, Private,179241, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n32, Private,154981, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n29, Private,178811, Assoc-voc,11, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,130018, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n47, Federal-gov,87504, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,50, United-States, <=50K.\n29, Private,377414, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Private,177927, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n60, Private,137490, 5th-6th,3, Separated, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n25, Private,262617, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, >50K.\n50, Private,30682, 7th-8th,4, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n60, Private,119684, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K.\n52, Private,187938, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,49, United-States, <=50K.\n35, Private,122353, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,75755, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K.\n43, Private,91316, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K.\n55, Private,134789, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n22, Private,115892, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Private,104457, Bachelors,13, Married-spouse-absent, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, ?, <=50K.\n51, Local-gov,230767, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, Cuba, <=50K.\n61, Private,227332, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n29, Private,160264, Some-college,10, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,174533, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n73, Private,53114, Some-college,10, Widowed, Sales, Not-in-family, White, Female,2538,0,20, United-States, <=50K.\n20, Private,163870, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Private,228709, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n36, Private,172571, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n28, Private,335542, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,1628,50, United-States, <=50K.\n63, Local-gov,241404, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n50, Private,197189, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n59, ?,102058, 1st-4th,2, Married-civ-spouse, ?, Husband, White, Male,0,0,45, Portugal, <=50K.\n41, Self-emp-inc,104813, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n62, Private,261437, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,366842, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, ?, >50K.\n21, ?,121468, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n48, Self-emp-inc,214994, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n67, Private,229709, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n43, Private,249039, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, >50K.\n49, Private,142287, Some-college,10, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n54, Private,259323, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,238281, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K.\n60, Private,156774, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n27, Private,86153, HS-grad,9, Never-married, Tech-support, Unmarried, White, Female,0,0,40, Germany, <=50K.\n62, Private,93997, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K.\n39, Self-emp-inc,91039, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K.\n52, Private,224198, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,51, United-States, <=50K.\n54, Private,221336, HS-grad,9, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n28, Private,128012, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, ?, <=50K.\n53, Local-gov,231166, HS-grad,9, Separated, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,79702, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n24, Self-emp-not-inc,132320, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n37, ?,33355, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K.\n55, ?,177557, HS-grad,9, Divorced, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n47, Private,148549, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n26, Private,301563, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,113106, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n41, Private,304175, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n25, State-gov,230200, Bachelors,13, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n17, Private,313444, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n34, Private,247328, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K.\n34, Private,132565, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n41, State-gov,539019, Some-college,10, Never-married, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n24, Private,114292, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n32, Private,227608, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n21, State-gov,185554, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,11, United-States, <=50K.\n46, Self-emp-not-inc,181372, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,344592, HS-grad,9, Never-married, Sales, Not-in-family, Black, Female,0,0,35, United-States, <=50K.\n29, Self-emp-not-inc,102326, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n43, Self-emp-not-inc,220647, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2377,50, United-States, <=50K.\n18, ?,30246, 11th,7, Never-married, ?, Own-child, White, Female,0,0,45, United-States, <=50K.\n33, Private,496743, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,88, United-States, <=50K.\n21, Private,161508, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, State-gov,30494, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, Private,256764, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1564,40, United-States, >50K.\n20, ?,49819, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, ?,338281, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,20, Iran, <=50K.\n21, Local-gov,256356, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,25, United-States, <=50K.\n25, Private,318644, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Private,227594, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n59, Private,165695, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,32, United-States, >50K.\n55, Private,127728, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n49, Private,123681, Assoc-acdm,12, Separated, Sales, Unmarried, White, Male,0,0,35, United-States, <=50K.\n48, Private,168038, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,1564,50, United-States, >50K.\n32, Private,154950, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,44, United-States, >50K.\n25, Private,148298, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n41, Private,63042, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,20, United-States, <=50K.\n57, Local-gov,101444, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,455379, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n25, Private,211097, 5th-6th,3, Divorced, Other-service, Unmarried, Other, Female,0,0,20, Honduras, <=50K.\n61, Local-gov,153264, HS-grad,9, Widowed, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, ?,263220, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n43, Private,180138, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K.\n22, Private,208946, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, ?, <=50K.\n33, Private,321709, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,15, United-States, >50K.\n39, Private,215981, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n44, State-gov,26880, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,0,1092,40, United-States, <=50K.\n30, Self-emp-not-inc,90705, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,185068, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,20, Puerto-Rico, <=50K.\n37, Private,268390, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Mexico, <=50K.\n55, Private,102058, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n51, Self-emp-not-inc,421132, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,191803, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,13, ?, <=50K.\n60, Private,181954, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,25, Iran, <=50K.\n17, ?,34505, 11th,7, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K.\n30, Private,93973, 11th,7, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K.\n63, Private,355459, 12th,8, Widowed, Priv-house-serv, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n37, Private,173586, 7th-8th,4, Never-married, Other-service, Own-child, Black, Male,0,0,56, United-States, <=50K.\n32, Private,312055, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n64, Federal-gov,353479, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,45, United-States, >50K.\n21, Private,321426, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,49, United-States, <=50K.\n53, Private,228752, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n46, Private,281647, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,161615, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Private,187376, Assoc-acdm,12, Separated, Adm-clerical, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n47, Private,234994, 7th-8th,4, Separated, Craft-repair, Unmarried, White, Male,0,0,40, Puerto-Rico, <=50K.\n58, ?,169329, 9th,5, Married-civ-spouse, ?, Husband, Black, Male,0,0,40, United-States, <=50K.\n40, Private,216116, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, Jamaica, <=50K.\n36, Private,109204, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n57, Private,88879, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,200863, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n23, Private,223811, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n32, Private,360761, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n33, Private,166275, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,149102, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,117381, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,306993, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Local-gov,232475, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n56, Private,165867, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,268234, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K.\n59, Self-emp-inc,110457, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n21, Private,329174, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,4865,0,40, United-States, <=50K.\n37, Private,109472, 9th,5, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Private,418176, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n28, Private,380390, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n18, ?,36064, 12th,8, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n59, Self-emp-inc,95835, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n25, Local-gov,250770, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n17, Private,67603, 9th,5, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K.\n30, State-gov,352045, Masters,14, Separated, Craft-repair, Not-in-family, White, Male,99999,0,40, United-States, >50K.\n21, Private,196742, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,28, United-States, <=50K.\n31, Private,303942, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n56, Private,246687, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n64, Self-emp-not-inc,187793, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,205816, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n60, Private,182343, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Private,42959, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n46, Private,140644, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male,0,2258,50, United-States, <=50K.\n19, Private,183264, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,30, United-States, <=50K.\n49, Private,294671, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Private,88926, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n65, Private,64667, Some-college,10, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K.\n27, Private,416946, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n52, Private,208570, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Private,116649, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n78, Local-gov,87052, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,5, United-States, <=50K.\n46, Self-emp-not-inc,102869, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n60, Self-emp-inc,123552, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, Ireland, <=50K.\n28, Private,157262, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n17, Private,146890, 9th,5, Never-married, Farming-fishing, Own-child, Black, Male,0,0,20, United-States, <=50K.\n57, Private,257200, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n48, Local-gov,452402, Doctorate,16, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,15, United-States, <=50K.\n39, Private,531055, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n38, Self-emp-inc,298539, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n20, Private,95989, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n32, Private,162572, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,48, United-States, >50K.\n41, Local-gov,75313, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K.\n66, Private,117162, 10th,6, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n46, Private,173461, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K.\n48, Private,349986, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,50, United-States, >50K.\n24, Private,204244, 9th,5, Never-married, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n31, Private,36222, HS-grad,9, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n38, Self-emp-inc,320811, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n57, Private,82676, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n20, Private,152189, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n54, Self-emp-inc,52565, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n62, ?,121319, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,144301, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K.\n21, Private,162869, Some-college,10, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n23, Private,179241, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K.\n34, State-gov,62327, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,121012, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K.\n43, Private,60001, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K.\n55, ?,105582, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K.\n34, Local-gov,454076, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n21, State-gov,155818, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n40, Private,434081, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n48, Federal-gov,265386, Assoc-acdm,12, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n47, Private,44671, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,38, United-States, <=50K.\n63, Private,190296, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K.\n33, Federal-gov,198827, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n64, ?,22228, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, >50K.\n28, Private,109857, Assoc-voc,11, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n21, Self-emp-not-inc,190968, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,25, United-States, <=50K.\n51, Private,75235, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n67, Self-emp-inc,127605, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,60, Italy, >50K.\n33, Private,318982, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, United-States, <=50K.\n31, Private,229636, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2042,40, Mexico, <=50K.\n46, Private,233802, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, >50K.\n45, Self-emp-not-inc,28119, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n66, State-gov,198363, 7th-8th,4, Widowed, Other-service, Not-in-family, Black, Female,2964,0,40, United-States, <=50K.\n58, Local-gov,153914, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n40, Private,143582, Masters,14, Widowed, Sales, Own-child, Asian-Pac-Islander, Female,0,0,50, United-States, <=50K.\n71, ?,78786, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,2149,24, United-States, <=50K.\n42, State-gov,126333, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,182689, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,35, United-States, >50K.\n19, Private,35245, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K.\n19, Private,160120, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male,2597,0,40, ?, <=50K.\n37, Self-emp-not-inc,400287, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,15, United-States, >50K.\n22, Private,50610, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n64, Private,349826, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,35890, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,174209, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n47, Private,63225, 1st-4th,2, Divorced, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n35, Private,164519, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n23, Private,81145, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K.\n32, Local-gov,73514, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, Asian-Pac-Islander, Female,0,0,50, United-States, <=50K.\n49, Local-gov,452402, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,7688,0,35, United-States, >50K.\n19, ?,318056, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n27, Private,285897, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,40, United-States, >50K.\n19, ?,194404, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,32, United-States, <=50K.\n20, Private,434710, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n42, Federal-gov,177142, Bachelors,13, Never-married, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K.\n35, Federal-gov,182863, Bachelors,13, Separated, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K.\n62, Private,394645, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n46, Private,110457, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,292465, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K.\n35, Private,238433, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K.\n55, Private,160631, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4508,0,8, Yugoslavia, <=50K.\n29, Private,285657, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n24, Private,236907, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K.\n19, Private,378418, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K.\n50, Self-emp-not-inc,213279, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,105503, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,79160, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n62, ?,139391, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Ireland, >50K.\n33, Self-emp-not-inc,190027, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,70, United-States, >50K.\n79, Private,160758, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K.\n33, Private,361280, Doctorate,16, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K.\n36, Private,199288, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n46, Self-emp-not-inc,204698, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n17, Private,213354, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,6, United-States, <=50K.\n22, Private,282579, HS-grad,9, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n39, Private,99783, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n27, Private,446947, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,55, United-States, <=50K.\n57, Private,186202, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Self-emp-inc,177951, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,32, United-States, <=50K.\n28, Private,258364, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n46, Local-gov,200727, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n32, Self-emp-not-inc,33404, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,10520,0,50, United-States, >50K.\n63, Federal-gov,31115, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K.\n21, Private,301915, 11th,7, Separated, Sales, Not-in-family, Other, Female,0,0,30, Mexico, <=50K.\n44, Private,201908, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,5013,0,40, United-States, <=50K.\n40, Private,168071, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n32, Private,347623, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,35890, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n31, Private,154227, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,161532, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,178282, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,263561, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,201783, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n30, Private,161153, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Private,193125, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K.\n28, Private,126060, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,99999,0,36, United-States, >50K.\n52, Private,186826, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,1564,40, United-States, >50K.\n32, Private,156192, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n35, Private,193094, HS-grad,9, Never-married, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K.\n26, Private,472411, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,147069, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K.\n40, Private,300195, Some-college,10, Divorced, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n75, ?,91417, Assoc-voc,11, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K.\n23, Private,182342, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, Italy, <=50K.\n32, Private,258406, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Mexico, <=50K.\n27, Private,87239, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n25, Private,294406, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n18, ?,41385, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,4508,0,40, United-States, <=50K.\n66, Private,197414, 7th-8th,4, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n47, Private,323212, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n57, Local-gov,31532, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K.\n30, Private,127610, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,20, Greece, <=50K.\n26, Private,163189, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,594187, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K.\n39, Private,269323, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,1485,38, United-States, >50K.\n33, Private,96480, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,40, United-States, >50K.\n58, Private,200316, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,212780, HS-grad,9, Never-married, Sales, Not-in-family, Black, Female,0,0,30, United-States, <=50K.\n49, Self-emp-inc,120121, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n20, Private,367240, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n24, Private,117606, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,35, United-States, <=50K.\n33, Private,122749, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K.\n59, Private,169560, 10th,6, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,269890, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n43, Private,303426, HS-grad,9, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Male,5721,0,40, Philippines, <=50K.\n25, Private,112835, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n17, Private,226503, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n46, Private,207733, 1st-4th,2, Widowed, Other-service, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K.\n20, Private,275421, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n37, Local-gov,165883, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n56, Self-emp-inc,236676, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n19, ?,171578, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K.\n30, Private,685955, Bachelors,13, Never-married, Sales, Unmarried, Black, Male,0,0,50, United-States, <=50K.\n32, Private,72887, Some-college,10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n34, Private,135304, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n27, Private,218781, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,126540, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,261943, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Guatemala, <=50K.\n34, State-gov,111843, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,3325,0,40, United-States, <=50K.\n71, Self-emp-not-inc,401203, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,34, United-States, >50K.\n56, Private,117400, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n61, ?,113658, 10th,6, Divorced, ?, Other-relative, White, Female,0,0,20, United-States, <=50K.\n40, Local-gov,166822, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,36, United-States, >50K.\n35, Private,151322, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,102684, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n54, Self-emp-not-inc,152652, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,193416, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Female,0,0,3, United-States, <=50K.\n35, Private,103323, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n37, Self-emp-not-inc,33975, Bachelors,13, Separated, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n20, ?,163665, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n59, Private,187485, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n50, Private,110327, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n28, Private,179498, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Local-gov,197915, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,103995, Doctorate,16, Widowed, Prof-specialty, Not-in-family, White, Female,10520,0,60, United-States, >50K.\n46, Private,123807, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,15, United-States, <=50K.\n23, Private,43535, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n57, Self-emp-not-inc,200316, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n60, Private,125832, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,72, Canada, <=50K.\n51, State-gov,71691, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, >50K.\n50, Private,168212, Some-college,10, Married-spouse-absent, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n45, Federal-gov,98320, Some-college,10, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,914,0,40, United-States, <=50K.\n41, Private,173307, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,43, United-States, <=50K.\n56, Private,442116, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,54, United-States, >50K.\n18, Private,130849, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,17, United-States, <=50K.\n51, Private,159015, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n32, Private,147921, Prof-school,15, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n48, Private,268022, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,55, United-States, >50K.\n51, Private,253357, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,339954, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n32, State-gov,347623, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,3411,0,40, United-States, <=50K.\n53, Federal-gov,169112, Prof-school,15, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n37, Private,166213, HS-grad,9, Divorced, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K.\n62, Private,216765, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K.\n51, Private,335997, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K.\n18, ?,354236, 10th,6, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n70, Private,178120, HS-grad,9, Widowed, Priv-house-serv, Other-relative, Black, Female,0,0,8, United-States, <=50K.\n54, Private,312631, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,50, United-States, >50K.\n67, Local-gov,31924, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,2964,0,41, United-States, <=50K.\n34, Federal-gov,96483, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female,0,0,60, United-States, >50K.\n26, Private,305304, 11th,7, Separated, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n52, Local-gov,111722, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,72, United-States, <=50K.\n24, Private,197554, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n51, Private,257126, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,101597, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K.\n23, Private,220115, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,210844, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2042,40, Columbia, <=50K.\n25, Self-emp-inc,66935, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K.\n81, Private,192813, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, Portugal, <=50K.\n35, Self-emp-not-inc,95639, 11th,7, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male,0,0,4, United-States, <=50K.\n40, Self-emp-not-inc,223881, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n33, Private,223105, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K.\n33, Private,192644, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,90, United-States, >50K.\n45, Self-emp-not-inc,58683, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,5178,0,48, United-States, >50K.\n22, Private,162282, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,55, United-States, <=50K.\n38, State-gov,239539, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n46, Private,117849, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, United-States, >50K.\n17, Private,99237, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n18, ?,149343, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,3, United-States, <=50K.\n42, Self-emp-not-inc,193882, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,107845, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n58, Private,268295, 5th-6th,3, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K.\n43, Private,71269, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n42, Self-emp-inc,204598, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,3464,0,80, United-States, <=50K.\n19, ?,98283, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,32, United-States, <=50K.\n45, Self-emp-inc,188694, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,201908, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K.\n38, Private,191137, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, United-States, <=50K.\n58, Self-emp-not-inc,129786, HS-grad,9, Separated, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n37, Private,302903, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,40, United-States, >50K.\n34, Private,143526, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,182117, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Private,172753, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,85, United-States, >50K.\n37, Private,139770, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n47, Private,215686, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,50, United-States, <=50K.\n31, Private,181388, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,45, United-States, >50K.\n57, Private,81973, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,15024,0,45, United-States, >50K.\n44, Private,328581, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n64, Private,110110, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n31, Private,174201, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n40, Private,137421, Masters,14, Married-spouse-absent, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,35, India, >50K.\n34, Private,153927, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n28, Federal-gov,187649, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n72, Private,149992, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K.\n21, Private,234640, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,47, United-States, <=50K.\n52, Local-gov,311569, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n44, Private,182383, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K.\n57, State-gov,344381, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,7688,0,75, United-States, >50K.\n35, Self-emp-not-inc,280570, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n21, Private,215039, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Local-gov,339442, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n28, Local-gov,168065, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n59, Private,47534, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K.\n54, Local-gov,116428, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,121789, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n29, State-gov,143139, 10th,6, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n18, Private,187790, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n31, Private,140559, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n17, Private,184025, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K.\n47, Private,257824, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n42, Private,89226, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,7688,0,40, Greece, >50K.\n21, Private,145917, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n32, Private,207301, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n51, Private,135388, 12th,8, Widowed, Machine-op-inspct, Not-in-family, White, Male,0,1564,40, United-States, >50K.\n24, Private,266467, Assoc-voc,11, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n60, Private,200047, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Federal-gov,121040, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n24, Private,199694, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n43, Private,301007, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K.\n64, Self-emp-not-inc,253759, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K.\n53, Private,120839, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n64, State-gov,33342, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,205195, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,362873, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n25, Private,104614, HS-grad,9, Never-married, Protective-serv, Unmarried, White, Female,0,0,25, United-States, <=50K.\n27, Self-emp-not-inc,32280, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K.\n30, Private,191777, 12th,8, Never-married, Other-service, Own-child, Black, Female,0,0,20, ?, <=50K.\n39, Private,144169, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,264076, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,119164, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n41, Private,126845, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,228395, Bachelors,13, Never-married, Sales, Own-child, Black, Female,0,0,40, United-States, <=50K.\n32, Private,242654, Some-college,10, Divorced, Sales, Unmarried, Black, Female,0,1138,40, Honduras, <=50K.\n69, Self-emp-not-inc,30951, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K.\n36, Private,48855, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K.\n57, Self-emp-not-inc,50791, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, United-States, <=50K.\n58, Local-gov,248739, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,165418, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,79464, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K.\n36, Local-gov,321247, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,104269, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K.\n39, Self-emp-inc,129573, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n41, Private,222142, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3464,0,40, United-States, <=50K.\n24, Private,126613, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n54, Private,145548, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,331861, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n39, Private,156261, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n27, Private,173944, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,69739, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, Portugal, <=50K.\n32, Private,266345, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,278006, HS-grad,9, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Self-emp-inc,82578, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n66, Private,154164, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,7, ?, <=50K.\n25, Private,250038, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,175468, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,16, United-States, <=50K.\n23, State-gov,435835, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,7, United-States, <=50K.\n70, Private,135601, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,35, United-States, >50K.\n20, State-gov,162945, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n18, Private,244115, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,16, United-States, <=50K.\n29, Private,351902, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,34, United-States, <=50K.\n33, Private,291414, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,278736, 12th,8, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n44, Private,138975, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n32, Private,165295, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Female,0,0,40, Mexico, <=50K.\n49, Self-emp-inc,93557, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n66, Self-emp-not-inc,176315, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,401,0,20, United-States, <=50K.\n35, Private,187167, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n24, Private,241582, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,33, United-States, <=50K.\n31, Private,247328, 11th,7, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n75, Self-emp-not-inc,157778, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,15831,0,50, United-States, >50K.\n66, Self-emp-not-inc,67765, 11th,7, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,84, United-States, >50K.\n19, ?,229431, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, Private,192203, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,93326, Some-college,10, Separated, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n46, Private,118889, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,68, United-States, >50K.\n29, State-gov,237028, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n63, Private,156127, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n46, Private,151325, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,311350, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n44, Self-emp-not-inc,273465, Assoc-acdm,12, Never-married, Sales, Own-child, White, Male,0,0,50, United-States, <=50K.\n66, Private,172646, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,1173,0,12, United-States, <=50K.\n51, Private,379797, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n38, Private,131827, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K.\n26, State-gov,158734, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,233533, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, <=50K.\n48, Private,246367, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n42, Local-gov,142049, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,32, United-States, <=50K.\n50, Private,101119, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,104830, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,594,0,35, United-States, <=50K.\n42, Private,173981, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Italy, >50K.\n63, Private,195338, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K.\n18, Private,64253, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K.\n56, Private,182062, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K.\n33, Private,111696, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K.\n41, ?,168071, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,314369, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Male,0,0,45, United-States, <=50K.\n37, Private,178877, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K.\n42, Private,111483, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, >50K.\n18, ?,192321, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n62, Private,171757, 7th-8th,4, Widowed, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n29, Federal-gov,157313, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Private,38772, 11th,7, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Federal-gov,72338, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n67, Self-emp-not-inc,132626, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n50, Private,176240, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n40, Private,202692, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K.\n18, Private,70021, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K.\n55, Private,181242, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n48, Private,196707, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n80, Local-gov,81534, 1st-4th,2, Widowed, Farming-fishing, Not-in-family, Asian-Pac-Islander, Male,1086,0,20, Philippines, <=50K.\n25, Private,137658, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n24, Private,253190, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n46, Private,233059, 9th,5, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, State-gov,177787, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K.\n35, Self-emp-not-inc,193026, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n62, Self-emp-not-inc,271464, Masters,14, Separated, Farming-fishing, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n40, Private,199689, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Federal-gov,190653, Assoc-voc,11, Married-civ-spouse, Armed-Forces, Husband, White, Male,0,0,40, ?, >50K.\n40, Private,359389, Bachelors,13, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n49, Self-emp-not-inc,181717, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,7, United-States, >50K.\n52, Private,245127, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Outlying-US(Guam-USVI-etc), <=50K.\n21, Private,274398, Assoc-voc,11, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,344624, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n35, Private,169037, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,48, United-States, <=50K.\n22, Private,221406, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n71, Private,211707, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,4, United-States, <=50K.\n73, ?,185939, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,227026, Bachelors,13, Never-married, Craft-repair, Unmarried, White, Female,0,0,40, Nicaragua, <=50K.\n38, Private,187847, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n19, Private,238144, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n29, Private,243660, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n26, Private,102476, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n56, Local-gov,238405, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,187479, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n40, Private,168294, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n52, ?,129893, HS-grad,9, Married-civ-spouse, ?, Husband, Black, Male,0,1579,30, United-States, <=50K.\n55, Private,172642, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,208066, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n39, Private,247558, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,41, United-States, <=50K.\n36, Private,99233, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K.\n46, Private,430278, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, State-gov,204374, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,38, Poland, <=50K.\n30, Private,136832, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n54, Federal-gov,151135, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n17, Private,95875, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K.\n39, Private,360494, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, ?,187581, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n53, Private,98659, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K.\n45, Private,252242, Doctorate,16, Divorced, Sales, Not-in-family, White, Male,99999,0,55, United-States, >50K.\n24, Private,411238, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,199083, Masters,14, Divorced, Transport-moving, Not-in-family, White, Male,0,2258,50, United-States, >50K.\n38, Private,222573, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Private,245317, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,216414, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,50, United-States, >50K.\n32, Private,236396, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,311826, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,18, United-States, <=50K.\n38, Private,172538, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n38, Private,43712, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, <=50K.\n33, Private,272669, Assoc-acdm,12, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Male,0,0,30, Hong, <=50K.\n50, Private,137299, Assoc-acdm,12, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n40, Private,171305, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,60, United-States, >50K.\n33, Local-gov,190027, HS-grad,9, Divorced, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n20, Private,376416, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n17, Local-gov,236831, 12th,8, Never-married, Adm-clerical, Own-child, Black, Female,0,0,15, United-States, <=50K.\n27, Private,170148, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,28, United-States, <=50K.\n66, Private,366425, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,95864, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, England, >50K.\n71, Private,37435, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,3, United-States, <=50K.\n39, Self-emp-not-inc,151835, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,149419, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n20, ?,224238, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,6, United-States, <=50K.\n56, Private,359972, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, England, >50K.\n60, Private,23063, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Private,198282, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n46, Self-emp-inc,211020, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, Germany, >50K.\n42, Private,104196, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n56, Private,133819, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Private,328734, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,2238,40, United-States, <=50K.\n34, Self-emp-not-inc,41210, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n38, Private,225399, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n32, ?,13862, HS-grad,9, Never-married, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,38, United-States, <=50K.\n32, Local-gov,43959, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,83827, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n24, Private,157332, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,163706, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,70, United-States, >50K.\n43, Private,211517, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,1669,45, United-States, <=50K.\n69, ?,92852, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,5, United-States, <=50K.\n39, Self-emp-not-inc,192626, HS-grad,9, Separated, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n55, Private,115439, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,98769, Assoc-voc,11, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, >50K.\n29, Private,66473, Some-college,10, Never-married, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K.\n41, Self-emp-not-inc,138077, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,10, United-States, >50K.\n30, Local-gov,339388, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,72, United-States, >50K.\n28, Private,195520, Assoc-voc,11, Never-married, Adm-clerical, Other-relative, White, Male,0,0,40, Ireland, <=50K.\n68, Private,204680, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,37, United-States, <=50K.\n55, Private,184948, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,356231, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,2129,65, United-States, <=50K.\n55, Private,204334, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,55, England, >50K.\n60, Self-emp-inc,96660, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,8, United-States, >50K.\n44, Private,184871, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,298950, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,238802, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n58, ?,242670, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K.\n47, Private,183186, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n18, Private,34125, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K.\n23, Private,158996, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K.\n35, Local-gov,203883, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n61, Self-emp-inc,248160, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n54, Private,548361, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,98, United-States, <=50K.\n21, Private,203914, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,19, United-States, <=50K.\n53, State-gov,91121, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,139397, 10th,6, Separated, Exec-managerial, Unmarried, White, Female,0,0,15, Ecuador, <=50K.\n56, Private,208640, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,183013, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n36, Private,161141, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Private,343333, Bachelors,13, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,80, United-States, >50K.\n35, State-gov,210866, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,359854, Bachelors,13, Never-married, Priv-house-serv, Other-relative, White, Female,0,0,35, Mexico, <=50K.\n49, Self-emp-inc,235646, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,47, United-States, <=50K.\n60, Self-emp-not-inc,157588, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,99, United-States, <=50K.\n55, Private,200734, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, ?, <=50K.\n21, Private,212213, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n38, Private,248941, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n41, Local-gov,291831, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K.\n43, State-gov,114191, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n54, Self-emp-inc,151580, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,331498, Doctorate,16, Never-married, Other-service, Own-child, White, Male,0,0,40, ?, <=50K.\n20, Private,139989, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K.\n35, Private,187167, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n24, Private,299528, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,50, Taiwan, <=50K.\n41, Private,226608, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n36, Private,306361, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,213416, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,10, Mexico, <=50K.\n23, Private,85139, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,48779, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n71, Self-emp-inc,146365, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n36, Private,355856, 5th-6th,3, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,40, China, <=50K.\n51, Private,39264, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n30, Private,117028, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n40, Private,266631, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Haiti, <=50K.\n26, Private,152263, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K.\n49, Private,387074, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,245211, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2002,43, United-States, <=50K.\n48, Private,136455, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n53, State-gov,153486, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,105479, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n40, Private,409902, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K.\n21, ?,133515, Assoc-acdm,12, Never-married, ?, Own-child, White, Female,594,0,40, United-States, <=50K.\n38, Private,89202, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, ?,185692, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,84, United-States, <=50K.\n34, Private,157024, 10th,6, Never-married, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n53, Private,230936, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,57298, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n26, Private,82488, Masters,14, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K.\n29, Private,606111, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Private,235182, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,150336, Some-college,10, Divorced, Tech-support, Other-relative, White, Female,0,0,40, United-States, <=50K.\n43, Federal-gov,145175, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,42, United-States, >50K.\n39, Private,186719, Some-college,10, Separated, Craft-repair, Unmarried, White, Female,0,0,25, United-States, <=50K.\n38, Local-gov,325538, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n67, Private,192995, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n31, Private,103596, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K.\n30, Private,207172, 11th,7, Never-married, Protective-serv, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n53, Self-emp-not-inc,237729, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,3411,0,65, United-States, <=50K.\n44, Private,121718, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,48, United-States, >50K.\n43, Private,196344, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K.\n22, Private,100235, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,161153, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n44, Private,303619, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n88, Self-emp-not-inc,141646, 7th-8th,4, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,5, United-States, <=50K.\n21, Private,293726, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n31, Private,190772, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,1590,35, ?, <=50K.\n35, Local-gov,91124, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,318912, Bachelors,13, Never-married, Other-service, Own-child, Black, Male,0,0,55, United-States, <=50K.\n48, Private,355978, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n68, ?,81468, HS-grad,9, Widowed, ?, Unmarried, White, Female,0,0,16, United-States, <=50K.\n64, Private,183672, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n49, Private,140826, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,99999,0,50, ?, >50K.\n44, Private,146659, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n18, Private,294720, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K.\n34, Private,284629, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Local-gov,128091, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K.\n23, Private,153643, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n36, Self-emp-inc,173968, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n29, ?,168479, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,303177, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, Mexico, <=50K.\n27, Self-emp-not-inc,189030, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n57, Local-gov,261584, Some-college,10, Separated, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n24, Private,131230, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n54, Private,138852, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, <=50K.\n18, Private,137532, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n25, Private,67222, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n28, Private,278736, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n87, Private,143574, HS-grad,9, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,16, United-States, <=50K.\n54, Private,283725, Masters,14, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,131404, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K.\n43, Private,185015, 5th-6th,3, Married-spouse-absent, Priv-house-serv, Other-relative, White, Female,0,0,40, El-Salvador, <=50K.\n43, Federal-gov,47902, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,3908,0,40, United-States, <=50K.\n38, Private,272017, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,224559, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,35, United-States, <=50K.\n65, Private,138247, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,22, United-States, <=50K.\n39, Private,365465, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n60, Self-emp-not-inc,69887, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,203488, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n39, Private,57691, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7298,0,40, United-States, >50K.\n35, Private,193815, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,48, United-States, >50K.\n31, Self-emp-not-inc,37284, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,317434, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,198613, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,126060, Prof-school,15, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K.\n31, Private,187560, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n77, ?,331863, Some-college,10, Separated, ?, Not-in-family, White, Male,0,0,2, United-States, <=50K.\n40, State-gov,52498, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n58, Federal-gov,256466, Masters,14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,7688,0,40, China, >50K.\n37, Local-gov,215618, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,80, United-States, >50K.\n39, Private,150057, 10th,6, Separated, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n30, Private,213714, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Private,173095, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,4, United-States, <=50K.\n36, ?,143774, HS-grad,9, Divorced, ?, Other-relative, White, Female,0,0,40, United-States, <=50K.\n30, Private,277488, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n39, Private,240468, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n43, Private,197609, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n25, Private,72294, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, Private,219155, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n38, Private,130277, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,1726,40, United-States, <=50K.\n67, Private,100718, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K.\n57, Private,151474, HS-grad,9, Divorced, Handlers-cleaners, Other-relative, White, Female,0,0,40, United-States, <=50K.\n21, Private,209955, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K.\n35, Private,23892, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n40, Private,206927, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K.\n35, Private,60135, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n74, ?,95630, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n19, Private,229516, 7th-8th,4, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,127740, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,99, United-States, <=50K.\n39, State-gov,252662, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,2824,50, United-States, >50K.\n17, ?,171080, 12th,8, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, ?,118358, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,50, ?, <=50K.\n32, Private,160594, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1564,50, United-States, >50K.\n32, Local-gov,393376, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n51, Federal-gov,321494, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, ?,289517, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n38, Private,331395, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,38, United-States, <=50K.\n19, ?,199609, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n52, Private,178596, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n21, Private,198996, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K.\n33, Private,222654, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n18, Private,293510, 12th,8, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,20, United-States, <=50K.\n32, Self-emp-not-inc,176185, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, Japan, >50K.\n28, Private,370509, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, >50K.\n45, Private,167381, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,32, United-States, <=50K.\n21, Private,300445, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n24, Private,339602, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n53, Private,329222, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,1740,40, Laos, <=50K.\n54, Self-emp-not-inc,183668, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, <=50K.\n28, Private,30014, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, ?,120820, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n23, Private,33021, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n33, State-gov,295662, Bachelors,13, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n45, Private,183168, Some-college,10, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,148738, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, >50K.\n35, Private,214738, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K.\n20, Private,196758, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n35, Federal-gov,105527, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Private,221495, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,211938, 10th,6, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Private,209320, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,32, United-States, <=50K.\n33, Private,298785, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n37, Private,459192, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,44, United-States, <=50K.\n37, Private,342642, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n25, Self-emp-not-inc,46015, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n17, Private,219199, 10th,6, Never-married, Other-service, Own-child, Black, Male,0,0,15, United-States, <=50K.\n49, Self-emp-not-inc,285858, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n66, Private,592029, HS-grad,9, Widowed, Sales, Not-in-family, Black, Female,0,0,24, United-States, <=50K.\n24, Private,132247, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,24, United-States, <=50K.\n50, Private,330543, Preschool,1, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K.\n56, Private,176613, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n68, Private,174895, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n65, Private,200408, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n67, Private,219687, Some-college,10, Widowed, Sales, Not-in-family, White, Male,0,0,18, United-States, <=50K.\n17, Private,174466, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K.\n27, Private,339921, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,38, Mexico, <=50K.\n47, Local-gov,330080, 11th,7, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n40, Private,151504, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n39, State-gov,275300, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n36, Private,178322, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n49, State-gov,209482, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n59, Private,157831, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n46, Private,224314, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Female,0,0,20, United-States, <=50K.\n71, ?,144461, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,3456,0,16, United-States, <=50K.\n42, Self-emp-not-inc,114580, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,70, United-States, <=50K.\n46, Self-emp-inc,321764, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,197907, HS-grad,9, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n20, State-gov,199884, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K.\n30, Private,332975, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,55, United-States, <=50K.\n29, Private,37599, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,36, United-States, <=50K.\n28, Private,52199, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n61, Self-emp-not-inc,45795, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,36, United-States, <=50K.\n30, Private,154120, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K.\n27, Private,217530, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,40, El-Salvador, <=50K.\n58, Self-emp-not-inc,426263, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,32, United-States, <=50K.\n37, Private,406664, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Mexico, <=50K.\n24, Private,269799, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, Private,127738, 9th,5, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,330724, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,16, ?, <=50K.\n47, Private,138999, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,48, United-States, >50K.\n33, Private,152744, Some-college,10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n26, Private,155459, Bachelors,13, Never-married, Protective-serv, Other-relative, White, Male,0,0,45, United-States, <=50K.\n43, Private,222596, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n29, Private,209173, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,513977, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,40, United-States, <=50K.\n45, Private,186410, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,230684, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,136986, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, State-gov,647591, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n25, Private,264300, Assoc-voc,11, Never-married, Prof-specialty, Own-child, White, Female,0,0,36, United-States, <=50K.\n59, Private,95967, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, ?, <=50K.\n33, Private,187802, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,1887,40, United-States, >50K.\n45, Self-emp-inc,270079, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n58, Private,141379, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K.\n18, Private,176653, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,26, United-States, <=50K.\n35, Private,176900, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n55, Private,200217, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,188331, 11th,7, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n36, Private,158363, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,247422, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n45, Private,247120, HS-grad,9, Married-civ-spouse, Transport-moving, Other-relative, White, Female,0,0,50, ?, <=50K.\n20, Local-gov,37932, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Self-emp-not-inc,32280, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,197286, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K.\n55, Private,228595, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,81534, 11th,7, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,35, United-States, <=50K.\n17, Private,165457, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K.\n28, Private,209109, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K.\n31, Private,141817, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K.\n66, ?,249043, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n61, Self-emp-not-inc,185640, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, >50K.\n19, Private,400195, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n28, Private,267912, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Private,370032, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n34, Private,191957, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K.\n53, Private,361405, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n54, Private,103580, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Private,116632, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K.\n34, Private,185480, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n41, Private,94113, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,60, United-States, >50K.\n26, Self-emp-not-inc,75654, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Greece, <=50K.\n38, Private,104727, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,302406, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n63, Private,116993, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,274528, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Federal-gov,218382, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, >50K.\n35, Federal-gov,170425, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n49, Self-emp-inc,148437, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n43, Private,24264, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n50, State-gov,78923, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, >50K.\n49, Self-emp-inc,106169, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n43, Local-gov,211860, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n49, Private,250821, Prof-school,15, Never-married, Farming-fishing, Other-relative, White, Male,0,0,48, United-States, <=50K.\n29, Private,202558, Assoc-voc,11, Married-civ-spouse, Tech-support, Other-relative, White, Female,0,0,40, United-States, <=50K.\n30, Private,96480, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,32, United-States, <=50K.\n32, Private,215912, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,40, United-States, <=50K.\n51, Self-emp-inc,182211, Some-college,10, Divorced, Sales, Own-child, White, Female,0,0,70, United-States, <=50K.\n33, Federal-gov,206392, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,150057, Bachelors,13, Divorced, Sales, Own-child, White, Male,0,0,50, United-States, <=50K.\n38, Self-emp-inc,105044, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Private,168195, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,42, United-States, <=50K.\n18, Federal-gov,54377, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K.\n69, Self-emp-not-inc,118174, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,20051,0,15, United-States, >50K.\n54, Private,229375, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Federal-gov,109414, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,1977,40, Philippines, >50K.\n40, Private,158275, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,625,40, United-States, <=50K.\n40, Private,32185, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,44, United-States, <=50K.\n20, Private,228452, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n36, Private,170174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,56, United-States, >50K.\n39, Private,162370, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,260253, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Private,252392, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,99897, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n22, ?,52596, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,15, ?, >50K.\n38, Private,48093, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,275244, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,35, United-States, <=50K.\n41, Private,173316, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,162164, Some-college,10, Never-married, Priv-house-serv, Own-child, White, Female,0,0,45, United-States, <=50K.\n62, Private,166425, 11th,7, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n31, Private,203463, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,99999,0,40, United-States, >50K.\n35, Private,77792, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n58, Self-emp-inc,120384, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,257470, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K.\n38, Private,171482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,50, United-States, <=50K.\n29, Private,162298, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n21, Private,170273, Some-college,10, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K.\n27, Private,384774, 7th-8th,4, Divorced, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n48, State-gov,120131, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,159442, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,37, Ireland, >50K.\n33, Private,303942, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,33436, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,42, United-States, <=50K.\n45, Private,193407, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Female,0,0,44, United-States, <=50K.\n22, Private,51985, Some-college,10, Never-married, Other-service, Own-child, White, Male,1055,0,15, United-States, <=50K.\n31, Local-gov,127651, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,152246, Some-college,10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,40, Outlying-US(Guam-USVI-etc), <=50K.\n59, Private,124137, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,2202,0,40, United-States, <=50K.\n18, ?,209735, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n18, Private,241552, 11th,7, Never-married, Other-service, Own-child, White, Female,0,1719,20, United-States, <=50K.\n42, Private,174295, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,99, United-States, <=50K.\n42, Self-emp-not-inc,165815, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,52, United-States, >50K.\n26, Local-gov,566066, Bachelors,13, Never-married, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n18, ?,269373, 12th,8, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n20, Private,143604, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n18, Local-gov,294605, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,12, United-States, <=50K.\n44, Private,122381, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n76, Local-gov,104443, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,1668,40, United-States, <=50K.\n34, Private,208116, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,25, United-States, <=50K.\n60, Self-emp-inc,328011, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K.\n19, Private,375079, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n35, Private,210945, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,38, United-States, >50K.\n26, Private,169100, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,30126, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K.\n29, Private,165737, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,1, Japan, <=50K.\n24, Private,200295, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n39, Private,553588, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,40, United-States, >50K.\n58, Local-gov,164970, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n40, Private,199031, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n29, Private,187750, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n44, Self-emp-not-inc,89413, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n27, Private,188171, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n52, Self-emp-inc,392502, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n40, Federal-gov,73883, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Self-emp-inc,76860, 5th-6th,3, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,99999,0,40, China, >50K.\n19, Private,376683, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K.\n23, Private,189013, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,37, United-States, <=50K.\n32, Private,190385, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K.\n34, Private,154874, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Private,175032, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,42, United-States, <=50K.\n68, Self-emp-not-inc,338432, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n64, Private,30725, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Local-gov,319280, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n64, Private,280957, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K.\n42, Private,256813, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K.\n60, Private,276213, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,161496, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n33, Private,399531, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n74, Self-emp-not-inc,168951, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,14, United-States, <=50K.\n38, Self-emp-not-inc,108140, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n43, Private,358677, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n36, Local-gov,127424, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,50, ?, >50K.\n45, Self-emp-not-inc,163559, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female,0,0,48, ?, <=50K.\n45, Self-emp-not-inc,390746, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,187981, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,187715, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1848,46, United-States, >50K.\n25, Private,192449, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n42, State-gov,381581, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, State-gov,211049, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K.\n43, Private,214242, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Poland, <=50K.\n35, Private,190759, 11th,7, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,209301, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n56, Self-emp-not-inc,118614, Masters,14, Separated, Sales, Unmarried, White, Female,0,0,36, United-States, <=50K.\n22, Private,124971, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n29, Private,198704, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Local-gov,32587, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,50, United-States, >50K.\n51, Local-gov,227261, Some-college,10, Divorced, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n35, Private,250988, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n42, State-gov,147206, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,25265, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K.\n54, Local-gov,188446, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,206017, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K.\n36, Local-gov,287821, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n62, Federal-gov,223163, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n52, Private,38973, 10th,6, Widowed, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n45, Private,370274, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n64, Private,271559, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,30, Columbia, <=50K.\n66, Private,171331, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K.\n53, Private,201127, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,64874, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n37, Private,202683, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n17, Self-emp-not-inc,103851, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,4, United-States, <=50K.\n34, Private,196266, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n28, Private,303601, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,43150, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, ?,193889, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, ?, <=50K.\n28, Private,177036, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n32, Self-emp-not-inc,135304, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3942,0,32, United-States, <=50K.\n17, Private,25982, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K.\n51, State-gov,103063, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,40, United-States, >50K.\n41, Private,328239, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n58, Private,142724, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K.\n31, Private,198452, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,18, United-States, <=50K.\n28, Private,285897, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,34568, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,50, United-States, <=50K.\n44, Self-emp-not-inc,136986, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,50, United-States, >50K.\n31, Self-emp-not-inc,404062, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, Portugal, >50K.\n39, Private,80479, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n30, Private,433325, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n56, Self-emp-not-inc,368797, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,157473, Masters,14, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,50, United-States, >50K.\n24, Private,193130, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n33, Private,91667, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K.\n36, Private,153078, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,15024,0,40, Hong, >50K.\n31, Private,179673, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,236648, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,1848,42, United-States, >50K.\n41, Private,77357, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n19, Private,267796, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K.\n57, Private,335276, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n35, Private,189102, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n34, Self-emp-not-inc,203051, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K.\n38, Private,167440, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,186087, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n25, Private,334267, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,45, United-States, <=50K.\n49, Private,172246, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Local-gov,117963, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n22, ?,374116, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n60, Private,304074, Some-college,10, Widowed, Transport-moving, Not-in-family, White, Male,0,0,28, United-States, <=50K.\n35, Private,212195, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,35, United-States, >50K.\n42, Self-emp-not-inc,52781, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n61, Local-gov,176671, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, <=50K.\n24, Private,175778, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Private,340126, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K.\n64, Private,237581, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, Mexico, >50K.\n47, Local-gov,246891, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,0,0,45, United-States, >50K.\n23, Private,181659, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K.\n34, Private,209900, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,15, United-States, <=50K.\n47, Private,151826, 10th,6, Divorced, Tech-support, Unmarried, Black, Female,0,0,38, United-States, <=50K.\n43, Self-emp-inc,210013, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n47, Self-emp-inc,120131, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n57, Private,366421, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Mexico, <=50K.\n19, Private,137578, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,10, United-States, <=50K.\n36, Private,89625, 10th,6, Separated, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n72, Self-emp-not-inc,298945, Bachelors,13, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, >50K.\n34, Local-gov,108247, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n31, Private,103642, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n25, ?,181528, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,25, United-States, <=50K.\n23, Private,131699, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,14, United-States, <=50K.\n18, Private,154089, 11th,7, Never-married, Sales, Unmarried, White, Male,0,0,20, United-States, <=50K.\n41, Private,247081, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n45, Private,276839, Some-college,10, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,166115, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n27, Private,192936, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n50, Private,247425, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,198196, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n20, Private,260254, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n60, Private,176360, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n21, ?,214731, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n23, Private,107564, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n32, Private,29312, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Private,190610, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n40, Private,296858, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,40, United-States, >50K.\n42, Private,294431, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n34, Private,259818, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n37, Local-gov,161111, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,10, United-States, <=50K.\n42, ?,85995, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,52, United-States, <=50K.\n18, Private,108501, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,25, United-States, <=50K.\n27, Private,135296, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Federal-gov,491607, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,32, United-States, <=50K.\n61, Self-emp-not-inc,170278, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, Philippines, <=50K.\n41, Private,309932, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Local-gov,117310, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,21, United-States, >50K.\n46, Private,234289, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n45, Federal-gov,199925, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, White, Male,0,0,48, United-States, <=50K.\n70, Local-gov,31540, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n46, Private,202606, HS-grad,9, Separated, Other-service, Not-in-family, Black, Female,0,0,30, Haiti, <=50K.\n20, Private,239577, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, Private,110013, Masters,14, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Local-gov,230054, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,203558, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n51, Self-emp-not-inc,222883, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,55, United-States, <=50K.\n39, Private,61518, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n45, Private,246891, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n51, Private,194995, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n52, Private,207025, HS-grad,9, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,24, United-States, <=50K.\n39, Self-emp-inc,128715, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n30, Private,180168, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n44, Self-emp-not-inc,270495, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,50, United-States, <=50K.\n44, Private,191196, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n28, State-gov,624572, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n43, Private,488706, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, Mexico, <=50K.\n43, Self-emp-not-inc,52131, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K.\n38, Private,134635, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n41, Private,197033, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K.\n36, Private,112576, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,134737, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K.\n45, Private,154237, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n30, Private,103200, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Taiwan, <=50K.\n25, Private,179599, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n57, ?,274900, 7th-8th,4, Married-civ-spouse, ?, Other-relative, White, Male,0,0,45, Dominican-Republic, <=50K.\n21, Private,138580, 12th,8, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n43, Local-gov,187034, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,263568, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,594,0,35, United-States, <=50K.\n21, Private,142332, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,25, United-States, <=50K.\n40, Private,174090, Assoc-voc,11, Never-married, Sales, Unmarried, White, Female,4687,0,50, United-States, >50K.\n38, Federal-gov,103323, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,55, United-States, >50K.\n24, Private,108670, Assoc-voc,11, Never-married, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K.\n18, ?,326640, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n54, Private,99185, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,365328, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n19, Federal-gov,53220, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,1602,20, United-States, <=50K.\n22, Private,369084, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n48, Federal-gov,55377, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,55, Jamaica, >50K.\n64, Private,271094, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n27, Private,165014, Some-college,10, Married-civ-spouse, Sales, Own-child, Other, Female,0,0,11, Mexico, <=50K.\n40, Local-gov,284086, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n47, Federal-gov,186256, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K.\n19, Private,84250, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,22, United-States, <=50K.\n39, Private,189404, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n34, Private,152667, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n36, Private,239755, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n44, Private,271756, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K.\n23, Private,332657, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n36, Private,141029, HS-grad,9, Separated, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K.\n27, Private,41281, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n41, Federal-gov,27444, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,267945, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n30, Private,177675, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K.\n20, Private,135716, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,44, United-States, <=50K.\n40, Private,91355, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,53292, Assoc-acdm,12, Widowed, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K.\n51, Private,256466, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,50, Philippines, <=50K.\n40, Private,126701, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,13550,0,50, United-States, >50K.\n25, Private,64671, 1st-4th,2, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n50, Without-pay,123004, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female,0,1887,40, United-States, >50K.\n26, Private,167350, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n62, State-gov,160062, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, <=50K.\n34, Private,35683, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,146565, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n37, Self-emp-not-inc,168166, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,117779, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,2977,0,65, United-States, <=50K.\n58, Local-gov,310085, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,262413, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, Italy, <=50K.\n56, Private,152874, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,1741,40, United-States, <=50K.\n29, Private,35314, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K.\n37, Private,32719, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K.\n37, Private,224566, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,190290, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,1602,40, United-States, <=50K.\n26, Private,331806, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,37, United-States, <=50K.\n45, Self-emp-inc,328610, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n20, Private,221533, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,350169, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,38, Japan, <=50K.\n29, Private,125131, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K.\n71, ?,158437, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, Hungary, <=50K.\n37, Private,180714, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,48, United-States, <=50K.\n40, Private,284086, 9th,5, Divorced, Transport-moving, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n33, Private,119422, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n22, ?,327060, HS-grad,9, Never-married, ?, Unmarried, Black, Male,0,0,8, United-States, <=50K.\n32, Private,171813, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n39, Local-gov,20308, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n17, ?,45037, 10th,6, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K.\n53, Private,139157, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,228931, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K.\n60, Private,220729, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n43, Self-emp-not-inc,147230, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n29, Private,79586, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,65, United-States, <=50K.\n40, Self-emp-inc,279914, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,40, United-States, >50K.\n62, Private,142769, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,226525, 10th,6, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n18, Private,178759, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n49, Private,106705, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,36, United-States, <=50K.\n57, Private,194161, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,42, Italy, >50K.\n37, Private,225385, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n66, Self-emp-not-inc,331960, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K.\n50, Private,156877, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, <=50K.\n24, Private,271354, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,33117, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n38, Private,212437, Assoc-acdm,12, Never-married, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n37, Private,121228, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,1726,50, United-States, <=50K.\n62, Self-emp-not-inc,142139, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K.\n54, Private,165001, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, >50K.\n56, Local-gov,294623, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Local-gov,244413, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,35, Dominican-Republic, <=50K.\n29, Private,146014, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n53, Self-emp-not-inc,197014, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n56, Self-emp-not-inc,169528, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n60, ?,162397, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K.\n38, Self-emp-not-inc,154641, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n52, Private,251585, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n28, Private,46322, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,38, United-States, <=50K.\n46, Local-gov,197042, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K.\n43, Private,111829, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Local-gov,229005, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n64, Private,298546, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n43, Federal-gov,111483, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K.\n64, Private,104973, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n40, Private,383300, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,135162, 1st-4th,2, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male,0,0,40, ?, <=50K.\n36, Private,87520, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K.\n19, Private,183258, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,206546, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K.\n55, Private,199212, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,5178,0,40, United-States, >50K.\n41, Local-gov,207685, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,61, United-States, >50K.\n36, Private,213277, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,129980, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n28, Private,118089, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,45, United-States, >50K.\n34, Self-emp-not-inc,236391, 11th,7, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K.\n49, Private,209057, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n47, Private,98044, Preschool,1, Never-married, Other-service, Not-in-family, White, Male,0,0,25, El-Salvador, <=50K.\n21, Private,154192, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,48268, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,158762, 10th,6, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K.\n22, Private,87569, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Female,0,1762,40, United-States, <=50K.\n33, ?,274800, HS-grad,9, Separated, ?, Own-child, Black, Female,0,0,40, United-States, <=50K.\n42, Local-gov,230684, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1579,40, United-States, <=50K.\n52, Private,155496, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n37, Private,22494, Some-college,10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female,0,0,41, United-States, <=50K.\n42, Private,200610, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,60, United-States, <=50K.\n48, State-gov,54985, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,207807, 10th,6, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,30, United-States, <=50K.\n18, Private,294263, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,9, United-States, <=50K.\n23, Private,204226, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n90, Local-gov,188242, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,11678,0,40, United-States, >50K.\n47, Private,20956, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n40, Private,55567, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n23, State-gov,251325, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,8, ?, <=50K.\n33, Self-emp-not-inc,75417, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,8, United-States, <=50K.\n36, Local-gov,185556, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n38, Private,96732, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, Mexico, <=50K.\n31, Private,323985, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n52, Federal-gov,198186, 10th,6, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n21, Private,147884, Some-college,10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n35, Private,285000, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n54, Private,91882, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, <=50K.\n37, Private,196434, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,191968, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Private,222756, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,7430,0,40, United-States, >50K.\n34, Private,66384, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K.\n46, Private,165937, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n56, Private,243076, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,193026, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n39, State-gov,126894, Doctorate,16, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,30, United-States, <=50K.\n24, Private,214399, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,55, United-States, <=50K.\n70, ?,98979, Some-college,10, Married-civ-spouse, ?, Husband, Black, Male,0,0,20, United-States, >50K.\n29, Private,191177, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,18, United-States, <=50K.\n27, Private,420351, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n53, Private,159849, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n36, Private,128392, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,4787,0,40, United-States, >50K.\n27, Private,130492, 11th,7, Divorced, Craft-repair, Unmarried, Other, Male,0,0,35, United-States, <=50K.\n48, Private,59380, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K.\n59, Local-gov,130532, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n29, Private,535740, HS-grad,9, Never-married, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n21, Private,186452, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,35, United-States, <=50K.\n29, Private,276418, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,2051,32, United-States, <=50K.\n19, ?,383715, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n32, Private,418617, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,55, El-Salvador, <=50K.\n23, Private,607118, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,36, United-States, <=50K.\n42, Self-emp-inc,230592, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n68, Local-gov,212932, 10th,6, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,20, United-States, <=50K.\n51, Self-emp-not-inc,321865, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,99, United-States, <=50K.\n36, Private,240755, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K.\n25, Private,167571, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n70, Self-emp-not-inc,165586, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Self-emp-not-inc,132267, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,60, United-States, <=50K.\n53, Private,308082, Preschool,1, Never-married, Other-service, Not-in-family, White, Female,0,0,15, El-Salvador, <=50K.\n31, Self-emp-not-inc,402812, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,45, United-States, >50K.\n25, Local-gov,136357, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,117549, 11th,7, Never-married, Sales, Own-child, Black, Female,0,0,35, United-States, <=50K.\n41, Private,482677, 10th,6, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K.\n72, Self-emp-not-inc,112658, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,2653,0,42, United-States, <=50K.\n34, Private,120461, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,83444, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,55, United-States, >50K.\n34, Private,93699, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K.\n45, Private,174794, Some-college,10, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,29, United-States, <=50K.\n22, Private,157332, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n20, Private,420973, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n30, Private,176471, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K.\n31, Private,113708, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n21, State-gov,82497, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n32, Private,169512, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,60, United-States, >50K.\n44, Private,157765, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,277946, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n21, ?,195808, 11th,7, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K.\n50, Private,57852, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n46, Private,99699, Bachelors,13, Separated, Prof-specialty, Not-in-family, Black, Female,0,1876,40, United-States, <=50K.\n32, Private,296466, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n44, Self-emp-inc,248476, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n43, Private,409902, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,96, United-States, <=50K.\n19, ?,187161, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n36, Local-gov,220237, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1977,40, United-States, >50K.\n21, Private,303187, Some-college,10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n38, Private,285890, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,55, United-States, >50K.\n38, Self-emp-inc,63322, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n56, Self-emp-not-inc,159937, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,30, United-States, >50K.\n28, Private,208725, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,325159, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n56, Private,89698, HS-grad,9, Widowed, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n32, Private,399088, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n35, Private,134922, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,50, United-States, <=50K.\n22, Private,245866, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,406328, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,50, United-States, >50K.\n72, Self-emp-not-inc,203523, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, <=50K.\n30, Private,272432, HS-grad,9, Never-married, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n30, State-gov,182271, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Private,193746, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n49, Self-emp-not-inc,203505, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n41, Private,118484, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,391591, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n29, Private,30069, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,50, United-States, <=50K.\n38, Private,179731, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,52, United-States, <=50K.\n34, Private,128016, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,2202,0,40, United-States, <=50K.\n38, Private,139473, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n26, State-gov,130302, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,250630, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Local-gov,115222, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,10520,0,40, United-States, >50K.\n19, Private,198700, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,20, United-States, <=50K.\n23, Private,394191, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n78, Private,163140, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K.\n26, Private,243786, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n42, State-gov,248406, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,38, United-States, >50K.\n20, ?,33860, Some-college,10, Never-married, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,28, United-States, <=50K.\n45, Private,138342, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,84, United-States, <=50K.\n41, Private,115254, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n55, Private,173504, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, >50K.\n17, Private,89259, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K.\n30, State-gov,152940, Masters,14, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K.\n27, Private,58124, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n40, Private,201908, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,156780, HS-grad,9, Married-spouse-absent, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K.\n26, Private,152924, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n31, Private,115963, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,375313, Some-college,10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male,0,0,45, Philippines, <=50K.\n46, Local-gov,126754, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n35, State-gov,223725, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, <=50K.\n38, Private,298871, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K.\n25, Local-gov,306352, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,40, Mexico, >50K.\n45, Private,166879, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, ?,125040, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Self-emp-not-inc,198493, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n44, Private,86298, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n40, Private,249039, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,217200, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,145139, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n24, Local-gov,146343, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,102976, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n50, Local-gov,24013, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n54, Private,162745, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K.\n55, Private,128045, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Private,245937, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, <=50K.\n34, Private,426431, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n41, Private,409902, 10th,6, Separated, Other-service, Unmarried, Black, Female,0,0,33, United-States, <=50K.\n43, Private,580591, 1st-4th,2, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,28, Mexico, <=50K.\n76, Self-emp-not-inc,130585, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,12, United-States, <=50K.\n24, Private,201145, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n51, Private,196107, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n55, Private,178353, 9th,5, Divorced, Machine-op-inspct, Not-in-family, White, Male,10520,0,60, United-States, >50K.\n23, Private,195508, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K.\n23, Private,224716, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n18, ?,280901, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n43, Private,169076, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n39, Private,141584, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K.\n57, Self-emp-not-inc,253267, 5th-6th,3, Separated, Other-service, Unmarried, White, Female,0,0,35, Cuba, <=50K.\n27, Private,203776, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n54, Local-gov,449172, Bachelors,13, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n37, Private,174329, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n44, Private,91674, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n62, Private,202958, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,205680, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n29, Private,193932, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,177635, 12th,8, Married-spouse-absent, Transport-moving, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n65, ?,180422, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,6723,0,38, United-States, <=50K.\n18, Private,231335, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,141058, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K.\n20, Federal-gov,114365, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n23, Local-gov,212856, Assoc-acdm,12, Never-married, Protective-serv, Own-child, Black, Female,0,0,35, United-States, <=50K.\n23, Private,64292, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n58, Self-emp-not-inc,96609, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, ?,438427, Assoc-acdm,12, Separated, ?, Unmarried, Black, Female,0,0,55, United-States, <=50K.\n62, ?,144026, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n21, Private,105997, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K.\n47, Local-gov,154430, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n19, Private,162954, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n21, Private,94826, 5th-6th,3, Never-married, Craft-repair, Own-child, White, Male,0,0,40, Guatemala, <=50K.\n27, Private,54897, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,135020, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,60, United-States, <=50K.\n40, Self-emp-not-inc,367819, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K.\n22, Private,225531, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,2205,40, United-States, <=50K.\n49, Private,165937, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,131230, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,30, United-States, <=50K.\n38, Private,95647, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K.\n66, Private,115880, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,10605,0,40, United-States, >50K.\n37, Private,262278, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, Black, Male,15024,0,45, United-States, >50K.\n38, Private,126755, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n47, Local-gov,150211, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,188694, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K.\n53, Self-emp-inc,59840, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n36, Private,144752, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K.\n63, Private,192042, HS-grad,9, Married-civ-spouse, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K.\n46, Private,230806, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,364946, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n40, Private,133986, 10th,6, Separated, Transport-moving, Unmarried, White, Female,0,0,70, United-States, <=50K.\n21, ?,201418, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n31, Private,236543, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K.\n45, Private,238386, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n50, Local-gov,96062, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K.\n41, Private,202565, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,194063, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Self-emp-not-inc,243733, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,70, United-States, >50K.\n20, Private,403519, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,1719,33, United-States, <=50K.\n48, State-gov,104353, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, Black, Female,0,0,40, United-States, >50K.\n23, Private,239539, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n36, Private,104089, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Local-gov,93585, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n43, Private,139277, HS-grad,9, Widowed, Craft-repair, Unmarried, White, Female,0,0,40, Italy, <=50K.\n22, Private,124971, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n50, Private,82566, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K.\n22, Private,145964, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K.\n32, Federal-gov,177855, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K.\n18, Private,263656, 11th,7, Never-married, Sales, Own-child, Black, Male,0,0,25, United-States, <=50K.\n40, Private,199191, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, England, >50K.\n39, Private,212840, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n56, Private,191330, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n50, Self-emp-inc,193720, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, Greece, >50K.\n39, Self-emp-inc,172927, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n33, Private,51185, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,186145, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,181307, Doctorate,16, Separated, Prof-specialty, Not-in-family, White, Male,0,1408,40, United-States, <=50K.\n20, Private,180052, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,22, United-States, <=50K.\n24, ?,61791, 9th,5, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,52505, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K.\n36, Private,48976, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K.\n37, Private,281012, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, Asian-Pac-Islander, Female,0,0,40, China, >50K.\n33, Private,156464, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n71, Local-gov,94358, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,6, United-States, <=50K.\n44, Federal-gov,296858, Masters,14, Married-civ-spouse, Armed-Forces, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,84790, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,177054, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n38, Local-gov,131239, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n30, Federal-gov,49398, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,27242, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Philippines, <=50K.\n41, Local-gov,113324, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,295591, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n61, Private,48549, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,38, United-States, >50K.\n45, Local-gov,384627, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,2580,0,18, United-States, <=50K.\n25, Private,266062, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n26, State-gov,208117, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,38, United-States, <=50K.\n23, Private,315476, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K.\n35, Private,20308, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n60, Private,169204, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,319831, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n32, Private,80356, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K.\n26, Private,313473, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n31, Private,209529, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Puerto-Rico, <=50K.\n24, Private,214956, 11th,7, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n31, Private,557853, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5013,0,32, United-States, <=50K.\n49, Private,78529, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n37, Private,446390, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, >50K.\n43, Local-gov,256253, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n31, Private,61898, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n34, Private,181152, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,35, United-States, <=50K.\n34, Private,90409, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Self-emp-inc,237713, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n29, Private,176727, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n26, Private,285367, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Male,4416,0,28, United-States, <=50K.\n36, Private,135293, Masters,14, Separated, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n39, ?,105044, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,7298,0,40, United-States, >50K.\n48, State-gov,98010, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,16, United-States, >50K.\n56, Private,162301, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n65, Self-emp-inc,103824, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,115677, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K.\n48, Local-gov,319079, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,30, United-States, <=50K.\n64, Private,134912, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,12, United-States, <=50K.\n31, Private,35985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,245317, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,35743, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n54, Private,231004, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n51, Private,237295, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,43311, 5th-6th,3, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, El-Salvador, <=50K.\n18, Private,154583, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K.\n64, Private,278515, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n26, Private,266062, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n36, Self-emp-not-inc,172425, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,25, United-States, >50K.\n46, Self-emp-not-inc,102388, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n48, Private,195554, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K.\n32, Private,265368, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1902,44, United-States, >50K.\n19, Private,100669, Assoc-voc,11, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K.\n45, Private,233511, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n42, Self-emp-inc,223566, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,15, United-States, <=50K.\n22, Private,95552, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Private,159676, HS-grad,9, Divorced, Transport-moving, Other-relative, White, Male,0,0,40, United-States, <=50K.\n19, ?,80978, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K.\n48, Private,70584, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,153475, 11th,7, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,104489, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n54, Private,146325, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n39, Self-emp-not-inc,246900, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n35, Private,187589, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Self-emp-not-inc,65535, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n50, Private,38540, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,191389, 5th-6th,3, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Italy, <=50K.\n19, Private,231492, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,60, United-States, <=50K.\n32, Private,130007, 10th,6, Divorced, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n64, Self-emp-inc,487751, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Private,52240, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n65, Self-emp-not-inc,172906, Assoc-acdm,12, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n47, Private,158685, 12th,8, Divorced, Other-service, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n33, Private,307693, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,30, United-States, <=50K.\n40, Private,202922, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Local-gov,119563, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n30, Private,161444, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K.\n27, Private,82242, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Male,0,0,45, Germany, <=50K.\n68, Private,357233, HS-grad,9, Widowed, Handlers-cleaners, Other-relative, White, Female,0,0,10, United-States, <=50K.\n31, Private,177596, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Puerto-Rico, <=50K.\n27, Private,209085, HS-grad,9, Never-married, Sales, Other-relative, White, Male,0,0,45, United-States, <=50K.\n35, Private,241306, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n32, Private,19447, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n48, Private,195104, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n22, Private,109456, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,32, United-States, <=50K.\n68, Private,34887, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,6, United-States, <=50K.\n55, Private,202435, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n49, Private,191821, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K.\n49, Self-emp-not-inc,228372, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,60, United-States, >50K.\n37, Private,78374, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,38, Japan, <=50K.\n58, Private,129786, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,410439, HS-grad,9, Divorced, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K.\n35, Self-emp-inc,152307, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,40, United-States, <=50K.\n42, Private,33895, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Private,178390, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n63, Private,114011, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,157839, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n30, Federal-gov,97355, Some-college,10, Separated, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,369781, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,15024,0,45, United-States, >50K.\n22, Private,225515, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K.\n21, Private,138513, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,25, United-States, <=50K.\n72, Self-emp-not-inc,138248, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K.\n28, Self-emp-not-inc,149141, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n36, Federal-gov,233955, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n40, Federal-gov,150533, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1977,40, United-States, >50K.\n53, Private,233369, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n22, Private,188779, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,16, United-States, <=50K.\n53, Private,287927, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,60, England, <=50K.\n20, ?,96483, Some-college,10, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,8, United-States, <=50K.\n39, Private,165215, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,15, Poland, <=50K.\n32, Private,107142, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,50, United-States, <=50K.\n48, Private,82008, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n25, Private,116044, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n58, Private,160101, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n41, Private,356934, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K.\n36, Private,204527, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,1506,0,40, United-States, <=50K.\n36, Private,276276, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,110408, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n37, Private,187022, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,117528, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n50, Private,180439, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,33, United-States, <=50K.\n47, Private,185870, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n21, Private,290504, Some-college,10, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n49, Private,162264, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n38, Private,253716, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, State-gov,190525, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n29, Private,283227, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,375221, 11th,7, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,35, United-States, <=50K.\n30, Private,194971, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,52, China, <=50K.\n30, Private,198091, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K.\n30, Private,224462, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,198751, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K.\n27, Private,221166, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n54, Local-gov,277777, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,3103,0,40, United-States, >50K.\n32, Local-gov,247156, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,3103,0,38, United-States, >50K.\n23, Private,61777, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,2580,0,40, United-States, <=50K.\n62, Private,67928, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K.\n20, Private,204596, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,32, United-States, <=50K.\n23, Private,27881, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,66, United-States, <=50K.\n48, Private,332884, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n60, Private,178551, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,26, United-States, <=50K.\n22, Private,215917, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n56, Private,284701, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n63, Private,286990, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n73, Private,366204, 7th-8th,4, Widowed, Priv-house-serv, Unmarried, Black, Female,1264,0,10, United-States, <=50K.\n22, Private,163519, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n51, Private,123780, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n39, Private,108140, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Federal-gov,469263, HS-grad,9, Divorced, Craft-repair, Unmarried, Black, Male,0,0,50, United-States, <=50K.\n52, Private,216558, Some-college,10, Separated, Craft-repair, Other-relative, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n46, Private,149218, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n32, Private,113453, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,24, United-States, >50K.\n46, Private,23545, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,409443, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,25, Mexico, <=50K.\n29, Local-gov,152744, Masters,14, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female,1506,0,40, United-States, <=50K.\n33, Private,166543, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n23, Private,224217, 11th,7, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n41, State-gov,244522, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Male,0,0,55, United-States, <=50K.\n50, Private,148121, Some-college,10, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n69, Private,295425, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,24, United-States, <=50K.\n30, Self-emp-not-inc,255424, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K.\n21, Private,97214, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n29, Local-gov,158703, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n43, ?,478972, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K.\n44, Private,180383, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K.\n33, Private,159123, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,231230, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n25, Private,134232, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n23, Private,90729, 11th,7, Never-married, Machine-op-inspct, Unmarried, Other, Male,0,0,40, United-States, <=50K.\n36, Private,275338, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n23, Private,410446, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Private,120475, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n39, Federal-gov,127048, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n60, State-gov,113544, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n34, Self-emp-inc,233727, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n62, Self-emp-not-inc,210064, Some-college,10, Widowed, Prof-specialty, Unmarried, White, Male,0,0,20, United-States, <=50K.\n53, Private,77462, Some-college,10, Separated, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n25, Private,108001, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n36, Private,379522, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, United-States, >50K.\n29, State-gov,51461, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n31, Private,147270, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n44, Private,118212, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,189792, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n58, Private,225623, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K.\n38, Private,248445, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n39, Private,218490, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K.\n22, ?,379883, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n38, Self-emp-inc,312232, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n47, Private,234470, Assoc-acdm,12, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n19, Private,389942, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,79483, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n39, Private,389279, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Self-emp-not-inc,107581, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,176458, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K.\n19, Private,70505, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n51, Local-gov,259646, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n40, Private,235743, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, United-States, <=50K.\n35, Private,177449, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,52, United-States, >50K.\n28, Private,103432, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,45, Portugal, >50K.\n47, Private,347088, 5th-6th,3, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,275924, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,50, Mexico, >50K.\n34, Private,162113, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,48, United-States, >50K.\n17, Private,147497, 5th-6th,3, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n33, Self-emp-not-inc,37232, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,10520,0,80, United-States, >50K.\n33, Private,441949, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K.\n30, Private,285855, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,103123, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,207076, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n38, Self-emp-not-inc,36270, HS-grad,9, Married-spouse-absent, Farming-fishing, Unmarried, White, Male,0,0,60, United-States, <=50K.\n43, Private,206927, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K.\n32, Private,236415, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Private,108035, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,225395, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,24, United-States, <=50K.\n28, State-gov,140239, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,11, United-States, <=50K.\n36, Private,338033, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n55, Private,314164, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n56, Private,337065, 7th-8th,4, Divorced, Farming-fishing, Other-relative, White, Male,0,0,40, United-States, <=50K.\n33, State-gov,340899, Doctorate,16, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K.\n49, Private,102096, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3781,0,40, United-States, <=50K.\n47, Private,31141, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n62, Private,312818, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,1, United-States, >50K.\n42, Local-gov,270147, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,97279, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n31, Private,247328, 5th-6th,3, Never-married, Transport-moving, Not-in-family, White, Male,0,0,30, El-Salvador, <=50K.\n48, Self-emp-not-inc,31267, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,3411,0,70, United-States, <=50K.\n32, Private,220066, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Self-emp-not-inc,159269, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,53, Yugoslavia, <=50K.\n47, Private,155107, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Local-gov,354351, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n18, Private,129053, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,28, United-States, <=50K.\n58, Private,255822, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,192323, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,176244, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K.\n23, Private,223019, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n32, Private,243243, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,77, United-States, <=50K.\n22, State-gov,194630, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,10, United-States, <=50K.\n51, Self-emp-inc,98980, HS-grad,9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,0,0,99, United-States, >50K.\n39, Private,223792, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,72, United-States, <=50K.\n31, Private,415706, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, Local-gov,68781, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n68, Self-emp-inc,113718, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,1258,40, United-States, <=50K.\n37, Local-gov,152587, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, State-gov,120268, Some-college,10, Married-civ-spouse, Craft-repair, Own-child, White, Male,0,0,50, United-States, >50K.\n37, Private,52870, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Local-gov,193895, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n32, Private,239662, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1579,36, United-States, <=50K.\n51, Local-gov,201040, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Mexico, >50K.\n36, State-gov,25806, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K.\n46, Private,130667, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n55, Private,141807, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n51, State-gov,108037, Doctorate,16, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n50, Local-gov,129311, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,149218, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K.\n42, Private,337276, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n48, Local-gov,24366, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n61, ?,149855, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,2057,70, United-States, <=50K.\n35, Self-emp-inc,49020, Assoc-acdm,12, Never-married, Farming-fishing, Own-child, White, Male,0,0,35, United-States, <=50K.\n36, Private,165007, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,83413, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Private,103331, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,15024,0,44, United-States, >50K.\n56, Private,142689, 11th,7, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n36, Private,398575, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Private,166301, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,53703, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,274907, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n34, Private,226525, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,36440, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,81965, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K.\n52, Private,111192, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n20, Private,214238, 11th,7, Never-married, Sales, Other-relative, White, Female,0,0,32, Mexico, <=50K.\n43, Private,115932, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,173730, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n63, Private,123157, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n67, Private,220283, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n24, Private,155066, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,244246, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, Poland, <=50K.\n37, Private,112264, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n54, Private,200450, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n66, ?,128609, HS-grad,9, Divorced, ?, Not-in-family, Black, Male,0,0,40, United-States, >50K.\n57, Private,340591, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n36, Local-gov,43712, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n41, Private,316820, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K.\n48, Private,44142, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K.\n24, Private,311311, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n66, ?,143417, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, <=50K.\n29, Private,264166, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, Mexico, <=50K.\n44, Private,112656, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, <=50K.\n45, Private,123844, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,60, United-States, <=50K.\n27, Private,146760, Some-college,10, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n36, Private,225516, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K.\n36, Private,114366, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n32, State-gov,199227, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, <=50K.\n18, Private,299347, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n39, Private,74194, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,1721,45, United-States, <=50K.\n25, Private,244408, HS-grad,9, Married-civ-spouse, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n26, Private,198289, 12th,8, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, Puerto-Rico, <=50K.\n63, State-gov,89451, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n50, Local-gov,149433, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n47, Private,236999, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n17, Private,34943, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K.\n46, Self-emp-inc,40666, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024,0,40, United-States, >50K.\n34, Private,329170, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,6849,0,70, United-States, <=50K.\n26, Private,122999, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n48, Local-gov,118972, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,205068, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,60, United-States, >50K.\n40, Private,195124, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Columbia, <=50K.\n21, Private,143184, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n55, ?,90290, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,175232, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,319366, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Haiti, >50K.\n34, Private,61559, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n47, Private,247869, Some-college,10, Separated, Transport-moving, Unmarried, White, Male,0,0,50, United-States, >50K.\n39, Private,204158, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,60, United-States, >50K.\n36, Private,239755, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,198210, HS-grad,9, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n46, Local-gov,190961, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n77, Private,171193, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Female,0,1668,30, United-States, <=50K.\n27, Private,110073, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, England, >50K.\n19, Private,163885, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n38, Private,99783, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,0,1902,40, United-States, <=50K.\n18, Private,430930, 11th,7, Never-married, Priv-house-serv, Own-child, White, Female,0,0,6, United-States, <=50K.\n54, Private,200450, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,35, United-States, <=50K.\n33, Private,226296, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1672,50, United-States, <=50K.\n45, Self-emp-inc,214690, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,181008, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, England, >50K.\n26, Local-gov,345779, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,43, United-States, <=50K.\n26, Private,58350, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n41, Private,164647, HS-grad,9, Divorced, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n21, Private,142809, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,105803, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,195067, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,289964, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n26, Private,194813, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-inc,303211, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,37932, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n73, Self-emp-not-inc,268832, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n33, Private,63925, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n25, Private,189897, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Private,635913, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n25, ?,296228, Some-college,10, Never-married, ?, Unmarried, Other, Female,0,0,42, United-States, <=50K.\n42, Self-emp-not-inc,138162, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n54, Self-emp-not-inc,164757, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,16, United-States, <=50K.\n33, Private,236013, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, >50K.\n79, Private,149912, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,85384, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n52, Self-emp-not-inc,30008, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n23, State-gov,209744, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n25, Private,161027, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n54, Private,131662, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Germany, <=50K.\n47, Private,115971, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,88373, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,16, United-States, <=50K.\n45, Federal-gov,211399, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K.\n22, Local-gov,273989, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Private,124614, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Private,263439, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Self-emp-not-inc,19896, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,60, United-States, >50K.\n31, Private,229732, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,50, United-States, <=50K.\n59, ?,169611, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,7298,0,12, United-States, >50K.\n36, Private,220237, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, Greece, >50K.\n46, Self-emp-not-inc,130779, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, >50K.\n24, Private,152540, Bachelors,13, Divorced, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Private,168330, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,40, United-States, <=50K.\n29, Private,485944, Bachelors,13, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K.\n34, Private,199539, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n26, Private,210521, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K.\n19, Private,244175, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,25, United-States, <=50K.\n42, Private,223763, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n56, Self-emp-not-inc,183580, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, ?, <=50K.\n42, Private,63596, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n35, Private,108540, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,40, United-States, <=50K.\n43, Self-emp-not-inc,116632, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,1887,45, United-States, >50K.\n17, Private,175414, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K.\n38, Federal-gov,290624, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,557805, Assoc-voc,11, Never-married, Sales, Other-relative, White, Female,0,0,40, El-Salvador, <=50K.\n20, Private,19410, HS-grad,9, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n48, Private,206357, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,44, United-States, <=50K.\n38, Private,216385, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,1740,40, Haiti, <=50K.\n46, Private,120131, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,40, United-States, >50K.\n72, Private,131699, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,6, United-States, <=50K.\n30, Self-emp-not-inc,157778, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n31, Private,302679, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,133292, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K.\n83, Self-emp-not-inc,243567, 11th,7, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n61, Private,72442, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n42, Self-emp-not-inc,43909, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n23, Private,108307, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Local-gov,87467, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,18, United-States, <=50K.\n42, State-gov,99185, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n27, Federal-gov,37274, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K.\n44, Self-emp-not-inc,342434, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n62, Self-emp-not-inc,234372, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n66, Self-emp-inc,107627, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n22, ?,377725, Bachelors,13, Never-married, ?, Not-in-family, White, Female,0,0,23, United-States, <=50K.\n32, Private,30271, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,45, United-States, <=50K.\n30, Private,368570, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n43, Private,316820, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n56, State-gov,176538, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n64, Private,265786, 5th-6th,3, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n31, Private,82393, Some-college,10, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male,0,0,30, Philippines, <=50K.\n46, Private,318259, Some-college,10, Separated, Tech-support, Unmarried, White, Female,0,0,55, United-States, <=50K.\n45, Private,157980, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K.\n41, Private,173981, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K.\n52, Federal-gov,165050, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,48, United-States, >50K.\n19, Private,303652, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K.\n34, Private,393376, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n57, Self-emp-inc,121912, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n30, Private,351770, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K.\n39, Self-emp-not-inc,198841, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, Canada, >50K.\n41, Local-gov,139160, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n21, ?,214810, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K.\n31, Private,137385, Some-college,10, Never-married, Tech-support, Not-in-family, Black, Female,0,0,50, United-States, <=50K.\n39, Private,86643, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,27828,0,55, United-States, >50K.\n20, Private,200089, 11th,7, Never-married, Farming-fishing, Other-relative, White, Male,0,0,36, El-Salvador, <=50K.\n26, Private,219199, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n36, Private,142711, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n29, Private,626493, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,177125, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n28, State-gov,181776, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,1876,70, United-States, <=50K.\n36, Private,257250, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K.\n42, Private,444134, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n18, ?,24688, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Local-gov,33731, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,209443, Bachelors,13, Married-AF-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n39, Private,140854, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,60, United-States, >50K.\n50, Private,330142, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,44, United-States, <=50K.\n26, Private,29488, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n52, Private,279129, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n32, Private,177940, Assoc-acdm,12, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,48, United-States, <=50K.\n19, Private,391403, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K.\n36, Private,334365, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n28, Private,171356, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,55, United-States, <=50K.\n45, Private,71145, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, United-States, >50K.\n25, Private,36943, Assoc-acdm,12, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n42, Private,285787, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Private,433580, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Self-emp-not-inc,50197, 9th,5, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,30, United-States, <=50K.\n59, State-gov,139611, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1977,40, India, >50K.\n31, Private,187802, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,241431, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,121775, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,136758, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,10, United-States, <=50K.\n22, Private,493034, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n20, Private,132139, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n50, Self-emp-not-inc,100109, 11th,7, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, ?, <=50K.\n23, Private,198861, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,1669,40, United-States, <=50K.\n19, Private,273226, 11th,7, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, Private,323054, HS-grad,9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,30, United-States, <=50K.\n22, Private,284895, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n21, Private,191324, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n53, Private,92565, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n46, Private,234690, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Cuba, >50K.\n20, Private,258509, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n42, State-gov,178897, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,1151,0,40, United-States, <=50K.\n65, Private,220788, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n55, Private,376548, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,228592, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,18, United-States, <=50K.\n33, Local-gov,177216, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n33, ?,211743, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,21, United-States, <=50K.\n21, Private,23813, 10th,6, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n47, Private,195688, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n26, Private,124953, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, ?, <=50K.\n34, Private,129775, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,339644, HS-grad,9, Married-spouse-absent, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n61, Private,149648, 11th,7, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n79, Private,187492, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,7, United-States, <=50K.\n18, Private,336523, 12th,8, Never-married, Other-service, Other-relative, Black, Male,0,0,20, United-States, <=50K.\n39, State-gov,222530, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Female,0,1590,40, United-States, <=50K.\n49, Self-emp-inc,140644, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,5013,0,45, United-States, <=50K.\n31, Private,265201, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Germany, <=50K.\n47, Private,135246, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n36, Private,89202, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n25, Private,296394, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,45, United-States, <=50K.\n50, Local-gov,66544, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,65, United-States, <=50K.\n41, Self-emp-not-inc,165815, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, Private,187722, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n38, Local-gov,187046, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,397877, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n37, Private,258827, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n19, Private,119529, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K.\n22, Private,97212, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n19, Private,47235, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,75, United-States, <=50K.\n56, Private,359972, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,97212, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K.\n52, Local-gov,72036, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,25, United-States, <=50K.\n35, Private,174938, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,201404, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,56, United-States, <=50K.\n23, Private,234791, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,36, United-States, <=50K.\n33, State-gov,85632, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n17, Private,147411, 5th-6th,3, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n36, Private,127388, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n21, Private,116657, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, ?,194608, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K.\n28, Private,108706, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,20, United-States, <=50K.\n19, Private,158343, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n51, Private,914061, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n38, Private,190174, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K.\n19, Private,456736, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n46, Self-emp-inc,167882, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,8614,0,70, United-States, >50K.\n42, Self-emp-inc,557349, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K.\n19, Private,310483, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n29, Private,78261, HS-grad,9, Separated, Protective-serv, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n39, Private,172571, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n21, Private,230229, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n30, Private,183017, HS-grad,9, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,230329, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K.\n47, Private,46537, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Private,409622, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K.\n46, Private,190482, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, State-gov,113588, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,24, United-States, <=50K.\n46, Self-emp-not-inc,246891, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,99, United-States, >50K.\n50, Private,193081, Preschool,1, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, Haiti, <=50K.\n50, ?,284477, 5th-6th,3, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,141420, HS-grad,9, Married-civ-spouse, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,197325, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,443336, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n37, Private,66304, 9th,5, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,16, United-States, <=50K.\n25, Private,180783, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,10, United-States, <=50K.\n38, Local-gov,218763, Masters,14, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n39, Federal-gov,388252, Bachelors,13, Never-married, Tech-support, Own-child, Black, Male,0,0,40, United-States, <=50K.\n22, Private,55614, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n25, Private,307643, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,45, United-States, >50K.\n18, ?,33241, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n25, Local-gov,58065, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, <=50K.\n65, State-gov,172348, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,20, United-States, <=50K.\n72, Private,138790, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, United-States, <=50K.\n25, State-gov,117393, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,38, United-States, <=50K.\n22, Private,227220, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,241306, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,189565, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-inc,182714, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,113839, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,92531, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,119629, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n26, Private,322585, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,277347, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,221955, 5th-6th,3, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n38, Private,149347, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n75, Private,207116, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,174077, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,32, United-States, <=50K.\n50, Private,22418, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Self-emp-not-inc,255252, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n74, Private,159138, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,12, United-States, <=50K.\n38, Private,414991, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,282678, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n53, Federal-gov,164195, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,4386,0,40, United-States, >50K.\n21, Private,143436, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,202046, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Canada, <=50K.\n21, ?,202214, Some-college,10, Never-married, ?, Own-child, White, Female,0,1721,40, United-States, <=50K.\n55, Private,236731, 1st-4th,2, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Dominican-Republic, <=50K.\n23, Local-gov,307267, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,10, United-States, <=50K.\n49, Private,144514, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Private,155913, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n17, Private,206383, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,17, United-States, <=50K.\n25, Private,233994, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Self-emp-not-inc,123291, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n34, Self-emp-not-inc,195602, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n20, Private,151888, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n52, Private,103995, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n31, Private,263796, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,111499, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,202222, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,230246, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Private,37778, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K.\n17, Private,144752, 10th,6, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,20, United-States, <=50K.\n27, Private,220931, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K.\n38, Federal-gov,68840, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,205339, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,172837, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,52, United-States, >50K.\n41, State-gov,159131, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K.\n30, Private,207284, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,350824, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n70, ?,116080, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, >50K.\n39, Self-emp-not-inc,183081, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, >50K.\n37, Self-emp-not-inc,177974, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,3942,0,99, United-States, <=50K.\n63, Private,192849, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,0,0,10, United-States, <=50K.\n18, Private,169882, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,12, United-States, <=50K.\n21, Private,137320, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K.\n34, Private,251521, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n17, Private,329791, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K.\n32, Private,261319, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n37, Local-gov,343052, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,53271, HS-grad,9, Never-married, Transport-moving, Other-relative, White, Male,0,0,38, United-States, <=50K.\n20, Private,129024, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n29, Private,179768, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n32, Private,144949, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,150861, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n44, Local-gov,112763, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K.\n25, Private,116358, HS-grad,9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n38, Self-emp-not-inc,331374, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,60, United-States, <=50K.\n52, Private,152811, 10th,6, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n68, Local-gov,202699, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,6418,0,35, United-States, >50K.\n55, Private,92847, 7th-8th,4, Widowed, Priv-house-serv, Unmarried, White, Female,0,0,30, United-States, <=50K.\n41, Private,137142, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n36, Private,953588, 11th,7, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, Local-gov,225544, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,48, United-States, <=50K.\n62, Private,116289, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n32, Private,279912, Some-college,10, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n57, Self-emp-not-inc,256630, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,60, Canada, >50K.\n42, Private,259727, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,25236,0,20, United-States, >50K.\n47, Private,331650, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n34, Private,182006, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Female,4416,0,30, United-States, <=50K.\n19, Private,277708, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n36, Private,64874, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,376455, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n57, Private,125000, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,390369, Assoc-acdm,12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,250423, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n48, Local-gov,27802, Masters,14, Separated, Prof-specialty, Not-in-family, White, Male,0,1876,50, United-States, <=50K.\n50, Private,137192, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,20, Philippines, <=50K.\n28, State-gov,200068, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Other, Female,0,0,40, United-States, <=50K.\n26, Private,220656, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K.\n35, Private,199501, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,50, Jamaica, <=50K.\n26, Private,181613, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K.\n32, Private,329432, Masters,14, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n37, Private,139180, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n24, ?,263612, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n73, ?,402363, Masters,14, Married-civ-spouse, ?, Wife, White, Female,0,0,16, United-States, >50K.\n25, Private,256545, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n31, Private,246439, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n20, Private,182615, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,131401, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n26, Private,259138, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,2407,0,36, United-States, <=50K.\n43, Private,107503, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K.\n61, State-gov,205482, HS-grad,9, Married-spouse-absent, Transport-moving, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n34, Private,184833, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,4650,0,50, United-States, <=50K.\n43, Private,395997, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n33, Private,158438, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n42, Self-emp-inc,190044, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,52, United-States, >50K.\n42, Self-emp-not-inc,184378, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,118983, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,30, United-States, <=50K.\n48, Private,99127, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Local-gov,106982, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,52, United-States, <=50K.\n47, Private,213668, Some-college,10, Separated, Machine-op-inspct, Not-in-family, White, Male,8614,0,65, United-States, >50K.\n50, Local-gov,159689, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K.\n57, Private,354923, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n21, Private,200207, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Local-gov,98590, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,221947, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n33, Private,160634, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K.\n53, Local-gov,179237, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,97771, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n17, Private,237399, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K.\n35, Private,276559, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,45, United-States, >50K.\n50, Private,178251, Masters,14, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n58, Private,145370, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,15024,0,50, United-States, >50K.\n21, Private,249271, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n66, Self-emp-not-inc,257562, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Federal-gov,115842, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,341368, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n20, ?,172232, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,60, United-States, <=50K.\n25, Private,67151, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n21, Private,228649, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n53, Private,164198, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K.\n64, Local-gov,190228, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, >50K.\n19, Private,179707, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K.\n59, Self-emp-inc,132559, Doctorate,16, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,55, United-States, >50K.\n36, Private,473547, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,30, United-States, <=50K.\n55, Self-emp-inc,284526, 5th-6th,3, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Cuba, <=50K.\n20, Private,112854, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n28, Private,271012, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n34, Private,298995, Some-college,10, Never-married, Tech-support, Not-in-family, Black, Female,0,0,50, United-States, <=50K.\n20, Never-worked,273905, HS-grad,9, Married-spouse-absent, ?, Other-relative, White, Male,0,0,35, United-States, <=50K.\n41, Private,172712, Bachelors,13, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, >50K.\n33, Private,205249, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,55, ?, <=50K.\n24, Private,375698, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, Japan, <=50K.\n42, State-gov,355756, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,147951, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K.\n58, Private,156493, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, United-States, <=50K.\n34, Private,215857, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K.\n22, Private,88824, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,242150, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n30, Private,295010, Some-college,10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, >50K.\n67, Self-emp-not-inc,268781, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, >50K.\n46, Private,360593, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,4650,0,44, United-States, <=50K.\n35, Private,306678, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K.\n42, Self-emp-inc,377018, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,131230, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, ?,457710, 11th,7, Never-married, ?, Own-child, White, Male,0,0,16, Mexico, <=50K.\n34, Self-emp-inc,229732, Assoc-acdm,12, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n21, Private,159879, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n49, Private,204629, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,46580, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n25, Private,471768, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,32, United-States, <=50K.\n38, Private,117802, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K.\n28, Private,175537, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,37, United-States, <=50K.\n22, Private,247734, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n43, Private,190885, 7th-8th,4, Widowed, Other-service, Unmarried, White, Female,0,0,38, Mexico, <=50K.\n49, Private,117849, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n54, Self-emp-inc,103794, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,5721,0,35, United-States, <=50K.\n35, Self-emp-not-inc,222450, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K.\n36, Private,558344, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,48, United-States, <=50K.\n18, Private,131825, 11th,7, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,21, United-States, <=50K.\n45, Private,166181, HS-grad,9, Widowed, Priv-house-serv, Own-child, Black, Female,0,0,25, United-States, <=50K.\n22, Private,179392, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n47, Local-gov,232149, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K.\n23, Private,96748, Bachelors,13, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, Private,177895, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,207066, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n53, Private,127749, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,216129, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n67, ?,401273, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,5, United-States, <=50K.\n51, Private,245356, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,55, United-States, >50K.\n52, Private,30846, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,216414, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Private,361390, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4064,0,40, Italy, <=50K.\n29, Private,255364, Some-college,10, Divorced, Other-service, Own-child, White, Male,594,0,24, United-States, <=50K.\n19, Private,197377, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,20, United-States, <=50K.\n66, Self-emp-not-inc,197816, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,17, United-States, >50K.\n38, Private,194140, Some-college,10, Separated, Machine-op-inspct, Unmarried, Black, Male,0,0,50, United-States, <=50K.\n67, ?,110122, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, >50K.\n33, Private,102130, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n51, Federal-gov,85815, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n30, Private,176064, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,55, United-States, <=50K.\n43, Private,38946, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n29, Private,249463, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,175665, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K.\n58, Private,111385, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n56, State-gov,165867, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,347890, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-inc,49249, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n50, Private,125417, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,65, United-States, >50K.\n73, Self-emp-not-inc,30958, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K.\n45, State-gov,191001, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,40, United-States, >50K.\n18, Self-emp-not-inc,68073, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n33, Private,233149, 12th,8, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, Private,204596, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n37, Private,109996, 9th,5, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, Hong, <=50K.\n29, Private,251170, HS-grad,9, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n22, Private,140001, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n61, State-gov,347445, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n27, Self-emp-not-inc,229126, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,30, United-States, <=50K.\n47, Private,235431, Preschool,1, Never-married, Sales, Unmarried, Black, Female,0,0,40, Haiti, <=50K.\n56, Private,209280, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,16, United-States, <=50K.\n26, Private,172013, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n30, Self-emp-inc,133876, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n60, Private,152727, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K.\n30, Private,139838, 10th,6, Separated, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n28, Private,153885, Some-college,10, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,45, United-States, <=50K.\n64, Self-emp-not-inc,21174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K.\n32, Private,101266, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, ?, <=50K.\n32, Private,99548, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n31, Local-gov,220669, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,6849,0,40, United-States, <=50K.\n36, Private,91716, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n32, Self-emp-not-inc,112115, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, >50K.\n49, Private,220978, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,44, United-States, <=50K.\n40, Private,121012, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,242804, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,192654, Bachelors,13, Widowed, Exec-managerial, Unmarried, White, Male,0,0,50, United-States, <=50K.\n45, Private,111706, 1st-4th,2, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K.\n41, Private,174196, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K.\n54, Private,312500, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,39623, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n36, Private,355468, 10th,6, Separated, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, State-gov,62726, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n58, Federal-gov,75867, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n60, ?,76449, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,111567, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K.\n58, Private,112945, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,191389, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Private,208584, Assoc-acdm,12, Separated, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n49, Private,99340, 5th-6th,3, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,40, Dominican-Republic, <=50K.\n54, Self-emp-not-inc,308087, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n64, Private,166843, HS-grad,9, Widowed, Other-service, Other-relative, White, Male,0,0,28, United-States, <=50K.\n62, ?,122433, 10th,6, Divorced, ?, Unmarried, White, Male,0,0,35, United-States, <=50K.\n31, Private,103573, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K.\n28, Private,264735, Masters,14, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,50, India, <=50K.\n58, Self-emp-not-inc,281792, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n52, Private,184081, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, Jamaica, <=50K.\n22, Private,381741, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Private,98630, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,161631, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,152591, Some-college,10, Divorced, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n69, Self-emp-not-inc,150080, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,278141, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K.\n48, Self-emp-not-inc,229328, 12th,8, Widowed, Sales, Unmarried, Asian-Pac-Islander, Female,0,0,40, South, <=50K.\n26, Private,278916, Some-college,10, Separated, Handlers-cleaners, Own-child, Black, Male,0,0,20, United-States, <=50K.\n43, Federal-gov,421871, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Male,6849,0,50, United-States, <=50K.\n35, Private,164193, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-not-inc,189265, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,5, United-States, <=50K.\n52, Private,384959, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,36, United-States, >50K.\n62, Private,67320, HS-grad,9, Widowed, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n50, Private,174655, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,40, United-States, >50K.\n30, Local-gov,327203, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,51148, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n19, Private,287380, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,27, United-States, <=50K.\n58, Private,131608, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n41, Private,122857, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female,0,0,40, ?, <=50K.\n28, Private,259609, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K.\n33, Private,104509, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n51, Private,203435, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,148429, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n26, Private,106950, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n19, Private,87402, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,265638, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,60, United-States, <=50K.\n27, Private,430710, HS-grad,9, Separated, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n50, Federal-gov,193116, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,94880, Some-college,10, Married-spouse-absent, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n67, Private,186427, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n53, Private,348287, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n58, Private,77498, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n47, Private,199058, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,156464, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, Germany, <=50K.\n40, Private,202508, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,48, ?, >50K.\n45, Private,131309, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,32, United-States, <=50K.\n41, Private,99679, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,136309, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n27, Private,294451, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,104719, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n72, Self-emp-not-inc,207889, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Private,215890, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,341239, HS-grad,9, Never-married, Transport-moving, Own-child, Black, Male,0,0,40, United-States, <=50K.\n66, Self-emp-not-inc,58326, 11th,7, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, >50K.\n35, Private,176544, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,1741,50, United-States, <=50K.\n37, Private,216149, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n65, Private,274637, 9th,5, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,16, United-States, <=50K.\n23, Private,163870, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, ?, <=50K.\n52, ?,287575, HS-grad,9, Separated, ?, Unmarried, White, Male,0,0,40, United-States, <=50K.\n35, Private,268292, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K.\n43, Private,343061, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Cuba, <=50K.\n46, Local-gov,481258, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n17, Private,181129, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K.\n18, ?,153302, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,235891, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n33, Self-emp-not-inc,41210, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, <=50K.\n31, Local-gov,152109, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, United-States, <=50K.\n28, Private,114072, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,83066, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,30, United-States, <=50K.\n18, Private,110230, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,5, United-States, <=50K.\n33, Self-emp-inc,137421, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,45, South, <=50K.\n46, Self-emp-inc,222829, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n50, State-gov,89652, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,0,60, United-States, <=50K.\n43, Self-emp-inc,375807, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,60, United-States, >50K.\n29, Private,184224, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n18, Private,54639, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-inc,77764, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n28, Private,61523, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n60, Self-emp-not-inc,54614, Assoc-voc,11, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n34, Private,188246, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, ?, <=50K.\n25, Private,267594, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n19, Private,140499, HS-grad,9, Never-married, Protective-serv, Other-relative, White, Male,0,0,40, United-States, <=50K.\n35, Private,73471, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Federal-gov,33487, Some-college,10, Divorced, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Female,0,0,38, United-States, <=50K.\n23, ?,201179, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n69, Self-emp-not-inc,165814, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n44, State-gov,46221, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K.\n49, Self-emp-inc,172246, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,40, United-States, >50K.\n31, Federal-gov,148207, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,53, United-States, <=50K.\n36, Private,389725, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,40, Germany, >50K.\n33, Private,343519, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n35, Private,67317, Assoc-acdm,12, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n53, Self-emp-not-inc,257728, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n32, Private,264554, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,224567, 11th,7, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n40, Private,24038, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n35, Private,210945, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n52, Self-emp-not-inc,123727, HS-grad,9, Separated, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n32, ?,78374, Bachelors,13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,1, United-States, <=50K.\n18, Private,138266, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,25, United-States, <=50K.\n58, Private,147098, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K.\n26, Private,211695, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-not-inc,196480, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n39, Private,373699, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Private,189680, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,342458, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,161155, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,48, United-States, <=50K.\n48, Local-gov,116601, Masters,14, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,50, Nicaragua, <=50K.\n67, Self-emp-inc,127605, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2174,40, United-States, >50K.\n22, Self-emp-not-inc,47541, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K.\n62, Private,134779, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,4650,0,40, United-States, <=50K.\n42, Self-emp-not-inc,177937, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n53, Private,114758, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K.\n64, Local-gov,287277, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,173113, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,169785, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, >50K.\n64, Self-emp-not-inc,280508, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Private,360077, 11th,7, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, >50K.\n47, Private,165229, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,282753, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,308812, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n64, Private,132519, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female,0,0,40, United-States, <=50K.\n38, Private,185053, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, >50K.\n42, Local-gov,261899, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n46, Private,119939, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,276165, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,361280, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n33, Private,195770, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Local-gov,289804, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K.\n21, Private,247115, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,60, United-States, <=50K.\n48, Federal-gov,50459, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n22, Private,260617, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K.\n20, Private,155066, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,60, United-States, <=50K.\n80, Private,227210, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,40, United-States, >50K.\n47, Local-gov,47270, Assoc-acdm,12, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n35, Private,111128, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,65, United-States, >50K.\n37, Private,119929, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n73, Private,157248, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n45, Private,174386, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,30, United-States, <=50K.\n34, Private,21755, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male,0,0,63, United-States, <=50K.\n35, Private,261646, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,590204, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,40, United-States, >50K.\n36, Private,679853, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, Dominican-Republic, <=50K.\n40, Private,144928, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7298,0,40, United-States, >50K.\n26, ?,88513, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Private,110663, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n52, Self-emp-not-inc,182187, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, Haiti, >50K.\n45, Private,160703, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n39, Private,279323, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,131425, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,180288, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1977,60, United-States, >50K.\n43, Self-emp-inc,123490, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,421474, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K.\n38, Private,100079, Doctorate,16, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,27828,0,60, China, >50K.\n30, Private,95639, 11th,7, Never-married, Handlers-cleaners, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n30, Private,169002, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n59, Self-emp-not-inc,49893, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,24, United-States, <=50K.\n30, Federal-gov,234994, Some-college,10, Divorced, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n43, Self-emp-inc,137232, Bachelors,13, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,42, United-States, <=50K.\n49, Self-emp-not-inc,27067, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n40, Private,193385, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, China, <=50K.\n34, Private,181372, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,23, United-States, <=50K.\n47, Private,189143, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n57, Self-emp-not-inc,115422, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,40, United-States, <=50K.\n64, Self-emp-not-inc,163510, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,50, United-States, >50K.\n35, Private,241998, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n39, Private,106838, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,4386,0,45, United-States, >50K.\n90, ?,50746, 10th,6, Divorced, ?, Not-in-family, White, Female,0,0,7, United-States, <=50K.\n30, Local-gov,325658, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n71, Private,244688, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,6514,0,40, United-States, >50K.\n29, Private,244721, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,170721, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n39, Private,105803, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,152810, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n50, Private,138944, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n50, Private,392668, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,40, United-States, <=50K.\n28, Private,192257, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Japan, <=50K.\n79, ?,23275, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K.\n70, Self-emp-inc,46577, Bachelors,13, Widowed, Farming-fishing, Unmarried, White, Female,0,0,6, United-States, <=50K.\n44, Private,174325, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n41, Local-gov,307767, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,192698, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,443809, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K.\n18, Private,218100, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n37, Private,516701, Masters,14, Never-married, Exec-managerial, Not-in-family, Black, Male,0,1564,50, ?, >50K.\n20, Private,123173, Some-college,10, Never-married, Sales, Own-child, Black, Female,0,0,15, United-States, <=50K.\n33, Private,241697, Some-college,10, Married-spouse-absent, Sales, Unmarried, Amer-Indian-Eskimo, Male,0,1602,40, United-States, <=50K.\n53, Self-emp-inc,233149, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n56, Private,357939, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,73928, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,20, United-States, <=50K.\n54, State-gov,88528, Masters,14, Never-married, Prof-specialty, Unmarried, White, Female,0,0,37, United-States, <=50K.\n40, Private,245073, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n45, Private,148824, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n27, Private,106276, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n48, Private,185039, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,210310, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n27, Private,150767, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,48, United-States, <=50K.\n72, ?,31327, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, >50K.\n27, Private,30237, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,45, United-States, <=50K.\n22, Private,264765, Some-college,10, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K.\n29, Private,148069, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, ?,41493, Bachelors,13, Divorced, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,168539, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,84, United-States, <=50K.\n54, ?,108233, Assoc-acdm,12, Separated, ?, Not-in-family, Black, Female,0,0,20, United-States, <=50K.\n25, State-gov,66692, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,122747, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n36, Self-emp-inc,176289, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n57, Private,238017, HS-grad,9, Widowed, Tech-support, Not-in-family, Black, Female,0,0,54, United-States, <=50K.\n28, Private,41099, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,190151, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,42, United-States, <=50K.\n58, Private,109159, HS-grad,9, Widowed, Tech-support, Unmarried, White, Female,0,0,38, United-States, <=50K.\n37, Local-gov,176949, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,55, United-States, >50K.\n61, Private,293899, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n48, Private,168262, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, >50K.\n64, Private,208862, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,15, United-States, <=50K.\n50, Private,69477, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n34, Private,443546, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, Germany, <=50K.\n21, ?,202989, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,80, United-States, <=50K.\n59, Self-emp-not-inc,49996, HS-grad,9, Widowed, Other-service, Not-in-family, Black, Female,0,0,20, United-States, <=50K.\n75, State-gov,220618, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,10, United-States, <=50K.\n30, Private,127875, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n26, Private,217517, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,2885,0,40, United-States, <=50K.\n20, Private,162151, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K.\n53, Federal-gov,314871, Some-college,10, Separated, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n48, Local-gov,193960, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K.\n33, Private,198103, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, State-gov,106466, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n51, Private,122109, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K.\n54, Private,254152, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,249449, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n47, Private,184169, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n34, Self-emp-inc,156192, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n31, Self-emp-not-inc,175509, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n42, Private,297266, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,90, United-States, >50K.\n24, Private,188073, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n18, ?,221312, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n79, Private,121552, 7th-8th,4, Widowed, Other-service, Unmarried, Black, Male,0,0,5, United-States, <=50K.\n38, Private,177134, HS-grad,9, Married-civ-spouse, Sales, Wife, Black, Female,0,0,40, United-States, <=50K.\n67, Private,127921, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,40, United-States, >50K.\n25, Private,210794, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n47, Private,149366, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Peru, <=50K.\n25, Private,214303, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, ?, <=50K.\n24, ?,205940, 9th,5, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n24, ?,43535, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,30, United-States, <=50K.\n47, Private,158924, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n46, Private,270437, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Private,266505, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,5013,0,38, United-States, <=50K.\n32, Private,37070, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Japan, <=50K.\n26, Federal-gov,56419, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,20, South, <=50K.\n52, Private,389270, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n61, Private,205266, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Federal-gov,104575, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,99220, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,178313, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n41, Local-gov,103614, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n47, Private,114882, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,186977, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Columbia, <=50K.\n22, Private,208893, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n57, Self-emp-inc,84231, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K.\n20, Private,129240, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n64, Private,113061, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,243409, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n18, ?,28132, 12th,8, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n40, Private,77975, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, ?,241580, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,55, United-States, <=50K.\n40, Private,165599, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K.\n31, Private,85374, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n32, Self-emp-not-inc,45604, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n42, Private,109501, 5th-6th,3, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K.\n22, ?,289405, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n25, Private,75759, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,3325,0,40, United-States, <=50K.\n27, Private,144808, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n21, ?,231511, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n47, Private,155890, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n56, Self-emp-not-inc,108496, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,101562, Some-college,10, Divorced, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n29, Private,116372, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, >50K.\n17, Private,58037, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,339025, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,1579,40, Vietnam, <=50K.\n31, Private,117659, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,372898, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n24, Private,199426, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K.\n25, Private,36023, HS-grad,9, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n64, ?,186535, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,3103,0,3, United-States, <=50K.\n44, Private,57600, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, <=50K.\n48, Private,369522, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n35, Private,28572, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,215323, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,81846, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K.\n68, Private,535762, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1844,10, United-States, <=50K.\n59, Private,239405, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,35, Jamaica, <=50K.\n43, Local-gov,43998, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K.\n28, Private,408417, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K.\n50, Self-emp-not-inc,43705, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n45, Private,176841, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, El-Salvador, <=50K.\n17, Private,120676, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,16, United-States, <=50K.\n44, Local-gov,207685, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,33, United-States, >50K.\n26, Private,157708, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,126349, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,49, United-States, <=50K.\n40, Private,277647, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, United-States, >50K.\n45, Private,174426, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, <=50K.\n43, Self-emp-not-inc,37869, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,40, United-States, >50K.\n28, Private,150025, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Peru, <=50K.\n54, Self-emp-not-inc,155496, Some-college,10, Never-married, Other-service, Unmarried, White, Female,2176,0,40, United-States, <=50K.\n43, Private,174748, Bachelors,13, Divorced, Exec-managerial, Unmarried, Black, Female,7430,0,45, United-States, >50K.\n40, Self-emp-inc,140915, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Other, Male,0,0,40, France, >50K.\n19, Private,187161, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,18, United-States, <=50K.\n24, Private,181820, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n20, Private,438321, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n55, Private,342121, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,54, United-States, <=50K.\n39, Private,135162, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n22, Private,289448, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,2205,30, Philippines, <=50K.\n44, Self-emp-not-inc,157237, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n30, Private,184542, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n74, Private,70234, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,26, United-States, <=50K.\n30, Private,170412, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,171184, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, Dominican-Republic, <=50K.\n56, ?,141076, HS-grad,9, Divorced, ?, Not-in-family, Black, Female,3674,0,40, United-States, <=50K.\n59, Private,168145, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,172594, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n21, Private,133582, 5th-6th,3, Never-married, Farming-fishing, Not-in-family, White, Male,2176,0,36, Mexico, <=50K.\n51, Private,214840, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, >50K.\n20, ?,301408, Some-college,10, Never-married, ?, Own-child, White, Female,0,1602,30, United-States, <=50K.\n33, Private,97723, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,40, United-States, <=50K.\n51, Self-emp-not-inc,318351, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, Canada, >50K.\n20, Private,69911, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n59, Private,200316, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Local-gov,265426, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,30, United-States, <=50K.\n39, Private,66687, Some-college,10, Separated, Craft-repair, Unmarried, White, Male,0,0,45, United-States, <=50K.\n31, Private,107417, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, ?,140782, HS-grad,9, Separated, ?, Own-child, White, Female,0,0,36, United-States, <=50K.\n23, ?,212210, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n57, Private,144012, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n67, ?,40021, Doctorate,16, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,228493, 1st-4th,2, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,65, Mexico, <=50K.\n40, State-gov,114714, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K.\n17, Private,188758, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n34, Private,176862, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Local-gov,107793, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n47, Self-emp-not-inc,333052, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,5, United-States, <=50K.\n49, Private,175958, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,46, United-States, >50K.\n24, Private,125012, Bachelors,13, Married-spouse-absent, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K.\n28, Private,135296, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Local-gov,31171, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,1590,40, United-States, <=50K.\n31, Private,103860, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n40, Private,90582, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,216292, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n54, Local-gov,188588, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,2001,35, United-States, <=50K.\n27, ?,173178, Some-college,10, Never-married, ?, Not-in-family, Black, Male,0,0,36, United-States, <=50K.\n50, Self-emp-inc,193720, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,48, United-States, <=50K.\n35, Private,218542, 9th,5, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K.\n44, Private,138845, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n46, State-gov,86837, Some-college,10, Married-spouse-absent, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male,0,0,50, Philippines, <=50K.\n22, State-gov,125010, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K.\n38, Private,50149, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n46, Private,241350, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,8614,0,50, United-States, >50K.\n81, Private,39895, 7th-8th,4, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,2, United-States, <=50K.\n36, Self-emp-not-inc,258289, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K.\n28, Self-emp-not-inc,183151, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n58, ?,228614, 7th-8th,4, Married-civ-spouse, ?, Husband, Black, Male,0,0,35, United-States, <=50K.\n51, Private,192236, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,3464,0,48, United-States, <=50K.\n37, ?,161664, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,0,60, United-States, <=50K.\n45, Private,105381, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,235786, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Private,118947, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, >50K.\n35, Private,168817, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n34, Private,24361, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,321223, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n66, Private,146810, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,24, United-States, <=50K.\n30, Local-gov,94041, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,3325,0,35, United-States, <=50K.\n40, Self-emp-not-inc,814850, 9th,5, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K.\n43, Private,331649, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n43, Private,209894, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,38, United-States, <=50K.\n44, Private,229954, Assoc-acdm,12, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n48, Private,287547, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n42, Private,184018, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n25, Private,332409, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n33, Local-gov,113364, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n28, State-gov,134813, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,65, United-States, >50K.\n24, Private,273049, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n29, Private,334277, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n51, State-gov,196395, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,60, United-States, >50K.\n47, Private,138069, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,358259, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n36, Private,362067, Assoc-voc,11, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n54, Private,209947, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,42, United-States, <=50K.\n23, Private,122244, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K.\n36, Private,116546, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,213934, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,42, United-States, <=50K.\n27, Local-gov,24988, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,1564,72, United-States, >50K.\n53, Private,157229, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,40, India, <=50K.\n30, Private,162442, Some-college,10, Never-married, Craft-repair, Own-child, White, Female,0,0,40, United-States, <=50K.\n67, Federal-gov,231604, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K.\n24, Private,187031, Masters,14, Never-married, Sales, Unmarried, Black, Female,0,0,38, United-States, <=50K.\n33, Private,172714, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Self-emp-not-inc,198286, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Self-emp-not-inc,220001, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Private,262656, HS-grad,9, Never-married, Other-service, Unmarried, Black, Male,0,0,32, United-States, <=50K.\n27, Private,203776, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,193815, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n57, Local-gov,173242, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n43, Private,108126, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,1762,24, United-States, <=50K.\n62, Private,199021, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,54, United-States, <=50K.\n53, Private,92968, Assoc-acdm,12, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Private,173682, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Local-gov,277533, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,90896, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n57, Self-emp-inc,212600, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, United-States, >50K.\n52, Private,261671, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K.\n66, Private,86321, HS-grad,9, Widowed, Transport-moving, Not-in-family, White, Male,0,0,22, United-States, <=50K.\n37, Self-emp-not-inc,119992, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K.\n33, Private,427812, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Puerto-Rico, <=50K.\n34, Private,55849, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K.\n23, Private,271354, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1902,50, United-States, >50K.\n36, Private,131239, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n50, State-gov,139157, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K.\n39, State-gov,305541, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,55, United-States, <=50K.\n50, Private,151159, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, United-States, <=50K.\n23, Private,84726, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Wife, White, Female,0,0,45, Germany, <=50K.\n47, ?,175530, 5th-6th,3, Separated, ?, Own-child, White, Female,0,0,56, Mexico, <=50K.\n39, Local-gov,364782, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,137304, Bachelors,13, Married-civ-spouse, Tech-support, Wife, Black, Female,0,0,40, United-States, >50K.\n23, Private,197613, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Self-emp-inc,171615, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n57, Self-emp-not-inc,105824, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K.\n47, Local-gov,250745, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,32, United-States, <=50K.\n28, Private,352451, 7th-8th,4, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n17, Private,123947, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K.\n43, Private,178983, Masters,14, Separated, Sales, Unmarried, White, Female,6497,0,50, United-States, <=50K.\n47, Private,101299, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n53, Self-emp-inc,124993, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n26, Private,178478, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n46, Private,67001, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,97295, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n48, Local-gov,169515, Bachelors,13, Divorced, Protective-serv, Not-in-family, Black, Female,0,0,43, United-States, >50K.\n49, Private,121253, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,1564,40, United-States, >50K.\n52, Federal-gov,35546, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,111635, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,207419, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n31, Private,143083, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n42, Self-emp-not-inc,248094, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n41, Private,170685, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,46, United-States, <=50K.\n46, Private,116143, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,223426, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,65, Canada, >50K.\n23, Private,370548, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,27, United-States, <=50K.\n43, Private,245525, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,38, United-States, <=50K.\n41, Private,408229, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,15, United-States, <=50K.\n29, Local-gov,181434, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K.\n27, Private,213225, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,7298,0,45, England, >50K.\n24, Private,199915, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n44, Local-gov,143104, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,38, United-States, >50K.\n31, Private,874728, HS-grad,9, Never-married, Adm-clerical, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n43, Private,27661, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Local-gov,216116, HS-grad,9, Divorced, Protective-serv, Unmarried, Black, Female,0,0,40, United-States, >50K.\n43, Private,193882, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n50, Self-emp-not-inc,98180, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,99999,0,45, United-States, >50K.\n70, Self-emp-not-inc,92353, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n78, Self-emp-not-inc,184762, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,3471,0,50, United-States, <=50K.\n21, ?,148294, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,128777, Some-college,10, Never-married, Sales, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n73, Private,108098, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n47, Private,233511, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Private,223792, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,43904, HS-grad,9, Divorced, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n45, Private,239864, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Private,159075, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,103474, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n21, Private,90896, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n46, Private,145290, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,155818, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n28, Self-emp-not-inc,35864, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Other, Male,0,0,70, Iran, >50K.\n18, Private,394954, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n50, State-gov,34637, 9th,5, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2002,40, United-States, <=50K.\n34, Private,38223, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,352105, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n53, Private,291096, 1st-4th,2, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n63, Self-emp-not-inc,144391, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K.\n62, Private,44013, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,134890, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,497525, 10th,6, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n28, Private,195520, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K.\n44, Self-emp-not-inc,35166, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,75, United-States, <=50K.\n26, Private,180514, Bachelors,13, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n32, Private,262153, 11th,7, Married-spouse-absent, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Local-gov,91039, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n70, ?,30140, 9th,5, Never-married, ?, Unmarried, White, Male,0,0,40, United-States, <=50K.\n27, Private,125791, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Female,0,0,15, United-States, <=50K.\n31, Private,337505, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K.\n61, Private,258775, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,4386,0,40, United-States, >50K.\n32, Private,153152, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,2051,38, United-States, <=50K.\n21, ?,120998, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Self-emp-not-inc,434102, 11th,7, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,3, United-States, <=50K.\n39, Private,342768, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,160786, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,46, United-States, <=50K.\n52, Private,279440, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K.\n26, Self-emp-not-inc,67240, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n30, Private,196963, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Female,0,0,15, United-States, <=50K.\n70, Private,115239, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,30, United-States, <=50K.\n29, Private,133937, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n32, Private,31714, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,4865,0,40, United-States, <=50K.\n32, Private,347623, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Private,174848, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n75, Self-emp-not-inc,106873, 11th,7, Widowed, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,49687, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,1980,40, United-States, <=50K.\n39, Private,256294, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n66, State-gov,33155, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n46, Private,131939, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n49, Local-gov,95256, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,42, United-States, >50K.\n32, Private,198901, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,177287, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n44, Private,144925, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,3325,0,40, United-States, <=50K.\n42, Private,188243, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, >50K.\n34, Self-emp-not-inc,198068, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,116960, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,172496, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Poland, <=50K.\n21, ?,399449, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n33, Private,251990, HS-grad,9, Separated, Adm-clerical, Not-in-family, Other, Male,0,0,37, United-States, <=50K.\n54, Federal-gov,28683, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,4386,0,41, United-States, >50K.\n36, Private,109133, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n36, Private,24504, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Private,201495, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,50, United-States, >50K.\n49, Private,187634, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, >50K.\n40, Private,77391, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,36601, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, >50K.\n31, Self-emp-not-inc,197193, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,27, United-States, <=50K.\n81, Self-emp-not-inc,184762, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,25, Greece, <=50K.\n40, Private,200671, HS-grad,9, Divorced, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n47, Private,186539, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,10, United-States, <=50K.\n39, Private,199816, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n42, Private,171351, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,119793, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, >50K.\n40, Local-gov,38876, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K.\n28, Private,145242, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,4386,0,20, United-States, >50K.\n19, ?,292774, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, State-gov,217251, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K.\n35, Private,195253, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n35, ?,139854, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K.\n52, State-gov,145072, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n17, Private,108085, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K.\n23, Private,72055, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n76, Private,82628, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K.\n41, Self-emp-not-inc,49156, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n46, Private,187666, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,55, United-States, <=50K.\n49, Self-emp-not-inc,225456, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n60, Federal-gov,286253, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n65, ?,168548, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Private,190384, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K.\n46, Federal-gov,362835, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Germany, >50K.\n50, Private,243322, HS-grad,9, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n39, Private,49105, Assoc-voc,11, Separated, Adm-clerical, Own-child, White, Female,594,0,40, United-States, <=50K.\n20, Private,72520, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n38, Private,200352, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n56, Private,146660, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,10, United-States, <=50K.\n30, Self-emp-not-inc,247328, Assoc-voc,11, Separated, Sales, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n41, Private,304605, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, >50K.\n29, Private,309778, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,248476, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K.\n28, Private,129624, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, Cambodia, <=50K.\n30, Private,97723, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K.\n19, Private,143404, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K.\n56, Private,127264, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,34, United-States, <=50K.\n28, Private,179191, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n23, Private,230824, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n34, Private,410615, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n43, Private,224998, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,1977,40, United-States, >50K.\n60, Self-emp-not-inc,54553, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K.\n43, Local-gov,225165, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n60, Self-emp-inc,75257, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K.\n42, Private,33155, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,85, United-States, <=50K.\n32, Local-gov,450141, Some-college,10, Divorced, Protective-serv, Not-in-family, White, Male,0,1408,40, United-States, <=50K.\n31, Private,441949, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, Mexico, >50K.\n25, Private,131341, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,36, Cuba, <=50K.\n25, Private,227548, 12th,8, Married-civ-spouse, Other-service, Husband, Black, Male,3103,0,40, United-States, <=50K.\n41, Self-emp-inc,38876, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1977,50, United-States, >50K.\n26, Private,143756, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Local-gov,308275, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,7688,0,65, United-States, >50K.\n35, Private,173586, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n21, Private,196074, 9th,5, Never-married, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K.\n39, Federal-gov,178877, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,285580, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,45, United-States, <=50K.\n66, Self-emp-not-inc,219220, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,2290,0,40, Germany, <=50K.\n32, Federal-gov,228696, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n39, Private,185405, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,240124, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n26, ?,96130, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,40, England, <=50K.\n31, Private,329172, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n27, Private,147280, 11th,7, Never-married, Other-service, Own-child, Other, Male,0,0,40, United-States, <=50K.\n34, Private,197252, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n43, State-gov,118544, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n56, Private,183169, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n34, Private,205810, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female,0,1672,40, United-States, <=50K.\n23, Private,132556, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,438429, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,104293, Assoc-acdm,12, Never-married, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n37, Private,506830, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n42, Private,56072, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n51, Local-gov,164300, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K.\n34, Private,274577, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n60, Self-emp-not-inc,36568, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n41, Private,223548, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n27, Local-gov,478277, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,40, United-States, <=50K.\n46, Private,254672, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,2354,0,40, United-States, <=50K.\n22, Private,171538, HS-grad,9, Divorced, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n17, ?,220302, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n18, Private,87135, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K.\n46, Self-emp-not-inc,138626, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n40, Private,179069, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n24, Private,88824, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Self-emp-not-inc,159623, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K.\n67, ?,350525, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, >50K.\n53, Self-emp-not-inc,276369, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K.\n25, Private,96862, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,65, United-States, <=50K.\n18, Private,245486, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n64, Local-gov,209899, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,35, United-States, <=50K.\n45, Private,306122, Bachelors,13, Never-married, Other-service, Not-in-family, Black, Female,0,0,44, United-States, >50K.\n32, Private,240763, 11th,7, Divorced, Transport-moving, Own-child, Black, Male,0,0,45, United-States, <=50K.\n30, Private,323069, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n35, Private,179579, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K.\n46, ?,162034, Some-college,10, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, Private,291181, HS-grad,9, Never-married, Sales, Other-relative, White, Female,0,0,28, Mexico, <=50K.\n31, Private,356823, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,10520,0,40, United-States, >50K.\n39, Private,312271, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n33, Private,182714, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,184569, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,45, United-States, <=50K.\n55, Private,129762, HS-grad,9, Divorced, Other-service, Other-relative, White, Female,0,0,40, Scotland, <=50K.\n23, Private,216867, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-not-inc,155489, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K.\n42, Private,256179, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,48, United-States, >50K.\n65, Private,51063, 10th,6, Divorced, Other-service, Not-in-family, Black, Male,0,0,64, United-States, <=50K.\n37, State-gov,164898, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,202206, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, Puerto-Rico, <=50K.\n48, Private,115358, 7th-8th,4, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0,0,15, United-States, <=50K.\n43, Local-gov,343068, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,65, United-States, <=50K.\n44, Private,152908, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n58, Local-gov,217802, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,7688,0,45, United-States, >50K.\n70, Self-emp-not-inc,380498, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n28, Local-gov,257124, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n46, Local-gov,313635, Prof-school,15, Separated, Prof-specialty, Not-in-family, Black, Male,4650,0,40, United-States, <=50K.\n33, Private,168906, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,55, United-States, <=50K.\n35, Local-gov,99146, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K.\n18, Private,190325, 11th,7, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n29, Private,272715, 10th,6, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n29, Private,118598, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n59, Private,97213, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,39388, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,190916, 11th,7, Divorced, Sales, Other-relative, White, Female,0,0,25, United-States, <=50K.\n34, Private,61308, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n30, Private,27856, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n54, State-gov,151580, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n38, Private,248011, 11th,7, Divorced, Transport-moving, Unmarried, White, Male,0,0,55, United-States, <=50K.\n44, Private,188615, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n30, Private,62932, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,60, United-States, <=50K.\n28, Private,32510, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,15, United-States, <=50K.\n60, ?,155977, Some-college,10, Widowed, ?, Unmarried, Black, Female,0,0,54, United-States, <=50K.\n57, Federal-gov,250873, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,257942, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n43, Private,334141, 7th-8th,4, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n22, ?,144210, 11th,7, Married-civ-spouse, ?, Wife, White, Female,0,0,20, United-States, <=50K.\n34, Private,87535, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n46, Private,222011, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n44, Private,33895, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n23, Private,168997, Some-college,10, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n50, Local-gov,163576, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n72, Private,98035, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K.\n20, ?,41356, Assoc-voc,11, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,245361, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Private,109133, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, ?, <=50K.\n62, ?,111563, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,21, United-States, <=50K.\n75, Self-emp-not-inc,124256, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2149,35, United-States, <=50K.\n21, ?,227521, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n60, Self-emp-not-inc,197060, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n18, Private,332125, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,2176,0,25, United-States, <=50K.\n19, Private,348867, HS-grad,9, Never-married, Sales, Other-relative, Black, Female,0,0,15, United-States, <=50K.\n31, Self-emp-inc,118584, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,110622, Bachelors,13, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female,0,0,8, South, <=50K.\n24, Private,43535, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n62, Private,84784, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,1741,40, United-States, <=50K.\n25, Private,266600, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,3137,0,40, United-States, <=50K.\n28, Private,106935, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n56, Private,265518, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n38, Private,289653, Assoc-voc,11, Widowed, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,340917, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1848,60, ?, >50K.\n41, Private,56651, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,374833, 1st-4th,2, Married-spouse-absent, Farming-fishing, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n38, Private,210198, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K.\n44, Private,240448, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,20, United-States, <=50K.\n20, Private,206869, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n72, Self-emp-inc,149689, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,48, United-States, >50K.\n72, Private,75594, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2653,0,40, United-States, <=50K.\n37, Private,110331, Prof-school,15, Married-civ-spouse, Other-service, Wife, White, Female,0,0,60, United-States, >50K.\n54, Private,353787, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,142909, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,54102, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n36, Self-emp-inc,339116, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, ?, <=50K.\n60, ?,50783, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,415500, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n41, Private,79586, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,60, China, >50K.\n52, Private,142757, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,56, United-States, >50K.\n37, Private,91716, HS-grad,9, Divorced, Sales, Unmarried, White, Male,0,0,75, United-States, <=50K.\n22, Private,376393, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K.\n59, Private,129762, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, Scotland, <=50K.\n34, Private,293017, Some-college,10, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,54583, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,30, United-States, <=50K.\n21, Private,54472, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, ?,129767, Assoc-acdm,12, Never-married, ?, Own-child, White, Female,0,0,5, United-States, <=50K.\n40, Private,109217, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Mexico, <=50K.\n32, Private,189265, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,221680, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,200947, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,35, Italy, <=50K.\n21, Private,402136, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,20, United-States, <=50K.\n30, Private,119411, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, ?, <=50K.\n47, Self-emp-not-inc,136258, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n53, Private,35459, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, >50K.\n31, Private,157640, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,7688,0,55, United-States, >50K.\n39, Private,181384, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n50, Private,81253, HS-grad,9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,30, United-States, <=50K.\n21, Private,152668, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n17, ?,387063, 10th,6, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n73, ?,132256, Bachelors,13, Widowed, ?, Unmarried, White, Female,0,0,7, United-States, <=50K.\n39, Private,106964, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,1977,55, United-States, >50K.\n21, ?,214238, HS-grad,9, Married-spouse-absent, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n20, Private,218068, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,23, United-States, <=50K.\n33, Private,162572, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n74, Self-emp-not-inc,160009, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, >50K.\n25, Private,164488, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n51, ?,209794, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,3, United-States, >50K.\n31, Private,119033, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K.\n27, Private,311446, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,60, Germany, <=50K.\n31, Private,128065, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,55, United-States, >50K.\n48, Private,101016, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n73, Private,33493, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,3, United-States, <=50K.\n34, Private,130078, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,7688,0,32, ?, >50K.\n30, Private,284826, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n53, Self-emp-not-inc,169112, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Hungary, >50K.\n37, Federal-gov,362006, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n19, Private,124906, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1719,25, United-States, <=50K.\n53, Private,229247, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,5013,0,45, United-States, <=50K.\n59, Self-emp-inc,170993, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,13550,0,40, United-States, >50K.\n39, Private,157641, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n23, Private,224632, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,38, United-States, <=50K.\n26, Private,159732, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,2205,43, United-States, <=50K.\n56, Self-emp-not-inc,221801, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n90, Private,347074, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1944,12, United-States, <=50K.\n35, Private,143059, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,0,1902,28, United-States, >50K.\n23, Private,37072, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,137815, 9th,5, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Federal-gov,594194, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K.\n41, Private,284716, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,15, United-States, <=50K.\n39, Private,202662, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n56, Local-gov,191754, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n31, Private,175985, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n69, Private,108196, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, ?, <=50K.\n37, Private,51198, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n26, Self-emp-inc,384276, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n46, Self-emp-not-inc,368355, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n20, Private,221661, 10th,6, Never-married, Sales, Not-in-family, White, Female,0,0,30, Mexico, <=50K.\n51, Private,108435, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n63, ?,176827, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K.\n42, Private,209547, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,40, United-States, >50K.\n29, Private,197565, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,1902,35, United-States, >50K.\n62, Private,180418, 12th,8, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,45880, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Local-gov,203953, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Puerto-Rico, >50K.\n64, Self-emp-not-inc,178748, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n28, Private,203171, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Male,0,0,55, United-States, <=50K.\n71, Private,132057, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Black, Male,9386,0,50, United-States, >50K.\n33, Local-gov,40142, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, <=50K.\n36, Private,224541, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n67, Self-emp-not-inc,221252, Masters,14, Divorced, Sales, Not-in-family, Other, Male,0,0,40, United-States, <=50K.\n26, Private,133766, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K.\n41, Private,244945, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K.\n35, Private,171393, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n63, Self-emp-not-inc,326903, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, <=50K.\n27, Private,91257, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n41, Private,118001, 11th,7, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n30, Private,168906, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,44, United-States, <=50K.\n27, Private,267912, 10th,6, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n55, Private,327406, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,65, United-States, >50K.\n25, Private,141876, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,185177, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,191807, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,114942, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,43, United-States, >50K.\n32, Self-emp-inc,204470, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,99, United-States, >50K.\n50, Private,195844, Doctorate,16, Never-married, Exec-managerial, Not-in-family, White, Male,13550,0,50, United-States, >50K.\n39, Private,184659, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,224466, Some-college,10, Divorced, Craft-repair, Unmarried, Black, Male,0,0,24, United-States, <=50K.\n46, Local-gov,149551, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,5013,0,50, United-States, <=50K.\n53, Private,113522, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n68, Private,116993, Prof-school,15, Widowed, Prof-specialty, Unmarried, White, Male,0,0,60, United-States, >50K.\n45, Private,277434, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n42, Private,167948, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, South, >50K.\n67, Self-emp-inc,273239, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n74, Private,322789, 10th,6, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1411,40, United-States, <=50K.\n20, Local-gov,240517, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n52, Local-gov,230112, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n21, Local-gov,211385, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,25, United-States, <=50K.\n33, Private,109282, 7th-8th,4, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,367904, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, Mexico, <=50K.\n43, Private,34278, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K.\n67, Private,221281, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n39, Private,179671, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, State-gov,106721, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K.\n27, Private,152951, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n30, Private,315203, 7th-8th,4, Never-married, Other-service, Not-in-family, White, Female,0,0,30, Dominican-Republic, <=50K.\n44, Private,117728, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,192017, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n17, ?,186575, 11th,7, Never-married, ?, Own-child, White, Male,0,0,10, United-States, <=50K.\n42, Private,120837, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n39, Self-emp-not-inc,289430, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, Mexico, <=50K.\n44, Private,304175, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K.\n52, Local-gov,251841, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n17, Private,33611, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-not-inc,38122, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n23, Self-emp-not-inc,72143, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n52, Federal-gov,385183, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n58, Private,37345, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,290964, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,38, United-States, >50K.\n26, Private,52839, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-inc,134737, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,2829,0,70, United-States, <=50K.\n21, Private,55465, 10th,6, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n48, Private,377401, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K.\n21, Private,323497, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,36, United-States, <=50K.\n21, Private,334693, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n41, Self-emp-inc,163215, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, >50K.\n54, Private,178530, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n38, Private,368256, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n37, Private,191137, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,42, United-States, <=50K.\n64, Private,212513, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n56, Private,147653, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, <=50K.\n41, Private,173307, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,212760, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n53, State-gov,101238, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,306868, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,38, United-States, <=50K.\n60, Federal-gov,117509, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,151835, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K.\n70, Private,291998, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,20051,0,65, United-States, >50K.\n44, Private,136986, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n50, Private,201984, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Private,187060, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Canada, <=50K.\n46, Private,174928, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n29, Private,445480, 12th,8, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K.\n26, Private,265781, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n33, Local-gov,377107, Some-college,10, Separated, Other-service, Own-child, Black, Female,0,0,35, United-States, <=50K.\n42, Private,347890, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K.\n24, Private,199336, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,45, United-States, <=50K.\n17, Private,111593, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K.\n35, Private,258657, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n37, Federal-gov,39207, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, >50K.\n59, Private,159770, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,309463, 9th,5, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n38, Federal-gov,215419, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, Canada, <=50K.\n47, Self-emp-not-inc,177533, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,251239, 9th,5, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n40, Federal-gov,134307, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,1741,40, United-States, <=50K.\n21, Private,24598, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,140676, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n46, Private,143542, 11th,7, Widowed, Machine-op-inspct, Other-relative, White, Male,0,0,20, United-States, <=50K.\n65, ?,38189, HS-grad,9, Never-married, ?, Not-in-family, Black, Male,2346,0,40, United-States, <=50K.\n31, Private,158291, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,118503, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n50, Self-emp-not-inc,71609, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n46, Private,203653, Bachelors,13, Divorced, Sales, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n31, Private,181751, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,162358, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1408,40, United-States, <=50K.\n66, ?,231315, Assoc-acdm,12, Widowed, ?, Unmarried, White, Female,0,0,3, United-States, <=50K.\n59, Federal-gov,181940, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,213226, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,27828,0,40, United-States, >50K.\n27, Private,452963, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Private,268039, Some-college,10, Divorced, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n34, Private,141841, HS-grad,9, Separated, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n58, Self-emp-not-inc,194733, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n36, Private,214008, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n29, ?,147755, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,32, ?, <=50K.\n42, State-gov,273869, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K.\n24, Private,160261, Some-college,10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,64, ?, <=50K.\n25, Private,48029, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,163460, Some-college,10, Never-married, Sales, Own-child, Black, Male,0,0,20, United-States, <=50K.\n55, Private,112529, 5th-6th,3, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n55, Private,109075, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,5013,0,48, United-States, <=50K.\n31, Private,182699, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n33, Private,101867, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n65, Local-gov,382245, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n18, Private,200290, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K.\n23, State-gov,35805, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n22, Private,157541, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K.\n61, Local-gov,192085, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,15, United-States, <=50K.\n40, Private,33795, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,345459, Some-college,10, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n25, Private,105520, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n63, Local-gov,114752, Bachelors,13, Widowed, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,35, Philippines, <=50K.\n17, Private,98572, 11th,7, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n54, Self-emp-not-inc,83984, Masters,14, Divorced, Tech-support, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n45, Local-gov,317846, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Male,0,0,47, United-States, <=50K.\n28, State-gov,319027, HS-grad,9, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n24, Private,84319, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n70, Private,298470, Bachelors,13, Widowed, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n46, Private,278322, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n51, Local-gov,169182, 9th,5, Widowed, Other-service, Not-in-family, White, Female,0,0,45, Cuba, <=50K.\n58, Private,498267, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n71, ?,94314, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,1173,0,18, United-States, <=50K.\n26, Private,50053, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,37, United-States, <=50K.\n38, Private,107302, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K.\n40, Private,110009, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, ?, <=50K.\n45, Private,154174, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n43, Private,147110, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n55, Self-emp-not-inc,141122, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,162164, 11th,7, Widowed, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n26, ?,168095, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,134664, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3781,0,40, United-States, <=50K.\n66, Private,95644, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Private,198183, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n35, Private,538583, 11th,7, Separated, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n47, ?,308499, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,108837, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,48, United-States, >50K.\n55, Private,27227, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,1977,35, United-States, >50K.\n43, Federal-gov,117022, Assoc-voc,11, Divorced, Handlers-cleaners, Unmarried, Black, Male,0,1726,40, United-States, <=50K.\n66, Private,133884, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,602513, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n55, Self-emp-inc,114495, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,50, United-States, >50K.\n43, Private,171087, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K.\n33, Private,53373, 10th,6, Never-married, Other-service, Unmarried, White, Male,0,0,40, United-States, <=50K.\n18, Private,323810, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, ?, <=50K.\n50, Private,200325, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,322092, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,209739, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K.\n38, Private,589809, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n45, Self-emp-not-inc,105838, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n30, Private,119522, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n56, Private,258579, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n29, Private,123200, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,2415,40, Puerto-Rico, >50K.\n34, Private,275771, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K.\n58, Local-gov,33386, Some-college,10, Widowed, Adm-clerical, Other-relative, White, Female,0,0,25, United-States, <=50K.\n47, Local-gov,101016, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,40, United-States, >50K.\n62, Private,217434, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,187229, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,40, United-States, <=50K.\n49, Private,207772, HS-grad,9, Divorced, Tech-support, Unmarried, White, Male,0,0,40, United-States, <=50K.\n40, Federal-gov,179717, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,50, United-States, >50K.\n17, Private,260978, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,14, Philippines, <=50K.\n36, Private,280570, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n73, Private,179001, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,7, United-States, <=50K.\n26, State-gov,79089, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n63, Private,85420, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,10, United-States, <=50K.\n21, Local-gov,244074, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,22, United-States, <=50K.\n49, Self-emp-not-inc,259087, 11th,7, Widowed, Craft-repair, Unmarried, White, Female,0,0,40, ?, <=50K.\n20, Private,361138, HS-grad,9, Never-married, Sales, Unmarried, White, Male,0,0,45, United-States, <=50K.\n40, Private,309311, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,46756, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n55, Federal-gov,272339, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n39, Private,82521, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n40, Private,103759, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, Private,150675, 10th,6, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Private,180096, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K.\n49, Private,157991, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n26, Private,164170, Some-college,10, Never-married, Sales, Other-relative, Asian-Pac-Islander, Female,0,0,35, Philippines, <=50K.\n18, Private,186946, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,23, United-States, <=50K.\n57, Private,201159, Assoc-acdm,12, Widowed, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,61343, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K.\n21, Private,130534, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n43, Private,222635, 11th,7, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,80, United-States, <=50K.\n32, Private,169768, Bachelors,13, Separated, Tech-support, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n23, Private,72922, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n59, Private,66440, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Private,338836, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,36, United-States, >50K.\n47, Local-gov,122206, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, >50K.\n36, Private,145704, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, State-gov,88215, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K.\n24, Private,114873, HS-grad,9, Never-married, Protective-serv, Not-in-family, Other, Male,0,0,40, United-States, <=50K.\n22, Private,240063, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n67, Self-emp-not-inc,167015, Bachelors,13, Widowed, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n44, Local-gov,354230, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,124827, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, <=50K.\n24, Private,225739, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n68, ?,188102, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, >50K.\n46, Local-gov,349986, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,112763, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Female,2597,0,40, United-States, <=50K.\n66, Private,242589, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,34, United-States, <=50K.\n21, Private,366929, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,38, United-States, <=50K.\n25, Private,154210, 11th,7, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Male,0,0,35, India, <=50K.\n31, Private,274222, 1st-4th,2, Never-married, Transport-moving, Other-relative, Other, Male,0,0,40, El-Salvador, <=50K.\n51, State-gov,166459, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,36222, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n24, Private,240063, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n31, Federal-gov,158847, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n31, Private,203488, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,45, United-States, >50K.\n54, Private,96062, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Portugal, <=50K.\n49, Self-emp-not-inc,126077, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n59, Private,162580, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Female,0,0,35, United-States, <=50K.\n76, Self-emp-not-inc,413699, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,28, United-States, <=50K.\n32, Private,303692, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n47, Self-emp-not-inc,184682, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K.\n70, Self-emp-inc,217801, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K.\n41, Private,306496, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,110171, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K.\n36, State-gov,89625, HS-grad,9, Never-married, Protective-serv, Other-relative, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K.\n23, ?,234108, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Private,270147, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, >50K.\n32, Self-emp-not-inc,195891, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, Iran, <=50K.\n47, Private,131160, Bachelors,13, Divorced, Other-service, Not-in-family, White, Female,99999,0,40, United-States, >50K.\n56, Private,93211, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, Canada, <=50K.\n38, Private,181661, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,56, United-States, >50K.\n74, Private,146365, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K.\n19, Private,219671, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n74, Private,203523, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2653,0,12, United-States, <=50K.\n22, ?,268145, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,137421, HS-grad,9, Married-spouse-absent, Other-service, Other-relative, Other, Male,0,0,40, Mexico, <=50K.\n31, Private,302679, 12th,8, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K.\n24, Private,421474, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,98524, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, Canada, >50K.\n27, Private,282313, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n56, Private,157786, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,55, United-States, >50K.\n40, Private,83508, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,20, United-States, <=50K.\n67, State-gov,167687, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3456,0,35, United-States, <=50K.\n45, Self-emp-not-inc,187272, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,45, South, <=50K.\n36, Federal-gov,187089, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,167625, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K.\n61, Private,190955, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n50, Private,185846, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,40, United-States, >50K.\n43, Private,55764, Some-college,10, Never-married, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n69, Private,164110, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,10605,0,50, United-States, >50K.\n32, Private,117444, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n38, Self-emp-not-inc,164593, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, ?, <=50K.\n45, Private,22610, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, Private,303942, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, <=50K.\n51, Federal-gov,378126, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,1980,40, United-States, <=50K.\n38, Self-emp-inc,231491, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n36, Private,69481, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n42, Private,199018, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,255252, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Private,193871, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,38, United-States, <=50K.\n36, Private,23892, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, >50K.\n31, Private,201156, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,55, United-States, >50K.\n33, Private,171468, Some-college,10, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K.\n37, Private,255454, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,7298,0,35, Haiti, >50K.\n26, Private,207258, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n43, Self-emp-not-inc,134440, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,99, United-States, <=50K.\n46, Private,107737, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,193190, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n45, Private,114774, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,2258,55, United-States, <=50K.\n17, Private,507492, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, Guatemala, <=50K.\n23, Private,209955, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,25, Canada, <=50K.\n36, Private,298635, Bachelors,13, Married-civ-spouse, Other-service, Husband, Other, Male,0,0,40, Iran, >50K.\n47, Private,175600, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,294592, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n39, Private,40955, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K.\n33, Private,268996, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n30, Private,175323, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,52, United-States, <=50K.\n22, Private,125010, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n18, ?,201871, 12th,8, Never-married, ?, Own-child, White, Male,0,0,7, United-States, <=50K.\n28, Private,203171, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,53774, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,4064,0,12, United-States, <=50K.\n29, Private,247867, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,126135, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,82067, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K.\n45, Private,224559, 10th,6, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K.\n48, Local-gov,127675, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,0,44, United-States, <=50K.\n47, Private,101825, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n48, Self-emp-not-inc,259412, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K.\n25, Private,166977, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,40, United-States, >50K.\n63, Private,546118, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K.\n42, Private,110318, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,175856, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,156763, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-inc,213897, Masters,14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,1902,40, Hong, >50K.\n24, Private,44493, Assoc-voc,11, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K.\n34, Private,201156, 11th,7, Never-married, Craft-repair, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n27, Private,375703, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n31, Private,293594, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,3770,37, Puerto-Rico, <=50K.\n44, Local-gov,183850, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, <=50K.\n27, Private,84433, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n62, ?,296485, Assoc-voc,11, Separated, ?, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n28, Private,214026, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K.\n40, Local-gov,104235, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2051,30, United-States, <=50K.\n42, Private,212894, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K.\n24, Private,446647, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K.\n56, Private,530099, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Private,42850, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, ?, <=50K.\n43, Private,120277, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,55, United-States, <=50K.\n56, Private,146554, HS-grad,9, Separated, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n20, Private,44793, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n52, Private,182907, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n50, Private,341797, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Canada, >50K.\n29, Private,226441, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,48988, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n32, Private,252646, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n27, ?,214695, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K.\n23, Private,189194, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Private,68021, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,117369, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n19, Private,340094, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n34, Local-gov,161113, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n23, State-gov,279243, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,38, United-States, <=50K.\n49, Private,110669, 10th,6, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n17, Private,121470, 12th,8, Never-married, Transport-moving, Own-child, White, Male,0,0,10, ?, <=50K.\n39, Private,453686, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n32, Private,281219, Assoc-voc,11, Divorced, Sales, Unmarried, White, Female,0,1380,40, United-States, <=50K.\n30, Private,235738, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n25, Private,272167, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n76, ?,84737, Bachelors,13, Widowed, ?, Other-relative, Asian-Pac-Islander, Male,0,0,32, China, <=50K.\n62, Private,176965, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Private,101701, Bachelors,13, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,20, United-States, <=50K.\n33, Private,22405, HS-grad,9, Separated, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,72, United-States, <=50K.\n50, Private,98815, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,46, United-States, >50K.\n43, Private,195897, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,96718, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,39, United-States, <=50K.\n67, Private,126361, 11th,7, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,9, United-States, >50K.\n27, State-gov,56365, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,20, China, <=50K.\n33, Federal-gov,344073, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,1408,50, United-States, <=50K.\n35, Private,306388, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K.\n20, Private,143604, Some-college,10, Never-married, Sales, Unmarried, White, Female,0,0,2, United-States, <=50K.\n26, Private,174592, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K.\n45, Self-emp-not-inc,48553, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n23, Private,358355, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, Mexico, <=50K.\n48, Private,443377, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n28, Local-gov,229656, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1485,40, United-States, >50K.\n40, Private,115516, Masters,14, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K.\n62, Private,189665, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K.\n52, Self-emp-not-inc,105010, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,30, United-States, <=50K.\n50, Private,320510, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n43, Private,175943, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,20, United-States, <=50K.\n44, Private,89172, Masters,14, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,281627, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,1564,30, United-States, >50K.\n23, State-gov,1117718, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,30, United-States, <=50K.\n39, Private,108293, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Private,152035, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,38389, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,213902, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n22, Local-gov,192812, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K.\n35, Private,301911, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,50, Japan, >50K.\n52, Private,89041, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,40, United-States, >50K.\n37, Private,96483, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Other-relative, Asian-Pac-Islander, Female,5178,0,38, United-States, >50K.\n25, Private,209970, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n27, Private,110622, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n51, State-gov,250807, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, State-gov,391257, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n26, Private,135521, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K.\n21, ?,108670, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, Private,179533, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n64, Private,250117, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1902,50, United-States, >50K.\n34, State-gov,101562, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n70, Self-emp-inc,223275, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,126060, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n52, State-gov,168035, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K.\n25, Private,175382, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n33, Private,170540, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Private,243240, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K.\n51, Self-emp-not-inc,381769, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,104545, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,20, United-States, <=50K.\n61, Private,74040, Bachelors,13, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Female,0,0,30, South, <=50K.\n41, Federal-gov,275366, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,194360, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,72, United-States, >50K.\n24, State-gov,334693, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n29, Private,146764, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n24, ?,184975, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n18, Private,336508, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K.\n60, Private,427248, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, ?,186489, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,2603,40, United-States, <=50K.\n28, Private,258364, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n26, Local-gov,214215, 11th,7, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,50, United-States, <=50K.\n41, Self-emp-not-inc,49448, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,99999,0,40, United-States, >50K.\n52, Private,261198, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-inc,270535, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K.\n26, Self-emp-not-inc,218993, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,30, United-States, <=50K.\n48, Private,155489, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n18, ?,151866, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n47, Private,98828, HS-grad,9, Widowed, Prof-specialty, Unmarried, Other, Female,0,0,35, Puerto-Rico, <=50K.\n22, Private,233495, 9th,5, Divorced, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,182203, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n38, Private,33394, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,75, United-States, >50K.\n19, ?,171583, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n34, Local-gov,80411, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,161295, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, >50K.\n49, ?,178341, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,7688,0,50, United-States, >50K.\n38, Private,311523, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male,0,0,40, Iran, <=50K.\n25, Private,315130, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,10, United-States, <=50K.\n23, Private,67311, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, Canada, <=50K.\n48, Private,44907, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n62, Private,104849, Masters,14, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, China, >50K.\n27, Private,225768, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n24, Private,186666, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n23, ?,69510, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n59, Private,171242, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n55, Private,197420, HS-grad,9, Never-married, Priv-house-serv, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n48, Private,224087, 10th,6, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n61, Self-emp-not-inc,140141, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-not-inc,175943, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Female,0,0,14, United-States, <=50K.\n46, Local-gov,318259, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,190027, HS-grad,9, Separated, Tech-support, Unmarried, Black, Female,0,0,35, United-States, <=50K.\n32, Private,233838, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, <=50K.\n51, ?,117847, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,99, United-States, <=50K.\n26, Private,49092, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n39, Private,171524, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Columbia, <=50K.\n50, Private,237868, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1887,55, United-States, >50K.\n51, Self-emp-not-inc,34067, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-inc,25005, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,177437, Bachelors,13, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Local-gov,185267, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n40, Private,104397, HS-grad,9, Married-civ-spouse, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n41, Private,33331, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, >50K.\n48, Private,29128, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n57, State-gov,328228, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,227411, Assoc-voc,11, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n27, Private,169117, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n27, Private,238267, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,10, United-States, <=50K.\n31, Private,118551, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,47541, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n45, Private,92374, Some-college,10, Never-married, Exec-managerial, Not-in-family, Other, Male,13550,0,60, India, >50K.\n61, Local-gov,224598, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,24, ?, <=50K.\n32, Private,131568, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,183319, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,43, United-States, >50K.\n41, Private,309932, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n60, Private,197311, HS-grad,9, Divorced, Priv-house-serv, Unmarried, White, Female,0,0,99, United-States, <=50K.\n28, Private,292120, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,42, United-States, <=50K.\n49, Private,117310, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K.\n23, Private,308647, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,1887,40, United-States, >50K.\n30, Private,135785, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,179008, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n27, State-gov,205188, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K.\n26, Private,193945, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n40, State-gov,258589, Masters,14, Never-married, Craft-repair, Not-in-family, White, Male,0,0,80, United-States, <=50K.\n30, State-gov,107142, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, >50K.\n42, Private,23157, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n72, Self-emp-not-inc,47203, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,4931,0,70, United-States, <=50K.\n30, Private,279923, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n51, Private,192386, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,6849,0,40, United-States, <=50K.\n24, Private,188569, Masters,14, Never-married, Exec-managerial, Own-child, White, Female,4787,0,60, United-States, >50K.\n43, Private,68748, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n53, Private,239155, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n45, Private,165346, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,64, United-States, <=50K.\n21, Private,392082, Some-college,10, Never-married, Adm-clerical, Own-child, Other, Male,0,0,40, United-States, <=50K.\n36, Private,379522, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, Germany, <=50K.\n34, Private,109917, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,109097, 11th,7, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n57, State-gov,202765, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Federal-gov,125892, Masters,14, Married-civ-spouse, Exec-managerial, Other-relative, White, Male,15024,0,40, United-States, >50K.\n30, Private,119411, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,88231, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,188561, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,191681, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,36999, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K.\n57, Private,161662, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,4650,0,40, United-States, <=50K.\n45, Local-gov,111994, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,247711, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,2258,55, United-States, <=50K.\n41, Private,271282, 11th,7, Divorced, Protective-serv, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n44, Private,314739, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n39, State-gov,195148, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,358121, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n31, Private,101266, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,278391, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,50, United-States, <=50K.\n19, Private,206751, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K.\n54, Private,161147, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,2174,0,40, United-States, <=50K.\n47, Private,301431, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n17, Private,347000, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,12, United-States, <=50K.\n39, State-gov,25806, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,48, China, <=50K.\n24, Private,181557, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,40, United-States, <=50K.\n20, Private,20057, Some-college,10, Never-married, Protective-serv, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n25, Private,190107, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n39, Local-gov,30269, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,44, United-States, >50K.\n20, Private,117767, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n44, Private,406734, Masters,14, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n23, Private,236696, Assoc-acdm,12, Never-married, Craft-repair, Own-child, White, Male,0,0,20, Iran, <=50K.\n24, Private,354691, 12th,8, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,199720, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n24, Self-emp-not-inc,31606, Bachelors,13, Married-civ-spouse, Prof-specialty, Other-relative, White, Female,0,0,20, United-States, >50K.\n45, Federal-gov,133973, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n55, Private,323639, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,74, United-States, >50K.\n21, Private,225724, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n64, Self-emp-not-inc,144391, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,34173, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,20, United-States, <=50K.\n55, Local-gov,219074, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,55, United-States, >50K.\n21, Private,379525, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,4416,0,24, United-States, <=50K.\n17, Local-gov,287160, 11th,7, Never-married, Prof-specialty, Own-child, White, Female,0,0,7, United-States, <=50K.\n27, Private,130386, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n25, Private,409815, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n38, Private,212143, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,35, United-States, >50K.\n33, ?,33404, HS-grad,9, Divorced, ?, Unmarried, White, Male,0,0,48, United-States, <=50K.\n52, Private,235567, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Private,306868, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n37, Private,353550, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K.\n37, Private,107302, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K.\n65, Self-emp-not-inc,169435, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,39, United-States, >50K.\n28, Private,105817, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,68879, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n53, Self-emp-not-inc,206288, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,35, Vietnam, <=50K.\n32, Private,187936, 10th,6, Never-married, Craft-repair, Not-in-family, Black, Female,0,0,50, United-States, <=50K.\n45, Private,226081, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n49, Private,414448, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, ?, <=50K.\n34, Local-gov,79190, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, <=50K.\n39, Private,34996, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n43, Private,318415, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n45, ?,214800, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,12, United-States, <=50K.\n35, Private,148334, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,160120, Doctorate,16, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K.\n62, Self-emp-not-inc,285692, Masters,14, Married-spouse-absent, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n45, Private,461725, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,104329, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Private,37284, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,154374, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n17, Private,209650, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K.\n18, Private,227529, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Private,249382, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n20, Private,305781, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n55, Private,147989, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,58, United-States, <=50K.\n57, Private,207604, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,367260, Doctorate,16, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,147523, 9th,5, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,40, El-Salvador, <=50K.\n52, Self-emp-not-inc,193116, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, Mexico, <=50K.\n18, Private,50119, 10th,6, Never-married, Other-service, Not-in-family, Black, Male,0,0,20, United-States, <=50K.\n52, Private,262579, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n42, Private,244910, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,120902, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n55, Private,217241, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Private,65098, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K.\n17, Private,364491, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,22, United-States, <=50K.\n47, Private,209739, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,72338, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male,0,0,26, United-States, <=50K.\n48, Private,215895, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,32289, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n54, Private,209464, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n69, Private,98170, 7th-8th,4, Widowed, Other-service, Not-in-family, White, Female,1086,0,20, United-States, <=50K.\n40, Private,271665, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K.\n25, Private,124111, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,50, United-States, <=50K.\n82, Self-emp-not-inc,121944, 7th-8th,4, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Self-emp-not-inc,121424, Bachelors,13, Separated, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n53, State-gov,33795, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,150429, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,50, United-States, >50K.\n57, Private,124771, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K.\n21, Private,204160, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,13, United-States, <=50K.\n52, Private,243616, 5th-6th,3, Separated, Craft-repair, Unmarried, Black, Female,4101,0,40, United-States, <=50K.\n45, Private,168556, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n54, Private,186224, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n69, Self-emp-not-inc,187332, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,45, United-States, >50K.\n30, Private,113433, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K.\n37, Private,268598, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, United-States, <=50K.\n60, Self-emp-inc,137733, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,44, United-States, >50K.\n55, Private,210318, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,106662, Bachelors,13, Separated, Sales, Not-in-family, White, Male,99999,0,55, United-States, >50K.\n21, Private,162667, HS-grad,9, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,40, Ecuador, <=50K.\n25, Private,187577, Assoc-acdm,12, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n67, Private,89495, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,1797,0,4, United-States, <=50K.\n41, Local-gov,247082, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n53, Private,157059, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n26, Private,282643, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n68, Self-emp-not-inc,69249, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,10, United-States, >50K.\n36, Private,131766, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,3325,0,40, United-States, <=50K.\n20, Private,163665, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K.\n20, Private,165097, Some-college,10, Never-married, Exec-managerial, Other-relative, White, Male,0,2001,40, United-States, <=50K.\n35, Private,194668, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,99999,0,45, United-States, >50K.\n27, Private,116372, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,113635, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Private,162994, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,266803, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,50, Canada, >50K.\n20, Private,230482, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n51, Private,299831, Assoc-voc,11, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n30, Private,172830, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n50, Private,144084, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,55, United-States, <=50K.\n30, Local-gov,295737, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,207685, Bachelors,13, Separated, Prof-specialty, Unmarried, Black, Female,0,0,39, United-States, <=50K.\n55, Private,161423, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,52, United-States, >50K.\n53, Self-emp-not-inc,122109, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,70, United-States, <=50K.\n45, Private,215892, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,2824,50, United-States, >50K.\n45, Private,176517, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K.\n40, Self-emp-not-inc,220821, 7th-8th,4, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,72, United-States, <=50K.\n73, Local-gov,249043, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,20, Cuba, <=50K.\n18, Private,58949, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n33, Private,158438, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n33, Private,154950, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K.\n38, Private,200445, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K.\n65, ?,224357, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,2290,0,4, United-States, <=50K.\n31, Federal-gov,103651, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n24, ?,316524, Bachelors,13, Never-married, ?, Other-relative, White, Female,0,0,40, United-States, <=50K.\n51, Self-emp-inc,200046, Bachelors,13, Separated, Sales, Unmarried, White, Male,0,2824,40, United-States, >50K.\n32, Private,193285, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n52, Private,146015, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-inc,195096, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n25, Private,221078, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n45, Local-gov,186375, Assoc-voc,11, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Self-emp-not-inc,44983, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K.\n71, Private,29770, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,28, United-States, <=50K.\n63, State-gov,266565, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,27, United-States, <=50K.\n45, State-gov,235431, HS-grad,9, Separated, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n57, ?,153788, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,99999,0,45, United-States, >50K.\n47, Private,280030, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,52, United-States, <=50K.\n50, Self-emp-not-inc,158352, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n25, Local-gov,109972, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,45, United-States, <=50K.\n32, Private,278940, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n40, Private,174395, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n50, Private,141592, 10th,6, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n54, Private,295525, Some-college,10, Divorced, Protective-serv, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,121321, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n42, Private,198955, 9th,5, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,46, United-States, <=50K.\n27, ?,105189, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, Germany, <=50K.\n38, Private,186191, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n17, Private,208967, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K.\n47, Private,159399, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n21, ?,169600, Some-college,10, Married-spouse-absent, ?, Own-child, White, Female,0,0,35, United-States, <=50K.\n25, Private,262656, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n30, Private,284629, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,182189, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,65, United-States, >50K.\n47, Federal-gov,38819, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K.\n57, Private,191873, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,125082, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,40, United-States, <=50K.\n68, Private,67791, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n34, State-gov,334744, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,65, United-States, <=50K.\n35, Private,198841, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Local-gov,218490, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,188386, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,95661, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,45, Germany, <=50K.\n55, Self-emp-not-inc,79011, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,70, United-States, <=50K.\n72, Self-emp-not-inc,103368, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,21, United-States, <=50K.\n32, Private,119176, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,44, United-States, <=50K.\n28, Private,90928, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n61, Self-emp-inc,218009, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n44, Self-emp-not-inc,460259, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n35, Local-gov,405284, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K.\n48, Self-emp-not-inc,26502, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n49, Federal-gov,157569, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,46, United-States, <=50K.\n32, Private,252168, Some-college,10, Never-married, Other-service, Not-in-family, Black, Male,0,0,35, United-States, <=50K.\n26, Federal-gov,269353, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, Other, Male,0,0,55, United-States, <=50K.\n56, Self-emp-not-inc,52822, Bachelors,13, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n71, ?,365996, HS-grad,9, Widowed, ?, Unmarried, White, Female,6612,0,42, United-States, >50K.\n24, State-gov,147548, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n42, Local-gov,216411, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, Puerto-Rico, >50K.\n37, State-gov,122493, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,55, United-States, >50K.\n57, Private,41680, Some-college,10, Divorced, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n48, Local-gov,100818, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,7443,0,45, United-States, <=50K.\n39, Private,30056, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n20, Self-emp-inc,83141, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n46, Private,178768, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n68, Self-emp-not-inc,376957, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,6, United-States, <=50K.\n33, Private,194740, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,160728, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n62, ?,198170, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,4, United-States, <=50K.\n20, Private,200967, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K.\n42, State-gov,116493, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,52, United-States, <=50K.\n64, ?,117349, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,24, United-States, <=50K.\n42, Private,188615, Some-college,10, Separated, Prof-specialty, Not-in-family, White, Male,0,2231,50, Canada, >50K.\n47, Private,849067, 12th,8, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n40, Private,193459, Assoc-acdm,12, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, Outlying-US(Guam-USVI-etc), <=50K.\n51, State-gov,177487, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n26, Private,151971, Some-college,10, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,35, United-States, <=50K.\n32, Self-emp-inc,169152, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Female,10520,0,80, Greece, >50K.\n59, Private,108929, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n36, Private,290861, 11th,7, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,168826, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n45, Private,216414, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K.\n38, Private,324053, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n55, State-gov,197399, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,138069, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n59, Private,184553, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n31, Private,328734, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n29, Private,336167, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n34, Private,195748, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, Black, Female,0,0,38, United-States, <=50K.\n53, Private,590941, Doctorate,16, Never-married, Prof-specialty, Unmarried, White, Female,0,1408,40, United-States, <=50K.\n43, Private,211580, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n52, ?,73117, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,38, United-States, <=50K.\n45, Private,166863, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,141350, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n28, Private,133937, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,55, United-States, >50K.\n44, Private,282192, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,60, United-States, <=50K.\n32, Private,237582, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n29, Private,262758, Assoc-acdm,12, Never-married, Other-service, Unmarried, Black, Male,0,625,60, United-States, <=50K.\n48, Self-emp-inc,188694, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n40, Local-gov,104196, 12th,8, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,172232, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n29, Self-emp-not-inc,103432, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n65, Private,183544, 9th,5, Widowed, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n41, Private,276289, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,60, ?, <=50K.\n58, Private,111209, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K.\n30, Private,176862, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,201229, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,8, United-States, <=50K.\n42, Private,186689, HS-grad,9, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,60, United-States, <=50K.\n31, Private,177675, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n38, Federal-gov,337505, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, >50K.\n53, Private,156148, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Self-emp-inc,209642, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,99999,0,55, United-States, >50K.\n62, Private,159474, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n37, Private,75073, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n56, Self-emp-not-inc,121362, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,40, United-States, >50K.\n21, Private,321369, 10th,6, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n43, ?,49665, HS-grad,9, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Male,0,0,45, United-States, <=50K.\n44, Private,219155, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,329144, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,60, United-States, >50K.\n40, Local-gov,161475, HS-grad,9, Married-civ-spouse, Protective-serv, Wife, Black, Female,0,0,75, United-States, <=50K.\n70, Self-emp-inc,99554, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,277488, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Local-gov,286352, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n26, Private,109457, 10th,6, Married-civ-spouse, Craft-repair, Other-relative, White, Male,0,0,48, United-States, <=50K.\n33, Private,236304, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,60, United-States, >50K.\n35, Private,399601, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n42, State-gov,396758, Some-college,10, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n37, Private,21798, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n21, ?,278130, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n17, Private,192173, 9th,5, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n40, Private,43546, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,48, United-States, <=50K.\n20, Private,87546, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n69, Private,135891, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,7, United-States, >50K.\n32, Private,312923, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n21, Private,33432, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,8, United-States, <=50K.\n25, Private,270379, HS-grad,9, Never-married, Tech-support, Other-relative, Black, Female,0,0,35, United-States, <=50K.\n17, Private,134829, 11th,7, Never-married, Other-service, Own-child, White, Male,2176,0,20, United-States, <=50K.\n40, Federal-gov,155106, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,55, United-States, >50K.\n19, ?,145989, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,45, United-States, <=50K.\n50, Local-gov,270221, Some-college,10, Divorced, Adm-clerical, Own-child, White, Male,0,0,43, United-States, >50K.\n24, Private,123226, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,154641, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n73, Private,145570, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K.\n54, Private,229983, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n68, Self-emp-not-inc,140892, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,15, United-States, <=50K.\n45, Local-gov,278303, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n66, Private,127139, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n32, Self-emp-not-inc,360689, 11th,7, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n24, Private,19513, HS-grad,9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n56, Private,50490, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n50, Self-emp-not-inc,34067, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K.\n48, Private,359808, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, >50K.\n28, Private,105422, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n49, Private,28171, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,4787,0,40, United-States, >50K.\n59, State-gov,49230, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,165107, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n20, Private,112706, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,39, United-States, <=50K.\n56, Private,28297, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,104748, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n21, Private,129137, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,1055,0,35, United-States, <=50K.\n30, Private,298871, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,1887,45, Iran, >50K.\n30, Local-gov,229716, Some-college,10, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n31, Self-emp-inc,113752, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n32, Self-emp-not-inc,198739, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Local-gov,277256, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,114937, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n57, Private,206206, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n19, Private,197861, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,15, United-States, <=50K.\n19, Private,38925, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,34309, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n24, Private,219122, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, Italy, <=50K.\n41, Self-emp-not-inc,51494, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,173422, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n20, ?,116773, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, ?, <=50K.\n33, Private,252340, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,213799, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, United-States, <=50K.\n32, Local-gov,110100, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n53, Private,146325, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Private,383352, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n33, Private,369258, Bachelors,13, Never-married, Handlers-cleaners, Other-relative, White, Female,0,0,40, Mexico, <=50K.\n49, Private,239865, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K.\n52, Private,200783, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, <=50K.\n40, Private,243580, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, >50K.\n36, Private,132563, Prof-school,15, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,15, United-States, >50K.\n41, Self-emp-not-inc,390369, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,58, United-States, >50K.\n25, Private,403788, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,36, United-States, <=50K.\n26, State-gov,68346, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,10, ?, <=50K.\n59, Private,136413, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Federal-gov,208791, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, <=50K.\n21, Private,572285, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K.\n45, Private,90992, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n18, Private,156056, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,12, United-States, <=50K.\n20, Private,194102, Some-college,10, Never-married, Prof-specialty, Other-relative, White, Male,0,0,12, United-States, <=50K.\n42, Private,149102, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n41, Private,40151, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n40, Private,356934, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,45, United-States, >50K.\n28, Federal-gov,72514, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,72, United-States, <=50K.\n47, Local-gov,174126, HS-grad,9, Widowed, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n31, Private,324386, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,159544, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n34, Private,114691, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n49, Private,222829, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,42, United-States, >50K.\n63, Private,298699, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,216845, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, Mexico, <=50K.\n44, Private,321824, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K.\n56, Private,97541, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K.\n30, Private,329425, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Self-emp-inc,148287, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n51, Local-gov,251346, 9th,5, Married-civ-spouse, Other-service, Wife, White, Female,0,0,38, Puerto-Rico, <=50K.\n30, Private,143766, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n56, Private,49647, Assoc-voc,11, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n50, Private,233363, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n54, Local-gov,180427, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n46, Private,30111, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K.\n27, Private,360527, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,135803, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n60, Federal-gov,608441, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n42, Local-gov,720428, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K.\n36, Private,269784, 10th,6, Separated, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K.\n30, Private,423311, HS-grad,9, Married-AF-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n43, Private,343591, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n29, Private,37088, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, ?,154430, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n22, Private,113588, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,1741,30, United-States, <=50K.\n46, Private,190072, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,272132, Prof-school,15, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,65, ?, <=50K.\n44, Federal-gov,32000, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n30, Self-emp-inc,164190, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,2258,45, United-States, <=50K.\n17, Private,233781, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,18, United-States, <=50K.\n23, Private,401762, 11th,7, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Self-emp-not-inc,169186, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n33, Private,164309, 11th,7, Separated, Exec-managerial, Unmarried, White, Female,0,0,30, United-States, <=50K.\n24, Private,170800, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,37, United-States, <=50K.\n32, Private,37232, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,373403, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,192014, Bachelors,13, Separated, Exec-managerial, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n48, Self-emp-not-inc,172034, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n36, Local-gov,322770, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,1887,40, Jamaica, >50K.\n39, Private,269168, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,45, China, >50K.\n34, Private,302570, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,36, United-States, <=50K.\n35, Private,103710, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Self-emp-not-inc,113364, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,30, United-States, <=50K.\n33, Private,121966, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n35, Private,416745, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K.\n30, Local-gov,154548, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,65, United-States, <=50K.\n45, Private,188794, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,156266, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n61, ?,270599, 1st-4th,2, Widowed, ?, Not-in-family, White, Female,0,0,18, Mexico, <=50K.\n36, Private,19914, Some-college,10, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n31, Private,246439, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Male,0,0,45, United-States, <=50K.\n38, Private,101833, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,3103,0,40, United-States, >50K.\n32, Private,177695, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,45, India, <=50K.\n23, Private,167868, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,24, United-States, <=50K.\n22, Private,82561, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,31848, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n45, ?,117310, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,355918, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n38, Private,49115, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,102875, 11th,7, Married-civ-spouse, Handlers-cleaners, Own-child, Black, Male,0,0,20, United-States, <=50K.\n67, ?,194456, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n52, Self-emp-not-inc,284648, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,99, United-States, >50K.\n52, Self-emp-not-inc,73134, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,172600, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,10520,0,50, United-States, >50K.\n61, ?,244856, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,4386,0,40, United-States, >50K.\n25, Private,184303, 7th-8th,4, Never-married, Priv-house-serv, Other-relative, White, Female,0,0,40, Guatemala, <=50K.\n25, State-gov,154610, Bachelors,13, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Female,0,1719,15, United-States, <=50K.\n33, Private,260560, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,360770, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, Dominican-Republic, <=50K.\n24, Private,315877, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n58, Private,128258, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K.\n33, Private,179336, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Self-emp-inc,168165, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,109015, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,1876,40, United-States, <=50K.\n22, Private,89154, 1st-4th,2, Never-married, Other-service, Other-relative, White, Male,0,0,40, El-Salvador, <=50K.\n30, ?,260954, 7th-8th,4, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,85399, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,240841, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K.\n20, Private,119742, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Female,0,0,35, United-States, <=50K.\n24, Private,30656, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,24, United-States, <=50K.\n30, Local-gov,263561, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,108838, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,259351, HS-grad,9, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Male,0,0,40, Mexico, <=50K.\n42, Private,159449, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Self-emp-not-inc,195322, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,30, United-States, <=50K.\n38, Self-emp-not-inc,179481, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n40, State-gov,195388, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,123429, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Federal-gov,116580, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,45, United-States, >50K.\n21, Private,270043, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,25, United-States, <=50K.\n49, Self-emp-not-inc,232586, Bachelors,13, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n52, Private,164519, HS-grad,9, Widowed, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n33, Self-emp-not-inc,141118, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,55, United-States, >50K.\n27, Private,177955, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, Mexico, <=50K.\n45, Local-gov,149337, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Italy, >50K.\n45, Private,68896, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,48, ?, <=50K.\n27, Private,22422, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K.\n41, Private,215453, 1st-4th,2, Married-civ-spouse, Other-service, Husband, White, Male,0,0,43, Mexico, <=50K.\n30, Local-gov,170772, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,36011, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,2057,45, United-States, <=50K.\n35, Private,133839, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n48, Federal-gov,50567, Some-college,10, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Self-emp-inc,203233, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,99, United-States, >50K.\n46, Private,187510, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n24, Federal-gov,290625, Some-college,10, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,41, United-States, <=50K.\n39, Private,127573, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,30, United-States, >50K.\n27, Private,50316, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,169473, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n46, Private,25894, Doctorate,16, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, India, >50K.\n44, Private,106900, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n43, Private,157473, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,48, United-States, >50K.\n31, Private,122612, Masters,14, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,25, Japan, >50K.\n17, Private,132187, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K.\n25, ?,52151, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, <=50K.\n31, Private,212705, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,436361, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,20, United-States, >50K.\n38, Private,184456, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,50, Greece, <=50K.\n69, Local-gov,142297, 10th,6, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,17, United-States, <=50K.\n60, Federal-gov,54701, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n34, Private,245211, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Poland, >50K.\n50, Private,98975, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,15024,0,40, United-States, >50K.\n31, Private,463601, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n26, Private,297991, Bachelors,13, Married-civ-spouse, Sales, Not-in-family, Asian-Pac-Islander, Female,0,1977,75, Cambodia, >50K.\n36, Private,196554, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K.\n23, Private,113511, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n17, Private,152710, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n30, Private,147171, Some-college,10, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, Trinadad&Tobago, <=50K.\n54, Private,52724, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n35, Private,177482, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n58, Private,219537, 7th-8th,4, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n33, Private,350106, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,34, United-States, <=50K.\n30, Private,197947, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n21, Private,253583, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, United-States, <=50K.\n26, Private,58751, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n29, Private,206889, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n45, Private,151399, 12th,8, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n40, Local-gov,50563, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,55, United-States, >50K.\n31, Private,63861, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,34, United-States, <=50K.\n47, Private,165517, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n59, ?,43103, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n21, ?,123983, Some-college,10, Never-married, ?, Own-child, Other, Male,0,0,20, United-States, <=50K.\n45, Self-emp-not-inc,32172, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, United-States, <=50K.\n30, Private,192644, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n52, Self-emp-inc,230919, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n68, Private,115772, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, Scotland, <=50K.\n66, Self-emp-not-inc,51687, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K.\n26, Private,191803, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,170721, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n20, ?,132053, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,170842, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n22, ?,51973, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n21, ?,72621, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,45, United-States, <=50K.\n20, State-gov,205895, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n53, Self-emp-inc,99185, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,80, Greece, <=50K.\n30, Private,149726, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,7688,0,40, United-States, >50K.\n38, Private,372525, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K.\n21, Private,165107, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n47, Local-gov,273767, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n61, Private,227266, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n49, Federal-gov,89334, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,199202, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,326587, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,144351, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K.\n56, Federal-gov,119254, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n62, Private,193881, Masters,14, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n77, Private,271000, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n17, ?,74685, 10th,6, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n34, Private,123291, 10th,6, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, United-States, <=50K.\n33, Local-gov,557359, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n25, Private,197403, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,184245, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, Columbia, <=50K.\n21, Private,92898, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n51, Private,105788, 5th-6th,3, Separated, Other-service, Unmarried, Black, Female,0,0,40, Scotland, <=50K.\n22, ?,205940, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n45, Private,212120, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K.\n35, Private,351772, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K.\n33, Private,309582, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,7298,0,50, United-States, >50K.\n28, Private,244650, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,1602,25, United-States, <=50K.\n58, Self-emp-not-inc,290670, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n64, Self-emp-not-inc,167877, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n37, Private,454024, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Black, Female,0,0,35, United-States, <=50K.\n28, Private,125531, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n22, Private,220603, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,25, United-States, <=50K.\n59, Private,180645, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,98725, 10th,6, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,60, United-States, <=50K.\n46, Private,431515, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,122612, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, South, <=50K.\n23, Federal-gov,190290, HS-grad,9, Never-married, Armed-Forces, Own-child, White, Male,0,0,40, United-States, <=50K.\n76, Private,174839, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,9386,0,25, United-States, >50K.\n46, Federal-gov,83610, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n50, Private,273534, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,30, United-States, <=50K.\n26, Private,383885, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,50, United-States, <=50K.\n19, Private,188618, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,24, United-States, <=50K.\n35, Private,95653, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,56, United-States, <=50K.\n61, Private,204908, 11th,7, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,36, United-States, <=50K.\n41, Private,221172, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,97723, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n32, Private,200401, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, Columbia, <=50K.\n41, State-gov,205153, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n38, Private,170174, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n58, Federal-gov,26947, Bachelors,13, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n17, ?,154938, 11th,7, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K.\n62, Private,125832, 9th,5, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n25, Self-emp-not-inc,150361, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Local-gov,113183, Masters,14, Divorced, Prof-specialty, Not-in-family, Other, Female,0,0,40, United-States, <=50K.\n23, Private,39551, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K.\n18, ?,62854, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n61, ?,31285, 7th-8th,4, Separated, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Private,199217, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n47, Local-gov,40690, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,315671, 7th-8th,4, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, United-States, <=50K.\n23, Private,180339, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,119545, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n23, Private,195508, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n31, Private,364657, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n49, Federal-gov,168598, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, >50K.\n33, Private,178683, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5013,0,40, United-States, <=50K.\n27, Private,123116, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2057,49, United-States, <=50K.\n33, Private,251117, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n35, Local-gov,42893, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,5721,0,40, United-States, <=50K.\n19, Private,386492, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K.\n31, Private,249869, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Private,116219, Some-college,10, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n33, Private,168981, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n67, ?,137894, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,16, United-States, >50K.\n19, State-gov,139091, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K.\n25, Private,219199, 11th,7, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,191455, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,10, United-States, <=50K.\n39, Private,325374, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,40, United-States, >50K.\n77, ?,180425, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,25, United-States, <=50K.\n43, Private,149871, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n30, Private,342730, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n41, Private,252392, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K.\n60, Private,193864, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Self-emp-inc,139364, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,35, United-States, >50K.\n20, Private,253612, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,30, United-States, <=50K.\n34, Private,287168, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K.\n17, Private,364952, 10th,6, Married-spouse-absent, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K.\n45, Private,82797, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n31, Private,100135, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n54, Local-gov,287831, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,55, United-States, >50K.\n41, Self-emp-not-inc,140108, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,30, United-States, <=50K.\n19, Private,180917, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n51, Private,29036, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,221581, HS-grad,9, Married-spouse-absent, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n63, Local-gov,382882, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,237091, HS-grad,9, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female,0,0,20, Columbia, <=50K.\n19, Private,134252, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K.\n29, Private,269354, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n58, Private,226922, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,2907,0,43, United-States, <=50K.\n37, Self-emp-not-inc,191841, Bachelors,13, Divorced, Other-service, Unmarried, White, Female,0,0,48, United-States, <=50K.\n28, Private,37805, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,590522, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2002,45, United-States, <=50K.\n51, Private,202752, 12th,8, Separated, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n34, ?,304872, Some-college,10, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n28, Private,228075, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Private,163831, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n32, Private,32326, Bachelors,13, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, >50K.\n40, Private,179809, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n35, Private,76878, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Italy, <=50K.\n44, Federal-gov,210492, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n56, Private,105582, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, >50K.\n44, Private,160369, Some-college,10, Married-civ-spouse, Priv-house-serv, Husband, White, Male,0,0,2, United-States, <=50K.\n27, Private,364986, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n56, ?,169278, Some-college,10, Widowed, ?, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n52, Local-gov,76081, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n27, State-gov,234135, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Self-emp-inc,187693, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,80, United-States, >50K.\n32, Private,188362, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,235271, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,86, United-States, >50K.\n34, Private,51854, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,103772, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n55, Federal-gov,300670, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, >50K.\n45, Private,175990, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K.\n43, Private,173590, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n38, State-gov,156866, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Other, Male,0,0,40, United-States, >50K.\n56, Private,71388, 9th,5, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n40, Private,228659, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,60, United-States, <=50K.\n55, Self-emp-not-inc,110844, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K.\n52, Private,149908, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,25236,0,44, United-States, >50K.\n28, Private,93021, 5th-6th,3, Never-married, Machine-op-inspct, Unmarried, Other, Female,0,0,40, ?, <=50K.\n19, Local-gov,273187, HS-grad,9, Never-married, Protective-serv, Own-child, White, Female,0,0,36, United-States, <=50K.\n19, Private,62419, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n24, Private,218957, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,24, ?, <=50K.\n48, Private,182715, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K.\n29, Private,157103, Assoc-voc,11, Never-married, Tech-support, Own-child, Black, Male,0,1974,40, United-States, <=50K.\n54, Private,133963, Some-college,10, Widowed, Sales, Unmarried, White, Female,0,0,20, United-States, <=50K.\n26, Private,151724, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n58, Private,196502, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n37, Self-emp-inc,199816, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,413365, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n65, Private,195568, Some-college,10, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n43, Private,186245, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n33, Private,279231, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K.\n55, Federal-gov,171870, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,46, United-States, >50K.\n32, Private,127651, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,46, United-States, >50K.\n56, Self-emp-not-inc,289605, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,130856, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n34, State-gov,49539, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n39, Self-emp-not-inc,263081, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,50, United-States, <=50K.\n56, Local-gov,205759, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,358655, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K.\n51, Private,186299, Preschool,1, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n47, Private,289517, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,105686, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n58, Local-gov,81132, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male,0,0,80, Philippines, >50K.\n25, Private,68302, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,443546, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n34, Self-emp-not-inc,195891, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, ?, >50K.\n35, Private,99462, HS-grad,9, Divorced, Tech-support, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n36, Private,224541, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n70, ?,262502, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,1844,24, United-States, <=50K.\n41, Private,118921, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,60, United-States, <=50K.\n46, Private,155489, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n38, Self-emp-not-inc,248919, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,27828,0,35, United-States, >50K.\n47, Private,139268, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,27828,0,38, United-States, >50K.\n43, Self-emp-not-inc,245056, Preschool,1, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, Haiti, <=50K.\n39, Private,433592, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,45, United-States, >50K.\n29, Private,336624, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,40, United-States, >50K.\n47, Private,177858, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,27828,0,60, United-States, >50K.\n37, Private,207066, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, Private,56750, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n67, Private,110331, 9th,5, Divorced, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K.\n40, Private,84801, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n53, Local-gov,175897, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,369027, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,37, United-States, <=50K.\n56, Private,170411, HS-grad,9, Divorced, Protective-serv, Own-child, White, Male,4101,0,38, United-States, <=50K.\n47, Private,171751, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,61518, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n31, Private,214235, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K.\n42, ?,56483, Some-college,10, Married-AF-spouse, ?, Wife, White, Female,0,0,14, United-States, <=50K.\n44, Private,154993, Some-college,10, Separated, Craft-repair, Unmarried, White, Female,0,0,55, United-States, <=50K.\n33, Private,160594, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K.\n22, Private,258298, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,35, United-States, <=50K.\n52, Private,192666, 12th,8, Separated, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n33, Private,156602, Bachelors,13, Never-married, Sales, Own-child, White, Male,3325,0,43, United-States, <=50K.\n31, Private,122116, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n75, Local-gov,73433, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,2467,40, Canada, <=50K.\n50, Private,99185, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Private,203828, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Italy, <=50K.\n58, Local-gov,101480, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Self-emp-inc,134815, 9th,5, Never-married, Craft-repair, Unmarried, White, Male,0,625,40, United-States, <=50K.\n36, State-gov,235195, Some-college,10, Separated, Prof-specialty, Unmarried, White, Female,0,0,32, United-States, <=50K.\n26, Private,93169, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n58, Local-gov,36091, Masters,14, Never-married, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n57, Private,124318, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,45, United-States, <=50K.\n46, Self-emp-inc,188861, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,1564,50, United-States, >50K.\n29, Private,194402, Masters,14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,42, ?, <=50K.\n42, Self-emp-not-inc,54651, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Cuba, >50K.\n34, Private,169496, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n57, Private,34366, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n35, State-gov,213076, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Local-gov,161132, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,56, United-States, <=50K.\n46, Private,479406, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1672,40, United-States, <=50K.\n39, Private,115618, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n25, Self-emp-inc,158033, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n43, Private,108682, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,430195, 11th,7, Separated, Other-service, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n46, Local-gov,138107, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,60, United-States, >50K.\n27, Private,215014, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,183279, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n68, Self-emp-not-inc,119056, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,24, United-States, >50K.\n52, Private,158583, Some-college,10, Divorced, Tech-support, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n26, Private,242464, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n27, Private,35204, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K.\n52, Private,233149, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K.\n54, Private,182855, 7th-8th,4, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,189346, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n39, Private,82726, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n38, Private,179481, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n19, Private,167428, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K.\n22, Private,182117, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n58, Private,162970, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1977,60, United-States, >50K.\n39, Private,421633, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n20, State-gov,231931, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,132749, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n22, Private,254351, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n31, State-gov,152109, Assoc-voc,11, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n42, Private,100479, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n53, Local-gov,222405, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n32, Private,117028, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,91163, HS-grad,9, Separated, Other-service, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n36, Private,150104, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n39, Private,114605, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,348152, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,174463, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K.\n47, Private,180243, Bachelors,13, Never-married, Sales, Other-relative, White, Female,0,0,40, United-States, <=50K.\n31, Private,238816, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,275848, 12th,8, Never-married, Sales, Other-relative, White, Female,0,0,16, United-States, <=50K.\n51, Private,114520, HS-grad,9, Divorced, Sales, Unmarried, White, Male,0,0,16, United-States, <=50K.\n34, State-gov,275880, Bachelors,13, Separated, Exec-managerial, Unmarried, Black, Female,0,0,38, United-States, <=50K.\n39, Private,188148, Some-college,10, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,48, United-States, <=50K.\n42, Private,112494, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,35, United-States, >50K.\n17, ?,159771, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,6, England, <=50K.\n27, Private,278736, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n20, ?,354351, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K.\n33, Private,252257, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n62, ?,128230, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,48, United-States, >50K.\n27, Private,321456, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Self-emp-inc,200825, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n19, Private,86143, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,20, Philippines, <=50K.\n40, State-gov,353687, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n43, Local-gov,212847, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n60, Private,154589, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,35, United-States, >50K.\n42, Private,183765, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Private,186672, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, Jamaica, <=50K.\n50, Private,249096, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n27, Private,190784, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,45, United-States, <=50K.\n25, Private,144516, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,124993, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,43, United-States, >50K.\n24, Private,111376, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,300838, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,40, Mexico, <=50K.\n28, Private,359049, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,1092,60, United-States, <=50K.\n36, ?,100669, HS-grad,9, Never-married, ?, Own-child, Asian-Pac-Islander, Male,0,0,25, United-States, <=50K.\n46, Self-emp-not-inc,366089, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n19, Private,110998, Some-college,10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n23, Private,60409, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n55, Private,129263, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n48, Private,219967, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,171540, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Local-gov,61708, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,294760, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K.\n35, Private,209280, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,31, United-States, <=50K.\n31, Private,208881, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n17, Private,191535, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,7, United-States, <=50K.\n31, Private,143851, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n51, Private,161599, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, ?, <=50K.\n20, Self-emp-not-inc,428299, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,199366, 10th,6, Married-spouse-absent, Craft-repair, Own-child, White, Male,0,0,16, United-States, <=50K.\n34, Local-gov,484911, HS-grad,9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n37, Private,390243, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,45, United-States, <=50K.\n55, Self-emp-not-inc,204502, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K.\n32, Self-emp-not-inc,114419, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n49, Private,79436, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, <=50K.\n54, Private,141272, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n62, Local-gov,123749, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,101173, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,35, United-States, <=50K.\n49, Private,39518, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,250038, 9th,5, Never-married, Farming-fishing, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n59, Self-emp-inc,165695, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, >50K.\n48, Local-gov,225594, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K.\n21, State-gov,51979, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,11, United-States, <=50K.\n31, Private,177675, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n37, Private,199739, Some-college,10, Divorced, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,27408, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n28, Private,110169, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,3, United-States, <=50K.\n39, Self-emp-not-inc,179488, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n30, Private,118551, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, >50K.\n71, Self-emp-not-inc,157845, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K.\n37, Self-emp-not-inc,68899, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K.\n53, Private,58535, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,191503, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K.\n34, Private,113364, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K.\n34, Self-emp-not-inc,204742, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,62, United-States, <=50K.\n21, Private,163870, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,40, ?, <=50K.\n53, Private,208122, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,60, United-States, >50K.\n46, Local-gov,174361, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,265077, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,1055,0,10, United-States, <=50K.\n50, Private,241648, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n30, Private,94145, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n32, Private,178449, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n23, Private,236804, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n53, Self-emp-not-inc,187830, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,35, United-States, >50K.\n41, Private,66208, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Female,0,0,45, United-States, <=50K.\n42, Private,219155, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K.\n38, Private,99146, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K.\n45, Private,142889, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,44, United-States, <=50K.\n56, Private,136164, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,154410, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n65, Private,113293, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,195096, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n42, Private,172641, 7th-8th,4, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n43, Private,265072, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,2258,50, United-States, >50K.\n22, Private,305874, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n51, Private,312446, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,37, United-States, >50K.\n21, Private,391312, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,30, United-States, <=50K.\n32, Private,234976, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, <=50K.\n19, Private,199495, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n53, Private,98561, HS-grad,9, Widowed, Tech-support, Not-in-family, White, Male,0,0,39, United-States, >50K.\n43, Private,176452, 9th,5, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,50, ?, >50K.\n17, Private,188996, 9th,5, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n46, State-gov,171926, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,7430,0,50, United-States, >50K.\n45, Local-gov,310260, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n52, Private,72257, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Self-emp-not-inc,86643, Assoc-acdm,12, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n18, Private,115815, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n53, Private,227475, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Local-gov,324550, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n37, Private,138105, HS-grad,9, Separated, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K.\n19, Private,146189, 11th,7, Never-married, Sales, Unmarried, Amer-Indian-Eskimo, Male,0,0,43, United-States, <=50K.\n25, Private,478836, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n57, Private,513440, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Mexico, <=50K.\n19, Private,151806, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Private,363253, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, ?, >50K.\n54, Self-emp-inc,263925, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n29, Private,57617, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K.\n32, Private,208761, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n49, Private,169092, HS-grad,9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,40, ?, <=50K.\n34, Private,173854, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,27828,0,60, United-States, >50K.\n46, Local-gov,116906, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Female,0,2258,35, United-States, <=50K.\n43, Private,163769, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, Federal-gov,72630, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,14084,0,55, United-States, >50K.\n58, ?,141409, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n67, Private,24968, 9th,5, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,118514, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, ?,116834, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K.\n42, Self-emp-not-inc,99185, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n32, Private,121769, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Private,160271, 7th-8th,4, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,123429, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, <=50K.\n24, Private,744929, HS-grad,9, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K.\n21, Private,143604, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,12, United-States, <=50K.\n36, Private,284582, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, ?,229363, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,4, United-States, <=50K.\n53, Private,161482, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K.\n24, Self-emp-not-inc,107452, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n38, State-gov,534775, Some-college,10, Never-married, Tech-support, Unmarried, Black, Female,0,0,50, United-States, <=50K.\n51, Private,183200, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, United-States, <=50K.\n42, Private,169980, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,50, United-States, >50K.\n22, Private,299047, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K.\n53, Private,92475, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n51, Private,114758, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,48, United-States, >50K.\n65, Self-emp-not-inc,55894, Prof-school,15, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,98466, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n39, Private,170174, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Male,14344,0,40, United-States, >50K.\n54, Private,335177, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,45, ?, <=50K.\n24, Private,511231, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n32, Local-gov,257849, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Local-gov,208751, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n36, Private,383566, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,55, England, >50K.\n47, ?,214605, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n40, State-gov,243664, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, United-States, <=50K.\n41, Private,176716, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n38, Private,366618, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-inc,83748, Some-college,10, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,70, South, <=50K.\n64, Private,278585, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n47, Private,106942, 7th-8th,4, Separated, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n22, Private,372898, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n48, Private,183610, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n45, Private,106061, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, <=50K.\n58, State-gov,138130, HS-grad,9, Never-married, Tech-support, Own-child, Black, Female,0,0,40, United-States, <=50K.\n48, Private,43479, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,5013,0,40, United-States, <=50K.\n49, Private,118520, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n34, Federal-gov,207284, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n43, State-gov,598995, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,3103,0,40, United-States, >50K.\n50, State-gov,141608, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, <=50K.\n31, Private,230912, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n31, Private,309170, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n57, Private,27459, HS-grad,9, Married-spouse-absent, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-not-inc,266674, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,56, United-States, >50K.\n52, Private,93127, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, United-States, <=50K.\n43, Self-emp-inc,27444, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,99999,0,40, United-States, >50K.\n30, Private,131415, Bachelors,13, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n54, Private,105428, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,1741,40, United-States, <=50K.\n36, Private,139364, Bachelors,13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male,10520,0,40, Ireland, >50K.\n43, Private,236936, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,47, United-States, >50K.\n35, Private,109204, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,456592, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,37, United-States, <=50K.\n34, Self-emp-not-inc,173201, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, Cuba, <=50K.\n19, ?,183408, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n51, Private,111721, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K.\n39, Private,268258, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, Black, Male,7688,0,50, United-States, >50K.\n59, Private,128258, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n46, Self-emp-not-inc,525848, 11th,7, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,48, United-States, <=50K.\n39, Private,124090, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n67, Private,249043, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,6767,0,40, United-States, <=50K.\n38, Private,119098, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n70, ?,30772, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Local-gov,49414, Some-college,10, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n30, Private,197886, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, >50K.\n39, Without-pay,334291, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n21, ?,171156, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n78, ?,109498, 9th,5, Widowed, ?, Unmarried, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-not-inc,83411, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,2415,40, United-States, >50K.\n47, Local-gov,209968, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K.\n20, Private,223921, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K.\n52, Local-gov,133403, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n50, Private,75763, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K.\n34, Private,200401, HS-grad,9, Separated, Transport-moving, Own-child, White, Male,0,0,25, Columbia, <=50K.\n45, Private,55272, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Local-gov,194970, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n38, Self-emp-not-inc,143385, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,80, United-States, <=50K.\n30, Private,180317, Assoc-voc,11, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, Private,255176, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n37, Local-gov,175120, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n38, Self-emp-inc,66687, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,50, Portugal, >50K.\n27, Federal-gov,115705, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,50, United-States, >50K.\n17, ?,197732, 11th,7, Never-married, ?, Own-child, White, Female,0,0,20, England, <=50K.\n32, Private,111883, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,210474, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K.\n26, Private,123472, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n24, Private,257621, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,341943, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n57, Private,181242, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n40, Federal-gov,187164, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n32, Private,308365, HS-grad,9, Never-married, Craft-repair, Other-relative, Black, Male,0,0,38, United-States, <=50K.\n53, Self-emp-not-inc,263439, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n23, Private,442359, HS-grad,9, Never-married, Sales, Own-child, White, Female,8614,0,15, United-States, >50K.\n54, Self-emp-not-inc,166368, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n21, Private,116968, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,2597,0,40, United-States, <=50K.\n26, Private,57593, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,247507, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,43, United-States, <=50K.\n38, Private,213512, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n19, Private,71691, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,18, United-States, <=50K.\n28, ?,147719, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male,0,0,48, India, <=50K.\n40, Private,244835, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K.\n21, ?,285830, HS-grad,9, Never-married, ?, Own-child, Asian-Pac-Islander, Female,0,0,20, Laos, <=50K.\n37, Private,386461, 5th-6th,3, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,45, Mexico, <=50K.\n41, Private,154714, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,281401, 5th-6th,3, Divorced, Sales, Other-relative, White, Female,0,0,32, Mexico, <=50K.\n35, Private,189251, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Female,0,0,40, Iran, <=50K.\n39, State-gov,102729, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,327766, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,55, United-States, >50K.\n29, Private,168479, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n54, Private,249352, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n24, Private,300008, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n32, Private,296466, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K.\n47, Private,199277, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, Portugal, >50K.\n36, Private,174242, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n63, Private,130968, 9th,5, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n25, Private,288440, Bachelors,13, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K.\n36, Private,208358, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n40, Self-emp-not-inc,458168, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n23, Private,37894, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,107410, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n24, ?,96844, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n53, Private,402016, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,52, United-States, >50K.\n60, Private,258869, Doctorate,16, Separated, Priv-house-serv, Unmarried, White, Female,0,0,30, Nicaragua, <=50K.\n35, Private,114087, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,5013,0,40, United-States, <=50K.\n33, Private,116294, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, >50K.\n21, Private,241523, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, ?,163053, 10th,6, Never-married, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n18, Never-worked,162908, 11th,7, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K.\n45, State-gov,310049, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K.\n37, Private,293475, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n60, Local-gov,169015, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,325762, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n37, Self-emp-not-inc,101561, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K.\n41, State-gov,52131, HS-grad,9, Divorced, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n30, Private,163867, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,204663, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,3325,0,40, United-States, <=50K.\n18, ?,233136, 11th,7, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n61, Self-emp-not-inc,48846, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n30, Private,264351, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,25, Ecuador, <=50K.\n41, Private,190205, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n29, Private,254450, Assoc-voc,11, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Self-emp-not-inc,29974, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,10520,0,45, United-States, >50K.\n53, Federal-gov,40641, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n73, Self-emp-not-inc,256401, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,28, United-States, >50K.\n25, Private,203833, 10th,6, Never-married, Farming-fishing, Not-in-family, Black, Male,0,0,35, Haiti, <=50K.\n30, Private,277455, HS-grad,9, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,176335, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,394690, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, State-gov,71996, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,52, United-States, <=50K.\n73, Self-emp-not-inc,110787, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,1409,0,2, United-States, <=50K.\n37, State-gov,157641, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n72, Private,164724, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,28, United-States, <=50K.\n30, Self-emp-not-inc,173792, Some-college,10, Separated, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n23, Private,163595, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,132412, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, ?, <=50K.\n22, Private,193089, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,43, United-States, <=50K.\n28, Private,190525, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,175878, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, >50K.\n21, Private,161902, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,211494, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,40, ?, >50K.\n42, Private,89003, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K.\n31, Private,344200, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,62345, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K.\n35, Private,85799, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, ?,26754, Bachelors,13, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,10, China, <=50K.\n26, Private,193347, Some-college,10, Divorced, Sales, Own-child, White, Female,0,0,28, United-States, <=50K.\n45, Self-emp-not-inc,176814, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,3411,0,40, United-States, <=50K.\n27, Private,336162, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n39, Private,98975, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,8614,0,50, United-States, >50K.\n71, Private,150943, Bachelors,13, Widowed, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K.\n22, Local-gov,131573, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,25, United-States, <=50K.\n51, Private,138852, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n48, Private,35406, Assoc-voc,11, Separated, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n48, Private,167159, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,80680, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,64, United-States, <=50K.\n55, Self-emp-inc,87584, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,10, United-States, <=50K.\n33, Private,56121, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n35, Private,284358, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,224969, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,209034, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n33, ?,177733, 7th-8th,4, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n19, Private,57366, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,30, United-States, <=50K.\n23, Private,35633, 7th-8th,4, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n29, Private,191177, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n75, Private,199826, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,36, United-States, >50K.\n54, Self-emp-not-inc,94323, 9th,5, Married-civ-spouse, Craft-repair, Wife, Amer-Indian-Eskimo, Female,0,2163,15, United-States, <=50K.\n60, ?,380268, Prof-school,15, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n90, Private,272752, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K.\n34, Private,228386, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, Black, Female,0,0,70, United-States, <=50K.\n20, Private,187149, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Female,0,0,40, United-States, <=50K.\n24, Local-gov,335439, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n24, Private,250630, Bachelors,13, Never-married, Sales, Unmarried, White, Female,0,0,45, United-States, <=50K.\n45, Local-gov,272182, Some-college,10, Married-civ-spouse, Tech-support, Husband, Black, Male,5013,0,40, United-States, <=50K.\n29, Private,108574, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K.\n47, State-gov,185400, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,406641, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,50, United-States, <=50K.\n29, Private,103634, HS-grad,9, Never-married, Protective-serv, Unmarried, White, Male,0,0,35, United-States, <=50K.\n46, Private,261059, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n66, Private,199374, Masters,14, Widowed, Sales, Unmarried, White, Female,0,0,20, United-States, <=50K.\n41, Private,405172, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, ?, >50K.\n32, Private,147654, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K.\n51, Private,129301, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K.\n29, Private,173789, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,212588, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,457453, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n65, Private,187493, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,40, Germany, >50K.\n57, Self-emp-not-inc,20953, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,2129,70, United-States, <=50K.\n40, Private,131650, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n60, Private,290754, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, ?, <=50K.\n46, State-gov,114396, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n19, Private,202102, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,318360, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,55, United-States, >50K.\n39, Private,160916, 9th,5, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, ?,913447, HS-grad,9, Divorced, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n30, Private,293931, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,65, United-States, <=50K.\n20, Private,230824, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K.\n20, ?,358355, 12th,8, Never-married, ?, Unmarried, White, Female,0,0,35, United-States, <=50K.\n62, Private,584259, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,44, United-States, <=50K.\n44, ?,208726, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n38, Private,185556, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K.\n58, Local-gov,100054, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,172307, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K.\n45, Private,30840, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,27828,0,50, United-States, >50K.\n27, Private,147839, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,38, United-States, <=50K.\n51, Private,54465, Assoc-voc,11, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n52, Federal-gov,418640, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, Haiti, >50K.\n34, Private,222130, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n41, Private,187336, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Local-gov,321024, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,351262, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,38, United-States, >50K.\n28, Private,181597, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n41, Private,694105, HS-grad,9, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n60, Private,241013, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n44, Self-emp-inc,223881, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, ?, >50K.\n40, Federal-gov,158796, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, Philippines, <=50K.\n41, Private,248476, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Private,191277, Assoc-voc,11, Divorced, Craft-repair, Own-child, White, Male,0,0,30, Thailand, <=50K.\n26, Private,273876, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n33, Private,402848, HS-grad,9, Married-spouse-absent, Adm-clerical, Other-relative, White, Female,0,0,32, United-States, <=50K.\n62, Private,82906, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,4064,0,35, England, <=50K.\n45, Private,153682, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K.\n52, Private,122412, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,99999,0,35, United-States, >50K.\n26, Private,216819, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,189680, HS-grad,9, Separated, Craft-repair, Unmarried, White, Male,0,0,40, United-States, >50K.\n41, Private,147099, Masters,14, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, Private,288158, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n32, Private,146161, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n65, ?,104454, Bachelors,13, Widowed, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Private,91475, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,151868, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,5013,0,65, United-States, <=50K.\n19, Private,118306, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,51543, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,60, United-States, <=50K.\n34, Private,69727, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n60, Private,186000, 10th,6, Separated, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,48280, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,186935, 11th,7, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n24, Federal-gov,104164, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Private,339677, Masters,14, Divorced, Tech-support, Unmarried, White, Female,0,0,40, ?, >50K.\n37, Private,123586, Bachelors,13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,1902,73, ?, >50K.\n19, Private,150073, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,25, United-States, <=50K.\n24, Private,59792, Masters,14, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n52, Private,24185, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,84, United-States, <=50K.\n87, ?,97295, HS-grad,9, Widowed, ?, Not-in-family, White, Female,0,0,3, United-States, <=50K.\n27, Without-pay,35034, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Female,0,0,40, United-States, <=50K.\n46, Private,118714, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K.\n33, Private,230883, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,2824,48, United-States, >50K.\n45, Private,149224, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,50, United-States, <=50K.\n35, Private,122493, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Private,441227, 11th,7, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,60, United-States, <=50K.\n45, Local-gov,272792, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,50, United-States, >50K.\n41, Private,303521, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,4650,0,45, United-States, <=50K.\n40, Private,226027, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,20, United-States, <=50K.\n36, Private,94565, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n65, Self-emp-not-inc,336848, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,162688, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,35, United-States, <=50K.\n30, State-gov,45737, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n60, ?,147393, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, <=50K.\n52, Private,335997, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,7688,0,38, United-States, >50K.\n26, Private,96645, Doctorate,16, Never-married, Craft-repair, Other-relative, Black, Male,0,0,20, United-States, <=50K.\n35, State-gov,43712, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K.\n45, Private,101825, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,5721,0,45, United-States, <=50K.\n45, Private,102318, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n40, State-gov,132125, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Self-emp-inc,229741, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1579,45, United-States, <=50K.\n60, State-gov,265201, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n47, ?,332884, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,45, United-States, >50K.\n39, Private,179481, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,304833, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n31, Private,341632, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, Black, Male,0,0,46, United-States, <=50K.\n21, Private,140001, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n30, Private,159123, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n33, Private,229636, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n35, Private,34996, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n53, Self-emp-not-inc,67198, 7th-8th,4, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,80, United-States, <=50K.\n65, Self-emp-inc,323636, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,10605,0,40, United-States, >50K.\n45, Private,182689, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K.\n25, Private,51392, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n43, Private,177905, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,143152, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K.\n37, State-gov,211286, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n33, Private,217962, Some-college,10, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,40, ?, <=50K.\n48, Private,309212, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, Germany, <=50K.\n19, ?,97261, Some-college,10, Never-married, ?, Own-child, White, Male,594,0,30, United-States, <=50K.\n46, Self-emp-not-inc,188273, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,15024,0,50, United-States, >50K.\n21, Private,93977, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n62, Self-emp-inc,163234, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,55, United-States, >50K.\n50, Local-gov,166423, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n33, Private,239071, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,46, United-States, <=50K.\n40, Private,190292, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K.\n38, Private,170783, Assoc-voc,11, Divorced, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n28, Private,239539, HS-grad,9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,0,45, United-States, <=50K.\n48, Private,164200, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,177647, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,47, United-States, <=50K.\n44, Self-emp-not-inc,86750, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,4508,0,72, United-States, <=50K.\n25, Private,176981, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n59, Federal-gov,134153, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Black, Male,7298,0,38, United-States, >50K.\n35, Private,245372, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Private,168236, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,448841, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Self-emp-inc,144778, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,8614,0,50, United-States, >50K.\n30, Private,155914, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n34, Federal-gov,117362, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n50, Local-gov,82783, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n30, Private,207301, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n41, Private,606347, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n61, Local-gov,149981, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,234972, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n33, Private,437566, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n33, Private,243266, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Dominican-Republic, >50K.\n31, Private,203408, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n43, Self-emp-not-inc,297510, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n18, Private,211683, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K.\n41, Private,167375, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,52, United-States, <=50K.\n36, Private,297449, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n42, Self-emp-not-inc,342634, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, Cambodia, <=50K.\n49, Private,38819, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n18, Private,164571, HS-grad,9, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Local-gov,122353, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,68, United-States, <=50K.\n26, Self-emp-not-inc,192652, Some-college,10, Never-married, Exec-managerial, Unmarried, White, Male,0,0,15, United-States, <=50K.\n25, Private,401241, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,4416,0,25, United-States, <=50K.\n32, Private,116539, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,162834, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Local-gov,226525, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,51, United-States, <=50K.\n18, Private,219404, 5th-6th,3, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,48, Mexico, <=50K.\n38, Private,33394, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n56, Federal-gov,75804, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n58, Self-emp-not-inc,359972, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, >50K.\n37, Private,201247, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Private,220109, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n59, Private,118479, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K.\n45, Private,189123, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n60, Private,495366, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n31, Private,53776, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,375980, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n61, Private,185152, 11th,7, Widowed, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n52, Local-gov,230095, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K.\n22, Private,349198, 7th-8th,4, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K.\n41, Private,59916, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,0,0,63, United-States, <=50K.\n32, Private,214150, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, >50K.\n29, Private,255187, Some-college,10, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n28, ?,129624, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,40, United-States, <=50K.\n30, Private,274577, Assoc-acdm,12, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n51, Private,257756, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K.\n29, ?,1024535, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K.\n75, Private,186808, 11th,7, Married-civ-spouse, Protective-serv, Husband, Black, Male,6418,0,50, United-States, >50K.\n46, Private,147519, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,80, United-States, <=50K.\n53, Private,173630, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,136986, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,50, United-States, >50K.\n41, Private,163287, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n25, Private,150804, HS-grad,9, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Vietnam, <=50K.\n27, Private,189565, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,165484, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,43, United-States, >50K.\n53, Private,177727, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n53, Self-emp-inc,190762, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n38, Private,246463, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n42, Private,27661, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,50, United-States, >50K.\n30, Private,288419, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Mexico, <=50K.\n57, Local-gov,258641, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, >50K.\n71, Self-emp-not-inc,200540, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,2392,52, United-States, >50K.\n21, Private,305423, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Private,148906, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n64, Private,262645, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n21, Private,243368, Preschool,1, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, Mexico, <=50K.\n41, Private,106698, HS-grad,9, Widowed, Transport-moving, Not-in-family, White, Female,13550,0,60, United-States, >50K.\n22, Private,186365, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-inc,304001, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,40, United-States, <=50K.\n38, Self-emp-inc,125645, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n42, Private,111468, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,3325,0,40, United-States, <=50K.\n32, Private,136331, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,40, United-States, >50K.\n40, Private,213849, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Private,138994, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K.\n29, Private,177562, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,3781,0,35, United-States, <=50K.\n18, Private,36251, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n32, Private,100904, Some-college,10, Separated, Other-service, Unmarried, Other, Female,0,0,70, United-States, <=50K.\n31, Private,427474, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,2179,35, Mexico, <=50K.\n37, Private,280549, Bachelors,13, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n34, Private,75454, 12th,8, Divorced, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n31, Private,203488, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n30, Private,49795, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n17, Private,152710, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n28, Local-gov,199172, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n31, Private,382583, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Male,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,127295, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Other, Male,0,0,20, Iran, <=50K.\n46, Local-gov,274200, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,130540, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,1564,40, United-States, >50K.\n22, Private,117789, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n20, Self-emp-inc,83141, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,18, United-States, <=50K.\n20, ?,229826, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K.\n36, Self-emp-inc,176837, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,45, United-States, >50K.\n34, Private,234096, 9th,5, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n51, Private,353317, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K.\n23, Private,302312, HS-grad,9, Divorced, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n17, Private,181015, 10th,6, Never-married, Other-service, Other-relative, White, Male,0,0,15, United-States, <=50K.\n36, State-gov,230329, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K.\n48, Private,164984, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,229051, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,45, United-States, >50K.\n41, Private,204415, 11th,7, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n55, Self-emp-not-inc,319883, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,4386,0,10, ?, >50K.\n25, Private,185836, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n52, Private,228516, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, >50K.\n47, Self-emp-not-inc,242519, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n36, Private,164866, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,33001, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,60, United-States, >50K.\n21, Private,811615, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,50, United-States, <=50K.\n43, Local-gov,300099, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,34, United-States, <=50K.\n46, State-gov,146305, Some-college,10, Divorced, Tech-support, Not-in-family, Other, Female,0,0,48, United-States, <=50K.\n36, Private,167482, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,65, United-States, <=50K.\n23, Private,106615, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Female,2176,0,25, United-States, <=50K.\n32, Private,204663, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,45, United-States, <=50K.\n40, Private,171234, Assoc-voc,11, Never-married, Prof-specialty, Unmarried, White, Female,0,0,24, United-States, <=50K.\n42, Private,167174, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,50, China, >50K.\n18, ?,112137, Some-college,10, Never-married, ?, Own-child, Other, Female,0,0,20, ?, <=50K.\n18, Private,116167, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,16, United-States, <=50K.\n41, Private,106159, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,14344,0,48, United-States, >50K.\n52, State-gov,295826, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,1876,50, United-States, <=50K.\n26, Private,233461, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,53, Mexico, <=50K.\n57, Private,289605, 9th,5, Never-married, Craft-repair, Not-in-family, White, Male,0,1617,35, United-States, <=50K.\n18, ?,348533, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,3, United-States, <=50K.\n31, Private,197886, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n27, Private,120126, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,75, United-States, >50K.\n35, Private,61343, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n42, Self-emp-not-inc,116197, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Federal-gov,236503, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n69, Federal-gov,47341, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,5, United-States, <=50K.\n25, Private,248990, 11th,7, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n18, Private,190776, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K.\n47, Local-gov,179048, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n28, Private,213842, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n24, Private,188274, Assoc-acdm,12, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,86849, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n41, Self-emp-inc,67671, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Canada, >50K.\n21, Private,243890, HS-grad,9, Never-married, Other-service, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n51, Private,279337, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K.\n35, Private,333636, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, ?, >50K.\n58, State-gov,312351, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n43, Local-gov,175935, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,245297, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n49, State-gov,70209, Doctorate,16, Divorced, Prof-specialty, Not-in-family, White, Female,14084,0,60, United-States, >50K.\n47, Local-gov,251588, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, United-States, >50K.\n33, Private,176992, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3464,0,40, United-States, <=50K.\n51, State-gov,87205, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,38, United-States, <=50K.\n43, Private,65545, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,46, United-States, <=50K.\n22, Private,289579, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Private,360689, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1628,48, United-States, <=50K.\n43, Private,57600, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n42, Local-gov,247082, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,50, United-States, >50K.\n36, Local-gov,188798, 11th,7, Separated, Prof-specialty, Unmarried, Other, Female,0,0,30, United-States, <=50K.\n19, Private,232261, 9th,5, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n19, ?,35507, Some-college,10, Never-married, ?, Own-child, White, Female,1055,0,40, United-States, <=50K.\n26, Private,301298, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K.\n38, Private,27016, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,43, United-States, <=50K.\n60, Private,166789, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,1408,50, United-States, <=50K.\n23, Private,94071, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,117767, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,18, United-States, <=50K.\n41, Private,219155, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Italy, <=50K.\n20, Private,34616, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Private,112341, Assoc-voc,11, Married-spouse-absent, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n28, Private,220656, 11th,7, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n53, Private,239990, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,139180, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K.\n52, Private,215656, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,60, United-States, <=50K.\n43, State-gov,157999, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K.\n23, Private,41763, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K.\n39, Private,299725, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n32, Private,198813, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n32, Private,431551, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,35, Mexico, <=50K.\n22, Private,195767, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n26, Private,140649, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,295706, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K.\n32, Private,324284, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,352426, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,60, Mexico, <=50K.\n39, Private,126569, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, ?, <=50K.\n81, Private,106390, 5th-6th,3, Widowed, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,6, United-States, <=50K.\n29, Private,134813, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n65, Private,95644, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n50, Private,254148, 5th-6th,3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, Mexico, <=50K.\n44, Private,367819, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,162370, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n55, Self-emp-not-inc,204387, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n60, Federal-gov,248288, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Private,175070, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,75, United-States, <=50K.\n51, Local-gov,169182, 7th-8th,4, Divorced, Other-service, Unmarried, White, Female,0,0,40, Columbia, <=50K.\n38, Self-emp-not-inc,223242, Some-college,10, Married-spouse-absent, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, State-gov,461929, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,40, United-States, >50K.\n25, Self-emp-not-inc,114483, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K.\n45, Private,260543, Masters,14, Widowed, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female,0,0,40, China, <=50K.\n27, Private,237466, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n57, Private,335605, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n31, Private,169122, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,28, United-States, <=50K.\n49, Private,176907, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n26, Private,264300, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n34, Private,159187, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n55, Private,303090, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,45, United-States, <=50K.\n33, Private,393702, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n19, ?,177923, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, United-States, <=50K.\n21, Private,191265, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Private,215074, Some-college,10, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n19, Private,30597, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,35, United-States, <=50K.\n35, Self-emp-not-inc,28996, Assoc-voc,11, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,188069, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n55, Private,53481, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, >50K.\n37, Private,410034, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n64, Private,64544, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,12, United-States, <=50K.\n46, Private,204379, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n23, Private,255252, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,178037, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, Ireland, <=50K.\n26, Private,184303, 5th-6th,3, Married-spouse-absent, Priv-house-serv, Other-relative, White, Female,0,0,8, El-Salvador, <=50K.\n20, Private,175800, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n88, Self-emp-not-inc,263569, 11th,7, Married-civ-spouse, Farming-fishing, Husband, White, Male,6418,0,40, United-States, >50K.\n42, Private,234508, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n50, Self-emp-not-inc,195372, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,36, United-States, <=50K.\n48, Private,265295, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n40, Private,184846, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,5178,0,40, United-States, >50K.\n47, Private,185400, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,70, United-States, <=50K.\n32, Private,360689, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,200598, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, <=50K.\n38, Private,227615, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,308144, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n44, Private,259674, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Black, Male,5178,0,60, United-States, >50K.\n41, Private,182217, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,30, United-States, <=50K.\n28, Private,230997, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,60, United-States, <=50K.\n31, Private,393702, HS-grad,9, Never-married, Prof-specialty, Own-child, White, Female,0,0,36, United-States, <=50K.\n57, Self-emp-not-inc,130957, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,70, United-States, >50K.\n20, Private,210444, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,25, United-States, <=50K.\n36, ?,172775, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, >50K.\n53, Self-emp-inc,167914, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,1876,50, United-States, <=50K.\n71, Private,533660, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,205997, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,21, United-States, <=50K.\n34, Private,253616, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, >50K.\n49, Private,148549, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n54, Local-gov,113649, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,233322, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n43, Self-emp-not-inc,325775, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,15, United-States, <=50K.\n30, Private,94235, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n47, Local-gov,336274, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n43, Private,147510, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K.\n48, Private,191389, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n35, Private,174503, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,160968, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,122797, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,52263, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,249282, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n27, Self-emp-not-inc,227332, Bachelors,13, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male,0,0,50, ?, <=50K.\n37, Local-gov,289238, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Private,153790, Assoc-acdm,12, Widowed, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n43, Local-gov,101563, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,176240, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n56, Private,131608, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Ireland, >50K.\n27, Private,198286, Some-college,10, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,222204, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,3325,0,40, United-States, <=50K.\n47, Self-emp-not-inc,148169, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,347867, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n40, Private,170413, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,1741,40, United-States, <=50K.\n33, Private,133861, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,62, United-States, <=50K.\n50, Federal-gov,289572, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n44, Local-gov,445382, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7688,0,40, United-States, >50K.\n42, Self-emp-not-inc,151809, HS-grad,9, Divorced, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K.\n49, Private,368355, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K.\n43, Private,73333, Prof-school,15, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n41, Private,117585, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1977,50, United-States, >50K.\n21, Private,107960, Some-college,10, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,20, China, <=50K.\n29, Private,196117, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,126569, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,60, United-States, <=50K.\n25, Private,216741, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n75, Private,254167, 10th,6, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n52, Private,102444, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,38848, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,55360, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n17, Private,140117, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,14, United-States, <=50K.\n36, Self-emp-not-inc,66883, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n52, Self-emp-not-inc,154728, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n22, ?,184756, Bachelors,13, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n48, Private,193047, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n54, Private,231342, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Male,0,0,32, United-States, <=50K.\n27, Private,310483, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n38, Federal-gov,174778, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,1980,40, United-States, <=50K.\n44, Federal-gov,130749, Bachelors,13, Separated, Exec-managerial, Unmarried, Black, Female,0,0,60, United-States, <=50K.\n38, Private,22463, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,45, United-States, >50K.\n29, Private,159473, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K.\n63, Private,81605, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n51, State-gov,68684, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n22, ?,229799, Some-college,10, Never-married, ?, Other-relative, White, Male,0,0,45, ?, <=50K.\n17, Private,124661, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n39, Private,117381, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,53206, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,47, United-States, >50K.\n52, Private,172962, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n24, ?,243923, 9th,5, Married-civ-spouse, ?, Husband, White, Male,0,0,10, Mexico, <=50K.\n72, Private,132753, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,15, United-States, <=50K.\n43, Private,67339, Bachelors,13, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,15, United-States, <=50K.\n71, Private,101577, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,1668,20, United-States, <=50K.\n39, Private,101192, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n51, State-gov,42901, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, >50K.\n43, Private,88787, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n39, Private,306504, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n30, ?,183746, HS-grad,9, Never-married, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n19, Self-emp-not-inc,242965, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K.\n52, Private,427475, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K.\n60, Self-emp-inc,180512, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n30, Private,97723, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n60, Private,208915, HS-grad,9, Widowed, Craft-repair, Other-relative, Asian-Pac-Islander, Female,0,0,40, Cambodia, <=50K.\n40, Local-gov,189189, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,20, United-States, <=50K.\n49, Self-emp-inc,327258, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1977,60, China, >50K.\n31, Private,254494, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, United-States, <=50K.\n23, Private,105577, Some-college,10, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,26, United-States, <=50K.\n34, Private,215124, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,192936, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n35, Private,274158, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Black, Male,3103,0,40, United-States, >50K.\n19, Private,318822, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,171889, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,68, United-States, <=50K.\n17, Private,94492, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,19, United-States, <=50K.\n17, Private,73820, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,8, United-States, <=50K.\n38, Private,32989, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,197382, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n35, Private,164526, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Self-emp-inc,153205, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,70, India, >50K.\n40, Private,269168, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, ?, <=50K.\n43, Local-gov,126847, Masters,14, Married-spouse-absent, Prof-specialty, Unmarried, White, Female,7430,0,60, United-States, >50K.\n50, State-gov,211112, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n29, Private,100049, HS-grad,9, Married-spouse-absent, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n48, State-gov,104542, Masters,14, Widowed, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n59, Private,186479, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n22, Private,225272, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,20, United-States, <=50K.\n51, Private,346871, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n29, Private,142712, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n41, Private,46221, Prof-school,15, Never-married, Exec-managerial, Not-in-family, White, Male,4787,0,60, United-States, >50K.\n47, Private,349151, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K.\n31, Private,111883, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K.\n32, Private,46691, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,291789, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,50, United-States, <=50K.\n45, Private,201699, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1628,40, United-States, <=50K.\n24, Federal-gov,219262, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n60, Self-emp-inc,160079, Masters,14, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n58, Private,193374, HS-grad,9, Never-married, Priv-house-serv, Not-in-family, White, Male,0,1719,40, United-States, <=50K.\n37, ?,111268, Assoc-voc,11, Never-married, ?, Own-child, White, Female,0,0,32, United-States, <=50K.\n19, Private,410632, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n35, Local-gov,33943, Some-college,10, Married-civ-spouse, Protective-serv, Husband, Other, Male,0,0,40, United-States, >50K.\n44, Federal-gov,269792, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,43, United-States, <=50K.\n46, Private,153328, Some-college,10, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n47, Private,162859, HS-grad,9, Divorced, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n19, ?,258664, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n80, Private,22406, Bachelors,13, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,65624, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, <=50K.\n43, Private,326232, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n28, Private,363257, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,50, United-States, <=50K.\n35, Private,51700, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,19678, Bachelors,13, Married-AF-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,0,60, Philippines, >50K.\n21, Private,109199, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,15, United-States, <=50K.\n26, State-gov,36741, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n41, Private,347653, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,37514, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n48, Private,355781, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K.\n46, Private,86709, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,45, United-States, <=50K.\n44, Self-emp-not-inc,22933, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Self-emp-inc,83922, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,84, United-States, <=50K.\n27, Federal-gov,182637, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, ?, >50K.\n57, Private,80149, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,40, Germany, >50K.\n60, Self-emp-not-inc,231770, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, >50K.\n60, ?,116746, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Self-emp-not-inc,189759, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n40, Self-emp-inc,46221, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,99999,0,55, United-States, >50K.\n58, State-gov,198145, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,35864, Bachelors,13, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Male,0,0,60, United-States, <=50K.\n44, Federal-gov,259307, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,129007, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,41, United-States, >50K.\n33, Private,169104, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, China, <=50K.\n37, Private,198097, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n21, Local-gov,224640, Assoc-acdm,12, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n17, ?,35603, 11th,7, Never-married, ?, Own-child, White, Female,0,0,16, United-States, <=50K.\n47, Self-emp-not-inc,85982, Masters,14, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female,0,0,60, United-States, <=50K.\n39, Private,230467, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, Germany, <=50K.\n32, Self-emp-not-inc,168782, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K.\n24, Private,142566, 10th,6, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n30, Federal-gov,195337, HS-grad,9, Never-married, Adm-clerical, Unmarried, Other, Female,1506,0,45, United-States, <=50K.\n24, ?,99829, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n40, Private,133456, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,24, United-States, >50K.\n28, Local-gov,133136, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n25, Private,211531, 12th,8, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,243867, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,45, United-States, <=50K.\n47, Local-gov,284871, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n37, Federal-gov,188563, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,1876,40, United-States, <=50K.\n61, Private,173866, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K.\n23, Private,114939, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n30, Private,259425, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n48, Private,59159, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,189439, HS-grad,9, Married-spouse-absent, Other-service, Unmarried, Black, Female,0,0,38, United-States, <=50K.\n56, Private,157786, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K.\n41, Self-emp-inc,289636, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n49, Self-emp-inc,154174, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n56, Private,70857, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,183000, Some-college,10, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, >50K.\n37, Private,123104, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n21, State-gov,254620, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,16, United-States, <=50K.\n33, Local-gov,156464, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n60, Private,124987, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K.\n41, Private,413720, HS-grad,9, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,15, United-States, <=50K.\n33, Private,169886, 12th,8, Separated, Other-service, Unmarried, White, Female,0,0,50, Dominican-Republic, <=50K.\n31, Private,228873, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,110622, Masters,14, Divorced, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,40, South, <=50K.\n31, ?,170513, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,99, United-States, <=50K.\n21, ?,221418, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n65, Private,151287, Masters,14, Separated, Exec-managerial, Not-in-family, Black, Male,0,0,20, United-States, <=50K.\n25, Private,235218, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,111567, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,251603, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n61, Private,136109, 11th,7, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n29, Private,178610, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,21, United-States, <=50K.\n22, Private,192289, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, Puerto-Rico, <=50K.\n30, Private,49325, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, >50K.\n52, Private,229375, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,125791, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n48, Private,75619, HS-grad,9, Divorced, Transport-moving, Other-relative, White, Male,0,0,60, United-States, <=50K.\n60, Private,247483, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n38, Private,289448, Masters,14, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, China, >50K.\n22, ?,122048, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K.\n21, Private,177940, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Self-emp-not-inc,399088, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,1340,45, United-States, <=50K.\n38, Private,108293, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K.\n60, Private,178249, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,1887,40, United-States, >50K.\n24, Local-gov,52262, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,143046, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,99999,0,50, United-States, >50K.\n59, Private,124318, HS-grad,9, Divorced, Exec-managerial, Other-relative, White, Female,0,0,45, United-States, <=50K.\n52, Federal-gov,57855, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n50, Private,355954, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n28, Private,143582, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,40, South, <=50K.\n30, Private,220915, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n43, Private,172025, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,109813, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,3137,0,40, United-States, <=50K.\n45, Private,175600, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n26, Private,389856, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, Mexico, <=50K.\n41, Self-emp-not-inc,167081, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,55, United-States, >50K.\n43, Self-emp-inc,179228, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K.\n23, ?,214542, Bachelors,13, Never-married, ?, Own-child, White, Male,0,0,42, United-States, <=50K.\n31, Private,1210504, 10th,6, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n55, Private,426263, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,146225, 10th,6, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n36, Self-emp-not-inc,240810, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Private,100113, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,2051,40, United-States, <=50K.\n22, Private,214542, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n18, Private,41506, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n24, Private,200121, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n55, Private,199919, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,15, United-States, <=50K.\n22, Private,60668, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Private,208347, 11th,7, Never-married, Machine-op-inspct, Not-in-family, Other, Female,0,0,40, Puerto-Rico, <=50K.\n42, State-gov,184105, Assoc-voc,11, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, >50K.\n27, Private,255979, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Self-emp-inc,251585, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,132222, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n49, Private,164733, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,327902, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,3908,0,50, United-States, <=50K.\n30, Private,262092, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K.\n23, Private,299047, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Self-emp-not-inc,146735, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n43, Private,154568, HS-grad,9, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, >50K.\n37, Private,160916, 7th-8th,4, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, <=50K.\n33, Private,161444, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n32, State-gov,246282, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,2961,0,99, ?, <=50K.\n20, ?,147031, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K.\n42, Private,220531, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,32, United-States, <=50K.\n22, Private,282202, HS-grad,9, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, Mexico, <=50K.\n26, Private,122485, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,4416,0,40, United-States, <=50K.\n32, Private,227012, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n67, Private,116502, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K.\n51, Private,163606, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n18, Private,211413, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,15, United-States, <=50K.\n33, ?,171637, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n57, Self-emp-not-inc,204387, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,10, United-States, >50K.\n24, ?,214542, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n29, Private,70100, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,40, Portugal, <=50K.\n42, Private,96115, Bachelors,13, Separated, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Private,181758, HS-grad,9, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n74, ?,278557, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K.\n34, Federal-gov,168931, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, Other, Female,0,0,40, United-States, >50K.\n27, Private,397962, 10th,6, Married-civ-spouse, Other-service, Wife, Black, Female,0,0,30, United-States, <=50K.\n28, Private,113922, HS-grad,9, Separated, Transport-moving, Own-child, White, Female,0,0,17, United-States, <=50K.\n17, Private,318025, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,20, United-States, <=50K.\n24, Private,287357, 11th,7, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,33219, Assoc-acdm,12, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n81, Self-emp-inc,51646, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,2174,35, United-States, >50K.\n47, Federal-gov,51664, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3908,0,40, United-States, <=50K.\n29, Private,195721, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,255575, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,30, United-States, <=50K.\n31, Private,200835, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K.\n22, ?,140414, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,165579, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n37, Private,38948, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,184685, Some-college,10, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,40, United-States, <=50K.\n23, Private,86939, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n22, Private,215251, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, Germany, <=50K.\n53, Private,151159, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n40, Private,385266, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n68, Self-emp-inc,289349, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,9386,0,70, Germany, >50K.\n19, Private,232060, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n28, Private,290429, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K.\n45, Private,179048, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, ?, >50K.\n57, Self-emp-not-inc,98466, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,16, United-States, <=50K.\n51, Local-gov,142801, Masters,14, Widowed, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, >50K.\n68, Self-emp-inc,119938, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,172186, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,5013,0,40, United-States, <=50K.\n45, Local-gov,198759, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1848,40, United-States, >50K.\n45, State-gov,74305, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n80, Self-emp-inc,120796, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n55, Local-gov,190091, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n23, Private,197286, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, State-gov,129499, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,30875, Bachelors,13, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, >50K.\n45, Self-emp-not-inc,172822, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,3411,0,40, United-States, <=50K.\n34, Private,107417, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Local-gov,226902, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n21, Private,86557, Some-college,10, Never-married, Sales, Other-relative, Other, Female,0,0,30, United-States, <=50K.\n35, Private,98900, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n24, Local-gov,38707, Bachelors,13, Never-married, Transport-moving, Own-child, White, Male,0,0,20, United-States, <=50K.\n39, Private,286730, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n17, Private,221797, 12th,8, Never-married, Adm-clerical, Own-child, White, Female,594,0,20, United-States, <=50K.\n52, ?,175029, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,80, United-States, <=50K.\n49, ?,32184, HS-grad,9, Married-civ-spouse, ?, Wife, White, Female,5013,0,15, United-States, <=50K.\n31, Federal-gov,144949, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Federal-gov,33084, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, >50K.\n30, Private,156464, Some-college,10, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K.\n38, Private,152307, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, >50K.\n32, Private,341954, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,1741,45, ?, <=50K.\n24, Private,235720, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,50, United-States, <=50K.\n47, Private,161187, 12th,8, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n56, Private,90017, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Portugal, <=50K.\n59, Private,192671, 11th,7, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K.\n39, Self-emp-not-inc,102178, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K.\n22, Private,293136, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K.\n17, Local-gov,99568, 10th,6, Never-married, Prof-specialty, Own-child, White, Female,0,0,10, United-States, <=50K.\n66, Self-emp-not-inc,81413, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K.\n39, Private,31053, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n18, Private,31008, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n55, Private,221801, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Federal-gov,76491, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n64, Private,286732, HS-grad,9, Widowed, Sales, Not-in-family, White, Female,0,0,17, United-States, <=50K.\n48, Self-emp-not-inc,196707, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K.\n51, Federal-gov,23698, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,224699, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K.\n22, Private,131291, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,15, United-States, <=50K.\n19, ?,372665, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n44, Private,64506, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n47, Private,139388, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n29, Private,425830, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Private,99146, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n37, State-gov,59200, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n21, Private,37482, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n34, Private,188798, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,32, United-States, <=50K.\n56, Private,100285, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K.\n31, State-gov,228446, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n31, Private,19491, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,2202,0,40, United-States, <=50K.\n28, Private,156967, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Federal-gov,187581, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,48, United-States, >50K.\n56, Private,154490, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n30, Private,101345, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Local-gov,150533, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,46, United-States, <=50K.\n33, Private,93213, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n57, Private,257046, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,421837, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,101593, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n42, Private,122215, HS-grad,9, Widowed, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n49, Private,272780, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,60, Mexico, >50K.\n24, Private,190591, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n30, Private,78374, HS-grad,9, Married-civ-spouse, Sales, Other-relative, Asian-Pac-Islander, Female,0,0,40, ?, <=50K.\n30, ?,121468, Bachelors,13, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,40, Hong, <=50K.\n31, Private,280927, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n25, Private,202480, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,110088, 1st-4th,2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n58, ?,129632, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,4, United-States, <=50K.\n37, Self-emp-not-inc,225860, Assoc-acdm,12, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n25, Private,310545, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,30, El-Salvador, <=50K.\n31, Private,178664, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n46, Self-emp-not-inc,198759, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n20, Private,259301, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n31, Private,234537, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K.\n63, Private,427770, 12th,8, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n19, ?,331702, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, ?,180052, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n54, Private,205337, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K.\n17, Private,236091, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,8, United-States, <=50K.\n40, Private,33895, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, ?,447210, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n27, Private,226441, Bachelors,13, Never-married, Prof-specialty, Other-relative, White, Female,0,0,40, United-States, <=50K.\n41, State-gov,119721, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n32, Self-emp-not-inc,455995, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, >50K.\n35, Private,105813, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n24, ?,350917, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n42, State-gov,191814, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n65, Private,399296, 5th-6th,3, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,20, Mexico, <=50K.\n47, Private,201595, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K.\n41, Private,143003, Masters,14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male,0,1887,45, China, >50K.\n28, Private,74784, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n20, ?,313045, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n22, Private,303781, Some-college,10, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n23, Private,236769, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Self-emp-not-inc,264961, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n59, Private,144962, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n59, Local-gov,435836, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,30, United-States, >50K.\n46, Private,186539, HS-grad,9, Divorced, Craft-repair, Other-relative, White, Male,0,0,48, United-States, >50K.\n23, Private,181796, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n47, Local-gov,398397, Masters,14, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,196280, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Female,0,0,38, United-States, <=50K.\n37, Federal-gov,31670, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Self-emp-inc,65535, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n48, Local-gov,97680, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,10, United-States, >50K.\n57, Self-emp-not-inc,47178, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K.\n24, Self-emp-not-inc,151818, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n40, Private,304530, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,197651, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n64, Private,108054, HS-grad,9, Widowed, Transport-moving, Not-in-family, White, Male,0,0,22, United-States, <=50K.\n44, Private,179666, Some-college,10, Divorced, Transport-moving, Unmarried, White, Male,0,0,35, England, <=50K.\n45, Private,142909, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,231261, 12th,8, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n42, State-gov,119008, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, Black, Female,0,1974,40, United-States, <=50K.\n27, Private,168138, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n54, Private,217850, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K.\n50, Self-emp-not-inc,343242, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n19, ?,167087, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n27, Private,200179, HS-grad,9, Divorced, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n35, Private,172252, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,132879, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K.\n21, Private,240063, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,48, United-States, <=50K.\n19, Private,425816, Some-college,10, Never-married, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n39, Local-gov,167571, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,2885,0,30, United-States, <=50K.\n39, Private,85566, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,123799, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,42, United-States, <=50K.\n28, Private,194690, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,266347, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Private,68268, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Self-emp-inc,145574, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,128666, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,119411, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n38, Private,276552, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n22, ?,305423, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,36, United-States, <=50K.\n38, Federal-gov,104236, Assoc-acdm,12, Divorced, Adm-clerical, Unmarried, White, Female,1471,0,40, United-States, <=50K.\n48, ?,136455, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,16, United-States, <=50K.\n71, Self-emp-not-inc,139889, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,75, United-States, >50K.\n39, Local-gov,102953, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n36, ?,320183, 11th,7, Never-married, ?, Own-child, Black, Male,0,0,24, United-States, <=50K.\n47, Private,83407, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,84, United-States, >50K.\n22, ?,118910, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,43, United-States, <=50K.\n41, Private,99254, Masters,14, Divorced, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n43, State-gov,198766, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n20, Private,191832, 12th,8, Never-married, Other-service, Unmarried, White, Male,0,0,40, ?, <=50K.\n23, Private,146178, HS-grad,9, Separated, Adm-clerical, Other-relative, White, Male,0,0,46, United-States, <=50K.\n35, Private,132879, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,94706, Bachelors,13, Married-spouse-absent, Sales, Unmarried, Asian-Pac-Islander, Male,0,0,40, Laos, <=50K.\n48, Local-gov,273767, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,7688,0,40, United-States, >50K.\n43, Self-emp-not-inc,204235, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n62, ?,181782, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K.\n39, State-gov,144860, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,185832, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K.\n81, Private,55314, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,4, United-States, >50K.\n44, Private,200194, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,339772, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n54, Private,159755, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n24, Private,200207, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n27, Private,31493, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,30, United-States, <=50K.\n31, Private,168981, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K.\n20, Private,201729, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,33, United-States, <=50K.\n30, Self-emp-not-inc,105749, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n56, Federal-gov,101847, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,4064,0,40, United-States, <=50K.\n46, Private,110646, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,56, United-States, <=50K.\n34, Private,139753, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,2174,0,50, United-States, <=50K.\n25, Private,255004, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,30, United-States, <=50K.\n34, Private,341954, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n43, Private,124330, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,46, United-States, <=50K.\n46, Private,64563, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,45, United-States, >50K.\n32, Self-emp-not-inc,29254, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K.\n25, ?,182810, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,1564,37, United-States, >50K.\n33, ?,139051, 11th,7, Separated, ?, Unmarried, Black, Female,0,0,53, United-States, <=50K.\n31, Private,151053, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,34, United-States, <=50K.\n66, Self-emp-inc,45702, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n26, ?,138685, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n37, Private,164193, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n73, Private,109651, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,30, United-States, <=50K.\n30, Private,126364, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, <=50K.\n31, Private,328199, HS-grad,9, Never-married, Tech-support, Not-in-family, White, Female,2354,0,40, United-States, <=50K.\n44, Self-emp-not-inc,180096, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n23, Private,197613, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n35, Private,170195, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n48, Federal-gov,56482, 10th,6, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n53, Private,23686, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,1741,40, United-States, <=50K.\n62, State-gov,200916, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,160261, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,2377,35, Hong, <=50K.\n21, Private,129232, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n22, Local-gov,249727, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n35, State-gov,106448, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n61, Local-gov,313852, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,213722, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, Greece, <=50K.\n29, Private,120645, Assoc-acdm,12, Married-civ-spouse, Tech-support, Wife, Black, Female,0,0,40, United-States, <=50K.\n78, ?,167336, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K.\n21, Self-emp-not-inc,199419, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,50, United-States, <=50K.\n23, Private,132053, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,311570, Assoc-acdm,12, Never-married, Tech-support, Own-child, White, Female,0,0,35, United-States, <=50K.\n30, Private,187203, Bachelors,13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n76, Private,201240, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n51, Private,150999, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n30, Self-emp-not-inc,24961, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Local-gov,152021, 11th,7, Divorced, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K.\n20, Private,374116, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n73, Private,35370, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, >50K.\n38, Private,65291, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,24, United-States, <=50K.\n71, ?,283889, HS-grad,9, Married-spouse-absent, ?, Not-in-family, Black, Male,0,1816,40, United-States, <=50K.\n36, Self-emp-not-inc,48585, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,4, United-States, <=50K.\n26, Private,132661, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n52, Private,267583, 10th,6, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Private,313297, 5th-6th,3, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, Mexico, <=50K.\n66, Private,290578, 7th-8th,4, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,246038, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K.\n42, Federal-gov,125461, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Male,0,323,40, United-States, <=50K.\n56, Self-emp-not-inc,206149, 7th-8th,4, Never-married, Other-service, Unmarried, Black, Female,0,0,58, United-States, <=50K.\n59, Local-gov,205718, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,24, Canada, <=50K.\n37, Private,241153, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,50, United-States, >50K.\n49, Private,186706, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,7688,0,40, United-States, >50K.\n60, Private,216574, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, >50K.\n46, Private,49570, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, State-gov,82161, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,72, United-States, >50K.\n44, Private,191268, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K.\n31, Private,59469, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,197947, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,58, United-States, <=50K.\n35, Private,180131, Bachelors,13, Separated, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K.\n17, Private,156732, 11th,7, Never-married, Other-service, Other-relative, White, Female,0,0,20, United-States, <=50K.\n22, Private,415755, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,228254, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,37, United-States, <=50K.\n28, Self-emp-not-inc,414599, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,21, Guatemala, <=50K.\n35, Private,357173, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n49, ?,111282, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,4386,0,99, United-States, >50K.\n38, Private,174308, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n49, Federal-gov,61885, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n42, Private,123838, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n53, Private,119170, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,1740,40, United-States, <=50K.\n59, Private,219426, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n18, Self-emp-inc,184920, HS-grad,9, Never-married, Farming-fishing, Own-child, White, Male,0,0,25, United-States, <=50K.\n39, Local-gov,187385, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,28, United-States, >50K.\n26, Private,234258, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K.\n24, Private,387663, Some-college,10, Married-spouse-absent, Farming-fishing, Unmarried, White, Female,0,0,40, United-States, <=50K.\n45, Private,151817, Masters,14, Separated, Tech-support, Unmarried, White, Female,0,0,36, United-States, <=50K.\n34, Private,187203, Prof-school,15, Married-civ-spouse, Sales, Husband, White, Male,7688,0,40, United-States, >50K.\n27, Local-gov,67187, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,33, United-States, <=50K.\n48, Private,194526, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n20, Private,73266, Some-college,10, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K.\n49, Self-emp-not-inc,340755, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K.\n26, Private,168552, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, Self-emp-inc,188069, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K.\n27, Private,198587, HS-grad,9, Never-married, Sales, Unmarried, Black, Female,0,0,60, United-States, <=50K.\n21, State-gov,33423, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n40, Federal-gov,190910, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,195963, 7th-8th,4, Never-married, Transport-moving, Not-in-family, Other, Male,0,0,48, Puerto-Rico, <=50K.\n24, Private,345066, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Female,0,0,50, United-States, <=50K.\n43, Private,195258, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,262233, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,47, United-States, <=50K.\n56, Private,78707, 9th,5, Married-civ-spouse, Other-service, Wife, White, Female,4508,0,28, United-States, <=50K.\n53, Self-emp-inc,251240, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,2415,50, United-States, >50K.\n36, Self-emp-not-inc,414056, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Local-gov,174564, 12th,8, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n26, Private,236242, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,1590,40, United-States, <=50K.\n31, Private,31286, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, Private,234476, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,7, United-States, <=50K.\n26, Private,414916, HS-grad,9, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K.\n40, Private,223881, Some-college,10, Divorced, Tech-support, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n21, Private,284651, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n35, Private,38948, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K.\n33, Private,157887, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n59, Private,70796, HS-grad,9, Married-civ-spouse, Priv-house-serv, Wife, Black, Female,0,0,15, United-States, <=50K.\n49, Local-gov,97176, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,47, United-States, <=50K.\n54, Private,146834, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,490645, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,2829,0,42, United-States, <=50K.\n61, State-gov,31577, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n33, Private,145437, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,43, United-States, <=50K.\n36, State-gov,21798, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,15024,0,40, Germany, >50K.\n57, Private,142076, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,40, United-States, >50K.\n22, Private,136230, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n47, Private,184169, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, >50K.\n23, Private,175778, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n46, Local-gov,59174, HS-grad,9, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female,0,0,33, United-States, <=50K.\n49, Private,123713, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n67, ?,222362, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,2, United-States, >50K.\n51, Private,108435, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n21, Private,39182, Assoc-acdm,12, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Local-gov,203051, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,46, United-States, <=50K.\n45, Federal-gov,363418, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n27, Local-gov,113054, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n27, Local-gov,163320, Assoc-acdm,12, Never-married, Protective-serv, Own-child, White, Male,0,0,40, United-States, <=50K.\n34, Private,118710, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n56, Private,170066, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Private,135267, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n24, Private,361278, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n59, Self-emp-not-inc,165867, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,25, United-States, <=50K.\n33, Private,300497, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n49, State-gov,255928, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,27305, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,29933, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n43, Private,265434, 11th,7, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n18, Private,145643, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,9, United-States, <=50K.\n31, ?,162041, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n30, Private,119562, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3942,0,40, United-States, <=50K.\n29, Private,115549, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,2635,0,40, United-States, <=50K.\n50, Private,39590, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,48, United-States, >50K.\n24, Private,97676, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,34973, 11th,7, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,312446, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Federal-gov,88909, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,117381, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, >50K.\n34, Self-emp-inc,513977, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,50, United-States, <=50K.\n38, Federal-gov,39089, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,6849,0,50, United-States, <=50K.\n32, Private,341672, Bachelors,13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male,2174,0,45, Taiwan, <=50K.\n31, Local-gov,400535, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,72, United-States, <=50K.\n34, Self-emp-not-inc,338042, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n49, Private,216734, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n54, Self-emp-not-inc,224207, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Male,6849,0,50, United-States, <=50K.\n58, Private,107897, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n28, Private,205903, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,191754, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n26, Private,216225, Assoc-acdm,12, Married-civ-spouse, Sales, Wife, White, Female,0,0,50, United-States, >50K.\n33, Private,125762, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,201062, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, Black, Female,0,0,40, Jamaica, <=50K.\n53, Local-gov,25820, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K.\n33, Private,553405, Assoc-voc,11, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Federal-gov,78022, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,207631, 5th-6th,3, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,52, Mexico, <=50K.\n35, Private,203988, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n47, Private,122194, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K.\n17, Private,318918, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,30, United-States, <=50K.\n55, Self-emp-inc,264453, Assoc-voc,11, Divorced, Exec-managerial, Unmarried, White, Male,0,0,30, United-States, <=50K.\n28, Self-emp-not-inc,183523, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n46, Self-emp-not-inc,98881, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n18, Private,184101, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,6, United-States, <=50K.\n43, Local-gov,135056, HS-grad,9, Separated, Adm-clerical, Other-relative, White, Female,0,0,35, United-States, <=50K.\n60, Self-emp-not-inc,71457, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,4508,0,8, United-States, <=50K.\n55, Self-emp-not-inc,96459, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1887,70, United-States, >50K.\n52, Private,134184, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,2597,0,36, United-States, <=50K.\n40, Private,153132, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,31, United-States, <=50K.\n52, Private,173991, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, <=50K.\n27, Federal-gov,96219, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K.\n44, Private,152744, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n56, Private,182142, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Private,48915, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,24126, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Local-gov,263984, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, Puerto-Rico, <=50K.\n42, Local-gov,118261, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K.\n63, Private,106141, 7th-8th,4, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n48, State-gov,355320, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,15, Germany, >50K.\n19, ?,497414, 7th-8th,4, Never-married, ?, Not-in-family, White, Female,0,0,35, Mexico, <=50K.\n41, Private,118915, Bachelors,13, Separated, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n17, Private,75885, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K.\n26, State-gov,93806, Some-college,10, Never-married, Adm-clerical, Other-relative, White, Male,0,0,25, United-States, <=50K.\n33, Local-gov,255058, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Male,0,2339,40, United-States, <=50K.\n41, Private,120277, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,120046, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,25, United-States, <=50K.\n26, Private,209384, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n35, Local-gov,742903, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-inc,147869, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n21, ?,208117, 10th,6, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n64, Private,268965, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,22, United-States, <=50K.\n32, Private,41210, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,128378, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K.\n22, Private,131291, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n35, Private,187046, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n53, Private,221672, 12th,8, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Self-emp-not-inc,70100, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,80, United-States, <=50K.\n23, Private,199586, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n45, Private,243743, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n20, State-gov,375931, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K.\n42, Private,139012, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Vietnam, >50K.\n45, Private,167617, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n77, Private,88269, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,0,20, United-States, <=50K.\n32, Private,70377, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,431745, Some-college,10, Never-married, Other-service, Not-in-family, Black, Female,0,0,10, United-States, <=50K.\n32, Private,72967, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, >50K.\n41, Private,174373, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K.\n42, Private,145178, HS-grad,9, Separated, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n23, ?,138938, HS-grad,9, Married-civ-spouse, ?, Own-child, White, Female,0,0,3, United-States, <=50K.\n26, Local-gov,113948, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,0,0,48, United-States, <=50K.\n66, Private,135446, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,43711, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n40, Private,137304, Bachelors,13, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,65, United-States, <=50K.\n21, Private,180690, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n40, Private,135384, HS-grad,9, Separated, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n48, Private,178137, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,44, United-States, <=50K.\n62, Self-emp-not-inc,113440, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,40, United-States, >50K.\n45, Private,110243, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n42, Self-emp-inc,165981, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K.\n20, Private,246635, Some-college,10, Never-married, Sales, Own-child, White, Female,2597,0,20, United-States, <=50K.\n30, Private,553405, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n59, Private,137506, 9th,5, Widowed, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n22, Private,313730, Assoc-acdm,12, Never-married, Farming-fishing, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n23, Federal-gov,102684, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n55, Private,265579, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,2354,0,40, United-States, <=50K.\n58, Private,101338, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Greece, >50K.\n67, Private,188903, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,231919, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n38, ?,139770, Masters,14, Married-civ-spouse, ?, Wife, White, Female,0,0,48, United-States, >50K.\n37, Private,253006, Some-college,10, Separated, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n34, Private,258425, Assoc-voc,11, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Male,2597,0,45, United-States, <=50K.\n49, Private,168837, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n46, Private,177536, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,60, United-States, <=50K.\n29, Private,168524, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Self-emp-inc,108551, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K.\n38, Self-emp-not-inc,180477, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, >50K.\n58, Self-emp-not-inc,162970, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n43, Private,104196, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, <=50K.\n34, Private,329288, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,4386,0,55, United-States, >50K.\n59, Self-emp-not-inc,39398, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,42, United-States, <=50K.\n33, Private,70240, Some-college,10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n17, Private,153021, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,6, United-States, <=50K.\n29, Local-gov,152461, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,171892, Assoc-acdm,12, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,42, United-States, <=50K.\n45, Private,128141, 11th,7, Separated, Tech-support, Unmarried, White, Female,0,0,40, Puerto-Rico, <=50K.\n68, Private,182574, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,991,0,29, United-States, <=50K.\n33, Local-gov,189145, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n49, Self-emp-inc,218835, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n46, Local-gov,132994, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,7688,0,40, United-States, >50K.\n54, Private,83103, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,67, United-States, <=50K.\n31, Private,198103, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n25, ?,177812, Bachelors,13, Never-married, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-inc,144154, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Female,0,0,80, United-States, <=50K.\n56, Private,169086, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, ?, >50K.\n36, Private,140854, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, Portugal, <=50K.\n20, ?,218875, Some-college,10, Never-married, ?, Other-relative, White, Female,0,0,20, United-States, <=50K.\n35, Self-emp-not-inc,187589, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,7, United-States, <=50K.\n36, Private,112271, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,1902,40, United-States, >50K.\n27, Private,199118, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K.\n46, Private,178642, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female,0,0,40, United-States, >50K.\n34, Private,113708, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,59, United-States, >50K.\n29, Federal-gov,185670, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,303187, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,44, ?, >50K.\n49, Private,209739, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K.\n52, Self-emp-not-inc,155278, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,119422, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Local-gov,326292, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n35, Private,212512, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n37, Private,33440, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, State-gov,185180, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n46, Self-emp-not-inc,504941, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n42, Private,192014, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,24, United-States, <=50K.\n48, Self-emp-inc,192755, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, Canada, >50K.\n59, Private,220896, Prof-school,15, Divorced, Other-service, Not-in-family, White, Male,27828,0,60, United-States, >50K.\n22, Private,189832, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n38, Private,235638, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n39, Private,134367, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Female,0,0,43, United-States, <=50K.\n41, Private,171231, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Peru, <=50K.\n19, Private,253529, 12th,8, Never-married, Adm-clerical, Own-child, White, Male,0,0,9, United-States, <=50K.\n47, State-gov,210557, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Private,362835, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n55, Private,186479, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n37, State-gov,115360, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n29, Private,184806, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n34, Self-emp-not-inc,450141, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,35, United-States, >50K.\n41, Private,200479, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Private,152493, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,60, United-States, <=50K.\n29, Private,135791, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,50, Cuba, >50K.\n37, Self-emp-not-inc,50096, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n55, Private,173832, Masters,14, Divorced, Sales, Not-in-family, White, Male,10520,0,40, United-States, >50K.\n52, Private,224198, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,45, United-States, <=50K.\n57, Private,111553, 9th,5, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n67, Private,191380, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,34242, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n58, Private,100054, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1902,70, United-States, >50K.\n62, Private,110103, HS-grad,9, Widowed, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n40, Private,196626, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, >50K.\n66, ?,194480, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,2377,2, United-States, >50K.\n26, Private,190040, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n42, Private,152629, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n18, Federal-gov,263162, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n34, Private,205581, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n50, Private,155434, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,415922, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Other, Male,0,0,32, United-States, <=50K.\n42, Local-gov,221581, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,135089, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,56, United-States, <=50K.\n47, Private,117774, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Portugal, <=50K.\n46, Private,206707, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,315640, Masters,14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,45, Iran, >50K.\n52, Private,210736, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,50, United-States, >50K.\n23, Local-gov,456665, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,133935, Some-college,10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Private,106982, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,70, United-States, <=50K.\n35, Private,126569, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n31, State-gov,209954, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, State-gov,46401, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,410216, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,410509, HS-grad,9, Divorced, Handlers-cleaners, Unmarried, White, Male,0,0,40, United-States, <=50K.\n22, Private,382199, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,84130, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,243380, Masters,14, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n31, Private,329635, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K.\n20, ?,265434, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K.\n23, Private,241752, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,172579, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K.\n48, Local-gov,121179, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,52, United-States, <=50K.\n46, Private,76131, 5th-6th,3, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K.\n57, Private,138777, Bachelors,13, Married-civ-spouse, Protective-serv, Wife, White, Female,0,0,45, Germany, >50K.\n44, State-gov,195212, Masters,14, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,52, United-States, <=50K.\n20, Private,315135, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,15, United-States, <=50K.\n44, Private,248406, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,283314, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,40, ?, >50K.\n29, Private,231601, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n71, Self-emp-not-inc,126807, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1411,70, United-States, <=50K.\n31, Private,198513, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n37, Private,162651, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Columbia, <=50K.\n90, Private,197613, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, >50K.\n49, Private,184098, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n46, Local-gov,187505, Masters,14, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, ?, <=50K.\n53, Private,174655, 7th-8th,4, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n17, Private,161123, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,32, United-States, <=50K.\n43, Private,390369, 1st-4th,2, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,70, Mexico, <=50K.\n35, Self-emp-not-inc,354520, HS-grad,9, Married-spouse-absent, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,364631, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, Mexico, <=50K.\n35, Private,323120, Assoc-acdm,12, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,44, United-States, >50K.\n58, State-gov,32367, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n88, Private,30102, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,1816,50, ?, <=50K.\n51, Private,229259, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n31, Private,274818, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Self-emp-inc,248476, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n38, Private,98080, Some-college,10, Never-married, Adm-clerical, Other-relative, Other, Male,0,0,40, India, <=50K.\n44, Private,56651, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K.\n43, Private,216411, 1st-4th,2, Never-married, Adm-clerical, Unmarried, White, Female,0,0,30, Dominican-Republic, <=50K.\n31, Private,226443, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,70, United-States, >50K.\n21, Private,119039, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,18, United-States, <=50K.\n25, Private,136277, Bachelors,13, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n52, Local-gov,149508, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n53, Private,449376, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,40, United-States, >50K.\n18, Private,143450, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,20, United-States, <=50K.\n41, Private,227065, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K.\n26, Private,175801, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n29, Private,260346, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n37, Private,54159, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n24, Private,143246, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Female,2597,0,45, United-States, <=50K.\n32, Private,115854, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,41, United-States, <=50K.\n35, Private,138441, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Self-emp-not-inc,149704, 10th,6, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n38, Private,22245, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,104017, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1628,50, United-States, <=50K.\n46, Private,165468, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,181557, Some-college,10, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,35, United-States, <=50K.\n38, Private,220694, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,80, United-States, >50K.\n27, Local-gov,190330, Assoc-voc,11, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, Federal-gov,109209, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n32, Private,187815, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n38, Federal-gov,236648, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n21, Private,53306, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n33, Private,418645, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K.\n27, Private,217530, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,45, Mexico, <=50K.\n19, Private,135066, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n20, Local-gov,38455, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,10, United-States, <=50K.\n37, Self-emp-not-inc,53553, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,75, United-States, <=50K.\n18, Private,117857, 11th,7, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n72, Self-emp-not-inc,379376, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K.\n31, Private,191932, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,0,2258,40, United-States, <=50K.\n33, Private,234067, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n47, Private,348886, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,142490, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n42, ?,155190, Bachelors,13, Married-civ-spouse, ?, Husband, Black, Male,2580,0,8, United-States, <=50K.\n22, Private,176178, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,36, United-States, <=50K.\n53, Private,149220, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Federal-gov,188047, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K.\n36, Private,258102, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,185216, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n61, Private,219701, 12th,8, Divorced, Protective-serv, Not-in-family, White, Male,0,0,37, Cuba, <=50K.\n40, Private,235523, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n35, Private,100375, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,1887,45, United-States, >50K.\n41, Private,24273, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n23, Private,224115, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n41, Private,187795, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,60, United-States, >50K.\n26, Private,161007, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Private,262723, Some-college,10, Never-married, Machine-op-inspct, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n41, Self-emp-not-inc,33474, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n43, Private,167151, Bachelors,13, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,60, United-States, <=50K.\n38, Self-emp-inc,222532, Prof-school,15, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n47, Local-gov,48195, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,72, United-States, <=50K.\n23, Private,89089, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n35, Local-gov,179151, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n42, Self-emp-not-inc,192589, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K.\n24, Private,236149, HS-grad,9, Never-married, Exec-managerial, Own-child, White, Female,0,0,50, United-States, <=50K.\n58, Private,110820, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n22, Private,113464, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Other, Male,0,0,40, Dominican-Republic, <=50K.\n38, Self-emp-not-inc,248929, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n41, Private,257758, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,198660, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,195532, Bachelors,13, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n17, Private,208046, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,16, United-States, <=50K.\n31, Self-emp-inc,72744, HS-grad,9, Divorced, Other-service, Unmarried, White, Male,0,0,30, United-States, <=50K.\n73, ?,65072, 10th,6, Never-married, ?, Not-in-family, White, Male,0,0,12, United-States, <=50K.\n27, Private,313479, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,50, United-States, <=50K.\n57, Private,262681, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n54, State-gov,305319, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,70, United-States, <=50K.\n40, Private,158958, HS-grad,9, Never-married, Priv-house-serv, Other-relative, Black, Female,0,0,40, Honduras, <=50K.\n23, Self-emp-not-inc,47039, Assoc-voc,11, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K.\n36, Private,150057, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n54, State-gov,55861, Assoc-acdm,12, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,39, United-States, <=50K.\n32, Self-emp-inc,225053, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,60, United-States, >50K.\n44, Self-emp-not-inc,136986, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,25, United-States, <=50K.\n36, ?,342480, 11th,7, Never-married, ?, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n30, ?,335124, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n39, Self-emp-not-inc,29874, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,54, United-States, <=50K.\n36, Private,191146, Some-college,10, Divorced, Sales, Unmarried, Black, Female,0,0,38, United-States, <=50K.\n65, Private,154164, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,20051,0,20, ?, >50K.\n43, Private,287008, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,397877, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5013,0,30, United-States, <=50K.\n40, Local-gov,108765, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n23, Private,215251, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n67, Private,132586, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n48, Local-gov,328610, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n59, Private,264048, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, >50K.\n74, ?,98867, 5th-6th,3, Widowed, ?, Not-in-family, Black, Male,0,0,32, United-States, <=50K.\n36, Private,166289, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n19, Private,186328, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Federal-gov,59948, HS-grad,9, Never-married, Prof-specialty, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n41, Private,231793, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n43, Local-gov,487770, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,167536, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,250736, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,99, United-States, <=50K.\n18, ?,197057, 10th,6, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K.\n23, Self-emp-not-inc,448026, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n56, Private,217775, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, >50K.\n22, Federal-gov,154394, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n61, Private,244933, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n22, Private,155362, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,35, United-States, <=50K.\n48, Private,187563, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,54, United-States, >50K.\n61, ?,108398, 11th,7, Widowed, ?, Unmarried, Black, Female,0,0,9, United-States, <=50K.\n30, Private,69235, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, <=50K.\n72, Private,174032, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n31, State-gov,174957, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K.\n71, Self-emp-not-inc,31781, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1510,35, United-States, <=50K.\n49, Private,278322, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n49, Private,144514, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1887,45, United-States, >50K.\n41, Private,255824, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n29, Private,443858, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,114066, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,26, United-States, <=50K.\n30, Private,103860, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,132839, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n51, State-gov,290688, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n45, ?,187439, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,2, United-States, <=50K.\n22, Private,170302, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, White, Male,0,1974,45, United-States, <=50K.\n49, Private,74984, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,94774, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K.\n46, Private,72896, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n55, Self-emp-inc,197749, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1573,44, United-States, <=50K.\n28, Private,182509, Assoc-voc,11, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-inc,233117, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n36, Local-gov,102729, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,172706, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Self-emp-inc,295254, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Local-gov,101426, HS-grad,9, Never-married, Protective-serv, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n75, Private,185603, 10th,6, Widowed, Tech-support, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n53, Private,289620, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, ?, >50K.\n39, Private,179137, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n19, Private,222199, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,10, United-States, <=50K.\n39, Private,320305, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K.\n23, ?,111340, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,1573,40, United-States, <=50K.\n31, Federal-gov,86150, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,5178,0,40, United-States, >50K.\n60, Private,124648, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,38, United-States, <=50K.\n30, Private,175761, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,2580,0,40, United-States, <=50K.\n23, Private,148948, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n42, Private,230355, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, Cuba, <=50K.\n55, State-gov,277203, Some-college,10, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n77, Self-emp-not-inc,176690, 9th,5, Widowed, Other-service, Not-in-family, White, Female,0,0,40, England, <=50K.\n64, Self-emp-inc,119182, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Greece, <=50K.\n35, Private,181353, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n19, Private,311293, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,25, United-States, <=50K.\n17, ?,132962, 12th,8, Never-married, ?, Own-child, Black, Male,0,0,30, United-States, <=50K.\n45, Private,155478, Some-college,10, Divorced, Tech-support, Unmarried, White, Female,0,0,40, United-States, <=50K.\n38, Private,46706, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,20, United-States, <=50K.\n59, Private,142326, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n21, Private,220454, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n45, Private,105779, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K.\n23, Private,362623, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,1573,30, Mexico, <=50K.\n37, Private,115806, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n29, Private,351324, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,32, United-States, <=50K.\n29, Private,131712, 11th,7, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n19, ?,181118, HS-grad,9, Never-married, ?, Own-child, Black, Female,0,0,20, United-States, <=50K.\n19, ?,214087, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n27, Private,181291, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, Italy, <=50K.\n44, Private,146908, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Self-emp-inc,262777, Masters,14, Separated, Exec-managerial, Unmarried, Asian-Pac-Islander, Male,0,0,45, China, <=50K.\n53, Local-gov,394765, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Private,207335, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K.\n23, Private,133712, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,45, United-States, <=50K.\n24, State-gov,105479, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Private,140092, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,53232, Prof-school,15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,55, United-States, >50K.\n57, Private,178154, 10th,6, Widowed, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n25, Private,202203, Bachelors,13, Never-married, Adm-clerical, Unmarried, White, Female,0,0,60, United-States, <=50K.\n50, Private,49340, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Private,106207, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,103064, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Local-gov,79190, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n18, Private,473449, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n48, Private,189498, 11th,7, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n34, Private,149902, Masters,14, Never-married, Other-service, Unmarried, Black, Female,0,0,28, United-States, <=50K.\n44, Private,150098, Some-college,10, Married-civ-spouse, Sales, Husband, Black, Male,0,0,50, United-States, >50K.\n40, Private,100451, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,193094, HS-grad,9, Never-married, Craft-repair, Own-child, White, Female,0,0,48, United-States, <=50K.\n37, Private,202950, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n34, Private,161444, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,39, United-States, <=50K.\n33, Self-emp-not-inc,303867, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K.\n36, Private,143912, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n29, ?,42623, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,32, United-States, <=50K.\n37, ?,145064, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,32, United-States, <=50K.\n53, Private,199287, 9th,5, Never-married, Priv-house-serv, Not-in-family, White, Female,0,0,9, United-States, <=50K.\n48, Private,250733, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n36, Private,372525, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K.\n21, Private,338162, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,37, United-States, <=50K.\n38, Private,154210, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K.\n55, Private,158702, 10th,6, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n29, Private,199118, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, Nicaragua, <=50K.\n59, Private,104455, Some-college,10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,40, Philippines, <=50K.\n42, Self-emp-not-inc,210013, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n22, Private,440934, Some-college,10, Never-married, Sales, Unmarried, White, Male,0,0,40, United-States, <=50K.\n31, Private,375833, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n41, Private,289551, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,7688,0,40, United-States, >50K.\n45, Private,272729, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, State-gov,176185, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Private,155403, HS-grad,9, Divorced, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n47, Federal-gov,239321, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K.\n27, Private,365745, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,20, United-States, <=50K.\n49, Private,107399, HS-grad,9, Separated, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K.\n34, Private,93394, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K.\n34, Self-emp-not-inc,143078, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, Local-gov,283314, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,1977,40, United-States, >50K.\n37, Private,194668, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K.\n27, Private,170301, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n31, Self-emp-inc,162442, Masters,14, Never-married, Sales, Own-child, White, Female,27828,0,40, United-States, >50K.\n24, Private,456430, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K.\n28, Private,337424, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,80, United-States, <=50K.\n27, Private,160291, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, Germany, <=50K.\n41, Private,341204, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n28, Private,148084, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,40, Dominican-Republic, <=50K.\n26, Private,102476, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n17, ?,183161, 12th,8, Never-married, ?, Own-child, White, Female,0,0,8, United-States, <=50K.\n17, Private,160029, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,14, United-States, <=50K.\n70, Self-emp-not-inc,152066, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n57, Private,175942, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, >50K.\n64, Private,387669, 1st-4th,2, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n38, Self-emp-not-inc,179824, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n23, Private,107882, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n18, ?,65249, 12th,8, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n47, Self-emp-not-inc,267879, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,3103,0,50, United-States, >50K.\n54, Private,150999, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,44, United-States, <=50K.\n42, Local-gov,69758, Assoc-acdm,12, Divorced, Protective-serv, Not-in-family, Asian-Pac-Islander, Male,0,0,48, United-States, >50K.\n23, Private,180795, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K.\n28, Private,257283, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n40, Private,196344, 5th-6th,3, Married-civ-spouse, Other-service, Husband, White, Male,0,1672,30, Mexico, <=50K.\n32, Private,155151, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, <=50K.\n35, Self-emp-not-inc,368140, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, >50K.\n17, Private,95079, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n37, ?,254773, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K.\n23, Private,181659, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, ?,215620, HS-grad,9, Never-married, ?, Not-in-family, White, Male,0,0,12, United-States, <=50K.\n29, Private,169104, HS-grad,9, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Male,0,0,75, Thailand, <=50K.\n33, Local-gov,100446, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n46, Private,189680, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n24, Private,376474, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, <=50K.\n44, Private,112494, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, ?,212491, HS-grad,9, Divorced, ?, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n68, Local-gov,254218, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,24, United-States, <=50K.\n34, Private,421200, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K.\n19, Private,426589, HS-grad,9, Married-spouse-absent, Other-service, Own-child, White, Female,0,0,35, United-States, <=50K.\n27, Private,335015, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,65, United-States, <=50K.\n25, Private,78605, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Self-emp-inc,123749, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,90, United-States, <=50K.\n31, Private,245500, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female,0,0,25, ?, <=50K.\n32, Private,226443, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n31, Self-emp-not-inc,150630, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n27, Private,257124, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n36, Private,127865, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,4650,0,25, United-States, <=50K.\n50, Private,27432, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,30, United-States, <=50K.\n31, Private,161765, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n42, Private,42703, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n27, Private,209641, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,93131, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,1055,0,20, China, <=50K.\n46, Private,191821, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,410009, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n37, Private,334291, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,2258,40, United-States, <=50K.\n58, Self-emp-inc,274363, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K.\n17, Private,102456, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K.\n35, State-gov,102268, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K.\n46, Private,220979, Some-college,10, Divorced, Tech-support, Not-in-family, Amer-Indian-Eskimo, Male,13550,0,40, United-States, >50K.\n35, ?,111377, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K.\n36, Private,187847, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,40052, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n21, Private,133375, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,48, United-States, <=50K.\n46, Private,226032, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,16, United-States, >50K.\n27, Private,211032, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,392812, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n34, Federal-gov,174724, Assoc-voc,11, Divorced, Adm-clerical, Own-child, Black, Female,1831,0,40, United-States, <=50K.\n50, Local-gov,363405, Some-college,10, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n19, Private,42750, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n40, Self-emp-not-inc,174112, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,50, United-States, <=50K.\n65, Self-emp-not-inc,326936, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,188069, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, >50K.\n48, Private,366089, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, >50K.\n32, Private,162160, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,114937, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,6849,0,40, United-States, <=50K.\n61, Private,189932, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,30, United-States, <=50K.\n57, Private,168447, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,154210, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Other, Male,0,1902,45, Japan, >50K.\n29, Private,211331, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, Mexico, <=50K.\n57, Private,157749, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n72, Self-emp-inc,84587, 5th-6th,3, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,20, Japan, <=50K.\n27, Private,269246, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,3464,0,45, United-States, <=50K.\n26, Private,305129, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n63, Private,253556, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n58, Self-emp-inc,229116, Prof-school,15, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,70, United-States, >50K.\n45, Private,111381, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, <=50K.\n41, Private,121201, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Local-gov,271836, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,0,50, United-States, >50K.\n47, Private,116641, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,4, France, <=50K.\n37, Private,171524, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, ?, <=50K.\n52, Private,145409, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,174575, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n38, State-gov,149135, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n32, Private,234096, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Local-gov,210973, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n37, Local-gov,269323, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n69, Private,29087, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,6, United-States, <=50K.\n27, Self-emp-not-inc,177831, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Hungary, <=50K.\n39, Self-emp-not-inc,167106, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,72, South, <=50K.\n56, Private,118993, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n26, Private,102875, Assoc-acdm,12, Never-married, Sales, Own-child, White, Female,0,0,40, India, <=50K.\n89, ?,29106, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K.\n32, Private,101103, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K.\n35, Self-emp-not-inc,135020, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,75, United-States, >50K.\n26, Private,182390, 11th,7, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n53, Private,174102, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n19, ?,138153, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K.\n23, Private,162282, Assoc-acdm,12, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n51, Private,280292, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Local-gov,307294, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n57, Private,94156, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,84, United-States, >50K.\n59, ?,199033, 9th,5, Married-civ-spouse, ?, Wife, Black, Female,0,0,32, United-States, <=50K.\n61, Private,57408, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n41, Private,210922, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,55, ?, <=50K.\n20, Private,138994, HS-grad,9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K.\n22, Private,416103, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,50, United-States, <=50K.\n42, Private,166740, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1887,50, United-States, >50K.\n47, Self-emp-inc,139268, 7th-8th,4, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n21, State-gov,165474, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,30, United-States, <=50K.\n37, Private,100316, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n28, ?,49028, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Self-emp-inc,85566, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,65, United-States, <=50K.\n27, Private,58150, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n55, Self-emp-not-inc,376548, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, <=50K.\n20, Private,398166, 11th,7, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K.\n43, Private,86797, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n46, Private,161819, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,25, United-States, <=50K.\n19, Private,187125, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n30, Private,226535, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,4865,0,40, United-States, <=50K.\n23, Self-emp-inc,216889, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K.\n65, Self-emp-not-inc,135517, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,336951, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n44, State-gov,101603, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n32, Local-gov,205931, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,37, United-States, <=50K.\n40, Federal-gov,105119, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n58, Self-emp-not-inc,200316, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n17, Private,132859, 10th,6, Never-married, Other-service, Other-relative, White, Male,0,0,35, United-States, <=50K.\n57, Private,137031, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Local-gov,184975, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Private,165539, HS-grad,9, Never-married, Prof-specialty, Not-in-family, Black, Female,4101,0,40, Jamaica, <=50K.\n26, Private,48099, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, Private,47012, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K.\n60, Local-gov,195409, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,52, United-States, >50K.\n54, Private,20795, HS-grad,9, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, State-gov,484879, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,276087, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K.\n37, Federal-gov,45937, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,48, United-States, >50K.\n48, Federal-gov,102359, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n30, Private,186824, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n20, Private,203914, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K.\n30, Self-emp-not-inc,209808, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n22, Private,228516, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n62, Private,49424, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,5178,0,40, United-States, >50K.\n25, Private,359067, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K.\n55, Self-emp-not-inc,340171, HS-grad,9, Separated, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n19, Private,142037, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K.\n28, Local-gov,157437, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Female,4650,0,48, United-States, <=50K.\n47, State-gov,142287, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n35, State-gov,189794, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n37, Private,258289, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n19, Private,352849, HS-grad,9, Never-married, Sales, Other-relative, Black, Female,0,1719,30, United-States, <=50K.\n37, Private,162322, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,200295, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n26, ?,296372, HS-grad,9, Divorced, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n54, Local-gov,190333, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Self-emp-not-inc,211518, Bachelors,13, Divorced, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n70, Private,264098, 10th,6, Widowed, Transport-moving, Not-in-family, White, Female,2538,0,40, United-States, <=50K.\n43, Private,393762, Some-college,10, Separated, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n49, Local-gov,181970, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-inc,110901, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,55, United-States, >50K.\n21, Private,92863, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n24, Private,111368, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n45, ?,83601, 12th,8, Widowed, ?, Unmarried, White, Female,0,0,70, United-States, <=50K.\n47, Private,164682, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,50, ?, <=50K.\n37, Private,166549, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n24, Private,176566, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,3103,0,40, United-States, >50K.\n18, Private,201613, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,5, United-States, <=50K.\n27, Private,285294, Assoc-acdm,12, Never-married, Adm-clerical, Other-relative, Black, Female,0,0,60, United-States, <=50K.\n75, Private,100301, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n22, Private,120320, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n29, Local-gov,218650, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,339482, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n64, Private,301352, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n41, Local-gov,225978, Assoc-voc,11, Separated, Craft-repair, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n39, Private,337778, Some-college,10, Divorced, Sales, Not-in-family, White, Male,4650,0,40, United-States, <=50K.\n49, Private,241350, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,5178,0,40, United-States, >50K.\n36, Private,266645, 12th,8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,42, United-States, <=50K.\n18, Private,100863, 12th,8, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K.\n55, Local-gov,227386, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n44, Private,315971, Masters,14, Divorced, Other-service, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n20, Private,177287, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n20, Private,169022, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n50, Private,205803, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n22, Federal-gov,277700, Some-college,10, Never-married, Tech-support, Own-child, White, Male,0,0,20, United-States, <=50K.\n24, Self-emp-not-inc,166371, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n20, ?,295763, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n75, Self-emp-inc,152519, Doctorate,16, Widowed, Prof-specialty, Not-in-family, White, Male,25124,0,20, United-States, >50K.\n44, Private,438696, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n41, Self-emp-inc,34266, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K.\n19, Private,136391, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,20, United-States, <=50K.\n38, Private,435638, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,1876,40, United-States, <=50K.\n23, Private,51973, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,50, Japan, <=50K.\n40, Private,109800, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n41, Federal-gov,260761, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Private,109015, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,38, United-States, >50K.\n35, Private,272944, Bachelors,13, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,290498, Preschool,1, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,38, Mexico, <=50K.\n25, Private,176864, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n64, State-gov,169914, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n55, Private,205759, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n63, Private,271075, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,29, United-States, <=50K.\n19, Private,239995, 11th,7, Never-married, Sales, Other-relative, White, Male,0,0,16, United-States, <=50K.\n27, Private,65663, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n20, ?,259865, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,25, Mexico, <=50K.\n42, Self-emp-not-inc,34722, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K.\n37, Private,225821, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1485,40, United-States, >50K.\n39, Private,191503, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n46, ?,110243, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,1977,20, United-States, >50K.\n30, Self-emp-not-inc,227429, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, Yugoslavia, <=50K.\n52, Private,174452, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,209085, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K.\n54, Private,192386, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,38, United-States, >50K.\n19, ?,234877, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n28, Private,320862, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Private,535027, Some-college,10, Never-married, Transport-moving, Unmarried, Black, Male,0,0,15, United-States, <=50K.\n33, Private,137421, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,35, Japan, <=50K.\n46, Private,195727, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,42, United-States, <=50K.\n49, Self-emp-not-inc,163229, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K.\n31, Private,50753, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K.\n49, Private,173503, 12th,8, Divorced, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K.\n17, Federal-gov,29078, 11th,7, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female,0,0,15, United-States, <=50K.\n35, Private,360743, Bachelors,13, Never-married, Adm-clerical, Not-in-family, Black, Male,0,0,55, United-States, <=50K.\n39, Self-emp-inc,142149, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,20, United-States, >50K.\n26, Private,464552, 5th-6th,3, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n59, Private,47444, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,74, United-States, >50K.\n37, Private,24721, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K.\n53, Private,187492, Bachelors,13, Divorced, Craft-repair, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n50, Private,229318, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,50, Trinadad&Tobago, <=50K.\n48, Private,358382, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,52, United-States, <=50K.\n60, State-gov,119832, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,414166, 12th,8, Never-married, Other-service, Own-child, Black, Female,0,0,32, United-States, <=50K.\n35, Private,147638, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, Hong, <=50K.\n26, Self-emp-not-inc,33016, Assoc-voc,11, Divorced, Other-service, Unmarried, White, Female,0,0,55, United-States, <=50K.\n20, ?,386962, 10th,6, Never-married, ?, Own-child, White, Male,0,0,40, Mexico, <=50K.\n32, Private,39248, Bachelors,13, Never-married, Tech-support, Not-in-family, Other, Male,0,0,40, United-States, <=50K.\n69, Private,232683, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,15, France, >50K.\n31, Self-emp-not-inc,55912, 9th,5, Never-married, Craft-repair, Unmarried, White, Male,0,0,47, United-States, <=50K.\n35, Private,113152, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n65, Self-emp-inc,150095, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n63, Private,114424, Some-college,10, Separated, Machine-op-inspct, Other-relative, Black, Female,0,0,37, United-States, <=50K.\n26, ?,408417, Some-college,10, Married-AF-spouse, ?, Husband, Black, Male,0,0,38, United-States, <=50K.\n29, Private,163167, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n48, Private,86009, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n35, Federal-gov,316582, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,7298,0,40, United-States, >50K.\n50, Self-emp-not-inc,165219, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,35, United-States, >50K.\n21, Private,99829, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n47, Private,275095, 9th,5, Widowed, Exec-managerial, Unmarried, White, Female,0,0,50, United-States, <=50K.\n42, Private,167650, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, United-States, <=50K.\n52, Self-emp-not-inc,141820, 10th,6, Divorced, Other-service, Own-child, White, Female,0,0,27, United-States, <=50K.\n29, Private,108253, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Other, Female,0,0,40, United-States, <=50K.\n41, Private,156526, Some-college,10, Separated, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Self-emp-inc,185366, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n43, Self-emp-inc,314739, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,92, United-States, >50K.\n20, Private,336101, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n38, Private,49115, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K.\n35, Self-emp-inc,186488, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, Puerto-Rico, <=50K.\n18, ?,158826, 12th,8, Never-married, ?, Own-child, Black, Female,0,0,15, United-States, <=50K.\n24, Private,218415, 11th,7, Separated, Handlers-cleaners, Other-relative, White, Female,0,0,40, United-States, <=50K.\n27, Private,76978, HS-grad,9, Never-married, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n47, Private,213408, 9th,5, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, Cuba, <=50K.\n44, Private,181265, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n18, Local-gov,242956, 11th,7, Never-married, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K.\n30, Private,226696, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,186932, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,75, United-States, <=50K.\n50, Federal-gov,107079, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,154950, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,48597, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n40, Private,196344, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,45, United-States, >50K.\n37, Self-emp-inc,152414, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K.\n61, Private,222966, 9th,5, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,272671, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n26, Private,235520, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n30, Private,232766, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n40, Private,309990, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,8614,0,60, United-States, >50K.\n40, Private,95639, HS-grad,9, Separated, Handlers-cleaners, Unmarried, Amer-Indian-Eskimo, Male,0,0,45, United-States, <=50K.\n20, ?,177161, HS-grad,9, Never-married, ?, Own-child, Other, Female,0,0,45, United-States, <=50K.\n51, Local-gov,133963, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,35, ?, <=50K.\n45, Self-emp-not-inc,240786, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n44, Local-gov,141186, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,8614,0,35, United-States, >50K.\n65, Private,109221, 7th-8th,4, Widowed, Priv-house-serv, Not-in-family, White, Female,0,3175,60, Puerto-Rico, <=50K.\n29, Private,337953, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,2885,0,40, United-States, <=50K.\n49, State-gov,189762, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K.\n18, ?,40190, 12th,8, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n66, Private,171824, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n48, Private,83545, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,65, United-States, >50K.\n28, Private,142712, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,37, United-States, >50K.\n19, Private,91893, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,24, United-States, <=50K.\n23, Private,443701, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n40, Private,438427, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n53, Self-emp-inc,69372, Doctorate,16, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K.\n49, Private,243190, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, Private,109762, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n22, Private,91189, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K.\n56, Federal-gov,205805, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K.\n48, Local-gov,212050, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n51, Private,152652, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n18, Private,157193, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,30, Italy, <=50K.\n32, Private,36592, 11th,7, Never-married, Farming-fishing, Unmarried, White, Male,0,0,50, United-States, <=50K.\n39, Private,192664, Some-college,10, Divorced, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Federal-gov,99280, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n54, Private,168621, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,127048, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n29, Private,167610, HS-grad,9, Divorced, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n36, Private,108320, HS-grad,9, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n21, Private,369643, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,35, United-States, <=50K.\n27, Private,232388, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,4386,0,40, United-States, >50K.\n28, Private,513719, HS-grad,9, Separated, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, Private,27073, Some-college,10, Never-married, Adm-clerical, Unmarried, Other, Female,0,0,40, United-States, <=50K.\n54, Private,105428, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n36, Private,167284, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n22, Private,320615, 7th-8th,4, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K.\n27, Local-gov,47284, HS-grad,9, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n42, Private,45156, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,166269, Some-college,10, Divorced, Sales, Unmarried, White, Male,0,0,50, United-States, <=50K.\n28, Federal-gov,236418, Some-college,10, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n21, Private,311478, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Black, Male,0,0,45, United-States, <=50K.\n50, Private,256908, Doctorate,16, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n20, Private,256796, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K.\n27, Private,168138, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n23, Private,244413, 12th,8, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,30, Ecuador, <=50K.\n66, ?,52728, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n23, ?,223019, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K.\n23, Private,215443, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,70, United-States, <=50K.\n41, Private,99665, 9th,5, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,80, United-States, <=50K.\n39, Private,243485, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,45, United-States, <=50K.\n38, Private,169872, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,3887,0,45, United-States, <=50K.\n46, Private,116338, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n29, Private,109989, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Private,144401, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K.\n23, Local-gov,199555, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,1590,40, United-States, <=50K.\n33, Self-emp-not-inc,105229, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n31, Private,185216, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n52, Private,155278, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Private,371408, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,47, United-States, <=50K.\n56, Private,177271, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n38, Private,234891, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n21, Private,356286, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n60, ?,225894, Preschool,1, Widowed, ?, Not-in-family, White, Female,0,0,40, Guatemala, <=50K.\n19, Private,181781, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,28, United-States, <=50K.\n23, Private,197756, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,35, United-States, <=50K.\n69, Local-gov,216269, Assoc-acdm,12, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n50, Private,33931, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n46, Private,151584, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, >50K.\n53, Private,286085, Some-college,10, Widowed, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n56, Self-emp-not-inc,111385, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K.\n35, Private,280966, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Private,221178, HS-grad,9, Separated, Other-service, Other-relative, White, Male,0,0,28, United-States, <=50K.\n60, Private,74422, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,44, Mexico, <=50K.\n21, Private,103031, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K.\n46, State-gov,209739, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,38, United-States, <=50K.\n23, State-gov,112137, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Other, Female,0,0,40, Canada, <=50K.\n26, Private,138537, 11th,7, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,50, United-States, <=50K.\n72, Private,135378, 7th-8th,4, Widowed, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n48, Private,175006, 1st-4th,2, Separated, Machine-op-inspct, Other-relative, Black, Male,0,0,48, United-States, <=50K.\n26, Private,182194, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n20, Private,194686, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,15, United-States, <=50K.\n27, Private,70034, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n53, Federal-gov,439263, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, >50K.\n72, Private,74749, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,17, United-States, <=50K.\n26, Private,231638, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n50, Private,197623, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n22, ?,148409, Some-college,10, Never-married, ?, Own-child, White, Male,0,1721,40, United-States, <=50K.\n17, ?,40299, 10th,6, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n46, Self-emp-not-inc,96260, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n47, Self-emp-not-inc,62143, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,15024,0,40, United-States, >50K.\n22, Private,193027, HS-grad,9, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,30, United-States, <=50K.\n24, ?,334105, 11th,7, Never-married, ?, Not-in-family, White, Female,0,0,30, United-States, <=50K.\n46, Private,31411, 11th,7, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, ?, <=50K.\n60, Private,140516, Some-college,10, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Private,155963, 9th,5, Divorced, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K.\n58, Self-emp-not-inc,119891, Masters,14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,35, United-States, >50K.\n32, Private,206609, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n41, Private,425444, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,15024,0,50, United-States, >50K.\n52, Private,114674, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,52, United-States, >50K.\n54, Federal-gov,57679, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n48, Private,213140, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K.\n52, Local-gov,295494, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n46, Private,182862, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,32, United-States, <=50K.\n50, Private,178529, 11th,7, Divorced, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n36, Private,214031, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,80, United-States, <=50K.\n17, Private,350538, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,25, United-States, <=50K.\n29, Private,238073, Some-college,10, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, Columbia, <=50K.\n29, Private,194640, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Self-emp-not-inc,139770, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,30, United-States, >50K.\n21, Private,164177, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n62, Private,99470, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K.\n61, Private,359367, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n72, Local-gov,45612, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, Black, Female,0,0,16, United-States, <=50K.\n33, Private,127651, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n34, Private,193132, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n26, Local-gov,314798, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, >50K.\n33, Private,108438, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n41, Private,165815, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n18, ?,136172, 11th,7, Never-married, ?, Own-child, White, Male,0,0,35, United-States, <=50K.\n24, Private,127159, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,24, ?, <=50K.\n18, ?,220168, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,16, United-States, <=50K.\n55, Private,127677, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n42, Private,119941, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,93699, HS-grad,9, Widowed, Machine-op-inspct, Unmarried, White, Female,0,0,40, United-States, <=50K.\n46, Federal-gov,196649, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K.\n18, Private,332763, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K.\n36, Private,158363, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n38, Private,249039, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,3103,0,40, United-States, >50K.\n39, Private,454585, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,54, Mexico, <=50K.\n31, Private,121321, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n40, Private,229148, HS-grad,9, Divorced, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n18, Private,221284, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,64, United-States, <=50K.\n38, Private,428251, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K.\n47, Self-emp-inc,77660, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K.\n21, Private,139722, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, Puerto-Rico, <=50K.\n33, State-gov,171151, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n51, Private,94819, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K.\n44, Private,214546, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K.\n45, Self-emp-inc,190482, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K.\n22, Private,283029, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,54, United-States, <=50K.\n48, ?,142719, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,48, United-States, >50K.\n40, Private,244172, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n26, Local-gov,120238, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K.\n29, Private,66095, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K.\n46, Private,129232, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K.\n41, Private,44121, Some-college,10, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, <=50K.\n31, Private,243678, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n34, Private,118786, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n39, Self-emp-not-inc,176900, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, United-States, >50K.\n50, Private,155574, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, >50K.\n41, Private,76625, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n18, Private,192254, Some-college,10, Never-married, Sales, Other-relative, White, Female,0,0,15, United-States, <=50K.\n35, Private,238802, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n22, Private,247731, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n18, Private,397606, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n23, ?,370057, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,40, United-States, <=50K.\n62, ?,190873, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,40, United-States, <=50K.\n50, Local-gov,145879, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n52, Private,618130, HS-grad,9, Divorced, Other-service, Own-child, Black, Female,0,0,40, United-States, <=50K.\n24, Private,542762, Bachelors,13, Never-married, Sales, Other-relative, Black, Male,0,0,50, United-States, <=50K.\n31, Private,144124, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n28, Private,190539, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n33, Private,92462, Assoc-acdm,12, Never-married, Sales, Unmarried, Black, Male,0,0,32, United-States, <=50K.\n48, Private,129974, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n62, State-gov,254890, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,261207, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Cuba, >50K.\n39, Self-emp-inc,206362, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,27804, Some-college,10, Divorced, Priv-house-serv, Unmarried, Amer-Indian-Eskimo, Female,0,0,35, United-States, <=50K.\n57, Self-emp-not-inc,771836, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K.\n29, Private,101108, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n49, Private,255466, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K.\n30, Local-gov,204494, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,3137,0,70, Germany, <=50K.\n53, Private,271918, 9th,5, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K.\n17, Private,152619, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n59, Private,107318, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n23, Private,130773, Bachelors,13, Never-married, Exec-managerial, Unmarried, White, Male,0,0,40, United-States, <=50K.\n20, ?,117210, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n48, Private,148549, Assoc-acdm,12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K.\n64, Private,181530, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n37, Private,365739, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K.\n54, Local-gov,182429, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Female,0,0,38, United-States, <=50K.\n41, Private,381510, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,50, United-States, <=50K.\n45, Self-emp-not-inc,116789, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n36, Self-emp-inc,196554, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, >50K.\n27, Private,335878, Assoc-acdm,12, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,45, United-States, <=50K.\n25, Private,184120, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n39, Private,260084, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,24, United-States, <=50K.\n44, Private,160369, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n22, Private,164901, 11th,7, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n21, ?,96844, HS-grad,9, Married-civ-spouse, ?, Other-relative, White, Female,0,0,40, United-States, <=50K.\n56, Private,124566, 5th-6th,3, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n30, Private,473133, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n44, Private,335223, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, >50K.\n53, Private,380086, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,48, United-States, >50K.\n32, Private,198265, 1st-4th,2, Never-married, Exec-managerial, Own-child, White, Male,0,0,21, United-States, <=50K.\n33, ?,32207, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,75, United-States, <=50K.\n60, Private,288684, 5th-6th,3, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,40, United-States, <=50K.\n35, Private,302604, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K.\n58, Private,170290, HS-grad,9, Divorced, Other-service, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n53, Self-emp-inc,195398, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1887,48, Canada, >50K.\n54, Local-gov,256923, Some-college,10, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K.\n26, Private,464552, 9th,5, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,45, Mexico, <=50K.\n27, Private,112754, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,56, United-States, <=50K.\n59, Private,176118, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,7, United-States, >50K.\n63, ?,316627, 10th,6, Married-civ-spouse, ?, Husband, White, Male,0,0,10, United-States, <=50K.\n70, Private,146628, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,3471,0,33, United-States, <=50K.\n26, Private,108822, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K.\n28, Private,208608, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,30, United-States, <=50K.\n22, Private,317019, 11th,7, Separated, Other-service, Unmarried, White, Female,0,0,20, United-States, <=50K.\n24, Private,250978, Some-college,10, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,75, United-States, <=50K.\n46, Private,224559, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K.\n56, State-gov,138593, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,175614, 10th,6, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K.\n24, Private,396099, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,122493, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K.\n53, Local-gov,182677, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male,0,0,50, Philippines, <=50K.\n57, State-gov,247624, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,210458, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, Mexico, <=50K.\n25, Private,91639, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n29, Private,334096, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n21, ?,183945, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,35, United-States, <=50K.\n47, Private,78022, Assoc-acdm,12, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K.\n51, Self-emp-inc,318351, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,1741,40, United-States, <=50K.\n23, Private,233280, Bachelors,13, Divorced, Adm-clerical, Not-in-family, White, Female,8614,0,70, United-States, >50K.\n22, Private,100188, Some-college,10, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K.\n29, Private,85572, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K.\n50, Self-emp-not-inc,61735, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,25, United-States, >50K.\n23, Private,206827, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K.\n21, Private,210053, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n38, Local-gov,172016, Bachelors,13, Divorced, Prof-specialty, Own-child, Black, Female,0,0,40, United-States, <=50K.\n19, ?,138153, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K.\n31, ?,183855, 11th,7, Never-married, ?, Unmarried, White, Female,0,0,20, United-States, <=50K.\n30, Private,188362, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K.\n42, Private,191429, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K.\n52, Private,357596, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K.\n25, Local-gov,278404, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n20, Private,180339, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,35, United-States, <=50K.\n43, Private,355431, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n33, Private,223212, Some-college,10, Never-married, Handlers-cleaners, Other-relative, White, Male,0,0,40, Mexico, <=50K.\n34, Private,116371, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,38, United-States, <=50K.\n41, ?,199018, Some-college,10, Divorced, ?, Not-in-family, White, Male,0,1504,40, United-States, <=50K.\n43, Private,435266, Doctorate,16, Separated, Exec-managerial, Not-in-family, White, Female,14084,0,60, United-States, >50K.\n61, Private,345697, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K.\n49, Private,253973, 10th,6, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n42, ?,191149, Bachelors,13, Married-civ-spouse, ?, Wife, White, Female,0,0,28, United-States, >50K.\n42, Private,197344, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, <=50K.\n23, Private,437161, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n72, ?,94268, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K.\n50, Self-emp-inc,207841, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K.\n34, Private,46492, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n47, State-gov,190325, Some-college,10, Divorced, Tech-support, Unmarried, Black, Female,0,0,48, United-States, <=50K.\n48, Private,158944, HS-grad,9, Widowed, Craft-repair, Not-in-family, White, Female,0,0,60, United-States, >50K.\n37, Private,228598, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,0,40, Mexico, <=50K.\n23, Private,349156, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n17, ?,246974, 12th,8, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K.\n66, Private,386120, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,10605,0,40, United-States, >50K.\n26, Private,220678, 5th-6th,3, Never-married, Handlers-cleaners, Own-child, Black, Female,0,0,40, Dominican-Republic, <=50K.\n41, Private,462964, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Male,2174,0,50, United-States, <=50K.\n19, Private,158603, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,37, United-States, <=50K.\n26, ?,167261, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,15, United-States, <=50K.\n34, Private,412933, 12th,8, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,55, United-States, <=50K.\n59, Local-gov,167027, Some-college,10, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n24, Private,194829, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K.\n47, Private,145636, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,48, United-States, >50K.\n57, ?,123632, Bachelors,13, Never-married, ?, Not-in-family, Black, Female,0,0,35, United-States, <=50K.\n49, Private,27614, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,324854, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n37, Private,22245, Some-college,10, Divorced, Sales, Not-in-family, White, Male,0,0,40, Outlying-US(Guam-USVI-etc), <=50K.\n31, Private,101352, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n39, ?,238721, Bachelors,13, Divorced, ?, Own-child, Black, Female,0,0,40, United-States, <=50K.\n22, Private,289982, 11th,7, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n23, Private,399449, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n39, ?,142804, HS-grad,9, Divorced, ?, Unmarried, White, Female,0,0,16, United-States, <=50K.\n26, Private,121427, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n41, Private,230959, Bachelors,13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K.\n42, Private,191342, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K.\n64, Private,285610, 11th,7, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n25, Private,207369, Some-college,10, Never-married, Exec-managerial, Own-child, White, Female,0,0,40, United-States, <=50K.\n25, Federal-gov,80485, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n41, State-gov,33474, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n45, Private,173658, Some-college,10, Separated, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K.\n36, Local-gov,202207, HS-grad,9, Married-spouse-absent, Protective-serv, Not-in-family, White, Male,0,0,69, Germany, >50K.\n36, Private,174242, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,50, United-States, >50K.\n22, Private,349212, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n17, ?,54978, 7th-8th,4, Never-married, ?, Own-child, White, Female,0,0,15, United-States, <=50K.\n25, State-gov,81993, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,46, United-States, <=50K.\n47, Private,311395, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n18, ?,149017, 12th,8, Never-married, ?, Own-child, White, Male,0,0,10, United-States, <=50K.\n34, Self-emp-not-inc,156532, 7th-8th,4, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n44, Private,53470, Bachelors,13, Divorced, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n27, Private,212578, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1740,40, United-States, <=50K.\n25, Private,227465, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,423605, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, El-Salvador, <=50K.\n48, Private,149337, Assoc-acdm,12, Married-spouse-absent, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K.\n27, State-gov,38353, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n30, Local-gov,325385, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n17, Private,196252, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K.\n35, Private,110538, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, United-States, <=50K.\n75, Private,71385, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n34, Private,178449, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,3103,0,45, United-States, >50K.\n28, Federal-gov,366533, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n38, Private,336326, 11th,7, Never-married, Craft-repair, Unmarried, White, Male,1151,0,40, United-States, <=50K.\n23, Private,335439, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,1741,50, United-States, <=50K.\n40, Private,184471, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n37, Federal-gov,133526, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n18, Private,618808, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n22, Private,408385, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n31, Private,156192, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n39, Private,126569, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n40, Private,300773, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n31, Private,152109, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n19, Private,260275, 11th,7, Separated, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n17, Private,209650, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K.\n73, Private,573446, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,15, United-States, <=50K.\n41, Private,253189, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,200426, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,18, United-States, <=50K.\n24, Private,109667, Masters,14, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K.\n41, ?,173651, Assoc-acdm,12, Married-civ-spouse, ?, Husband, White, Male,0,0,99, United-States, <=50K.\n34, Local-gov,432204, Assoc-acdm,12, Married-civ-spouse, Other-service, Husband, White, Male,0,0,80, United-States, <=50K.\n28, Private,252013, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,45, Japan, <=50K.\n68, ?,461484, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,1648,10, United-States, >50K.\n19, Private,191889, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,25, United-States, <=50K.\n42, Private,112507, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K.\n36, Private,224531, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Poland, >50K.\n24, ?,83783, 7th-8th,4, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K.\n46, Self-emp-not-inc,346783, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,35, Cuba, >50K.\n48, Federal-gov,72896, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Private,171393, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,1740,40, United-States, <=50K.\n27, Private,294931, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, White, Male,0,0,40, Germany, <=50K.\n26, Private,198986, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K.\n19, ?,264767, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K.\n55, Self-emp-not-inc,225623, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K.\n17, ?,48610, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,14, United-States, <=50K.\n57, Private,113974, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n43, Private,334991, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n24, Private,362059, 12th,8, Never-married, Craft-repair, Own-child, White, Male,0,0,32, United-States, <=50K.\n37, Private,389725, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K.\n25, Private,330774, 9th,5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n33, Private,149910, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K.\n49, Self-emp-inc,99401, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, <=50K.\n22, Private,104266, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n21, Private,136440, Some-college,10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female,0,0,15, South, <=50K.\n84, Private,65478, HS-grad,9, Widowed, Priv-house-serv, Not-in-family, White, Female,0,0,40, England, <=50K.\n24, Private,56121, 5th-6th,3, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, Mexico, <=50K.\n44, Private,143939, Some-college,10, Separated, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n44, Private,231853, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,1902,40, United-States, >50K.\n20, Private,267706, HS-grad,9, Never-married, Sales, Unmarried, White, Female,0,0,38, United-States, <=50K.\n37, Private,328301, Some-college,10, Never-married, Tech-support, Unmarried, White, Female,4934,0,60, United-States, >50K.\n30, Private,36340, 11th,7, Divorced, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K.\n19, Private,112780, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n51, Private,113045, Masters,14, Widowed, Exec-managerial, Unmarried, White, Male,15020,0,40, United-States, >50K.\n52, Private,196504, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n50, State-gov,136216, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n34, Local-gov,158242, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,43, United-States, <=50K.\n53, Private,180062, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n39, Private,206888, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n40, Private,77370, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n49, Self-emp-not-inc,349151, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,3411,0,40, United-States, <=50K.\n52, Private,113843, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,45, United-States, <=50K.\n48, State-gov,176917, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K.\n58, ?,226078, 11th,7, Divorced, ?, Unmarried, Black, Female,0,0,32, United-States, <=50K.\n30, Local-gov,177828, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n44, Private,137304, HS-grad,9, Widowed, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n35, Private,138441, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,30840, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n42, Private,149546, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,30, United-States, <=50K.\n29, Private,145182, HS-grad,9, Never-married, Protective-serv, Own-child, Black, Female,0,0,20, United-States, <=50K.\n25, Local-gov,270379, HS-grad,9, Never-married, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n18, Self-emp-inc,378036, 12th,8, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K.\n19, Private,118535, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K.\n19, Private,239057, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n80, Private,107740, HS-grad,9, Widowed, Handlers-cleaners, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n61, Private,194804, Preschool,1, Separated, Transport-moving, Not-in-family, Black, Male,14344,0,40, United-States, >50K.\n46, Self-emp-not-inc,225065, Bachelors,13, Separated, Other-service, Unmarried, White, Female,0,0,45, Nicaragua, <=50K.\n27, Private,165412, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,20, United-States, <=50K.\n26, Private,211199, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n50, State-gov,172962, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Private,190748, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K.\n38, Federal-gov,455379, 12th,8, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,56, United-States, >50K.\n28, Private,112917, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, Other, Male,0,0,40, Mexico, <=50K.\n34, Private,299383, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n36, Private,22245, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n23, Private,49683, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K.\n65, Local-gov,32846, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,2964,0,35, United-States, <=50K.\n35, Private,46947, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n65, Private,165609, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, United-States, <=50K.\n39, Private,226894, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K.\n35, Private,143231, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,44, United-States, >50K.\n33, Private,173730, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n32, Private,259425, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n36, Private,168747, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n18, ?,210652, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,15, United-States, <=50K.\n25, Private,40915, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n32, Private,180303, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,70, South, <=50K.\n49, Private,182541, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,1485,40, United-States, >50K.\n29, Private,67306, HS-grad,9, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K.\n20, ?,38032, HS-grad,9, Never-married, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n44, Federal-gov,257395, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,29261, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n19, Private,205977, Some-college,10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K.\n22, ?,216639, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,1974,40, United-States, <=50K.\n17, Private,134768, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n49, Private,32184, HS-grad,9, Divorced, Sales, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n23, Private,138037, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,1590,50, United-States, <=50K.\n49, Private,174426, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1977,50, United-States, >50K.\n45, Private,50162, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n49, Federal-gov,193998, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,187901, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n56, Private,82050, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,7298,0,40, United-States, >50K.\n18, ?,20057, Some-college,10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,16, United-States, <=50K.\n35, Private,144200, HS-grad,9, Never-married, Handlers-cleaners, Other-relative, Other, Male,0,0,25, Columbia, <=50K.\n80, Self-emp-not-inc,29441, 7th-8th,4, Married-spouse-absent, Farming-fishing, Unmarried, White, Male,0,0,15, United-States, <=50K.\n65, Private,195695, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n51, Private,274502, Some-college,10, Widowed, Other-service, Unmarried, White, Female,0,0,25, United-States, <=50K.\n76, ?,239900, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,3, United-States, <=50K.\n22, Private,191954, Assoc-voc,11, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K.\n33, Private,172304, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n44, Local-gov,174575, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n20, Private,325744, Some-college,10, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K.\n43, Private,26252, Some-college,10, Separated, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,36, United-States, <=50K.\n57, Private,176904, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n37, Self-emp-not-inc,504871, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n28, Self-emp-not-inc,141702, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n30, Private,399088, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,50, United-States, <=50K.\n32, Local-gov,409282, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n59, Private,532969, HS-grad,9, Married-civ-spouse, Other-service, Other-relative, White, Male,0,0,40, Nicaragua, <=50K.\n21, ?,213366, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,38, United-States, <=50K.\n36, Private,188888, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n38, Private,24126, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n61, Self-emp-not-inc,151369, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,30, United-States, >50K.\n18, Private,115759, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n59, Self-emp-inc,171355, Masters,14, Divorced, Prof-specialty, Unmarried, White, Male,0,0,55, United-States, <=50K.\n18, Private,310175, 12th,8, Never-married, Other-service, Own-child, White, Female,0,0,12, United-States, <=50K.\n44, Private,216116, HS-grad,9, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, Jamaica, <=50K.\n23, Private,204141, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K.\n44, Private,212894, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Greece, <=50K.\n49, Private,120121, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,45, United-States, >50K.\n59, Self-emp-not-inc,190997, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,36, United-States, <=50K.\n36, Private,224566, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,99999,0,45, United-States, >50K.\n30, Private,235847, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,24, United-States, <=50K.\n56, ?,124319, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K.\n27, Private,193807, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,1741,40, United-States, <=50K.\n69, Self-emp-not-inc,215926, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,35, United-States, <=50K.\n19, ?,455665, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,44, United-States, <=50K.\n36, Private,36423, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,60, United-States, <=50K.\n42, Private,32878, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,42, United-States, >50K.\n25, Private,96862, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,2174,0,40, United-States, <=50K.\n17, Private,187879, 9th,5, Never-married, Other-service, Not-in-family, White, Male,0,0,50, United-States, <=50K.\n40, Local-gov,36296, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n40, Private,75615, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,43, United-States, <=50K.\n17, Private,168807, 10th,6, Never-married, Other-service, Own-child, White, Male,0,0,25, United-States, <=50K.\n24, State-gov,161783, Bachelors,13, Never-married, Transport-moving, Not-in-family, Black, Male,0,0,40, ?, <=50K.\n40, State-gov,13492, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male,0,0,84, United-States, <=50K.\n65, Private,119769, HS-grad,9, Widowed, Priv-house-serv, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n38, Private,313914, Bachelors,13, Separated, Farming-fishing, Unmarried, White, Female,0,0,45, United-States, <=50K.\n33, Private,172584, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,1590,50, United-States, <=50K.\n28, Private,112425, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n22, Private,157783, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,35, Vietnam, <=50K.\n34, Private,356882, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Private,156852, Assoc-voc,11, Widowed, Tech-support, Unmarried, White, Female,0,0,8, United-States, <=50K.\n63, Self-emp-not-inc,175177, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K.\n28, Private,425127, 9th,5, Married-civ-spouse, Other-service, Other-relative, White, Female,0,0,35, United-States, <=50K.\n30, Local-gov,99761, Assoc-voc,11, Divorced, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K.\n36, Private,272950, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K.\n43, Self-emp-not-inc,174295, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n24, Local-gov,157678, HS-grad,9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female,2036,0,42, United-States, <=50K.\n52, Private,186224, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n17, Private,142587, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,10, United-States, <=50K.\n46, Private,131091, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n43, Self-emp-not-inc,71269, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n54, Private,311551, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Male,0,0,60, United-States, <=50K.\n22, Self-emp-inc,171041, Bachelors,13, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K.\n42, Self-emp-not-inc,140915, HS-grad,9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,0,60, South, <=50K.\n46, Private,41223, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K.\n46, Self-emp-inc,292569, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,7298,0,65, United-States, >50K.\n44, Private,132921, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n59, Self-emp-inc,177271, Prof-school,15, Married-civ-spouse, Exec-managerial, Husband, White, Male,99999,0,84, United-States, >50K.\n58, Self-emp-inc,314482, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K.\n36, Private,310531, 10th,6, Separated, Handlers-cleaners, Unmarried, Black, Male,0,0,40, United-States, <=50K.\n29, Private,145490, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Private,181200, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,1564,40, United-States, >50K.\n29, Private,152951, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, Canada, >50K.\n40, Private,85668, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K.\n30, Private,316606, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,2339,50, United-States, <=50K.\n38, Private,220694, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n24, Private,408585, 7th-8th,4, Married-civ-spouse, Farming-fishing, Own-child, White, Female,0,0,45, Mexico, <=50K.\n42, Federal-gov,36699, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n50, Private,104280, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K.\n29, Private,97254, 11th,7, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Male,4101,0,40, United-States, <=50K.\n35, Private,186420, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,55, United-States, <=50K.\n44, Private,112482, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K.\n54, Private,317733, Doctorate,16, Widowed, Tech-support, Unmarried, White, Male,0,2472,40, United-States, >50K.\n56, Private,235136, 7th-8th,4, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Dominican-Republic, <=50K.\n29, Private,229729, Bachelors,13, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n66, Private,46677, Some-college,10, Widowed, Other-service, Unmarried, Black, Female,0,0,20, United-States, <=50K.\n48, Federal-gov,277946, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n46, Private,263727, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n32, Private,74501, Masters,14, Never-married, Sales, Own-child, White, Female,0,0,50, United-States, <=50K.\n34, Private,143776, Masters,14, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,45, ?, >50K.\n69, Private,179130, HS-grad,9, Divorced, Sales, Other-relative, White, Female,0,0,38, United-States, <=50K.\n23, State-gov,386568, Some-college,10, Separated, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K.\n22, Private,413110, HS-grad,9, Never-married, Other-service, Other-relative, Black, Female,0,0,15, United-States, <=50K.\n45, Private,72618, Assoc-voc,11, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n45, Private,102288, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n47, Self-emp-not-inc,321851, Assoc-voc,11, Separated, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, Private,180871, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n25, Private,124483, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,50, India, <=50K.\n43, Private,72791, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,5178,0,40, United-States, >50K.\n47, State-gov,263215, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,80, United-States, <=50K.\n34, Local-gov,207668, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,41, United-States, >50K.\n30, Private,198953, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Female,0,0,40, United-States, <=50K.\n48, Private,38819, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,75, United-States, <=50K.\n43, Private,107306, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, Canada, <=50K.\n20, Private,161962, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K.\n83, Private,192305, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,20, United-States, <=50K.\n42, Private,449925, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K.\n42, Local-gov,131167, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n30, Local-gov,268482, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n34, State-gov,103642, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1651,40, United-States, <=50K.\n43, Private,201723, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K.\n53, Private,186224, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K.\n39, Self-emp-not-inc,139703, Some-college,10, Never-married, Prof-specialty, Not-in-family, Black, Female,0,0,48, United-States, >50K.\n33, Private,397995, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n52, Private,259323, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n18, State-gov,427515, HS-grad,9, Never-married, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K.\n21, ?,187937, Some-college,10, Never-married, ?, Other-relative, White, Female,0,0,52, United-States, <=50K.\n34, Private,177437, 10th,6, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n32, Private,162442, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K.\n48, Private,83407, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n61, ?,265201, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,14, United-States, <=50K.\n19, Private,109005, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K.\n55, Local-gov,56915, HS-grad,9, Divorced, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Male,0,0,8, United-States, <=50K.\n37, Private,210830, Assoc-voc,11, Divorced, Prof-specialty, Unmarried, White, Female,0,0,38, United-States, <=50K.\n24, Private,194848, Bachelors,13, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Private,109351, Assoc-voc,11, Separated, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n39, Private,105813, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,3908,0,72, United-States, <=50K.\n32, Private,123430, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, <=50K.\n44, Private,105896, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n35, Self-emp-not-inc,135020, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Germany, <=50K.\n27, Private,136077, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,48, United-States, <=50K.\n18, Private,151463, 11th,7, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K.\n43, Private,73333, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,2174,0,40, United-States, <=50K.\n51, Local-gov,43705, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,54, United-States, >50K.\n26, Private,320465, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n23, Private,237811, Some-college,10, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, Trinadad&Tobago, <=50K.\n41, State-gov,190910, HS-grad,9, Married-civ-spouse, Farming-fishing, Other-relative, White, Male,0,0,40, United-States, <=50K.\n33, Self-emp-inc,348326, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K.\n41, Private,163287, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,62, United-States, <=50K.\n31, Private,97723, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K.\n56, State-gov,160383, 10th,6, Widowed, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K.\n39, Federal-gov,263690, Masters,14, Married-civ-spouse, Other-service, Husband, Black, Male,3137,0,40, Trinadad&Tobago, <=50K.\n42, Private,278926, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n33, Private,189017, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,87546, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K.\n23, Local-gov,145112, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,43, United-States, <=50K.\n55, Private,107308, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K.\n79, Local-gov,132668, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,15, United-States, <=50K.\n47, Private,175600, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n51, Private,176608, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, United-States, <=50K.\n37, Private,217054, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n47, Local-gov,244813, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K.\n44, Private,77373, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n41, Private,135823, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n56, Private,174864, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,45, United-States, >50K.\n45, Private,121676, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,36, United-States, >50K.\n38, Private,108140, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K.\n46, Private,185041, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K.\n47, Self-emp-inc,144579, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,90, United-States, <=50K.\n26, Private,143280, HS-grad,9, Never-married, Adm-clerical, Other-relative, White, Female,0,0,40, United-States, <=50K.\n41, Private,242804, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K.\n48, Private,156926, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K.\n55, Self-emp-inc,103948, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K.\n28, Private,249720, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K.\n52, Private,203635, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,65, United-States, >50K.\n31, Private,136721, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n27, Private,114865, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K.\n23, Private,166517, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,96219, Bachelors,13, Never-married, Exec-managerial, Other-relative, White, Female,0,0,40, United-States, <=50K.\n48, Private,236197, 12th,8, Widowed, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male,0,0,40, Guatemala, <=50K.\n39, Private,357118, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,1974,40, United-States, <=50K.\n25, Private,193787, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,45, United-States, <=50K.\n27, Private,607658, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n64, Local-gov,47298, Doctorate,16, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,45, United-States, >50K.\n55, Local-gov,258121, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K.\n46, Private,411037, 10th,6, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K.\n23, Private,228724, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K.\n28, Private,179008, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, <=50K.\n37, Private,422933, Masters,14, Never-married, Exec-managerial, Own-child, White, Male,0,0,40, United-States, >50K.\n27, Private,32452, Masters,14, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,20, United-States, >50K.\n35, Private,54363, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K.\n35, Private,113397, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, Japan, <=50K.\n45, Private,159080, HS-grad,9, Married-civ-spouse, Adm-clerical, Own-child, White, Female,0,0,15, United-States, <=50K.\n59, State-gov,354948, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,40, United-States, >50K.\n31, Private,162572, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K.\n35, Private,108140, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n58, Private,126104, 10th,6, Divorced, Other-service, Unmarried, White, Female,0,0,65, United-States, <=50K.\n41, Private,145522, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n20, Private,61777, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K.\n39, Private,139057, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,38, India, <=50K.\n31, Private,113129, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K.\n27, Private,202062, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Male,0,0,40, United-States, <=50K.\n34, Private,31341, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K.\n32, Private,196125, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K.\n33, Private,44559, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K.\n33, Self-emp-not-inc,202153, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2829,0,40, United-States, <=50K.\n35, Private,238980, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n56, Self-emp-not-inc,156873, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n20, Private,32805, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n68, Self-emp-not-inc,273088, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K.\n43, Self-emp-not-inc,241055, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K.\n25, Private,157028, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K.\n35, Local-gov,304252, Assoc-acdm,12, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, Vietnam, <=50K.\n57, Private,106910, Assoc-voc,11, Divorced, Other-service, Other-relative, Asian-Pac-Islander, Female,0,0,40, Outlying-US(Guam-USVI-etc), <=50K.\n57, Private,127728, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,44, United-States, >50K.\n37, State-gov,178876, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K.\n18, Private,78181, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K.\n21, ?,212661, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K.\n29, Private,288229, HS-grad,9, Married-civ-spouse, Tech-support, Wife, Asian-Pac-Islander, Female,4386,0,45, United-States, >50K.\n24, Private,205883, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n36, Local-gov,268205, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,52, United-States, <=50K.\n23, Private,113735, Some-college,10, Divorced, Adm-clerical, Other-relative, White, Female,0,0,20, United-States, <=50K.\n36, Private,390243, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K.\n52, Private,137984, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K.\n41, Private,160785, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n18, Private,86150, HS-grad,9, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female,0,0,15, United-States, <=50K.\n32, Private,244268, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,48, United-States, <=50K.\n34, Self-emp-inc,177828, HS-grad,9, Divorced, Sales, Unmarried, White, Male,0,0,50, United-States, >50K.\n29, Private,337953, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,36, United-States, <=50K.\n56, Self-emp-not-inc,254711, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,20, United-States, <=50K.\n60, Private,127084, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K.\n19, Private,156618, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,1602,20, United-States, <=50K.\n30, Private,201697, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K.\n50, Self-emp-not-inc,187830, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,27828,0,16, United-States, >50K.\n52, Private,240612, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, Peru, >50K.\n66, Self-emp-not-inc,190160, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,20, United-States, <=50K.\n28, Private,109001, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n35, Local-gov,297322, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, >50K.\n29, Private,335015, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,48, United-States, <=50K.\n50, Private,174964, 7th-8th,4, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K.\n34, Federal-gov,408813, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, >50K.\n37, Private,115332, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, <=50K.\n29, Local-gov,170482, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, Black, Male,0,2057,40, United-States, <=50K.\n34, Private,113688, Some-college,10, Divorced, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K.\n27, Private,133770, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,2202,0,52, Philippines, <=50K.\n57, Private,161964, 12th,8, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n30, Private,34572, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,80, United-States, >50K.\n21, Private,198259, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,30, United-States, <=50K.\n73, ?,144872, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,25, Canada, <=50K.\n57, Private,161944, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,60, United-States, >50K.\n51, Private,29887, Bachelors,13, Divorced, Tech-support, Not-in-family, White, Male,0,1590,40, United-States, <=50K.\n37, Federal-gov,238980, Masters,14, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,42, United-States, <=50K.\n42, Private,275677, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, <=50K.\n32, Private,24529, Assoc-voc,11, Married-civ-spouse, Sales, Husband, White, Male,5178,0,60, United-States, >50K.\n51, Self-emp-not-inc,311631, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K.\n19, Private,105460, 9th,5, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K.\n24, Private,374763, 11th,7, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, Mexico, <=50K.\n25, Private,242136, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K.\n31, Private,112115, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n49, Self-emp-inc,77132, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, Canada, >50K.\n81, ?,26711, Assoc-voc,11, Married-civ-spouse, ?, Husband, White, Male,2936,0,20, United-States, <=50K.\n60, Private,117909, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, United-States, >50K.\n39, Private,229647, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,1669,40, United-States, <=50K.\n38, Private,149347, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K.\n43, Local-gov,23157, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,50, United-States, >50K.\n23, Private,93977, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K.\n73, Self-emp-inc,159691, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K.\n35, Private,176967, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K.\n66, Private,344436, HS-grad,9, Widowed, Sales, Other-relative, White, Female,0,0,8, United-States, <=50K.\n27, Private,430340, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K.\n40, Private,202168, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,55, United-States, >50K.\n51, Private,82720, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n22, Private,269623, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K.\n64, Self-emp-not-inc,136405, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,32, United-States, <=50K.\n50, Local-gov,139347, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, ?, >50K.\n55, Private,224655, HS-grad,9, Separated, Priv-house-serv, Not-in-family, White, Female,0,0,32, United-States, <=50K.\n38, Private,247547, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K.\n58, Private,292710, Assoc-acdm,12, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,36, United-States, <=50K.\n32, Private,173449, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K.\n48, Private,285570, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K.\n61, Private,89686, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, <=50K.\n31, Private,440129, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K.\n25, Private,350977, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K.\n48, Local-gov,349230, Masters,14, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K.\n33, Private,245211, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K.\n39, Private,215419, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,36, United-States, <=50K.\n64, ?,321403, HS-grad,9, Widowed, ?, Other-relative, Black, Male,0,0,40, United-States, <=50K.\n38, Private,374983, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K.\n44, Private,83891, Bachelors,13, Divorced, Adm-clerical, Own-child, Asian-Pac-Islander, Male,5455,0,40, United-States, <=50K.\n35, Self-emp-inc,182148, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K.\n" }, { "path": "DaPy/datasets/example/sample.csv", "content": "A_col,B_col,C_col,D_col\n2017/2/1,2,1.2,TRUE\n2017/2/2,,1.3,TRUE\n2017/2/3,3,1.4,TRUE\n2017/2/4,3,1.5,TRUE\n2017/2/5,5,1.6,FALSE\n2017/2/6,1,1.7,FALSE\n2017/2/7,4,1.8,FALSE\n2017/2/8,,1.9,FALSE\n2017/2/9,,,FALSE\n2017/2/10,2,,FALSE\n2017/2/11,9,2.2,FALSE\n2017/2/12,4,2.3,FALSE\n" }, { "path": "DaPy/datasets/iris/data.csv", "content": "sepal length,sepal width, petal length, petal width,class\n5.1,3.5,1.4,0.2,setosa\n4.9,3,1.4,0.2,setosa\n4.7,3.2,1.3,0.2,setosa\n4.6,3.1,1.5,0.2,setosa\n5,3.6,1.4,0.2,setosa\n5.4,3.9,1.7,0.4,setosa\n4.6,3.4,1.4,0.3,setosa\n5,3.4,1.5,0.2,setosa\n4.4,2.9,1.4,0.2,setosa\n4.9,3.1,1.5,0.1,setosa\n5.4,3.7,1.5,0.2,setosa\n4.8,3.4,1.6,0.2,setosa\n4.8,3,1.4,0.1,setosa\n4.3,3,1.1,0.1,setosa\n5.8,4,1.2,0.2,setosa\n5.7,4.4,1.5,0.4,setosa\n5.4,3.9,1.3,0.4,setosa\n5.1,3.5,1.4,0.3,setosa\n5.7,3.8,1.7,0.3,setosa\n5.1,3.8,1.5,0.3,setosa\n5.4,3.4,1.7,0.2,setosa\n5.1,3.7,1.5,0.4,setosa\n4.6,3.6,1,0.2,setosa\n5.1,3.3,1.7,0.5,setosa\n4.8,3.4,1.9,0.2,setosa\n5,3,1.6,0.2,setosa\n5,3.4,1.6,0.4,setosa\n5.2,3.5,1.5,0.2,setosa\n5.2,3.4,1.4,0.2,setosa\n4.7,3.2,1.6,0.2,setosa\n4.8,3.1,1.6,0.2,setosa\n5.4,3.4,1.5,0.4,setosa\n5.2,4.1,1.5,0.1,setosa\n5.5,4.2,1.4,0.2,setosa\n4.9,3.1,1.5,0.1,setosa\n5,3.2,1.2,0.2,setosa\n5.5,3.5,1.3,0.2,setosa\n4.9,3.1,1.5,0.1,setosa\n4.4,3,1.3,0.2,setosa\n5.1,3.4,1.5,0.2,setosa\n5,3.5,1.3,0.3,setosa\n4.5,2.3,1.3,0.3,setosa\n4.4,3.2,1.3,0.2,setosa\n5,3.5,1.6,0.6,setosa\n5.1,3.8,1.9,0.4,setosa\n4.8,3,1.4,0.3,setosa\n5.1,3.8,1.6,0.2,setosa\n4.6,3.2,1.4,0.2,setosa\n5.3,3.7,1.5,0.2,setosa\n5,3.3,1.4,0.2,setosa\n7,3.2,4.7,1.4,versicolor\n6.4,3.2,4.5,1.5,versicolor\n6.9,3.1,4.9,1.5,versicolor\n5.5,2.3,4,1.3,versicolor\n6.5,2.8,4.6,1.5,versicolor\n5.7,2.8,4.5,1.3,versicolor\n6.3,3.3,4.7,1.6,versicolor\n4.9,2.4,3.3,1,versicolor\n6.6,2.9,4.6,1.3,versicolor\n5.2,2.7,3.9,1.4,versicolor\n5,2,3.5,1,versicolor\n5.9,3,4.2,1.5,versicolor\n6,2.2,4,1,versicolor\n6.1,2.9,4.7,1.4,versicolor\n5.6,2.9,3.6,1.3,versicolor\n6.7,3.1,4.4,1.4,versicolor\n5.6,3,4.5,1.5,versicolor\n5.8,2.7,4.1,1,versicolor\n6.2,2.2,4.5,1.5,versicolor\n5.6,2.5,3.9,1.1,versicolor\n5.9,3.2,4.8,1.8,versicolor\n6.1,2.8,4,1.3,versicolor\n6.3,2.5,4.9,1.5,versicolor\n6.1,2.8,4.7,1.2,versicolor\n6.4,2.9,4.3,1.3,versicolor\n6.6,3,4.4,1.4,versicolor\n6.8,2.8,4.8,1.4,versicolor\n6.7,3,5,1.7,versicolor\n6,2.9,4.5,1.5,versicolor\n5.7,2.6,3.5,1,versicolor\n5.5,2.4,3.8,1.1,versicolor\n5.5,2.4,3.7,1,versicolor\n5.8,2.7,3.9,1.2,versicolor\n6,2.7,5.1,1.6,versicolor\n5.4,3,4.5,1.5,versicolor\n6,3.4,4.5,1.6,versicolor\n6.7,3.1,4.7,1.5,versicolor\n6.3,2.3,4.4,1.3,versicolor\n5.6,3,4.1,1.3,versicolor\n5.5,2.5,4,1.3,versicolor\n5.5,2.6,4.4,1.2,versicolor\n6.1,3,4.6,1.4,versicolor\n5.8,2.6,4,1.2,versicolor\n5,2.3,3.3,1,versicolor\n5.6,2.7,4.2,1.3,versicolor\n5.7,3,4.2,1.2,versicolor\n5.7,2.9,4.2,1.3,versicolor\n6.2,2.9,4.3,1.3,versicolor\n5.1,2.5,3,1.1,versicolor\n5.7,2.8,4.1,1.3,versicolor\n6.3,3.3,6,2.5,virginica\n5.8,2.7,5.1,1.9,virginica\n7.1,3,5.9,2.1,virginica\n6.3,2.9,5.6,1.8,virginica\n6.5,3,5.8,2.2,virginica\n7.6,3,6.6,2.1,virginica\n4.9,2.5,4.5,1.7,virginica\n7.3,2.9,6.3,1.8,virginica\n6.7,2.5,5.8,1.8,virginica\n7.2,3.6,6.1,2.5,virginica\n6.5,3.2,5.1,2,virginica\n6.4,2.7,5.3,1.9,virginica\n6.8,3,5.5,2.1,virginica\n5.7,2.5,5,2,virginica\n5.8,2.8,5.1,2.4,virginica\n6.4,3.2,5.3,2.3,virginica\n6.5,3,5.5,1.8,virginica\n7.7,3.8,6.7,2.2,virginica\n7.7,2.6,6.9,2.3,virginica\n6,2.2,5,1.5,virginica\n6.9,3.2,5.7,2.3,virginica\n5.6,2.8,4.9,2,virginica\n7.7,2.8,6.7,2,virginica\n6.3,2.7,4.9,1.8,virginica\n6.7,3.3,5.7,2.1,virginica\n7.2,3.2,6,1.8,virginica\n6.2,2.8,4.8,1.8,virginica\n6.1,3,4.9,1.8,virginica\n6.4,2.8,5.6,2.1,virginica\n7.2,3,5.8,1.6,virginica\n7.4,2.8,6.1,1.9,virginica\n7.9,3.8,6.4,2,virginica\n6.4,2.8,5.6,2.2,virginica\n6.3,2.8,5.1,1.5,virginica\n6.1,2.6,5.6,1.4,virginica\n7.7,3,6.1,2.3,virginica\n6.3,3.4,5.6,2.4,virginica\n6.4,3.1,5.5,1.8,virginica\n6,3,4.8,1.8,virginica\n6.9,3.1,5.4,2.1,virginica\n6.7,3.1,5.6,2.4,virginica\n6.9,3.1,5.1,2.3,virginica\n5.8,2.7,5.1,1.9,virginica\n6.8,3.2,5.9,2.3,virginica\n6.7,3.3,5.7,2.5,virginica\n6.7,3,5.2,2.3,virginica\n6.3,2.5,5,1.9,virginica\n6.5,3,5.2,2,virginica\n6.2,3.4,5.4,2.3,virginica\n5.9,3,5.1,1.8,virginica\n" }, { "path": "DaPy/datasets/iris/info.txt", "content": "Iris Plants Database\n====================\n\nNotes\n-----\nData Set Characteristics:\n :Number of Instances: 150 (50 in each of three classes)\n :Number of Attributes: 4 numeric, predictive attributes and the class\n :Attribute Information:\n - sepal length in cm\n - sepal width in cm\n - petal length in cm\n - petal width in cm\n - class:\n - Iris-Setosa\n - Iris-Versicolour\n - Iris-Virginica\n :Summary Statistics:\n\n ============== ==== ==== ======= ===== ====================\n Min Max Mean SD Class Correlation\n ============== ==== ==== ======= ===== ====================\n sepal length: 4.3 7.9 5.84 0.83 0.7826\n sepal width: 2.0 4.4 3.05 0.43 -0.4194\n petal length: 1.0 6.9 3.76 1.76 0.9490 (high!)\n petal width: 0.1 2.5 1.20 0.76 0.9565 (high!)\n ============== ==== ==== ======= ===== ====================\n\n :Missing Attribute Values: None\n :Class Distribution: 33.3% for each of 3 classes.\n :Creator: R.A. Fisher\n :Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\n :Date: July, 1988\n\nThis is a copy of UCI ML iris datasets.\nhttp://archive.ics.uci.edu/ml/datasets/Iris\n\nThe famous Iris database, first used by Sir R.A Fisher\n\nThis is perhaps the best known database to be found in the\npattern recognition literature. Fisher's paper is a classic in the field and\nis referenced frequently to this day. (See Duda & Hart, for example.) The\ndata set contains 3 classes of 50 instances each, where each class refers to a\ntype of iris plant. One class is linearly separable from the other 2; the\nlatter are NOT linearly separable from each other.\n\nReferences\n----------\n - Fisher,R.A. \"The use of multiple measurements in taxonomic problems\"\n Annual Eugenics, 7, Part II, 179-188 (1936); also in \"Contributions to\n Mathematical Statistics\" (John Wiley, NY, 1950).\n - Duda,R.O., & Hart,P.E. (1973) Pattern Classification and Scene Analysis.\n (Q327.D83) John Wiley & Sons. ISBN 0-471-22361-1. See page 218.\n - Dasarathy, B.V. (1980) \"Nosing Around the Neighborhood: A New System\n Structure and Classification Rule for Recognition in Partially Exposed\n Environments\". IEEE Transactions on Pattern Analysis and Machine\n Intelligence, Vol. PAMI-2, No. 1, 67-71.\n - Gates, G.W. (1972) \"The Reduced Nearest Neighbor Rule\". IEEE Transactions\n on Information Theory, May 1972, 431-433.\n - See also: 1988 MLC Proceedings, 54-64. Cheeseman et al\"s AUTOCLASS II\n conceptual clustering system finds 3 classes in the data.\n - Many, many more ...\n" }, { "path": "DaPy/datasets/lenses/data.txt", "content": "0\t0\t0\t0\t0\n0\t0\t0\t1\t1\n0\t0\t1\t0\t0\n0\t0\t1\t1\t2\n0\t1\t0\t0\t0\n0\t1\t0\t1\t1\n0\t1\t1\t0\t0\n0\t1\t1\t1\t2\n1\t0\t0\t0\t0\n1\t0\t0\t1\t1\n1\t0\t1\t0\t0\n1\t0\t1\t1\t2\n1\t1\t0\t0\t0\n1\t1\t0\t1\t1\n1\t1\t1\t0\t0\n1\t1\t1\t1\t0\n2\t0\t0\t0\t0\n2\t0\t0\t1\t0\n2\t0\t1\t0\t0\n2\t0\t1\t1\t2\n2\t1\t0\t0\t0\n2\t1\t0\t1\t1\n2\t1\t1\t0\t0\n2\t1\t1\t1\t0\n" }, { "path": "DaPy/datasets/wine/data.csv", "content": "Alcohol,Malic acid,Ash,Alcalinity of ash,Magnesium,Total phenols,Flavanoids,Nonflavanoid phenols,Proanthocyanins,Color 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}, { "path": "DaPy/datasets/wine/info.txt", "content": "Wine Data Database\n====================\n\nNotes\n-----\nData Set Characteristics:\n :Number of Instances: 178 (50 in each of three classes)\n :Number of Attributes: 13 numeric, predictive attributes and the class\n :Attribute Information:\n \t\t- 1) Alcohol\n \t\t- 2) Malic acid\n \t\t- 3) Ash\n\t\t- 4) Alcalinity of ash \n \t\t- 5) Magnesium\n\t\t- 6) Total phenols\n \t\t- 7) Flavanoids\n \t\t- 8) Nonflavanoid phenols\n \t\t- 9) Proanthocyanins\n\t\t- 10)Color intensity\n \t\t- 11)Hue\n \t\t- 12)OD280/OD315 of diluted wines\n \t\t- 13)Proline\n - class_0\n - class_1\n - class_2\n\n :Missing Attribute Values: None\n :Class Distribution: class_0 (59), class_1 (71), class_2 (48)\n :Creator: R.A. Fisher\n :Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\n :Date: July, 1988\n\nThis is a copy of UCI ML Wine recognition datasets.\nhttps://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data\n\nThe data is the results of a chemical analysis of wines grown in the same\nregion in Italy by three different cultivators. There are thirteen different\nmeasurements taken for different constituents found in the three types of\nwine.\n\nOriginal Owners: \n\nForina, M. et al, PARVUS - \nAn Extendible Package for Data Exploration, Classification and Correlation. \nInstitute of Pharmaceutical and Food Analysis and Technologies,\nVia Brigata Salerno, 16147 Genoa, Italy.\n\nCitation:\n\nLichman, M. (2013). UCI Machine Learning Repository\n[http://archive.ics.uci.edu/ml]. Irvine, CA: University of California,\nSchool of Information and Computer Science. \n\nReferences\n----------\n(1) \nS. Aeberhard, D. Coomans and O. de Vel, \nComparison of Classifiers in High Dimensional Settings, \nTech. Rep. no. 92-02, (1992), Dept. of Computer Science and Dept. of \nMathematics and Statistics, James Cook University of North Queensland. \n(Also submitted to Technometrics). \n\nThe data was used with many others for comparing various \nclassifiers. The classes are separable, though only RDA \nhas achieved 100% correct classification. \n(RDA : 100%, QDA 99.4%, LDA 98.9%, 1NN 96.1% (z-transformed data)) \n(All results using the leave-one-out technique) \n\n(2) \nS. Aeberhard, D. Coomans and O. de Vel, \n\"THE CLASSIFICATION PERFORMANCE OF RDA\" \nTech. Rep. no. 92-01, (1992), Dept. of Computer Science and Dept. of \nMathematics and Statistics, James Cook University of North Queensland. \n(Also submitted to Journal of Chemometrics). " }, { "path": "DaPy/doc/Quick Start.md", "content": "## Quick Start\n#### Ⅰ. Loading a dataset\nDaPy comes with a few famous datasets, for examples the **iris** \nand **wine** datasets for classification. \n \nIn the following, we will start a Python shell and then \nload the wine datasets as an example: \n```Python\n>>> from DaPy import machine_learn\n>>> from DaPy import datasets\n>>> wine, info = datasets.wine()\n```\nThis function will return a *DaPy.SeriesSet* structure that holds \nall the data while a description of data will be returned at the \nsame time. \n \nIn general, to load from an external dataset, you can use these \nstatements, please refer to GuideBook for more details:\n```Python\n>>> data = dp.read(file_name)\n```\nIn this case, as a supervised problem, all of the \nindependent variables and dependent variables are stored in the \n*SeriesSet* menber. For instance, the data of the *wine* could be accessed using:\n```Python\n>>> wine\n Alcohol: <14.23, 13.2, 13.16, 14.37, 13.24, ... ,13.71, 13.4, 13.27, 13.17, 14.13>\n Malic acid: <1.71, 1.78, 2.36, 1.95, 2.59, ... ,5.65, 3.91, 4.28, 2.59, 4.1>\n Ash: <2.43, 2.14, 2.67, 2.5, 2.87, ... ,2.45, 2.48, 2.26, 2.37, 2.74>\n Alcalinity of ash: <15.6, 11.2, 18.6, 16.8, 21.0, ... ,20.5, 23.0, 20.0, 20.0, 24.5>\n Magnesium: <127, 100, 101, 113, 118, ... ,95, 102, 120, 120, 96>\n Total phenols: <2.8, 2.65, 2.8, 3.85, 2.8, ... ,1.68, 1.8, 1.59, 1.65, 2.05>\n Flavanoids: <3.06, 2.76, 3.24, 3.49, 2.69, ... ,0.61, 0.75, 0.69, 0.68, 0.76>\nNonflavanoid phenols: <0.28, 0.26, 0.3, 0.24, 0.39, ... ,0.52, 0.43, 0.43, 0.53, 0.56>\n Proanthocyanins: <2.29, 1.28, 2.81, 2.18, 1.82, ... ,1.06, 1.41, 1.35, 1.46, 1.35>\n Color intensity: <5.64, 4.38, 5.68, 7.8, 4.32, ... ,7.7, 7.3, 10.2, 9.3, 9.2>\n Hue: <1.04, 1.05, 1.03, 0.86, 1.04, ... ,0.64, 0.7, 0.59, 0.6, 0.61>\n OD280: <3.92, 3.4, 3.17, 3.45, 2.93, ... ,1.74, 1.56, 1.56, 1.62, 1.6>\n Proline: <1065, 1050, 1185, 1480, 735, ... ,740, 750, 835, 840, 560>\n class_1: <1, 1, 1, 1, 1, ... ,0, 0, 0, 0, 0>\n class_2: <0, 0, 0, 0, 0, ... ,0, 0, 0, 0, 0>\n class_3: <0, 0, 0, 0, 0, ... ,1, 1, 1, 1, 1>\n```\nEvery object of *SeriesSet* will auto concluses some basic information of the \ndataset (number of miss value, number of records & variable names). For exaples, \nyou can browse the dataset of *wine* as:\n```Python\n>>> wine.info\nsheet:data\n==========\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Ln=178 | Col=16\n3. Miss Value: 0 elements\n4. Describe: \n Title | Miss | Min | Max | Mean | Std |Dtype\n----------------------+------+-----+-----+------+------+-----\n Alcohol | 0 | 0.0 | 1.0 | 0.52 | 0.21 | list\n Malic acid | 0 | 0.0 | 1.0 | 0.32 | 0.22 | list\n Ash | 0 | 0.0 | 1.0 | 0.54 | 0.15 | list\n Alcalinity of ash | 0 | 0.0 | 1.0 | 0.46 | 0.17 | list\n Magnesium | 0 | 0 | 1 | 0.01 | 0.07 | list\n Total phenols | 0 | 0.0 | 1.0 | 0.45 | 0.22 | list\n Flavanoids | 0 | 0.0 | 1.0 | 0.36 | 0.21 | list\n Nonflavanoid phenols | 0 | 0.0 | 1.0 | 0.44 | 0.23 | list\n Proanthocyanins | 0 | 0.0 | 1.0 | 0.37 | 0.18 | list\n Color intensity | 0 | 0.0 | 1.0 | 0.32 | 0.20 | list\n Hue | 0 | 0.0 | 1.0 | 0.39 | 0.19 | list\n OD280 | 0 | 0.0 | 1.0 | 0.49 | 0.26 | list\n Proline | 0 | 0 | 1 | 0.01 | 0.07 | list\n class_1 | 0 | 0 | 1 | 0.33 | 0.47 | list\n class_2 | 0 | 0 | 1 | 0.40 | 0.49 | list\n class_3 | 0 | 0 | 1 | 0.27 | 0.45 | list\n=============================================================\n```\n#### Ⅱ. Preparing data\nBefore we start a machine learning subject, we should process our \ndata so that the data can meet the requirements of the models. \n \nBy just accessed our data we found that our dataset is arrangement \nby class. For supporting a balance proportion of the training data, we can \nmass our data with *shuffles()*. In addition, for the reason that \nthe dimensional difference between variables is significant, which \nwe found in scanning data, we suppose to normalize the data:\n```Python\n>>> wine.shuffles()\n>>> wine.normalized()\n```\nAfter disrupting the data, we should separte our data according to the \ntarget variables and feature variables: \n```Python\n>>> feature, target = wine[:'Proline'], wine['class_1':] # contains the target\n```\n#### Ⅲ. Learning and predicting\nIn the case of the wine dataset, the task is to predict, given a new record, \nwhich class it represents. We are given samples of each of the 3 possible classes on \nwhich we fit an estimator to be able to predict the classes to which unseen samples belong. \n \nIn DaPy, an example of an estimator is the class DaPy.MLP that \nimplements *mutilayer perceptrons*: \n```Python\n>>> mlp = dp.MLP()\n>>> mlp.create(input_cell=13, output_cell=3)\n - Create structure: 13 - 12 - 3\n```\nWe call our estimator instance mlp, as it is a multilayer perceptrons. \nIt now must be trained to the model, that is, it must learn from the \nknown dataset. As a training set, let us use 142 records from our \ndataset apart in 80% of total. We select this training set with the\n[:142] Python syntax, which produces a new SeriesSet that contains \n80% records of total: \n```Python\n>>> mlp.train(feature[:142], target[:142])\n - Start Training...\n - Initial Error: 150.55 %\n Completed: 10.00 \tRemain Time: 1.32 s\tError: 11.82%\n Completed: 20.00 \tRemain Time: 1.37 s\tError: 8.37%\n Completed: 29.99 \tRemain Time: 1.26 s\tError: 6.64%\n Completed: 39.99 \tRemain Time: 1.11 s\tError: 5.59%\n Completed: 49.99 \tRemain Time: 0.94 s\tError: 4.88%\n Completed: 59.99 \tRemain Time: 0.72 s\tError: 4.36%\n Completed: 69.99 \tRemain Time: 0.54 s\tError: 3.96%\n Completed: 79.98 \tRemain Time: 0.36 s\tError: 3.65%\n Completed: 89.98 \tRemain Time: 0.18 s\tError: 3.39%\n Completed: 99.98 \tRemain Time: 0.00 s\tError: 3.18%\n - Total Spent: 2.0 s\tError: 3.1763 %\n```\n ![Page Not Found](https://github.com/JacksonWuxs/DaPy/blob/master/doc/material/QuickStartResult.png 'Result of Training') \n \nNow, *mlp* has been trained. It should be attention that the *Error* \nin last line does not means the correct proportion of classfication, \ninstead that it means the absolutely error of the target vector. \n \nLet us use our model to classifier the left records in wine dataset, \nwhich we have not used to train the estimator:\n```Python\n>>> mlp.test(feature[142:], target[142:])\n'Classification Correct: 97.2222%'\n```\nAs you can see, our model has a satisfactory ability in classification. \n#### Ⅳ. Postscript\nIn order to save time in the next task by using a ready-made model, \nit is possible to save our model in a file:\n```Python\n>>> mlp.topkl('First_mlp.pkl')\n```\nIn a real working environment, you can quickly use your trained \nmodel to predict a new record as:\n```Python\n>>> import DaPy as dp\n>>> mlp = machine_learn.MLP()\n>>> mlp.readpkl('First_mlp.pkl')\n>>> mlp.predict(My_new_data)\n```\n" }, { "path": "DaPy/doc/Quick Start_Chinese.md", "content": "## 快速开始\n#### Ⅰ. 加载数据集\nDaPy自带了少量著名的数据集，比如用于分类问题的**红酒分类**和**鸢尾花**数据集。\n接下来，我们首先启动一个Python Shell并加载作为例子的红酒数据集：\n```Python\n>>> from DaPy import datasets\n>>> from DaPy import machine_learn\n>>> wine, info = datasets.wine()\n```\n这个函数会返回一个内部由*DaPy.SeriesSet*结构包装的数据集，同时还会返回一个\n数据集的官方简介。\n \n一般来说，如果要加载一个外部的数据集，你可以通过如下的语法：\n```Python\n>>> data = dp.read(file_name)\n```\n本例中，作为一个监督学习问题，所有的自变量和因变量都被包含在了一个*SeriesSet*结构中。\n为此，我们可以通过如下的方式观察*红酒*数据集的信息。\n```Python\n>>> wine\n Alcohol: <14.23, 13.2, 13.16, 14.37, 13.24, ... ,13.71, 13.4, 13.27, 13.17, 14.13>\n Malic acid: <1.71, 1.78, 2.36, 1.95, 2.59, ... ,5.65, 3.91, 4.28, 2.59, 4.1>\n Ash: <2.43, 2.14, 2.67, 2.5, 2.87, ... ,2.45, 2.48, 2.26, 2.37, 2.74>\n Alcalinity of ash: <15.6, 11.2, 18.6, 16.8, 21.0, ... ,20.5, 23.0, 20.0, 20.0, 24.5>\n Magnesium: <127, 100, 101, 113, 118, ... ,95, 102, 120, 120, 96>\n Total phenols: <2.8, 2.65, 2.8, 3.85, 2.8, ... ,1.68, 1.8, 1.59, 1.65, 2.05>\n Flavanoids: <3.06, 2.76, 3.24, 3.49, 2.69, ... ,0.61, 0.75, 0.69, 0.68, 0.76>\nNonflavanoid phenols: <0.28, 0.26, 0.3, 0.24, 0.39, ... ,0.52, 0.43, 0.43, 0.53, 0.56>\n Proanthocyanins: <2.29, 1.28, 2.81, 2.18, 1.82, ... ,1.06, 1.41, 1.35, 1.46, 1.35>\n Color intensity: <5.64, 4.38, 5.68, 7.8, 4.32, ... ,7.7, 7.3, 10.2, 9.3, 9.2>\n Hue: <1.04, 1.05, 1.03, 0.86, 1.04, ... ,0.64, 0.7, 0.59, 0.6, 0.61>\n OD280: <3.92, 3.4, 3.17, 3.45, 2.93, ... ,1.74, 1.56, 1.56, 1.62, 1.6>\n Proline: <1065, 1050, 1185, 1480, 735, ... ,740, 750, 835, 840, 560>\n class_1: <1, 1, 1, 1, 1, ... ,0, 0, 0, 0, 0>\n class_2: <0, 0, 0, 0, 0, ... ,0, 0, 0, 0, 0>\n class_3: <0, 0, 0, 0, 0, ... ,1, 1, 1, 1, 1>\n```\n每一个*SeriesSet*对象都会自动地统计一些基本的数据集信息（缺失值、均值等）。例如，你可以通过如下的方式浏览数据集：\n```Python\n>>> wine.info\nsheet:data\n==========\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Ln=178 | Col=16\n3. Miss Value: 0 elements\n4. Describe: \n Title | Miss | Min | Max | Mean | Std |Dtype\n----------------------+------+-------+-------+--------+--------+-----\n Alcohol | 0 | 11.03 | 14.83 | 13.00 | 0.81 | list\n Malic acid | 0 | 0.74 | 5.8 | 2.34 | 1.12 | list\n Ash | 0 | 1.36 | 3.23 | 2.37 | 0.27 | list\n Alcalinity of ash | 0 | 10.6 | 30.0 | 19.49 | 3.34 | list\n Magnesium | 0 | 70 | 162 | 99.74 | 14.28 | list\n Total phenols | 0 | 0.98 | 3.88 | 2.30 | 0.63 | list\n Flavanoids | 0 | 0.34 | 5.08 | 2.03 | 1.00 | list\n Nonflavanoid phenols | 0 | 0.13 | 0.66 | 0.36 | 0.12 | list\n Proanthocyanins | 0 | 0.41 | 3.58 | 1.59 | 0.57 | list\n Color intensity | 0 | 1.28 | 13.0 | 5.06 | 2.32 | list\n Hue | 0 | 0.48 | 1.71 | 0.96 | 0.23 | list\n OD280 | 0 | 1.27 | 4.0 | 2.61 | 0.71 | list\n Proline | 0 | 278 | 1680 | 746.89 | 314.91 | list\n class_1 | 0 | 0 | 1 | 0.33 | 0.47 | list\n class_2 | 0 | 0 | 1 | 0.40 | 0.49 | list\n class_3 | 0 | 0 | 1 | 0.27 | 0.45 | list\n=====================================================================\n```\n#### Ⅱ. 预处理数据\n在我们开始一个机器学习对象之前，为了能让数据符合模型的要求，我们需要进行预处理操作。 \n \n在刚刚观察数据集时我们发现原始的数据集按照“类”变量被排序好了。为了我们能提供一个\n平衡样本的训练集，我们可以通过*shuffles()*函数打乱我们的数据集。另外，在我们浏览\n数据集时还发现，不同变量之间的量纲差异显著，因此我们认为进行标准化处理会更好：\n```Python\n>>> wine.shuffles()\n>>> wine.normalized()\n```\n在打乱数据集后，我们要将目标变量和特征变量分离：\n```Python\n>>> target = wine.pop_col('class_1', 'class_2', 'class_3')\n```\n#### Ⅲ. 学习和预测\n在*红酒分类*数据集中，我们的任务是给定一个新的纪录，预测它属于哪一个类。我们为每一个可能的类\n都提供了相应的已有记录来训练分类器，以此分类器便能分辨出那些它未曾见过的样本了。 \n \n在DaPy中，一个常用的分类器是来自于DaPy.multilayer_perseptron类中实现的多层感知机模型：\n```Python\n>>> mlp = machine_learn.MLP()\n>>> mlp.create(input_cell=13, output_cell=3)\n - Create structure: 13 - 7 - 3\n```\n因为模型叫做multilayer perceptron，因此我们将该分类器称为mlp。现在我们需要训练模型，\n也就是我们必须让他从数据集中学习。我们使用142条记录（总数的80%）来作为训练集。我们通过\n[:142]这种非常Pythonic的语法来提取我们的数据：\n```Python\n>>> mlp.train(feature[:142], target[:142])\n - Start Training...\n - Initial Error: 152.02 %\n Completed: 10.00 \tRemain Time: 3.38 s\tError: 12.22%\n Completed: 20.00 \tRemain Time: 2.34 s\tError: 8.61%\n Completed: 29.99 \tRemain Time: 1.77 s\tError: 6.88%\n Completed: 39.99 \tRemain Time: 1.27 s\tError: 5.82%\n Completed: 49.99 \tRemain Time: 1.05 s\tError: 5.10%\n Completed: 59.99 \tRemain Time: 0.84 s\tError: 4.56%\n Completed: 69.99 \tRemain Time: 0.62 s\tError: 4.15%\n Completed: 79.98 \tRemain Time: 0.41 s\tError: 3.82%\n Completed: 89.98 \tRemain Time: 0.19 s\tError: 3.55%\n Completed: 99.98 \tRemain Time: 0.00 s\tError: 3.33%\n - Total Spent: 2.0 s\tError: 3.3268 %\n```\n ![Page Not Found](https://github.com/JacksonWuxs/DaPy/blob/master/doc/material/QuickStartResult.png 'Result of Training') \n \n现在，*mlp*已经训练好了。值得注意的是，最后一行中的*Errors*并不意味着分类的正确率，\n而是它与目标向量的绝对误差。 \n\n让我们用我们的模型去分类那些红酒数据集中剩余的它不曾接触过的数据：\n```Python\n>>> mlp.test(feature[142:], target[142:])\n'Classification Correct: 94.4444%'\n```\n正如你们所见到的，我们的模型具备了一定的分类能力。\n#### Ⅳ. 后记\n为了能在下一次任务中快速地调用训练好的模型，DaPy中支持了模型的保存方法：\n```Python\n>>> mlp.topkl('First_mlp.pkl')\n```\n在一次正式的工作中，你可以通过如下方式快速地使用训练好的模型预测新的案例：\n```Python\n>>> mlp = machine_learn.MLP()\n>>> mlp.readpkl('First_mlp.pkl')\n>>> mlp.predict(My_new_data)\n```\n" }, { "path": "DaPy/doc/README.md", "content": "DaPy - don't limit your mind by syntax\n====\n![](https://img.shields.io/badge/Version-1.3.3-green.svg) ![](https://img.shields.io/badge/Download-PyPi-green.svg) ![](https://img.shields.io/badge/License-GNU-blue.svg) \n\nAs a data analysis and processing library based on the origion data structures in Python, **DaPy** is not only committed to saving the time of data scientists and improving the efficiency of research, but also try it best to offer you a new experience in data science.\n\n[Installation](#installation) | [Features](#features) | [Quick Start](https://github.com/JacksonWuxs/DaPy/blob/master/Quick%20Start.md ) | [To Do List](#todo) | [Version Log](#version-log) | [License](#license) | [中文版](https://github.com/JacksonWuxs/DaPy/blob/master/README_Chinese.md)\n\n## Installation\nThe Latest version 1.3.3 had been upload to PyPi.\n```\npip install DaPy\n```\nUpdating your last version to 1.3.3 with PyPi as follow.\n```\npip install -U DaPy\n```\n\n## Features\n#### Ⅰ. Comfortable Experience\nSince the very beginning, we have designed DaPy to Python's \nnative data structures as much as possible and we try to make \nit support more Python syntax habits. Therefore you can \nadapt to DaPy quickly. In addition, we do our best to simplify\nthe formulas or functions in it in order to let users \nimplement their ideas fluently. \n \n \nSorting records obeyed different arranging orders is a \ncommon way to help you recognize your dataset. In this case,\nDaPy supports you set up more than one conditions to arrangement \nyour dataset. \n```Pyton\n data.sort(('A_col', 'DESC'), ('B_col', 'ASC'), ('D_col', 'DESC'))\n ```\n \n#### Ⅱ. Efficiency  \nWe have testified the performance of DaPy in three fields \n(load data, sort data & traverse data), \nthose were most useful functions to a data processing library.\nIn contrast with those packages written by C programe languages,\nDaPy showed an amazing efficiency in testing. In all subjects of\ntest, DaPy just spends less than twice time as long as the \nfastest C language library. \n \n \nWe tested DaPy on the platform with\nIntel i7-6560U while the Python version is 2.7.13-64Bit. The \ndataset (https://pan.baidu.com/s/1kK3_V8XbbVim4urDkKyI8A)\nhas more than 4.5 million records and total size is \n240.2 MB. \n\n\n\n\t\n\t\n\t\n\t \n\n\n\t\n\t\n\t\n\t\n\n\n\t\n\t\n\t\n\t\n\n\n\t\n\t\n\t\n\t\n\t\n\n\t\n\t\n\t\n\t\n\t\n\n\t\n\t\n\t\n\t\n\t\n
Result of TestingDaPyPandasNumpy
Loading Time29.3s (2.4x)12.3s (1.0x)169.0s (13.7x)
Traverse Time0.34s (1.6x)3.10s (14.8x)0.21s (1.0x)
Sort Time1.41s (1.65x)0.86s (1.0x)5.37s (10.1x)
Total Spent25.4s (1.5x)17.4s (1.0x)174.6s (10.0x)
Version1.3.30.22.01.14.0
\n\n\n## TODO \n* Descriptive Statistics\n* Inferential statistics\n* Feature Engineering\n\t- PCA (Principal Component Analysis)\n\t- LDA (Linear Discriminant Analysis)\n\t- MIC (Maximal information coefficient)\n* Algorithm\n\t- SVM ( Support Vector Machine)\n\t- K-Means\n\t- Lasso Regression \n\n## Version-Log\n* V1.3.3 (2018-06-20)\n\t- Added more external data file: Excel, SPSS, SQLite3, CSV;\n\t- Added `Linear Regression` and `ANOVA` to DaPy.Mathematical_statistics;\n\t- Added `DaPy.io.encode()` for better adepted to Chinese;\n\t- Replaced read_col(), read_frame(), read_matrix() by read();\n\t- Optimized the DaPy.Matrix so that the speed in calculating is two times faster;\n\t- Expreesed SeriesSet and Frame in more beautiful way;\n\t- Refactored the DaPy.DataSet, which can manage multiple sheets at the same time;\n\t- Refactored the DaPy.Frame and DaPy.SeriesSet, delete the attribute limitation of types.\n\t- Removed DaPy.Table;\n* V1.3.2 (2018-04-26)\n\t- Increased the efficiency of loading data significantly;\n\t- Added more useful functions for DaPy.DataSet;\n\t- Added a new data structure called DaPy.Matrix;\n\t- Added some mathematic formulas (e.g. corr, dot, exp);\n\t- Added `Multi-Layers Perceptrons` to DaPy.machine_learn;\n\t- Added some standard dataset.\n* V1.3.1 (2018-03-19)\n\t- Fixed some bugs in the loading data function;\n\t- Added the function which supports to save data as a file.\n* V1.2.5 (2018-03-15)\n\t- First version of DaPy!\n\n## License\nCopyright (C) 2018 Xuansheng Wu\n
\nThis program is free software: you can redistribute it and/or modify\nit under the terms of the GNU General Public License as published by\nthe Free Software Foundation, either version 3 of the License, or\n(at your option) any later version.
\n
\nThis program is distributed in the hope that it will be useful,\nbut WITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\nGNU General Public License for more details.
\n
\nYou should have received a copy of the GNU General Public License\nalong with this program. If not, see https:\\\\www.gnu.org\\licenses.# datapy\nA light Python library for data processing and analysing.
\n" }, { "path": "DaPy/doc/README_Chinese.md", "content": "DaPy - 别让语法束缚了思想\n====\n![](https://img.shields.io/badge/Version-1.3.3-green.svg) ![](https://img.shields.io/badge/Download-PyPi-green.svg) ![](https://img.shields.io/badge/License-GNU-blue.svg) \n\n作为一个基于Python原生数据结构搭建的数据分析和数据挖掘库，**DaPy**致力于节约数据科学家的时间并提高他们的研究效率，同时它也在尽其所能为他们提供更舒适和流畅的操作体验。\n\n[安装](#安装) | [特性](#特性) | [快速开始](https://github.com/JacksonWuxs/DaPy/blob/master/快速开始.md) | [远期规划](#远期规划) | [更新日志](#更新日志) | [版权归属](#版权归属) | [English](https://github.com/JacksonWuxs/DaPy/blob/master/README.md)\n\n## 安装\n最新版本1.3.3已上传至PyPi。\n```\npip install DaPy\n``` \n\n用下面的代码将DaPy更新至1.3.3版本。\n```\npip install -U DaPy\n```\n\n## 特性\n#### Ⅰ. 舒适的体验\n 从设计之初，我们就尽可能地让DaPy使用更多Python原生的数据结构，并\n让他能支持更多Pythonic的写法特性。因此，你可以快速地适应何使用DaPy\n中的数据结构和操作。另外，为了能让用户更流畅地实现他们的想法，我们尽可能\n简化了DaPy中的公式或方法参数。 \n \n 按照不同的字段及标准排序记录是了解数据集的常用方式。在这个功能中，DaPy支持\n你使用多个不同的排序要求进行排序。 \n```Pyton\n data.sort(('A_col', 'DESC'), ('B_col', 'ASC'), ('D_col', 'DESC'))\n ```\n \n#### Ⅱ. 高效性 \n我们在数据处理库中最常用的三个操作（加载数据、排序数据和遍历数据）测试\n了DaPy的性能水平。相较于其他使用C语言优化的库，DaPy在测试中表现出了惊人的\n效率。在所有的测试项目中，DaPy始终保持着与最快的C语言优化的库2倍内的耗时。 \n\n我们在搭载Intel i7-6560U处理器的平台上，通过64位2.7.13版本的Python进行了测试。\n测试数据集(https://pan.baidu.com/s/1kK3_V8XbbVim4urDkKyI8A) 包含多达\n450万条记录，并且总的大小为240.2MB。\n\n\n\n\t\n\t\n\t\n\t \n\n\n\t\n\t\n\t\n \n\n\n\t\n\t\n\n\t\n\n\n\t\n\t\n\t\n\t\n\t\n\n\t\n\t\n\t\n\t\n\t\n\n\t\n\t\n\t\n\t\n\t\n
测试结果DaPyPandasNumpy
加载数据 29.3s (2.4x) 12.3s (1.0x)169.0s (13.7x)
遍历数据0.34s (1.6x)3.10s (14.8x)0.21s (1.0x)
排序数据1.41s (1.65x)0.86s (1.0x)5.37s (10.1x)
总耗时31.1s (1.8x)17.4s (1.0x)174.6s (10.0x)
版本信息1.3.30.22.01.14.0
\n\n\n## 远期规划  \n* 描述性统计\n* 推断性统计\n* 特征工程\n\t- 主成分分析\n\t- LDA (Linear Discriminant Analysis)\n\t- MIC (Maximal information coefficient)\n* 模型\n \t- 朴素贝叶斯\n\t- 支持向量机\n\t- K-Means\n\t- Lasso Regression \n\n## 更新日志\n* V1.3.3 (2018-06-20)\n\t- 添加 外部数据文件读取能力拓展: Excel, SPSS, SQLite3, CSV;\n\t- 重构 DaPy架构, 提高了远期拓展能力;\n\t- 重构 DaPy.DataSet类, 一个DataSet实例可以批量管理多个数据表;\n\t- 重构 DaPy.Frame类, 删除了格式验证, 适配更多类型的数据集;\n\t- 重构 DaPy.SeriesSet类, 删除了格式验证, 适配更多类型的数据集;\n\t- 移除 DaPy.Table类;\n\t- 优化 DaPy.Matrix类, 效率提升接近2倍;\n\t- 优化 DaPy.Frame 及 Data.SeriesSet类的展示, 数据呈现更为清晰美观;\n\t- 添加 `线性回归`及`方差分析`至DaPy.mathematical_statistics;\n\t- 添加 DaPy.io.encode()函数, 更好地适配中文数据;\n\t- 替换 read_col(), read_frame(), read_matrix() 为 read()函数;\n\n* V1.3.2 (2018-04-26)\n\t- 优化 数据加载的效率;\n\t- 添加 更多实用的功能到DaPy.DataSet中;\n\t- 添加 新的数据结构DaPy.Matrix,支持常规的矩阵运算;\n\t- 添加 常用描述数据的函数 (例如： corr, dot, exp);\n\t- 添加 `支持向量机`至DaPy.machine_learn;\n\t- 添加 一些标准数据集.\n\t\n* V1.3.1 (2018-03-19)\n\t- 修复 在加载数据及中的bug;\n\t- 添加 支持保存数据集的功能.\n\t\n* V1.2.5 (2018-03-15)\n\t- DaPy的第一个版本！\n\n## 版权归属\nCopyright (C) 2018 Xuansheng Wu\n
\nThis program is free software: you can redistribute it and/or modify\nit under the terms of the GNU General Public License as published by\nthe Free Software Foundation, either version 3 of the License, or\n(at your option) any later version.
\n
\nThis program is distributed in the hope that it will be useful,\nbut WITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\nGNU General Public License for more details.
\n
\nYou should have received a copy of the GNU General Public License\nalong with this program. If not, see https:\\\\www.gnu.org\\licenses.# datapy\nA light Python library for data processing and analysing.
\n" }, { "path": "DaPy/io.py", "content": "from os import path\n\n__all__ = ['read', 'save', 'encode']\n\n\ndef read(addr, dtype='col', **kward):\n '''dp.read('file.xlsx') -> return DataSet object\n more info on help(dp.DataSet.read)\n '''\n from .core import DataSet\n data = DataSet()\n data.log = kward.get('log', True)\n temp = data.read(addr, dtype, **kward)\n if temp is not None:\n return temp\n return data\n\ndef save(addr, data, **kward):\n '''dp.save('file.xlsx', [1,2,3,4]) -> save dataset into file\n more info on help(dp.DataSet.save)\n '''\n from .core import DataSet\n if not isinstance(data, DataSet):\n data = DataSet(data, sheet=kward.get('sheet', 'sheet0'))\n data.save(addr, **kward)\n\ndef encode(code='cp936'):\n '''change the python environment encode\n '''\n import sys\n if sys.version_info.major == 2:\n stdi, stdo, stde = sys.stdin, sys.stdout, sys.stderr\n reload(sys)\n sys.stdin, sys.stdout, sys.stderr = stdi, stdo, stde\n from sys import setdefaultencoding\n setdefaultencoding(code)\n\n\n" }, { "path": "DaPy/matlib.py", "content": "from array import array\nfrom .core import Matrix, SeriesSet, Series\nfrom .core import nan, inf\nfrom .core import range, filter, zip, range\nfrom .core import is_math, is_seq, is_iter, is_value\nfrom .core.base import STR_TYPE\nfrom .core.base.IndexArray import SortedIndex\nfrom collections import namedtuple, deque, Iterable, deque, Counter\nfrom itertools import repeat, chain\nfrom warnings import warn\nfrom functools import reduce\nfrom math import sqrt, exp as math_exp\n \n__all__ = ['dot', 'multiply', 'exp', 'zeros', 'ones', 'C', 'P',\n 'cov', 'corr', 'frequency', 'quantiles', '_sum', '_max',\n 'distribution','describe', 'mean', 'diag', 'log']\n\ndef P(n, k):\n '''\"k\" is for permutation numbers.\n A permutation is an ordered sequence of elements selected from a given\n finite set, without repetitions, and not necessarily using all elements \n of the given set.\n\n Formula\n -------\n n!\n P(n, k) = ----------\n (n - k)!\n '''\n if k == 0 or n == k:\n return 1\n upper = reduce(multiply, range(1, 1+n))\n down = reduce(multiply, range(1, 1+ n - k))\n return float(upper / down)\n\ndef C(n, k):\n '''\"C\" is for combination numbers.\n A combination number is an un-ordered collection of distinct elements,\n usually of a prescribed size and taken from a given set.\n\n Formula\n -------\n n!\n C(n, k) = -----------\n k!(n - k)!\n '''\n if k == 0 or n == k:\n return 1\n upper = reduce(multiply, range(1, 1+n))\n left = reduce(multiply, range(1, 1+k))\n right = reduce(multiply, range(1, 1+ n - k))\n return float(upper / (left * right))\n\ndef add(m1, m2):\n if hasattr(m1, '__add__'):\n return m1 + m2\n\n if is_seq(m1):\n return Matrix(m1) + m2\n\n raise TypeError('add() expectes elements which can add.')\n\ndef _abs(data):\n if hasattr(data, 'shape'):\n new = [0] * data.shape[0]\n if hasattr(data, 'tolist'):\n data = data.tolist()\n for i, line in enumerate(data):\n try:\n new[i] = Series(map(abs, line))\n except TypeError:\n new[i] = abs(line)\n return Matrix(new)\n \n if is_math(data):\n return abs(data)\n\n if is_iter(data):\n return Series(map(_abs, data))\n\n raise TypeError('expects an iterable or numeric for exp(), got %s'%type(other))\n\ndef sign(x):\n '''sign([-2, -3, 2, 2, 1]) -> [-1, -1, 1, 1, 1])'''\n if not hasattr(x, '__abs__') or not hasattr(x, '__div__'):\n x = Matrix(x)\n return x / abs(x)\n\ndef multiply(m1, m2):\n if is_math(m1) and is_math(m2):\n return m1 * m2\n if isinstance(m1, Matrix) or isinstance(m2, Matrix):\n return m1 * m2\n return Matrix(m1) * m2\n \ndef dot(matrix_1, matrix_2):\n if hasattr(matrix_1, 'dot'):\n return matrix_1.dot(matrix_2)\n\n try:\n col_size_1 = len(matrix_1[0])\n col_size_2 = len(matrix_2[0])\n line_size_1 = len(matrix_1)\n line_size_2 = len(matrix_2)\n columns = None\n except TypeError:\n raise TypeError('unsupported operation dot(), with type'+\\\n ' %s and ,' % type(matrix_1) +\\\n '%s.' % type(matrix_2))\n \n if col_size_1 != line_size_2:\n raise ValueError('shapes (%d, %d) '%(line_size_1, col_size_1)+\\\n 'and (%d, %d) not aligned.'%(line_size_2, col_size_2))\n \n new_ = list()\n for i in range(line_size_1):\n new_line = list()\n for pos in range(col_size_2):\n sumup = sum(matrix_1[i][j]*matrix_2[j][pos]\n for j in range(col_size_1))\n new_line.append(sumup)\n new_.append(new_line)\n return Matrix(new_)\n\ndef exp(other):\n if hasattr(other, 'shape'):\n new = [0] * other.shape[0]\n for i, line in enumerate(other):\n new[i] = map(math_exp, line)\n return Matrix(new)\n \n if is_math(other):\n return math_exp(other)\n\n if is_iter(other):\n new_ = list()\n for item in other:\n new_.append(exp(item))\n return new_\n\n raise TypeError('expects an iterable or numeric for exp(), got %s'%type(other))\n\ndef create_mat(shape, num):\n return Matrix().make(shape[0], shape[1], num)\n\ndef cumsum(series):\n series, new = Series(series), Series()\n init = 0\n for value in series:\n init += value\n new.append(init)\n return new\n\ndef count(df, value, axis=None):\n assert axis in (None, 0, 1)\n if axis == None:\n if hasattr(container, 'count'):\n return container.count(value)\n if axis == 1:\n if hasattr(container, 'count'):\n return c\n\ndef zeros(shape):\n return create_mat(shape, 0)\n\ndef ones(shape):\n return create_mat(shape, 1)\n\ndef diag(values):\n return Matrix().make_eye(len(values), values)\n\ndef diff(seq, lag=1):\n return Series(seq).diff(lag)\n\ndef log(data, base=2.71828183):\n if is_seq(data):\n if is_seq(data[0]):\n return [map(log, record, [base] * len(record)) for record in data]\n return list(map(log, data, [base] * len(data)))\n return math.log(data, base)\n\ndef boxcox(value, lambda_=1, a=0, k=1):\n if lambda_ == 0:\n return log(value)\n return ((value + a) ** lambda_ - 1) / (k + lambda_)\n\ndef _sum(data, axis=None):\n '''Sum of sequence elements.\n\n Parameters\n ----------\n data : array_like\n elements to sum.\n\n axis : None, 0, 1\n determine how to summary this data.\n None - summary all elements into one value,\n 0 - summary the elements in each variable,\n 1 - summary the elements in each record.\n\n Return\n ------\n Sum : float or int\n a number of sum.\n\n Examples\n --------\n >>> dp.sum([0.5, 1.5])\n 2.0\n >>> dp.sum([[0.5, 0.7],\n [0.2, 1.5]])\n 2.9\n >>> dp.sum([[0, 1],\n [0, 5]], axis=0) # sum of each record\n [1, 5]\n >>> dp.sum([[0, 1],\n [0, 5]], axis=1) # sum of each variable\n [0, 6]\n '''\n if hasattr(data, 'sum'):\n return data.sum(axis)\n\n if is_math(data):\n return data\n \n if is_iter(data) and not is_seq(data):\n data = tuple(data)\n \n if axis is None:\n if any(map(is_value, data)) is False:\n return _sum(map(_sum, data))\n return sum(data)\n \n if axis == 1:\n return Matrix(map(sum, data)).T\n\n if axis == 0:\n return _sum([line for line in zip(*data)], axis=1)\n\ndef _max(data, axis=None):\n data = SeriesSet(data)\n if axis is None:\n return max(map(max, data))\n if axis == 0:\n return map(max, data.values())\n if axis == 1:\n return map(max, data)\n\ndef median(data):\n '''median value of sequence data'''\n sub_lenth = len(data) // 2 + 1\n sort_data = sorted(data)\n med = sort_data[sub_lenth]\n if len(data) % 2 == 0:\n return (med + sort_data[sub_lenth + 1]) / 2.0\n return med\n\ndef mean(data, axis=None):\n '''average of sequence elements.\n\n Parameters\n ----------\n data : array_like\n elements to average.\n\n axis : None, 0, 1\n determine how to summary this data.\n None - average value of all elements into one value,\n 0 - average value of the elements in each variable,\n 1 - average value of the elements in each record.\n\n Return\n ------\n number : number or numbers in list\n the mean of data\n\n Examples\n --------\n >>> a = [[1, 2], [3, 4]]\n >>> dp.mean(a)\n 2.5\n >>> dp.mean([[0.5, 0.7],\n [0.2, 1.5]])\n 0.725\n >>> dp.mean([[0, 1],\n [0, 5]], axis=1) # mean of each record\n [0.5, 2.5]\n >>> dp.mean([[0, 1],\n [0, 5]], axis=0) # mean of each variable\n [0.0, 3.0]\n '''\n if axis is None:\n if hasattr(data, 'shape'):\n return float(_sum(data, None)) / _sum(data.shape)\n if is_seq(data) or isinstance(data, Series):\n if is_seq(data[0]):\n return float(_sum(data, axis)) / (len(data[0]) + len(data))\n return float(_sum(data, axis)) / len(data)\n\n if hasattr(data, 'shape'):\n size = float(data.shape[axis])\n elif axis == 1:\n size = float(len(data))\n else:\n size = float(len(data[0]))\n \n result = Matrix([value / size for value in _sum(data, axis)]).T\n if result.shape.Ln == result.shape.Col == 1:\n return result[0][0]\n return result\n\ndef std(series):\n return Series(series).std()\n\ndef cov(x, y=None, **kwrds):\n '''\n formula: cov(x,y) = E(xy) - E(x)E(y) \n '''\n # high level data structure\n assert is_iter(x) and is_iter(y), 'input X and Y must be containers'\n if hasattr(x, 'shape') and x.shape[1] != 1 or y is None:\n if hasattr(x, 'tolist'):\n x = x.tolist()\n size = len(x)\n covX = [[0] * size for t in range(size)]\n for i, x_1 in enumerate(x):\n for j, x_2 in enumerate(x):\n cov_num = cov(x_1, x_2)\n covX[i][j] = cov_num\n covX[j][i] = cov_num\n return Matrix(covX)\n\n # sequence level data structure\n try:\n X, Y = array('f', x), array('f', y)\n except TypeError:\n X, Y = array('f'), array('f')\n for x, y in zip(x, y):\n if is_math(x) and is_math(y):\n X.append(x)\n Y.append(y)\n\n assert len(X) == len(Y), 'two variables have different lenth.'\n size = float(len(X))\n if size == 0:\n warn('x and y has no efficient numbers.')\n return 0\n \n Ex, Ey = kwrds.get('Ex', None), kwrds.get('Ey', None)\n if not Ex:\n Ex = sum(X) / size\n if not Ey:\n Ey = sum(Y) / size\n return sum(((x-Ex) * (y-Ey) for x, y in zip(X, Y))) / (size - 1)\n\ndef corr(x, y, method='pearson'):\n '''calculate the correlation between X and Y\n\n Users can calculate the correlation between two sequence of numerical\n data with three possible methods, which are Pearson Correlation\n (K. Pearson, 1990), Spearmsn Correlation (Kendall M, 1990) and\n Kendall Correlation (Kendall M, 1990). According to some researches,\n Pearson is the best method when data is fully distributed with Gauss\n Distribution. When significant nonlinear impacts or movement bias\n appear in the data, Spearman and Kendall correlations are better.\n\n Formulas\n --------\n cov(x,y)\n r = -----------------, Pearson Correlation\n std(x) * std(y)\n\n 6 * sum(di^2)\n r = 1 - ----------------, Spearman Correlation\n n(n^2 - 1)\n\n Nc - Nd\n r = --------------, Kendall Correlation\n n(n - 1) / 2\n\n Parameters\n ----------\n x, y : array-like\n sequence of values to calculate the correlation\n\n method : str (default=\"pearson\")\n the method used to calculate correlation.\n (\"pearson\", \"spearman\" and 'kendall' are supported).\n\n Returns\n -------\n value of correlation\n\n Examples\n --------\n >>> from DaPy import corr\n >>> x = []\n >>> y = []\n\n TODO\n ----\n 1. Gini Correlation, GC\n 2. Order Statistics Correlation Coeeficient, OSCC\n\n References\n ----------\n 1. Fisher R A. Statistical Methods, Experimental Design, and Scientific\n Inference [M]. New York: Oxford University-Press, 1990.\n 2. Kendall M, Gibbons J D. Rank Correlation Methods[M]. 5th. New Yrok:\n Oxford University Press, 1990.\n 3. Weichao X. A Review on Correlation Coefficients. Journal of Guandong\n University of Technology. Vol.29 No.3. 2012.\n 4. Chen W & Tingjin C. Non-parametetric Statistics (Second Edition).\n Publication of Tsinghua University. 2009.\n 5. He X & Liu W. Applied Regression Analysis. China People's University\n Publication House. 2015.\n\n See Also\n --------\n >>> help(DaPy.matlib._corr_kendall)\n >>> help(DaPy.matlib._corr_spearman)\n >>> help(DaPy.matlib._corr_pearson)\n '''\n assert isinstance(method, STR_TYPE), 'method should be a str or unicode'\n assert method in ('pearson', 'spearman', 'kendall'), 'method should be \"pearson\" or \"spearman\"'\n if method == 'pearson':\n return _corr_pearson(x, y)\n\n if method == 'spearman':\n return _corr_spearman(x, y)\n\n if method == 'kendall':\n return _corr_kendall(x, y)\n\ndef _corr_kendall(x, y):\n '''calculate the kendall rank correlation between X and Y\n\n In this function, we use the following formula to calculate the kendall\n correlation between two series. In order to speed up the operation of\n counting Nc and Nd parameters in the formula, binary select algorithm\n is applied here. Finally, the worst time complexity of this algorithm\n is O(4NlnN).\n\n Formula\n -------\n Nc - Nd\n tau = ---------------\n n(n - 1) / 2\n\n Reference\n ---------\n Chen W & Tingjin C. Non-parametetric Statistics (Second Edition).\n Publication of Tsinghua University. 2009.\n '''\n data = SeriesSet({'x': x, 'y': y}) # initialize the data\n ranks = data.get_ranks(['x', 'y']).sort('x_rank', 'y_rank') # O(3NlogN)\n sorted_y_rank_index = SortedIndex(ranks.y_rank) # O(NlogN)\n cache = {} # used to remember selected values\n\n Nc, Nd, n = 0, 0, data.shape.Ln\n for i, value in enumerate(ranks.y_rank): # O(N)\n upper, lower = cache.get(value, (None, None))\n if not upper:\n # find the data which are greater or lease than the current: O(logN)\n upper = sorted_y_rank_index.upper(value, include_equal=False)\n lower = sorted_y_rank_index.lower(value, include_equal=False)\n cache[value] = [upper, lower]\n\n # count numbers of values which are greater than the current: O(1)\n Nc += sum(1 for ind_ in upper if ind_ > i)\n Nd += sum(1 for ind_ in lower if ind_ > i)\n r = 2.0 * (Nc - Nd) / (n ** 2 - n)\n stat = tau * sqrt(9.0 * (n ** 2 - 1.0) / (4 * n + 20))\n if abs(stat) < 1.65:\n return 0\n return tau\n\ndef _corr_spearman(x, y):\n '''calculate the spearman rank correlation between X and Y\n\n Formula\n -------\n 6*SUM(di^2)\n r = 1 - ----------------\n n(n^2 - 1)\n\n Reference\n ---------\n He X & Liu W. Applied Regression Analysis. China People's University\n Publication House. 2015.\n ''' \n data = SeriesSet({'x': x, 'y': y})\n ranks = data.get_ranks(['x', 'y'])\n diff_sqrt = (ranks.x_rank - ranks.y_rank) ** 2\n n = ranks.shape.Ln\n r = 1 - (6.0 * diff_sqrt.sum()) / (n ** 3 - n)\n stat = r * sqrt((n - 2) / (1 - r))\n if abs(stat) < 1.65:\n return 0\n return r\n\ndef _corr_pearson(x, y):\n '''calculate the pearson correlation between X and Y\n\n formula\n -------\n cov(x,y)\n corr(x,y) = -----------------\n std(x) * std(y)\n '''\n return cov(x, y) / (cov(x, x) * cov(y, y)) ** 0.5\n \ndef frequency(data, cut=0.5):\n statistic = namedtuple('Frequency', ['Lower', 'Equal', 'Upper'])\n Group1, Group2, Group3 = 0, 0, 0\n size = float(len(data))\n for each in data:\n if each < cut:\n Group1 += 1\n elif each > cut:\n Group3 += 1\n else:\n Group2 += 1\n return statistic(Group1/size, Group2/size, Group3/size)\n\ndef quantiles(data, points=[0.05,0.1,0.25,0.5,0.75,0.9,0.95]):\n data = sorted(data)\n lenth = len(data)\n return [data[int(lenth * data)] for point in points]\n\ndef distribution(data, breaks=10, x_label=False):\n assert isinstance(breaks, int)\n data = Series(data)\n groups = [0] * breaks\n maxn, minn = max(data), min(data)\n ranges = maxn - minn\n size = len(data)\n breaks = [minn+i*ranges/breaks for i in range(1, breaks+1)]\n for record in data:\n for i,cut_point in enumerate(breaks):\n if cut_point >= record:\n groups[i] += 1\n break\n if x_label:\n return ([minn+i*ranges/(breaks*2) for i in range(1, breaks+1)],\n [float(i)/size for i in groups])\n return [float(i)/size for i in groups]\n\n\ndef describe(data, detail=0):\n '''\n Help you compute some basic describe statistic indexes.\n It only supports 1 dimention data.\n\n Parameter\n ---------\n data : array - Like\n The sequence store your data inside.\n\n Return\n ------\n NamedTuple(Mean, S, Sn, CV, Range, Min, Max, Skew, Kurt)\n\n Mean : float\n mean of data.\n\n S : float\n adjusted variance of data.\n\n Sn : float\n sample variance of data.\n\n CV : float\n coeffient variance of the data.\n\n Min : value\n the minimun value of the data.\n\n Max : value\n the maximun value of the data.\n\n Range : value\n the range of the data.\n\n Formulas\n --------\n <1> E(x) = sum(x)/n # Average of samples\n <2> D(x) = E(x^2) - E(x)^2 # Sample Variance\n <3> D(x)' = n/(n-1) * D(x) # Modified Sample Variance\n <4> CV = D(x) / E(x) # Coefficient of Variation\n E(x^3) - 3*E(x)*D(x) - E(x)^3\n <5> S(x) = ------------------------------------ # Skewness of samples\n D(x)^1.5\n <6> K(x) = E(x)^4 / D(x)^2 - 3 # Excess Kurtosis of samples\n \n \n '''\n statistic = namedtuple('STAT',\n ['Mean', 'S', 'Sn', 'CV', 'Range',\n 'Min', 'Max', 'Mode', 'Skew', 'Kurt'])\n if len(data) == 0:\n return statistic(*chain(repeat(None, 10)))\n mode = Counter(data).most_common(1)[0][0]\n \n try:\n data = array('f', x)\n except:\n data = array('f', filter(lambda x: is_math(x) and x != nan, data))\n \n size = float(len(data))\n if size == 0:\n return statistic(*chain(repeat(None, 7), [mode, None, None]))\n\n min_, max_ = min(data), max(data)\n if is_math(min_) and is_math(max_):\n rang = max_ - min_\n else:\n rang = '-'\n\n Ex, Ex2, Ex3, Ex4 = 0, 0, 0, 0\n for i in data:\n Ex += i; i *= i\n Ex2 += i; i *= i\n if detail == 1:\n Ex3 += i; i *= i\n Ex4 += i\n Ex /= size\n Ex2 /= size\n std = (Ex2 - Ex**2) ** 0.5\n if std == 0 or size == 1.0:\n std_n = size\n else:\n std_n = size / (size - 1.0) * std\n \n S, K = '-','-'\n if detail == 1:\n Ex3 /= size\n Ex4 /= size\n if std != 0:\n S = (Ex3 - 3 * Ex * std ** 2 - Ex ** 3) / std ** 1.5\n K = Ex4 / std ** 4 - 3\n \n if Ex == 0:\n return statistic(Ex, std, std_n, None, rang, min_, max_, mode, S, K)\n return statistic(Ex, std, std_n, std/Ex, rang, min_, max_, mode, S, K)\n" }, { "path": "DaPy/methods/__init__.py", "content": "from .classifiers import MLPClassifier, DecisionTreeClassifier, LogistClassifier\nfrom .statistic import ANOVA, DiscriminantAnalysis, RunTest, CoxStautTest, SignTest, WicoxonTest, IndependentTTest\nfrom .evaluator import Performance\nfrom .core import PageRank, TfidfCounter\n\n__all__ = ['MLPClassifier', 'DecisionTreeClassifier', 'LogistClassifier',\n 'ANOVA', 'DiscriminantAnalysis', 'RunTest', 'CoxStautTest',\n 'SignTest', 'WicoxonTest', 'IndependentTTest', 'Performance',\n 'PageRank', 'TfidfCounter',\n ]\n\n" }, { "path": "DaPy/methods/classifiers/__init__.py", "content": "from .mlp import MLPClassifier\nfrom .tree import DecisionTreeClassifier\nfrom .linear_models import LogistClassifier\n" }, { "path": "DaPy/methods/classifiers/classifier.py", "content": "from DaPy.core import Series, SeriesSet\nfrom DaPy.core import is_seq\nfrom copy import copy\n\n\ndef proba2label(seq, labels):\n if hasattr(seq, 'shape') is False:\n seq = SeriesSet(seq)\n if seq.shape[1] > 1:\n return clf_multilabel(seq, labels)\n return clf_binlabel(seq, labels)\n\ndef clf_multilabel(seq, groupby=None):\n if is_seq(groupby):\n groupby = dict(enumerate(map(str, groupby)))\n if not groupby:\n groupby = dict()\n assert isinstance(groupby, dict), '`labels` must be a list of str or dict object.'\n max_ind = seq.argmax(axis=1).T.tolist()[0]\n return Series(groupby.get(int(_), _) for _ in max_ind)\n \ndef clf_binlabel(seq, labels, cutpoint=0.5):\n return Series(labels[0] if _ >= cutpoint else labels[1] for _ in seq)\n\n\nclass BaseClassifier(object):\n def __init__(self):\n self._labels = []\n\n @property\n def labels(self):\n return copy(self._labels)\n \n def _calculate_accuracy(self, predict, target):\n pred_labels = predict.argmax(axis=1).T.tolist()[0]\n targ_labels = target.argmax(axis=1).T.tolist()[0]\n return sum(1.0 for p, t in zip(pred_labels, targ_labels) if p == t) / len(predict)\n \n def predict_proba(self, X):\n '''\n Predict your own data with fitted model\n\n Paremeter\n ---------\n data : matrix\n The new data that you expect to predict.\n\n Return\n ------\n Matrix: the predict result of your data.\n '''\n X = self._engine.mat(X)\n return self._forecast(X)\n\n def predict(self, X):\n '''\n Predict your data with a fitted model and return the label\n\n Parameter\n ---------\n data : matrix\n the data that you expect to predict\n\n Return\n ------\n Series : the labels of each record\n '''\n return proba2label(self.predict_proba(X), self._labels)\n" }, { "path": "DaPy/methods/classifiers/linear_models.py", "content": "from DaPy.methods.core import BaseLinearModel\nfrom .classifier import BaseClassifier\nfrom DaPy.core.base import Series\n\nclass LogistClassifier(BaseLinearModel, BaseClassifier):\n def __init__(self, engine='numpy', learn_rate=0.005, l1_penalty=0, l2_penalty=0, fit_intercept=True):\n BaseLinearModel.__init__(self, engine, learn_rate, l1_penalty, l2_penalty, fit_intercept)\n BaseClassifier.__init__(self)\n self._sigmoid = self._activator('sigm')\n\n def _check_target_labels(self, target):\n self._labels = sorted(set(target))\n assert len(self._labels) == 2, 'the number of labels in Y must be 2.'\n return Series(1 if _ == self._labels[0] else 0 for _ in target)\n \n def _forecast(self, X):\n return self._sigmoid(X.dot(self._weight) + self._bias)\n \n def fit(self, X, Y, epoch=500, early_stop=True, verbose=False):\n Y = self._check_target_labels(Y)\n self._fit(X, Y, epoch, early_stop, verbose)\n return self\n\n\n" }, { "path": "DaPy/methods/classifiers/mlp.py", "content": "from copy import copy\n\nfrom DaPy.core import Matrix, Series, SeriesSet\nfrom DaPy.methods.core import BaseMLP\nfrom DaPy.operation import get_dummies\nfrom DaPy.methods import evaluator\nfrom .classifier import BaseClassifier\n\n\nclass MLPClassifier(BaseMLP, BaseClassifier):\n \n def __init__(self, engine='numpy', learn_rate=0.05, l1_penalty=0, l2_penalty=0, upfactor=1.05, downfactor=0.95):\n BaseMLP.__init__(self, engine, learn_rate, l1_penalty, l2_penalty, upfactor, downfactor)\n BaseClassifier.__init__(self)\n self._final_func = 'softmax'\n\n def _check_target_labels(self, target):\n target = SeriesSet(target)\n if target.shape.Col == 1:\n target = get_dummies(target[target.columns[0]], dtype='SeriesSet')\n self._labels = target.columns\n return self._engine.mat(list(target.iter_rows()))\n\n def fit(self, X, Y, n_epoch=500, n_layers=None,\n activators='sigm', early_stop=False, verbose=True):\n '''Fit your model\n\n Parameters\n ----------\n X : matrix/2-darray\n The feature matrix in your training dataset.\n\n Y : matrix/2-darray\n The target matrix in your training dataset.\n\n n_epoch : int (default=200)\n The number of loops that train the model.\n\n n_layers : int, int in list (default=None)\n the number of cells in each hidden layer, if model has more than\n one hidden layers, input numbers of cells in each layers as list.\n\n activators : str, str in list (default='relu')\n the active function used to calculate in each layers\n options: `relu`, `sigm`, `tanh`, `line`, `radb`, `softmax`\n\n early_stop : float or None (default=False)\n\n verbose : Bool (default=True)\n - True: print the information while training model.\n - False: do not print any information.\n\n Return\n ------\n None\n '''\n target = self._check_target_labels(Y)\n self._fit(X, target, n_epoch, n_layers, activators, early_stop, verbose)\n return self\n\n \n" }, { "path": "DaPy/methods/classifiers/tree.py", "content": "from collections import Counter\nfrom math import log\nfrom DaPy import SeriesSet, Series\nfrom copy import copy, deepcopy\nfrom pprint import pformat\n\nclass DecisionTreeClassifier(object):\n '''Implement of decision tree with C4.5 algorithm'''\n def __init__(self, max_depth=None):\n self._feature_name = []\n self._class_name = []\n self._shannon = {}\n self._root = {}\n\n def __getitem__(self, key):\n return self._root[key]\n\n def __repr__(self):\n return pformat(self._root)\n \n @property\n def n_features(self):\n return len(self._feature_name)\n\n @property\n def n_outputs(self):\n return len(self._class_name)\n\n @property\n def root(self):\n return self._root\n\n def items(self):\n for key,value in self._root.items():\n yield key, value\n\n def keys(self):\n for key in self._root.keys():\n yield key\n\n def _cal_shannon(self, data):\n size = float(len(data))\n labels = Counter(data)\n shannon = 0.0\n for key, value in labels.items():\n prob = value / size\n shannon -= prob * log(prob, 2)\n return shannon\n \n def _get_best_feature(self, X, Y, tol_gain_ratio=0.0001):\n size = float(X.shape[0])\n base_entropy = self._cal_shannon(Y)\n best_gain_ratio, best_feature = tol_gain_ratio, None\n for feature in X.columns:\n if feature == '__target__':\n continue\n \n current_entropy, current_iv = 0.0, 0.00001\n for feature_value, subset_feature in X.iter_groupby(feature):\n prob = subset_feature.shape[0] / size\n subset_shannon = self._cal_shannon(subset_feature['__target__'])\n current_entropy -= prob * subset_shannon\n current_iv -= prob * log(prob, 2)\n \n gain_ratio = (base_entropy - current_entropy) / abs(current_iv)\n if gain_ratio > best_gain_ratio:\n best_gain_ratio, best_feature = gain_ratio, feature\n \n return best_feature, best_gain_ratio\n\n def _create_tree(self, X, Y, feature_name):\n if len(set(Y)) == 1:\n return Y[0]\n\n most_common_Y = Counter(Y).most_common()[0][0]\n if X.shape[1] == 1 and X.columns[0] == '__target__':\n return most_common_Y\n \n best_feature, best_info_gain = self._get_best_feature(X, Y)\n if best_feature is None:\n return most_common_Y\n\n feature_name.remove(best_feature)\n self._shannon.setdefault(best_feature, [best_info_gain, 1])\n subColumn = X.columns\n subColumn.remove(best_feature)\n subX = X[subColumn]\n subtree = {'???': most_common_Y}\n feature_column = X[best_feature]\n\n for value in set(feature_column):\n equal_value_index = [i for i, _ in enumerate(feature_column) if _ == value]\n x = subX[equal_value_index]\n y = subX[equal_value_index]['__target__']\n subtree[value] = self._create_tree(x, y, deepcopy(feature_name))\n return {best_feature: subtree}\n\n def fit(self, X, Y):\n X, Y = SeriesSet(X), Y\n feature_name = X.columns\n # we combine the X and Y in a dataset\n X.append_col(Y, '__target__')\n\n self._feature_name = copy(feature_name)\n self._class_name = set(['Class=%s' % value for value in Y])\n self._root = self._create_tree(X, Y, feature_name)\n return self\n\n def predict_once(self, row):\n node = self._root\n for i in range(self.n_features):\n feature = list(node.keys())[0]\n compare_value = row[self._feature_name.index(feature)]\n for value, subnode in node[feature].items():\n if compare_value == value:\n if isinstance(subnode, dict) is False:\n return subnode\n node = subnode\n break\n else:\n return node[feature]['???']\n return self._root['???']\n\n def predict(self, X):\n assert X.shape[1] == self.n_features\n return Series(self.predict_once(row) for row in X)\n\n def export_graphviz(self, outfile=None):\n global nodeNum, doc\n doc = ''\n doc += 'digraph Tree{\\n'\n doc += 'node [shape=box, style=\"rounded\", fontname=helvetica] ;\\n'\n doc += 'edge [fontname=helvetica] ;\\n'\n nodeNum = 0\n \n def plotNode(string, num):\n global doc\n doc += '%d [label=\"%s\"];\\n' % (num, string)\n\n def plotRelation(father, current, string):\n global doc\n if father != '':\n doc += '%s -> %d [headlabel=\"%s\"];\\n' % (father, current, string)\n \n def plotTree(tree, father, relation):\n global nodeNum\n if len(tree) > 0:\n firstStr = list(tree.keys())[0]\n plotNode(firstStr, nodeNum)\n plotRelation(father, nodeNum, relation)\n subTree = tree[firstStr]\n fatherNode = nodeNum\n for key, value in subTree.items():\n nodeNum += 1\n if isinstance(value, dict):\n plotTree(value, fatherNode, key)\n elif key != '???':\n plotNode(value, nodeNum)\n plotRelation(fatherNode, nodeNum, key)\n \n plotTree(self._root, '', 'ROOT')\n doc += '}'\n if hasattr(outfile, 'write') is False:\n return doc\n outfile.write(doc)\n\n def most_important_feature(self, top='all'):\n assert isinstance(top, int) or str(top).lower() == 'all'\n if str(top).lower() == 'all':\n top = self.n_features\n shannons = [(key, total/times) for key,(total,times) in self._shannon.items()]\n return sorted(shannons, key=lambda x: x[1], reverse=True)[:top]\n \n\nif __name__ == '__main__':\n test_data = SeriesSet({\n 'color': ['green', 'dark', 'dark', 'green', 'white',\n 'green', 'dark', 'dark', 'dark', 'green',\n 'white', 'white', 'green', 'white', 'dark', 'white', 'green'],\n 'root': ['fully rolled', 'fully rolled', 'fully rolled', 'fully rolled', 'fully rolled', 'slightly rolled ','slightly rolled ', 'slightly rolled ',\n 'slightly rolled ', 'straight', 'slightly rolled ', 'fully rolled', 'slightly rolled ', 'slightly rolled ','slightly rolled ', 'fully rolled', 'fully rolled'],\n \n 'response': ['boom', 'low', 'boom', 'low', 'boom', 'boom', 'boom', 'boom',\n 'low', 'clear', 'clear', 'boom', 'boom', 'low', 'boom', 'boom', 'low'],\n 'texture': ['clear'] * 6 + ['slightly paste', 'clear', 'slightly paste', 'clear', 'paste', 'paste',\n 'slightly paste', 'slightly paste', 'clear', 'paste', 'slightly paste'],\n 'navel': ['dent'] * 5 + ['slightly dent'] * 4 + ['flat'] * 3 + ['dent'] * 2 + \\\n ['slightly dent', 'flat', 'slightly dent'],\n 'touch': ['hard slip'] * 5 + ['soft sticky ', 'soft sticky ', 'hard slip', 'hard slip', 'soft sticky ', 'hard slip',\n 'soft sticky ', 'hard slip', 'hard slip', 'soft sticky ', 'hard slip', 'hard slip'],\n 'good': ['good'] * 8 + ['bad'] * 9})\n test_data = test_data[['color', 'root', 'response', 'texture', 'navel', 'touch', 'good']]\n## print(test_data.show())\n X, Y = test_data[:'touch'], test_data['good']\n mytree = DecisionTreeClassifier()\n mytree.fit(X, Y)\n import pydotplus\n graph = pydotplus.graph_from_dot_data(mytree.export_graphviz())\n graph.write_pdf(r'C:\\Users\\JacksonWoo\\Desktop\\boston.pdf')\n print(mytree)\n print(mytree.predict(X))\n print(mytree.predict(SeriesSet([['red', 'red', 'clear', 'None', 'None', 'soft sticky']])))\n\n\n\n\n\n\n\n\n\n\n\n\n \n \n" }, { "path": "DaPy/methods/core/__init__.py", "content": "from .base import Activators\nfrom .base import BaseEngineModel\nfrom .base import Dense, Input\n\nfrom .multilayer_perceptron import BaseMLP\nfrom .linear_model import BaseLinearModel\nfrom .pagerank import PageRank\nfrom .tfidf import TfidfCounter\n" }, { "path": "DaPy/methods/core/base/__init__.py", "content": "from .layers import Dense, Input, Output\nfrom .activators import Activators, check_activations\nfrom .models import BaseEngineModel\nfrom .utils import eng2str, str2eng\n" }, { "path": "DaPy/methods/core/base/activators.py", "content": "from warnings import filterwarnings\nfrom .models import BaseEngineModel\nfrom .utils import eng2str, str2eng\nfilterwarnings('ignore')\n\nACTIVATIONS = set(('sigm', 'tanh', 'line', 'radb', 'relu', 'softmax'))\n\ndef check_activations(func):\n if isinstance(func, (list, tuple)) is False:\n func = [func]\n for every in func:\n assert str(every).lower() in ACTIVATIONS, 'invalid activation symbol, tanh, sigm, relu, softmax, radb and line.'\n return list(func)\n\nclass Activators(BaseEngineModel):\n def __init__(self, engine):\n BaseEngineModel.__init__(self, engine)\n\n def __call__(self, func_name):\n return self.get_actfunc_by_str(func_name)\n\n def get_actfunc_by_str(self, func_name):\n func_name = str(func_name).lower()\n assert func_name in ACTIVATIONS, 'invalid activation symbol, tanh, sigm, relu, softmax, radb and line.'\n if func_name == 'sigm':\n return self.sigmoid\n if func_name == 'tanh':\n return self.tanh\n if func_name == 'line':\n return self.linear\n if func_name == 'radb':\n return self.radb\n if func_name == 'relu':\n return self.relu\n # if func_name == 'softmax':\n return self.softmax\n\n def sigmoid(self, x, diff=False):\n if diff:\n return self._mul(x, 1 - x)\n return 1.0 / (1.0 + self._exp(-x))\n\n def tanh(self, x, diff=False):\n if diff:\n return 1.0 - self._mul(x, x)\n poss, negt = self._exp(x), self._exp(-x)\n return (poss - negt) / (poss + negt)\n\n def linear(self, x, diff=False):\n if diff:\n return self.engine.ones(x.shape)\n return x\n\n def radb(self, x, diff=False):\n temp = self.engine._mul(-x, x)\n if diff:\n return self._multiply(-2.0 * x, self._exp(temp))\n return self._exp(temp)\n\n def relu(self, x, diff=False):\n if diff:\n return (abs(x) + x) / (2 * x)\n return (abs(x) + x) / 2\n\n def softmax(self, x, diff=False):\n if diff:\n return x - self._mul(x, x)\n exp_x = self._exp(x)\n sum_x = self._sum(exp_x, axis=1)\n return exp_x / sum_x\n\n\n\n" }, { "path": "DaPy/methods/core/base/layers.py", "content": "from math import sqrt\nfrom random import gauss, randint, uniform\n\nfrom DaPy.core.base import Matrix\n\nfrom .models import BaseEngineModel\n\n\nclass Layer(BaseEngineModel):\n def __init__(self, engine, function, str_activation):\n BaseEngineModel.__init__(self, engine)\n self.activation = function\n self.strfunc = str_activation\n\n def __repr__(self):\n return self.__name__\n\n @property\n def activation(self):\n return self._func.__name__\n\n @activation.setter\n def activation(self, other):\n assert callable(other) or other is None, 'activation should bu callable object'\n self._func = other\n\n def __getstate__(self):\n obj = self.__dict__.copy()\n obj['_engine'] = self.engine\n del obj['_func']\n return obj\n\n def __setstate__(self, pkl):\n self.engine = pkl['_engine']\n self.strfunc = pkl['strfunc']\n if '_weight' in pkl:\n self._weight = pkl['_weight']\n\n def propagation(self, *args, **kwrds):\n pass\n\n def backward(self, *args, **kwrds):\n pass\n \n\nclass Input(Layer):\n '''Input layer in the model'''\n \n __name__ = 'Input'\n \n def __init__(self, engine, in_cells, *args, **kwrds):\n Layer.__init__(self, engine, None, None)\n self._in_cells = in_cells\n self._weight = self._engine.zeros((in_cells, in_cells))\n\n @property\n def shape(self):\n return (self._in_cells, self._in_cells)\n\n def propagation(self, x):\n assert x.shape[1] == self._in_cells\n self._input = self._output = x\n return x\n \n\nclass Dense(Layer):\n '''A type of common layer for multilayer perceptron\n\n This kind of structure can help you quickly develop a new\n machine learning model.\n '''\n\n __name__ = 'Dense'\n \n def __init__(self, engine, n_in, n_out, activation, str_act, init_weight='Xavier'):\n Layer.__init__(self, engine, activation, str_act)\n self._init_parameters(n_in, n_out, init_weight)\n\n @property\n def shape(self):\n return self._weight.shape\n\n def _init_parameters(self, in_cells, out_cells, mode='MSRA'):\n '''inintialized the weight matrix in this layer.\n\n Paramters\n ---------\n in_cells : int\n the number of input variables.\n\n out_cells : int\n the number of output variables.\n\n activation : function\n '''\n if mode in ('MSRA', 'He'):\n t1, t2, f = 0, sqrt(2.0 / in_cells), gauss\n\n elif mode == 'Xavier':\n low = in_cells + out_cells\n t1, t2, f = - sqrt(6.0 / low), sqrt(6.0 / low), uniform\n\n elif mode == 'Gauss':\n t1, t2, f = 0, 1, gauss\n\n else:\n raise TypeError('the mode for initiall weight only supports MSRA, '+\\\n 'Xavier, and Gauss.')\n \n weight = [[f(t1, t2) for j in range(out_cells)] for i in range(in_cells)]\n self._weight = self._engine.mat(weight)\n\n def propagation(self, input_):\n self._input = input_\n self._output = self._func(input_.dot(self._weight))\n return self._output\n\n def backward(self, gradient, alpha):\n gradient = self._mul(gradient, self._func(self._output, True))\n self._weight += self._input.T.dot(gradient) * alpha\n return self._dot(gradient, self._weight.T)\n\n\nclass Output(Dense):\n '''Output layer in the model'''\n \n __name__ = 'Output'\n\n def __init__(self, engine, n_in, n_out, activation, init_weight='Xavier'):\n Dense.__init__(self, engine, n_in, n_out, activation, init_weight)\n\n\n" }, { "path": "DaPy/methods/core/base/models.py", "content": "\nfrom itertools import repeat\nfrom DaPy.core.base import is_str\nfrom .utils import str2eng, eng2str\n\nclass BaseEngineModel(object):\n\n def __init__(self, engine='numpy'):\n self.engine = engine\n \n @property\n def engine(self):\n '''Return the calculating tool that you are using'''\n return eng2str(self._engine)\n\n @engine.setter\n def engine(self, new_engine):\n '''Reset the calculating library (DaPy or Numpy)'''\n if is_str(new_engine):\n new_engine = str2eng(new_engine)\n\n for func in ('abs', 'dot', 'multiply', 'mean', 'log', 'sum', 'exp'): \n assert hasattr(new_engine, func), \"Your engine does't have attribute %s\" % func\n\n self._engine = new_engine\n if hasattr(self, '_activator'):\n self._activator.engine = self._engine\n\n def __call__(self, x):\n return self.predict(x)\n\n def __getstate__(self):\n pickle_self = self.__dict__.copy()\n pickle_self['_engine'] = eng2str(self._engine)\n return pickle_self\n\n def __setstate__(self, pkl):\n self.engine = pkl['_engine']\n\n def _abs(self, x):\n return self._engine.abs(x)\n \n def _dot(self, left, right):\n return self._engine.dot(left, right)\n \n def _exp(self, x):\n return self._engine.exp(x)\n\n def _mat(self, x):\n return self._engine.mat(x)\n\n def _mul(self, a, b):\n return self._engine.multiply(a, b)\n\n def _mean(self, x, axis=None):\n return self._engine.mean(x, None)\n\n def _pow(self, x, power=2):\n if isinstance(power, int):\n return reduce(self._mul, repeat(x, power))\n\n single_power_x = x\n for terms in range(power):\n x = self._mul(x, single_power_x)\n return x\n \n def _log(self, x, grad=2):\n return self._engine.log(x, grad)\n \n def _sum(self, x, axis=None):\n return self._engine.sum(x, axis)\n\n def _check_addr(self, addr, mode):\n if is_str(addr):\n return open(addr, mode)\n return addr\n\n def _zeros(self, shape):\n return self._engine.zeros(shape)\n\n def _ones(self, shape):\n return self._engine.ones(shape)\n\n def _check_input_X_matrix(self, mat):\n assert hasattr(mat, 'shape'), 'input X must have attribute `mat.T`'\n assert hasattr(mat, 'T'), 'input X must have attribute `mat.T`'\n assert mat.shape[0] >= mat.shape[1], 'number of rows in X matrix is less than the number of columns'\n if hasattr(mat, 'astype'):\n mat = mat.astype('float32')\n return mat\n\n\n" }, { "path": "DaPy/methods/core/base/utils.py", "content": "from DaPy.core import LogWarn\n\ndef eng2str(obj):\n return str(obj).split()[1][1: -1]\n\ndef str2eng(obj):\n if str(obj).lower() not in ('numpy', 'dapy', 'none'):\n LogWarn('Your model is not in Numpy or DaPy!')\n \n if str(obj).lower() == 'numpy':\n import numpy as engine\n engine.seterr(divide='ignore', invalid='ignore')\n return engine\n \n if str(obj).lower() == 'dapy':\n import DaPy as engine\n return engine\n \n return None\n" }, { "path": "DaPy/methods/core/bp_model.py", "content": "from time import clock\n\nfrom DaPy.core import LogInfo, Series\nfrom .base import BaseEngineModel, Activators\n\nclass BaseBPModel(BaseEngineModel):\n def __init__(self, engine, learn_rate, l1_penalty, l2_penalty):\n BaseEngineModel.__init__(self, engine)\n self.learn_rate = learn_rate\n self.l1_penalty = l1_penalty\n self.l2_penalty = l2_penalty\n self._activator = Activators(self.engine)\n self._accuracy = None\n self._cost_history = Series() # Mistake Recorder\n\n @property\n def accuracy(self):\n return self._accuracy\n\n @property\n def cost_history(self):\n return self._cost_history\n\n @property\n def learn_rate(self):\n return self._learn_rate\n\n @learn_rate.setter\n def learn_rate(self, new_rate):\n assert isinstance(new_rate, (int, float))\n assert 0 < new_rate < 1, '`learnning rate` must be between 0 to 1'\n self._learn_rate = new_rate\n\n @property\n def l1_penalty(self):\n return self._l1\n \n @l1_penalty.setter\n def l1_penalty(self, new_l1):\n assert isinstance(new_l1, (int, float))\n assert new_l1 >= 0, '`l1 penalty` must be greater than 0'\n self._l1 = new_l1\n \n @property\n def l2_penalty(self):\n return self._l2\n \n @l2_penalty.setter\n def l2_penalty(self, new_l2):\n assert isinstance(new_l2, (int, float))\n assert new_l2 >= 0, '`l2_penalty` must be greater than 0'\n self._l2 = new_l2\n\n def __getstate__(self):\n pkl = BaseEngineModel.__getstate__(self)\n del pkl['_activator']\n return pkl\n\n def __setstate__(self, pkl):\n BaseEngineModel.__setstate__(self, pkl)\n self._activator = Activators(self.engine)\n self.learn_rate = pkl['_learn_rate']\n self.l1_penalty = pkl['_l1']\n self.l2_penalty = pkl['_l2']\n self._cost_history = pkl['_cost_history']\n self._accuracy = pkl['_accuracy']\n\n def _train(self, X, Y, epoch=500, verbose=True, early_stop=False):\n assert early_stop in (True, False)\n show_log, log_level = 1, 1\n\n start = clock()\n for term in range(1, epoch + 1):\n # foreward propagation\n predict = self._forecast(X)\n # record the errors\n self._accuracy = self._calculate_accuracy(predict, Y)\n diff = self._calculate_backward_error(predict, Y)\n self._cost_history.append(self._sum(self._abs(diff)) / len(X))\n # back propagation\n self._backward(X, diff)\n \n # check whather to early stop the iteration\n if early_stop and len(self._cost_history) > 10:\n upper_term = 0\n for i in range(1, 11):\n if self._cost_history[-i] >= self._cost_history[-i-1]:\n upper_term += 1\n if upper_term >= 10:\n LogInfo('Early stoped')\n break\n\n # print training information\n if verbose and term % show_log == 0:\n spent = clock() - start\n finish_rate = (term / (epoch+1.0))*100\n last = spent / (finish_rate/100) - spent\n LogInfo('Finished: %.1f' % finish_rate + '%\\t' +\\\n 'Epoch: %d\\t' % term +\\\n 'Rest Time: %.2fs\\t' % last +\\\n 'Accuracy: %.2f' % self._accuracy + '%')\n if term > 10 ** (1 + log_level):\n log_level += 1\n show_log = 10 ** log_level\n\n time = clock() - start\n LogInfo('Finish Train | Time:%.1fs\\tEpoch:%d\\tAccuracy:%.2f'%(time, term, self._accuracy * 100) + '%')\n\n def plot_error(self):\n '''use matplotlib library to draw the error curve during the training.\n '''\n try:\n import matplotlib.pyplot as plt\n plt.title('Model Training Result')\n plt.plot(self._cost_history[1:])\n plt.ylabel('Error %')\n plt.xlabel('Epoch')\n plt.show()\n except ImportError:\n raise ImportError('DaPy uses `matplotlib` to draw picture, try: pip install matplotlib.')\n" }, { "path": "DaPy/methods/core/linear_model.py", "content": "from itertools import repeat\nfrom math import sqrt\nfrom random import randint, random\nfrom time import clock, localtime\n\nfrom DaPy.core import DataSet, LogInfo\nfrom DaPy.core import Matrix as mat\nfrom DaPy.core import Series\n\nfrom .base import (Activators, BaseEngineModel, check_activations, eng2str,\n str2eng)\nfrom .bp_model import BaseBPModel\n\n\nclass BaseLinearModel(BaseBPModel):\n def __init__(self, engine, learn_rate, l1_penalty, l2_penalty, fit_intercept):\n BaseBPModel.__init__(self, engine, learn_rate, l1_penalty, l2_penalty)\n self.intercept = fit_intercept\n self._weight = None\n \n @property\n def intercept(self):\n return self._intercept\n \n @intercept.setter\n def intercept(self, set_intercept):\n assert set_intercept in (True, False)\n self._intercept = set_intercept\n \n def _backward(self, X, gradient):\n delta = X.T.dot(gradient) # gradient error\n pen1 = self.l1_penalty * self._engine.sign(self._weight) # Level 1 penlty\n pen2 = self.l2_penalty * self._weight # Level 2 penlty\n self._weight -= self.learn_rate * (delta + pen1 + pen2)\n self._bias -= self.learn_rate * self._sum(gradient)\n\n def _calculate_accuracy(self, predict, target):\n return self._mean(self._pow(predict - target, 2)) / len(predict)\n\n def _calculate_backward_error(self, predict, target):\n return 2 * (predict - target)\n\n def _create(self, X, Y):\n self._weight = self._engine.mat([random() for _ in range(X.shape[1])]).T\n self._bias = random()\n \n def _fit(self, X, Y, epoch=500, early_stop=True, verbose=False):\n '''create a new model and train it.\n\n This model will help you create a model which suitable for this\n dataset and then train it. It will use the function self.create()\n at the first place, and call self.train() function following.\n '''\n X, Y = self._engine.mat(X), self._engine.mat(Y).T\n assert Y.shape[1] == 1, 'Y must be 1 dimentions'\n assert X.shape[0] == Y.shape[0], \"number of records in X doesn't match Y\"\n self._create(X, Y)\n self._train(X, Y, epoch, verbose, early_stop)\n return self\n\n" }, { "path": "DaPy/methods/core/multilayer_perceptron.py", "content": "from itertools import repeat\nfrom math import sqrt\nfrom random import randint\nfrom time import clock, localtime\n\nfrom DaPy.core import DataSet, LogInfo\nfrom DaPy.core import Matrix as mat\nfrom DaPy.core import Series\n\nfrom .base import Dense, Input, Output, check_activations\nfrom .bp_model import BaseBPModel\n\ntry:\n import cPickle as pkl\nexcept ImportError:\n import pickle as pkl\n\n\nCELL = u'\\u25CF'\nONE_CELL = u'\\u2460'\n\n\nclass BaseMLP(BaseBPModel):\n '''\n Base MultiLayers Perceptron Model (MLP)\n\n Parameters\n ----------\n engine : data process library\n The opearting model which is used to calculate the active function.\n\n alpha : float (default=1.0)\n Initialized learning ratio\n\n beta : float (default=0.1)\n Initialized the adjusting ratio\n\n upfactor : float (default=1.05)\n\n downfactor : float (default=0.95)\n\n layers : list\n The list contains hidden layers.\n \n Examples\n --------\n >>> mlp = dp.MLP() # Initialize the multilayers perceptron model\n >>> mlp.create(3, 1, [3, 3, 3]) # Create a new model with 3 hidden layers\n - Create structure: 3 - 3 - 3 - 3 - 1\n >>> mlp.train(data, target) # Fit your data\n - Start: 2018-7-1 14:47:16 Remain: 9.31 s\tError: 44.02%\n Completed: 10.00 \tRemain Time: 8.57 s\tError: 7.64%\n Completed: 20.00 \tRemain Time: 7.35 s\tError: 3.82%\n Completed: 29.99 \tRemain Time: 6.35 s\tError: 2.65%\n Completed: 39.99 \tRemain Time: 5.40 s\tError: 2.06%\n Completed: 49.99 \tRemain Time: 4.48 s\tError: 1.70%\n Completed: 59.99 \tRemain Time: 3.58 s\tError: 1.46%\n Completed: 69.99 \tRemain Time: 2.68 s\tError: 1.28%\n Completed: 79.98 \tRemain Time: 1.79 s\tError: 1.15%\n Completed: 89.98 \tRemain Time: 0.90 s\tError: 1.04%\n Completed: 99.98 \tRemain Time: 0.00 s\tError: 0.96%\n - Total Spent: 9.0 s\tError: 0.9578 %\n >>> mlp.performance(new_data) # Test the performance of model\n - Classification Correct: 98.2243%\n >>> mlp.predict_proba(your_data) # Predict your real task.\n '''\n \n def __init__(self, engine, learn_rate, l1_penalty, l2_penalty, upfactor, downfactor):\n '''initialize a multilayers perceptron model\n\n Parameter\n ---------\n engine : str (default='numpy')\n The calculating engine for this model. Since the 20 times\n efficiency in mathematical calculating than DaPy, we highly\n recommend that you setup numpy as your engine.\n\n alpha : float (default=0.025)\n The learning rate baseline for automatic adjustment.\n\n beta : float (default=0.025)\n The fixed learning rate.\n\n upfactor : float (default=1.05)\n The automatic adjustment rate to speed up the convergence while it\n is in positive movement.\n\n downfactor : float (default=0.95)\n The automatic adjustment rate to slow down the diverge while it is\n in nagetive movement.\n\n '''\n BaseBPModel.__init__(self, engine, learn_rate, l1_penalty, l2_penalty)\n assert 1 < upfactor, '`upfactor` must be greater than 1'\n assert downfactor < 1, '`downfactor` must be less than 1'\n self._upfactor = upfactor # Upper Rate\n self._downfactor = downfactor # Down Rate\n self._layers = [] # restore each Dense layers\n self._size = 0\n\n @property\n def weight(self):\n '''Return a diction stored two weight matrix.'''\n return dict((str(layer), layer._weight) for layer in self._layers)\n\n @property\n def layers(self):\n return self._layers\n\n @property\n def loss_func(self):\n return self._loss_func\n\n @loss_func.setter\n def loss_func(self, new):\n assert new in ('MSE', 'binary_classifier', 'multiple_classifer')\n self._loss_func = new\n\n def __repr__(self):\n max_size_y = max([layer.shape[1] for layer in self._layers]) * 2\n size_x = [layer.__repr__() for layer in self._layers]\n print_col = []\n for layer in self._layers:\n blank = int(max_size_y / layer.shape[1])\n normal = [blank * i for i in range(1, 1 + layer.shape[1])]\n bias = - (max_size_y - max(normal) + min(normal)) / 2 \n print_col.append([int(bias + pos) for pos in normal])\n\n output = ' '.join(size_x) + '\\n'\n output += '-' * len(output) + '\\n'\n output += ' '.join([ONE_CELL.center(len(name) - 1) for name in size_x[:-1]]) + '\\n'\n for i in range(1, 1 + max_size_y):\n line = ''\n for j, layer in enumerate(self._layers):\n if i in print_col[j]:\n line += CELL.center(len(size_x[j]) - 1) + ' '\n else:\n line += ''.center(len(size_x[j]) + 1) + ' '\n output += line + '\\n'\n output += '---------------------------\\n'\n output += 'Tips:' + CELL + ' represents the normal cell in layer; \\n'\n output += ' ' + ONE_CELL + ' represents the automatically added offset cells.'\n return output\n\n def __setstate__(self, pkl):\n BaseBPModel.__setstate__(self, pkl)\n self._layers = pkl['_layers']\n self._upfactor = pkl['_upfactor']\n self._downfactor = pkl['_downfactor']\n for layer in self._layers:\n if layer.strfunc is not None:\n layer.activation = self._activator(layer.strfunc)\n\n def add_layer(self, layer):\n self._layers.append(layer)\n self._size += 1\n \n def _create(self, n_in, n_out, layers=None, activators=None):\n ''' Create a new MLP model with multiable hiddent layers.\n\n Parameters\n ----------\n input_cell : int\n The dimension of your features.\n\n output_cell : int\n The dimension of your target.\n\n layers : int or list (default:None)\n The cells in hidden layer, defualt will create a 1 hidden layer MLP\n with a experience formula. If you want to build more than 1 hidden\n layer, you should input a numbers in list.\n\n activators : str, str in list (default: None)\n The active function of each hidden layer.\n \n reg_act : str (default='softmax')\n the activation of output layer\n\n Return\n ------\n info : the built up structure of this MLP.\n\n Example\n -------\n >>> mlp = MLP()\n >>> mlp.create(9, 4, [2, 2, 3], ['sigm', 'sigm', 'sigm', 'line'])\n ' - Create structure: 9 - 2 - 2 - 3 - 4'\n '''\n layers = self._check_cells(n_in, layers, n_out)\n funcs = self._check_funcs(activators, len(layers) - 1)\n assert len(funcs) == len(layers) - 2, 'the number of activations does not match layers.'\n \n self.add_layer(Input(self._engine, n_in))\n for in_, out_, strfunc in zip(layers[:-2], layers[1:-1], funcs):\n actfunc = self._activator(strfunc)\n self.add_layer(Dense(self._engine, in_, out_, actfunc, strfunc))\n self.add_layer(Output(self._engine, out_, n_out, self._activator(self._final_func), self._final_func))\n LogInfo('Structure | ' + ' - '.join(['%s:%d' % (layer, layer.shape[1]) for layer in self.layers]))\n\n def _check_cells(self, input_, hidden, output):\n if hidden is None:\n return [input_, int(sqrt(input_ + output)) + randint(1,11), output]\n if isinstance(hidden, int) and hidden > 0:\n return [input_, hidden, output]\n if all(map(lambda x: isinstance(x, int), hidden)):\n return [input_] + list(hidden) + [output]\n raise ValueError('hidden layer must be integer or list of integers')\n\n def _check_funcs(self, funcs, lenth_layer):\n if funcs is None:\n return ['sigm'] * (lenth_layer - 1)\n return check_activations(funcs)\n\n def _calculate_backward_error(self, predict, target):\n return 2 * (target - predict)\n\n def _forecast(self, output):\n for i, layer in enumerate(self._layers):\n output = layer.propagation(output)\n return output\n\n def _fit(self, X, Y, epoch=500, layers=None, activators=None, threashold=0.05, verbose=False):\n '''create a new model and train it.\n\n This model will help you create a model which suitable for this\n dataset and then train it. It will use the function self.create()\n at the first place, and call self.train() function following.\n '''\n X, Y = self._engine.mat(X), self._engine.mat(Y)\n assert X.shape[0] == Y.shape[0], \"number of records in X doesn't match Y\"\n self._create(X.shape[1], Y.shape[1], layers, activators)\n self._train(X, Y, epoch, verbose, threashold)\n\n def _backward(self, x, gradient):\n self._learn_rate = self._auto_adjust_learn_rate()\n for i, layer in enumerate(self._layers[::-1]):\n gradient = layer.backward(gradient, self.learn_rate)\n\n def _auto_adjust_learn_rate(self):\n return self._learn_rate\n\n def save(self, addr):\n '''Save your model to a .pkl file\n '''\n file_ = self._check_addr(addr, 'wb')\n try:\n pkl.dump(self, file_)\n finally:\n file_.close()\n return self\n\n def load(self, fp):\n file_ = self._check_addr(fp, 'rb')\n try:\n self.__setstate__(pkl.load(fp).__getstate__())\n finally:\n file_.close()\n" }, { "path": "DaPy/methods/core/pagerank.py", "content": "from time import clock\n\nfrom DaPy.core import LogInfo, Series\n\nfrom .base import BaseEngineModel\n\nclass PageRank(BaseEngineModel):\n def __init__(self, engine='numpy', random_walk_rate=0.85):\n BaseEngineModel.__init__(self, engine)\n self.random_walk_rate = random_walk_rate\n\n @property\n def random_walk_rate(self):\n return self._alpha\n\n @random_walk_rate.setter\n def random_walk_rate(self, rate):\n assert isinstance(rate, float)\n assert 0 <= rate <= 1\n self._alpha = rate\n\n def __setstate__(self, args):\n BaseEngineModel.__setstate__(self, args)\n self._alpha = args['_alpha']\n\n def __call__(self, X_mat, stochastic_matrix=None, min_error=0.0001, max_iter=1000):\n return self.transform(X_mat, stochastic_matrix, min_error, max_iter)\n\n def transform(self, stochastic_matrix, init_weight=None, min_error=0.001, max_iter=1000):\n if init_weight is None:\n init_weight = Series([1.0 / len(stochastic_matrix)] * len(stochastic_matrix))\n init_weight = self._mat(init_weight).T\n if stochastic_matrix is False:\n weight = self._weight\n self._weight = weight = self._mat(stochastic_matrix)\n assert isinstance(max_iter, int) and max_iter >= 1\n assert init_weight.shape[1] == 1, '`init_weight` should be 1-D sequence'\n assert init_weight.shape[0] == weight.shape[1], 'items in init_weight not fit the shape of weight matrix'\n \n for round_ in range(max_iter):\n X_next = self._alpha * self._dot(weight, init_weight) + (1.0 - self._alpha) / init_weight.shape[0]\n error = self._sum(self._abs(X_next - init_weight))\n init_weight = X_next\n if error < min_error:\n## LogInfo(' Early stopped iteration')\n break\n return Series(init_weight.T.tolist()[0])\n \n \n\nif __name__ == '__main__':\n weight = [\n [0, 0.9, 0, 0],\n [0.333, 0, 0, 0.5],\n [0.333, 0, 1, 0.5],\n [0.333, 0.5, 0, 0]\n ]\n initial = [0.25, 1, 0.25, 0.25]\n pageranker = PageRank(\"numpy\")\n print(pageranker(initial, weight))\n" }, { "path": "DaPy/methods/core/tfidf.py", "content": "from collections import Counter, defaultdict\nfrom heapq import nlargest\nfrom itertools import chain\nfrom math import log10\nfrom operator import itemgetter\n\nfrom .base import BaseEngineModel\n\nHEAD = ''\nEND = ''\nITEMGETTER1 = itemgetter(1)\nITEMGETTER0 = itemgetter(0)\n\ndef count_iter(iterable):\n count = 0.0\n while True:\n try:\n next(iterable)\n except StopIteration:\n return count\n count += 1.0\n \nclass TfidfCounter(BaseEngineModel):\n def __init__(self, ngram=1, engine='numpy'):\n BaseEngineModel.__init__(self, engine)\n self.ngram = ngram\n self.tfidf = {}\n\n @property\n def ngram(self):\n return self._ngram\n\n @ngram.setter\n def ngram(self, num_words):\n assert isinstance(num_words, int), 'n_gram parameter must be int'\n assert num_words >= 1, 'n_gram parameter must greater than 1.'\n self._ngram = num_words\n self._h = (HEAD,) * (self.ngram - 1)\n self._e = (END,) * (self.ngram - 1)\n\n @property\n def tfidf(self):\n return self._tfidf\n\n @tfidf.setter\n def tfidf(self, values):\n assert isinstance(values, dict)\n self._tfidf = values\n \n def __setstate__(self, args):\n BaseEngineModel.__setstate__(self, args)\n self.ngram = args['_ngram']\n\n def _pad(self, string):\n return self._h + tuple(string) + self._e\n\n def _get_ngram(self, string):\n if self._ngram == 1:\n for token in string:\n yield token\n else:\n string = self._pad(string)\n for i in range(len(string) - self._ngram + 1):\n yield string[i:i+self._ngram]\n\n def _nlargest(self, n):\n return nlargest(n, self.tfidf.items(), key=ITEMGETTER1)\n\n def nlargest(self, n):\n return dict(self._nlargest(n))\n \n def fit(self, documents, labels, min_freq=1.0, threashold=0.01):\n assert len(documents) == len(labels), 'number of documents must equal to number of labels'\n \n num_words = 0.0\n count_ngram = defaultdict(Counter)\n for row, label in zip(documents, labels):\n for pair in self._get_ngram(row):\n count_ngram[pair][label] += 1\n num_words += 1.0\n\n labels = Counter(labels)\n for label, freq in labels.items():\n labels[label] = freq * threashold\n \n selector = lambda value: value[1] >= labels[value[0]]\n self.tfidf, D = {}, len(labels) + 1.0\n for pair, counts in count_ngram.items():\n num_word = sum(counts.values())\n if num_word >= min_freq:\n tf = num_word / num_words\n df = count_iter(filter(selector, counts.items())) + 1.0\n self.tfidf[pair] = tf * log10(D / df)\n return self.tfidf\n\n def transform(self, documents, max_num_tokens=500):\n tokens = map(ITEMGETTER0, self._nlargest(max_num_tokens))\n tokens = dict((token, index) for index, token in enumerate(tokens))\n shape = len(tokens)\n \n embeddings = []\n for row in documents:\n embedding = [0.0] * shape\n for pair in self._get_ngram(row):\n if pair in tokens:\n embedding[tokens[pair]] += 1\n embeddings.append(embedding)\n return self._engine.vstack(embeddings)\n\n def fit_transform(self, documents, labels, min_freq=1.0, threashold=0.01, max_num_tokens=500):\n self.fit(documents, labels, min_freq, threashold)\n return self.transform(documents, max_num_tokens)\n \n\nif __name__ == '__main__':\n documents = [\n ['This', 'is', 'a', 'lucky', 'day'],\n ['This', 'is', 'not', 'a', 'lucky', 'day'],\n ]\n counter = TfidfCounter(2)\n print(counter.fit_transform(documents, [1, 0]))\n print(counter.tfidf)\n" }, { "path": "DaPy/methods/evaluator.py", "content": "from DaPy.core import Matrix, SeriesSet, Series\nfrom DaPy.core import LogInfo, LogWarn, LogErr, is_seq\nfrom DaPy.matlib import zeros, mean\nfrom math import sqrt\n\n\ndef ConfuMat(Y, y_, labels):\n '''calculate confution Matrix'''\n labels = sorted(set(Y) | set(y_))\n confu = zeros((len(labels) + 1, len(labels) + 1))\n temp = SeriesSet({'Y': Y, 'y': y_})\n for i, l1 in enumerate(labels):\n subtemp = temp.select(lambda row: row[0] == l1)\n for j, l2 in enumerate(labels):\n confu[i, j] = len(subtemp.select(lambda row: row[1] == l2))\n confu[i, -1] = sum(confu[i])\n \n for j in range(len(labels) + 1): \n confu[-1, j] = sum(confu[:, j].tolist()[0])\n return confu\n\ndef Accuracy(confumat):\n upper = sum([confumat[i][i] for i in range(confumat.shape[1] - 1)])\n return round(upper / float(confumat[-1][-1]), 4)\n\ndef Kappa(confumat):\n as_ = confumat[:, -1].tolist()[:-1]\n bs_ = confumat[-1][:-1]\n Po = Accuracy(confumat) /100\n upper = sum([a * b for a, b in zip(as_, bs_)])\n Pe = float(upper) / confumat[-1][-1] ** 2\n return (Po - Pe) / (1 - Pe)\n\ndef Auc(target, predict, n_bins=100):\n pos_len = sum(target)\n neg_len = len(target) - pos_len\n total = pos_len * neg_len\n pos_histogram = [0] * n_bins\n neg_histogram = [0] * n_bins\n bin_width = 1.0 / n_bins\n for tar, pre in zip(target, predict):\n nth_bin = int(pre / bin_width)\n if tar == 1:\n pos_histogram[nth_bin] += 1\n else:\n neg_histogram[nth_bin] += 1\n\n accumulate_neg, satisfied_pair = 0, 0\n for pos_his, neg_his in zip(pos_histogram, neg_histogram):\n satisfied_pair += (pos_his * accumulate_neg + pos_his * neg_his*0.5)\n accumulate_neg += neg_his\n return satisfied_pair / float(total)\n\ndef Performance(predictor, data, target, mode='reg'):\n assert mode in ('clf', 'reg'), \"`mode` must be `clf` or `reg` only.\"\n assert len(data) == len(target),\"the number of target data is not equal to variable data\"\n\n if mode == 'clf':\n result = predictor.predict(data)\n if hasattr(result, 'shape') is False:\n result = SeriesSet(result)\n if hasattr(target, 'shape') is False:\n target = SeriesSet(target)\n assert target.shape[1] == 1, 'testify target must be a sequence'\n target = target[target.columns[0]]\n if hasattr(predictor, 'labels'):\n labels = predictor.labels\n else:\n labels = sorted(set(result) | set(target))\n \n confuMat = ConfuMat(target, result, labels)\n LogInfo('Classification Accuracy: %.4f' % Accuracy(confuMat))\n LogInfo('Classification Kappa: %.4f' % Kappa(confuMat))\n if confuMat.shape[1] == 3:\n proba = predictor.predict_proba(data)\n if proba.shape[1] == 2:\n proba = proba[:, 0]\n target = Series(1 if _ == labels[0] else 0 for _ in target)\n LogInfo('Classification AUC: %.4f' % Auc(target, proba))\n return confuMat\n \n elif mode == 'reg':\n target = Series(target)\n predict = Series(predictor.predict(data).T.tolist()[0])\n mean_abs_err = Score.MAE(target, predict)\n mean_sqrt_err = Score.MSE(target, predict)\n R2 = Score.R2_score(target, predict)\n mean_abs_percent_erro = Score.MAPE(target, predict)\n LogInfo('Regression MAE: %.4f' % mean_abs_err)\n LogInfo('Regression MSE: %.4f' % mean_sqrt_err)\n LogInfo('Regression MAPE: %.4f' % mean_abs_percent_erro)\n LogInfo(u'Regression R²: %.4f' % R2)\n \n\nclass Score(object):\n \n '''performace score to evalulate a regressor'''\n\n @staticmethod\n def error(target, predict):\n if predict.shape[1] != 1:\n predict = predict.T\n assert predict.shape[0] == target.shape[0]\n return target - predict\n\n @staticmethod\n def MAE(target, predict):\n return mean(abs(Score.error(target, predict)))\n\n @staticmethod\n def MSE(target, predict):\n return mean(Score.error(target, predict) ** 2)\n\n @staticmethod\n def R2_score(target, predict):\n SSE = sum(Score.error(target, predict) ** 2)\n SST = sum((target - mean(target)) ** 2)\n return 1 - SSE / SST\n\n @staticmethod\n def MAPE(target, predict):\n return mean(abs(Score.error(target, predict) / target))\n" }, { "path": "DaPy/methods/regressors/__init__.py", "content": "from .lr import LinearRegressor\n" }, { "path": "DaPy/methods/regressors/lr.py", "content": "from DaPy.methods.core import BaseLinearModel\n\nclass LinearRegressor(BaseLinearModel):\n def __init__(self, engine='numpy', learn_rate=0.05, l1_penalty=0, l2_penalty=0, fit_intercept=True):\n BaseLinearModel.__init__(self, engine, learn_rate, l1_penalty, l2_penalty, fit_intercept)\n\n def _forecast(self, X):\n return X.dot(self._weight) + self._bias\n \n def fit(self, X, Y, epoch=500, early_stop=True, verbose=False):\n self._fit(X, Y, epoch, early_stop, verbose)\n return self\n\n def predict(self, X):\n X = self._engine.mat(X)\n return self._forecast(X)\n" }, { "path": "DaPy/methods/statistic/__init__.py", "content": "from .compare_scaler import ANOVA, MoodTest\nfrom .discriminant_analysis import DiscriminantAnalysis\nfrom .compare_position import SignTest, WicoxonTest, CoxStautTest, RunTest\nfrom .compare_position import IndependentTTest, WilcoxonMannWhitneyTest, BrownMoodTest\n\n__all__ = ['ANOVA', 'LinearRegression', 'DiscriminantAnalysis', 'SignTest']\n" }, { "path": "DaPy/methods/statistic/compare_position.py", "content": "from collections import namedtuple, Counter\nfrom DaPy.core import is_math, is_seq, SeriesSet, DataSet, Series\nfrom DaPy.matlib import mean, median, C\nfrom DaPy.operation import get_ranks\nfrom .distribution import Fcdf, Tcdf, Bcdf, Ncdf\nfrom math import sqrt\n\nBrownMoodResult = namedtuple('BrownMoodTestResult', ['Statistic', 'pvalue', 'Decision'])\nWilcoxonMannWhitneyResult = namedtuple('WilcoxonMannWhitneyTestResult', ['Statistic', 'pvalue', 'Decision'])\nRunTestResult = namedtuple('RunTestResult', ['RejectInterval', 'R'])\nCoxStautResult = namedtuple('CoxStautTestResult', ['H0', 'n', 'pvalue'])\nSignTestResult = namedtuple('SignTestResult', ['K', 'n', 'center', 'pvalue'])\nWicoxonTestResult = namedtuple('WicoxonTestResult', ['Z', 'n', 'center', 'pvalue'])\nIndTTest = namedtuple('IndependentTTest', ['T', 'n', 'center', 'pvalue'])\n\ndef IndependentTTest(x, center=0, alpha=.05):\n n, mu = len(x), mean(x)\n sigma = sum(map(lambda x: (x - mu) ** 2, x)) / (n - 1)\n t = (mu - center) / sqrt(sigma / (n - 1))\n pvalue = Tcdf(t, n-1)\n return IndTTest(t, n, center, round(pvalue, 4))\n\ndef SignTest(series, center, side='both', alpha=0.05):\n '''Sign Test is one of the most oldest method for Non-parametric Statistics\n\n Parameters\n ----------\n series : array-like\n a series of data you expect to inferen\n\n compare : float or int\n a value you expect to compare with (always the mode of series)\n\n side : str (default='both')\n\n alpha : float (default=0.5)\n the level of significant\n\n Return\n ------\n SeriesSet : the result of test\n\n References\n ----------\n Xin Wang & T.J Chu, Non-parametric Statistics (Second Edition),\n Tsinghua Publish, 2014.\n '''\n assert side in ('both', 'upper', 'lower')\n assert is_seq(series), 'Sign test expects sequence object stored data'\n assert all(map(is_math, series)), 'Sign test expects numerical data'\n assert is_math(center) is True, 'the value to compare must be a number'\n \n greater = [_ for _ in series if _ > center]\n smaller = [_ for _ in series if _ < center]\n n = len(greater) + len(smaller)\n if side == 'both':\n k, side = min(len(greater), len(smaller)), 2\n pvalue = min(Bcdf(k=k, n=n, p=0.5) * 2, 1)\n else:\n if side == 'upper':\n k = len(smaller)\n else:\n k = len(greater)\n pvalue = 1 - Bcdf(k=k, n=n, p=0.5)\n return SignTestResult(k, n, center, round(pvalue, 4))\n\ndef CoxStautTest(series, H0='increase'):\n assert H0 in ('increase', 'decrease', 'no-trend')\n assert is_seq(series), 'Sign test expects sequence object stored data'\n assert all(map(is_math, series)), 'Sign test expects numerical data'\n \n series = [r - l for l, r in zip(series, series[len(series)//2:])]\n\n if H0 == 'increase':\n r = SignTest(series, 0, 'lower')\n elif H0 == 'decrease':\n r = SignTest(series, 0, 'upper')\n else:\n r = SignTest(series, 0)\n return CoxStautResult(H0, r.n, r.pvalue)\n\ndef WicoxonTest(series, center, side='both', alpha=0.05):\n assert is_seq(series), 'Sign test expects sequence object stored data'\n assert all(map(is_math, series)), 'Sign test expects numerical data'\n assert is_math(center) is True, 'the value to compare must be a number'\n assert side == 'both', \"don't supprot single side test in thie version\"\n symbol = [1 if _ > center else 0 for _ in series]\n data = SeriesSet({'X': series, 'SYMBOL': symbol})\n\n # distance to the compare center\n data['ABS'] = data.X.apply(lambda x: abs(x - center))\n\n # rank records by distance\n data['RANK'] = get_ranks(data.ABS)\n \n # calculate the sum of ranking\n W_pos = sum(data.select(lambda row: row['SYMBOL'] == 1).RANK)\n W_neg = sum(data.select(lambda row: row['SYMBOL'] == 0).RANK)\n W = min(W_pos, W_neg)\n\n # calculate the Statistic\n n, C = float(data.shape.Ln), 0.5\n if W < n * (n + 1) / 4:\n C = -0.5\n Z = (W - n * (n + 1) / 4 + C) / (sqrt(n * (n + 1) * (2 * n + 1) / 24))\n pvalue = Ncdf(Z, 0, 1)\n return WicoxonTestResult(round(Z, 4), n, center, round(pvalue, 4))\n\ndef RunTest(series, side='both', alpha=0.05):\n assert all(map(lambda x: x in (0, 1), series)), 'data must be 1 or 0 in Run Test'\n assert side in ('both', 'upper', 'lower')\n if alpha == 'both':\n alpha = side / 2.0\n n, n1 = len(series), sum(series)\n n0 = n - n1\n R, last = 1, series[0]\n for value in series[1:]:\n if value != last:\n last = value\n R += 1\n \n r1 = round((2.0 * n1 * n0) / n * (1 + 1.96 / sqrt(n)), 2)\n r0 = round((2.0 * n1 * n0) / n * (1 - 1.96 / sqrt(n)), 2)\n return RunTestResult([r0, r1], R)\n\ndef BrownMoodTest(X, Y, side='equal', alpha=0.05):\n '''Brown-Mood Test compares the medians of two populations\n\n Parameters\n ----------\n X : array-like\n a series of data you expect to inferen\n\n Y : array-like\n a series of data you expect to inferen\n\n side : str (default='both')\n `both` -> H1: Xmed != Ymed\n `upper` -> H1: Xm > Ym\n `lower` -> H1: Xm < Ym\n\n alpha : float (default=0.5)\n the level of significant\n\n Return\n ------\n TestResult : namedtuple(Statistic, p-value, Decision)\n\n Example\n -------\n >>> from DaPy.methods.stats import median_test\n >>> X = [10, 8, 12, 16, 5, 9, 7, 11, 6]\n >>> Y = [12, 15, 20, 18, 13, 14, 9, 16]\n >>> median_test.BrownMood(X, Y, side='lower')\n BrownMoodTestResult(Statistic=-2.0748, pvalue=0.0190, Decision='H1: Mx < My')\n\n References\n ----------\n Xin Wang & T.J Chu, Non-parametric Statistics (Second Edition),\n Tsinghua Publish, 2014.\n '''\n assert side in ('equal', 'upper', 'lower')\n assert is_seq(X) and is_seq(Y), 'Brown-Mood test expects sequence object stored data'\n assert all(map(is_math, X)) and all(map(is_math, Y)), 'Brown-Mood test expects numerical data'\n\n Mxy = median(list(X) + list(Y))\n large_X = len([i for i in X if i > Mxy])\n large_Y = len([i for i in Y if i > Mxy])\n less_X = len([i for i in X if i < Mxy])\n less_Y = len([i for i in Y if i < Mxy])\n m, n = large_X + less_X, large_Y + less_Y\n t = large_X + large_Y\n k = min(m, t)\n\n upper = large_X - m * t / (m + n)\n lower = sqrt(float(m * n * t * (m + n - t)) / (m + n) ** 3)\n Z = upper / lower\n pvalue = Ncdf(Z, 0, 1)\n pvalue = min(pvalue, 1 - pvalue)\n if side == 'equal':\n pvalue *= 2\n if side == 'lower' and Z < 0 and pvalue <= alpha:\n return BrownMoodResult(Z, pvalue, 'H1: Mx < My')\n elif side == 'upper' and Z > 0 and pvalue <= alpha:\n return BrownMoodResult(Z, pvalue, 'H1: Mx > My')\n elif side == 'equal' and pvalue <= alpha:\n return BrownMoodResult(Z, pvalue, 'H1: Mx != My')\n else:\n return BrownMoodResult(Z, pvalue, 'H0: Mx == My')\n\n\ndef WilcoxonMannWhitneyTest(X, Y, side='equal', alpha=0.05):\n '''Wilcoxon-Mann-Whitney Test compares the ranks of two populations\n\n Parameters\n ----------\n X : array-like\n a series of data you expect to inferen\n\n Y : array-like\n a series of data you expect to inferen\n\n side : str (default='both')\n `both` -> H1: Xmiu != Ymiu\n `larger` -> H1: Xmiu > Ymiu\n `smaller` -> H1: Xmiu < Ymiu\n\n alpha : float (default=0.5)\n the level of significant\n\n Return\n ------\n TestResult : namedtuple(Statistic, p-value, Decision)\n\n Example\n -------\n >>> from DaPy.methods.stats import median_test\n >>> X = [10, 8, 12, 16, 5, 9, 7, 11, 6]\n >>> Y = [12, 15, 20, 18, 13, 14, 9, 16]\n >>> median_test.BrownMood(X, Y, side='lower')\n BrownMoodTestResult(Statistic=-2.0748, pvalue=0.0190, Decision='H1: Mx < My')\n\n References\n ----------\n Xin Wang & T.J Chu, Non-parametric Statistics (Second Edition),\n Tsinghua Publish, 2014.\n '''\n assert side in ('equal', 'larger', 'smaller')\n assert is_seq(X) and is_seq(Y), 'W-M-W test expects sequence object stored data'\n assert all(map(is_math, X)) and all(map(is_math, Y)), 'W-M-W test expects numerical data'\n\n # clean data\n combine_col = list(X) + list(Y)\n node_col = [i for i in Counter(combine_col).values() if i != 1]\n rank_pair_data = dict(zip(combine_col, get_ranks(combine_col)))\n rank_Y = [rank_pair_data[y] for y in Y]\n rank_X = [rank_pair_data[x] for x in X]\n\n # choose which hypothesis\n n, m = len(Y), len(X)\n Wx, Wy = sum(rank_X), sum(rank_Y)\n if side == 'equal':\n Wy = min(Wx, Wy)\n\n # do some statistic\n Wxy = Wy - n * (n + 1) / 2.0\n mn, m_n_1 = float(m * n), m + n + 1.0\n upper = Wxy - mn / 2.0\n down_left = m_n_1 / 12.0\n down_right = (sum([i ** 3 for i in node_col]) - sum(node_col)) / (12.0 * (m + n) * m_n_1)\n Z = upper / sqrt(mn * (down_left - down_right))\n pvalue = Ncdf(Z, 0, 1)\n pvalue = min(pvalue, 1 - pvalue)\n if side == 'equal':\n pvalue *= 2\n if side == 'smaller' and Z > 0 and pvalue <= alpha:\n return WilcoxonMannWhitneyResult(Z, pvalue, 'H1: Mx < My')\n elif side == 'larger' and Z < 0 and pvalue <= alpha:\n return WilcoxonMannWhitneyResult(Z, pvalue, 'H1: Mx > My')\n elif side == 'equal' and pvalue <= alpha:\n return WilcoxonMannWhitneyResult(Z, pvalue, 'H1: Mx != My')\n else:\n return WilcoxonMannWhitneyResult(Z, pvalue, 'H0: Mx == My')\n" }, { "path": "DaPy/methods/statistic/compare_scaler.py", "content": "from collections import namedtuple\nfrom DaPy.core import is_math, is_seq, is_str\nfrom DaPy.core import SeriesSet\nfrom DaPy.operation import get_ranks\nfrom .distribution import Fcdf, Ncdf\nfrom math import sqrt\n\n__all__ = ['ANOVA']\n\nANOVA_result = namedtuple('one_way_ANOVA_Result', ['F', 'pvalue'])\nMoodTestResult = namedtuple('MoodTestResult', ['Statistic', 'pvalue', 'Decision'])\n\ndef ANOVA(data, cluster):\n if not isinstance(data, SeriesSet):\n data = SeriesSet(data)\n assert data.shape.Col > 1, 'ANOVA() expects more than 1 comparing group.'\n assert data.shape.Ln > 2, 'at least 2 records in the data'\n assert is_str(cluster), '`cluster` must be a string object to represent the categorical variable in the data'\n assert is_str(control) or control == None, '`control` must be False or a string object'\n assert report in (True, False)\n assert cluster in data.columns\n cluster = [cluster]\n\n value_column = tuple(set(data.columns) - set(cluster))[0]\n SST = data[value_column].std()\n \n total_mean = data[value_column].mean()\n SSA, SSE, r, n = 0.0, 0.0, 0.0, data.shape.Ln\n for label, subset in data.iter_groupby(cluster):\n seq = subset[value_column]\n r += 1\n SSA += len(seq) * (seq.mean() - total_mean) ** 2\n SSE += len(seq) * seq.std() ** 2\n MSA = SSA / (r - 1.0)\n MSE = SSE / (n - r) if SSE != 0 else 0.00001\n F = MSA / MSE \n return ANOVA_result(F, 1 - Fcdf(F, r-1, n-r))\n\ndef MoodTest(X, Y, side='equal', alpha=0.05):\n assert side in ('equal', 'upper', 'lower')\n assert is_seq(X) and is_seq(Y), 'Mood test expects sequence object stored data'\n assert all(map(is_math, X)) and all(map(is_math, Y)), 'Mood test expects numerical data'\n\n # clean data\n m, n = len(X), len(Y)\n combine_col = list(X) + list(Y)\n rank_pair_data = dict(zip(combine_col, get_ranks(combine_col)))\n \n # statistic something\n hypothesis_mean = (m + n + 1) / 2.0\n M = sum([(rank_pair_data[x] - hypothesis_mean) ** 2 for x in X])\n EM = m * (m + n + 1) * (m + n - 1) / 12.0\n VM = m * n * (m + n + 1) * (m + n + 2) * (m + n - 2) / 180.0\n\n # calculate the statistic value\n Z = (M - EM) / sqrt(VM)\n if m + n <= 30:\n Z += 1 / (2.0 * sqrt(VM))\n\n pvalue = Ncdf(Z, 0, 1)\n pvalue = min(pvalue, 1 - pvalue)\n if side == 'equal':\n pvalue *= 2\n if side == 'smaller' and Z < 0 and pvalue <= alpha:\n return MoodTestResult(Z, pvalue, 'H1: var(X) < var(Y)')\n elif side == 'larger' and Z > 0 and pvalue <= alpha:\n return MoodTestResult(Z, pvalue, 'H1: var(X) > var(Y)')\n elif side == 'equal' and pvalue <= alpha:\n return MoodTestResult(Z, pvalue, 'H1: var(X) != var(Y)')\n else:\n return MoodTestResult(Z, pvalue, 'H0: var(X) == var(Y)')\n\n \n \n" }, { "path": "DaPy/methods/statistic/discriminant_analysis.py", "content": "from DaPy.core import DataSet, Matrix as mat, SeriesSet\nfrom DaPy.matlib import cov, mean\nfrom DaPy.operation import column_stack, row_stack\nfrom DaPy.methods.core.base import BaseEngineModel\nfrom DaPy.methods.evaluator import Accuracy, Kappa, ConfuMat\n\n__all__ = ['LinearDiscriminantAnalysis']\n\nclass DiscriminantAnalysis(BaseEngineModel):\n def __init__(self, engine='numpy', solve='FISHER'):\n BaseEngineModel.__init__(self, engine)\n self._solve = solve\n self._confumat = None\n self._report = DataSet()\n if solve.upper() == 'FISHER' and self.engine != 'numpy':\n raise AttributeError('numpy supports Fisher solution only.')\n\n @property\n def I(self):\n return self._I\n\n @property\n def C(self):\n return self._C\n\n @property\n def report(self):\n return self._report\n\n @property\n def confumat(self):\n return self._confumat\n\n def _create_report(self, **kwrds):\n self._report = DataSet()\n if self._solve.upper() == 'FISHER':\n self._report.add(self._Info(kwrds['shape']), 'Model Summary')\n self._report.add(self._Summary(), 'Model Information')\n self._report.add(self._Perf(kwrds['X']), 'Performance')\n\n def _Summary(self):\n table = SeriesSet(None, ['Function', 'Eigenvalue', 'Rate (%)', 'Cumulative (%)'])\n acf = 0\n for i, (val, valrate) in enumerate(zip(self._value, self._valrate), 1):\n acf += valrate\n table.append_row(['Func%d'%i, round(val, 4), round(valrate * 100, 4), round(acf * 100, 4)])\n return table\n \n def _Info(self, shape):\n table = SeriesSet()\n table.append_col(['X%d' % i for i in range(1, shape+1)], 'Variables')\n for i, vec in enumerate(self._vector, 1):\n table.append_col(vec.tolist()[0], 'Func%d' % i)\n return table\n\n def _Perf(self, X):\n if self._confumat is None:\n self._confumat = self._calculate_confumat(X)\n table = SeriesSet(None, ['Method', 'Accuracy (%)', 'Kappa'], nan='-')\n table.append_row([self._solve.upper(), Accuracy(self._confumat), Kappa(self._confumat)])\n return table\n \n def _calculate_confumat(self, X):\n Y, y_ = [], []\n for i, x in enumerate(X):\n base = [0] * x.shape[1]\n base[i] = 1\n Y.extend([base for k in range(x.shape[0])])\n y_.extend(self.predict(x).tolist())\n return ConfuMat(mat(Y), mat(y_)) \n\n def _calculate_xbar(self, X):\n return [self._engine.mean(x, axis=0) for x in X]\n\n def _calculate_Sp(self, X):\n df = sum([len(x) for x in X]) - len(X)\n S = [self._engine.cov(x.T) * (x.shape[0]-1) for x in X]\n Sp = (self._engine.mat(reduce(self._engine.add, S)) / df)\n return Sp\n\n def _fit_linear(self, X):\n X_bar = self._calculate_xbar(X)\n Sp = self._calculate_Sp(X).I\n I = [Sp.dot(x.T) for x in X_bar]\n C = [(-0.5) * x.dot(Sp).dot(x.T) for x in X_bar]\n return I, C\n\n def _fit_fisher(self, X, acr=1.):\n size, col = map(len, X), len(X[0].tolist()[0])\n X_bar = self._calculate_xbar(X)\n X_T = reduce(self._engine.add,\n [n*x for n, x in zip(size, X_bar)]) / sum(size)\n Sp = self._calculate_Sp(X).I\n \n H = 0\n for n, x in zip(size, X_bar):\n out_diff = (x-X_T).T\n H += out_diff.dot(out_diff.T) * n\n \n E = 0\n for x, x_bar in zip(X, X_bar):\n in_diff = (x - x_bar).T\n E += in_diff.dot(in_diff.T)\n Sp_ = E / (size[0] - col)\n delta = E.I.dot(H.T)\n values, vectors = self._engine.linalg.eig(delta)\n vectors = [vec for val, vec in zip(values, vectors) if val > 0]\n values = [val for val in values if val >=0]\n values_rate = [float(val) / sum(values) for val in values]\n acr_ = 0\n for r, valrate in enumerate(values_rate, 1):\n acr_ += valrate\n if acr_ >= acr:\n break\n return (vectors[:r], values[:r], values_rate[:r], X_bar)\n \n def _predict_linear(self, X):\n results = [X.dot(i) + c for i, c in zip(self._I, self._C)]\n return self._engine.column_stack(results)\n\n def _predict_fisher(self, X):\n results = []\n for center in self._center:\n stand_X = X - center\n results.append(row_stack([vec.dot(stand_X.T) for vec in self._vector]))\n results = [1.0 / self._engine.sum(vec ** 2, 0) for vec in results]\n return self._engine.column_stack(results)\n\n def fit(self, *X, **kwrds):\n '''\n Parameters\n ----------\n X : matrix-like\n a sequence of sample variables which seperated by class already.\n\n ACR : float (default=0.8)\n Expected accumulated contribution rate\n '''\n X = map(self._engine.mat, X)\n shape = max([x.shape[1] for x in X])\n assert all([shape == x.shape[1] for x in X]), 'variables between classes should be the same.'\n \n if self._solve.upper() == 'LINEAR':\n self._I, self._C = self._fit_linear(X)\n\n if self._solve.upper() in ['FISHER', 'TYPICAL']:\n ACR = kwrds.get('ACR', 0.8)\n (self._vector, self._value, self._valrate, self._center) = self._fit_fisher(X, ACR)\n self._create_report(shape=shape, X=X)\n\n def predict_proba(self, X):\n X = self._engine.mat(mat(X))\n if self._solve.upper() == 'LINEAR':\n score = self._engine.abs(self._predict_linear(X))\n if self._solve.upper() == 'FISHER':\n score = self._engine.abs(self._predict_fisher(X))\n return score / self._engine.sum(score, 1).reshape((X.shape[0], 1))\n \n def predict(self, X):\n X_proba = self.predict_proba(X)\n return X_proba / self._engine.max(X_proba, 1).reshape(X_proba.shape[0], 1)\n" }, { "path": "DaPy/methods/statistic/distribution.py", "content": "from DaPy.core.base import LogWarn\n\ndef unsupportedTest(*args, **kwrds):\n return '-'\n\ntry:\n from scipy.stats import f, t, binom, norm\n Fcdf, Tcdf, Bcdf, Ncdf = f.cdf, t.cdf, binom.cdf, norm.cdf\nexcept ImportError:\n Fcdf, Tcdf, Bcdf, Ncdf = unsupportedTest, unsupportedTest, unsupportedTest, unsupportedTest\n LogWarn('DaPy uses `scipy` to compute p-value, try: pip install scipy.')\n" }, { "path": "DaPy/methods/statistic/kMeans.py", "content": "# user/bin/python\n#########################################\n# Author : Feichi Yang\n# Edited by : Xuansheng Wu \n# Email : wuxsmail@163.com \n# Created : 2018-12-01 00:00 \n# Last modified : 2018-12-01 11:09\n# Filename : DaPy.stats.KMeans\n# Description : kMeans method in DaPy \n#########################################\n\nfrom collections import namedtuple\nfrom math import sqrt\nfrom warnings import warn\n\nfrom DaPy.core import DataSet, Frame\nfrom DaPy.core import Matrix as mat\nfrom DaPy.core import is_math, is_seq\nfrom DaPy.matlib import _abs as abs\nfrom DaPy.matlib import _sum as sum\nfrom DaPy.matlib import corr, log, mean\nfrom DaPy.methods.activation import UnsupportTest\nfrom DaPy.methods.tools import engine2str, str2engine\n\nwarn('this model is developing, it is still unstable right now!')\n\nclass kMeans(object):\n def __init__(self, engine):\n pass\n\n def distEclud(self, vecA, vecB):\n return dp.sqrt(sum((vecA - vecB) ** 2))\n\n def fit(self, k, data):\n dataMat = mat(data)\n m, n = dataMat.shape\n # create centroid mat\n centroids = mat(zeros((k, n)))\n # create random cluster centers, within bounds of each dimension\n for j in range(n): \n minJ = min(dataMat[:, j])\n rangeJ = float(max(dataMat[:, j]) - minJ)\n centroids[:, j] = mat(minJ + rangeJ * random.rand(k, 1))\n\n # create mat to assign data points to a centroid, also holds SE of each point\n clusterAssment = self._engine.zeros((m, 2)) \n clusterChanged = True\n while clusterChanged:\n clusterChanged = False\n # for each data point assign it to the closest centroid\n for i in range(m): \n minDist = inf\n minIndex = -1\n for j in range(k):\n distJI = self.distEclud(centroids[j, :], dataMat[i, :])\n if distJI < minDist:\n minDist = distJI\n minIndex = j\n if clusterAssment[i, 0] != minIndex:\n clusterChanged = True\n clusterAssment[i, :] = minIndex, minDist ** 2\n\n # recalculate centroids\n for cent in range(k):\n # get all the point in this cluster\n ptsInClust = dataMat[nonzero(clusterAssment[:, 0].A == cent)[0]]\n # assign centroid to mean\n centroids[cent, :] = mean(ptsInClust, axis=0) \n return centroids, dp.SeriesSet(clusterAssment[:, 0].tolist())\n\n\n\n" }, { "path": "DaPy/methods/utils.py", "content": "from DaPy.core import SeriesSet, is_iter, Series\nfrom DaPy.matlib import describe\nfrom collections import namedtuple\nfrom operator import itemgetter\n\n__all__ = ['_label', 'score_binary_clf']\n\n_binary_perf_result = namedtuple('binary_clf', ['TP', 'FN', 'FP', 'TN'])\n\n\ndef plot_reg(y_hat, y, res):\n try:\n from matplotlib import pyplot as plt\n except ImportError:\n warn('DaPy uses `matplotlib` to draw pictures, try: pip install matplotlib.')\n return None\n\n plt.subplot(311)\n plt.title('Prediction of Model')\n plt.xlabel('Samples')\n plt.ylabel('Prediction')\n plt.plot(y.T.tolist()[0], color='blue', alpha=0.65, label='Actual')\n plt.plot(y_hat.tolist()[0], color='red', alpha=0.7, label='Predict')\n plt.legend()\n \n plt.subplot(312)\n plt.title('Distribution of Residual')\n plt.xlabel('Residual')\n plt.ylabel('Frequency')\n plt.hist(res, max(10, len(y_hat) // 5), color='blue', alpha=0.6)\n \n plt.subplot(313)\n plt.title('Residual')\n plt.xlabel('Samples')\n plt.ylabel('Residual')\n sigma = [describe(res.T.tolist()[0]).Sn] * y_hat.shape[1]\n plt.plot(res, color='blue', alpha=0.6)\n plt.plot([0] * y_hat.shape[1], color='black', linestyle='--', alpha=0.5)\n plt.plot(sigma, color='black', alpha=0.25, linestyle='--')\n plt.plot(map(lambda x: -x, sigma), color='black', alpha=0.25, linestyle='--')\n\n plt.subplots_adjust(left=0.1, bottom=0.1, right=0.9, top=0.95,\n wspace=0.2, hspace=0.8)\n return plt\n\n\n" }, { "path": "DaPy/operation.py", "content": "from bisect import bisect_right, bisect_left\nfrom copy import copy\nfrom collections import Counter\nfrom operator import itemgetter\nfrom itertools import repeat\n\nfrom .core import DataSet, Frame, SeriesSet, Matrix as mat, Series\nfrom .core import is_seq, is_math, is_value, range, filter, zip, xrange\n\ndef merge(sheets=(), keys=(), how='inner'):\n '''laterally merge multiple datasets into a new dataset.\n More info with help(dp.DataSet.merge)\n\n Parameters\n ----------\n sheets : 2-D data sheet(s)\n \n keys : int, str and list\n the key column in each dataset.\n `int` -> the number of key column index;\n `str` -> the name of key column;\n `list` -> the number or names for each key column in each dataset\n\n how : 'inner', 'outer', 'left', 'right' (default='inner')\n how to handle rows which not match the columns\n `left` -> Keep only all rows in the current sheet;\n `right` -> Keep only all rows in the other sheet;\n `inner` -> Keep only rows from the common parts of two tables;\n `outer` -> Keep all rows from both sheets;\n\n Return\n ------\n sheet : merged dataset\n\n Example\n -------\n >>> import DaPy as dp\n >>> data1 = dp.SeriesSet([['A', 39, 'F'],\n ['B', 40, 'F'], ['C', 38, 'M']],\n ['Name', 'Age', 'Gender'])\n >>> data2 = dp.SeriesSet([['A', 'F', True], ['B', 'F', False],\n ['C', 'M', True]],\n ['Name', 'Gender', 'Married'])\n >>> data3 = dp.SeriesSet([['A', 'China'], ['B', 'US'],\n ['C', 'Japan'], ['D', 'England']],\n ['Name', 'Country'])\n >>> data = [data1, data2, data3]\n >>> dp.merge(data, 0, 'inner')['Name', 'Age', 'Gender', 'Married', 'Country'].show()\n Name | Age | Gender | Married | Country\n ------+-----+--------+---------+---------\n A | 39 | F | True | China \n B | 40 | F | False | US \n C | 38 | M | True | Japan\n >>> dp.merge(data, 0, 'outer')['Name', 'Age', 'Gender', 'Married', 'Country'].show()\n Name | Age | Gender | Married | Country\n ------+-----+--------+---------+---------\n A | 39 | F | True | China \n B | 40 | F | False | US \n C | 38 | M | True | Japan \n nan | nan | nan | nan | England \n '''\n if not is_seq(keys):\n keys = [keys] * len(sheets)\n assert len(keys) == len(sheets), 'keys should have same lenth as datas.'\n\n if len(sheets) == 1:\n if isinstance(sheets[0], DataSet):\n return merge(sheets[0].data, keys, how)\n raise RuntimeError('only one sheets, can not merge.')\n \n merged, left = SeriesSet(sheets[0]), keys[0]\n for right, data in zip(keys[1:], sheets[1:]):\n merged = merged.merge(data, how, left, right)\n left = right\n return merged\n\ndef delete(data, index, axis=0):\n if isinstance(index, int):\n index = [index, ]\n\n if isinstance(data, (SeriesSet, Frame)):\n if isinstance(data, Frame):\n data = Frame(data)\n else:\n data = SeriesSet(data)\n if axis == 1:\n index = tuple([data.columns[i] for i in index])\n else:\n index = tuple(sorted(index, reverse=True))\n del data[index]\n return data\n \n if not isinstance(data, mat):\n return delete(mat(copy(data)), index, axis)\n \n if axis == 1:\n new = []\n for line in data:\n for i in index:\n del line[i]\n new.append(line)\n return mat(new)\n \n if axis == 0:\n index = sorted(index, reverse=True)\n new = [line for i, line in enumerate(data) if i not in index]\n return mat(new)\n\ndef concatenate(tup, axis=0):\n '''Stack 1-D data as columns or rows into a 2-D SeriesSet\n concatenate([A, B], axis=0) -> Horizentally combine A & B\n concatenate([A, B], axis=1) -> Vertically join A & B\n Detail see: DaPy.column_stack or DaPy.row_stack\n '''\n if axis == 1:\n return column_stack(tup)\n return row_stack(tup)\n\ndef column_stack(tup):\n '''Stack 1-D data as columns into a 2-D dataset.\n\n Parameters\n ----------\n tup : sequence of 1-D or 2-D data.\n Arrays to stack. All of them must have the same first dimension.\n\n Retures\n -------\n stack\n\n Examples\n --------\n >>> one = [1, 1, 1]\n >>> two = [2, 2, 2]\n >>> else_ = [[3, 3, 3], [4, 4, 4] [5, 5, 5]]\n >>> dp.columns_stack([one, two, else])\n matrix(|1.0 2 3 3 3 |\n |1.0 2 4 4 4 |\n |1.0 2 5 5 5 |)\n '''\n if isinstance(tup, tuple):\n tup = list(tup)\n \n if isinstance(tup[0], (Frame, SeriesSet)):\n if isinstance(tup[0], Frame):\n data = Frame(tup[0])\n else:\n data = SeriesSet(tup[0])\n\n for other in tup[1:]:\n data.join(other)\n return data\n\n if isinstance(tup[0], mat):\n new = tup[0]\n for other in tup[1:]:\n assert is_value(other) is False, 'can not stack a number into a column.'\n other = mat(other)\n assert other.shape.Ln == new.shape.Ln\n for current_row, other_row in zip(new, other):\n current_row.extend(other_row)\n new._dim = mat.dims(new.shape.Ln, new.shape.Col + other.shape.Col)\n return new\n \n if not isinstance(tup[0], mat):\n tup[0] = mat(copy(tup[0]))\n return column_stack(tup)\n\ndef _repeat(val, times):\n '''create a series which contains `val` for `times`'''\n return Series(repeat(val, times))\n\ndef row_stack(tup):\n if isinstance(tup, tuple):\n tup = list(tup)\n\n if isinstance(tup[0], Series):\n tup[0] = SeriesSet(tup[0])\n\n if isinstance(tup[0], (Frame, SeriesSet)):\n if isinstance(tup[0], Frame):\n data = Frame(tup[0])\n else:\n data = SeriesSet(tup[0])\n\n for other in tup[1:]:\n data.extend(other)\n return data\n \n if not isinstance(tup[0], mat):\n if hasattr(tup[0], 'tolist'):\n tup[0] = tup[0].tolist()\n tup[0] = mat(copy(tup[0]))\n return row_stack(tup)\n \n new = copy(tup[0]).src\n for data in tup[1:]:\n if is_value(data):\n raise TypeError('can not stack a number into a row.')\n\n if hasattr(data, 'tolist'):\n data = data.tolist()\n if all(map(is_seq, data)):\n for row in data:\n new.append(row)\n else:\n new.append(data)\n return mat(new)\n\ndef get_ranks(series, duplicate='mean'):\n '''return the rank of each value in the series\n\n In this function you can choose how to rank the data\n which has multiple same value. The cumsumption of\n time is O(N*logN + 3N).\n\n Parameters\n ----------\n series : array-like\n the data you expect to sort\n \n duplicate : str (default='mean')\n how to calculate the rank for same data\n `mean` -> use average rank when appear same values\n `first` -> use the first rank of same values\n `last` -> use the last rank of same values\n\n Return\n ------\n series : the ranks of each values in the series\n\n Examples\n --------\n >>> from DaPy import get_rank\n >>> get_rank([3, 3, 2, 5, 7, 1, 4], duplicate='mean')\n [3.5, 3.5, 2, 6, 7, 1, 5]\n '''\n assert duplicate in ('mean', 'first', 'last')\n sort_series = sorted(series) # O(N*logN)\n ranks = Counter(sort_series) # O(N)\n rank = 1\n \n while rank <= len(sort_series): # O(N)\n value = sort_series[rank - 1]\n num = ranks[value]\n if num == 1 or duplicate == 'first':\n ranks[value] = rank\n elif duplicate == 'mean':\n ranks[value] = (2 * rank + (num - 1)) / 2.0\n elif duplicate == 'last':\n ranks[value] = rank + num - 1\n rank += num\n return [ranks.__getitem__(v) for v in series] # O(N)\n\ndef get_dummies(data, value=1, dtype='mat'):\n '''Convert categorical variable into dummy variables\n\n Parameters\n ----------\n data : array-like\n the data you expect to convert, it should be a 1D sequence data\n\n value : value-type (default=1)\n the value which will be used as a mark in the return object\n\n dtype : str, data structure (default='mat')\n the type of return object\n\n Examples\n --------\n >>> from DaPy import get_dummies\n >>> get_dummies([1, 1, 3, 4, 2, 3, 4, 1])\n matrix(┏ ┓\n ┃1 0 0 0┃\n ┃1 0 0 0┃\n ┃0 0 1 0┃\n ┃0 0 0 1┃\n ┃0 1 0 0┃\n ┃0 0 1 0┃\n ┃0 0 0 1┃\n ┃1 0 0 0┃\n ┗ ┛)\n >>> get_dummies(data=list('abdddcadacc'), value='f', dtype='frame')\n a | c | b | d\n ---+---+---+---\n f | 0 | 0 | 0 \n 0 | 0 | f | 0 \n 0 | 0 | 0 | f \n 0 | 0 | 0 | f \n 0 | 0 | 0 | f \n 0 | f | 0 | 0 \n f | 0 | 0 | 0 \n 0 | 0 | 0 | f \n f | 0 | 0 | 0 \n 0 | f | 0 | 0 \n 0 | f | 0 | 0 \n '''\n assert is_value(value), 'parameter should be a value, not %s' % type(value)\n assert is_seq(data), 'converted object should be a sequence'\n assert str(dtype).lower() in ('frame', 'set', 'mat', 'matrix', 'seriesset')\n set_data = sorted(set(data))\n settle = dict(zip(set_data, xrange(len(set_data))))\n dummies = [[0] * len(settle) for i in range(len(data))]\n\n for record, original in zip(dummies, data):\n record[settle[original]] = value\n\n if callable(dtype):\n return dtype(record)\n \n if dtype.lower() == 'frame':\n return Frame(dummies, settle)\n \n if dtype.lower() in ('set', 'seriesset'):\n return SeriesSet(dummies, settle)\n \n if dtype.lower() in ('mat', 'matrix'):\n return mat(dummies)\n\ndef get_categories(array, cut_points, group_name, boundary=(False, True)):\n '''values in `array` are divided into groups according to `cut_points`\n\n This function uses bisect library to impletment a lookup operation.\n The comsumption of time is O(N*logK), where K is the number of cut points.\n\n Parameters\n ----------\n array : array-like\n the data you expect to be grouped\n\n cut_points : values in list\n the boundaries of each subgroup\n\n group_names : str in list\n the name of each group\n\n boundary : bools in tuple (default=(False, True))\n how to divide the values which exactely match the boundary\n\n Return\n ------\n group_list : group_names in the list\n\n Example\n -------\n >>> from DaPy import get_group\n >>> scores = [57, 89, 90, 100]\n >>> cuts = [60, 70, 80, 90]\n >>> grades = ['F', 'D', 'C', 'B', 'A']\n >>> get_group(scores, cuts, grades, boundary=(False, True))\n ['F', 'B', 'B', 'A']\n >>> get_group(scores, cuts, grades, boundary=(True, False))\n ['F', 'B', 'A', 'A']\n '''\n assert is_seq(array), '`array` must be a sequence'\n assert is_seq(cut_points), '`cut points` must be held with a sequence'\n assert is_seq(group_name), '`group name` must be held with a sequence'\n assert isinstance(boundary, tuple) and len(boundary) == 2, '`boundary` must be a 2 dimention tuple'\n assert boundary.count(True) == 1, '`boundary` must have only single True'\n assert sorted(cut_points) == cut_points, '`cut_points` must be arranged by asceding'\n assert len(cut_points) == len(group_name) - 1\n \n if boundary[0] is True:\n return [group_name[bisect_right(cut_points, x)] for x in array]\n return [group_name[bisect_left(cut_points, x)] for x in array]\n \n\n\n\n\n\n\n \n" }, { "path": "DaPy/tests/__init__.py", "content": "" }, { "path": "DaPy/tests/scripts/performance.py", "content": "# user/bin/python2\n#########################################\n# Author : Xuansheng Wu \n# Email : wuxsmail@163.com \n# created : 2018-01-01 00:00 \n# Last modified : 2018-11-17 11:09\n# Filename : performance.py\n# Description : testify the efficiency\n# among DaPy, numpy and\n# pandas.\n#########################################\nimport DaPy as dp\nimport pandas as pd\nimport numpy as np\nfrom time import clock\n\ndef test_Pandas(files):\n # Testing of Pandas\n t1 = clock()\n data_pandas = pd.DataFrame(pd.read_csv(files))\n t2 = clock()\n for index in data_pandas.itertuples():\n this_line = index\n t3 = clock()\n data_pandas.sort_values(by='Price')\n t4 = clock()\n data_pandas.to_csv('test_Pandas.csv', index=0)\n t5 = clock()\n return t2-t1, t3-t2, t4-t3, t5-t4, t5-t1\n\ndef test_Numpy(files):\n # Testing of numpy\n t1 = clock()\n data_numpy = np.loadtxt(files, skiprows=1, delimiter=',', dtype={\n 'names': ('Date', 'Time', 'Price', 'Volume', 'Token', 'LastToken', 'LastMaxVolume'),\n 'formats': ('i4', 'S1', 'i4', 'i4', 'i4', 'i4', 'i4')},)\n t2 = clock()\n for index in data_numpy:\n this_line = index\n t3 = clock()\n data_numpy = np.sort(data_numpy, order='Price')\n t4 = clock()\n data_numpy.tofile('test_Numpy.csv', sep=',')\n t5 = clock()\n return t2-t1, t3-t2, t4-t3, t5-t4, t5-t1\n\n\ndef test_DaPy(files):\n # Testing of DaPy\n t1 = clock()\n data_dapy = dp.read(files)\n t2 = clock()\n data_dapy.toframe()\n data_dapy = data_dapy.data\n t2_ = clock()\n for line in data_dapy:\n this_line = line \n t3 = clock()\n data_dapy.sort(('Price', 'ASC'))\n t4 = clock()\n dp.save('test_DaPy.csv', data_dapy)\n t5 = clock()\n return t2-t1, t3-t2_, t4-t3, t5-t4, t5-t1\n \ndef main(files):\n dp_ = dp.Frame(None, ['Load', 'Traverse', 'Sort', 'Save', 'Total'])\n np_ = dp.Frame(None, ['Load', 'Traverse', 'Sort', 'Save', 'Total'])\n pd_ = dp.Frame(None, ['Load', 'Traverse', 'Sort', 'Save', 'Total'])\n for i in range(100):\n dp_.append(test_DaPy(files))\n np_.append(test_Numpy(files))\n pd_.append(test_Pandas(files))\n\n summary = dp.Frame(None,\n ['engine', 'Load', 'Traverse', 'Sort', 'Save', 'Total', 'Version'])\n summary.append(['DaPy', dp.mean(dp_['Load']), dp.mean(dp_['Traverse']),\n dp.mean(dp_['Sort']), dp.mean(dp_['Save']),\n dp.mean(dp_['Total']), dp.__version__])\n summary.append(['Numpy', dp.mean(np_['Load']), dp.mean(np_['Traverse']),\n dp.mean(np_['Sort']), dp.mean(np_['Save']),\n dp.mean(np_['Total']), np.__version__])\n summary.append(['Pandas', dp.mean(pd_['Load']), dp.mean(pd_['Traverse']),\n dp.mean(pd_['Sort']), dp.mean(pd_['Save']),\n dp.mean(pd_['Total']), pd.__version__])\n\n file_ = dp.DataSet()\n file_.add(summary, 'Summary Table')\n file_.add(dp_, 'DaPy')\n file_.add(np_, 'Numpy')\n file_.add(pd_, 'Pandas')\n file_.save('Performance_result.xls')\n \nif __name__ == '__main__':\n t = clock()\n main('read_csv.csv')\n print clock() - t\n" }, { "path": "DaPy/tests/scripts/test_lr.py", "content": "import DaPy as dp\nfrom DaPy.methods import LinearRegression as dp_lr\n\ndata = dp.read('advertising.csv')\nlr_dp = dp_lr('numpy')\nlr_dp.fit(data['TV':'newspaper'], data['sales'])\nlr_dp.report.show()\n" }, { "path": "DaPy/tests/scripts/test_matrix.py", "content": "import numpy as np\nimport DaPy as dp\nfrom timeit import Timer\n\nX = [[17, 2, 9, 2],\n [21, 8, 1, 46],\n [4, 3, 2, 13],\n [23, 1, 31, 3]]\n\nX_dp = dp.mat(X)\nX_np = np.mat(X)\n\ndef numpy_multi():\n X_np * X_np\n X_np * 32\n\ndef dapy_multi():\n X_dp * X_dp\n X_dp * 32\n\ndef numpy_dot():\n X_np.T.dot(X_np)\n\ndef dapy_dot():\n X_dp.T.dot(X_dp)\n\ndef numpy_attribute():\n X_np.T\n X_np.I\n np.linalg.det(X_np)\n\ndef dapy_attribute():\n X_dp.T\n X_dp.I\n X_dp.D\n\nif __name__ == '__main__':\n t1 = Timer('numpy_multi()', 'from __main__ import numpy_multi, X_np').timeit(20000)\n t2 = Timer('dapy_multi()', 'from __main__ import dapy_multi, X_dp').timeit(20000)\n t3 = Timer('numpy_dot()', 'from __main__ import numpy_dot, X_dp').timeit(20000)\n t4 = Timer('dapy_dot()', 'from __main__ import dapy_dot, X_dp').timeit(20000)\n t5 = Timer('numpy_attribute()', 'from __main__ import numpy_attribute, X_dp').timeit(200)\n t6 = Timer('dapy_attribute()', 'from __main__ import dapy_attribute, X_dp').timeit(200)\n print 'Numpy is %s time faster than DaPy in matrix multiple' % (t2 / t1)\n print 'Numpy is %s time faster than DaPy in matrix dot' % (t4 / t3)\n print 'Numpy is %s time faster than DaPy in matrix attributes(T, D, I)' % (t6 / t5)\n" }, { "path": "DaPy/tests/scripts/test_merge.py", "content": "import DaPy as dp\n\nfor key in (True, False, 'other', 'self'):\n for same in (True, False):\n left = dp.SeriesSet([\n ['Alan', 35],\n ['Bob', 27],\n ['Charlie', 30],\n ['Daniel', 29]],\n ['Name', 'Age'])\n right = dp.SeriesSet([['Alan', 'M', 35],\n ['Bob', 'M', 27],\n ['Charlie', 'F', 30],\n ['Janny', 'F', 26]],\n ['Name', 'gender', 'Age'])\n \n print 'MERGE with keep_key=%s and keep_same=%s' % (key, same)\n left.merge(right, 'Name', 'Name', keep_key=key, keep_same=same)\n print left.show()\n print\ndata1 = dp.SeriesSet([['A', 39, 'F'], ['B', 40, 'F'], ['C', 38, 'M']],\n ['Name', 'Age', 'Gender'])\ndata2 = dp.Frame([['A', 'F', True], ['B', 'F', False], ['C', 'M', True]],\n ['Name', 'Gender', 'Married'])\n\ndata3 = [['A', 'China'], ['B', 'US'], ['C', 'Japan'], ['D', 'England']]\nprint dp.merge(data1, data2, data3, keys=0, keep_key='self', keep_same=False, ).show()\n" }, { "path": "DaPy/tests/scripts/test_methods.py", "content": "from DaPy import datasets\nfrom DaPy.methods import MLP, LDA\n\niris, info = datasets.iris()\niris.normalized()\niris.shuffle()\nX, Y = iris[:' petal width'], iris['Iris-setosa':]\n\nmlp = MLP()\nmlp.fit(X[:120], Y[:120], 5000)\nmlp.performance(X[120:], Y[120:])\nmlp.report.show()\nmlp.plot_error()\n\n\nclass1 = iris.select('Iris-setosa == 1')[:' petal width']\nclass2 = iris.select('Iris-versicolor == 1')[:' petal width']\nclass3 = iris.select('Iris-virginica == 1')[:' petal width']\n\nlda = LDA()\nlda.fit(class1, class2, class3)\nlda.report.show()\nlda.predict(X[120:])\n\nlda = LDA(solve='fisher')\nlda.fit(class1, class2, class3)\nlda.report.show()\nlda.predict(X[120:])\n" }, { "path": "DaPy/tests/test_CoreBaseIndexArray.py", "content": "from unittest import TestCase\nfrom collections import OrderedDict\nfrom datetime import datetime\nfrom DaPy.core.base.IndexArray import SortedIndex\n\nTABLE_DATA = [[1, 2, 3, 4], [3, 4, None, 6], [6, 7, 8, 9], [3, 1, 2, 7]]\n\n\nclass Test_Tools(TestCase):\n def setUp(self):\n self.src = [4, 23, 31, 33, 34, 34, 21, 23, 33]\n self.ind = SortedIndex(self.src)\n \n def test_init(self):\n self.assertEqual(self.ind._val, [4, 21, 23, 23, 31, 33, 33, 34, 34])\n self.assertEqual(self.ind._ind, [0, 6, 1, 7, 2, 3, 8, 4, 5])\n self.assertEqual(len(self.ind), 9)\n self.assertEqual(str(self.ind),\n 'SortedIndex([4, 21, 23, 23, 31, 33, 33, 34, 34])')\n \n def test_getitem(self):\n self.assertEqual(self.ind[1], (6, 21))\n self.assertEqual(self.ind[1:3], ([6, 1], [21, 23]))\n\n def test_between(self):\n self.assertEqual(self.ind.between(23, 33, (True, True), True),\n [23, 23, 31, 33, 33])\n self.assertEqual(self.ind.between(23, 33, (False, True), True),\n [31, 33, 33])\n self.assertEqual(self.ind.between(23, 33, (True, False), True),\n [23, 23, 31])\n self.assertEqual(self.ind.between(23, 33, (False, False), True),\n [31])\n\n def test_index(self):\n self.assertEqual(self.ind.index(23), [1, 7])\n self.assertEqual(self.ind.index(4), [0])\n self.assertEqual(self.ind.index(34), [4, 5])\n self.assertEqual(self.ind.index(21), [6])\n\n def test_equal(self):\n self.assertEqual(self.ind.equal(33), [3, 8])\n self.assertEqual(self.ind.equal(56), [])\n self.assertEqual(self.ind.equal(1), [])\n\n def test_unequal(self):\n self.assertEqual(self.ind.unequal(33), list(set([0, 1, 2, 4, 5, 6, 7])))\n\n def test_lower(self):\n self.assertEqual(self.ind.lower(21, True), [0, 6])\n self.assertEqual(self.ind.lower(21, False), [0])\n\n \n" }, { "path": "DaPy/tests/test_CoreBaseSeries.py", "content": "from unittest import TestCase\nfrom collections import OrderedDict\nfrom datetime import datetime\nfrom DaPy.core.base.IndexArray import SortedIndex\n\nTABLE_DATA = [[1, 2, 3, 4], [3, 4, None, 6], [6, 7, 8, 9], [3, 1, 2, 7]]\n\n\nclass Test_Tools(TestCase):\n def setUp(self):\n self.src = [4, 23, 31, 33, 34, 34, 21, 23, 33]\n self.ind = SortedIndex(self.src)\n \n def test_init(self):\n self.assertEqual(self.ind._val, [4, 21, 23, 23, 31, 33, 33, 34, 34])\n self.assertEqual(self.ind._ind, [0, 6, 1, 7, 2, 3, 8, 4, 5])\n self.assertEqual(len(self.ind), 9)\n self.assertEqual(str(self.ind),\n 'SortedIndex([4, 21, 23, 23, 31, 33, 33, 34, 34])')\n \n def test_getitem(self):\n self.assertEqual(self.ind[1], (6, 21))\n self.assertEqual(self.ind[1:3], ([6, 1], [21, 23]))\n\n def test_between(self):\n self.assertEqual(self.ind.between(23, 33, (True, True), True),\n [23, 23, 31, 33, 33])\n self.assertEqual(self.ind.between(23, 33, (False, True), True),\n [31, 33, 33])\n self.assertEqual(self.ind.between(23, 33, (True, False), True),\n [23, 23, 31])\n self.assertEqual(self.ind.between(23, 33, (False, False), True),\n [31])\n\n def test_index(self):\n self.assertEqual(self.ind.index(23), [1, 7])\n self.assertEqual(self.ind.index(4), [0])\n self.assertEqual(self.ind.index(34), [4, 5])\n self.assertEqual(self.ind.index(21), [6])\n\n def test_equal(self):\n self.assertEqual(self.ind.equal(33), [3, 8])\n self.assertEqual(self.ind.equal(56), [])\n self.assertEqual(self.ind.equal(1), [])\n\n def test_unequal(self):\n self.assertEqual(self.ind.unequal(33), list(set([0, 1, 2, 4, 5, 6, 7])))\n\n def test_lower(self):\n self.assertEqual(self.ind.lower(21, True), [0, 6])\n self.assertEqual(self.ind.lower(21, False), [0])\n\n \n" }, { "path": "DaPy/tests/test_CoreBaseSheet.py", "content": "from unittest import TestCase\nfrom collections import OrderedDict\nfrom DaPy import SeriesSet, nan, Series\nfrom copy import copy\n\nDICT_DATA = OrderedDict(A=[1, 3, 6])\nDICT_DATA['B'] = [2, 4, 7]\nDICT_DATA['C'] = [3, None, 8]\nDICT_DATA['D'] = [4, 6, 9]\nSEQ_DATA = [1, 3, None, 2, 4]\nTABLE_DATA = [[1, 2, 3, 4],\n [3, 4, None, 6],\n [6, 7, 8, 9]]\nTABLE_COL = ['A', 'B', 'C', 'D']\nROW_1 = ['ROW1', 'ROW1', None, 'ROW1']\nROW_2 = ['ROW2', 'ROW2', 'ROW3', 'ROW4', 'ROW5']\n\nclass Test0_InitData(TestCase):\n '''Test initialize sheet structures\n '''\n \n def isinit_sheet_success(self, table, data, shape, col, nan, miss):\n for (lcol, table_col), (rcol, data_col) in zip(table.items(), data.items()):\n assert all(table_col == data_col), '%s:%s != %s:%s' % (lcol, table_col, rcol, data_col)\n self.assertEqual(tuple(table.shape), shape)\n self.assertEqual(table.columns, col)\n self.assertEqual(table.nan, nan)\n self.assertEqual(table.missing, miss)\n \n def test_init_table(self):\n # self.isinit_sheet_success(Frame(TABLE_DATA, TABLE_COL), TABLE_DATA, (3, 4), TABLE_COL, None, [0, 0, 1, 0])\n self.isinit_sheet_success(SeriesSet(TABLE_DATA, TABLE_COL, None), DICT_DATA, (3, 4), TABLE_COL, None, [0, 0, 1, 0])\n\n def test_init_dict(self):\n # self.isinit_sheet_success(Frame(DICT_DATA), TABLE_DATA, (3, 4), TABLE_COL, None, [0, 0, 1, 0])\n self.isinit_sheet_success(SeriesSet(DICT_DATA, nan=None), DICT_DATA, (3, 4), TABLE_COL, None, [0, 0, 1, 0])\n\n def test_init_seq(self):\n dcol = SeriesSet(SEQ_DATA, 'T1', None)\n #self.isinit_sheet_success(dframe, [[1], [3], [None], [2], [4]], (5, 1), ['T1'], None, [1])\n self.isinit_sheet_success(dcol, OrderedDict(T1=SEQ_DATA), (5, 1), ['T1'], None, [1])\n\n #def test_init_frame(self):\n #original = Frame(TABLE_DATA, TABLE_COL, None)\n # self.isinit_sheet_success(Frame(original), TABLE_DATA, (3, 4), TABLE_COL, None, [0, 0, 1, 0])\n #self.isinit_sheet_success(SeriesSet(original, nan=None), DICT_DATA, (3, 4), TABLE_COL, None, [0, 0, 1, 0])\n\n def test_init_col(self):\n original = SeriesSet(TABLE_DATA, TABLE_COL, None)\n # self.isinit_sheet_success(Frame(original), TABLE_DATA, (3, 4), TABLE_COL, None, [0, 0, 1, 0])\n self.isinit_sheet_success(SeriesSet(original, nan=None), DICT_DATA, (3, 4), TABLE_COL, None, [0, 0, 1, 0])\n # self.isinit_sheet_success(Frame(original, 'NAN'), TABLE_DATA, (3, 4), ['NAN_0', 'NAN_1', 'NAN_2', 'NAN_3'], None, [0, 0, 1, 0])\n self.isinit_sheet_success(SeriesSet(original, 'NAN', nan=None), DICT_DATA, (3, 4), ['NAN_0', 'NAN_1', 'NAN_2', 'NAN_3'], None, [0, 0, 1, 0])\n\n def test_init_empty(self):\n # self.isinit_sheet_success(Frame(), [], (0, 0), [], None, [])\n self.isinit_sheet_success(SeriesSet(nan=None), OrderedDict(), (0, 0), [], None, [])\n # self.isinit_sheet_success(Frame(columns=['A', 'B']), [], (0, 2), ['A', 'B'], None, [0, 0])\n self.isinit_sheet_success(SeriesSet(columns=['A', 'B'], nan=None),\n OrderedDict(A=Series([]), B=Series([])),\n (0, 2),\n ['A', 'B'], None, [0, 0])\n\n\nclass Test2_Transfer(TestCase):\n def setUp(self):\n import numpy as np\n self.np = np\n import pandas as pd\n self.pd = pd\n \n def test_numpy_dapy(self):\n arr = self.np.array(TABLE_DATA)\n \n sheet = SeriesSet(arr, nan=None)\n self.assertEqual(tuple(sheet.shape), (3, 4))\n self.assertEqual(sheet.missing, [0, 0, 1, 0])\n self.assertEqual(sheet[0], [1, 2, 3, 4])\n self.assertEqual(sheet.columns, ['C_0', 'C_1', 'C_2', 'C_3'])\n \n arr = self.np.array(sheet)\n self.assertEqual(arr.shape, (3, 4))\n assert (arr[0] == [1, 2, 3, 4]).all()\n\n def test_pandas_dapy(self):\n df = self.pd.DataFrame(DICT_DATA)\n\n sheet = SeriesSet(df)\n self.assertEqual(tuple(sheet.shape), (3, 4))\n self.assertEqual(sheet.missing, [0, 0, 1, 0])\n self.assertEqual(sheet.columns, ['A', 'B', 'C', 'D'])\n\n df = self.pd.DataFrame(sheet.todict())\n self.assertEqual(df.shape, (3, 4))\n assert (df.columns == ['A', 'B', 'C', 'D']).all()\n\n\nclass Test1_CoreOperations(TestCase):\n def setUp(self):\n pass\n\n def test_getitem(self):\n def _test_getitem_by_int(sheet):\n row = sheet[0]\n from DaPy.core.base.Row import Row\n self.assertEqual(type(row), Row)\n self.assertEqual(row, [1, 2, 3, 4])\n\n def _test_getitem_by_str(sheet):\n ser = sheet['A']\n self.assertEqual(type(ser), Series)\n self.assertEqual(ser, [1, 3, 6])\n\n def _test_getitem_by_int_slice(sheet):\n subset = sheet[:2]\n self.assertEqual(tuple(subset.shape), (2, 4))\n self.assertEqual(subset.missing, [0, 0, 1, 0])\n self.assertEqual(subset[0], [1, 2, 3, 4])\n self.assertEqual(subset[1], [3, 4, None, 6])\n self.assertEqual(subset.columns, TABLE_COL)\n\n def _test_getitem_by_str_slice(sheet):\n subset = sheet['A': 'C']\n self.assertEqual(tuple(subset.shape), (3, 3))\n self.assertEqual(subset.missing, [0, 0, 1])\n self.assertEqual(subset[0], [1, 2, 3])\n self.assertEqual(subset[1], [3, 4, None])\n self.assertEqual(subset.columns, ['A', 'B', 'C'])\n\n def _test_getitem_by_int_tuple(sheet):\n subset = sheet[0, 0, 1, 1]\n self.assertEqual(tuple(subset.shape), (4, 4))\n self.assertEqual(subset.missing, [0, 0, 2, 0])\n self.assertEqual(subset[0], [1, 2, 3, 4])\n self.assertEqual(subset[1], [1, 2, 3, 4])\n self.assertEqual(subset[2], [3, 4, None, 6])\n self.assertEqual(subset[3], [3, 4, None, 6])\n self.assertEqual(subset.columns, ['A', 'B', 'C', 'D'])\n\n def _test_getitem_by_str_tuple(sheet):\n subset = sheet['A', 'A', 'C', 'C']\n self.assertEqual(tuple(subset.shape), (3, 4))\n self.assertEqual(subset.missing, [0, 0, 1, 1])\n self.assertEqual(subset[0], [1, 1, 3, 3])\n self.assertEqual(subset[1], [3, 3, None, None])\n self.assertEqual(subset[2], [6, 6, 8, 8])\n self.assertEqual(subset.columns, ['A', 'A_1', 'C', 'C_1'])\n sheet = SeriesSet(TABLE_DATA, TABLE_COL, nan=None)\n _test_getitem_by_int(sheet)\n _test_getitem_by_str(sheet)\n _test_getitem_by_int_slice(sheet)\n _test_getitem_by_str_slice(sheet)\n _test_getitem_by_int_tuple(sheet)\n _test_getitem_by_str_tuple(sheet)\n\n def test_append(self):\n def _test_append_row(sheet):\n sheet.append_row(ROW_1)\n sheet.append_row(ROW_2)\n sheet.append_row(dict(A=9, B=9, C=9, D=9, E=9))\n self.assertEqual(tuple(sheet.shape), (6, 6))\n self.assertEqual(sheet.missing, [0, 0, 2, 0, 5, 5])\n self.assertEqual(sheet[0], [1, 2, 3, 4, None, None])\n self.assertEqual(sheet[-3], ['ROW1', 'ROW1', None, 'ROW1', None, None])\n self.assertEqual(sheet[-1], [9, 9, 9, 9, None, 9])\n \n def _test_append_col(sheet):\n sheet.append_col(ROW_1)\n sheet.append_col(ROW_2)\n self.assertEqual(tuple(sheet.shape), (5, 6))\n self.assertEqual(sheet.missing, [2, 2, 3, 2, 2, 0])\n self.assertEqual(sheet[0], [1, 2, 3, 4, 'ROW1', 'ROW2'])\n self.assertEqual(sheet[-1], [None, None, None, None, None, 'ROW5'])\n _test_append_row(SeriesSet(TABLE_DATA, TABLE_COL, nan=None))\n _test_append_col(SeriesSet(TABLE_DATA, TABLE_COL, nan=None))\n\n def test_insert(self):\n def _test_insert_row(sheet):\n sheet.insert_row(0, ROW_1)\n sheet.insert_row(1, ROW_2)\n self.assertEqual(tuple(sheet.shape), (5, 5))\n self.assertEqual(sheet.missing, [0, 0, 2, 0, 4])\n self.assertEqual(sheet.columns, ['A', 'B', 'C', 'D', 'C_4'])\n self.assertEqual(sheet[0], ['ROW1', 'ROW1', None, 'ROW1', None])\n self.assertEqual(sheet[1], ROW_2)\n self.assertEqual(sheet[-1], [6, 7, 8, 9, None])\n def _test_insert_col(sheet):\n sheet.insert_col(0, ROW_1)\n sheet.insert_col(1, ROW_2)\n self.assertEqual(tuple(sheet.shape), (5, 6))\n self.assertEqual(sheet.missing, [2, 0, 2, 2, 3, 2])\n self.assertEqual(sheet.columns, ['C_4', 'C_5', 'A', 'B', 'C', 'D']) \n self.assertEqual(sheet[0], ['ROW1', 'ROW2', 1, 2, 3, 4])\n self.assertEqual(sheet[2], [None, 'ROW3', 6, 7, 8, 9])\n self.assertEqual(sheet[-1], [None, 'ROW5', None, None, None, None])\n _test_insert_row(SeriesSet(TABLE_DATA, TABLE_COL, nan=None))\n _test_insert_col(SeriesSet(TABLE_DATA, TABLE_COL, nan=None))\n\n\n def test_extend(self):\n sheet1 = SeriesSet(TABLE_DATA, TABLE_COL, nan=None)\n sheet2 = SeriesSet(TABLE_DATA, TABLE_COL, nan=None)\n sheet = sheet1.extend(sheet2)\n self.assertEqual(tuple(sheet.shape), (6, 4))\n self.assertEqual(sheet.missing, [0, 0, 2, 0])\n self.assertEqual(sheet.columns, ['A', 'B', 'C', 'D'])\n self.assertEqual(sheet[0], [1, 2, 3, 4])\n self.assertEqual(sheet[3], [1, 2, 3, 4])\n\n def test_join(self):\n sheet1 = SeriesSet(TABLE_DATA, TABLE_COL, nan=None)\n sheet2 = SeriesSet(TABLE_DATA, TABLE_COL, nan=None)\n sheet2.append_col(['K', 'K'], 'K_col')\n sheet = sheet1.join(sheet2)\n self.assertEqual(tuple(sheet.shape), (3, 9))\n self.assertEqual(sheet.missing, [0, 0, 1, 0, 0, 0, 1, 0, 1])\n self.assertEqual(sheet.columns, ['A', 'B', 'C', 'D', 'A_1', 'B_1', 'C_1', 'D_1', 'K_col'])\n\n def test_merge(self):\n left = SeriesSet([\n ['Alan', 35],\n ['Bob', 27],\n ['Charlie', 30],\n ['Daniel', 29]],\n ['Name', 'Age'],\n '')\n right = SeriesSet([['Alan', 'M', 35],\n ['Bob', 'M', 27],\n ['Charlie', 'F', 30],\n ['Janny', 'F', 26]],\n ['Name', 'gender', 'Age'],\n '')\n\n new = left.merge(right, 'outer', 'Name', 'Name')\n self.assertEqual(tuple(new.shape), (5, 5))\n self.assertEqual(new.missing, [1, 1, 1, 1, 1])\n self.assertEqual(new.columns, ['Name', 'Age', 'Name_1', 'gender', 'Age_1'])\n self.assertEqual(new[0], ['Alan', 35, 'Alan', 'M', 35])\n self.assertEqual(new[-1], ['', '', 'Janny', 'F', 26])\n \n new = left.merge(right, 'inner', 'Name', 'Name').sort('Name')\n self.assertEqual(tuple(new.shape), (3, 5))\n self.assertEqual(new.missing, [0, 0, 0, 0, 0])\n self.assertEqual(new.columns, ['Name', 'Age', 'Name_1', 'gender', 'Age_1'])\n self.assertEqual(new[0], ['Alan', 35, 'Alan', 'M', 35])\n self.assertEqual(new[-1], ['Charlie', 30, 'Charlie', 'F', 30])\n \n new = left.merge(right, 'left', 'Name', 'Name')\n self.assertEqual(tuple(new.shape), (4, 5))\n self.assertEqual(new.missing, [0, 0, 1, 1, 1])\n self.assertEqual(new.columns, ['Name', 'Age', 'Name_1', 'gender', 'Age_1'])\n self.assertEqual(new[0], ['Alan', 35, 'Alan', 'M', 35])\n self.assertEqual(new[-1], ['Daniel', 29, '', '', ''])\n\n new = left.merge(right, 'right', 'Name', 'Name')\n self.assertEqual(tuple(new.shape), (4, 5))\n self.assertEqual(new.missing, [0, 0, 0, 1, 1])\n self.assertEqual(new.columns, ['Name', 'gender', 'Age', 'Name_1', 'Age_1'])\n self.assertEqual(new[0], ['Alan', 'M', 35, 'Alan', 35])\n self.assertEqual(new[-1], ['Janny', 'F', 26, '', ''])\n\n def test_drop(self):\n data = SeriesSet(TABLE_DATA, TABLE_COL, None)\n data.drop(0, inplace=True)\n data.drop(2, axis=1, inplace=True)\n self.assertEqual(tuple(data.shape), (2, 3))\n self.assertEqual(data.missing, [0, 0, 0])\n self.assertEqual(data.columns, ['A', 'B', 'D'])\n self.assertEqual(data[0], [3, 4, 6])\n\n\n def test_reshape(self):\n data = SeriesSet(TABLE_DATA, TABLE_COL, None)\n new = data.reshape((6, 2))\n self.assertEqual(tuple(new.shape), (6, 2))\n self.assertEqual(new.missing, [1, 0])\n self.assertEqual(new.columns, ['C_0', 'C_1'])\n self.assertEqual(new[0], [1, 2])\n self.assertEqual(new[-1], [8, 9])\n\n def test_get(self):\n data = SeriesSet(TABLE_DATA, TABLE_COL, None)\n self.assertEqual(data.get('TEST'), None)\n \n def test_count(self):\n data = SeriesSet(TABLE_DATA, TABLE_COL, None)\n self.assertEqual(data.count(2), 1)\n self.assertEqual(sorted(data.count([2, 3]).values()), [1, 2])\n self.assertEqual(sorted(data.count([2, 3]).keys()), [2, 3])\n self.assertEqual(data.count(None, (1, 2), (0, 1)), 1)\n\n def test_count_values(self):\n test = SeriesSet([\n ['Alan', 35],\n ['Bob', 27],\n ['Charlie', 30],\n ['Daniel', 29],\n ['Daniel', 29]],\n ['Name', 'Age'],\n '')\n self.assertEqual(dict(test.count_values('Name')),\n {'Alan': 1, 'Bob': 1, 'Charlie': 1, 'Daniel': 2})\n\n def test_pop(self):\n def pop_row(sheet):\n rows = sheet.pop_row([0, 1])\n self.assertEqual(tuple(rows.shape), (2, 2))\n self.assertEqual(rows.missing, [1, 0])\n self.assertEqual(rows.columns, ['Name', 'Age'])\n self.assertEqual(rows[0], ['Alan', 35])\n self.assertEqual(rows[1], ['', 3])\n\n def pop_col(sheet):\n rows = sheet.pop_col([0])\n self.assertEqual(tuple(rows.shape), (6, 1))\n self.assertEqual(rows.missing, [1])\n self.assertEqual(rows.columns, ['Name'])\n self.assertEqual(rows[0], ['Alan'])\n self.assertEqual(tuple(sheet.shape), (6, 1))\n self.assertEqual(sheet.columns, ['Age'])\n\n pop_row(SeriesSet([\n ['Alan', 35],\n ['', 3],\n ['Bob', 27],\n ['Charlie', 30],\n ['Daniel', 29],\n ['Daniel', 29]],\n ['Name', 'Age'],\n ''))\n pop_col(SeriesSet([\n ['Alan', 35],\n ['', 3],\n ['Bob', 27],\n ['Charlie', 30],\n ['Daniel', 29],\n ['Daniel', 29]],\n ['Name', 'Age'],\n ''))\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n" }, { "path": "DaPy/tests/test_CoreBaseTools.py", "content": "from unittest import TestCase\nfrom collections import OrderedDict\nfrom datetime import datetime\nfrom DaPy.core.base.utils import (\n auto_str2value, argsort, hash_sort, auto_plus_one,\n is_value, is_math, is_iter, is_seq\n)\nfrom DaPy.operation import (\n merge, delete, concatenate, column_stack, row_stack,\n get_ranks, get_dummies, get_categories\n)\n\nTABLE_DATA = [[1, 2, 3, 4], [3, 4, None, 6], [6, 7, 8, 9], [3, 1, 2, 7]]\n\n\nclass Test_Tools(TestCase): \n def test_str2value(self):\n self.assertEqual(auto_str2value('3.24'), 3.24)\n self.assertEqual(auto_str2value('3'), 3)\n self.assertEqual(auto_str2value('3.5%'), 0.035)\n self.assertEqual(auto_str2value('20170210'), 20170210)\n self.assertEqual(auto_str2value('20170210', 'datetime'), datetime(2017, 2, 10))\n self.assertEqual(auto_str2value('True'), True)\n self.assertEqual(auto_str2value('no'), False)\n \n def test_GetSortedIndex(self):\n self.assertEqual(argsort([3, 1, 2, 6, 4, 2, 1, 3]),\n (1, 6, 2, 5, 0, 7, 4, 3))\n\n def test_hash_sort(self):\n self.assertEqual(\n hash_sort(TABLE_DATA, (0, 'DESC'), (3, 'DESC')),\n [[6, 7, 8, 9],\n [3, 1, 2, 7],\n [3, 4, None, 6],\n [1, 2, 3, 4]])\n\n def test_autoone(self):\n func = auto_plus_one\n exist = []\n self.assertEqual(func([], 'A'), 'A_1')\n self.assertEqual(func(['A'], 'A'), 'A_1')\n self.assertEqual(func(['A', 'A'], 'A'), 'A_1')\n self.assertEqual(func(['A', 'A_1'], 'A'), 'A_2')\n\n def test_isvalue(self):\n self.assertEqual(is_value(3), True)\n self.assertEqual(is_value(datetime(2018, 1, 1)), True)\n self.assertEqual(is_value([]), False)\n\n def test_ismath(self):\n self.assertEqual(is_math(3.5), True)\n self.assertEqual(is_math(datetime(2018, 1, 1)), False)\n\n def test_group(self):\n scores = [57, 89, 90, 100]\n cuts = [60, 70, 80, 90]\n grades = ['F', 'D', 'C', 'B', 'A']\n self.assertEqual(get_categories(scores, cuts, grades, boundary=(False, True)),\n ['F', 'B', 'B', 'A'])\n self.assertEqual(get_categories(scores, cuts, grades, boundary=(True, False)),\n ['F', 'B', 'A', 'A'])\n \n" }, { "path": "DaPy/tests/test_methods.py", "content": "from unittest import TestCase\n\nfrom DaPy import datasets, io, Series, exp\nfrom DaPy.methods.classifiers import MLPClassifier\nfrom DaPy.methods.evaluator import Performance, Kappa\nio.encode()\n\nclass Test_Tools(TestCase):\n def setUp(self):\n iris, info = datasets.iris()\n iris = iris.data\n iris.normalized()\n iris.shuffle(inplace=True)\n self.X, self.Y = iris[:'petal width'], iris['class']\n \n def test_mlpclf(self):\n mlp = MLPClassifier('numpy', 0.001)\n mlp.fit(self.X[:120], self.Y[:120], 500, verbose=False)\n confu = Performance(mlp, self.X[120:], self.Y[120:], 'clf')\n self.assertEqual(Kappa(confu) > 0.75, True)\n##\n##from DaPy.methods.regressors import LinearRegressor\n##from DaPy.methods.classifiers import LogistClassifier\n##from random import random\n##\n##X = [[2, 3, 7], [1, 4, 2], [3, 9, 1], [5, 1, 4], [-2, -7, 5], [-5, -1, 2]]\n##Y = list(map(lambda x1, x2, x3: x1 * 5 - x2 * 3 + 1 + random(), *zip(*X)))\n##lr = LinearRegressor('numpy', 0.005, 0, 0, True)\n##lr.fit(X, Y, epoch=200, early_stop=False)\n##Performance(lr, X, Y)\n##\n##X = [[1, 2], [1, 3], [0, 3], [1, 2], [0, 1], [1, 2], [0, 0], [0, 1]]\n##Y = ['M', 'M', 'M', 'M', 'F', 'F', 'F', 'F']\n##lr = LogistClassifier()\n##lr.fit(X, Y, epoch=200, early_stop=False)\n##print(Performance(lr, X, Y, 'clf'))\n\n##class1 = iris.select('Iris-setosa == 1')[:' petal width']\n##class2 = iris.select('Iris-versicolor == 1')[:' petal width']\n##class3 = iris.select('Iris-virginica == 1')[:' petal width']\n##\n##lda = LDA()\n##lda.fit(class1, class2, class3)\n##lda.report.show()\n##lda.predict(X[120:])\n##\n##lda = LDA(solve='fisher')\n##lda.fit(class1, class2, class3)\n##lda.report.show()\n##lda.predict(X[120:])\n" }, { "path": "README.md", "content": "\nThis open source framework fluently implements your ideas for data mining.\n\n# DaPy - Enjoy the Tour in Data Mining\n\n![](https://img.shields.io/badge/Version-1.11.1-green.svg) ![](https://img.shields.io/badge/Python2-pass-green.svg)![](https://img.shields.io/badge/Python3-pass-green.svg)![](https://img.shields.io/badge/Download-PyPi-green.svg) ![](https://img.shields.io/badge/License-GNU-blue.svg)\n\n[中文版](https://github.com/JacksonWuxs/DaPy/blob/master/README_Chinese.md)\n\n### Overview\n\nDaPy is a data analysis library designed with ease of use in mind and it lets you smoothly implement your thoughts by providing well-designed **data structures** and abundant **professional ML models**. There has been a lot of famous data operation modules already like Pandas, but there is no module, which\n\n* supports writing codes in Chain Programming;\n* multi-threading safety data containers;\n* operates feature engineering methods with simple APIs;\n* handles data as easily as using Excel (do not pay attention to data structures);\n* shows the log of each steps on console like MySQL.\n\nThus, DaPy is more suitable for data analysts, statistic professors and who works with big data with limited computer knowledge than the engineers. In DaPy, our data structure offers 70 APIs for data mining, including 40+ data operation functions, 10+ feature engineering functions and 15+ data exploring functions.\n\n### Example\n\nThis example simply shows the characters of DaPy of **chain programming**, **working log** and **simple feature engineering methods**. Our goal in this example is to train a classifier for Iris classification task. Detail information can be read from [here](https://github.com/JacksonWuxs/DaPy/blob/master/doc/Quick%20Start/English.md).\n\n![](https://github.com/JacksonWuxs/DaPy/blob/master/doc/Quick%20Start/quick_start.gif)\n\n### Features of DaPy\n\nWe already have abundant of great libraries for data science, why we need DaPy? \n\nThe answer is *DaPy is designed for data analysts, not for coders.* In DaPy, users only need to focus on their thought of handling data, and pay less attention to coding tricks. For example, in contrast with Pandas, DaPy supports you manipulating data by rows as same as using SQL. Here are just a few of things that make DaPy simple: \n\n- Variety of ways to visualize data in CMD\n- 2D data sheet structures following Python syntax habits\n- SQL-like APIs to process data\n- Thread-safety data container\n- Variety functions for preprocessing and feature engineering\n- Flexible IO tools for loading and saving data (e.g. Website, Excel, Sqlite3, SPSS, Text)\n- Built-in basic models (e.g. Decision Tree, Multilayer Perceptron, Linear Regression, ...)\n\nAlso, DaPy has high efficiency to support you solving real-world situations. Following dialog shows a testing result which provides that DaPy has comparable efficiency than some exists C written libraries. The detail of test can be found from here.\n\n![Performance Test](https://github.com/JacksonWuxs/DaPy/blob/master/doc/material/Result.jpg)\n\n### Install\n\nThe latest version 1.11.1 had been updated to PyPi.\n\n```\npip install DaPy\n```\n\nSome of functions in DaPy depend on requirements.\n\n- **xlrd**: loading data from .xls file【Necessary】\n- **xlwt**: export data to a .xls file【Necessary】\n- **repoze.lru**: speed up loading data from .csv file【Necessary】\n- **savReaderWrite**: loading data from .sav file【Optional】\n- **bs4.BeautifulSoup**: auto downloading data from a website【Optional】\n- **numpy**: dramatically increase the efficiency of ML models【Recommand】 \n\n\n### Usages\n\n- Load & Explore Data\n - Load data from a local csv, sav, sqlite3, mysql server, mysql dump file or xls file: ```sheet = DaPy.read(file_addr)```\n - Display the first five and the last five records: `sheet.show(lines=5)`\n - Summary the statistical information of each columns: ```sheet.info```\n - Count distribution of categorical variable: ```sheet.count_values('gender')```\n - Find differences of the labels in categorical variables: ```sheet.groupby('city')```\n - Calculate the correlation between the continuous variables: ```sheet.corr(['age', 'income'])```\n- Preprocessing & Clean Up Data\n - Remove duplicate records: `sheet.drop_duplicates(col, keep='first')`\n - Use linear interpolation to fill in NaN : ```sheet.fillna(method='linear')``` \n - Remove the records which contains more than 50% variables are NaN: `sheet.dropna(axis=0, how=0.5)`\n - Remove some meaningless columns (e.g. *ID*): ```sheet.drop('ID', axis=1)```\n - Sort records by some columns: `sheet = sheet.sort('Age', 'DESC')`\n - Merge external features from another table: `sheet.merge(sheet2, left_key='ID', other_key='ID', keep_key='self', keep_same=False)`\n - Merge external records from another table: `sheet.join(sheet2)`\n - Append records one by one: `sheet.append_row(new_row)`\n - Append new variables one by one: `sheet.append_col(new_col)`\n - Get parts of records by index: `sheet[:10, 20: 30, 50: 100]`\n - Get parts of columns by column name: `sheet['age', 'income', 'name']`\n- Feature Engineering\n - Transfer a date time into categorical variables: `sheet.get_date_label('birth')`\n - Transfer numerical variables into categorical variables: `sheet.get_categories(cols='age', cutpoints=[18, 30, 50], group_name=['Juveniles', 'Adults', 'Wrinkly', 'Old'])`\n - Transfer categorical variables into dummy variables: `sheet.get_dummies(['city', 'education'])`\n - Create higher-order crossover terms between your selected variables: `sheet.get_interactions(n_power=3, col=['income', 'age', 'gender', 'education'])`\n - Introduce the ranks of each records: `sheet.get_ranks(cols='income', duplicate='mean')`\n - Standardize some normal continuous variables: ```sheet.normalized(col='age')```\n - Special processing for some special variables: ```sheet.normalized('log', col='salary')```\n - Create new variables by some business logical formulas: ```sheet.apply(func=tax_rate, col=['salary', 'income'])```\n - Difference process to make time-series stable: `DaPy.diff(sheet.income)`\n- Developing Models\n - Choose a model and initialize it: ```m = MLP()```, ```m = LinearRegression()```, ```m = DecisionTree()``` or ```m = DiscriminantAnalysis()``` \n - Train the model parameters: ```m.fit(X_train, Y_train)```\n- Model Evaluation\n - Evaluate model with parameter tests: ```m.report.show()```\n - Evaluate model with visualization: ```m.plot_error()``` or ```DecisionTree.export_graphviz()```\n - Evaluate model with test set: ```DaPy.methods.Performance(m, X_test, Y_test, mode)```.\n- Saving Result\n - Save the model: ```m.save(addr)```\n - Save the final dataset: ```sheet.save(addr)```\n\n### Contributors\n\n- ###### Contributors:\n\n - Xuansheng WU (@JacksonWoo: wuxsmail@163.com) \n\n - Feichi YANG (@Nick Yang: yangfeichi@163.com) \n\n\n### Related\n\nFollowing programs are also great data analyzing/ manipulating frameworks in Python:\n\n* [Agate](https://github.com/wireservice/agate): Data analysis library optimized for humans\n* [Numpy](https://github.com/numpy/numpy): fundamental package for scientific computing with Python\n* [Pandas](https://github.com/pandas-dev/pandas): Python Analysis Data \n* [Scikit-Learn](https://github.com/scikit-learn/scikit-learn): Machine Learn in Python \n\n### Further-Info\n\n- [Version change log](https://github.com/JacksonWuxs/DaPy/blob/master/doc/homepage/Version-Log.md)\n- [Todo List](https://github.com/JacksonWuxs/DaPy/blob/master/doc/homepage/TODO.md)\n- [License](https://github.com/JacksonWuxs/DaPy/blob/master/doc/homepage/License.md)\n\n\n\n" }, { "path": "README_Chinese.md", "content": "\n本开源项目流利地实现你在数据挖掘中的想法\n\n# DaPy - 享受你的数据挖掘之旅\n\n![](https://img.shields.io/badge/Version-1.10.1-green.svg) ![](https://img.shields.io/badge/Python2-pass-green.svg)![](https://img.shields.io/badge/Python3-pass-green.svg)![](https://img.shields.io/badge/Download-PyPi-green.svg) ![](https://img.shields.io/badge/License-GNU-blue.svg)\n\n[英文版](https://github.com/JacksonWuxs/DaPy/blob/master/README.md)\n\n### 简介\n\n​\tDaPy是一个在设计时就非常关注易用性的数据分析库。通过为您提供设计合理的**数据结构**和丰富的**机器学习模型**，它能帮您快速地实现数据分析思路。早已经有了很多例如Pandas之类的著名数据分析模块，但仍没有一个相关的模块能做到：\n\n* 以链式编程的方式编写代码；\n* 线程安全的数据容器；\n* 调用几个API就能完成简单的特征工程；\n* 能够轻松的按行处理数据；\n* 能够像MySQL那样在命令行中显示日志。\n\n​\t因此，DaPy会更适合于数据分析师、统计学家和需要处理大数据但仅有有限计算机知识的人群。DaPy的数据结构提供了超过70个高效易用的API接口帮助您进行数据挖掘，包括40+个数据操作函数，10+个特征工程函数和15+数据探索函数。\n\n### 示例\n\n​\t本示例简单展示了DaPy的**链式编程**，**工作日志**和**简单的特征工程函数**。我们的任务是为鸢尾花分类任务训练一个分类器。更详细的信息可以参阅[这里](https://github.com/JacksonWuxs/DaPy/blob/master/doc/Quick%20Start/English.md)。\n\n![](https://github.com/JacksonWuxs/DaPy/blob/master/doc/Quick%20Start/quick_start.gif)\n\n### DaPy的特性\n\n​\t我们已经有了例如Numpy和Pandas这样优秀的数据分析库，为什么我们还需要DaPy？ \n\n​\t上面那个问题的答案就是， *DaPy专为数据分析师设计，而不是程序员.* DaPy的用户只需要关注于他们解决问题的思路，而不必太在意数据结构这些编程陷阱。例如，与Pandas不同，DaPy支持向操作SQL或Excel那样的按行操作数据。除此以外，以下是一些DaPy比较擅长的事情：\n\n- 多种在CMD中呈现数据的方式\n- 符合Python语法习惯的二维数据表结构\n- 与SQL语法相似的函数封装方法\n- 封装了许多常用的数据预处理或者特征工程方法\n- 支持多种文件格式的I/O工具 (支持格式：Html网页, xls表格, SQLite3数据库, .csv文本文件, SPSS数据文件, MySQL导出文件, 直连MySQL服务器)\n- 内建基本机器学习模型(决策树、多层感知机、线性回归等)\n\n​\t另外, 为了让DaPy能应付真实世界中的任务, 我们还时刻关注DaPy的*性能表现*。虽然DaPy目前是由纯Python语言实现的，但它与现有的数据处理框架在性能上也具有可比性。下图展示了使用具有432万条记录及7个变量的数据集的性能测试结果。\n\n![](https://github.com/JacksonWuxs/DaPy/blob/master/doc/material/Result.jpg)\n\n### 安装\n\n​\t最新版的DaPy-1.10.1已经上传到了PyPi\n```\npip install DaPy\n```\n​\tDaPy中的部分功能依赖于下述这些第三方库：\n\n- **xlrd**: loading data from .xls file【必要】\n- **xlwt**: export data to a .xls file【必要】\n- **repoze.lru**: speed up loading data from .csv file【必要】\n- **savReaderWrite**: loading data from .sav file【可选】\n- **bs4.BeautifulSoup**: auto downloading data from a website【可选】\n- **numpy**: dramatically increase the efficiency of ML models【推荐】 \n\n### 用法说明\n\n- 加载数据 & 数据探索\n - 从csv, sav, sqlite3，xls，MySQL文件中加载数据: ```sheet = DaPy.read(file_addr)```\n - 显示数据的前后5条记录: ```sheet.show(lines=5)```\n - 汇总每一个变量的统计指标（均值、方差等）: ```sheet.info```\n - 统计某分类变量的取值分布情况: ```sheet.count_values('gender')```\n - 探索分类变量不同取值之间的差异: ```sheet.groupby('city')```\n - 计算连续变量间的相关性: ```sheet.corr(['age', 'income'])```\n- 预处理数据 & 数据清洗\n - 删除重复记录: `sheet.drop_duplicates(col, keep='first')`\n - 用线性插值法填充缺失值: ```sheet.fillna(method='linear')``` \n - 去除缺失值数量超过50%的记录```sheet.dropna(axis=0, how=0.5)```\n - 移除一些无用变量（如. 客户*ID*）: ```sheet.drop('ID', axis=1)```\n - 基于某一列数据进行排序: ```sheet = sheet.sort('Age', 'DESC')```\n - 合并另一张表中新的字段: ```sheet.merge(sheet2, keep_same=False)```\n - 合并另一张表中新的记录: `sheet.join(sheet2)`\n - 逐条添加记录: `sheet.append_row(new_row)`\n - 逐个添加变量: `sheet.append_col(new_col)`\n - 按索引选取部分数据: `sheet[:10, 20: 30, 50: 100]`\n - 按列名选取部分数据: `sheet['age', 'income', 'name']`\n- 特征工程\n\n - 使用日期变量构造一些分类变量（季节、周末等）: `sheet.get_date_label('birth')`\n - 将连续变量通过“封箱”转换为分类变量: `sheet.get_categories(cols='age', cutpoints=[18, 30, 50], group_name=['Juveniles', 'Adults', 'Wrinkly', 'Old'])`\n - 将单个分类变量转换为多个虚拟变量: `sheet.get_dummies(['city', 'education'])`\n - 为你选定的变量之间构建高阶交叉项: `sheet.get_interactions(n_power=3, col=['income', 'age', 'gender', 'education'])`\n - 为每个变量中的记录添加排名: `sheet.get_ranks(cols='income', duplicate='mean')`\n - 归一化一些连续变量: ```sheet.normalized(col='age')```\n - 对数归一化一些连续变量: ```sheet.normalized('log', col='salary')```\n - 使用符合您业务需求的函数构造新变量: ```sheet.apply(func=calculate_tax, col=['salary', 'income'])```\n - 使用差分让时间序列平稳: `DaPy.diff(sheet.income)`\n- 模型训练\n - 选择并初始化一个模型: ```m = MLP()```, ```m = LinearRegression()```, ```m = DecisionTree()``` or ```m = DiscriminantAnalysis()``` \n - 训练模型参数: ```m.fit(X_train, Y_train)```\n- 模型评估\n - 使用参数检验对模型进行评估（仅限线性回归和判别分析）: ```m.report.show()```\n - 通过可视化评估模型: ```m.plot_error()``` or ```DecisionTree.export_graphviz()```\n - 使用测试集评估模型: ```DaPy.methods.Performance(m, X_test, Y_test, mode)```.\n- 保存结果\n - 保存模型: ```m.save(addr)```\n - 保存数据: ```sheet.save(addr)```\n\n\n### TODO \n\n:heavy_check_mark: = 已完成 :running: = 正在开发 ​ :calendar: = 规划中 :thinking: = 未排期\n\n* 数据结构\n\n * DataSet (3-D data structure) :heavy_check_mark:\n * Frame (2-D general data structure)​ :heavy_check_mark:\n * SeriesSet (2-D general data structure) :heavy_check_mark:\n * Matrix (2-D mathematical data structure) :heavy_check_mark:\n * Row (1-D general data structure) :heavy_check_mark:\n * Series (1-D general data structure) :heavy_check_mark:\n * TimeSeries (1-D time sequence data structure)​ :running:\n\n* 统计\n\n * 基本统计功能 (mean, std, skewness, kurtosis, frequency, fuantils)​ :heavy_check_mark:\n * 相关性分析 (spearman & pearson) :heavy_check_mark:\n\n * 方差分析 :heavy_check_mark:\n * 均值比较 (simple T-test, independent T-test) :thinking:\n\n* 操作\n\n * 易用的API设计 (create, Retrieve, Update, Delete) :heavy_check_mark:\n * 灵活的I/O工具 (supporting multiple source data for input and output) :heavy_check_mark:\n * 虚拟变量 :heavy_check_mark:\n * 差分序列模型:heavy_check_mark:\n * 数据标准化 (log, normal, standard, box-cox):heavy_check_mark:\n * 数据去重 :heavy_check_mark:\n * 聚合函数 :heavy_check_mark:\n\n* 模型\n\n - 判别分析 :heavy_check_mark:\n - 线性回归 :heavy_check_mark:\n - 多层感知机 :heavy_check_mark:\n - 决策树 :heavy_check_mark:\n - K-Means :running:\n - PCA (Principal Component Analysis) :running:\n - ARIMA (Autoregressive Integrated Moving Average) :calendar:\n - SVM ( Support Vector Machine) :thinking:\n - Bayes Classifier :thinking:\n\n* 其他\n\n * 手册 :running:\n * 示例 :running:\n * 单元测试 :running:\n\n### 项目成员\n\n- ###### 负责人:\n\n Xuansheng WU (@JacksonWoo: wuxsmail@163.com )\n\n- ###### 开发者：\n\n 1. Xuansheng WU\n 2. Feichi YANG (@Nick Yang: yangfeichi@163.com) \n\n### 版本日志\n\n* V1.10.1 (2019-06-13)\n * 添加 ```SeriesSet.update()```, 更新某些数据中的一些记录信息;\n * 添加 ```BaseSheet.tolist()``` and ```BaseSheet.toarray()```, 将表转换为list嵌套list的结构或者numpy结构;\n * 添加 ```BaseSheet.query()```, 通过一个Python句法书写的字符串筛选符合条件的记录;\n * 添加 ```SeriesSet.dropna()```, 提出包含缺失值的记录或变量;\n * 添加 ```SeriesSet.fillna()```, 为缺失值填补固定值或者线性插值法填补;\n * 添加 ```SeriesSet.label_date()```, 为时间变量构造新的解释变量;\n * 添加 ```DaPy.Row```, 原始数据表一条记录的视图;\n * 添加 ```DaPy.methods.DecitionTree```, C4.5决策树分类器算法的实现;\n * 添加 ```DaPy.methods.SignTest```, 符号检验;\n * 重构 ```DaPy.core.base```;\n * 优化 ```BaseSheet.groupby()```, 以前性能的18倍;\n * 优化 ```BaseSheet.select()```, 以前性能的14倍;\n * 优化 ```BaseSheet.sort()```, 以前性能的2倍;\n * 优化 ```dp.save()```, 保存.csv的性能是以前1.6倍;\n * 优化 ```dp.read()```, 加载数据的性能是以前1.1倍;\n* V1.9.2 (2019-04-23)\n * 添加 `BaseSheet.groupby()`, 基于特定列为记录进行分类分析;\n * 添加 `DataSet.apply()`, 对数据集映射一个函数;\n * 添加 `DataSet.drop_duplicates()`, 自动去除数据集中的重复值;\n * 添加 `DaPy.Series`, 用于保存序列数据的新数据结构;\n * 添加 `DaPy.methods.Performance()`, 自动评价一个机器学习模型的性能;\n * 添加 `DaPy.methods.Kappa()`, 计算给定混淆矩阵的Kappa系数;\n * 添加 `DaPy.methods.ConfuMat()`, 基于给定真实值和预测值生成混淆矩阵;\n * 更新 `BaseSheet.select()`, 支持新的字段 limit 和 columns;\n* V1.7.2 Beta (2019-01-01)\n * 添加 `get_dummies()` , 引入虚拟变量方式处理名义变量;\n * 添加 `DaPy.show_time`, DaPy开始具备日志功能;\n * 添加 `boxcox()` , Box-Cox转换;\n * 添加 `diff()`, 对时间序列进行差分;\n * 添加 `DaPy.methods.LDA`, 判别分析模型（支持线性判别法和Fisher判别法）;\n * 添加 `row_stack()`, 纵向合并多个数据表;\n * 添加 `Row`，新数据结构更好地以*视图*方式访问一行数据;\n * 添加 `LinearRegression.report`, 访问该模型训练集上的参数检验统计报告;\n * 更新 `read()`, 支持自动从网页中爬取数据;\n * 更新 `SeriesSet.merge()`, 更多可用的参数;\n * 重命名 `DataSet.pop_miss_value()` 为 `DataSet.dropna()`;\n * 重构 `methods`, more stable and more scalable in the future;\n * 重构 `methods.LinearRegression`, it can prepare a statistic report for you after training;\n * 重构 `BaseSheet.select()`, 5 times faster and more pythonic API design;\n * 重构 `BaseSheet.replace()`, 20 times faster and more pythonic API design;\n * 开始支持Python 3！\n * 修复了一些小Bug;\n* V1.5.1 (2018-11-17)\n * 添加 `select()`, 快速基于某些条件筛选数据;\n * 添加 `delete()`, 按照某个坐标轴删除一个非DaPy数据结构的数据;\n * 添加 `column_stack()`, 横向合并多个数据表;\n * 添加 DaPy.P() 和 DaPy.C()函数，用于计算排列数和组合数；\n * 添加 语法特性，使得用户可以通过data.title来访问表结构中的列;\n * 重构 DaPy.BaseSheet类，精简代码体积并提高了拓展性;\n * 重构 DaPy.DataSet.save()函数，提高了代码稳定性及拓展能力；\n * 重写 部分基本数学函数的算法；\n * 修复 一些细小的bug;\n* V1.3.3 (2018-06-20)\n - 添加 外部数据文件读取能力: Excel, SPSS, SQLite3, CSV;\n - 重构 DaPy架构, 提高了远期拓展能力;\n - 重构 DaPy.DataSet类, 一个DataSet实例可以批量管理多个数据表;\n - 重构 DaPy.Frame类, 删除了格式验证, 适配更多类型的数据集;\n - 重构 DaPy.SeriesSet类, 删除了格式验证, 适配更多类型的数据集;\n - 移除 DaPy.Table类;\n - 优化 DaPy.Matrix类, 效率提升接近2倍;\n - 优化 DaPy.Frame 及 Data.SeriesSet类的展示, 数据呈现更为清晰美观;\n - 添加 `线性回归`及`方差分析`至DaPy.stats;\n - 添加 DaPy.io.encode()函数, 更好地适配中文数据;\n - 替换 read_col(), read_frame(), read_matrix() 为 read()函数;\n* V1.3.2 (2018-04-26)\n - 优化 数据加载的效率;\n - 添加 更多实用的功能到DaPy.DataSet中;\n - 添加 新的数据结构DaPy.Matrix,支持常规的矩阵运算;\n - 添加 常用描述数据的函数 (例如： corr, dot, exp);\n - 添加 `多层感知机`至DaPy.machine_learn;\n - 添加 一些标准数据集.\n* V1.3.1 (2018-03-19)\n - 修复 在加载数据时的bug;\n - 添加 支持保存数据集的功能.\n* V1.2.5 (2018-03-15)\n - DaPy的第一个版本！\n\n### 开源协议\n\nCopyright (C) 2018 - 2019 Xuansheng Wu\n\nThis program is free software: you can redistribute it and/or modify\nit under the terms of the GNU General Public License as published by\nthe Free Software Foundation, either version 3 of the License, or\n(at your option) any later version.\n\nThis program is distributed in the hope that it will be useful,\nbut WITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\nGNU General Public License for more details.\n\nYou should have received a copy of the GNU General Public License\nalong with this program. If not, see https:\\\\www.gnu.org\\licenses." }, { "path": "_config.yml", "content": "theme: jekyll-theme-minimal" }, { "path": "clib/io.c", "content": "/* Generated by Cython 0.29.6 */\n\n#define PY_SSIZE_T_CLEAN\n#include \"Python.h\"\n#ifndef Py_PYTHON_H\n #error Python headers needed to compile C extensions, please install development version of Python.\n#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000)\n #error Cython requires Python 2.6+ or Python 3.3+.\n#else\n#define CYTHON_ABI \"0_29_6\"\n#define CYTHON_HEX_VERSION 0x001D06F0\n#define CYTHON_FUTURE_DIVISION 0\n#include \n#ifndef offsetof\n #define offsetof(type, member) ( (size_t) & ((type*)0) -> member )\n#endif\n#if !defined(WIN32) && !defined(MS_WINDOWS)\n #ifndef __stdcall\n #define __stdcall\n #endif\n #ifndef __cdecl\n #define __cdecl\n #endif\n #ifndef __fastcall\n #define __fastcall\n #endif\n#endif\n#ifndef DL_IMPORT\n #define DL_IMPORT(t) t\n#endif\n#ifndef DL_EXPORT\n 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METH_KEYWORDS | METH_STACKLESS)))))\n#else\n#define __Pyx_PyFastCFunction_Check(func) 0\n#endif\n#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc)\n #define PyObject_Malloc(s) PyMem_Malloc(s)\n #define PyObject_Free(p) PyMem_Free(p)\n #define PyObject_Realloc(p) PyMem_Realloc(p)\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030400A1\n #define PyMem_RawMalloc(n) PyMem_Malloc(n)\n #define PyMem_RawRealloc(p, n) PyMem_Realloc(p, n)\n #define PyMem_RawFree(p) PyMem_Free(p)\n#endif\n#if CYTHON_COMPILING_IN_PYSTON\n #define __Pyx_PyCode_HasFreeVars(co) PyCode_HasFreeVars(co)\n #define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno)\n#else\n #define __Pyx_PyCode_HasFreeVars(co) (PyCode_GetNumFree(co) > 0)\n #define __Pyx_PyFrame_SetLineNumber(frame, lineno) (frame)->f_lineno = (lineno)\n#endif\n#if !CYTHON_FAST_THREAD_STATE || PY_VERSION_HEX < 0x02070000\n #define __Pyx_PyThreadState_Current PyThreadState_GET()\n#elif PY_VERSION_HEX >= 0x03060000\n #define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet()\n#elif PY_VERSION_HEX >= 0x03000000\n #define __Pyx_PyThreadState_Current PyThreadState_GET()\n#else\n #define __Pyx_PyThreadState_Current _PyThreadState_Current\n#endif\n#if PY_VERSION_HEX < 0x030700A2 && !defined(PyThread_tss_create) && !defined(Py_tss_NEEDS_INIT)\n#include \"pythread.h\"\n#define Py_tss_NEEDS_INIT 0\ntypedef int Py_tss_t;\nstatic CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) {\n *key = PyThread_create_key();\n return 0;\n}\nstatic CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) {\n Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t));\n *key = Py_tss_NEEDS_INIT;\n return key;\n}\nstatic CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) {\n PyObject_Free(key);\n}\nstatic CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) {\n return *key != Py_tss_NEEDS_INIT;\n}\nstatic CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) {\n PyThread_delete_key(*key);\n *key = Py_tss_NEEDS_INIT;\n}\nstatic CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) {\n return PyThread_set_key_value(*key, value);\n}\nstatic CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) {\n return PyThread_get_key_value(*key);\n}\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized)\n#define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n))\n#else\n#define __Pyx_PyDict_NewPresized(n) PyDict_New()\n#endif\n#if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION\n #define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y)\n #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y)\n#else\n #define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y)\n #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y)\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && CYTHON_USE_UNICODE_INTERNALS\n#define __Pyx_PyDict_GetItemStr(dict, name) _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash)\n#else\n#define __Pyx_PyDict_GetItemStr(dict, name) PyDict_GetItem(dict, name)\n#endif\n#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND)\n #define CYTHON_PEP393_ENABLED 1\n #define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ?\\\n 0 : _PyUnicode_Ready((PyObject *)(op)))\n #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u)\n #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i)\n #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) PyUnicode_MAX_CHAR_VALUE(u)\n #define __Pyx_PyUnicode_KIND(u) PyUnicode_KIND(u)\n #define __Pyx_PyUnicode_DATA(u) PyUnicode_DATA(u)\n #define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i)\n #define __Pyx_PyUnicode_WRITE(k, d, i, ch) PyUnicode_WRITE(k, d, i, ch)\n #define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u)))\n#else\n #define CYTHON_PEP393_ENABLED 0\n #define PyUnicode_1BYTE_KIND 1\n #define PyUnicode_2BYTE_KIND 2\n #define PyUnicode_4BYTE_KIND 4\n #define __Pyx_PyUnicode_READY(op) (0)\n #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u)\n #define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i]))\n #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) ((sizeof(Py_UNICODE) == 2) ? 65535 : 1114111)\n #define __Pyx_PyUnicode_KIND(u) (sizeof(Py_UNICODE))\n #define __Pyx_PyUnicode_DATA(u) ((void*)PyUnicode_AS_UNICODE(u))\n #define __Pyx_PyUnicode_READ(k, d, i) ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i]))\n #define __Pyx_PyUnicode_WRITE(k, d, i, ch) (((void)(k)), ((Py_UNICODE*)d)[i] = ch)\n #define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_SIZE(u))\n#endif\n#if CYTHON_COMPILING_IN_PYPY\n #define __Pyx_PyUnicode_Concat(a, b) PyNumber_Add(a, b)\n #define __Pyx_PyUnicode_ConcatSafe(a, b) PyNumber_Add(a, b)\n#else\n #define __Pyx_PyUnicode_Concat(a, b) PyUnicode_Concat(a, b)\n #define __Pyx_PyUnicode_ConcatSafe(a, b) ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\\\n PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b))\n#endif\n#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains)\n #define PyUnicode_Contains(u, s) PySequence_Contains(u, s)\n#endif\n#if CYTHON_COMPILING_IN_PYPY && !defined(PyByteArray_Check)\n #define PyByteArray_Check(obj) PyObject_TypeCheck(obj, &PyByteArray_Type)\n#endif\n#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format)\n #define PyObject_Format(obj, fmt) PyObject_CallMethod(obj, \"__format__\", \"O\", fmt)\n#endif\n#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyString_Check(b) && !PyString_CheckExact(b)))) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b))\n#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b))\n#if PY_MAJOR_VERSION >= 3\n #define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b)\n#else\n #define __Pyx_PyString_Format(a, b) PyString_Format(a, b)\n#endif\n#if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII)\n #define PyObject_ASCII(o) PyObject_Repr(o)\n#endif\n#if PY_MAJOR_VERSION >= 3\n #define PyBaseString_Type PyUnicode_Type\n #define PyStringObject PyUnicodeObject\n #define PyString_Type PyUnicode_Type\n #define PyString_Check PyUnicode_Check\n #define PyString_CheckExact PyUnicode_CheckExact\n #define PyObject_Unicode PyObject_Str\n#endif\n#if PY_MAJOR_VERSION >= 3\n #define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)\n #define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)\n#else\n #define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj))\n #define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj))\n#endif\n#ifndef PySet_CheckExact\n #define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type)\n#endif\n#if CYTHON_ASSUME_SAFE_MACROS\n #define __Pyx_PySequence_SIZE(seq) Py_SIZE(seq)\n#else\n #define __Pyx_PySequence_SIZE(seq) PySequence_Size(seq)\n#endif\n#if PY_MAJOR_VERSION >= 3\n #define PyIntObject PyLongObject\n #define PyInt_Type PyLong_Type\n #define PyInt_Check(op) PyLong_Check(op)\n #define PyInt_CheckExact(op) PyLong_CheckExact(op)\n #define PyInt_FromString PyLong_FromString\n #define PyInt_FromUnicode PyLong_FromUnicode\n #define PyInt_FromLong PyLong_FromLong\n #define PyInt_FromSize_t PyLong_FromSize_t\n #define PyInt_FromSsize_t PyLong_FromSsize_t\n #define PyInt_AsLong PyLong_AsLong\n #define PyInt_AS_LONG PyLong_AS_LONG\n #define PyInt_AsSsize_t PyLong_AsSsize_t\n #define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask\n #define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask\n #define PyNumber_Int PyNumber_Long\n#endif\n#if PY_MAJOR_VERSION >= 3\n #define PyBoolObject PyLongObject\n#endif\n#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY\n #ifndef PyUnicode_InternFromString\n #define PyUnicode_InternFromString(s) PyUnicode_FromString(s)\n #endif\n#endif\n#if PY_VERSION_HEX < 0x030200A4\n typedef long Py_hash_t;\n #define __Pyx_PyInt_FromHash_t PyInt_FromLong\n #define __Pyx_PyInt_AsHash_t PyInt_AsLong\n#else\n #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t\n #define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t\n#endif\n#if PY_MAJOR_VERSION >= 3\n #define __Pyx_PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : (Py_INCREF(func), func))\n#else\n #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)\n#endif\n#if CYTHON_USE_ASYNC_SLOTS\n #if PY_VERSION_HEX >= 0x030500B1\n #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods\n #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)\n #else\n #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))\n #endif\n#else\n #define __Pyx_PyType_AsAsync(obj) NULL\n#endif\n#ifndef __Pyx_PyAsyncMethodsStruct\n typedef struct {\n unaryfunc am_await;\n unaryfunc am_aiter;\n unaryfunc am_anext;\n } __Pyx_PyAsyncMethodsStruct;\n#endif\n\n#if defined(WIN32) || defined(MS_WINDOWS)\n #define _USE_MATH_DEFINES\n#endif\n#include \n#ifdef NAN\n#define __PYX_NAN() ((float) NAN)\n#else\nstatic CYTHON_INLINE float __PYX_NAN() {\n float value;\n memset(&value, 0xFF, sizeof(value));\n return value;\n}\n#endif\n#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL)\n#define __Pyx_truncl trunc\n#else\n#define __Pyx_truncl truncl\n#endif\n\n\n#define __PYX_ERR(f_index, lineno, Ln_error) \\\n{ \\\n __pyx_filename = __pyx_f[f_index]; __pyx_lineno = lineno; __pyx_clineno = __LINE__; goto Ln_error; \\\n}\n\n#ifndef __PYX_EXTERN_C\n #ifdef __cplusplus\n #define __PYX_EXTERN_C extern \"C\"\n #else\n #define __PYX_EXTERN_C extern\n #endif\n#endif\n\n#define __PYX_HAVE__io\n#define __PYX_HAVE_API__io\n/* Early includes */\n#include \n#include \n#include \n#ifdef _OPENMP\n#include \n#endif /* _OPENMP */\n\n#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)\n#define CYTHON_WITHOUT_ASSERTIONS\n#endif\n\ntypedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding;\n const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry;\n\n#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0\n#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0\n#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8)\n#define __PYX_DEFAULT_STRING_ENCODING \"\"\n#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString\n#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize\n#define __Pyx_uchar_cast(c) ((unsigned char)c)\n#define __Pyx_long_cast(x) ((long)x)\n#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\\\n (sizeof(type) < sizeof(Py_ssize_t)) ||\\\n (sizeof(type) > sizeof(Py_ssize_t) &&\\\n likely(v < (type)PY_SSIZE_T_MAX ||\\\n v == (type)PY_SSIZE_T_MAX) &&\\\n (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\\\n v == (type)PY_SSIZE_T_MIN))) ||\\\n (sizeof(type) == sizeof(Py_ssize_t) &&\\\n (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\\\n v == (type)PY_SSIZE_T_MAX))) )\nstatic CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) {\n return (size_t) i < (size_t) limit;\n}\n#if defined (__cplusplus) && __cplusplus >= 201103L\n #include \n #define __Pyx_sst_abs(value) std::abs(value)\n#elif SIZEOF_INT >= SIZEOF_SIZE_T\n #define __Pyx_sst_abs(value) abs(value)\n#elif SIZEOF_LONG >= SIZEOF_SIZE_T\n #define __Pyx_sst_abs(value) labs(value)\n#elif defined (_MSC_VER)\n #define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value))\n#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L\n #define __Pyx_sst_abs(value) llabs(value)\n#elif defined (__GNUC__)\n #define __Pyx_sst_abs(value) __builtin_llabs(value)\n#else\n #define __Pyx_sst_abs(value) ((value<0) ? -value : value)\n#endif\nstatic CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*);\nstatic CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);\n#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s))\n#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l)\n#define __Pyx_PyBytes_FromString PyBytes_FromString\n#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize\nstatic CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);\n#if PY_MAJOR_VERSION < 3\n #define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString\n #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize\n#else\n #define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString\n #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize\n#endif\n#define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyObject_AsWritableString(s) ((char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_AsWritableSString(s) ((signed char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s)\n#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s)\n#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s)\n#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s)\n#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)\nstatic CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) {\n const Py_UNICODE *u_end = u;\n while (*u_end++) ;\n return (size_t)(u_end - u - 1);\n}\n#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u))\n#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode\n#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode\n#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj)\n#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None)\nstatic CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b);\nstatic CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);\nstatic CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*);\nstatic CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);\n#define __Pyx_PySequence_Tuple(obj)\\\n (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj))\nstatic CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);\nstatic CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);\n#if CYTHON_ASSUME_SAFE_MACROS\n#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))\n#else\n#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)\n#endif\n#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))\n#if PY_MAJOR_VERSION >= 3\n#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))\n#else\n#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))\n#endif\n#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))\n#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII\nstatic int __Pyx_sys_getdefaultencoding_not_ascii;\nstatic int __Pyx_init_sys_getdefaultencoding_params(void) {\n PyObject* sys;\n PyObject* default_encoding = NULL;\n PyObject* ascii_chars_u = NULL;\n PyObject* ascii_chars_b = NULL;\n const char* default_encoding_c;\n sys = PyImport_ImportModule(\"sys\");\n if (!sys) goto bad;\n default_encoding = PyObject_CallMethod(sys, (char*) \"getdefaultencoding\", NULL);\n Py_DECREF(sys);\n if (!default_encoding) goto bad;\n default_encoding_c = PyBytes_AsString(default_encoding);\n if (!default_encoding_c) goto bad;\n if (strcmp(default_encoding_c, \"ascii\") == 0) {\n __Pyx_sys_getdefaultencoding_not_ascii = 0;\n } else {\n char ascii_chars[128];\n int c;\n for (c = 0; c < 128; c++) {\n ascii_chars[c] = c;\n }\n __Pyx_sys_getdefaultencoding_not_ascii = 1;\n ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL);\n if (!ascii_chars_u) goto bad;\n ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL);\n if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) {\n PyErr_Format(\n PyExc_ValueError,\n \"This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.\",\n default_encoding_c);\n goto bad;\n }\n Py_DECREF(ascii_chars_u);\n Py_DECREF(ascii_chars_b);\n }\n Py_DECREF(default_encoding);\n return 0;\nbad:\n Py_XDECREF(default_encoding);\n Py_XDECREF(ascii_chars_u);\n Py_XDECREF(ascii_chars_b);\n return -1;\n}\n#endif\n#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3\n#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL)\n#else\n#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL)\n#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT\nstatic char* __PYX_DEFAULT_STRING_ENCODING;\nstatic int __Pyx_init_sys_getdefaultencoding_params(void) {\n PyObject* sys;\n PyObject* default_encoding = NULL;\n char* default_encoding_c;\n sys = PyImport_ImportModule(\"sys\");\n if (!sys) goto bad;\n default_encoding = PyObject_CallMethod(sys, (char*) (const char*) \"getdefaultencoding\", NULL);\n Py_DECREF(sys);\n if (!default_encoding) goto bad;\n default_encoding_c = PyBytes_AsString(default_encoding);\n if (!default_encoding_c) goto bad;\n __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1);\n if (!__PYX_DEFAULT_STRING_ENCODING) goto bad;\n strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);\n Py_DECREF(default_encoding);\n return 0;\nbad:\n Py_XDECREF(default_encoding);\n return -1;\n}\n#endif\n#endif\n\n\n/* Test for GCC > 2.95 */\n#if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))\n #define likely(x) __builtin_expect(!!(x), 1)\n #define unlikely(x) __builtin_expect(!!(x), 0)\n#else /* !__GNUC__ or GCC < 2.95 */\n #define likely(x) (x)\n #define unlikely(x) (x)\n#endif /* __GNUC__ */\nstatic CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; }\n\nstatic PyObject *__pyx_m = NULL;\nstatic PyObject *__pyx_d;\nstatic PyObject *__pyx_b;\nstatic PyObject *__pyx_cython_runtime = NULL;\nstatic PyObject *__pyx_empty_tuple;\nstatic PyObject *__pyx_empty_bytes;\nstatic PyObject *__pyx_empty_unicode;\nstatic int __pyx_lineno;\nstatic int __pyx_clineno = 0;\nstatic const char * __pyx_cfilenm= __FILE__;\nstatic const char *__pyx_filename;\n\n\nstatic const char *__pyx_f[] = {\n \"io.pyx\",\n \"stringsource\",\n};\n\n/*--- Type declarations ---*/\nstruct __pyx_obj___pyx_scope_struct____Pyx_CFunc_long__long____const__char________nogil_to_py;\nstruct __pyx_obj___pyx_scope_struct____Pyx_CFunc_double____const__char________nogil_to_py;\nstruct __pyx_obj___pyx_scope_struct____Pyx_CFunc_object____char_______to_py;\nstruct __pyx_opt_args_2io_read_csv;\n\n/* \"io.pyx\":115\n * @boundscheck(False)\n * @wraparound(False)\n * cpdef list read_csv(addr, const char *sep=',', int skip_rows=1, char *nan=''): # <<<<<<<<<<<<<<\n * \"\"\"Read the file contents.\"\"\"\n * fp = fopen(addr, \"r\")\n */\nstruct __pyx_opt_args_2io_read_csv {\n int __pyx_n;\n char const *sep;\n int skip_rows;\n char *nan;\n};\n\n/* \"cfunc.to_py\":64\n * \n * @cname(\"__Pyx_CFunc_long__long____const__char________nogil_to_py\")\n * cdef object __Pyx_CFunc_long__long____const__char________nogil_to_py(long 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(VAR) = __pyx_dict_cached_value;\\\n } else {\\\n (VAR) = __pyx_dict_cached_value = (LOOKUP);\\\n __pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\\\n }\\\n}\nstatic CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj);\nstatic CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj);\nstatic CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version);\n#else\n#define __PYX_GET_DICT_VERSION(dict) (0)\n#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\n#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) (VAR) = (LOOKUP);\n#endif\n\n/* GetModuleGlobalName.proto */\n#if CYTHON_USE_DICT_VERSIONS\n#define __Pyx_GetModuleGlobalName(var, name) {\\\n static PY_UINT64_T __pyx_dict_version = 0;\\\n static PyObject *__pyx_dict_cached_value = NULL;\\\n (var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_d))) ?\\\n (likely(__pyx_dict_cached_value) ? 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0x030600B1\nstatic PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, PyObject *kwargs);\n#else\n#define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs)\n#endif\n#define __Pyx_BUILD_ASSERT_EXPR(cond)\\\n (sizeof(char [1 - 2*!(cond)]) - 1)\n#ifndef Py_MEMBER_SIZE\n#define Py_MEMBER_SIZE(type, member) sizeof(((type *)0)->member)\n#endif\n static size_t __pyx_pyframe_localsplus_offset = 0;\n #include \"frameobject.h\"\n #define __Pxy_PyFrame_Initialize_Offsets()\\\n ((void)__Pyx_BUILD_ASSERT_EXPR(sizeof(PyFrameObject) == offsetof(PyFrameObject, f_localsplus) + Py_MEMBER_SIZE(PyFrameObject, f_localsplus)),\\\n (void)(__pyx_pyframe_localsplus_offset = ((size_t)PyFrame_Type.tp_basicsize) - Py_MEMBER_SIZE(PyFrameObject, f_localsplus)))\n #define __Pyx_PyFrame_GetLocalsplus(frame)\\\n (assert(__pyx_pyframe_localsplus_offset), (PyObject **)(((char *)(frame)) + 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PyObjectCallNoArg.proto */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func);\n#else\n#define __Pyx_PyObject_CallNoArg(func) __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL)\n#endif\n\n/* RaiseException.proto */\nstatic void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);\n\n/* pyobject_as_double.proto */\nstatic double __Pyx__PyObject_AsDouble(PyObject* obj);\n#if CYTHON_COMPILING_IN_PYPY\n#define __Pyx_PyObject_AsDouble(obj)\\\n(likely(PyFloat_CheckExact(obj)) ? 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(PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj);\n#else\n dictptr = _PyObject_GetDictPtr(obj);\n#endif\n }\n return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0;\n}\nstatic CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) {\n PyObject *dict = Py_TYPE(obj)->tp_dict;\n if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict)))\n return 0;\n return obj_dict_version == __Pyx_get_object_dict_version(obj);\n}\n#endif\n\n/* GetModuleGlobalName */\n#if CYTHON_USE_DICT_VERSIONS\nstatic PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value)\n#else\nstatic CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name)\n#endif\n{\n PyObject *result;\n#if !CYTHON_AVOID_BORROWED_REFS\n#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1\n result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash);\n __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)\n if (likely(result)) {\n return __Pyx_NewRef(result);\n } else if (unlikely(PyErr_Occurred())) {\n return NULL;\n }\n#else\n result = PyDict_GetItem(__pyx_d, name);\n __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)\n if (likely(result)) {\n return __Pyx_NewRef(result);\n }\n#endif\n#else\n result = PyObject_GetItem(__pyx_d, name);\n __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)\n if (likely(result)) {\n return __Pyx_NewRef(result);\n }\n PyErr_Clear();\n#endif\n return __Pyx_GetBuiltinName(name);\n}\n\n/* PyFunctionFastCall */\n#if CYTHON_FAST_PYCALL\nstatic PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na,\n PyObject *globals) {\n PyFrameObject *f;\n PyThreadState *tstate = __Pyx_PyThreadState_Current;\n PyObject **fastlocals;\n Py_ssize_t i;\n PyObject *result;\n assert(globals != NULL);\n /* XXX Perhaps we should create a specialized\n PyFrame_New() that doesn't take locals, but does\n take builtins without sanity checking them.\n */\n assert(tstate != NULL);\n f = PyFrame_New(tstate, co, globals, NULL);\n if (f == NULL) {\n return NULL;\n }\n fastlocals = __Pyx_PyFrame_GetLocalsplus(f);\n for (i = 0; i < na; i++) {\n Py_INCREF(*args);\n fastlocals[i] = *args++;\n }\n result = PyEval_EvalFrameEx(f,0);\n ++tstate->recursion_depth;\n Py_DECREF(f);\n --tstate->recursion_depth;\n return result;\n}\n#if 1 || PY_VERSION_HEX < 0x030600B1\nstatic PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, PyObject *kwargs) {\n PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func);\n PyObject *globals = PyFunction_GET_GLOBALS(func);\n PyObject *argdefs = PyFunction_GET_DEFAULTS(func);\n PyObject *closure;\n#if PY_MAJOR_VERSION >= 3\n PyObject *kwdefs;\n#endif\n PyObject *kwtuple, **k;\n PyObject **d;\n Py_ssize_t nd;\n Py_ssize_t nk;\n PyObject *result;\n assert(kwargs == NULL || PyDict_Check(kwargs));\n nk = kwargs ? PyDict_Size(kwargs) : 0;\n if (Py_EnterRecursiveCall((char*)\" while calling a Python object\")) {\n return NULL;\n }\n if (\n#if PY_MAJOR_VERSION >= 3\n co->co_kwonlyargcount == 0 &&\n#endif\n likely(kwargs == NULL || nk == 0) &&\n co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) {\n if (argdefs == NULL && co->co_argcount == nargs) {\n result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals);\n goto done;\n }\n else if (nargs == 0 && argdefs != NULL\n && co->co_argcount == Py_SIZE(argdefs)) {\n /* function called with no arguments, but all parameters have\n a default value: use default values as arguments .*/\n args = &PyTuple_GET_ITEM(argdefs, 0);\n result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals);\n goto done;\n }\n }\n if (kwargs != NULL) {\n Py_ssize_t pos, i;\n kwtuple = PyTuple_New(2 * nk);\n if (kwtuple == NULL) {\n result = NULL;\n goto done;\n }\n k = &PyTuple_GET_ITEM(kwtuple, 0);\n pos = i = 0;\n while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) {\n Py_INCREF(k[i]);\n Py_INCREF(k[i+1]);\n i += 2;\n }\n nk = i / 2;\n }\n else {\n kwtuple = NULL;\n k = NULL;\n }\n closure = PyFunction_GET_CLOSURE(func);\n#if PY_MAJOR_VERSION >= 3\n kwdefs = PyFunction_GET_KW_DEFAULTS(func);\n#endif\n if (argdefs != NULL) {\n d = &PyTuple_GET_ITEM(argdefs, 0);\n nd = Py_SIZE(argdefs);\n }\n else {\n d = NULL;\n nd = 0;\n }\n#if PY_MAJOR_VERSION >= 3\n result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL,\n args, nargs,\n k, (int)nk,\n d, (int)nd, kwdefs, closure);\n#else\n result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,\n args, nargs,\n k, (int)nk,\n d, (int)nd, closure);\n#endif\n Py_XDECREF(kwtuple);\ndone:\n Py_LeaveRecursiveCall();\n return result;\n}\n#endif\n#endif\n\n/* PyCFunctionFastCall */\n#if CYTHON_FAST_PYCCALL\nstatic CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) {\n PyCFunctionObject *func = (PyCFunctionObject*)func_obj;\n PyCFunction meth = PyCFunction_GET_FUNCTION(func);\n PyObject *self = PyCFunction_GET_SELF(func);\n int flags = PyCFunction_GET_FLAGS(func);\n assert(PyCFunction_Check(func));\n assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)));\n assert(nargs >= 0);\n assert(nargs == 0 || args != NULL);\n /* _PyCFunction_FastCallDict() must not be called with an exception set,\n because it may clear it (directly or indirectly) and so the\n caller loses its exception */\n assert(!PyErr_Occurred());\n if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) {\n return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL);\n } else {\n return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs);\n }\n}\n#endif\n\n/* PyObjectCall */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {\n PyObject *result;\n ternaryfunc call = func->ob_type->tp_call;\n if (unlikely(!call))\n return PyObject_Call(func, arg, kw);\n if (unlikely(Py_EnterRecursiveCall((char*)\" while calling a Python object\")))\n return NULL;\n result = (*call)(func, arg, kw);\n Py_LeaveRecursiveCall();\n if (unlikely(!result) && unlikely(!PyErr_Occurred())) {\n PyErr_SetString(\n PyExc_SystemError,\n \"NULL result without error in PyObject_Call\");\n }\n return result;\n}\n#endif\n\n/* PyObjectCall2Args */\nstatic CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) {\n PyObject *args, *result = NULL;\n #if CYTHON_FAST_PYCALL\n if (PyFunction_Check(function)) {\n PyObject *args[2] = {arg1, arg2};\n return __Pyx_PyFunction_FastCall(function, args, 2);\n }\n #endif\n #if CYTHON_FAST_PYCCALL\n if (__Pyx_PyFastCFunction_Check(function)) {\n PyObject *args[2] = {arg1, arg2};\n return __Pyx_PyCFunction_FastCall(function, args, 2);\n }\n #endif\n args = PyTuple_New(2);\n if (unlikely(!args)) goto done;\n Py_INCREF(arg1);\n PyTuple_SET_ITEM(args, 0, arg1);\n Py_INCREF(arg2);\n PyTuple_SET_ITEM(args, 1, arg2);\n Py_INCREF(function);\n result = __Pyx_PyObject_Call(function, args, NULL);\n Py_DECREF(args);\n Py_DECREF(function);\ndone:\n return result;\n}\n\n/* PyObjectCallMethO */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {\n PyObject *self, *result;\n PyCFunction cfunc;\n cfunc = PyCFunction_GET_FUNCTION(func);\n self = PyCFunction_GET_SELF(func);\n if (unlikely(Py_EnterRecursiveCall((char*)\" while calling a Python object\")))\n return NULL;\n result = cfunc(self, arg);\n Py_LeaveRecursiveCall();\n if (unlikely(!result) && unlikely(!PyErr_Occurred())) {\n PyErr_SetString(\n PyExc_SystemError,\n \"NULL result without error in PyObject_Call\");\n }\n return result;\n}\n#endif\n\n/* PyObjectCallOneArg */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {\n PyObject *result;\n PyObject *args = PyTuple_New(1);\n if (unlikely(!args)) return NULL;\n Py_INCREF(arg);\n PyTuple_SET_ITEM(args, 0, arg);\n result = __Pyx_PyObject_Call(func, args, NULL);\n Py_DECREF(args);\n return result;\n}\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {\n#if CYTHON_FAST_PYCALL\n if (PyFunction_Check(func)) {\n return __Pyx_PyFunction_FastCall(func, &arg, 1);\n }\n#endif\n if (likely(PyCFunction_Check(func))) {\n if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {\n return __Pyx_PyObject_CallMethO(func, arg);\n#if CYTHON_FAST_PYCCALL\n } else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) {\n return __Pyx_PyCFunction_FastCall(func, &arg, 1);\n#endif\n }\n }\n return __Pyx__PyObject_CallOneArg(func, arg);\n}\n#else\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {\n PyObject *result;\n PyObject *args = PyTuple_Pack(1, arg);\n if (unlikely(!args)) return NULL;\n result = __Pyx_PyObject_Call(func, args, NULL);\n Py_DECREF(args);\n return result;\n}\n#endif\n\n/* PyObjectCallNoArg */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) {\n#if CYTHON_FAST_PYCALL\n if (PyFunction_Check(func)) {\n return __Pyx_PyFunction_FastCall(func, NULL, 0);\n }\n#endif\n#ifdef __Pyx_CyFunction_USED\n if (likely(PyCFunction_Check(func) || __Pyx_CyFunction_Check(func)))\n#else\n if (likely(PyCFunction_Check(func)))\n#endif\n {\n if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) {\n return __Pyx_PyObject_CallMethO(func, NULL);\n }\n }\n return __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL);\n}\n#endif\n\n/* RaiseException */\n#if PY_MAJOR_VERSION < 3\nstatic void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,\n CYTHON_UNUSED PyObject *cause) {\n __Pyx_PyThreadState_declare\n Py_XINCREF(type);\n if (!value || value == Py_None)\n value = NULL;\n else\n Py_INCREF(value);\n if (!tb || tb == Py_None)\n tb = NULL;\n else {\n Py_INCREF(tb);\n if (!PyTraceBack_Check(tb)) {\n PyErr_SetString(PyExc_TypeError,\n \"raise: arg 3 must be a traceback or None\");\n goto raise_error;\n }\n }\n if (PyType_Check(type)) {\n#if CYTHON_COMPILING_IN_PYPY\n if (!value) {\n Py_INCREF(Py_None);\n value = Py_None;\n }\n#endif\n PyErr_NormalizeException(&type, &value, &tb);\n } else {\n if (value) {\n PyErr_SetString(PyExc_TypeError,\n \"instance exception may not have a separate value\");\n goto raise_error;\n }\n value = type;\n type = (PyObject*) Py_TYPE(type);\n Py_INCREF(type);\n if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {\n PyErr_SetString(PyExc_TypeError,\n \"raise: exception class must be a subclass of BaseException\");\n goto raise_error;\n }\n }\n __Pyx_PyThreadState_assign\n __Pyx_ErrRestore(type, value, tb);\n return;\nraise_error:\n Py_XDECREF(value);\n Py_XDECREF(type);\n Py_XDECREF(tb);\n return;\n}\n#else\nstatic void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {\n PyObject* owned_instance = NULL;\n if (tb == Py_None) {\n tb = 0;\n } else if (tb && !PyTraceBack_Check(tb)) {\n PyErr_SetString(PyExc_TypeError,\n \"raise: arg 3 must be a traceback or None\");\n goto bad;\n }\n if (value == Py_None)\n value = 0;\n if (PyExceptionInstance_Check(type)) {\n if (value) {\n PyErr_SetString(PyExc_TypeError,\n \"instance exception may not have a separate value\");\n goto bad;\n }\n value = type;\n type = (PyObject*) Py_TYPE(value);\n } else if (PyExceptionClass_Check(type)) {\n PyObject *instance_class = NULL;\n if (value && PyExceptionInstance_Check(value)) {\n instance_class = (PyObject*) Py_TYPE(value);\n if (instance_class != type) {\n int is_subclass = PyObject_IsSubclass(instance_class, type);\n if (!is_subclass) {\n instance_class = NULL;\n } else if (unlikely(is_subclass == -1)) {\n goto bad;\n } else {\n type = instance_class;\n }\n }\n }\n if (!instance_class) {\n PyObject *args;\n if (!value)\n args = PyTuple_New(0);\n else if (PyTuple_Check(value)) {\n Py_INCREF(value);\n args = value;\n } else\n args = PyTuple_Pack(1, value);\n if (!args)\n goto bad;\n owned_instance = PyObject_Call(type, args, NULL);\n Py_DECREF(args);\n if (!owned_instance)\n goto bad;\n value = owned_instance;\n if (!PyExceptionInstance_Check(value)) {\n PyErr_Format(PyExc_TypeError,\n \"calling %R should have returned an instance of \"\n \"BaseException, not %R\",\n type, Py_TYPE(value));\n goto bad;\n }\n }\n } else {\n PyErr_SetString(PyExc_TypeError,\n \"raise: exception class must be a subclass of BaseException\");\n goto bad;\n }\n if (cause) {\n PyObject *fixed_cause;\n if (cause == Py_None) {\n fixed_cause = NULL;\n } else if (PyExceptionClass_Check(cause)) {\n fixed_cause = PyObject_CallObject(cause, NULL);\n if (fixed_cause == NULL)\n goto bad;\n } else if (PyExceptionInstance_Check(cause)) {\n fixed_cause = cause;\n Py_INCREF(fixed_cause);\n } else {\n PyErr_SetString(PyExc_TypeError,\n \"exception causes must derive from \"\n \"BaseException\");\n goto bad;\n }\n PyException_SetCause(value, fixed_cause);\n }\n PyErr_SetObject(type, value);\n if (tb) {\n#if CYTHON_COMPILING_IN_PYPY\n PyObject *tmp_type, *tmp_value, *tmp_tb;\n PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb);\n Py_INCREF(tb);\n PyErr_Restore(tmp_type, tmp_value, tb);\n Py_XDECREF(tmp_tb);\n#else\n PyThreadState *tstate = __Pyx_PyThreadState_Current;\n PyObject* tmp_tb = tstate->curexc_traceback;\n if (tb != tmp_tb) {\n Py_INCREF(tb);\n tstate->curexc_traceback = tb;\n Py_XDECREF(tmp_tb);\n }\n#endif\n }\nbad:\n Py_XDECREF(owned_instance);\n return;\n}\n#endif\n\n/* pyobject_as_double */\nstatic double __Pyx__PyObject_AsDouble(PyObject* obj) {\n PyObject* float_value;\n#if !CYTHON_USE_TYPE_SLOTS\n float_value = PyNumber_Float(obj); if ((0)) goto bad;\n#else\n PyNumberMethods *nb = Py_TYPE(obj)->tp_as_number;\n if (likely(nb) && likely(nb->nb_float)) {\n float_value = nb->nb_float(obj);\n if (likely(float_value) && unlikely(!PyFloat_Check(float_value))) {\n PyErr_Format(PyExc_TypeError,\n \"__float__ returned non-float (type %.200s)\",\n Py_TYPE(float_value)->tp_name);\n Py_DECREF(float_value);\n goto bad;\n }\n } else if (PyUnicode_CheckExact(obj) || PyBytes_CheckExact(obj)) {\n#if PY_MAJOR_VERSION >= 3\n float_value = PyFloat_FromString(obj);\n#else\n float_value = PyFloat_FromString(obj, 0);\n#endif\n } else {\n PyObject* args = PyTuple_New(1);\n if (unlikely(!args)) goto bad;\n PyTuple_SET_ITEM(args, 0, obj);\n float_value = PyObject_Call((PyObject*)&PyFloat_Type, args, 0);\n PyTuple_SET_ITEM(args, 0, 0);\n Py_DECREF(args);\n }\n#endif\n if (likely(float_value)) {\n double value = PyFloat_AS_DOUBLE(float_value);\n Py_DECREF(float_value);\n return value;\n }\nbad:\n return (double)-1;\n}\n\n/* PyObjectGetMethod */\nstatic int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method) {\n PyObject *attr;\n#if CYTHON_UNPACK_METHODS && CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_PYTYPE_LOOKUP\n PyTypeObject *tp = Py_TYPE(obj);\n PyObject *descr;\n descrgetfunc f = NULL;\n PyObject **dictptr, *dict;\n int meth_found = 0;\n assert (*method == NULL);\n if (unlikely(tp->tp_getattro != PyObject_GenericGetAttr)) {\n attr = __Pyx_PyObject_GetAttrStr(obj, name);\n goto try_unpack;\n }\n if (unlikely(tp->tp_dict == NULL) && unlikely(PyType_Ready(tp) < 0)) {\n return 0;\n }\n descr = _PyType_Lookup(tp, name);\n if (likely(descr != NULL)) {\n Py_INCREF(descr);\n#if PY_MAJOR_VERSION >= 3\n #ifdef __Pyx_CyFunction_USED\n if (likely(PyFunction_Check(descr) || (Py_TYPE(descr) == &PyMethodDescr_Type) || __Pyx_CyFunction_Check(descr)))\n #else\n if (likely(PyFunction_Check(descr) || (Py_TYPE(descr) == &PyMethodDescr_Type)))\n #endif\n#else\n #ifdef __Pyx_CyFunction_USED\n if (likely(PyFunction_Check(descr) || __Pyx_CyFunction_Check(descr)))\n #else\n if (likely(PyFunction_Check(descr)))\n #endif\n#endif\n {\n meth_found = 1;\n } else {\n f = Py_TYPE(descr)->tp_descr_get;\n if (f != NULL && PyDescr_IsData(descr)) {\n attr = f(descr, obj, (PyObject *)Py_TYPE(obj));\n Py_DECREF(descr);\n goto try_unpack;\n }\n }\n }\n dictptr = _PyObject_GetDictPtr(obj);\n if (dictptr != NULL && (dict = *dictptr) != NULL) {\n Py_INCREF(dict);\n attr = __Pyx_PyDict_GetItemStr(dict, name);\n if (attr != NULL) {\n Py_INCREF(attr);\n Py_DECREF(dict);\n Py_XDECREF(descr);\n goto try_unpack;\n }\n Py_DECREF(dict);\n }\n if (meth_found) {\n *method = descr;\n return 1;\n }\n if (f != NULL) {\n attr = f(descr, obj, (PyObject *)Py_TYPE(obj));\n Py_DECREF(descr);\n goto try_unpack;\n }\n if (descr != NULL) {\n *method = descr;\n return 0;\n }\n PyErr_Format(PyExc_AttributeError,\n#if PY_MAJOR_VERSION >= 3\n \"'%.50s' object has no attribute '%U'\",\n tp->tp_name, name);\n#else\n \"'%.50s' object has no attribute '%.400s'\",\n tp->tp_name, PyString_AS_STRING(name));\n#endif\n return 0;\n#else\n attr = __Pyx_PyObject_GetAttrStr(obj, name);\n goto try_unpack;\n#endif\ntry_unpack:\n#if CYTHON_UNPACK_METHODS\n if (likely(attr) && PyMethod_Check(attr) && likely(PyMethod_GET_SELF(attr) == obj)) {\n PyObject *function = PyMethod_GET_FUNCTION(attr);\n Py_INCREF(function);\n Py_DECREF(attr);\n *method = function;\n return 1;\n }\n#endif\n *method = attr;\n return 0;\n}\n\n/* PyObjectCallMethod1 */\nstatic PyObject* __Pyx__PyObject_CallMethod1(PyObject* method, PyObject* arg) {\n PyObject *result = __Pyx_PyObject_CallOneArg(method, arg);\n Py_DECREF(method);\n return result;\n}\nstatic PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg) {\n PyObject *method = NULL, *result;\n int is_method = __Pyx_PyObject_GetMethod(obj, method_name, &method);\n if (likely(is_method)) {\n result = __Pyx_PyObject_Call2Args(method, obj, arg);\n Py_DECREF(method);\n return result;\n }\n if (unlikely(!method)) return NULL;\n return __Pyx__PyObject_CallMethod1(method, arg);\n}\n\n/* append */\nstatic CYTHON_INLINE int __Pyx_PyObject_Append(PyObject* L, PyObject* x) {\n if (likely(PyList_CheckExact(L))) {\n if (unlikely(__Pyx_PyList_Append(L, x) < 0)) return -1;\n } else {\n PyObject* retval = __Pyx_PyObject_CallMethod1(L, __pyx_n_s_append, x);\n if (unlikely(!retval))\n return -1;\n Py_DECREF(retval);\n }\n return 0;\n}\n\n/* RaiseDoubleKeywords */\nstatic void __Pyx_RaiseDoubleKeywordsError(\n const char* func_name,\n PyObject* kw_name)\n{\n PyErr_Format(PyExc_TypeError,\n #if PY_MAJOR_VERSION >= 3\n \"%s() got multiple values for keyword argument '%U'\", func_name, kw_name);\n #else\n \"%s() got multiple values for keyword argument '%s'\", func_name,\n PyString_AsString(kw_name));\n #endif\n}\n\n/* ParseKeywords */\nstatic int __Pyx_ParseOptionalKeywords(\n PyObject *kwds,\n PyObject **argnames[],\n PyObject *kwds2,\n PyObject *values[],\n Py_ssize_t num_pos_args,\n const char* function_name)\n{\n PyObject *key = 0, *value = 0;\n Py_ssize_t pos = 0;\n PyObject*** name;\n PyObject*** first_kw_arg = argnames + num_pos_args;\n while (PyDict_Next(kwds, &pos, &key, &value)) {\n name = first_kw_arg;\n while (*name && (**name != key)) name++;\n if (*name) {\n values[name-argnames] = value;\n continue;\n }\n name = first_kw_arg;\n #if PY_MAJOR_VERSION < 3\n if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) {\n while (*name) {\n if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key))\n && _PyString_Eq(**name, key)) {\n values[name-argnames] = value;\n break;\n }\n name++;\n }\n if (*name) continue;\n else {\n PyObject*** argname = argnames;\n while (argname != first_kw_arg) {\n if ((**argname == key) || (\n (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key))\n && _PyString_Eq(**argname, key))) {\n goto arg_passed_twice;\n }\n argname++;\n }\n }\n } else\n #endif\n if (likely(PyUnicode_Check(key))) {\n while (*name) {\n int cmp = (**name == key) ? 0 :\n #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3\n (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :\n #endif\n PyUnicode_Compare(**name, key);\n if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;\n if (cmp == 0) {\n values[name-argnames] = value;\n break;\n }\n name++;\n }\n if (*name) continue;\n else {\n PyObject*** argname = argnames;\n while (argname != first_kw_arg) {\n int cmp = (**argname == key) ? 0 :\n #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3\n (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :\n #endif\n PyUnicode_Compare(**argname, key);\n if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;\n if (cmp == 0) goto arg_passed_twice;\n argname++;\n }\n }\n } else\n goto invalid_keyword_type;\n if (kwds2) {\n if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;\n } else {\n goto invalid_keyword;\n }\n }\n return 0;\narg_passed_twice:\n __Pyx_RaiseDoubleKeywordsError(function_name, key);\n goto bad;\ninvalid_keyword_type:\n PyErr_Format(PyExc_TypeError,\n \"%.200s() keywords must be strings\", function_name);\n goto bad;\ninvalid_keyword:\n PyErr_Format(PyExc_TypeError,\n #if PY_MAJOR_VERSION < 3\n \"%.200s() got an unexpected keyword argument '%.200s'\",\n function_name, PyString_AsString(key));\n #else\n \"%s() got an unexpected keyword argument '%U'\",\n function_name, key);\n #endif\nbad:\n return -1;\n}\n\n/* RaiseArgTupleInvalid */\nstatic void __Pyx_RaiseArgtupleInvalid(\n const char* func_name,\n int exact,\n Py_ssize_t num_min,\n Py_ssize_t num_max,\n Py_ssize_t num_found)\n{\n Py_ssize_t num_expected;\n const char *more_or_less;\n if (num_found < num_min) {\n num_expected = num_min;\n more_or_less = \"at least\";\n } else {\n num_expected = num_max;\n more_or_less = \"at most\";\n }\n if (exact) {\n more_or_less = \"exactly\";\n }\n PyErr_Format(PyExc_TypeError,\n \"%.200s() takes %.8s %\" CYTHON_FORMAT_SSIZE_T \"d positional argument%.1s (%\" CYTHON_FORMAT_SSIZE_T \"d given)\",\n func_name, more_or_less, num_expected,\n (num_expected == 1) ? \"\" : \"s\", num_found);\n}\n\n/* FetchCommonType */\nstatic PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type) {\n PyObject* fake_module;\n PyTypeObject* cached_type = NULL;\n fake_module = PyImport_AddModule((char*) \"_cython_\" CYTHON_ABI);\n if (!fake_module) return NULL;\n Py_INCREF(fake_module);\n cached_type = (PyTypeObject*) PyObject_GetAttrString(fake_module, type->tp_name);\n if (cached_type) {\n if (!PyType_Check((PyObject*)cached_type)) {\n PyErr_Format(PyExc_TypeError,\n \"Shared Cython type %.200s is not a type object\",\n type->tp_name);\n goto bad;\n }\n if (cached_type->tp_basicsize != type->tp_basicsize) {\n PyErr_Format(PyExc_TypeError,\n \"Shared Cython type %.200s has the wrong size, try recompiling\",\n type->tp_name);\n goto bad;\n }\n } else {\n if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad;\n PyErr_Clear();\n if (PyType_Ready(type) < 0) goto bad;\n if (PyObject_SetAttrString(fake_module, type->tp_name, (PyObject*) type) < 0)\n goto bad;\n Py_INCREF(type);\n cached_type = type;\n }\ndone:\n Py_DECREF(fake_module);\n return cached_type;\nbad:\n Py_XDECREF(cached_type);\n cached_type = NULL;\n goto done;\n}\n\n/* CythonFunction */\n#include \nstatic PyObject *\n__Pyx_CyFunction_get_doc(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *closure)\n{\n if (unlikely(op->func_doc == NULL)) {\n if (op->func.m_ml->ml_doc) {\n#if PY_MAJOR_VERSION >= 3\n op->func_doc = PyUnicode_FromString(op->func.m_ml->ml_doc);\n#else\n op->func_doc = PyString_FromString(op->func.m_ml->ml_doc);\n#endif\n if (unlikely(op->func_doc == NULL))\n return NULL;\n } else {\n Py_INCREF(Py_None);\n return Py_None;\n }\n }\n Py_INCREF(op->func_doc);\n return op->func_doc;\n}\nstatic int\n__Pyx_CyFunction_set_doc(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context)\n{\n PyObject *tmp = op->func_doc;\n if (value == NULL) {\n value = Py_None;\n }\n Py_INCREF(value);\n op->func_doc = value;\n Py_XDECREF(tmp);\n return 0;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_name(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context)\n{\n if (unlikely(op->func_name == NULL)) {\n#if PY_MAJOR_VERSION >= 3\n op->func_name = PyUnicode_InternFromString(op->func.m_ml->ml_name);\n#else\n op->func_name = PyString_InternFromString(op->func.m_ml->ml_name);\n#endif\n if (unlikely(op->func_name == NULL))\n return NULL;\n }\n Py_INCREF(op->func_name);\n return op->func_name;\n}\nstatic int\n__Pyx_CyFunction_set_name(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context)\n{\n PyObject *tmp;\n#if PY_MAJOR_VERSION >= 3\n if (unlikely(value == NULL || !PyUnicode_Check(value)))\n#else\n if (unlikely(value == NULL || !PyString_Check(value)))\n#endif\n {\n PyErr_SetString(PyExc_TypeError,\n \"__name__ must be set to a string object\");\n return -1;\n }\n tmp = op->func_name;\n Py_INCREF(value);\n op->func_name = value;\n Py_XDECREF(tmp);\n return 0;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_qualname(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context)\n{\n Py_INCREF(op->func_qualname);\n return op->func_qualname;\n}\nstatic int\n__Pyx_CyFunction_set_qualname(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context)\n{\n PyObject *tmp;\n#if PY_MAJOR_VERSION >= 3\n if (unlikely(value == NULL || !PyUnicode_Check(value)))\n#else\n if (unlikely(value == NULL || !PyString_Check(value)))\n#endif\n {\n PyErr_SetString(PyExc_TypeError,\n \"__qualname__ must be set to a string object\");\n return -1;\n }\n tmp = op->func_qualname;\n Py_INCREF(value);\n op->func_qualname = value;\n Py_XDECREF(tmp);\n return 0;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_self(__pyx_CyFunctionObject *m, CYTHON_UNUSED void *closure)\n{\n PyObject *self;\n self = m->func_closure;\n if (self == NULL)\n self = Py_None;\n Py_INCREF(self);\n return self;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_dict(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context)\n{\n if (unlikely(op->func_dict == NULL)) {\n op->func_dict = PyDict_New();\n if (unlikely(op->func_dict == NULL))\n return NULL;\n }\n Py_INCREF(op->func_dict);\n return op->func_dict;\n}\nstatic int\n__Pyx_CyFunction_set_dict(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context)\n{\n PyObject *tmp;\n if (unlikely(value == NULL)) {\n PyErr_SetString(PyExc_TypeError,\n \"function's dictionary may not be deleted\");\n return -1;\n }\n if (unlikely(!PyDict_Check(value))) {\n PyErr_SetString(PyExc_TypeError,\n \"setting function's dictionary to a non-dict\");\n return -1;\n }\n tmp = op->func_dict;\n Py_INCREF(value);\n op->func_dict = value;\n Py_XDECREF(tmp);\n return 0;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_globals(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context)\n{\n Py_INCREF(op->func_globals);\n return op->func_globals;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_closure(CYTHON_UNUSED __pyx_CyFunctionObject *op, CYTHON_UNUSED void *context)\n{\n Py_INCREF(Py_None);\n return Py_None;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_code(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context)\n{\n PyObject* result = (op->func_code) ? op->func_code : Py_None;\n Py_INCREF(result);\n return result;\n}\nstatic int\n__Pyx_CyFunction_init_defaults(__pyx_CyFunctionObject *op) {\n int result = 0;\n PyObject *res = op->defaults_getter((PyObject *) op);\n if (unlikely(!res))\n return -1;\n #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS\n op->defaults_tuple = PyTuple_GET_ITEM(res, 0);\n Py_INCREF(op->defaults_tuple);\n op->defaults_kwdict = PyTuple_GET_ITEM(res, 1);\n Py_INCREF(op->defaults_kwdict);\n #else\n op->defaults_tuple = PySequence_ITEM(res, 0);\n if (unlikely(!op->defaults_tuple)) result = -1;\n else {\n op->defaults_kwdict = PySequence_ITEM(res, 1);\n if (unlikely(!op->defaults_kwdict)) result = -1;\n }\n #endif\n Py_DECREF(res);\n return result;\n}\nstatic int\n__Pyx_CyFunction_set_defaults(__pyx_CyFunctionObject *op, PyObject* value, CYTHON_UNUSED void *context) {\n PyObject* tmp;\n if (!value) {\n value = Py_None;\n } else if (value != Py_None && !PyTuple_Check(value)) {\n PyErr_SetString(PyExc_TypeError,\n \"__defaults__ must be set to a tuple object\");\n return -1;\n }\n Py_INCREF(value);\n tmp = op->defaults_tuple;\n op->defaults_tuple = value;\n Py_XDECREF(tmp);\n return 0;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_defaults(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) {\n PyObject* result = op->defaults_tuple;\n if (unlikely(!result)) {\n if (op->defaults_getter) {\n if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL;\n result = op->defaults_tuple;\n } else {\n result = Py_None;\n }\n }\n Py_INCREF(result);\n return result;\n}\nstatic int\n__Pyx_CyFunction_set_kwdefaults(__pyx_CyFunctionObject *op, PyObject* value, CYTHON_UNUSED void *context) {\n PyObject* tmp;\n if (!value) {\n value = Py_None;\n } else if (value != Py_None && !PyDict_Check(value)) {\n PyErr_SetString(PyExc_TypeError,\n \"__kwdefaults__ must be set to a dict object\");\n return -1;\n }\n Py_INCREF(value);\n tmp = op->defaults_kwdict;\n op->defaults_kwdict = value;\n Py_XDECREF(tmp);\n return 0;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_kwdefaults(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) {\n PyObject* result = op->defaults_kwdict;\n if (unlikely(!result)) {\n if (op->defaults_getter) {\n if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL;\n result = op->defaults_kwdict;\n } else {\n result = Py_None;\n }\n }\n Py_INCREF(result);\n return result;\n}\nstatic int\n__Pyx_CyFunction_set_annotations(__pyx_CyFunctionObject *op, PyObject* value, CYTHON_UNUSED void *context) {\n PyObject* tmp;\n if (!value || value == Py_None) {\n value = NULL;\n } else if (!PyDict_Check(value)) {\n PyErr_SetString(PyExc_TypeError,\n \"__annotations__ must be set to a dict object\");\n return -1;\n }\n Py_XINCREF(value);\n tmp = op->func_annotations;\n op->func_annotations = value;\n Py_XDECREF(tmp);\n return 0;\n}\nstatic PyObject *\n__Pyx_CyFunction_get_annotations(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) {\n PyObject* result = op->func_annotations;\n if (unlikely(!result)) {\n result = PyDict_New();\n if (unlikely(!result)) return NULL;\n op->func_annotations = result;\n }\n Py_INCREF(result);\n return result;\n}\nstatic PyGetSetDef __pyx_CyFunction_getsets[] = {\n {(char *) \"func_doc\", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0},\n {(char *) \"__doc__\", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0},\n {(char *) \"func_name\", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0},\n {(char *) \"__name__\", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0},\n {(char *) \"__qualname__\", (getter)__Pyx_CyFunction_get_qualname, (setter)__Pyx_CyFunction_set_qualname, 0, 0},\n {(char *) \"__self__\", (getter)__Pyx_CyFunction_get_self, 0, 0, 0},\n {(char *) \"func_dict\", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0},\n {(char *) \"__dict__\", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0},\n {(char *) \"func_globals\", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0},\n {(char *) \"__globals__\", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0},\n {(char *) \"func_closure\", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0},\n {(char *) \"__closure__\", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0},\n {(char *) \"func_code\", (getter)__Pyx_CyFunction_get_code, 0, 0, 0},\n {(char *) \"__code__\", (getter)__Pyx_CyFunction_get_code, 0, 0, 0},\n {(char *) \"func_defaults\", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0},\n {(char *) \"__defaults__\", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0},\n {(char *) \"__kwdefaults__\", (getter)__Pyx_CyFunction_get_kwdefaults, (setter)__Pyx_CyFunction_set_kwdefaults, 0, 0},\n {(char *) \"__annotations__\", (getter)__Pyx_CyFunction_get_annotations, (setter)__Pyx_CyFunction_set_annotations, 0, 0},\n {0, 0, 0, 0, 0}\n};\nstatic PyMemberDef __pyx_CyFunction_members[] = {\n {(char *) \"__module__\", T_OBJECT, offsetof(PyCFunctionObject, m_module), PY_WRITE_RESTRICTED, 0},\n {0, 0, 0, 0, 0}\n};\nstatic PyObject *\n__Pyx_CyFunction_reduce(__pyx_CyFunctionObject *m, CYTHON_UNUSED PyObject *args)\n{\n#if PY_MAJOR_VERSION >= 3\n return PyUnicode_FromString(m->func.m_ml->ml_name);\n#else\n return PyString_FromString(m->func.m_ml->ml_name);\n#endif\n}\nstatic PyMethodDef __pyx_CyFunction_methods[] = {\n {\"__reduce__\", (PyCFunction)__Pyx_CyFunction_reduce, METH_VARARGS, 0},\n {0, 0, 0, 0}\n};\n#if PY_VERSION_HEX < 0x030500A0\n#define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func_weakreflist)\n#else\n#define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func.m_weakreflist)\n#endif\nstatic PyObject *__Pyx_CyFunction_New(PyTypeObject *type, PyMethodDef *ml, int flags, PyObject* qualname,\n PyObject *closure, PyObject *module, PyObject* globals, PyObject* code) {\n __pyx_CyFunctionObject *op = PyObject_GC_New(__pyx_CyFunctionObject, type);\n if (op == NULL)\n return NULL;\n op->flags = flags;\n __Pyx_CyFunction_weakreflist(op) = NULL;\n op->func.m_ml = ml;\n op->func.m_self = (PyObject *) op;\n Py_XINCREF(closure);\n op->func_closure = closure;\n Py_XINCREF(module);\n op->func.m_module = module;\n op->func_dict = NULL;\n op->func_name = NULL;\n Py_INCREF(qualname);\n op->func_qualname = qualname;\n op->func_doc = NULL;\n op->func_classobj = NULL;\n op->func_globals = globals;\n Py_INCREF(op->func_globals);\n Py_XINCREF(code);\n op->func_code = code;\n op->defaults_pyobjects = 0;\n op->defaults = NULL;\n op->defaults_tuple = NULL;\n op->defaults_kwdict = NULL;\n op->defaults_getter = NULL;\n op->func_annotations = NULL;\n PyObject_GC_Track(op);\n return (PyObject *) op;\n}\nstatic int\n__Pyx_CyFunction_clear(__pyx_CyFunctionObject *m)\n{\n Py_CLEAR(m->func_closure);\n Py_CLEAR(m->func.m_module);\n Py_CLEAR(m->func_dict);\n Py_CLEAR(m->func_name);\n Py_CLEAR(m->func_qualname);\n Py_CLEAR(m->func_doc);\n Py_CLEAR(m->func_globals);\n Py_CLEAR(m->func_code);\n Py_CLEAR(m->func_classobj);\n Py_CLEAR(m->defaults_tuple);\n Py_CLEAR(m->defaults_kwdict);\n Py_CLEAR(m->func_annotations);\n if (m->defaults) {\n PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m);\n int i;\n for (i = 0; i < m->defaults_pyobjects; i++)\n Py_XDECREF(pydefaults[i]);\n PyObject_Free(m->defaults);\n m->defaults = NULL;\n }\n return 0;\n}\nstatic void __Pyx__CyFunction_dealloc(__pyx_CyFunctionObject *m)\n{\n if (__Pyx_CyFunction_weakreflist(m) != NULL)\n PyObject_ClearWeakRefs((PyObject *) m);\n __Pyx_CyFunction_clear(m);\n PyObject_GC_Del(m);\n}\nstatic void __Pyx_CyFunction_dealloc(__pyx_CyFunctionObject *m)\n{\n PyObject_GC_UnTrack(m);\n __Pyx__CyFunction_dealloc(m);\n}\nstatic int __Pyx_CyFunction_traverse(__pyx_CyFunctionObject *m, visitproc visit, void *arg)\n{\n Py_VISIT(m->func_closure);\n Py_VISIT(m->func.m_module);\n Py_VISIT(m->func_dict);\n Py_VISIT(m->func_name);\n Py_VISIT(m->func_qualname);\n Py_VISIT(m->func_doc);\n Py_VISIT(m->func_globals);\n Py_VISIT(m->func_code);\n Py_VISIT(m->func_classobj);\n Py_VISIT(m->defaults_tuple);\n Py_VISIT(m->defaults_kwdict);\n if (m->defaults) {\n PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m);\n int i;\n for (i = 0; i < m->defaults_pyobjects; i++)\n Py_VISIT(pydefaults[i]);\n }\n return 0;\n}\nstatic PyObject *__Pyx_CyFunction_descr_get(PyObject *func, PyObject *obj, PyObject *type)\n{\n __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;\n if (m->flags & __Pyx_CYFUNCTION_STATICMETHOD) {\n Py_INCREF(func);\n return func;\n }\n if (m->flags & __Pyx_CYFUNCTION_CLASSMETHOD) {\n if (type == NULL)\n type = (PyObject *)(Py_TYPE(obj));\n return __Pyx_PyMethod_New(func, type, (PyObject *)(Py_TYPE(type)));\n }\n if (obj == Py_None)\n obj = NULL;\n return __Pyx_PyMethod_New(func, obj, type);\n}\nstatic PyObject*\n__Pyx_CyFunction_repr(__pyx_CyFunctionObject *op)\n{\n#if PY_MAJOR_VERSION >= 3\n return PyUnicode_FromFormat(\"\",\n op->func_qualname, (void *)op);\n#else\n return PyString_FromFormat(\"\",\n PyString_AsString(op->func_qualname), (void *)op);\n#endif\n}\nstatic PyObject * __Pyx_CyFunction_CallMethod(PyObject *func, PyObject *self, PyObject *arg, PyObject *kw) {\n PyCFunctionObject* f = (PyCFunctionObject*)func;\n PyCFunction meth = f->m_ml->ml_meth;\n Py_ssize_t size;\n switch (f->m_ml->ml_flags & (METH_VARARGS | METH_KEYWORDS | METH_NOARGS | METH_O)) {\n case METH_VARARGS:\n if (likely(kw == NULL || PyDict_Size(kw) == 0))\n return (*meth)(self, arg);\n break;\n case METH_VARARGS | METH_KEYWORDS:\n return (*(PyCFunctionWithKeywords)(void*)meth)(self, arg, kw);\n case METH_NOARGS:\n if (likely(kw == NULL || PyDict_Size(kw) == 0)) {\n size = PyTuple_GET_SIZE(arg);\n if (likely(size == 0))\n return (*meth)(self, NULL);\n PyErr_Format(PyExc_TypeError,\n \"%.200s() takes no arguments (%\" CYTHON_FORMAT_SSIZE_T \"d given)\",\n f->m_ml->ml_name, size);\n return NULL;\n }\n break;\n case METH_O:\n if (likely(kw == NULL || PyDict_Size(kw) == 0)) {\n size = PyTuple_GET_SIZE(arg);\n if (likely(size == 1)) {\n PyObject *result, *arg0;\n #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS\n arg0 = PyTuple_GET_ITEM(arg, 0);\n #else\n arg0 = PySequence_ITEM(arg, 0); if (unlikely(!arg0)) return NULL;\n #endif\n result = (*meth)(self, arg0);\n #if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS)\n Py_DECREF(arg0);\n #endif\n return result;\n }\n PyErr_Format(PyExc_TypeError,\n \"%.200s() takes exactly one argument (%\" CYTHON_FORMAT_SSIZE_T \"d given)\",\n f->m_ml->ml_name, size);\n return NULL;\n }\n break;\n default:\n PyErr_SetString(PyExc_SystemError, \"Bad call flags in \"\n \"__Pyx_CyFunction_Call. METH_OLDARGS is no \"\n \"longer supported!\");\n return NULL;\n }\n PyErr_Format(PyExc_TypeError, \"%.200s() takes no keyword arguments\",\n f->m_ml->ml_name);\n return NULL;\n}\nstatic CYTHON_INLINE PyObject *__Pyx_CyFunction_Call(PyObject *func, PyObject *arg, PyObject *kw) {\n return __Pyx_CyFunction_CallMethod(func, ((PyCFunctionObject*)func)->m_self, arg, kw);\n}\nstatic PyObject *__Pyx_CyFunction_CallAsMethod(PyObject *func, PyObject *args, PyObject *kw) {\n PyObject *result;\n __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *) func;\n if ((cyfunc->flags & __Pyx_CYFUNCTION_CCLASS) && !(cyfunc->flags & __Pyx_CYFUNCTION_STATICMETHOD)) {\n Py_ssize_t argc;\n PyObject *new_args;\n PyObject *self;\n argc = PyTuple_GET_SIZE(args);\n new_args = PyTuple_GetSlice(args, 1, argc);\n if (unlikely(!new_args))\n return NULL;\n self = PyTuple_GetItem(args, 0);\n if (unlikely(!self)) {\n Py_DECREF(new_args);\n return NULL;\n }\n result = __Pyx_CyFunction_CallMethod(func, self, new_args, kw);\n Py_DECREF(new_args);\n } else {\n result = __Pyx_CyFunction_Call(func, args, kw);\n }\n return result;\n}\nstatic PyTypeObject __pyx_CyFunctionType_type = {\n PyVarObject_HEAD_INIT(0, 0)\n \"cython_function_or_method\",\n sizeof(__pyx_CyFunctionObject),\n 0,\n (destructor) __Pyx_CyFunction_dealloc,\n 0,\n 0,\n 0,\n#if PY_MAJOR_VERSION < 3\n 0,\n#else\n 0,\n#endif\n (reprfunc) __Pyx_CyFunction_repr,\n 0,\n 0,\n 0,\n 0,\n __Pyx_CyFunction_CallAsMethod,\n 0,\n 0,\n 0,\n 0,\n Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC,\n 0,\n (traverseproc) __Pyx_CyFunction_traverse,\n (inquiry) __Pyx_CyFunction_clear,\n 0,\n#if PY_VERSION_HEX < 0x030500A0\n offsetof(__pyx_CyFunctionObject, func_weakreflist),\n#else\n offsetof(PyCFunctionObject, m_weakreflist),\n#endif\n 0,\n 0,\n __pyx_CyFunction_methods,\n __pyx_CyFunction_members,\n __pyx_CyFunction_getsets,\n 0,\n 0,\n __Pyx_CyFunction_descr_get,\n 0,\n offsetof(__pyx_CyFunctionObject, func_dict),\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n#if PY_VERSION_HEX >= 0x030400a1\n 0,\n#endif\n};\nstatic int __pyx_CyFunction_init(void) {\n __pyx_CyFunctionType = __Pyx_FetchCommonType(&__pyx_CyFunctionType_type);\n if (unlikely(__pyx_CyFunctionType == NULL)) {\n return -1;\n }\n return 0;\n}\nstatic CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *func, size_t size, int pyobjects) {\n __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;\n m->defaults = PyObject_Malloc(size);\n if (unlikely(!m->defaults))\n return PyErr_NoMemory();\n memset(m->defaults, 0, size);\n m->defaults_pyobjects = pyobjects;\n return m->defaults;\n}\nstatic CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *func, PyObject *tuple) {\n __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;\n m->defaults_tuple = tuple;\n Py_INCREF(tuple);\n}\nstatic CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *func, PyObject *dict) {\n __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;\n m->defaults_kwdict = dict;\n Py_INCREF(dict);\n}\nstatic CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *func, PyObject *dict) {\n __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;\n m->func_annotations = dict;\n Py_INCREF(dict);\n}\n\n/* PyObject_GenericGetAttrNoDict */\n#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000\nstatic PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) {\n PyErr_Format(PyExc_AttributeError,\n#if PY_MAJOR_VERSION >= 3\n \"'%.50s' object has no attribute '%U'\",\n tp->tp_name, attr_name);\n#else\n \"'%.50s' object has no attribute '%.400s'\",\n tp->tp_name, PyString_AS_STRING(attr_name));\n#endif\n return NULL;\n}\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) {\n PyObject *descr;\n PyTypeObject *tp = Py_TYPE(obj);\n if (unlikely(!PyString_Check(attr_name))) {\n return PyObject_GenericGetAttr(obj, attr_name);\n }\n assert(!tp->tp_dictoffset);\n descr = _PyType_Lookup(tp, attr_name);\n if (unlikely(!descr)) {\n return __Pyx_RaiseGenericGetAttributeError(tp, attr_name);\n }\n Py_INCREF(descr);\n #if PY_MAJOR_VERSION < 3\n if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS)))\n #endif\n {\n descrgetfunc f = Py_TYPE(descr)->tp_descr_get;\n if (unlikely(f)) {\n PyObject *res = f(descr, obj, (PyObject *)tp);\n Py_DECREF(descr);\n return res;\n }\n }\n return descr;\n}\n#endif\n\n/* Import */\nstatic PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {\n PyObject *empty_list = 0;\n PyObject *module = 0;\n PyObject *global_dict = 0;\n PyObject *empty_dict = 0;\n PyObject *list;\n #if PY_MAJOR_VERSION < 3\n PyObject *py_import;\n py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);\n if (!py_import)\n goto bad;\n #endif\n if (from_list)\n list = from_list;\n else {\n empty_list = PyList_New(0);\n if (!empty_list)\n goto bad;\n list = empty_list;\n }\n global_dict = PyModule_GetDict(__pyx_m);\n if (!global_dict)\n goto bad;\n empty_dict = PyDict_New();\n if (!empty_dict)\n goto bad;\n {\n #if PY_MAJOR_VERSION >= 3\n if (level == -1) {\n if (strchr(__Pyx_MODULE_NAME, '.')) {\n module = PyImport_ImportModuleLevelObject(\n name, global_dict, empty_dict, list, 1);\n if (!module) {\n if (!PyErr_ExceptionMatches(PyExc_ImportError))\n goto bad;\n PyErr_Clear();\n }\n }\n level = 0;\n }\n #endif\n if (!module) {\n #if PY_MAJOR_VERSION < 3\n PyObject *py_level = PyInt_FromLong(level);\n if (!py_level)\n goto bad;\n module = PyObject_CallFunctionObjArgs(py_import,\n name, global_dict, empty_dict, list, py_level, (PyObject *)NULL);\n Py_DECREF(py_level);\n #else\n module = PyImport_ImportModuleLevelObject(\n name, global_dict, empty_dict, list, level);\n #endif\n }\n }\nbad:\n #if PY_MAJOR_VERSION < 3\n Py_XDECREF(py_import);\n #endif\n Py_XDECREF(empty_list);\n Py_XDECREF(empty_dict);\n return module;\n}\n\n/* ImportFrom */\nstatic PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {\n PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);\n if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {\n PyErr_Format(PyExc_ImportError,\n #if PY_MAJOR_VERSION < 3\n \"cannot import name %.230s\", PyString_AS_STRING(name));\n #else\n \"cannot import name %S\", name);\n #endif\n }\n return value;\n}\n\n/* CLineInTraceback */\n#ifndef CYTHON_CLINE_IN_TRACEBACK\nstatic int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) {\n PyObject *use_cline;\n PyObject *ptype, *pvalue, *ptraceback;\n#if CYTHON_COMPILING_IN_CPYTHON\n PyObject **cython_runtime_dict;\n#endif\n if (unlikely(!__pyx_cython_runtime)) {\n return c_line;\n }\n __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);\n#if CYTHON_COMPILING_IN_CPYTHON\n cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime);\n if (likely(cython_runtime_dict)) {\n __PYX_PY_DICT_LOOKUP_IF_MODIFIED(\n use_cline, *cython_runtime_dict,\n __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback))\n } else\n#endif\n {\n PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback);\n if (use_cline_obj) {\n use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True;\n Py_DECREF(use_cline_obj);\n } else {\n PyErr_Clear();\n use_cline = NULL;\n }\n }\n if (!use_cline) {\n c_line = 0;\n PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False);\n }\n else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) {\n c_line = 0;\n }\n __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);\n return c_line;\n}\n#endif\n\n/* CodeObjectCache */\nstatic int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {\n int start = 0, mid = 0, end = count - 1;\n if (end >= 0 && code_line > entries[end].code_line) {\n return count;\n }\n while (start < end) {\n mid = start + (end - start) / 2;\n if (code_line < entries[mid].code_line) {\n end = mid;\n } else if (code_line > entries[mid].code_line) {\n start = mid + 1;\n } else {\n return mid;\n }\n }\n if (code_line <= entries[mid].code_line) {\n return mid;\n } else {\n return mid + 1;\n }\n}\nstatic PyCodeObject *__pyx_find_code_object(int code_line) {\n PyCodeObject* code_object;\n int pos;\n if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {\n return NULL;\n }\n pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);\n if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {\n return NULL;\n }\n code_object = __pyx_code_cache.entries[pos].code_object;\n Py_INCREF(code_object);\n return code_object;\n}\nstatic void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {\n int pos, i;\n __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;\n if (unlikely(!code_line)) {\n return;\n }\n if (unlikely(!entries)) {\n entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));\n if (likely(entries)) {\n __pyx_code_cache.entries = entries;\n __pyx_code_cache.max_count = 64;\n __pyx_code_cache.count = 1;\n entries[0].code_line = code_line;\n entries[0].code_object = code_object;\n Py_INCREF(code_object);\n }\n return;\n }\n pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);\n if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {\n PyCodeObject* tmp = entries[pos].code_object;\n entries[pos].code_object = code_object;\n Py_DECREF(tmp);\n return;\n }\n if (__pyx_code_cache.count == __pyx_code_cache.max_count) {\n int new_max = __pyx_code_cache.max_count + 64;\n entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(\n __pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry));\n if (unlikely(!entries)) {\n return;\n }\n __pyx_code_cache.entries = entries;\n __pyx_code_cache.max_count = new_max;\n }\n for (i=__pyx_code_cache.count; i>pos; i--) {\n entries[i] = entries[i-1];\n }\n entries[pos].code_line = code_line;\n entries[pos].code_object = code_object;\n __pyx_code_cache.count++;\n Py_INCREF(code_object);\n}\n\n/* AddTraceback */\n#include \"compile.h\"\n#include \"frameobject.h\"\n#include \"traceback.h\"\nstatic PyCodeObject* __Pyx_CreateCodeObjectForTraceback(\n const char *funcname, int c_line,\n int py_line, const char *filename) {\n PyCodeObject *py_code = 0;\n PyObject *py_srcfile = 0;\n PyObject *py_funcname = 0;\n #if PY_MAJOR_VERSION < 3\n py_srcfile = PyString_FromString(filename);\n #else\n py_srcfile = PyUnicode_FromString(filename);\n #endif\n if (!py_srcfile) goto bad;\n if (c_line) {\n #if PY_MAJOR_VERSION < 3\n py_funcname = PyString_FromFormat( \"%s (%s:%d)\", funcname, __pyx_cfilenm, c_line);\n #else\n py_funcname = PyUnicode_FromFormat( \"%s (%s:%d)\", funcname, __pyx_cfilenm, c_line);\n #endif\n }\n else {\n #if PY_MAJOR_VERSION < 3\n py_funcname = PyString_FromString(funcname);\n #else\n py_funcname = PyUnicode_FromString(funcname);\n #endif\n }\n if (!py_funcname) goto bad;\n py_code = __Pyx_PyCode_New(\n 0,\n 0,\n 0,\n 0,\n 0,\n __pyx_empty_bytes, /*PyObject *code,*/\n __pyx_empty_tuple, /*PyObject *consts,*/\n __pyx_empty_tuple, /*PyObject *names,*/\n __pyx_empty_tuple, /*PyObject *varnames,*/\n __pyx_empty_tuple, /*PyObject *freevars,*/\n __pyx_empty_tuple, /*PyObject *cellvars,*/\n py_srcfile, /*PyObject *filename,*/\n py_funcname, /*PyObject *name,*/\n py_line,\n __pyx_empty_bytes /*PyObject *lnotab*/\n );\n Py_DECREF(py_srcfile);\n Py_DECREF(py_funcname);\n return py_code;\nbad:\n Py_XDECREF(py_srcfile);\n Py_XDECREF(py_funcname);\n return NULL;\n}\nstatic void __Pyx_AddTraceback(const char *funcname, int c_line,\n int py_line, const char *filename) {\n PyCodeObject *py_code = 0;\n PyFrameObject *py_frame = 0;\n PyThreadState *tstate = __Pyx_PyThreadState_Current;\n if (c_line) {\n c_line = __Pyx_CLineForTraceback(tstate, c_line);\n }\n py_code = __pyx_find_code_object(c_line ? -c_line : py_line);\n if (!py_code) {\n py_code = __Pyx_CreateCodeObjectForTraceback(\n funcname, c_line, py_line, filename);\n if (!py_code) goto bad;\n __pyx_insert_code_object(c_line ? -c_line : py_line, py_code);\n }\n py_frame = PyFrame_New(\n tstate, /*PyThreadState *tstate,*/\n py_code, /*PyCodeObject *code,*/\n __pyx_d, /*PyObject *globals,*/\n 0 /*PyObject *locals*/\n );\n if (!py_frame) goto bad;\n __Pyx_PyFrame_SetLineNumber(py_frame, py_line);\n PyTraceBack_Here(py_frame);\nbad:\n Py_XDECREF(py_code);\n Py_XDECREF(py_frame);\n}\n\n/* CIntFromPyVerify */\n#define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\\\n __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0)\n#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\\\n __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1)\n#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\\\n {\\\n func_type value = func_value;\\\n if (sizeof(target_type) < sizeof(func_type)) {\\\n if (unlikely(value != (func_type) (target_type) value)) {\\\n func_type zero = 0;\\\n if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\\\n return (target_type) -1;\\\n if (is_unsigned && unlikely(value < zero))\\\n goto raise_neg_overflow;\\\n else\\\n goto raise_overflow;\\\n }\\\n }\\\n return (target_type) value;\\\n }\n\n/* CIntToPy */\nstatic CYTHON_INLINE PyObject* __Pyx_PyInt_From_PY_LONG_LONG(PY_LONG_LONG value) {\n const PY_LONG_LONG neg_one = (PY_LONG_LONG) ((PY_LONG_LONG) 0 - (PY_LONG_LONG) 1), const_zero = (PY_LONG_LONG) 0;\n const int is_unsigned = neg_one > const_zero;\n if (is_unsigned) {\n if (sizeof(PY_LONG_LONG) < sizeof(long)) {\n return PyInt_FromLong((long) value);\n } else if (sizeof(PY_LONG_LONG) <= sizeof(unsigned long)) {\n return PyLong_FromUnsignedLong((unsigned long) value);\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(PY_LONG_LONG) <= sizeof(unsigned PY_LONG_LONG)) {\n return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);\n#endif\n }\n } else {\n if (sizeof(PY_LONG_LONG) <= sizeof(long)) {\n return PyInt_FromLong((long) value);\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(PY_LONG_LONG) <= sizeof(PY_LONG_LONG)) {\n return PyLong_FromLongLong((PY_LONG_LONG) value);\n#endif\n }\n }\n {\n int one = 1; int little = (int)*(unsigned char *)&one;\n unsigned char *bytes = (unsigned char *)&value;\n return _PyLong_FromByteArray(bytes, sizeof(PY_LONG_LONG),\n little, !is_unsigned);\n }\n}\n\n/* CIntToPy */\nstatic CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {\n const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;\n const int is_unsigned = neg_one > const_zero;\n if (is_unsigned) {\n if (sizeof(int) < sizeof(long)) {\n return PyInt_FromLong((long) value);\n } else if (sizeof(int) <= sizeof(unsigned long)) {\n return PyLong_FromUnsignedLong((unsigned long) value);\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {\n return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);\n#endif\n }\n } else {\n if (sizeof(int) <= sizeof(long)) {\n return PyInt_FromLong((long) value);\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {\n return PyLong_FromLongLong((PY_LONG_LONG) value);\n#endif\n }\n }\n {\n int one = 1; int little = (int)*(unsigned char *)&one;\n unsigned char *bytes = (unsigned char *)&value;\n return _PyLong_FromByteArray(bytes, sizeof(int),\n little, !is_unsigned);\n }\n}\n\n/* CIntFromPy */\nstatic CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {\n const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;\n const int is_unsigned = neg_one > const_zero;\n#if PY_MAJOR_VERSION < 3\n if (likely(PyInt_Check(x))) {\n if (sizeof(int) < sizeof(long)) {\n __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))\n } else {\n long val = PyInt_AS_LONG(x);\n if (is_unsigned && unlikely(val < 0)) {\n goto raise_neg_overflow;\n }\n return (int) val;\n }\n } else\n#endif\n if (likely(PyLong_Check(x))) {\n if (is_unsigned) {\n#if CYTHON_USE_PYLONG_INTERNALS\n const digit* digits = ((PyLongObject*)x)->ob_digit;\n switch (Py_SIZE(x)) {\n case 0: return (int) 0;\n case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])\n case 2:\n if (8 * sizeof(int) > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {\n return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));\n }\n }\n break;\n case 3:\n if (8 * sizeof(int) > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {\n return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));\n }\n }\n break;\n case 4:\n if (8 * sizeof(int) > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {\n return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));\n }\n }\n break;\n }\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON\n if (unlikely(Py_SIZE(x) < 0)) {\n goto raise_neg_overflow;\n }\n#else\n {\n int result = PyObject_RichCompareBool(x, Py_False, Py_LT);\n if (unlikely(result < 0))\n return (int) -1;\n if (unlikely(result == 1))\n goto raise_neg_overflow;\n }\n#endif\n if (sizeof(int) <= sizeof(unsigned long)) {\n __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {\n __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))\n#endif\n }\n } else {\n#if CYTHON_USE_PYLONG_INTERNALS\n const digit* digits = ((PyLongObject*)x)->ob_digit;\n switch (Py_SIZE(x)) {\n case 0: return (int) 0;\n case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0]))\n case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0])\n case -2:\n if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {\n return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n }\n }\n break;\n case 2:\n if (8 * sizeof(int) > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {\n return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n }\n }\n break;\n case -3:\n if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {\n return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n }\n }\n break;\n case 3:\n if (8 * sizeof(int) > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {\n return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n }\n }\n break;\n case -4:\n if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {\n return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n }\n }\n break;\n case 4:\n if (8 * sizeof(int) > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {\n return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n }\n }\n break;\n }\n#endif\n if (sizeof(int) <= sizeof(long)) {\n __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {\n __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))\n#endif\n }\n }\n {\n#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)\n PyErr_SetString(PyExc_RuntimeError,\n \"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers\");\n#else\n int val;\n PyObject *v = __Pyx_PyNumber_IntOrLong(x);\n #if PY_MAJOR_VERSION < 3\n if (likely(v) && !PyLong_Check(v)) {\n PyObject *tmp = v;\n v = PyNumber_Long(tmp);\n Py_DECREF(tmp);\n }\n #endif\n if (likely(v)) {\n int one = 1; int is_little = (int)*(unsigned char *)&one;\n unsigned char *bytes = (unsigned char *)&val;\n int ret = _PyLong_AsByteArray((PyLongObject *)v,\n bytes, sizeof(val),\n is_little, !is_unsigned);\n Py_DECREF(v);\n if (likely(!ret))\n return val;\n }\n#endif\n return (int) -1;\n }\n } else {\n int val;\n PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);\n if (!tmp) return (int) -1;\n val = __Pyx_PyInt_As_int(tmp);\n Py_DECREF(tmp);\n return val;\n }\nraise_overflow:\n PyErr_SetString(PyExc_OverflowError,\n \"value too large to convert to int\");\n return (int) -1;\nraise_neg_overflow:\n PyErr_SetString(PyExc_OverflowError,\n \"can't convert negative value to int\");\n return (int) -1;\n}\n\n/* CIntToPy */\nstatic CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {\n const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;\n const int is_unsigned = neg_one > const_zero;\n if (is_unsigned) {\n if (sizeof(long) < sizeof(long)) {\n return PyInt_FromLong((long) value);\n } else if (sizeof(long) <= sizeof(unsigned long)) {\n return PyLong_FromUnsignedLong((unsigned long) value);\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {\n return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);\n#endif\n }\n } else {\n if (sizeof(long) <= sizeof(long)) {\n return PyInt_FromLong((long) value);\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {\n return PyLong_FromLongLong((PY_LONG_LONG) value);\n#endif\n }\n }\n {\n int one = 1; int little = (int)*(unsigned char *)&one;\n unsigned char *bytes = (unsigned char *)&value;\n return _PyLong_FromByteArray(bytes, sizeof(long),\n little, !is_unsigned);\n }\n}\n\n/* CIntFromPy */\nstatic CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {\n const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;\n const int is_unsigned = neg_one > const_zero;\n#if PY_MAJOR_VERSION < 3\n if (likely(PyInt_Check(x))) {\n if (sizeof(long) < sizeof(long)) {\n __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))\n } else {\n long val = PyInt_AS_LONG(x);\n if (is_unsigned && unlikely(val < 0)) {\n goto raise_neg_overflow;\n }\n return (long) val;\n }\n } else\n#endif\n if (likely(PyLong_Check(x))) {\n if (is_unsigned) {\n#if CYTHON_USE_PYLONG_INTERNALS\n const digit* digits = ((PyLongObject*)x)->ob_digit;\n switch (Py_SIZE(x)) {\n case 0: return (long) 0;\n case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])\n case 2:\n if (8 * sizeof(long) > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {\n return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));\n }\n }\n break;\n case 3:\n if (8 * sizeof(long) > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {\n return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));\n }\n }\n break;\n case 4:\n if (8 * sizeof(long) > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {\n return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));\n }\n }\n break;\n }\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON\n if (unlikely(Py_SIZE(x) < 0)) {\n goto raise_neg_overflow;\n }\n#else\n {\n int result = PyObject_RichCompareBool(x, Py_False, Py_LT);\n if (unlikely(result < 0))\n return (long) -1;\n if (unlikely(result == 1))\n goto raise_neg_overflow;\n }\n#endif\n if (sizeof(long) <= sizeof(unsigned long)) {\n __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {\n __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))\n#endif\n }\n } else {\n#if CYTHON_USE_PYLONG_INTERNALS\n const digit* digits = ((PyLongObject*)x)->ob_digit;\n switch (Py_SIZE(x)) {\n case 0: return (long) 0;\n case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0]))\n case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0])\n case -2:\n if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {\n return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n }\n }\n break;\n case 2:\n if (8 * sizeof(long) > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {\n return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n }\n }\n break;\n case -3:\n if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {\n return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n }\n }\n break;\n case 3:\n if (8 * sizeof(long) > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {\n return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n }\n }\n break;\n case -4:\n if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {\n return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n }\n }\n break;\n case 4:\n if (8 * sizeof(long) > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {\n return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n }\n }\n break;\n }\n#endif\n if (sizeof(long) <= sizeof(long)) {\n __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {\n __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))\n#endif\n }\n }\n {\n#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)\n PyErr_SetString(PyExc_RuntimeError,\n \"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers\");\n#else\n long val;\n PyObject *v = __Pyx_PyNumber_IntOrLong(x);\n #if PY_MAJOR_VERSION < 3\n if (likely(v) && !PyLong_Check(v)) {\n PyObject *tmp = v;\n v = PyNumber_Long(tmp);\n Py_DECREF(tmp);\n }\n #endif\n if (likely(v)) {\n int one = 1; int is_little = (int)*(unsigned char *)&one;\n unsigned char *bytes = (unsigned char *)&val;\n int ret = _PyLong_AsByteArray((PyLongObject *)v,\n bytes, sizeof(val),\n is_little, !is_unsigned);\n Py_DECREF(v);\n if (likely(!ret))\n return val;\n }\n#endif\n return (long) -1;\n }\n } else {\n long val;\n PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);\n if (!tmp) return (long) -1;\n val = __Pyx_PyInt_As_long(tmp);\n Py_DECREF(tmp);\n return val;\n }\nraise_overflow:\n PyErr_SetString(PyExc_OverflowError,\n \"value too large to convert to long\");\n return (long) -1;\nraise_neg_overflow:\n PyErr_SetString(PyExc_OverflowError,\n \"can't convert negative value to long\");\n return (long) -1;\n}\n\n/* FastTypeChecks */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {\n while (a) {\n a = a->tp_base;\n if (a == b)\n return 1;\n }\n return b == &PyBaseObject_Type;\n}\nstatic CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {\n PyObject *mro;\n if (a == b) return 1;\n mro = a->tp_mro;\n if (likely(mro)) {\n Py_ssize_t i, n;\n n = PyTuple_GET_SIZE(mro);\n for (i = 0; i < n; i++) {\n if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)\n return 1;\n }\n return 0;\n }\n return __Pyx_InBases(a, b);\n}\n#if PY_MAJOR_VERSION == 2\nstatic int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {\n PyObject *exception, *value, *tb;\n int res;\n __Pyx_PyThreadState_declare\n __Pyx_PyThreadState_assign\n __Pyx_ErrFetch(&exception, &value, &tb);\n res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;\n if (unlikely(res == -1)) {\n PyErr_WriteUnraisable(err);\n res = 0;\n }\n if (!res) {\n res = PyObject_IsSubclass(err, exc_type2);\n if (unlikely(res == -1)) {\n PyErr_WriteUnraisable(err);\n res = 0;\n }\n }\n __Pyx_ErrRestore(exception, value, tb);\n return res;\n}\n#else\nstatic CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {\n int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;\n if (!res) {\n res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);\n }\n return res;\n}\n#endif\nstatic int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {\n Py_ssize_t i, n;\n assert(PyExceptionClass_Check(exc_type));\n n = PyTuple_GET_SIZE(tuple);\n#if PY_MAJOR_VERSION >= 3\n for (i=0; ip) {\n #if PY_MAJOR_VERSION < 3\n if (t->is_unicode) {\n *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);\n } else if (t->intern) {\n *t->p = PyString_InternFromString(t->s);\n } else {\n *t->p = PyString_FromStringAndSize(t->s, t->n - 1);\n }\n #else\n if (t->is_unicode | t->is_str) {\n if (t->intern) {\n *t->p = PyUnicode_InternFromString(t->s);\n } else if (t->encoding) {\n *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);\n } else {\n *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);\n }\n } else {\n *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);\n }\n #endif\n if (!*t->p)\n return -1;\n if (PyObject_Hash(*t->p) == -1)\n return -1;\n ++t;\n }\n return 0;\n}\n\nstatic CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {\n return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str));\n}\nstatic CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) {\n Py_ssize_t ignore;\n return __Pyx_PyObject_AsStringAndSize(o, &ignore);\n}\n#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT\n#if !CYTHON_PEP393_ENABLED\nstatic const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {\n char* defenc_c;\n PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL);\n if (!defenc) return NULL;\n defenc_c = PyBytes_AS_STRING(defenc);\n#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII\n {\n char* end = defenc_c + PyBytes_GET_SIZE(defenc);\n char* c;\n for (c = defenc_c; c < end; c++) {\n if ((unsigned char) (*c) >= 128) {\n PyUnicode_AsASCIIString(o);\n return NULL;\n }\n }\n }\n#endif\n *length = PyBytes_GET_SIZE(defenc);\n return defenc_c;\n}\n#else\nstatic CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {\n if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL;\n#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII\n if (likely(PyUnicode_IS_ASCII(o))) {\n *length = PyUnicode_GET_LENGTH(o);\n return PyUnicode_AsUTF8(o);\n } else {\n PyUnicode_AsASCIIString(o);\n return NULL;\n }\n#else\n return PyUnicode_AsUTF8AndSize(o, length);\n#endif\n}\n#endif\n#endif\nstatic CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {\n#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT\n if (\n#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII\n __Pyx_sys_getdefaultencoding_not_ascii &&\n#endif\n PyUnicode_Check(o)) {\n return __Pyx_PyUnicode_AsStringAndSize(o, length);\n } else\n#endif\n#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))\n if (PyByteArray_Check(o)) {\n *length = PyByteArray_GET_SIZE(o);\n return PyByteArray_AS_STRING(o);\n } else\n#endif\n {\n char* result;\n int r = PyBytes_AsStringAndSize(o, &result, length);\n if (unlikely(r < 0)) {\n return NULL;\n } else {\n return result;\n }\n }\n}\nstatic CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {\n int is_true = x == Py_True;\n if (is_true | (x == Py_False) | (x == Py_None)) return is_true;\n else return PyObject_IsTrue(x);\n}\nstatic CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) {\n int retval;\n if (unlikely(!x)) return -1;\n retval = __Pyx_PyObject_IsTrue(x);\n Py_DECREF(x);\n return retval;\n}\nstatic PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) {\n#if PY_MAJOR_VERSION >= 3\n if (PyLong_Check(result)) {\n if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1,\n \"__int__ returned non-int (type %.200s). \"\n \"The ability to return an instance of a strict subclass of int \"\n \"is deprecated, and may be removed in a future version of Python.\",\n Py_TYPE(result)->tp_name)) {\n Py_DECREF(result);\n return NULL;\n }\n return result;\n }\n#endif\n PyErr_Format(PyExc_TypeError,\n \"__%.4s__ returned non-%.4s (type %.200s)\",\n type_name, type_name, Py_TYPE(result)->tp_name);\n Py_DECREF(result);\n return NULL;\n}\nstatic CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {\n#if CYTHON_USE_TYPE_SLOTS\n PyNumberMethods *m;\n#endif\n const char *name = NULL;\n PyObject *res = NULL;\n#if PY_MAJOR_VERSION < 3\n if (likely(PyInt_Check(x) || PyLong_Check(x)))\n#else\n if (likely(PyLong_Check(x)))\n#endif\n return __Pyx_NewRef(x);\n#if CYTHON_USE_TYPE_SLOTS\n m = Py_TYPE(x)->tp_as_number;\n #if PY_MAJOR_VERSION < 3\n if (m && m->nb_int) {\n name = \"int\";\n res = m->nb_int(x);\n }\n else if (m && m->nb_long) {\n name = \"long\";\n res = m->nb_long(x);\n }\n #else\n if (likely(m && m->nb_int)) {\n name = \"int\";\n res = m->nb_int(x);\n }\n #endif\n#else\n if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) {\n res = PyNumber_Int(x);\n }\n#endif\n if (likely(res)) {\n#if PY_MAJOR_VERSION < 3\n if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) {\n#else\n if (unlikely(!PyLong_CheckExact(res))) {\n#endif\n return __Pyx_PyNumber_IntOrLongWrongResultType(res, name);\n }\n }\n else if (!PyErr_Occurred()) {\n PyErr_SetString(PyExc_TypeError,\n \"an integer is required\");\n }\n return res;\n}\nstatic CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {\n Py_ssize_t ival;\n PyObject *x;\n#if PY_MAJOR_VERSION < 3\n if (likely(PyInt_CheckExact(b))) {\n if (sizeof(Py_ssize_t) >= sizeof(long))\n return PyInt_AS_LONG(b);\n else\n return PyInt_AsSsize_t(b);\n }\n#endif\n if (likely(PyLong_CheckExact(b))) {\n #if CYTHON_USE_PYLONG_INTERNALS\n const digit* digits = ((PyLongObject*)b)->ob_digit;\n const Py_ssize_t size = Py_SIZE(b);\n if (likely(__Pyx_sst_abs(size) <= 1)) {\n ival = likely(size) ? digits[0] : 0;\n if (size == -1) ival = -ival;\n return ival;\n } else {\n switch (size) {\n case 2:\n if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {\n return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));\n }\n break;\n case -2:\n if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {\n return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));\n }\n break;\n case 3:\n if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {\n return 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+001: # -*- coding: utf-8 -*-
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 002: """
\n
 003: data_mining.pyx
\n
 004: ~~~~~~~~~~~~~~~
\n
 005: This module is a cython pyx file that is used to mine text efficiently
\n
 006: from the various support file formats.
\n
 007: """
\n
 008: # -- python imports
\n
+009: import os
\n
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+010: import sys
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+011: import time
\n
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 012:
\n
 013: from cython import boundscheck, wraparound
\n
 014: from libc.stdlib cimport atoll, atof
\n
+015: from datetime import datetime, date
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  __pyx_t_1 = PyList_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 15, __pyx_L1_error)\n  __Pyx_GOTREF(__pyx_t_1);\n  __Pyx_INCREF(__pyx_n_s_datetime);\n  __Pyx_GIVEREF(__pyx_n_s_datetime);\n  PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_datetime);\n  __Pyx_INCREF(__pyx_n_s_date);\n  __Pyx_GIVEREF(__pyx_n_s_date);\n  PyList_SET_ITEM(__pyx_t_1, 1, __pyx_n_s_date);\n  __pyx_t_2 = __Pyx_Import(__pyx_n_s_datetime, __pyx_t_1, -1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 15, __pyx_L1_error)\n  __Pyx_GOTREF(__pyx_t_2);\n  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;\n  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_datetime); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 15, __pyx_L1_error)\n  __Pyx_GOTREF(__pyx_t_1);\n  if (PyDict_SetItem(__pyx_d, __pyx_n_s_datetime, __pyx_t_1) < 0) __PYX_ERR(0, 15, __pyx_L1_error)\n  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;\n  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_date); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 15, __pyx_L1_error)\n  __Pyx_GOTREF(__pyx_t_1);\n  if (PyDict_SetItem(__pyx_d, __pyx_n_s_date, __pyx_t_1) < 0) __PYX_ERR(0, 15, __pyx_L1_error)\n  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;\n  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;\n
+016: from re import compile as _compile
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 017:
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 018: @boundscheck(False)
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 019: @wraparound(False)
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+020: cpdef long long str2int(char *string):
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static PyObject *__pyx_pw_2io_1str2int(PyObject *__pyx_self, PyObject *__pyx_arg_string); /*proto*/\nstatic PY_LONG_LONG __pyx_f_2io_str2int(char *__pyx_v_string, CYTHON_UNUSED int __pyx_skip_dispatch) {\n  PY_LONG_LONG __pyx_r;\n  __Pyx_RefNannyDeclarations\n  __Pyx_RefNannySetupContext(\"str2int\", 0);\n/* … */\n  /* function exit code */\n  __pyx_L0:;\n  __Pyx_RefNannyFinishContext();\n  return __pyx_r;\n}\n\n/* Python wrapper */\nstatic PyObject *__pyx_pw_2io_1str2int(PyObject *__pyx_self, PyObject *__pyx_arg_string); /*proto*/\nstatic PyObject *__pyx_pw_2io_1str2int(PyObject *__pyx_self, PyObject *__pyx_arg_string) {\n  char *__pyx_v_string;\n  PyObject *__pyx_r = 0;\n  __Pyx_RefNannyDeclarations\n  __Pyx_RefNannySetupContext(\"str2int (wrapper)\", 0);\n  assert(__pyx_arg_string); {\n    __pyx_v_string = __Pyx_PyObject_AsWritableString(__pyx_arg_string); if (unlikely((!__pyx_v_string) && PyErr_Occurred())) __PYX_ERR(0, 20, __pyx_L3_error)\n  }\n  goto __pyx_L4_argument_unpacking_done;\n  __pyx_L3_error:;\n  __Pyx_AddTraceback(\"io.str2int\", __pyx_clineno, __pyx_lineno, __pyx_filename);\n  __Pyx_RefNannyFinishContext();\n  return NULL;\n  __pyx_L4_argument_unpacking_done:;\n  __pyx_r = __pyx_pf_2io_str2int(__pyx_self, ((char *)__pyx_v_string));\n\n  /* function exit code */\n  __Pyx_RefNannyFinishContext();\n  return __pyx_r;\n}\n\nstatic PyObject *__pyx_pf_2io_str2int(CYTHON_UNUSED PyObject *__pyx_self, char *__pyx_v_string) {\n  PyObject *__pyx_r = NULL;\n  __Pyx_RefNannyDeclarations\n  __Pyx_RefNannySetupContext(\"str2int\", 0);\n  __Pyx_XDECREF(__pyx_r);\n  __pyx_t_1 = __Pyx_PyInt_From_PY_LONG_LONG(__pyx_f_2io_str2int(__pyx_v_string, 0)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 20, __pyx_L1_error)\n  __Pyx_GOTREF(__pyx_t_1);\n  __pyx_r = __pyx_t_1;\n  __pyx_t_1 = 0;\n  goto __pyx_L0;\n\n  /* function exit code */\n  __pyx_L1_error:;\n  __Pyx_XDECREF(__pyx_t_1);\n  __Pyx_AddTraceback(\"io.str2int\", __pyx_clineno, __pyx_lineno, __pyx_filename);\n  __pyx_r = NULL;\n  __pyx_L0:;\n  __Pyx_XGIVEREF(__pyx_r);\n  __Pyx_RefNannyFinishContext();\n  return __pyx_r;\n}\n
+021:     return atoll(string)
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 023: @boundscheck(False)
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 024: @wraparound(False)
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+025: cpdef double str2float(char *string):
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\n
 098: # -- cython c imports
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 100: from libc.stdlib cimport atoll, atof
\n
 101: from libc.stdio cimport fopen, fclose, FILE
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 102: from libc.stdio cimport fgets
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 103: from libc.string cimport strtok, strsep
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 104: from cython.parallel import prange, parallel, threadid
\n
 105:
\n
 106: # preprocessor directive
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 107: DEF BUFFER_SIZE = 4096
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 108: cdef FILE *fp
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 109: cdef char buff[BUFFER_SIZE]
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 110:
\n
 111: cdef list column_dtype, data
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 112:
\n
 113: @boundscheck(False)
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+150:     return data
\n
  __Pyx_XDECREF(__pyx_r);\n  __Pyx_INCREF(__pyx_v_data);\n  __pyx_r = __pyx_v_data;\n  goto __pyx_L0;\n
\n" }, { "path": "clib/io.pyx", "content": "# -*- coding: utf-8 -*-\n\"\"\"\ndata_mining.pyx\n~~~~~~~~~~~~~~~\nThis module is a cython pyx file that is used to mine text efficiently\nfrom the various support file formats.\n\"\"\"\n# -- python imports\nimport os\nimport sys\nimport time\n\nfrom cython import boundscheck, wraparound\nfrom libc.stdlib cimport atoll, atof\nfrom datetime import datetime, date\nfrom re import compile as _compile\n\n@boundscheck(False)\n@wraparound(False)\ncpdef long long str2int(char *string):\n return atoll(string)\n\n@boundscheck(False)\n@wraparound(False)\ncpdef double str2float(char *string):\n return atof(string)\n\n@boundscheck(False)\n@wraparound(False)\ncpdef double str2pct(char *string):\n return atof(string[:-1]) / 100.0\n\ncdef dict BOOL_SYMBOL = {u'TRUE'.encode('utf-8'): True, u'FALSE'.encode('utf-8'): False,\n u'是'.encode('utf-8'): True, u'否'.encode('utf-8'): False,\n u'True'.encode('utf-8'): True, u'False'.encode('utf-8'): False,}\n@boundscheck(False)\n@wraparound(False)\ncpdef bint str2bool(char *string):\n return BOOL_SYMBOL[string]\n\ncdef char *year\ncdef char *month\ncdef char *day\ncdef char *dsep1 = '-'\ncdef char *dsep2 = '/'\n@boundscheck(False)\n@wraparound(False)\ncdef object str2date(char *string):\n year = strtok(string, dsep2)\n month = strtok(NULL, dsep2)\n day = strtok(NULL, dsep2)\n return date(atoll(year), atoll(month), atoll(day))\n\ncdef char *hour\ncdef char *minu\ncdef char *sec\ncdef char *tsep = ':'\n@boundscheck(False)\n@wraparound(False)\ncdef object str2datetime(char *string):\n date = strtok(string, ' ')\n time = strtok(NULL, ' ')\n year = strtok(date, dsep2)\n month = strtok(NULL, dsep2)\n day = strtok(NULL, dsep2)\n hour = strtok(time, tsep)\n minu = strtok(NULL, tsep)\n sec = strtok(NULL, tsep)\n return datetime(atoll(year), atoll(month), atoll(day),\n atoll(hour), atoll(minu), atoll(sec))\n\nFLOAT_MASK = _compile('^[-+]?[0-9]\\d*\\.\\d*$|[-+]?\\.?[0-9]\\d*$'.encode('utf-8'))\nPERCENT_MASK = _compile(r'^[-+]?[0-9]\\d*\\.\\d*%$|[-+]?\\.?[0-9]\\d*%$'.encode('utf-8'))\nINT_MASK = _compile('^[-+]?[-0-9]\\d*$'.encode('utf-8'))\nDATE_MASK = _compile('^(?:(?!0000)[0-9]{4}([-/.]?)(?:(?:0?[1-9]|1[0-2])([-/.]?)(?:0?[1-9]|1[0-9]|2[0-8])|(?:0?[13-9]|1[0-2])([-/.]?)(?:29|30)|(?:0?[13578]|1[02])([-/.]?)31)|(?:[0-9]{2}(?:0[48]|[2468][048]|[13579][26])|(?:0[48]|[2468][048]|[13579][26])00)([-/.]?)0?2([-/.]?)29)$'.encode('utf-8'))\nBOOL_MASK = _compile('^(true)|(false)|(yes)|(no)|(\\u662f)|(\\u5426)|(on)|(off)$'.encode('utf-8'))\n@boundscheck(False)\n@wraparound(False)\ncdef object analyze_str_type(char *string):\n if INT_MASK.match(string):\n return atoll \n\n elif FLOAT_MASK.match(string):\n return atof\n\n elif PERCENT_MASK.match(string):\n return str2pct\n\n elif DATE_MASK.match(string):\n return str2date\n\n elif BOOL_MASK.match(string.lower()):\n return BOOL_SYMBOL.__getitem__\n\n else:\n return str\n\n# -- cython c imports\nfrom libc.stdlib cimport malloc, realloc, free\nfrom libc.stdlib cimport atoll, atof\nfrom libc.stdio cimport fopen, fclose, FILE\nfrom libc.stdio cimport fgets\nfrom libc.string cimport strtok, strsep\nfrom cython.parallel import prange, parallel, threadid\n\n# preprocessor directive\nDEF BUFFER_SIZE = 4096\ncdef FILE *fp\ncdef char buff[BUFFER_SIZE]\n\ncdef list column_dtype, data\n\n@boundscheck(False)\n@wraparound(False)\ncpdef list read_csv(char *addr, const char *sep=',', int skip_rows=1, char *nan=''):\n \"\"\"Read the file contents.\"\"\"\n fp = fopen(addr, \"r\")\n if fp == NULL:\n raise FileNotFoundError(2, \"No such file: '%s'\" % addr)\n \n column_dtype = []\n data = []\n cdef double NaN = float('nan')\n cdef char *row\n cdef int index, max_col\n cdef char *val\n max_col = 0\n while fgets(buff, BUFFER_SIZE, fp) != NULL:\n if skip_rows > 0:\n skip_rows -= 1\n continue\n\n row = strtok(buff, '\\n')\n index = 0\n val = strtok(row, sep)\n while val != NULL:\n if index == max_col:\n column_dtype.append(analyze_str_type(val))\n data.append([])\n max_col += 1\n if nan == val:\n data[index].append(NaN)\n else:\n data[index].append(column_dtype[index](val))\n\n # move to next value\n val = strtok(NULL, sep)\n index += 1\n fclose(fp) \n return data" }, { "path": "clib/math.c", "content": "/* Generated by Cython 0.29.6 */\n\n#define PY_SSIZE_T_CLEAN\n#include \"Python.h\"\n#ifndef Py_PYTHON_H\n #error Python headers needed to compile C extensions, please install development version of Python.\n#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000)\n #error Cython requires Python 2.6+ or Python 3.3+.\n#else\n#define CYTHON_ABI \"0_29_6\"\n#define CYTHON_HEX_VERSION 0x001D06F0\n#define CYTHON_FUTURE_DIVISION 0\n#include \n#ifndef offsetof\n #define offsetof(type, member) ( (size_t) & ((type*)0) -> member )\n#endif\n#if !defined(WIN32) && !defined(MS_WINDOWS)\n #ifndef __stdcall\n #define __stdcall\n #endif\n #ifndef __cdecl\n #define __cdecl\n #endif\n #ifndef __fastcall\n #define __fastcall\n #endif\n#endif\n#ifndef DL_IMPORT\n #define DL_IMPORT(t) t\n#endif\n#ifndef DL_EXPORT\n #define DL_EXPORT(t) t\n#endif\n#define __PYX_COMMA ,\n#ifndef HAVE_LONG_LONG\n #if PY_VERSION_HEX >= 0x02070000\n #define HAVE_LONG_LONG\n #endif\n#endif\n#ifndef PY_LONG_LONG\n #define PY_LONG_LONG LONG_LONG\n#endif\n#ifndef Py_HUGE_VAL\n #define Py_HUGE_VAL HUGE_VAL\n#endif\n#ifdef PYPY_VERSION\n #define CYTHON_COMPILING_IN_PYPY 1\n #define CYTHON_COMPILING_IN_PYSTON 0\n #define CYTHON_COMPILING_IN_CPYTHON 0\n #undef CYTHON_USE_TYPE_SLOTS\n #define CYTHON_USE_TYPE_SLOTS 0\n #undef CYTHON_USE_PYTYPE_LOOKUP\n #define CYTHON_USE_PYTYPE_LOOKUP 0\n #if PY_VERSION_HEX < 0x03050000\n #undef CYTHON_USE_ASYNC_SLOTS\n #define CYTHON_USE_ASYNC_SLOTS 0\n #elif !defined(CYTHON_USE_ASYNC_SLOTS)\n #define CYTHON_USE_ASYNC_SLOTS 1\n #endif\n #undef CYTHON_USE_PYLIST_INTERNALS\n #define CYTHON_USE_PYLIST_INTERNALS 0\n #undef CYTHON_USE_UNICODE_INTERNALS\n #define CYTHON_USE_UNICODE_INTERNALS 0\n #undef CYTHON_USE_UNICODE_WRITER\n #define CYTHON_USE_UNICODE_WRITER 0\n #undef CYTHON_USE_PYLONG_INTERNALS\n #define CYTHON_USE_PYLONG_INTERNALS 0\n #undef CYTHON_AVOID_BORROWED_REFS\n #define CYTHON_AVOID_BORROWED_REFS 1\n #undef CYTHON_ASSUME_SAFE_MACROS\n #define CYTHON_ASSUME_SAFE_MACROS 0\n #undef CYTHON_UNPACK_METHODS\n #define CYTHON_UNPACK_METHODS 0\n #undef CYTHON_FAST_THREAD_STATE\n #define CYTHON_FAST_THREAD_STATE 0\n #undef CYTHON_FAST_PYCALL\n #define CYTHON_FAST_PYCALL 0\n #undef CYTHON_PEP489_MULTI_PHASE_INIT\n #define CYTHON_PEP489_MULTI_PHASE_INIT 0\n #undef CYTHON_USE_TP_FINALIZE\n #define CYTHON_USE_TP_FINALIZE 0\n #undef CYTHON_USE_DICT_VERSIONS\n #define CYTHON_USE_DICT_VERSIONS 0\n #undef CYTHON_USE_EXC_INFO_STACK\n #define CYTHON_USE_EXC_INFO_STACK 0\n#elif defined(PYSTON_VERSION)\n #define CYTHON_COMPILING_IN_PYPY 0\n #define CYTHON_COMPILING_IN_PYSTON 1\n #define CYTHON_COMPILING_IN_CPYTHON 0\n #ifndef CYTHON_USE_TYPE_SLOTS\n #define CYTHON_USE_TYPE_SLOTS 1\n #endif\n #undef CYTHON_USE_PYTYPE_LOOKUP\n #define CYTHON_USE_PYTYPE_LOOKUP 0\n #undef CYTHON_USE_ASYNC_SLOTS\n #define CYTHON_USE_ASYNC_SLOTS 0\n #undef CYTHON_USE_PYLIST_INTERNALS\n #define CYTHON_USE_PYLIST_INTERNALS 0\n #ifndef CYTHON_USE_UNICODE_INTERNALS\n #define CYTHON_USE_UNICODE_INTERNALS 1\n #endif\n #undef CYTHON_USE_UNICODE_WRITER\n #define CYTHON_USE_UNICODE_WRITER 0\n #undef CYTHON_USE_PYLONG_INTERNALS\n #define CYTHON_USE_PYLONG_INTERNALS 0\n #ifndef CYTHON_AVOID_BORROWED_REFS\n #define CYTHON_AVOID_BORROWED_REFS 0\n #endif\n #ifndef CYTHON_ASSUME_SAFE_MACROS\n #define CYTHON_ASSUME_SAFE_MACROS 1\n #endif\n #ifndef CYTHON_UNPACK_METHODS\n #define CYTHON_UNPACK_METHODS 1\n #endif\n #undef CYTHON_FAST_THREAD_STATE\n #define CYTHON_FAST_THREAD_STATE 0\n #undef CYTHON_FAST_PYCALL\n #define CYTHON_FAST_PYCALL 0\n #undef CYTHON_PEP489_MULTI_PHASE_INIT\n #define CYTHON_PEP489_MULTI_PHASE_INIT 0\n #undef CYTHON_USE_TP_FINALIZE\n #define CYTHON_USE_TP_FINALIZE 0\n #undef CYTHON_USE_DICT_VERSIONS\n #define CYTHON_USE_DICT_VERSIONS 0\n #undef CYTHON_USE_EXC_INFO_STACK\n #define CYTHON_USE_EXC_INFO_STACK 0\n#else\n #define CYTHON_COMPILING_IN_PYPY 0\n #define CYTHON_COMPILING_IN_PYSTON 0\n #define CYTHON_COMPILING_IN_CPYTHON 1\n #ifndef CYTHON_USE_TYPE_SLOTS\n #define CYTHON_USE_TYPE_SLOTS 1\n #endif\n #if PY_VERSION_HEX < 0x02070000\n #undef CYTHON_USE_PYTYPE_LOOKUP\n #define CYTHON_USE_PYTYPE_LOOKUP 0\n #elif !defined(CYTHON_USE_PYTYPE_LOOKUP)\n #define CYTHON_USE_PYTYPE_LOOKUP 1\n #endif\n #if PY_MAJOR_VERSION < 3\n #undef CYTHON_USE_ASYNC_SLOTS\n #define CYTHON_USE_ASYNC_SLOTS 0\n #elif !defined(CYTHON_USE_ASYNC_SLOTS)\n #define CYTHON_USE_ASYNC_SLOTS 1\n #endif\n #if PY_VERSION_HEX < 0x02070000\n #undef CYTHON_USE_PYLONG_INTERNALS\n #define CYTHON_USE_PYLONG_INTERNALS 0\n #elif !defined(CYTHON_USE_PYLONG_INTERNALS)\n #define CYTHON_USE_PYLONG_INTERNALS 1\n #endif\n #ifndef CYTHON_USE_PYLIST_INTERNALS\n #define CYTHON_USE_PYLIST_INTERNALS 1\n #endif\n #ifndef CYTHON_USE_UNICODE_INTERNALS\n #define CYTHON_USE_UNICODE_INTERNALS 1\n #endif\n #if PY_VERSION_HEX < 0x030300F0\n #undef CYTHON_USE_UNICODE_WRITER\n #define CYTHON_USE_UNICODE_WRITER 0\n #elif !defined(CYTHON_USE_UNICODE_WRITER)\n #define CYTHON_USE_UNICODE_WRITER 1\n #endif\n #ifndef CYTHON_AVOID_BORROWED_REFS\n #define CYTHON_AVOID_BORROWED_REFS 0\n #endif\n #ifndef CYTHON_ASSUME_SAFE_MACROS\n #define CYTHON_ASSUME_SAFE_MACROS 1\n #endif\n #ifndef CYTHON_UNPACK_METHODS\n #define CYTHON_UNPACK_METHODS 1\n #endif\n #ifndef CYTHON_FAST_THREAD_STATE\n #define CYTHON_FAST_THREAD_STATE 1\n #endif\n #ifndef CYTHON_FAST_PYCALL\n #define CYTHON_FAST_PYCALL 1\n #endif\n #ifndef CYTHON_PEP489_MULTI_PHASE_INIT\n #define CYTHON_PEP489_MULTI_PHASE_INIT (PY_VERSION_HEX >= 0x03050000)\n #endif\n #ifndef CYTHON_USE_TP_FINALIZE\n #define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1)\n #endif\n #ifndef CYTHON_USE_DICT_VERSIONS\n #define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX >= 0x030600B1)\n #endif\n #ifndef CYTHON_USE_EXC_INFO_STACK\n #define CYTHON_USE_EXC_INFO_STACK (PY_VERSION_HEX >= 0x030700A3)\n #endif\n#endif\n#if !defined(CYTHON_FAST_PYCCALL)\n#define CYTHON_FAST_PYCCALL (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1)\n#endif\n#if CYTHON_USE_PYLONG_INTERNALS\n #include \"longintrepr.h\"\n #undef SHIFT\n #undef BASE\n #undef MASK\n #ifdef SIZEOF_VOID_P\n enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) };\n #endif\n#endif\n#ifndef __has_attribute\n #define __has_attribute(x) 0\n#endif\n#ifndef __has_cpp_attribute\n #define __has_cpp_attribute(x) 0\n#endif\n#ifndef CYTHON_RESTRICT\n #if defined(__GNUC__)\n #define CYTHON_RESTRICT __restrict__\n #elif defined(_MSC_VER) && _MSC_VER >= 1400\n #define CYTHON_RESTRICT __restrict\n #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L\n #define CYTHON_RESTRICT restrict\n #else\n #define CYTHON_RESTRICT\n #endif\n#endif\n#ifndef CYTHON_UNUSED\n# if defined(__GNUC__)\n# if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4))\n# define CYTHON_UNUSED __attribute__ ((__unused__))\n# else\n# define CYTHON_UNUSED\n# endif\n# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER))\n# define CYTHON_UNUSED __attribute__ ((__unused__))\n# else\n# define CYTHON_UNUSED\n# endif\n#endif\n#ifndef CYTHON_MAYBE_UNUSED_VAR\n# if defined(__cplusplus)\n template void CYTHON_MAYBE_UNUSED_VAR( const T& ) { }\n# else\n# define CYTHON_MAYBE_UNUSED_VAR(x) (void)(x)\n# endif\n#endif\n#ifndef CYTHON_NCP_UNUSED\n# if CYTHON_COMPILING_IN_CPYTHON\n# define CYTHON_NCP_UNUSED\n# else\n# define CYTHON_NCP_UNUSED CYTHON_UNUSED\n# endif\n#endif\n#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None)\n#ifdef _MSC_VER\n #ifndef _MSC_STDINT_H_\n #if _MSC_VER < 1300\n typedef unsigned char uint8_t;\n typedef unsigned int uint32_t;\n #else\n typedef unsigned __int8 uint8_t;\n typedef unsigned __int32 uint32_t;\n #endif\n #endif\n#else\n #include \n#endif\n#ifndef CYTHON_FALLTHROUGH\n #if defined(__cplusplus) && __cplusplus >= 201103L\n #if __has_cpp_attribute(fallthrough)\n #define CYTHON_FALLTHROUGH [[fallthrough]]\n #elif __has_cpp_attribute(clang::fallthrough)\n #define CYTHON_FALLTHROUGH [[clang::fallthrough]]\n #elif __has_cpp_attribute(gnu::fallthrough)\n #define CYTHON_FALLTHROUGH [[gnu::fallthrough]]\n #endif\n #endif\n #ifndef CYTHON_FALLTHROUGH\n #if __has_attribute(fallthrough)\n #define CYTHON_FALLTHROUGH __attribute__((fallthrough))\n #else\n #define CYTHON_FALLTHROUGH\n #endif\n #endif\n #if defined(__clang__ ) && defined(__apple_build_version__)\n #if __apple_build_version__ < 7000000\n #undef CYTHON_FALLTHROUGH\n #define CYTHON_FALLTHROUGH\n #endif\n #endif\n#endif\n\n#ifndef CYTHON_INLINE\n #if defined(__clang__)\n #define CYTHON_INLINE __inline__ __attribute__ ((__unused__))\n #elif defined(__GNUC__)\n #define CYTHON_INLINE __inline__\n #elif defined(_MSC_VER)\n #define CYTHON_INLINE __inline\n #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L\n #define CYTHON_INLINE inline\n #else\n #define CYTHON_INLINE\n #endif\n#endif\n\n#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag)\n #define Py_OptimizeFlag 0\n#endif\n#define __PYX_BUILD_PY_SSIZE_T \"n\"\n#define CYTHON_FORMAT_SSIZE_T \"z\"\n#if PY_MAJOR_VERSION < 3\n #define __Pyx_BUILTIN_MODULE_NAME \"__builtin__\"\n #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\\\n PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\n #define __Pyx_DefaultClassType PyClass_Type\n#else\n #define __Pyx_BUILTIN_MODULE_NAME \"builtins\"\n #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\\\n PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\n #define __Pyx_DefaultClassType PyType_Type\n#endif\n#ifndef Py_TPFLAGS_CHECKTYPES\n #define Py_TPFLAGS_CHECKTYPES 0\n#endif\n#ifndef Py_TPFLAGS_HAVE_INDEX\n #define Py_TPFLAGS_HAVE_INDEX 0\n#endif\n#ifndef Py_TPFLAGS_HAVE_NEWBUFFER\n #define Py_TPFLAGS_HAVE_NEWBUFFER 0\n#endif\n#ifndef Py_TPFLAGS_HAVE_FINALIZE\n #define Py_TPFLAGS_HAVE_FINALIZE 0\n#endif\n#ifndef METH_STACKLESS\n #define METH_STACKLESS 0\n#endif\n#if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL)\n #ifndef METH_FASTCALL\n #define METH_FASTCALL 0x80\n #endif\n typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs);\n typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args,\n Py_ssize_t nargs, PyObject *kwnames);\n#else\n #define __Pyx_PyCFunctionFast _PyCFunctionFast\n #define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords\n#endif\n#if CYTHON_FAST_PYCCALL\n#define __Pyx_PyFastCFunction_Check(func)\\\n ((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)))))\n#else\n#define __Pyx_PyFastCFunction_Check(func) 0\n#endif\n#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc)\n #define PyObject_Malloc(s) PyMem_Malloc(s)\n #define PyObject_Free(p) PyMem_Free(p)\n #define PyObject_Realloc(p) PyMem_Realloc(p)\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030400A1\n #define PyMem_RawMalloc(n) PyMem_Malloc(n)\n #define PyMem_RawRealloc(p, n) PyMem_Realloc(p, n)\n #define PyMem_RawFree(p) PyMem_Free(p)\n#endif\n#if CYTHON_COMPILING_IN_PYSTON\n #define __Pyx_PyCode_HasFreeVars(co) PyCode_HasFreeVars(co)\n #define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno)\n#else\n #define __Pyx_PyCode_HasFreeVars(co) (PyCode_GetNumFree(co) > 0)\n #define __Pyx_PyFrame_SetLineNumber(frame, lineno) (frame)->f_lineno = (lineno)\n#endif\n#if !CYTHON_FAST_THREAD_STATE || PY_VERSION_HEX < 0x02070000\n #define __Pyx_PyThreadState_Current PyThreadState_GET()\n#elif PY_VERSION_HEX >= 0x03060000\n #define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet()\n#elif PY_VERSION_HEX >= 0x03000000\n #define __Pyx_PyThreadState_Current PyThreadState_GET()\n#else\n #define __Pyx_PyThreadState_Current _PyThreadState_Current\n#endif\n#if PY_VERSION_HEX < 0x030700A2 && !defined(PyThread_tss_create) && !defined(Py_tss_NEEDS_INIT)\n#include \"pythread.h\"\n#define Py_tss_NEEDS_INIT 0\ntypedef int Py_tss_t;\nstatic CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) {\n *key = PyThread_create_key();\n return 0;\n}\nstatic CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) {\n Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t));\n *key = Py_tss_NEEDS_INIT;\n return key;\n}\nstatic CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) {\n PyObject_Free(key);\n}\nstatic CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) {\n return *key != Py_tss_NEEDS_INIT;\n}\nstatic CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) {\n PyThread_delete_key(*key);\n *key = Py_tss_NEEDS_INIT;\n}\nstatic CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) {\n return PyThread_set_key_value(*key, value);\n}\nstatic CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) {\n return PyThread_get_key_value(*key);\n}\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized)\n#define __Pyx_PyDict_NewPresized(n) ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n))\n#else\n#define __Pyx_PyDict_NewPresized(n) PyDict_New()\n#endif\n#if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION\n #define __Pyx_PyNumber_Divide(x,y) PyNumber_TrueDivide(x,y)\n #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceTrueDivide(x,y)\n#else\n #define __Pyx_PyNumber_Divide(x,y) PyNumber_Divide(x,y)\n #define __Pyx_PyNumber_InPlaceDivide(x,y) PyNumber_InPlaceDivide(x,y)\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && CYTHON_USE_UNICODE_INTERNALS\n#define __Pyx_PyDict_GetItemStr(dict, name) _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash)\n#else\n#define __Pyx_PyDict_GetItemStr(dict, name) PyDict_GetItem(dict, name)\n#endif\n#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND)\n #define CYTHON_PEP393_ENABLED 1\n #define __Pyx_PyUnicode_READY(op) (likely(PyUnicode_IS_READY(op)) ?\\\n 0 : _PyUnicode_Ready((PyObject *)(op)))\n #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_LENGTH(u)\n #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i)\n #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) PyUnicode_MAX_CHAR_VALUE(u)\n #define __Pyx_PyUnicode_KIND(u) PyUnicode_KIND(u)\n #define __Pyx_PyUnicode_DATA(u) PyUnicode_DATA(u)\n #define __Pyx_PyUnicode_READ(k, d, i) PyUnicode_READ(k, d, i)\n #define __Pyx_PyUnicode_WRITE(k, d, i, ch) PyUnicode_WRITE(k, d, i, ch)\n #define __Pyx_PyUnicode_IS_TRUE(u) (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u)))\n#else\n #define CYTHON_PEP393_ENABLED 0\n #define PyUnicode_1BYTE_KIND 1\n #define PyUnicode_2BYTE_KIND 2\n #define PyUnicode_4BYTE_KIND 4\n #define __Pyx_PyUnicode_READY(op) (0)\n #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u)\n #define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i]))\n #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) ((sizeof(Py_UNICODE) == 2) ? 65535 : 1114111)\n #define __Pyx_PyUnicode_KIND(u) (sizeof(Py_UNICODE))\n #define __Pyx_PyUnicode_DATA(u) ((void*)PyUnicode_AS_UNICODE(u))\n #define __Pyx_PyUnicode_READ(k, d, i) ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i]))\n #define __Pyx_PyUnicode_WRITE(k, d, i, ch) (((void)(k)), ((Py_UNICODE*)d)[i] = ch)\n #define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_SIZE(u))\n#endif\n#if CYTHON_COMPILING_IN_PYPY\n #define __Pyx_PyUnicode_Concat(a, b) PyNumber_Add(a, b)\n #define __Pyx_PyUnicode_ConcatSafe(a, b) PyNumber_Add(a, b)\n#else\n #define __Pyx_PyUnicode_Concat(a, b) PyUnicode_Concat(a, b)\n #define __Pyx_PyUnicode_ConcatSafe(a, b) ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\\\n PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b))\n#endif\n#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains)\n #define PyUnicode_Contains(u, s) PySequence_Contains(u, s)\n#endif\n#if CYTHON_COMPILING_IN_PYPY && !defined(PyByteArray_Check)\n #define PyByteArray_Check(obj) PyObject_TypeCheck(obj, &PyByteArray_Type)\n#endif\n#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format)\n #define PyObject_Format(obj, fmt) PyObject_CallMethod(obj, \"__format__\", \"O\", fmt)\n#endif\n#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyString_Check(b) && !PyString_CheckExact(b)))) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b))\n#define __Pyx_PyUnicode_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b))\n#if PY_MAJOR_VERSION >= 3\n #define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b)\n#else\n #define __Pyx_PyString_Format(a, b) PyString_Format(a, b)\n#endif\n#if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII)\n #define PyObject_ASCII(o) PyObject_Repr(o)\n#endif\n#if PY_MAJOR_VERSION >= 3\n #define PyBaseString_Type PyUnicode_Type\n #define PyStringObject PyUnicodeObject\n #define PyString_Type PyUnicode_Type\n #define PyString_Check PyUnicode_Check\n #define PyString_CheckExact PyUnicode_CheckExact\n #define PyObject_Unicode PyObject_Str\n#endif\n#if PY_MAJOR_VERSION >= 3\n #define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)\n #define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)\n#else\n #define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj))\n #define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj))\n#endif\n#ifndef PySet_CheckExact\n #define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type)\n#endif\n#if CYTHON_ASSUME_SAFE_MACROS\n #define __Pyx_PySequence_SIZE(seq) Py_SIZE(seq)\n#else\n #define __Pyx_PySequence_SIZE(seq) PySequence_Size(seq)\n#endif\n#if PY_MAJOR_VERSION >= 3\n #define PyIntObject PyLongObject\n #define PyInt_Type PyLong_Type\n #define PyInt_Check(op) PyLong_Check(op)\n #define PyInt_CheckExact(op) PyLong_CheckExact(op)\n #define PyInt_FromString PyLong_FromString\n #define PyInt_FromUnicode PyLong_FromUnicode\n #define PyInt_FromLong PyLong_FromLong\n #define PyInt_FromSize_t PyLong_FromSize_t\n #define PyInt_FromSsize_t PyLong_FromSsize_t\n #define PyInt_AsLong PyLong_AsLong\n #define PyInt_AS_LONG PyLong_AS_LONG\n #define PyInt_AsSsize_t PyLong_AsSsize_t\n #define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask\n #define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask\n #define PyNumber_Int PyNumber_Long\n#endif\n#if PY_MAJOR_VERSION >= 3\n #define PyBoolObject PyLongObject\n#endif\n#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY\n #ifndef PyUnicode_InternFromString\n #define PyUnicode_InternFromString(s) PyUnicode_FromString(s)\n #endif\n#endif\n#if PY_VERSION_HEX < 0x030200A4\n typedef long Py_hash_t;\n #define __Pyx_PyInt_FromHash_t PyInt_FromLong\n #define __Pyx_PyInt_AsHash_t PyInt_AsLong\n#else\n #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t\n #define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t\n#endif\n#if PY_MAJOR_VERSION >= 3\n #define __Pyx_PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : (Py_INCREF(func), func))\n#else\n #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)\n#endif\n#if CYTHON_USE_ASYNC_SLOTS\n #if PY_VERSION_HEX >= 0x030500B1\n #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods\n #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)\n #else\n #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))\n #endif\n#else\n #define __Pyx_PyType_AsAsync(obj) NULL\n#endif\n#ifndef __Pyx_PyAsyncMethodsStruct\n typedef struct {\n unaryfunc am_await;\n unaryfunc am_aiter;\n unaryfunc am_anext;\n } __Pyx_PyAsyncMethodsStruct;\n#endif\n\n#if defined(WIN32) || defined(MS_WINDOWS)\n #define _USE_MATH_DEFINES\n#endif\n#include \n#ifdef NAN\n#define __PYX_NAN() ((float) NAN)\n#else\nstatic CYTHON_INLINE float __PYX_NAN() {\n float value;\n memset(&value, 0xFF, sizeof(value));\n return value;\n}\n#endif\n#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL)\n#define __Pyx_truncl trunc\n#else\n#define __Pyx_truncl truncl\n#endif\n\n\n#define __PYX_ERR(f_index, lineno, Ln_error) \\\n{ \\\n __pyx_filename = __pyx_f[f_index]; __pyx_lineno = lineno; __pyx_clineno = __LINE__; goto Ln_error; \\\n}\n\n#ifndef __PYX_EXTERN_C\n #ifdef __cplusplus\n #define __PYX_EXTERN_C extern \"C\"\n #else\n #define __PYX_EXTERN_C extern\n #endif\n#endif\n\n#define __PYX_HAVE__math\n#define __PYX_HAVE_API__math\n/* Early includes */\n#include \n#include \n#include \n#include \"pythread.h\"\n#include \"pystate.h\"\n#ifdef _OPENMP\n#include \n#endif /* _OPENMP */\n\n#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)\n#define CYTHON_WITHOUT_ASSERTIONS\n#endif\n\ntypedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding;\n const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry;\n\n#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0\n#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0\n#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8)\n#define __PYX_DEFAULT_STRING_ENCODING \"\"\n#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString\n#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize\n#define __Pyx_uchar_cast(c) ((unsigned char)c)\n#define __Pyx_long_cast(x) ((long)x)\n#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\\\n (sizeof(type) < sizeof(Py_ssize_t)) ||\\\n (sizeof(type) > sizeof(Py_ssize_t) &&\\\n likely(v < (type)PY_SSIZE_T_MAX ||\\\n v == (type)PY_SSIZE_T_MAX) &&\\\n (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\\\n v == (type)PY_SSIZE_T_MIN))) ||\\\n (sizeof(type) == sizeof(Py_ssize_t) &&\\\n (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\\\n v == (type)PY_SSIZE_T_MAX))) )\nstatic CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) {\n return (size_t) i < (size_t) limit;\n}\n#if defined (__cplusplus) && __cplusplus >= 201103L\n #include \n #define __Pyx_sst_abs(value) std::abs(value)\n#elif SIZEOF_INT >= SIZEOF_SIZE_T\n #define __Pyx_sst_abs(value) abs(value)\n#elif SIZEOF_LONG >= SIZEOF_SIZE_T\n #define __Pyx_sst_abs(value) labs(value)\n#elif defined (_MSC_VER)\n #define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value))\n#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L\n #define __Pyx_sst_abs(value) llabs(value)\n#elif defined (__GNUC__)\n #define __Pyx_sst_abs(value) __builtin_llabs(value)\n#else\n #define __Pyx_sst_abs(value) ((value<0) ? -value : value)\n#endif\nstatic CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*);\nstatic CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);\n#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s))\n#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l)\n#define __Pyx_PyBytes_FromString PyBytes_FromString\n#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize\nstatic CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);\n#if PY_MAJOR_VERSION < 3\n #define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString\n #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize\n#else\n #define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString\n #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize\n#endif\n#define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyObject_AsWritableString(s) ((char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_AsWritableSString(s) ((signed char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s)\n#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s)\n#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s)\n#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s)\n#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)\nstatic CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) {\n const Py_UNICODE *u_end = u;\n while (*u_end++) ;\n return (size_t)(u_end - u - 1);\n}\n#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u))\n#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode\n#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode\n#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj)\n#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None)\nstatic CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b);\nstatic CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);\nstatic CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*);\nstatic CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);\n#define __Pyx_PySequence_Tuple(obj)\\\n (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj))\nstatic CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);\nstatic CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);\n#if CYTHON_ASSUME_SAFE_MACROS\n#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))\n#else\n#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)\n#endif\n#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))\n#if PY_MAJOR_VERSION >= 3\n#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))\n#else\n#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))\n#endif\n#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))\n#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII\nstatic int __Pyx_sys_getdefaultencoding_not_ascii;\nstatic int __Pyx_init_sys_getdefaultencoding_params(void) {\n PyObject* sys;\n PyObject* default_encoding = NULL;\n PyObject* ascii_chars_u = NULL;\n PyObject* ascii_chars_b = NULL;\n const char* default_encoding_c;\n sys = PyImport_ImportModule(\"sys\");\n if (!sys) goto bad;\n default_encoding = PyObject_CallMethod(sys, (char*) \"getdefaultencoding\", NULL);\n Py_DECREF(sys);\n if (!default_encoding) goto bad;\n default_encoding_c = PyBytes_AsString(default_encoding);\n if (!default_encoding_c) goto bad;\n if (strcmp(default_encoding_c, \"ascii\") == 0) {\n __Pyx_sys_getdefaultencoding_not_ascii = 0;\n } else {\n char ascii_chars[128];\n int c;\n for (c = 0; c < 128; c++) {\n ascii_chars[c] = c;\n }\n __Pyx_sys_getdefaultencoding_not_ascii = 1;\n ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL);\n if (!ascii_chars_u) goto bad;\n ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL);\n if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) {\n PyErr_Format(\n PyExc_ValueError,\n \"This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.\",\n default_encoding_c);\n goto bad;\n }\n Py_DECREF(ascii_chars_u);\n Py_DECREF(ascii_chars_b);\n }\n Py_DECREF(default_encoding);\n return 0;\nbad:\n Py_XDECREF(default_encoding);\n Py_XDECREF(ascii_chars_u);\n Py_XDECREF(ascii_chars_b);\n return -1;\n}\n#endif\n#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3\n#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL)\n#else\n#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL)\n#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT\nstatic char* __PYX_DEFAULT_STRING_ENCODING;\nstatic int __Pyx_init_sys_getdefaultencoding_params(void) {\n PyObject* sys;\n PyObject* default_encoding = NULL;\n char* default_encoding_c;\n sys = PyImport_ImportModule(\"sys\");\n if (!sys) goto bad;\n default_encoding = PyObject_CallMethod(sys, (char*) (const char*) \"getdefaultencoding\", NULL);\n Py_DECREF(sys);\n if (!default_encoding) goto bad;\n default_encoding_c = PyBytes_AsString(default_encoding);\n if (!default_encoding_c) goto bad;\n __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1);\n if (!__PYX_DEFAULT_STRING_ENCODING) goto bad;\n strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);\n Py_DECREF(default_encoding);\n return 0;\nbad:\n Py_XDECREF(default_encoding);\n return -1;\n}\n#endif\n#endif\n\n\n/* Test for GCC > 2.95 */\n#if defined(__GNUC__) && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))\n #define likely(x) __builtin_expect(!!(x), 1)\n #define unlikely(x) __builtin_expect(!!(x), 0)\n#else /* !__GNUC__ or GCC < 2.95 */\n #define likely(x) (x)\n #define unlikely(x) (x)\n#endif /* __GNUC__ */\nstatic CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; }\n\nstatic PyObject *__pyx_m = NULL;\nstatic PyObject *__pyx_d;\nstatic PyObject *__pyx_b;\nstatic PyObject *__pyx_cython_runtime = NULL;\nstatic PyObject *__pyx_empty_tuple;\nstatic PyObject *__pyx_empty_bytes;\nstatic PyObject *__pyx_empty_unicode;\nstatic int __pyx_lineno;\nstatic int __pyx_clineno = 0;\nstatic const char * __pyx_cfilenm= __FILE__;\nstatic const char *__pyx_filename;\n\n\nstatic const char *__pyx_f[] = {\n \"math.pyx\",\n \"stringsource\",\n \"array.pxd\",\n \"type.pxd\",\n};\n/* BufferFormatStructs.proto */\n#define IS_UNSIGNED(type) (((type) -1) > 0)\nstruct __Pyx_StructField_;\n#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0)\ntypedef struct {\n const char* name;\n struct __Pyx_StructField_* fields;\n size_t size;\n size_t arraysize[8];\n int ndim;\n char typegroup;\n char is_unsigned;\n int flags;\n} __Pyx_TypeInfo;\ntypedef struct __Pyx_StructField_ {\n __Pyx_TypeInfo* type;\n const char* name;\n size_t offset;\n} __Pyx_StructField;\ntypedef struct {\n __Pyx_StructField* field;\n size_t parent_offset;\n} __Pyx_BufFmt_StackElem;\ntypedef struct {\n __Pyx_StructField root;\n __Pyx_BufFmt_StackElem* head;\n size_t fmt_offset;\n size_t new_count, enc_count;\n size_t struct_alignment;\n int is_complex;\n char enc_type;\n char new_packmode;\n char enc_packmode;\n char is_valid_array;\n} __Pyx_BufFmt_Context;\n\n/* NoFastGil.proto */\n#define __Pyx_PyGILState_Ensure PyGILState_Ensure\n#define __Pyx_PyGILState_Release PyGILState_Release\n#define __Pyx_FastGIL_Remember()\n#define __Pyx_FastGIL_Forget()\n#define __Pyx_FastGilFuncInit()\n\n/* MemviewSliceStruct.proto */\nstruct __pyx_memoryview_obj;\ntypedef struct {\n struct __pyx_memoryview_obj *memview;\n char *data;\n Py_ssize_t shape[8];\n Py_ssize_t strides[8];\n Py_ssize_t suboffsets[8];\n} __Pyx_memviewslice;\n#define __Pyx_MemoryView_Len(m) (m.shape[0])\n\n/* Atomics.proto */\n#include \n#ifndef CYTHON_ATOMICS\n #define CYTHON_ATOMICS 1\n#endif\n#define __pyx_atomic_int_type int\n#if CYTHON_ATOMICS && __GNUC__ >= 4 && (__GNUC_MINOR__ > 1 ||\\\n (__GNUC_MINOR__ == 1 && __GNUC_PATCHLEVEL >= 2)) &&\\\n !defined(__i386__)\n #define __pyx_atomic_incr_aligned(value, lock) __sync_fetch_and_add(value, 1)\n #define __pyx_atomic_decr_aligned(value, lock) __sync_fetch_and_sub(value, 1)\n #ifdef __PYX_DEBUG_ATOMICS\n #warning \"Using GNU atomics\"\n #endif\n#elif CYTHON_ATOMICS && defined(_MSC_VER) && 0\n #include \n #undef __pyx_atomic_int_type\n #define __pyx_atomic_int_type LONG\n #define __pyx_atomic_incr_aligned(value, lock) InterlockedIncrement(value)\n #define __pyx_atomic_decr_aligned(value, lock) InterlockedDecrement(value)\n #ifdef __PYX_DEBUG_ATOMICS\n #pragma message (\"Using MSVC atomics\")\n #endif\n#elif CYTHON_ATOMICS && (defined(__ICC) || defined(__INTEL_COMPILER)) && 0\n #define __pyx_atomic_incr_aligned(value, lock) _InterlockedIncrement(value)\n #define __pyx_atomic_decr_aligned(value, lock) _InterlockedDecrement(value)\n #ifdef __PYX_DEBUG_ATOMICS\n #warning \"Using Intel atomics\"\n #endif\n#else\n #undef CYTHON_ATOMICS\n #define CYTHON_ATOMICS 0\n #ifdef __PYX_DEBUG_ATOMICS\n #warning \"Not using atomics\"\n #endif\n#endif\ntypedef volatile __pyx_atomic_int_type __pyx_atomic_int;\n#if CYTHON_ATOMICS\n #define __pyx_add_acquisition_count(memview)\\\n 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PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2))\n#endif\n\n/* SliceObject.proto */\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice(\n PyObject* obj, Py_ssize_t cstart, Py_ssize_t cstop,\n PyObject** py_start, PyObject** py_stop, PyObject** py_slice,\n int has_cstart, int has_cstop, int wraparound);\n\n/* PyObjectCallNoArg.proto */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func);\n#else\n#define __Pyx_PyObject_CallNoArg(func) __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL)\n#endif\n\n/* PyThreadStateGet.proto */\n#if CYTHON_FAST_THREAD_STATE\n#define __Pyx_PyThreadState_declare PyThreadState *__pyx_tstate;\n#define __Pyx_PyThreadState_assign __pyx_tstate = __Pyx_PyThreadState_Current;\n#define __Pyx_PyErr_Occurred() __pyx_tstate->curexc_type\n#else\n#define __Pyx_PyThreadState_declare\n#define __Pyx_PyThreadState_assign\n#define __Pyx_PyErr_Occurred() PyErr_Occurred()\n#endif\n\n/* PyErrFetchRestore.proto */\n#if CYTHON_FAST_THREAD_STATE\n#define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL)\n#define __Pyx_ErrRestoreWithState(type, value, tb) __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb)\n#define __Pyx_ErrFetchWithState(type, value, tb) __Pyx_ErrFetchInState(PyThreadState_GET(), type, value, tb)\n#define __Pyx_ErrRestore(type, value, tb) __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb)\n#define __Pyx_ErrFetch(type, value, tb) __Pyx_ErrFetchInState(__pyx_tstate, type, value, tb)\nstatic CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);\nstatic CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);\n#if CYTHON_COMPILING_IN_CPYTHON\n#define __Pyx_PyErr_SetNone(exc) (Py_INCREF(exc), __Pyx_ErrRestore((exc), NULL, NULL))\n#else\n#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)\n#endif\n#else\n#define __Pyx_PyErr_Clear() PyErr_Clear()\n#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)\n#define __Pyx_ErrRestoreWithState(type, value, tb) PyErr_Restore(type, value, tb)\n#define __Pyx_ErrFetchWithState(type, value, tb) PyErr_Fetch(type, value, tb)\n#define __Pyx_ErrRestoreInState(tstate, type, value, tb) PyErr_Restore(type, value, tb)\n#define __Pyx_ErrFetchInState(tstate, type, value, tb) PyErr_Fetch(type, value, tb)\n#define __Pyx_ErrRestore(type, value, tb) PyErr_Restore(type, value, tb)\n#define __Pyx_ErrFetch(type, value, tb) PyErr_Fetch(type, value, tb)\n#endif\n\n/* RaiseException.proto */\nstatic void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);\n\n/* IsLittleEndian.proto */\nstatic CYTHON_INLINE int __Pyx_Is_Little_Endian(void);\n\n/* BufferFormatCheck.proto */\nstatic const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts);\nstatic void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,\n __Pyx_BufFmt_StackElem* stack,\n __Pyx_TypeInfo* type);\n\n/* BufferGetAndValidate.proto */\n#define __Pyx_GetBufferAndValidate(buf, obj, dtype, flags, nd, cast, stack)\\\n ((obj == Py_None || obj == NULL) ?\\\n (__Pyx_ZeroBuffer(buf), 0) :\\\n __Pyx__GetBufferAndValidate(buf, obj, dtype, flags, nd, cast, stack))\nstatic int __Pyx__GetBufferAndValidate(Py_buffer* buf, PyObject* obj,\n __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack);\nstatic void __Pyx_ZeroBuffer(Py_buffer* buf);\nstatic CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info);\nstatic Py_ssize_t __Pyx_minusones[] = { -1, -1, -1, -1, -1, -1, -1, -1 };\nstatic Py_ssize_t __Pyx_zeros[] = { 0, 0, 0, 0, 0, 0, 0, 0 };\n\n/* MemviewSliceInit.proto */\n#define __Pyx_BUF_MAX_NDIMS %(BUF_MAX_NDIMS)d\n#define __Pyx_MEMVIEW_DIRECT 1\n#define __Pyx_MEMVIEW_PTR 2\n#define __Pyx_MEMVIEW_FULL 4\n#define __Pyx_MEMVIEW_CONTIG 8\n#define __Pyx_MEMVIEW_STRIDED 16\n#define __Pyx_MEMVIEW_FOLLOW 32\n#define __Pyx_IS_C_CONTIG 1\n#define __Pyx_IS_F_CONTIG 2\nstatic int __Pyx_init_memviewslice(\n struct __pyx_memoryview_obj *memview,\n int ndim,\n __Pyx_memviewslice *memviewslice,\n int memview_is_new_reference);\nstatic CYTHON_INLINE int __pyx_add_acquisition_count_locked(\n __pyx_atomic_int *acquisition_count, PyThread_type_lock lock);\nstatic CYTHON_INLINE int __pyx_sub_acquisition_count_locked(\n __pyx_atomic_int *acquisition_count, PyThread_type_lock lock);\n#define __pyx_get_slice_count_pointer(memview) (memview->acquisition_count_aligned_p)\n#define __pyx_get_slice_count(memview) (*__pyx_get_slice_count_pointer(memview))\n#define __PYX_INC_MEMVIEW(slice, have_gil) __Pyx_INC_MEMVIEW(slice, have_gil, __LINE__)\n#define __PYX_XDEC_MEMVIEW(slice, have_gil) __Pyx_XDEC_MEMVIEW(slice, have_gil, __LINE__)\nstatic CYTHON_INLINE void __Pyx_INC_MEMVIEW(__Pyx_memviewslice *, int, int);\nstatic CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *, int, int);\n\n#define __Pyx_BufPtrFull1d(type, buf, i0, s0, o0) (type)(__Pyx_BufPtrFull1d_imp(buf, i0, s0, o0))\nstatic CYTHON_INLINE void* __Pyx_BufPtrFull1d_imp(void* buf, Py_ssize_t i0, Py_ssize_t s0, Py_ssize_t o0);\n/* ArgTypeTest.proto */\n#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\\\n ((likely((Py_TYPE(obj) == type) | (none_allowed && (obj == Py_None)))) ? 1 :\\\n __Pyx__ArgTypeTest(obj, type, name, exact))\nstatic int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact);\n\n/* IncludeStringH.proto */\n#include \n\n/* BytesEquals.proto */\nstatic CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals);\n\n/* UnicodeEquals.proto */\nstatic CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals);\n\n/* StrEquals.proto */\n#if PY_MAJOR_VERSION >= 3\n#define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals\n#else\n#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals\n#endif\n\n/* None.proto */\nstatic CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t, Py_ssize_t);\n\n/* UnaryNegOverflows.proto */\n#define UNARY_NEG_WOULD_OVERFLOW(x)\\\n (((x) < 0) & ((unsigned long)(x) == 0-(unsigned long)(x)))\n\nstatic CYTHON_UNUSED int __pyx_array_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/\nstatic PyObject *__pyx_array_get_memview(struct __pyx_array_obj *); /*proto*/\n/* GetAttr.proto */\nstatic CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *, PyObject *);\n\n/* decode_c_string_utf16.proto */\nstatic CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16(const char *s, Py_ssize_t size, const char *errors) {\n int byteorder = 0;\n return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);\n}\nstatic CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16LE(const char *s, Py_ssize_t size, const char *errors) {\n int byteorder = -1;\n return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);\n}\nstatic CYTHON_INLINE PyObject *__Pyx_PyUnicode_DecodeUTF16BE(const char *s, Py_ssize_t size, const char *errors) {\n int byteorder = 1;\n return PyUnicode_DecodeUTF16(s, size, errors, &byteorder);\n}\n\n/* decode_c_string.proto */\nstatic CYTHON_INLINE PyObject* __Pyx_decode_c_string(\n const char* cstring, Py_ssize_t start, Py_ssize_t stop,\n const char* encoding, const char* errors,\n PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors));\n\n/* PyErrExceptionMatches.proto */\n#if CYTHON_FAST_THREAD_STATE\n#define __Pyx_PyErr_ExceptionMatches(err) __Pyx_PyErr_ExceptionMatchesInState(__pyx_tstate, err)\nstatic CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err);\n#else\n#define __Pyx_PyErr_ExceptionMatches(err) PyErr_ExceptionMatches(err)\n#endif\n\n/* GetAttr3.proto */\nstatic CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *, PyObject *, PyObject *);\n\n/* RaiseNoneIterError.proto */\nstatic CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void);\n\n/* GetTopmostException.proto */\n#if CYTHON_USE_EXC_INFO_STACK\nstatic _PyErr_StackItem * __Pyx_PyErr_GetTopmostException(PyThreadState *tstate);\n#endif\n\n/* SaveResetException.proto */\n#if CYTHON_FAST_THREAD_STATE\n#define __Pyx_ExceptionSave(type, value, tb) __Pyx__ExceptionSave(__pyx_tstate, type, value, tb)\nstatic CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);\n#define __Pyx_ExceptionReset(type, value, tb) __Pyx__ExceptionReset(__pyx_tstate, type, value, tb)\nstatic CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);\n#else\n#define __Pyx_ExceptionSave(type, value, tb) PyErr_GetExcInfo(type, value, tb)\n#define __Pyx_ExceptionReset(type, value, tb) PyErr_SetExcInfo(type, value, tb)\n#endif\n\n/* GetException.proto */\n#if CYTHON_FAST_THREAD_STATE\n#define __Pyx_GetException(type, value, tb) __Pyx__GetException(__pyx_tstate, type, value, tb)\nstatic int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);\n#else\nstatic int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb);\n#endif\n\n/* SwapException.proto */\n#if CYTHON_FAST_THREAD_STATE\n#define __Pyx_ExceptionSwap(type, value, tb) __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb)\nstatic CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);\n#else\nstatic CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb);\n#endif\n\n/* Import.proto */\nstatic PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);\n\n/* FastTypeChecks.proto */\n#if CYTHON_COMPILING_IN_CPYTHON\n#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type)\nstatic CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b);\nstatic CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type);\nstatic CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2);\n#else\n#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)\n#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type)\n#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2))\n#endif\n#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception)\n\nstatic CYTHON_UNUSED int __pyx_memoryview_getbuffer(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/\n/* ListExtend.proto */\nstatic CYTHON_INLINE int __Pyx_PyList_Extend(PyObject* L, PyObject* v) {\n#if CYTHON_COMPILING_IN_CPYTHON\n PyObject* none = _PyList_Extend((PyListObject*)L, v);\n if (unlikely(!none))\n return -1;\n Py_DECREF(none);\n return 0;\n#else\n return PyList_SetSlice(L, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, v);\n#endif\n}\n\n/* ListAppend.proto */\n#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS\nstatic CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) {\n PyListObject* L = (PyListObject*) list;\n Py_ssize_t len = Py_SIZE(list);\n if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) {\n Py_INCREF(x);\n PyList_SET_ITEM(list, len, x);\n Py_SIZE(list) = len+1;\n return 0;\n }\n return PyList_Append(list, x);\n}\n#else\n#define __Pyx_PyList_Append(L,x) PyList_Append(L,x)\n#endif\n\n/* None.proto */\nstatic CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);\n\n/* None.proto */\nstatic CYTHON_INLINE long __Pyx_div_long(long, long);\n\n/* WriteUnraisableException.proto */\nstatic void __Pyx_WriteUnraisable(const char *name, int clineno,\n int lineno, const char *filename,\n int full_traceback, int nogil);\n\n/* ImportFrom.proto */\nstatic PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);\n\n/* HasAttr.proto */\nstatic CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *);\n\n/* PyObject_GenericGetAttrNoDict.proto */\n#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name);\n#else\n#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr\n#endif\n\n/* PyObject_GenericGetAttr.proto */\n#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000\nstatic PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name);\n#else\n#define __Pyx_PyObject_GenericGetAttr PyObject_GenericGetAttr\n#endif\n\n/* SetupReduce.proto */\nstatic int __Pyx_setup_reduce(PyObject* type_obj);\n\n/* SetVTable.proto */\nstatic int __Pyx_SetVtable(PyObject *dict, void *vtable);\n\n/* TypeImport.proto */\n#ifndef __PYX_HAVE_RT_ImportType_proto\n#define __PYX_HAVE_RT_ImportType_proto\nenum __Pyx_ImportType_CheckSize {\n __Pyx_ImportType_CheckSize_Error = 0,\n __Pyx_ImportType_CheckSize_Warn = 1,\n __Pyx_ImportType_CheckSize_Ignore = 2\n};\nstatic PyTypeObject *__Pyx_ImportType(PyObject* module, const char *module_name, const char *class_name, size_t size, enum __Pyx_ImportType_CheckSize check_size);\n#endif\n\n/* CLineInTraceback.proto */\n#ifdef CYTHON_CLINE_IN_TRACEBACK\n#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0)\n#else\nstatic int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line);\n#endif\n\n/* CodeObjectCache.proto */\ntypedef struct {\n PyCodeObject* code_object;\n int code_line;\n} __Pyx_CodeObjectCacheEntry;\nstruct __Pyx_CodeObjectCache {\n int count;\n int max_count;\n __Pyx_CodeObjectCacheEntry* entries;\n};\nstatic struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL};\nstatic int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line);\nstatic PyCodeObject *__pyx_find_code_object(int code_line);\nstatic void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);\n\n/* AddTraceback.proto */\nstatic void __Pyx_AddTraceback(const char *funcname, int c_line,\n int py_line, const char *filename);\n\n/* ArrayAPI.proto */\n#ifndef _ARRAYARRAY_H\n#define _ARRAYARRAY_H\ntypedef struct arraydescr {\n int typecode;\n int itemsize;\n PyObject * (*getitem)(struct arrayobject *, Py_ssize_t);\n int (*setitem)(struct arrayobject *, Py_ssize_t, PyObject *);\n#if PY_MAJOR_VERSION >= 3\n char *formats;\n#endif\n} arraydescr;\nstruct arrayobject {\n PyObject_HEAD\n Py_ssize_t ob_size;\n union {\n char *ob_item;\n float *as_floats;\n double *as_doubles;\n int *as_ints;\n unsigned int *as_uints;\n unsigned char *as_uchars;\n signed char *as_schars;\n char *as_chars;\n unsigned long *as_ulongs;\n long *as_longs;\n#if PY_MAJOR_VERSION >= 3\n unsigned long long *as_ulonglongs;\n long long *as_longlongs;\n#endif\n short *as_shorts;\n unsigned short *as_ushorts;\n Py_UNICODE *as_pyunicodes;\n void *as_voidptr;\n } data;\n Py_ssize_t allocated;\n struct arraydescr *ob_descr;\n PyObject *weakreflist;\n#if PY_MAJOR_VERSION >= 3\n int ob_exports;\n#endif\n};\n#ifndef NO_NEWARRAY_INLINE\nstatic CYTHON_INLINE PyObject * newarrayobject(PyTypeObject *type, Py_ssize_t size,\n struct arraydescr *descr) {\n arrayobject *op;\n size_t nbytes;\n if (size < 0) {\n PyErr_BadInternalCall();\n return NULL;\n }\n nbytes = size * descr->itemsize;\n if (nbytes / descr->itemsize != (size_t)size) {\n return PyErr_NoMemory();\n }\n op = (arrayobject *) type->tp_alloc(type, 0);\n if (op == NULL) {\n return NULL;\n }\n op->ob_descr = descr;\n op->allocated = size;\n op->weakreflist = NULL;\n op->ob_size = size;\n if (size <= 0) {\n op->data.ob_item = NULL;\n }\n else {\n op->data.ob_item = PyMem_NEW(char, nbytes);\n if (op->data.ob_item == NULL) {\n Py_DECREF(op);\n return PyErr_NoMemory();\n }\n }\n return (PyObject *) op;\n}\n#else\nPyObject* newarrayobject(PyTypeObject *type, Py_ssize_t size,\n struct arraydescr *descr);\n#endif\nstatic CYTHON_INLINE int resize(arrayobject *self, Py_ssize_t n) {\n void *items = (void*) self->data.ob_item;\n PyMem_Resize(items, char, (size_t)(n * self->ob_descr->itemsize));\n if (items == NULL) {\n PyErr_NoMemory();\n return -1;\n }\n self->data.ob_item = (char*) items;\n self->ob_size = n;\n self->allocated = n;\n return 0;\n}\nstatic CYTHON_INLINE int resize_smart(arrayobject *self, Py_ssize_t n) {\n void *items = (void*) self->data.ob_item;\n Py_ssize_t newsize;\n if (n < self->allocated && n*4 > self->allocated) {\n self->ob_size = n;\n return 0;\n }\n newsize = n + (n / 2) + 1;\n if (newsize <= n) {\n PyErr_NoMemory();\n return -1;\n }\n PyMem_Resize(items, char, (size_t)(newsize * self->ob_descr->itemsize));\n if (items == NULL) {\n PyErr_NoMemory();\n return -1;\n }\n self->data.ob_item = (char*) items;\n self->ob_size = n;\n self->allocated = newsize;\n return 0;\n}\n#endif\n\n#if PY_MAJOR_VERSION < 3\n static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags);\n static void __Pyx_ReleaseBuffer(Py_buffer *view);\n#else\n #define __Pyx_GetBuffer PyObject_GetBuffer\n #define __Pyx_ReleaseBuffer PyBuffer_Release\n#endif\n\n\n/* BufferStructDeclare.proto */\ntypedef struct {\n Py_ssize_t shape, strides, suboffsets;\n} __Pyx_Buf_DimInfo;\ntypedef struct {\n size_t refcount;\n Py_buffer pybuffer;\n} __Pyx_Buffer;\ntypedef struct {\n __Pyx_Buffer *rcbuffer;\n char *data;\n __Pyx_Buf_DimInfo diminfo[8];\n} __Pyx_LocalBuf_ND;\n\n/* MemviewSliceIsContig.proto */\nstatic int __pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim);\n\n/* OverlappingSlices.proto */\nstatic int __pyx_slices_overlap(__Pyx_memviewslice *slice1,\n __Pyx_memviewslice *slice2,\n int ndim, size_t itemsize);\n\n/* Capsule.proto */\nstatic CYTHON_INLINE PyObject *__pyx_capsule_create(void *p, const char *sig);\n\n/* CIntToPy.proto */\nstatic CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);\n\n/* CIntToPy.proto */\nstatic CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);\n\n/* MemviewSliceCopyTemplate.proto */\nstatic __Pyx_memviewslice\n__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,\n const char *mode, int ndim,\n size_t sizeof_dtype, int contig_flag,\n int dtype_is_object);\n\n/* CIntFromPy.proto */\nstatic CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);\n\n/* CIntFromPy.proto */\nstatic CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);\n\n/* CIntFromPy.proto */\nstatic CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *);\n\n/* FetchCommonType.proto */\nstatic PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type);\n\n/* PyObjectGetMethod.proto */\nstatic int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method);\n\n/* PyObjectCallMethod1.proto */\nstatic PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg);\n\n/* CoroutineBase.proto */\ntypedef PyObject *(*__pyx_coroutine_body_t)(PyObject *, PyThreadState *, PyObject *);\n#if CYTHON_USE_EXC_INFO_STACK\n#define __Pyx_ExcInfoStruct _PyErr_StackItem\n#else\ntypedef struct {\n PyObject *exc_type;\n PyObject *exc_value;\n PyObject *exc_traceback;\n} __Pyx_ExcInfoStruct;\n#endif\ntypedef struct {\n PyObject_HEAD\n __pyx_coroutine_body_t body;\n PyObject *closure;\n __Pyx_ExcInfoStruct gi_exc_state;\n PyObject *gi_weakreflist;\n PyObject *classobj;\n PyObject *yieldfrom;\n PyObject *gi_name;\n PyObject *gi_qualname;\n PyObject *gi_modulename;\n PyObject *gi_code;\n int resume_label;\n char is_running;\n} __pyx_CoroutineObject;\nstatic __pyx_CoroutineObject *__Pyx__Coroutine_New(\n PyTypeObject *type, __pyx_coroutine_body_t body, PyObject *code, PyObject *closure,\n PyObject *name, PyObject *qualname, PyObject *module_name);\nstatic __pyx_CoroutineObject *__Pyx__Coroutine_NewInit(\n __pyx_CoroutineObject *gen, __pyx_coroutine_body_t body, PyObject *code, PyObject *closure,\n PyObject *name, PyObject *qualname, PyObject *module_name);\nstatic CYTHON_INLINE void __Pyx_Coroutine_ExceptionClear(__Pyx_ExcInfoStruct *self);\nstatic int __Pyx_Coroutine_clear(PyObject *self);\nstatic PyObject *__Pyx_Coroutine_Send(PyObject *self, PyObject *value);\nstatic PyObject *__Pyx_Coroutine_Close(PyObject *self);\nstatic PyObject *__Pyx_Coroutine_Throw(PyObject *gen, PyObject *args);\n#if CYTHON_USE_EXC_INFO_STACK\n#define __Pyx_Coroutine_SwapException(self)\n#define __Pyx_Coroutine_ResetAndClearException(self) __Pyx_Coroutine_ExceptionClear(&(self)->gi_exc_state)\n#else\n#define __Pyx_Coroutine_SwapException(self) {\\\n __Pyx_ExceptionSwap(&(self)->gi_exc_state.exc_type, &(self)->gi_exc_state.exc_value, &(self)->gi_exc_state.exc_traceback);\\\n __Pyx_Coroutine_ResetFrameBackpointer(&(self)->gi_exc_state);\\\n }\n#define __Pyx_Coroutine_ResetAndClearException(self) {\\\n __Pyx_ExceptionReset((self)->gi_exc_state.exc_type, (self)->gi_exc_state.exc_value, (self)->gi_exc_state.exc_traceback);\\\n (self)->gi_exc_state.exc_type = (self)->gi_exc_state.exc_value = (self)->gi_exc_state.exc_traceback = NULL;\\\n }\n#endif\n#if CYTHON_FAST_THREAD_STATE\n#define __Pyx_PyGen_FetchStopIterationValue(pvalue)\\\n __Pyx_PyGen__FetchStopIterationValue(__pyx_tstate, pvalue)\n#else\n#define __Pyx_PyGen_FetchStopIterationValue(pvalue)\\\n __Pyx_PyGen__FetchStopIterationValue(__Pyx_PyThreadState_Current, pvalue)\n#endif\nstatic int __Pyx_PyGen__FetchStopIterationValue(PyThreadState *tstate, PyObject **pvalue);\nstatic CYTHON_INLINE void __Pyx_Coroutine_ResetFrameBackpointer(__Pyx_ExcInfoStruct *exc_state);\n\n/* PatchModuleWithCoroutine.proto */\nstatic PyObject* __Pyx_Coroutine_patch_module(PyObject* module, const char* py_code);\n\n/* PatchGeneratorABC.proto */\nstatic int __Pyx_patch_abc(void);\n\n/* Generator.proto */\n#define __Pyx_Generator_USED\nstatic PyTypeObject *__pyx_GeneratorType = 0;\n#define __Pyx_Generator_CheckExact(obj) (Py_TYPE(obj) == __pyx_GeneratorType)\n#define __Pyx_Generator_New(body, code, closure, name, qualname, module_name)\\\n __Pyx__Coroutine_New(__pyx_GeneratorType, body, code, closure, name, qualname, module_name)\nstatic PyObject *__Pyx_Generator_Next(PyObject *self);\nstatic int __pyx_Generator_init(void);\n\n/* TypeInfoCompare.proto */\nstatic int __pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b);\n\n/* MemviewSliceValidateAndInit.proto */\nstatic int __Pyx_ValidateAndInit_memviewslice(\n int *axes_specs,\n int c_or_f_flag,\n int buf_flags,\n int ndim,\n __Pyx_TypeInfo *dtype,\n __Pyx_BufFmt_StackElem stack[],\n __Pyx_memviewslice *memviewslice,\n PyObject *original_obj);\n\n/* ObjectToMemviewSlice.proto */\nstatic CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_double(PyObject *, int writable_flag);\n\n/* CheckBinaryVersion.proto */\nstatic int __Pyx_check_binary_version(void);\n\n/* InitStrings.proto */\nstatic int __Pyx_InitStrings(__Pyx_StringTabEntry *t);\n\nstatic PyObject *__pyx_array_get_memview(struct __pyx_array_obj *__pyx_v_self); /* proto*/\nstatic char *__pyx_memoryview_get_item_pointer(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index); /* proto*/\nstatic PyObject *__pyx_memoryview_is_slice(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_obj); /* proto*/\nstatic PyObject *__pyx_memoryview_setitem_slice_assignment(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_dst, PyObject *__pyx_v_src); /* proto*/\nstatic PyObject *__pyx_memoryview_setitem_slice_assign_scalar(struct __pyx_memoryview_obj *__pyx_v_self, struct __pyx_memoryview_obj *__pyx_v_dst, PyObject *__pyx_v_value); /* proto*/\nstatic PyObject *__pyx_memoryview_setitem_indexed(struct __pyx_memoryview_obj *__pyx_v_self, PyObject *__pyx_v_index, PyObject *__pyx_v_value); /* proto*/\nstatic PyObject *__pyx_memoryview_convert_item_to_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/\nstatic PyObject *__pyx_memoryview_assign_item_from_object(struct __pyx_memoryview_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/\nstatic PyObject *__pyx_memoryviewslice_convert_item_to_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp); /* proto*/\nstatic PyObject *__pyx_memoryviewslice_assign_item_from_object(struct __pyx_memoryviewslice_obj *__pyx_v_self, char *__pyx_v_itemp, PyObject *__pyx_v_value); /* proto*/\n\n/* Module declarations from 'cython.view' */\n\n/* Module declarations from 'cython' */\n\n/* Module declarations from 'libc.string' */\n\n/* Module declarations from 'libc.stdio' */\n\n/* Module declarations from '__builtin__' */\n\n/* Module declarations from 'cpython.type' */\nstatic PyTypeObject *__pyx_ptype_7cpython_4type_type = 0;\n\n/* Module declarations from 'cpython' */\n\n/* Module declarations from 'cpython.object' */\n\n/* Module declarations from 'cpython.ref' */\n\n/* Module declarations from 'cpython.exc' */\n\n/* Module declarations from 'cpython.mem' */\n\n/* Module declarations from 'array' */\n\n/* Module declarations from 'cpython.array' */\nstatic PyTypeObject *__pyx_ptype_7cpython_5array_array = 0;\nstatic CYTHON_INLINE int __pyx_f_7cpython_5array_extend_buffer(arrayobject *, char *, Py_ssize_t); /*proto*/\n\n/* Module declarations from 'libc.stdlib' */\n\n/* Module declarations from 'math' */\nstatic PyTypeObject *__pyx_ptype_4math_Matrix = 0;\nstatic PyTypeObject *__pyx_ptype_4math___pyx_scope_struct__tolist = 0;\nstatic PyTypeObject *__pyx_ptype_4math___pyx_scope_struct_1_genexpr = 0;\nstatic PyTypeObject *__pyx_array_type = 0;\nstatic PyTypeObject *__pyx_MemviewEnum_type = 0;\nstatic PyTypeObject *__pyx_memoryview_type = 0;\nstatic PyTypeObject *__pyx_memoryviewslice_type = 0;\nstatic PyObject *generic = 0;\nstatic PyObject *strided = 0;\nstatic PyObject *indirect = 0;\nstatic PyObject *contiguous = 0;\nstatic PyObject *indirect_contiguous = 0;\nstatic int __pyx_memoryview_thread_locks_used;\nstatic PyThread_type_lock __pyx_memoryview_thread_locks[8];\nstatic PyObject *__pyx_f_4math_dot(struct __pyx_obj_4math_Matrix *, struct __pyx_obj_4math_Matrix *, int __pyx_skip_dispatch); /*proto*/\nstatic struct __pyx_array_obj *__pyx_array_new(PyObject *, Py_ssize_t, char *, char *, char *); /*proto*/\nstatic void *__pyx_align_pointer(void *, size_t); /*proto*/\nstatic PyObject *__pyx_memoryview_new(PyObject *, int, int, __Pyx_TypeInfo *); /*proto*/\nstatic CYTHON_INLINE int __pyx_memoryview_check(PyObject *); /*proto*/\nstatic PyObject *_unellipsify(PyObject *, int); /*proto*/\nstatic PyObject *assert_direct_dimensions(Py_ssize_t *, int); /*proto*/\nstatic struct __pyx_memoryview_obj *__pyx_memview_slice(struct __pyx_memoryview_obj *, PyObject *); /*proto*/\nstatic int __pyx_memoryview_slice_memviewslice(__Pyx_memviewslice *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int *, Py_ssize_t, Py_ssize_t, Py_ssize_t, int, int, int, int); /*proto*/\nstatic char *__pyx_pybuffer_index(Py_buffer *, char *, Py_ssize_t, Py_ssize_t); /*proto*/\nstatic int __pyx_memslice_transpose(__Pyx_memviewslice *); /*proto*/\nstatic PyObject *__pyx_memoryview_fromslice(__Pyx_memviewslice, int, PyObject *(*)(char *), int (*)(char *, PyObject *), int); /*proto*/\nstatic __Pyx_memviewslice *__pyx_memoryview_get_slice_from_memoryview(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/\nstatic void __pyx_memoryview_slice_copy(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/\nstatic PyObject *__pyx_memoryview_copy_object(struct __pyx_memoryview_obj *); /*proto*/\nstatic PyObject *__pyx_memoryview_copy_object_from_slice(struct __pyx_memoryview_obj *, __Pyx_memviewslice *); /*proto*/\nstatic Py_ssize_t abs_py_ssize_t(Py_ssize_t); /*proto*/\nstatic char __pyx_get_best_slice_order(__Pyx_memviewslice *, int); /*proto*/\nstatic void _copy_strided_to_strided(char *, Py_ssize_t *, char *, Py_ssize_t *, Py_ssize_t *, Py_ssize_t *, int, size_t); /*proto*/\nstatic void copy_strided_to_strided(__Pyx_memviewslice *, __Pyx_memviewslice *, int, size_t); /*proto*/\nstatic Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *, int); /*proto*/\nstatic Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *, Py_ssize_t *, Py_ssize_t, int, char); /*proto*/\nstatic void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *, __Pyx_memviewslice *, char, int); /*proto*/\nstatic int __pyx_memoryview_err_extents(int, Py_ssize_t, Py_ssize_t); /*proto*/\nstatic int __pyx_memoryview_err_dim(PyObject *, char *, int); /*proto*/\nstatic int __pyx_memoryview_err(PyObject *, char *); /*proto*/\nstatic int __pyx_memoryview_copy_contents(__Pyx_memviewslice, __Pyx_memviewslice, int, int, int); /*proto*/\nstatic void __pyx_memoryview_broadcast_leading(__Pyx_memviewslice *, int, int); /*proto*/\nstatic void __pyx_memoryview_refcount_copying(__Pyx_memviewslice *, int, int, int); /*proto*/\nstatic void __pyx_memoryview_refcount_objects_in_slice_with_gil(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/\nstatic void __pyx_memoryview_refcount_objects_in_slice(char *, Py_ssize_t *, Py_ssize_t *, int, int); /*proto*/\nstatic void __pyx_memoryview_slice_assign_scalar(__Pyx_memviewslice *, int, size_t, void *, int); /*proto*/\nstatic void __pyx_memoryview__slice_assign_scalar(char *, Py_ssize_t *, Py_ssize_t *, int, size_t, void *); /*proto*/\nstatic PyObject *__pyx_unpickle_Enum__set_state(struct __pyx_MemviewEnum_obj *, PyObject *); /*proto*/\nstatic __Pyx_TypeInfo __Pyx_TypeInfo_double = { \"double\", NULL, sizeof(double), { 0 }, 0, 'R', 0, 0 };\n#define __Pyx_MODULE_NAME \"math\"\nextern int __pyx_module_is_main_math;\nint __pyx_module_is_main_math = 0;\n\n/* Implementation of 'math' */\nstatic PyObject *__pyx_builtin_range;\nstatic PyObject *__pyx_builtin_TypeError;\nstatic PyObject *__pyx_builtin_MemoryError;\nstatic PyObject *__pyx_builtin_ValueError;\nstatic PyObject *__pyx_builtin_enumerate;\nstatic PyObject *__pyx_builtin_Ellipsis;\nstatic PyObject *__pyx_builtin_id;\nstatic PyObject *__pyx_builtin_IndexError;\nstatic const char __pyx_k_O[] = \"O\";\nstatic const char __pyx_k_X[] = \"X\";\nstatic const char __pyx_k_Y[] = \"Y\";\nstatic const char __pyx_k_c[] = \"c\";\nstatic const char __pyx_k_d[] = \"d\";\nstatic const char __pyx_k_id[] = \"id\";\nstatic const char __pyx_k_new[] = \"__new__\";\nstatic const char __pyx_k_obj[] = \"obj\";\nstatic const char __pyx_k_src[] = \"src\";\nstatic const char __pyx_k_args[] = \"args\";\nstatic const char __pyx_k_base[] = \"base\";\nstatic const char __pyx_k_data[] = \"data\";\nstatic const char __pyx_k_dict[] = \"__dict__\";\nstatic const char __pyx_k_main[] = \"__main__\";\nstatic const char __pyx_k_math[] = \"math\";\nstatic const char __pyx_k_mode[] = \"mode\";\nstatic const char __pyx_k_name[] = \"name\";\nstatic const char __pyx_k_ndim[] = \"ndim\";\nstatic const char __pyx_k_pack[] = \"pack\";\nstatic const char __pyx_k_send[] = \"send\";\nstatic const char __pyx_k_size[] = \"size\";\nstatic const char __pyx_k_step[] = \"step\";\nstatic const char __pyx_k_stop[] = \"stop\";\nstatic const char __pyx_k_test[] = \"__test__\";\nstatic const char __pyx_k_ASCII[] = \"ASCII\";\nstatic const char __pyx_k_chain[] = \"chain\";\nstatic const char __pyx_k_class[] = \"__class__\";\nstatic const char __pyx_k_close[] = \"close\";\nstatic const char __pyx_k_dtype[] = \"dtype\";\nstatic const char __pyx_k_error[] = \"error\";\nstatic const char __pyx_k_flags[] = \"flags\";\nstatic const char __pyx_k_range[] = \"range\";\nstatic const char __pyx_k_shape[] = \"shape\";\nstatic const char __pyx_k_start[] = \"start\";\nstatic const char __pyx_k_throw[] = \"throw\";\nstatic const char __pyx_k_Matrix[] = \"Matrix\";\nstatic const char __pyx_k_encode[] = \"encode\";\nstatic const char __pyx_k_format[] = \"format\";\nstatic const char __pyx_k_import[] = \"__import__\";\nstatic const char __pyx_k_name_2[] = \"__name__\";\nstatic const char __pyx_k_pickle[] = \"pickle\";\nstatic const char __pyx_k_reduce[] = \"__reduce__\";\nstatic const char __pyx_k_repeat[] = \"repeat\";\nstatic const char __pyx_k_struct[] = \"struct\";\nstatic const char __pyx_k_tolist[] = \"tolist\";\nstatic const char __pyx_k_unpack[] = \"unpack\";\nstatic const char __pyx_k_update[] = \"update\";\nstatic const char __pyx_k_fortran[] = \"fortran\";\nstatic const char __pyx_k_genexpr[] = \"genexpr\";\nstatic const char __pyx_k_memview[] = \"memview\";\nstatic const char __pyx_k_reshape[] = \"reshape\";\nstatic const char __pyx_k_Ellipsis[] = \"Ellipsis\";\nstatic const char __pyx_k_getstate[] = \"__getstate__\";\nstatic const char __pyx_k_itemsize[] = \"itemsize\";\nstatic const char __pyx_k_pyx_type[] = \"__pyx_type\";\nstatic const char __pyx_k_setstate[] = \"__setstate__\";\nstatic const char __pyx_k_TypeError[] = \"TypeError\";\nstatic const char __pyx_k_enumerate[] = \"enumerate\";\nstatic const char __pyx_k_itertools[] = \"itertools\";\nstatic const char __pyx_k_pyx_state[] = \"__pyx_state\";\nstatic const char __pyx_k_reduce_ex[] = \"__reduce_ex__\";\nstatic const char __pyx_k_IndexError[] = \"IndexError\";\nstatic const char __pyx_k_ValueError[] = \"ValueError\";\nstatic const char __pyx_k_pyx_result[] = \"__pyx_result\";\nstatic const char __pyx_k_pyx_vtable[] = \"__pyx_vtable__\";\nstatic const char __pyx_k_MemoryError[] = \"MemoryError\";\nstatic const char __pyx_k_PickleError[] = \"PickleError\";\nstatic const char __pyx_k_pyx_checksum[] = \"__pyx_checksum\";\nstatic const char __pyx_k_stringsource[] = \"stringsource\";\nstatic const char __pyx_k_from_iterable[] = \"from_iterable\";\nstatic const char __pyx_k_pyx_getbuffer[] = \"__pyx_getbuffer\";\nstatic const char __pyx_k_reduce_cython[] = \"__reduce_cython__\";\nstatic const char __pyx_k_View_MemoryView[] = \"View.MemoryView\";\nstatic const char __pyx_k_allocate_buffer[] = \"allocate_buffer\";\nstatic const char __pyx_k_dtype_is_object[] = \"dtype_is_object\";\nstatic const char __pyx_k_pyx_PickleError[] = \"__pyx_PickleError\";\nstatic const char __pyx_k_setstate_cython[] = \"__setstate_cython__\";\nstatic const char __pyx_k_pyx_unpickle_Enum[] = \"__pyx_unpickle_Enum\";\nstatic const char __pyx_k_cline_in_traceback[] = \"cline_in_traceback\";\nstatic const char __pyx_k_strided_and_direct[] = \"\";\nstatic const char __pyx_k_strided_and_indirect[] = \"\";\nstatic const char __pyx_k_contiguous_and_direct[] = \"\";\nstatic const char __pyx_k_tolist_locals_genexpr[] = \"tolist..genexpr\";\nstatic const char __pyx_k_MemoryView_of_r_object[] = \"\";\nstatic const char __pyx_k_MemoryView_of_r_at_0x_x[] = \"\";\nstatic const char __pyx_k_contiguous_and_indirect[] = \"\";\nstatic const char __pyx_k_Cannot_index_with_type_s[] = \"Cannot index with type '%s'\";\nstatic const char __pyx_k_Invalid_shape_in_axis_d_d[] = \"Invalid shape in axis %d: %d.\";\nstatic const char __pyx_k_itemsize_0_for_cython_array[] = \"itemsize <= 0 for cython.array\";\nstatic const char __pyx_k_unable_to_allocate_array_data[] = \"unable to allocate array data.\";\nstatic const char __pyx_k_strided_and_direct_or_indirect[] = \"\";\nstatic const char __pyx_k_Buffer_view_does_not_expose_stri[] = \"Buffer view does not expose strides\";\nstatic const char __pyx_k_Can_only_create_a_buffer_that_is[] = \"Can only create a buffer that is contiguous in memory.\";\nstatic const char __pyx_k_Cannot_assign_to_read_only_memor[] = \"Cannot assign to read-only memoryview\";\nstatic const char __pyx_k_Cannot_create_writable_memory_vi[] = \"Cannot create writable memory view from read-only memoryview\";\nstatic const char __pyx_k_Empty_shape_tuple_for_cython_arr[] = \"Empty shape tuple for cython.array\";\nstatic const char __pyx_k_Incompatible_checksums_s_vs_0xb0[] = \"Incompatible checksums (%s vs 0xb068931 = (name))\";\nstatic const char __pyx_k_Indirect_dimensions_not_supporte[] = \"Indirect dimensions not supported\";\nstatic const char __pyx_k_Invalid_mode_expected_c_or_fortr[] = \"Invalid mode, expected 'c' or 'fortran', got %s\";\nstatic const char __pyx_k_Out_of_bounds_on_buffer_access_a[] = \"Out of bounds on buffer access (axis %d)\";\nstatic const char __pyx_k_Unable_to_convert_item_to_object[] = \"Unable to convert item to object\";\nstatic const char __pyx_k_got_differing_extents_in_dimensi[] = \"got differing extents in dimension %d (got %d and %d)\";\nstatic const char __pyx_k_no_default___reduce___due_to_non[] = \"no default __reduce__ due to non-trivial __cinit__\";\nstatic const char __pyx_k_unable_to_allocate_shape_and_str[] = \"unable to allocate shape and strides.\";\nstatic PyObject *__pyx_n_s_ASCII;\nstatic PyObject *__pyx_kp_s_Buffer_view_does_not_expose_stri;\nstatic PyObject *__pyx_kp_s_Can_only_create_a_buffer_that_is;\nstatic PyObject *__pyx_kp_s_Cannot_assign_to_read_only_memor;\nstatic PyObject *__pyx_kp_s_Cannot_create_writable_memory_vi;\nstatic PyObject *__pyx_kp_s_Cannot_index_with_type_s;\nstatic PyObject *__pyx_n_s_Ellipsis;\nstatic PyObject *__pyx_kp_s_Empty_shape_tuple_for_cython_arr;\nstatic PyObject *__pyx_kp_s_Incompatible_checksums_s_vs_0xb0;\nstatic PyObject *__pyx_n_s_IndexError;\nstatic PyObject *__pyx_kp_s_Indirect_dimensions_not_supporte;\nstatic PyObject *__pyx_kp_s_Invalid_mode_expected_c_or_fortr;\nstatic PyObject *__pyx_kp_s_Invalid_shape_in_axis_d_d;\nstatic PyObject *__pyx_n_s_Matrix;\nstatic PyObject *__pyx_n_s_MemoryError;\nstatic PyObject *__pyx_kp_s_MemoryView_of_r_at_0x_x;\nstatic PyObject *__pyx_kp_s_MemoryView_of_r_object;\nstatic PyObject *__pyx_n_b_O;\nstatic PyObject *__pyx_kp_s_Out_of_bounds_on_buffer_access_a;\nstatic PyObject *__pyx_n_s_PickleError;\nstatic PyObject *__pyx_n_s_TypeError;\nstatic PyObject *__pyx_kp_s_Unable_to_convert_item_to_object;\nstatic PyObject *__pyx_n_s_ValueError;\nstatic PyObject *__pyx_n_s_View_MemoryView;\nstatic PyObject *__pyx_n_s_X;\nstatic PyObject *__pyx_n_s_Y;\nstatic PyObject *__pyx_n_s_allocate_buffer;\nstatic PyObject *__pyx_n_s_args;\nstatic PyObject *__pyx_n_s_base;\nstatic PyObject *__pyx_n_s_c;\nstatic PyObject *__pyx_n_u_c;\nstatic PyObject *__pyx_n_s_chain;\nstatic PyObject *__pyx_n_s_class;\nstatic PyObject *__pyx_n_s_cline_in_traceback;\nstatic PyObject *__pyx_n_s_close;\nstatic PyObject *__pyx_kp_s_contiguous_and_direct;\nstatic PyObject *__pyx_kp_s_contiguous_and_indirect;\nstatic PyObject *__pyx_n_s_d;\nstatic PyObject *__pyx_n_s_data;\nstatic PyObject *__pyx_n_s_dict;\nstatic PyObject *__pyx_n_s_dtype;\nstatic PyObject *__pyx_n_s_dtype_is_object;\nstatic PyObject *__pyx_n_s_encode;\nstatic PyObject *__pyx_n_s_enumerate;\nstatic PyObject *__pyx_n_s_error;\nstatic PyObject *__pyx_n_s_flags;\nstatic PyObject *__pyx_n_s_format;\nstatic PyObject *__pyx_n_s_fortran;\nstatic PyObject *__pyx_n_u_fortran;\nstatic PyObject *__pyx_n_s_from_iterable;\nstatic PyObject *__pyx_n_s_genexpr;\nstatic PyObject *__pyx_n_s_getstate;\nstatic PyObject *__pyx_kp_s_got_differing_extents_in_dimensi;\nstatic PyObject *__pyx_n_s_id;\nstatic PyObject *__pyx_n_s_import;\nstatic PyObject *__pyx_n_s_itemsize;\nstatic PyObject *__pyx_kp_s_itemsize_0_for_cython_array;\nstatic PyObject *__pyx_n_s_itertools;\nstatic PyObject *__pyx_n_s_main;\nstatic PyObject *__pyx_n_s_math;\nstatic PyObject *__pyx_n_s_memview;\nstatic PyObject *__pyx_n_s_mode;\nstatic PyObject *__pyx_n_s_name;\nstatic PyObject *__pyx_n_s_name_2;\nstatic PyObject *__pyx_n_s_ndim;\nstatic PyObject *__pyx_n_s_new;\nstatic PyObject *__pyx_kp_s_no_default___reduce___due_to_non;\nstatic PyObject *__pyx_n_s_obj;\nstatic PyObject *__pyx_n_s_pack;\nstatic PyObject *__pyx_n_s_pickle;\nstatic PyObject *__pyx_n_s_pyx_PickleError;\nstatic PyObject *__pyx_n_s_pyx_checksum;\nstatic PyObject *__pyx_n_s_pyx_getbuffer;\nstatic PyObject *__pyx_n_s_pyx_result;\nstatic PyObject *__pyx_n_s_pyx_state;\nstatic PyObject *__pyx_n_s_pyx_type;\nstatic PyObject *__pyx_n_s_pyx_unpickle_Enum;\nstatic PyObject *__pyx_n_s_pyx_vtable;\nstatic PyObject 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__pyx_L15;\n }\n\n /* \"View.MemoryView\":851\n * start = shape - 1\n * else:\n * start = 0 # <<<<<<<<<<<<<<\n * \n * if have_stop:\n */\n /*else*/ {\n __pyx_v_start = 0;\n }\n __pyx_L15:;\n }\n __pyx_L11:;\n\n /* \"View.MemoryView\":853\n * start = 0\n * \n * if have_stop: # <<<<<<<<<<<<<<\n * if stop < 0:\n * stop += shape\n */\n __pyx_t_2 = (__pyx_v_have_stop != 0);\n if (__pyx_t_2) {\n\n /* \"View.MemoryView\":854\n * \n * if have_stop:\n * if stop < 0: # <<<<<<<<<<<<<<\n * stop += shape\n * if stop < 0:\n */\n __pyx_t_2 = ((__pyx_v_stop < 0) != 0);\n if (__pyx_t_2) {\n\n /* \"View.MemoryView\":855\n * if have_stop:\n * if stop < 0:\n * stop += shape # <<<<<<<<<<<<<<\n * if stop < 0:\n * stop = 0\n */\n __pyx_v_stop = (__pyx_v_stop + __pyx_v_shape);\n\n /* \"View.MemoryView\":856\n * if stop < 0:\n * stop += shape\n * if stop < 0: # <<<<<<<<<<<<<<\n * stop = 0\n * elif stop > shape:\n */\n __pyx_t_2 = ((__pyx_v_stop < 0) != 0);\n if (__pyx_t_2) {\n\n /* \"View.MemoryView\":857\n * stop += shape\n * if stop < 0:\n * stop = 0 # <<<<<<<<<<<<<<\n * elif stop > shape:\n * stop = shape\n */\n __pyx_v_stop = 0;\n\n /* \"View.MemoryView\":856\n * if stop < 0:\n * stop += shape\n * if stop < 0: # <<<<<<<<<<<<<<\n * stop = 0\n * elif stop > shape:\n */\n }\n\n /* \"View.MemoryView\":854\n * \n * if have_stop:\n * if stop < 0: # <<<<<<<<<<<<<<\n * stop += shape\n * if stop < 0:\n */\n goto __pyx_L17;\n }\n\n /* \"View.MemoryView\":858\n * if stop < 0:\n * stop = 0\n * elif stop > shape: # <<<<<<<<<<<<<<\n * stop = shape\n * else:\n */\n __pyx_t_2 = ((__pyx_v_stop > __pyx_v_shape) != 0);\n if (__pyx_t_2) {\n\n /* \"View.MemoryView\":859\n * stop = 0\n * elif stop > shape:\n * stop = shape # <<<<<<<<<<<<<<\n * else:\n * if negative_step:\n */\n __pyx_v_stop = __pyx_v_shape;\n\n /* \"View.MemoryView\":858\n * if stop < 0:\n * stop = 0\n * elif stop > shape: # <<<<<<<<<<<<<<\n * stop = shape\n * else:\n */\n }\n __pyx_L17:;\n\n /* \"View.MemoryView\":853\n * start = 0\n * \n * if have_stop: # <<<<<<<<<<<<<<\n * if stop < 0:\n * stop += shape\n */\n goto __pyx_L16;\n }\n\n /* \"View.MemoryView\":861\n * stop = shape\n * else:\n * if negative_step: # <<<<<<<<<<<<<<\n * stop = -1\n * else:\n */\n /*else*/ {\n __pyx_t_2 = (__pyx_v_negative_step != 0);\n if (__pyx_t_2) {\n\n /* \"View.MemoryView\":862\n * else:\n * if negative_step:\n * stop = -1 # <<<<<<<<<<<<<<\n * else:\n * stop = shape\n */\n __pyx_v_stop = -1L;\n\n /* \"View.MemoryView\":861\n * stop = shape\n * else:\n * if negative_step: # <<<<<<<<<<<<<<\n * stop = -1\n * else:\n */\n goto __pyx_L19;\n }\n\n /* \"View.MemoryView\":864\n * stop = -1\n * else:\n * stop = shape # <<<<<<<<<<<<<<\n * \n * if not have_step:\n */\n /*else*/ {\n __pyx_v_stop = __pyx_v_shape;\n }\n __pyx_L19:;\n }\n __pyx_L16:;\n\n /* \"View.MemoryView\":866\n * stop = shape\n * \n * if not have_step: # <<<<<<<<<<<<<<\n * step = 1\n * \n */\n __pyx_t_2 = ((!(__pyx_v_have_step != 0)) != 0);\n if (__pyx_t_2) {\n\n /* \"View.MemoryView\":867\n * \n * if not have_step:\n * step = 1 # <<<<<<<<<<<<<<\n * \n * \n */\n __pyx_v_step = 1;\n\n /* \"View.MemoryView\":866\n * stop = shape\n * \n * if not have_step: # <<<<<<<<<<<<<<\n * step = 1\n * \n */\n }\n\n /* \"View.MemoryView\":871\n * \n * with cython.cdivision(True):\n * new_shape = (stop - start) // step # <<<<<<<<<<<<<<\n * \n * if (stop - start) - step * new_shape:\n */\n __pyx_v_new_shape = ((__pyx_v_stop - __pyx_v_start) / __pyx_v_step);\n\n /* \"View.MemoryView\":873\n * new_shape = (stop - start) // step\n * \n * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<<\n * new_shape += 1\n * \n */\n __pyx_t_2 = (((__pyx_v_stop - __pyx_v_start) - (__pyx_v_step * __pyx_v_new_shape)) != 0);\n if (__pyx_t_2) {\n\n /* \"View.MemoryView\":874\n * \n * if (stop - start) - step * new_shape:\n * new_shape += 1 # <<<<<<<<<<<<<<\n * \n * if new_shape < 0:\n */\n __pyx_v_new_shape = (__pyx_v_new_shape + 1);\n\n /* \"View.MemoryView\":873\n * new_shape = (stop - start) // step\n * \n * if (stop - start) - step * new_shape: # <<<<<<<<<<<<<<\n * new_shape += 1\n * \n */\n }\n\n /* \"View.MemoryView\":876\n * new_shape += 1\n * \n * if new_shape < 0: # <<<<<<<<<<<<<<\n * new_shape = 0\n * \n */\n __pyx_t_2 = ((__pyx_v_new_shape < 0) != 0);\n if (__pyx_t_2) {\n\n /* \"View.MemoryView\":877\n * \n * if new_shape < 0:\n * new_shape = 0 # <<<<<<<<<<<<<<\n * \n * \n */\n __pyx_v_new_shape = 0;\n\n /* \"View.MemoryView\":876\n * new_shape += 1\n * \n * if new_shape < 0: # <<<<<<<<<<<<<<\n * new_shape = 0\n * \n */\n }\n\n /* \"View.MemoryView\":880\n * \n * \n * dst.strides[new_ndim] = stride * step # <<<<<<<<<<<<<<\n * dst.shape[new_ndim] = new_shape\n * dst.suboffsets[new_ndim] = suboffset\n */\n (__pyx_v_dst->strides[__pyx_v_new_ndim]) = (__pyx_v_stride * __pyx_v_step);\n\n /* \"View.MemoryView\":881\n * \n * dst.strides[new_ndim] = stride * step\n * dst.shape[new_ndim] = new_shape # <<<<<<<<<<<<<<\n * dst.suboffsets[new_ndim] = suboffset\n 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/* \"View.MemoryView\":1094\n * to_dtype_func = (<_memoryviewslice> memview).to_dtype_func\n * else:\n * to_object_func = NULL # <<<<<<<<<<<<<<\n * to_dtype_func = NULL\n * \n */\n /*else*/ {\n __pyx_v_to_object_func = NULL;\n\n /* \"View.MemoryView\":1095\n * else:\n * to_object_func = NULL\n * to_dtype_func = NULL # <<<<<<<<<<<<<<\n * \n * return memoryview_fromslice(memviewslice[0], memview.view.ndim,\n */\n __pyx_v_to_dtype_func = NULL;\n }\n __pyx_L3:;\n\n /* \"View.MemoryView\":1097\n * to_dtype_func = NULL\n * \n * return memoryview_fromslice(memviewslice[0], memview.view.ndim, # <<<<<<<<<<<<<<\n * to_object_func, to_dtype_func,\n * memview.dtype_is_object)\n */\n __Pyx_XDECREF(__pyx_r);\n\n /* \"View.MemoryView\":1099\n * return memoryview_fromslice(memviewslice[0], memview.view.ndim,\n * to_object_func, to_dtype_func,\n * memview.dtype_is_object) # <<<<<<<<<<<<<<\n * \n * \n */\n __pyx_t_5 = __pyx_memoryview_fromslice((__pyx_v_memviewslice[0]), __pyx_v_memview->view.ndim, 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arg < 0:\n * return -arg\n */\n\n /* function exit code */\n __pyx_L0:;\n return __pyx_r;\n}\n\n/* \"View.MemoryView\":1112\n * \n * @cname('__pyx_get_best_slice_order')\n * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<<\n * \"\"\"\n * Figure out the best memory access order for a given slice.\n */\n\nstatic char __pyx_get_best_slice_order(__Pyx_memviewslice *__pyx_v_mslice, int __pyx_v_ndim) {\n int __pyx_v_i;\n Py_ssize_t __pyx_v_c_stride;\n Py_ssize_t __pyx_v_f_stride;\n char __pyx_r;\n int __pyx_t_1;\n int __pyx_t_2;\n int __pyx_t_3;\n int __pyx_t_4;\n\n /* \"View.MemoryView\":1117\n * \"\"\"\n * cdef int i\n * cdef Py_ssize_t c_stride = 0 # <<<<<<<<<<<<<<\n * cdef Py_ssize_t f_stride = 0\n * \n */\n __pyx_v_c_stride = 0;\n\n /* \"View.MemoryView\":1118\n * cdef int i\n * cdef Py_ssize_t c_stride = 0\n * cdef Py_ssize_t f_stride = 0 # <<<<<<<<<<<<<<\n * \n * for i in range(ndim - 1, -1, -1):\n */\n __pyx_v_f_stride = 0;\n\n /* \"View.MemoryView\":1120\n * cdef Py_ssize_t f_stride = 0\n * \n * for i in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<\n * if mslice.shape[i] > 1:\n * c_stride = mslice.strides[i]\n */\n for (__pyx_t_1 = (__pyx_v_ndim - 1); __pyx_t_1 > -1; __pyx_t_1-=1) {\n __pyx_v_i = __pyx_t_1;\n\n /* \"View.MemoryView\":1121\n * \n * for i in range(ndim - 1, -1, -1):\n * if mslice.shape[i] > 1: # <<<<<<<<<<<<<<\n * c_stride = mslice.strides[i]\n * break\n */\n __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0);\n if (__pyx_t_2) {\n\n /* \"View.MemoryView\":1122\n * for i in range(ndim - 1, -1, -1):\n * if mslice.shape[i] > 1:\n * c_stride = mslice.strides[i] # <<<<<<<<<<<<<<\n * break\n * \n */\n __pyx_v_c_stride = (__pyx_v_mslice->strides[__pyx_v_i]);\n\n /* \"View.MemoryView\":1123\n * if mslice.shape[i] > 1:\n * c_stride = mslice.strides[i]\n * break # <<<<<<<<<<<<<<\n * \n * for i in range(ndim):\n */\n goto __pyx_L4_break;\n\n /* \"View.MemoryView\":1121\n * \n * for i in range(ndim - 1, -1, -1):\n * if mslice.shape[i] > 1: # <<<<<<<<<<<<<<\n * c_stride = mslice.strides[i]\n * break\n */\n }\n }\n __pyx_L4_break:;\n\n /* \"View.MemoryView\":1125\n * break\n * \n * for i in range(ndim): # <<<<<<<<<<<<<<\n * if mslice.shape[i] > 1:\n * f_stride = mslice.strides[i]\n */\n __pyx_t_1 = __pyx_v_ndim;\n __pyx_t_3 = __pyx_t_1;\n for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {\n __pyx_v_i = __pyx_t_4;\n\n /* \"View.MemoryView\":1126\n * \n * for i in range(ndim):\n * if mslice.shape[i] > 1: # <<<<<<<<<<<<<<\n * f_stride = mslice.strides[i]\n * break\n */\n __pyx_t_2 = (((__pyx_v_mslice->shape[__pyx_v_i]) > 1) != 0);\n if (__pyx_t_2) {\n\n /* \"View.MemoryView\":1127\n * for i in range(ndim):\n * if mslice.shape[i] > 1:\n * f_stride = mslice.strides[i] # <<<<<<<<<<<<<<\n * break\n * \n */\n __pyx_v_f_stride = (__pyx_v_mslice->strides[__pyx_v_i]);\n\n /* \"View.MemoryView\":1128\n * if mslice.shape[i] > 1:\n * f_stride = mslice.strides[i]\n * break # <<<<<<<<<<<<<<\n * \n * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):\n */\n goto __pyx_L7_break;\n\n /* \"View.MemoryView\":1126\n * \n * for i in range(ndim):\n * if mslice.shape[i] > 1: # <<<<<<<<<<<<<<\n * f_stride = mslice.strides[i]\n * break\n */\n }\n }\n __pyx_L7_break:;\n\n /* \"View.MemoryView\":1130\n * break\n * \n * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<<\n * return 'C'\n * else:\n */\n __pyx_t_2 = ((abs_py_ssize_t(__pyx_v_c_stride) <= abs_py_ssize_t(__pyx_v_f_stride)) != 0);\n if (__pyx_t_2) {\n\n /* \"View.MemoryView\":1131\n * \n * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride):\n * return 'C' # <<<<<<<<<<<<<<\n * else:\n * return 'F'\n */\n __pyx_r = 'C';\n goto __pyx_L0;\n\n /* \"View.MemoryView\":1130\n * break\n * \n * if abs_py_ssize_t(c_stride) <= abs_py_ssize_t(f_stride): # <<<<<<<<<<<<<<\n * return 'C'\n * else:\n */\n }\n\n /* \"View.MemoryView\":1133\n * return 'C'\n * else:\n * return 'F' # <<<<<<<<<<<<<<\n * \n * @cython.cdivision(True)\n */\n /*else*/ {\n __pyx_r = 'F';\n goto __pyx_L0;\n }\n\n /* \"View.MemoryView\":1112\n * \n * @cname('__pyx_get_best_slice_order')\n * cdef char get_best_order(__Pyx_memviewslice *mslice, int ndim) nogil: # <<<<<<<<<<<<<<\n * \"\"\"\n * Figure out the best memory access order for a given slice.\n */\n\n /* function exit code */\n __pyx_L0:;\n return __pyx_r;\n}\n\n/* \"View.MemoryView\":1136\n * \n * @cython.cdivision(True)\n * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<<\n * char *dst_data, Py_ssize_t *dst_strides,\n * Py_ssize_t *src_shape, Py_ssize_t *dst_shape,\n */\n\nstatic void _copy_strided_to_strided(char *__pyx_v_src_data, Py_ssize_t *__pyx_v_src_strides, char *__pyx_v_dst_data, Py_ssize_t *__pyx_v_dst_strides, Py_ssize_t *__pyx_v_src_shape, Py_ssize_t *__pyx_v_dst_shape, int __pyx_v_ndim, size_t __pyx_v_itemsize) {\n CYTHON_UNUSED Py_ssize_t __pyx_v_i;\n CYTHON_UNUSED Py_ssize_t __pyx_v_src_extent;\n Py_ssize_t __pyx_v_dst_extent;\n Py_ssize_t __pyx_v_src_stride;\n Py_ssize_t __pyx_v_dst_stride;\n int __pyx_t_1;\n int __pyx_t_2;\n int __pyx_t_3;\n Py_ssize_t __pyx_t_4;\n Py_ssize_t __pyx_t_5;\n Py_ssize_t __pyx_t_6;\n\n /* \"View.MemoryView\":1143\n * \n * cdef Py_ssize_t i\n * cdef Py_ssize_t src_extent = src_shape[0] # <<<<<<<<<<<<<<\n * cdef Py_ssize_t dst_extent = dst_shape[0]\n * cdef Py_ssize_t src_stride = src_strides[0]\n */\n __pyx_v_src_extent = (__pyx_v_src_shape[0]);\n\n /* \"View.MemoryView\":1144\n * cdef Py_ssize_t i\n * cdef Py_ssize_t src_extent = src_shape[0]\n * cdef Py_ssize_t dst_extent = dst_shape[0] # <<<<<<<<<<<<<<\n * cdef Py_ssize_t src_stride = src_strides[0]\n * cdef Py_ssize_t dst_stride = dst_strides[0]\n */\n __pyx_v_dst_extent = (__pyx_v_dst_shape[0]);\n\n /* \"View.MemoryView\":1145\n * cdef Py_ssize_t src_extent = src_shape[0]\n * cdef Py_ssize_t dst_extent = dst_shape[0]\n * cdef Py_ssize_t src_stride = src_strides[0] # <<<<<<<<<<<<<<\n * cdef Py_ssize_t dst_stride = dst_strides[0]\n * \n */\n __pyx_v_src_stride = (__pyx_v_src_strides[0]);\n\n /* \"View.MemoryView\":1146\n * cdef Py_ssize_t dst_extent = dst_shape[0]\n * cdef Py_ssize_t src_stride = src_strides[0]\n * cdef Py_ssize_t dst_stride = dst_strides[0] # <<<<<<<<<<<<<<\n * \n * if ndim == 1:\n */\n __pyx_v_dst_stride = (__pyx_v_dst_strides[0]);\n\n /* \"View.MemoryView\":1148\n * cdef Py_ssize_t dst_stride = dst_strides[0]\n * \n * if ndim == 1: # <<<<<<<<<<<<<<\n * if (src_stride > 0 and dst_stride > 0 and\n * src_stride == itemsize == dst_stride):\n */\n __pyx_t_1 = ((__pyx_v_ndim == 1) != 0);\n if (__pyx_t_1) {\n\n /* \"View.MemoryView\":1149\n * \n * if ndim == 1:\n * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<\n * src_stride == itemsize == dst_stride):\n * memcpy(dst_data, src_data, itemsize * dst_extent)\n */\n __pyx_t_2 = ((__pyx_v_src_stride > 0) != 0);\n if (__pyx_t_2) {\n } else {\n __pyx_t_1 = __pyx_t_2;\n goto __pyx_L5_bool_binop_done;\n }\n __pyx_t_2 = ((__pyx_v_dst_stride > 0) != 0);\n if (__pyx_t_2) {\n } else {\n __pyx_t_1 = __pyx_t_2;\n goto __pyx_L5_bool_binop_done;\n }\n\n /* \"View.MemoryView\":1150\n * if ndim == 1:\n * if (src_stride > 0 and dst_stride > 0 and\n * src_stride == itemsize == dst_stride): # <<<<<<<<<<<<<<\n * memcpy(dst_data, src_data, itemsize * dst_extent)\n * else:\n */\n __pyx_t_2 = (((size_t)__pyx_v_src_stride) == __pyx_v_itemsize);\n if (__pyx_t_2) {\n __pyx_t_2 = (__pyx_v_itemsize == ((size_t)__pyx_v_dst_stride));\n }\n __pyx_t_3 = (__pyx_t_2 != 0);\n __pyx_t_1 = __pyx_t_3;\n __pyx_L5_bool_binop_done:;\n\n /* \"View.MemoryView\":1149\n * \n * if ndim == 1:\n * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<\n * src_stride == itemsize == dst_stride):\n * memcpy(dst_data, src_data, itemsize * dst_extent)\n */\n if (__pyx_t_1) {\n\n /* \"View.MemoryView\":1151\n * if (src_stride > 0 and dst_stride > 0 and\n * src_stride == itemsize == dst_stride):\n * memcpy(dst_data, src_data, itemsize * dst_extent) # <<<<<<<<<<<<<<\n * else:\n * for i in range(dst_extent):\n */\n (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, (__pyx_v_itemsize * __pyx_v_dst_extent)));\n\n /* \"View.MemoryView\":1149\n * \n * if ndim == 1:\n * if (src_stride > 0 and dst_stride > 0 and # <<<<<<<<<<<<<<\n * src_stride == itemsize == dst_stride):\n * memcpy(dst_data, src_data, itemsize * dst_extent)\n */\n goto __pyx_L4;\n }\n\n /* \"View.MemoryView\":1153\n * memcpy(dst_data, src_data, itemsize * dst_extent)\n * else:\n * for i in range(dst_extent): # <<<<<<<<<<<<<<\n * memcpy(dst_data, src_data, itemsize)\n * src_data += src_stride\n */\n /*else*/ {\n __pyx_t_4 = __pyx_v_dst_extent;\n __pyx_t_5 = __pyx_t_4;\n for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {\n __pyx_v_i = __pyx_t_6;\n\n /* \"View.MemoryView\":1154\n * else:\n * for i in range(dst_extent):\n * memcpy(dst_data, src_data, itemsize) # <<<<<<<<<<<<<<\n * src_data += src_stride\n * dst_data += dst_stride\n */\n (void)(memcpy(__pyx_v_dst_data, __pyx_v_src_data, __pyx_v_itemsize));\n\n /* \"View.MemoryView\":1155\n * for i in range(dst_extent):\n * memcpy(dst_data, src_data, itemsize)\n * src_data += src_stride # <<<<<<<<<<<<<<\n * dst_data += dst_stride\n * else:\n */\n __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);\n\n /* \"View.MemoryView\":1156\n * memcpy(dst_data, src_data, itemsize)\n * src_data += src_stride\n * dst_data += dst_stride # <<<<<<<<<<<<<<\n * else:\n * for i in range(dst_extent):\n */\n __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);\n }\n }\n __pyx_L4:;\n\n /* \"View.MemoryView\":1148\n * cdef Py_ssize_t dst_stride = dst_strides[0]\n * \n * if ndim == 1: # <<<<<<<<<<<<<<\n * if (src_stride > 0 and dst_stride > 0 and\n * src_stride == itemsize == dst_stride):\n */\n goto __pyx_L3;\n }\n\n /* \"View.MemoryView\":1158\n * dst_data += dst_stride\n * else:\n * for i in range(dst_extent): # <<<<<<<<<<<<<<\n * _copy_strided_to_strided(src_data, src_strides + 1,\n * dst_data, dst_strides + 1,\n */\n /*else*/ {\n __pyx_t_4 = __pyx_v_dst_extent;\n __pyx_t_5 = __pyx_t_4;\n for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {\n __pyx_v_i = __pyx_t_6;\n\n /* \"View.MemoryView\":1159\n * else:\n * for i in range(dst_extent):\n * _copy_strided_to_strided(src_data, src_strides + 1, # <<<<<<<<<<<<<<\n * dst_data, dst_strides + 1,\n * src_shape + 1, dst_shape + 1,\n */\n _copy_strided_to_strided(__pyx_v_src_data, (__pyx_v_src_strides + 1), __pyx_v_dst_data, (__pyx_v_dst_strides + 1), (__pyx_v_src_shape + 1), (__pyx_v_dst_shape + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize);\n\n /* \"View.MemoryView\":1163\n * src_shape + 1, dst_shape + 1,\n * ndim - 1, itemsize)\n * src_data += src_stride # <<<<<<<<<<<<<<\n * dst_data += dst_stride\n * \n */\n __pyx_v_src_data = (__pyx_v_src_data + __pyx_v_src_stride);\n\n /* \"View.MemoryView\":1164\n * ndim - 1, itemsize)\n * src_data += src_stride\n * dst_data += dst_stride # <<<<<<<<<<<<<<\n * \n * cdef void copy_strided_to_strided(__Pyx_memviewslice *src,\n */\n __pyx_v_dst_data = (__pyx_v_dst_data + __pyx_v_dst_stride);\n }\n }\n __pyx_L3:;\n\n /* \"View.MemoryView\":1136\n * \n * @cython.cdivision(True)\n * cdef void _copy_strided_to_strided(char *src_data, Py_ssize_t *src_strides, # <<<<<<<<<<<<<<\n * char *dst_data, Py_ssize_t *dst_strides,\n * Py_ssize_t *src_shape, Py_ssize_t *dst_shape,\n */\n\n /* function exit code */\n}\n\n/* \"View.MemoryView\":1166\n * dst_data += dst_stride\n * \n * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<\n * __Pyx_memviewslice *dst,\n * int ndim, size_t itemsize) nogil:\n */\n\nstatic void copy_strided_to_strided(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_dst, int __pyx_v_ndim, size_t __pyx_v_itemsize) {\n\n /* \"View.MemoryView\":1169\n * __Pyx_memviewslice *dst,\n * int ndim, size_t itemsize) nogil:\n * _copy_strided_to_strided(src.data, src.strides, dst.data, dst.strides, # <<<<<<<<<<<<<<\n * src.shape, dst.shape, ndim, itemsize)\n * \n */\n _copy_strided_to_strided(__pyx_v_src->data, __pyx_v_src->strides, __pyx_v_dst->data, __pyx_v_dst->strides, __pyx_v_src->shape, __pyx_v_dst->shape, __pyx_v_ndim, __pyx_v_itemsize);\n\n /* \"View.MemoryView\":1166\n * dst_data += dst_stride\n * \n * cdef void copy_strided_to_strided(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<\n * __Pyx_memviewslice *dst,\n * int ndim, size_t itemsize) nogil:\n */\n\n /* function exit code */\n}\n\n/* \"View.MemoryView\":1173\n * \n * @cname('__pyx_memoryview_slice_get_size')\n * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<\n * \"Return the size of the memory occupied by the slice in number of bytes\"\n * cdef int i\n */\n\nstatic Py_ssize_t __pyx_memoryview_slice_get_size(__Pyx_memviewslice *__pyx_v_src, int __pyx_v_ndim) {\n int __pyx_v_i;\n Py_ssize_t __pyx_v_size;\n Py_ssize_t __pyx_r;\n Py_ssize_t __pyx_t_1;\n int __pyx_t_2;\n int __pyx_t_3;\n int __pyx_t_4;\n\n /* \"View.MemoryView\":1176\n * \"Return the size of the memory occupied by the slice in number of bytes\"\n * cdef int i\n * cdef Py_ssize_t size = src.memview.view.itemsize # <<<<<<<<<<<<<<\n * \n * for i in range(ndim):\n */\n __pyx_t_1 = __pyx_v_src->memview->view.itemsize;\n __pyx_v_size = __pyx_t_1;\n\n /* \"View.MemoryView\":1178\n * cdef Py_ssize_t size = src.memview.view.itemsize\n * \n * for i in range(ndim): # <<<<<<<<<<<<<<\n * size *= src.shape[i]\n * \n */\n __pyx_t_2 = __pyx_v_ndim;\n __pyx_t_3 = __pyx_t_2;\n for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {\n __pyx_v_i = __pyx_t_4;\n\n /* \"View.MemoryView\":1179\n * \n * for i in range(ndim):\n * size *= src.shape[i] # <<<<<<<<<<<<<<\n * \n * return size\n */\n __pyx_v_size = (__pyx_v_size * (__pyx_v_src->shape[__pyx_v_i]));\n }\n\n /* \"View.MemoryView\":1181\n * size *= src.shape[i]\n * \n * return size # <<<<<<<<<<<<<<\n * \n * @cname('__pyx_fill_contig_strides_array')\n */\n __pyx_r = __pyx_v_size;\n goto __pyx_L0;\n\n /* \"View.MemoryView\":1173\n * \n * @cname('__pyx_memoryview_slice_get_size')\n * cdef Py_ssize_t slice_get_size(__Pyx_memviewslice *src, int ndim) nogil: # <<<<<<<<<<<<<<\n * \"Return the size of the memory occupied by the slice in number of bytes\"\n * cdef int i\n */\n\n /* function exit code */\n __pyx_L0:;\n return __pyx_r;\n}\n\n/* \"View.MemoryView\":1184\n * \n * @cname('__pyx_fill_contig_strides_array')\n * cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<<\n * Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,\n * int ndim, char order) nogil:\n */\n\nstatic Py_ssize_t __pyx_fill_contig_strides_array(Py_ssize_t *__pyx_v_shape, Py_ssize_t *__pyx_v_strides, Py_ssize_t __pyx_v_stride, int __pyx_v_ndim, char __pyx_v_order) {\n int __pyx_v_idx;\n Py_ssize_t __pyx_r;\n int __pyx_t_1;\n int __pyx_t_2;\n int __pyx_t_3;\n int __pyx_t_4;\n\n /* \"View.MemoryView\":1193\n * cdef int idx\n * \n * if order == 'F': # <<<<<<<<<<<<<<\n * for idx in range(ndim):\n * strides[idx] = stride\n */\n __pyx_t_1 = ((__pyx_v_order == 'F') != 0);\n if (__pyx_t_1) {\n\n /* \"View.MemoryView\":1194\n * \n * if order == 'F':\n * for idx in range(ndim): # <<<<<<<<<<<<<<\n * strides[idx] = stride\n * stride = stride * shape[idx]\n */\n __pyx_t_2 = __pyx_v_ndim;\n __pyx_t_3 = __pyx_t_2;\n for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {\n __pyx_v_idx = __pyx_t_4;\n\n /* \"View.MemoryView\":1195\n * if order == 'F':\n * for idx in range(ndim):\n * strides[idx] = stride # <<<<<<<<<<<<<<\n * stride = stride * shape[idx]\n * else:\n */\n (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;\n\n /* \"View.MemoryView\":1196\n * for idx in range(ndim):\n * strides[idx] = stride\n * stride = stride * shape[idx] # <<<<<<<<<<<<<<\n * else:\n * for idx in range(ndim - 1, -1, -1):\n */\n __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));\n }\n\n /* \"View.MemoryView\":1193\n * cdef int idx\n * \n * if order == 'F': # <<<<<<<<<<<<<<\n * for idx in range(ndim):\n * strides[idx] = stride\n */\n goto __pyx_L3;\n }\n\n /* \"View.MemoryView\":1198\n * stride = stride * shape[idx]\n * else:\n * for idx in range(ndim - 1, -1, -1): # <<<<<<<<<<<<<<\n * strides[idx] = stride\n * stride = stride * shape[idx]\n */\n /*else*/ {\n for (__pyx_t_2 = (__pyx_v_ndim - 1); __pyx_t_2 > -1; __pyx_t_2-=1) {\n __pyx_v_idx = __pyx_t_2;\n\n /* \"View.MemoryView\":1199\n * else:\n * for idx in range(ndim - 1, -1, -1):\n * strides[idx] = stride # <<<<<<<<<<<<<<\n * stride = stride * shape[idx]\n * \n */\n (__pyx_v_strides[__pyx_v_idx]) = __pyx_v_stride;\n\n /* \"View.MemoryView\":1200\n * for idx in range(ndim - 1, -1, -1):\n * strides[idx] = stride\n * stride = stride * shape[idx] # <<<<<<<<<<<<<<\n * \n * return stride\n */\n __pyx_v_stride = (__pyx_v_stride * (__pyx_v_shape[__pyx_v_idx]));\n }\n }\n __pyx_L3:;\n\n /* \"View.MemoryView\":1202\n * stride = stride * shape[idx]\n * \n * return stride # <<<<<<<<<<<<<<\n * \n * @cname('__pyx_memoryview_copy_data_to_temp')\n */\n __pyx_r = __pyx_v_stride;\n goto __pyx_L0;\n\n /* \"View.MemoryView\":1184\n * \n * @cname('__pyx_fill_contig_strides_array')\n * cdef Py_ssize_t fill_contig_strides_array( # <<<<<<<<<<<<<<\n * Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t stride,\n * int ndim, char order) nogil:\n */\n\n /* function exit code */\n __pyx_L0:;\n return __pyx_r;\n}\n\n/* \"View.MemoryView\":1205\n * \n * @cname('__pyx_memoryview_copy_data_to_temp')\n * cdef void *copy_data_to_temp(__Pyx_memviewslice *src, # <<<<<<<<<<<<<<\n * __Pyx_memviewslice *tmpslice,\n * char order,\n */\n\nstatic void *__pyx_memoryview_copy_data_to_temp(__Pyx_memviewslice *__pyx_v_src, __Pyx_memviewslice *__pyx_v_tmpslice, char __pyx_v_order, int __pyx_v_ndim) {\n int __pyx_v_i;\n void *__pyx_v_result;\n size_t __pyx_v_itemsize;\n size_t __pyx_v_size;\n void *__pyx_r;\n Py_ssize_t __pyx_t_1;\n int __pyx_t_2;\n int __pyx_t_3;\n struct __pyx_memoryview_obj *__pyx_t_4;\n int __pyx_t_5;\n int __pyx_t_6;\n\n /* \"View.MemoryView\":1216\n * cdef void *result\n * \n * cdef size_t itemsize = src.memview.view.itemsize # <<<<<<<<<<<<<<\n * cdef size_t size = slice_get_size(src, ndim)\n * \n */\n __pyx_t_1 = __pyx_v_src->memview->view.itemsize;\n __pyx_v_itemsize = __pyx_t_1;\n\n /* \"View.MemoryView\":1217\n * \n * cdef size_t itemsize = src.memview.view.itemsize\n * cdef size_t size = slice_get_size(src, ndim) # <<<<<<<<<<<<<<\n * \n * result = malloc(size)\n */\n __pyx_v_size = __pyx_memoryview_slice_get_size(__pyx_v_src, __pyx_v_ndim);\n\n /* \"View.MemoryView\":1219\n * cdef size_t size = slice_get_size(src, ndim)\n * \n * result = malloc(size) # <<<<<<<<<<<<<<\n * if not result:\n * _err(MemoryError, NULL)\n */\n __pyx_v_result = malloc(__pyx_v_size);\n\n /* \"View.MemoryView\":1220\n * \n * result = malloc(size)\n * if not result: # <<<<<<<<<<<<<<\n * _err(MemoryError, NULL)\n * \n 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dst.shape[i], src.shape[i])\n * \n * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<<\n * _err_dim(ValueError, \"Dimension %d is not direct\", i)\n * \n */\n __pyx_t_2 = (((__pyx_v_src.suboffsets[__pyx_v_i]) >= 0) != 0);\n if (__pyx_t_2) {\n\n /* \"View.MemoryView\":1297\n * \n * if src.suboffsets[i] >= 0:\n * _err_dim(ValueError, \"Dimension %d is not direct\", i) # <<<<<<<<<<<<<<\n * \n * if slices_overlap(&src, &dst, ndim, itemsize):\n */\n __pyx_t_6 = __pyx_memoryview_err_dim(__pyx_builtin_ValueError, ((char *)\"Dimension %d is not direct\"), __pyx_v_i); if (unlikely(__pyx_t_6 == ((int)-1))) __PYX_ERR(1, 1297, __pyx_L1_error)\n\n /* \"View.MemoryView\":1296\n * _err_extents(i, dst.shape[i], src.shape[i])\n * \n * if src.suboffsets[i] >= 0: # <<<<<<<<<<<<<<\n * _err_dim(ValueError, \"Dimension %d is not direct\", i)\n * \n */\n }\n }\n\n /* \"View.MemoryView\":1299\n * _err_dim(ValueError, \"Dimension %d is not direct\", i)\n * \n * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<<\n * \n * if not slice_is_contig(src, order, ndim):\n */\n __pyx_t_2 = (__pyx_slices_overlap((&__pyx_v_src), (&__pyx_v_dst), __pyx_v_ndim, __pyx_v_itemsize) != 0);\n if (__pyx_t_2) {\n\n /* \"View.MemoryView\":1301\n * if slices_overlap(&src, &dst, ndim, itemsize):\n * \n * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<<\n * order = get_best_order(&dst, ndim)\n * \n */\n __pyx_t_2 = ((!(__pyx_memviewslice_is_contig(__pyx_v_src, __pyx_v_order, __pyx_v_ndim) != 0)) != 0);\n if (__pyx_t_2) {\n\n /* \"View.MemoryView\":1302\n * \n * if not slice_is_contig(src, order, ndim):\n * order = get_best_order(&dst, ndim) # <<<<<<<<<<<<<<\n * \n * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)\n */\n __pyx_v_order = __pyx_get_best_slice_order((&__pyx_v_dst), __pyx_v_ndim);\n\n /* \"View.MemoryView\":1301\n * if slices_overlap(&src, &dst, ndim, itemsize):\n * \n * if not slice_is_contig(src, order, ndim): # <<<<<<<<<<<<<<\n * order = get_best_order(&dst, ndim)\n * \n */\n }\n\n /* \"View.MemoryView\":1304\n * order = get_best_order(&dst, ndim)\n * \n * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim) # <<<<<<<<<<<<<<\n * src = tmp\n * \n */\n __pyx_t_7 = __pyx_memoryview_copy_data_to_temp((&__pyx_v_src), (&__pyx_v_tmp), __pyx_v_order, __pyx_v_ndim); if (unlikely(__pyx_t_7 == ((void *)NULL))) __PYX_ERR(1, 1304, __pyx_L1_error)\n __pyx_v_tmpdata = __pyx_t_7;\n\n /* \"View.MemoryView\":1305\n * \n * tmpdata = copy_data_to_temp(&src, &tmp, order, ndim)\n * src = tmp # <<<<<<<<<<<<<<\n * \n * if not broadcasting:\n */\n __pyx_v_src = __pyx_v_tmp;\n\n /* \"View.MemoryView\":1299\n * _err_dim(ValueError, \"Dimension %d is not direct\", i)\n * \n * if slices_overlap(&src, &dst, ndim, itemsize): # <<<<<<<<<<<<<<\n * \n * if not slice_is_contig(src, order, ndim):\n */\n }\n\n /* \"View.MemoryView\":1307\n * src = tmp\n * \n * if not broadcasting: # <<<<<<<<<<<<<<\n * \n * \n */\n __pyx_t_2 = ((!(__pyx_v_broadcasting != 0)) != 0);\n if (__pyx_t_2) {\n\n /* \"View.MemoryView\":1310\n * \n * \n * if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<<\n * direct_copy = slice_is_contig(dst, 'C', ndim)\n * elif slice_is_contig(src, 'F', ndim):\n */\n __pyx_t_2 = (__pyx_memviewslice_is_contig(__pyx_v_src, 'C', __pyx_v_ndim) != 0);\n if (__pyx_t_2) {\n\n /* \"View.MemoryView\":1311\n * \n * if slice_is_contig(src, 'C', ndim):\n * direct_copy = slice_is_contig(dst, 'C', ndim) # <<<<<<<<<<<<<<\n * elif slice_is_contig(src, 'F', ndim):\n * direct_copy = slice_is_contig(dst, 'F', ndim)\n */\n __pyx_v_direct_copy = __pyx_memviewslice_is_contig(__pyx_v_dst, 'C', __pyx_v_ndim);\n\n /* \"View.MemoryView\":1310\n * \n * \n * if slice_is_contig(src, 'C', ndim): # <<<<<<<<<<<<<<\n * direct_copy = slice_is_contig(dst, 'C', ndim)\n * elif slice_is_contig(src, 'F', ndim):\n */\n goto __pyx_L12;\n }\n\n /* \"View.MemoryView\":1312\n * if slice_is_contig(src, 'C', ndim):\n * direct_copy = slice_is_contig(dst, 'C', ndim)\n * elif slice_is_contig(src, 'F', 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\n * free(tmpdata) # <<<<<<<<<<<<<<\n * return 0\n * \n */\n free(__pyx_v_tmpdata);\n\n /* \"View.MemoryView\":1334\n * \n * free(tmpdata)\n * return 0 # <<<<<<<<<<<<<<\n * \n * @cname('__pyx_memoryview_broadcast_leading')\n */\n __pyx_r = 0;\n goto __pyx_L0;\n\n /* \"View.MemoryView\":1265\n * \n * @cname('__pyx_memoryview_copy_contents')\n * cdef int memoryview_copy_contents(__Pyx_memviewslice src, # <<<<<<<<<<<<<<\n * __Pyx_memviewslice dst,\n * int src_ndim, int dst_ndim,\n */\n\n /* function exit code */\n __pyx_L1_error:;\n {\n #ifdef WITH_THREAD\n PyGILState_STATE __pyx_gilstate_save = __Pyx_PyGILState_Ensure();\n #endif\n __Pyx_AddTraceback(\"View.MemoryView.memoryview_copy_contents\", __pyx_clineno, __pyx_lineno, __pyx_filename);\n #ifdef WITH_THREAD\n __Pyx_PyGILState_Release(__pyx_gilstate_save);\n #endif\n }\n __pyx_r = -1;\n __pyx_L0:;\n return __pyx_r;\n}\n\n/* \"View.MemoryView\":1337\n * \n * @cname('__pyx_memoryview_broadcast_leading')\n * cdef void 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offset] = mslice.suboffsets[i]\n * \n * for i in range(offset): # <<<<<<<<<<<<<<\n * mslice.shape[i] = 1\n * mslice.strides[i] = mslice.strides[0]\n */\n __pyx_t_1 = __pyx_v_offset;\n __pyx_t_2 = __pyx_t_1;\n for (__pyx_t_3 = 0; __pyx_t_3 < __pyx_t_2; __pyx_t_3+=1) {\n __pyx_v_i = __pyx_t_3;\n\n /* \"View.MemoryView\":1349\n * \n * for i in range(offset):\n * mslice.shape[i] = 1 # <<<<<<<<<<<<<<\n * mslice.strides[i] = mslice.strides[0]\n * mslice.suboffsets[i] = -1\n */\n (__pyx_v_mslice->shape[__pyx_v_i]) = 1;\n\n /* \"View.MemoryView\":1350\n * for i in range(offset):\n * mslice.shape[i] = 1\n * mslice.strides[i] = mslice.strides[0] # <<<<<<<<<<<<<<\n * mslice.suboffsets[i] = -1\n * \n */\n (__pyx_v_mslice->strides[__pyx_v_i]) = (__pyx_v_mslice->strides[0]);\n\n /* \"View.MemoryView\":1351\n * mslice.shape[i] = 1\n * mslice.strides[i] = mslice.strides[0]\n * mslice.suboffsets[i] = -1 # <<<<<<<<<<<<<<\n * \n * \n */\n (__pyx_v_mslice->suboffsets[__pyx_v_i]) = -1L;\n }\n\n /* 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shape[0] # <<<<<<<<<<<<<<\n * \n * if ndim == 1:\n */\n __pyx_v_extent = (__pyx_v_shape[0]);\n\n /* \"View.MemoryView\":1411\n * cdef Py_ssize_t extent = shape[0]\n * \n * if ndim == 1: # <<<<<<<<<<<<<<\n * for i in range(extent):\n * memcpy(data, item, itemsize)\n */\n __pyx_t_1 = ((__pyx_v_ndim == 1) != 0);\n if (__pyx_t_1) {\n\n /* \"View.MemoryView\":1412\n * \n * if ndim == 1:\n * for i in range(extent): # <<<<<<<<<<<<<<\n * memcpy(data, item, itemsize)\n * data += stride\n */\n __pyx_t_2 = __pyx_v_extent;\n __pyx_t_3 = __pyx_t_2;\n for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {\n __pyx_v_i = __pyx_t_4;\n\n /* \"View.MemoryView\":1413\n * if ndim == 1:\n * for i in range(extent):\n * memcpy(data, item, itemsize) # <<<<<<<<<<<<<<\n * data += stride\n * else:\n */\n (void)(memcpy(__pyx_v_data, __pyx_v_item, __pyx_v_itemsize));\n\n /* \"View.MemoryView\":1414\n * for i in range(extent):\n * memcpy(data, item, itemsize)\n * data += stride # <<<<<<<<<<<<<<\n * else:\n * for i in range(extent):\n */\n __pyx_v_data = (__pyx_v_data + __pyx_v_stride);\n }\n\n /* \"View.MemoryView\":1411\n * cdef Py_ssize_t extent = shape[0]\n * \n * if ndim == 1: # <<<<<<<<<<<<<<\n * for i in range(extent):\n * memcpy(data, item, itemsize)\n */\n goto __pyx_L3;\n }\n\n /* \"View.MemoryView\":1416\n * data += stride\n * else:\n * for i in range(extent): # <<<<<<<<<<<<<<\n * _slice_assign_scalar(data, shape + 1, strides + 1,\n * ndim - 1, itemsize, item)\n */\n /*else*/ {\n __pyx_t_2 = __pyx_v_extent;\n __pyx_t_3 = __pyx_t_2;\n for (__pyx_t_4 = 0; __pyx_t_4 < __pyx_t_3; __pyx_t_4+=1) {\n __pyx_v_i = __pyx_t_4;\n\n /* \"View.MemoryView\":1417\n * else:\n * for i in range(extent):\n * _slice_assign_scalar(data, shape + 1, strides + 1, # <<<<<<<<<<<<<<\n * ndim - 1, itemsize, item)\n * data += stride\n */\n __pyx_memoryview__slice_assign_scalar(__pyx_v_data, (__pyx_v_shape + 1), (__pyx_v_strides + 1), (__pyx_v_ndim - 1), __pyx_v_itemsize, __pyx_v_item);\n\n /* 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/*sq_ass_slice*/\n 0, /*sq_contains*/\n 0, /*sq_inplace_concat*/\n 0, /*sq_inplace_repeat*/\n};\n\nstatic PyMappingMethods __pyx_tp_as_mapping_array = {\n __pyx_array___len__, /*mp_length*/\n __pyx_array___getitem__, /*mp_subscript*/\n __pyx_mp_ass_subscript_array, /*mp_ass_subscript*/\n};\n\nstatic PyBufferProcs __pyx_tp_as_buffer_array = {\n #if PY_MAJOR_VERSION < 3\n 0, /*bf_getreadbuffer*/\n #endif\n #if PY_MAJOR_VERSION < 3\n 0, /*bf_getwritebuffer*/\n #endif\n #if PY_MAJOR_VERSION < 3\n 0, /*bf_getsegcount*/\n #endif\n #if PY_MAJOR_VERSION < 3\n 0, /*bf_getcharbuffer*/\n #endif\n __pyx_array_getbuffer, /*bf_getbuffer*/\n 0, /*bf_releasebuffer*/\n};\n\nstatic PyTypeObject __pyx_type___pyx_array = {\n PyVarObject_HEAD_INIT(0, 0)\n \"math.array\", /*tp_name*/\n sizeof(struct __pyx_array_obj), /*tp_basicsize*/\n 0, /*tp_itemsize*/\n __pyx_tp_dealloc_array, /*tp_dealloc*/\n 0, /*tp_print*/\n 0, /*tp_getattr*/\n 0, /*tp_setattr*/\n #if PY_MAJOR_VERSION < 3\n 0, /*tp_compare*/\n #endif\n #if PY_MAJOR_VERSION >= 3\n 0, /*tp_as_async*/\n #endif\n 0, /*tp_repr*/\n 0, /*tp_as_number*/\n &__pyx_tp_as_sequence_array, /*tp_as_sequence*/\n &__pyx_tp_as_mapping_array, /*tp_as_mapping*/\n 0, /*tp_hash*/\n 0, /*tp_call*/\n 0, /*tp_str*/\n __pyx_tp_getattro_array, /*tp_getattro*/\n 0, /*tp_setattro*/\n &__pyx_tp_as_buffer_array, /*tp_as_buffer*/\n Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/\n 0, /*tp_doc*/\n 0, /*tp_traverse*/\n 0, /*tp_clear*/\n 0, /*tp_richcompare*/\n 0, /*tp_weaklistoffset*/\n 0, /*tp_iter*/\n 0, /*tp_iternext*/\n __pyx_methods_array, /*tp_methods*/\n 0, /*tp_members*/\n __pyx_getsets_array, /*tp_getset*/\n 0, /*tp_base*/\n 0, /*tp_dict*/\n 0, /*tp_descr_get*/\n 0, /*tp_descr_set*/\n 0, /*tp_dictoffset*/\n 0, /*tp_init*/\n 0, /*tp_alloc*/\n __pyx_tp_new_array, /*tp_new*/\n 0, /*tp_free*/\n 0, /*tp_is_gc*/\n 0, /*tp_bases*/\n 0, /*tp_mro*/\n 0, /*tp_cache*/\n 0, /*tp_subclasses*/\n 0, /*tp_weaklist*/\n 0, /*tp_del*/\n 0, /*tp_version_tag*/\n #if PY_VERSION_HEX >= 0x030400a1\n 0, /*tp_finalize*/\n #endif\n};\n\nstatic PyObject *__pyx_tp_new_Enum(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {\n struct __pyx_MemviewEnum_obj *p;\n PyObject *o;\n if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {\n o = (*t->tp_alloc)(t, 0);\n } else {\n o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);\n }\n if (unlikely(!o)) return 0;\n p = ((struct __pyx_MemviewEnum_obj *)o);\n p->name = Py_None; Py_INCREF(Py_None);\n return o;\n}\n\nstatic void __pyx_tp_dealloc_Enum(PyObject *o) {\n struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;\n #if CYTHON_USE_TP_FINALIZE\n if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {\n if (PyObject_CallFinalizerFromDealloc(o)) return;\n }\n #endif\n PyObject_GC_UnTrack(o);\n Py_CLEAR(p->name);\n (*Py_TYPE(o)->tp_free)(o);\n}\n\nstatic int __pyx_tp_traverse_Enum(PyObject *o, visitproc v, void *a) {\n int e;\n struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;\n if (p->name) {\n e = (*v)(p->name, a); if (e) return e;\n }\n return 0;\n}\n\nstatic int __pyx_tp_clear_Enum(PyObject *o) {\n PyObject* tmp;\n struct __pyx_MemviewEnum_obj *p = (struct __pyx_MemviewEnum_obj *)o;\n tmp = ((PyObject*)p->name);\n p->name = Py_None; Py_INCREF(Py_None);\n Py_XDECREF(tmp);\n return 0;\n}\n\nstatic PyMethodDef __pyx_methods_Enum[] = {\n {\"__reduce_cython__\", (PyCFunction)__pyx_pw___pyx_MemviewEnum_1__reduce_cython__, METH_NOARGS, 0},\n {\"__setstate_cython__\", (PyCFunction)__pyx_pw___pyx_MemviewEnum_3__setstate_cython__, METH_O, 0},\n {0, 0, 0, 0}\n};\n\nstatic PyTypeObject __pyx_type___pyx_MemviewEnum = {\n PyVarObject_HEAD_INIT(0, 0)\n \"math.Enum\", /*tp_name*/\n sizeof(struct __pyx_MemviewEnum_obj), /*tp_basicsize*/\n 0, /*tp_itemsize*/\n __pyx_tp_dealloc_Enum, /*tp_dealloc*/\n 0, /*tp_print*/\n 0, /*tp_getattr*/\n 0, /*tp_setattr*/\n #if PY_MAJOR_VERSION < 3\n 0, /*tp_compare*/\n #endif\n #if PY_MAJOR_VERSION >= 3\n 0, /*tp_as_async*/\n #endif\n __pyx_MemviewEnum___repr__, /*tp_repr*/\n 0, /*tp_as_number*/\n 0, /*tp_as_sequence*/\n 0, /*tp_as_mapping*/\n 0, /*tp_hash*/\n 0, /*tp_call*/\n 0, /*tp_str*/\n 0, /*tp_getattro*/\n 0, /*tp_setattro*/\n 0, /*tp_as_buffer*/\n Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/\n 0, /*tp_doc*/\n __pyx_tp_traverse_Enum, /*tp_traverse*/\n __pyx_tp_clear_Enum, /*tp_clear*/\n 0, /*tp_richcompare*/\n 0, /*tp_weaklistoffset*/\n 0, /*tp_iter*/\n 0, /*tp_iternext*/\n __pyx_methods_Enum, /*tp_methods*/\n 0, /*tp_members*/\n 0, /*tp_getset*/\n 0, /*tp_base*/\n 0, /*tp_dict*/\n 0, /*tp_descr_get*/\n 0, /*tp_descr_set*/\n 0, /*tp_dictoffset*/\n __pyx_MemviewEnum___init__, /*tp_init*/\n 0, /*tp_alloc*/\n __pyx_tp_new_Enum, /*tp_new*/\n 0, /*tp_free*/\n 0, /*tp_is_gc*/\n 0, /*tp_bases*/\n 0, /*tp_mro*/\n 0, /*tp_cache*/\n 0, /*tp_subclasses*/\n 0, /*tp_weaklist*/\n 0, /*tp_del*/\n 0, /*tp_version_tag*/\n #if PY_VERSION_HEX >= 0x030400a1\n 0, /*tp_finalize*/\n #endif\n};\nstatic struct __pyx_vtabstruct_memoryview __pyx_vtable_memoryview;\n\nstatic PyObject *__pyx_tp_new_memoryview(PyTypeObject *t, PyObject *a, PyObject *k) {\n struct __pyx_memoryview_obj *p;\n PyObject *o;\n if (likely((t->tp_flags & Py_TPFLAGS_IS_ABSTRACT) == 0)) {\n o = (*t->tp_alloc)(t, 0);\n } else {\n o = (PyObject *) PyBaseObject_Type.tp_new(t, __pyx_empty_tuple, 0);\n }\n if (unlikely(!o)) return 0;\n p = ((struct __pyx_memoryview_obj *)o);\n p->__pyx_vtab = __pyx_vtabptr_memoryview;\n p->obj = Py_None; Py_INCREF(Py_None);\n p->_size = Py_None; Py_INCREF(Py_None);\n p->_array_interface = Py_None; Py_INCREF(Py_None);\n p->view.obj = NULL;\n if (unlikely(__pyx_memoryview___cinit__(o, a, k) < 0)) goto bad;\n return o;\n bad:\n Py_DECREF(o); o = 0;\n return NULL;\n}\n\nstatic void __pyx_tp_dealloc_memoryview(PyObject *o) {\n struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;\n #if CYTHON_USE_TP_FINALIZE\n if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {\n if (PyObject_CallFinalizerFromDealloc(o)) return;\n }\n #endif\n PyObject_GC_UnTrack(o);\n {\n PyObject *etype, *eval, *etb;\n PyErr_Fetch(&etype, &eval, &etb);\n ++Py_REFCNT(o);\n __pyx_memoryview___dealloc__(o);\n --Py_REFCNT(o);\n PyErr_Restore(etype, eval, etb);\n }\n Py_CLEAR(p->obj);\n Py_CLEAR(p->_size);\n Py_CLEAR(p->_array_interface);\n (*Py_TYPE(o)->tp_free)(o);\n}\n\nstatic int __pyx_tp_traverse_memoryview(PyObject *o, visitproc v, void *a) {\n int e;\n struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;\n if (p->obj) {\n e = (*v)(p->obj, a); if (e) return e;\n }\n if (p->_size) {\n e = (*v)(p->_size, a); if (e) return e;\n }\n if (p->_array_interface) {\n e = (*v)(p->_array_interface, a); if (e) return e;\n }\n if (p->view.obj) {\n e = (*v)(p->view.obj, a); if (e) return e;\n }\n return 0;\n}\n\nstatic int __pyx_tp_clear_memoryview(PyObject *o) {\n PyObject* tmp;\n struct __pyx_memoryview_obj *p = (struct __pyx_memoryview_obj *)o;\n tmp = ((PyObject*)p->obj);\n p->obj = Py_None; Py_INCREF(Py_None);\n Py_XDECREF(tmp);\n tmp = ((PyObject*)p->_size);\n p->_size = Py_None; Py_INCREF(Py_None);\n Py_XDECREF(tmp);\n tmp = ((PyObject*)p->_array_interface);\n p->_array_interface = Py_None; Py_INCREF(Py_None);\n Py_XDECREF(tmp);\n Py_CLEAR(p->view.obj);\n return 0;\n}\nstatic PyObject *__pyx_sq_item_memoryview(PyObject *o, Py_ssize_t i) {\n PyObject *r;\n PyObject *x = PyInt_FromSsize_t(i); if(!x) return 0;\n r = Py_TYPE(o)->tp_as_mapping->mp_subscript(o, x);\n Py_DECREF(x);\n return r;\n}\n\nstatic int __pyx_mp_ass_subscript_memoryview(PyObject *o, PyObject *i, PyObject *v) {\n if (v) {\n return __pyx_memoryview___setitem__(o, i, v);\n }\n else {\n PyErr_Format(PyExc_NotImplementedError,\n \"Subscript deletion not supported by %.200s\", Py_TYPE(o)->tp_name);\n return -1;\n }\n}\n\nstatic PyObject *__pyx_getprop___pyx_memoryview_T(PyObject *o, CYTHON_UNUSED void *x) {\n return __pyx_pw_15View_dot_MemoryView_10memoryview_1T_1__get__(o);\n}\n\nstatic PyObject *__pyx_getprop___pyx_memoryview_base(PyObject *o, CYTHON_UNUSED void *x) {\n return __pyx_pw_15View_dot_MemoryView_10memoryview_4base_1__get__(o);\n}\n\nstatic PyObject *__pyx_getprop___pyx_memoryview_shape(PyObject *o, CYTHON_UNUSED void *x) {\n return __pyx_pw_15View_dot_MemoryView_10memoryview_5shape_1__get__(o);\n}\n\nstatic PyObject *__pyx_getprop___pyx_memoryview_strides(PyObject *o, CYTHON_UNUSED void *x) {\n return __pyx_pw_15View_dot_MemoryView_10memoryview_7strides_1__get__(o);\n}\n\nstatic PyObject *__pyx_getprop___pyx_memoryview_suboffsets(PyObject *o, CYTHON_UNUSED void *x) {\n return __pyx_pw_15View_dot_MemoryView_10memoryview_10suboffsets_1__get__(o);\n}\n\nstatic PyObject *__pyx_getprop___pyx_memoryview_ndim(PyObject *o, CYTHON_UNUSED void *x) {\n return __pyx_pw_15View_dot_MemoryView_10memoryview_4ndim_1__get__(o);\n}\n\nstatic PyObject *__pyx_getprop___pyx_memoryview_itemsize(PyObject *o, CYTHON_UNUSED void *x) {\n return __pyx_pw_15View_dot_MemoryView_10memoryview_8itemsize_1__get__(o);\n}\n\nstatic PyObject *__pyx_getprop___pyx_memoryview_nbytes(PyObject *o, CYTHON_UNUSED void *x) {\n return __pyx_pw_15View_dot_MemoryView_10memoryview_6nbytes_1__get__(o);\n}\n\nstatic PyObject *__pyx_getprop___pyx_memoryview_size(PyObject *o, CYTHON_UNUSED void *x) {\n return __pyx_pw_15View_dot_MemoryView_10memoryview_4size_1__get__(o);\n}\n\nstatic PyMethodDef __pyx_methods_memoryview[] = {\n {\"is_c_contig\", (PyCFunction)__pyx_memoryview_is_c_contig, METH_NOARGS, 0},\n {\"is_f_contig\", (PyCFunction)__pyx_memoryview_is_f_contig, METH_NOARGS, 0},\n {\"copy\", (PyCFunction)__pyx_memoryview_copy, METH_NOARGS, 0},\n {\"copy_fortran\", (PyCFunction)__pyx_memoryview_copy_fortran, METH_NOARGS, 0},\n {\"__reduce_cython__\", (PyCFunction)__pyx_pw___pyx_memoryview_1__reduce_cython__, METH_NOARGS, 0},\n {\"__setstate_cython__\", (PyCFunction)__pyx_pw___pyx_memoryview_3__setstate_cython__, METH_O, 0},\n {0, 0, 0, 0}\n};\n\nstatic struct PyGetSetDef __pyx_getsets_memoryview[] = {\n {(char *)\"T\", __pyx_getprop___pyx_memoryview_T, 0, (char *)0, 0},\n {(char *)\"base\", __pyx_getprop___pyx_memoryview_base, 0, (char *)0, 0},\n {(char *)\"shape\", __pyx_getprop___pyx_memoryview_shape, 0, (char *)0, 0},\n {(char *)\"strides\", __pyx_getprop___pyx_memoryview_strides, 0, (char *)0, 0},\n {(char *)\"suboffsets\", __pyx_getprop___pyx_memoryview_suboffsets, 0, (char *)0, 0},\n {(char *)\"ndim\", __pyx_getprop___pyx_memoryview_ndim, 0, (char *)0, 0},\n {(char *)\"itemsize\", __pyx_getprop___pyx_memoryview_itemsize, 0, (char *)0, 0},\n {(char *)\"nbytes\", __pyx_getprop___pyx_memoryview_nbytes, 0, (char *)0, 0},\n {(char *)\"size\", __pyx_getprop___pyx_memoryview_size, 0, (char *)0, 0},\n {0, 0, 0, 0, 0}\n};\n\nstatic PySequenceMethods __pyx_tp_as_sequence_memoryview = {\n __pyx_memoryview___len__, /*sq_length*/\n 0, /*sq_concat*/\n 0, /*sq_repeat*/\n __pyx_sq_item_memoryview, /*sq_item*/\n 0, /*sq_slice*/\n 0, /*sq_ass_item*/\n 0, /*sq_ass_slice*/\n 0, /*sq_contains*/\n 0, /*sq_inplace_concat*/\n 0, /*sq_inplace_repeat*/\n};\n\nstatic PyMappingMethods __pyx_tp_as_mapping_memoryview = {\n __pyx_memoryview___len__, /*mp_length*/\n __pyx_memoryview___getitem__, /*mp_subscript*/\n __pyx_mp_ass_subscript_memoryview, /*mp_ass_subscript*/\n};\n\nstatic PyBufferProcs __pyx_tp_as_buffer_memoryview = {\n #if PY_MAJOR_VERSION < 3\n 0, /*bf_getreadbuffer*/\n #endif\n #if PY_MAJOR_VERSION < 3\n 0, /*bf_getwritebuffer*/\n #endif\n #if PY_MAJOR_VERSION < 3\n 0, /*bf_getsegcount*/\n #endif\n #if PY_MAJOR_VERSION < 3\n 0, /*bf_getcharbuffer*/\n #endif\n __pyx_memoryview_getbuffer, /*bf_getbuffer*/\n 0, /*bf_releasebuffer*/\n};\n\nstatic PyTypeObject __pyx_type___pyx_memoryview = {\n PyVarObject_HEAD_INIT(0, 0)\n \"math.memoryview\", /*tp_name*/\n sizeof(struct __pyx_memoryview_obj), /*tp_basicsize*/\n 0, /*tp_itemsize*/\n __pyx_tp_dealloc_memoryview, /*tp_dealloc*/\n 0, /*tp_print*/\n 0, /*tp_getattr*/\n 0, /*tp_setattr*/\n #if PY_MAJOR_VERSION < 3\n 0, /*tp_compare*/\n #endif\n #if PY_MAJOR_VERSION >= 3\n 0, /*tp_as_async*/\n #endif\n __pyx_memoryview___repr__, /*tp_repr*/\n 0, /*tp_as_number*/\n &__pyx_tp_as_sequence_memoryview, /*tp_as_sequence*/\n &__pyx_tp_as_mapping_memoryview, /*tp_as_mapping*/\n 0, /*tp_hash*/\n 0, /*tp_call*/\n __pyx_memoryview___str__, /*tp_str*/\n 0, /*tp_getattro*/\n 0, /*tp_setattro*/\n &__pyx_tp_as_buffer_memoryview, /*tp_as_buffer*/\n Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE|Py_TPFLAGS_HAVE_GC, /*tp_flags*/\n 0, /*tp_doc*/\n __pyx_tp_traverse_memoryview, /*tp_traverse*/\n __pyx_tp_clear_memoryview, /*tp_clear*/\n 0, /*tp_richcompare*/\n 0, /*tp_weaklistoffset*/\n 0, /*tp_iter*/\n 0, /*tp_iternext*/\n __pyx_methods_memoryview, /*tp_methods*/\n 0, /*tp_members*/\n __pyx_getsets_memoryview, /*tp_getset*/\n 0, /*tp_base*/\n 0, /*tp_dict*/\n 0, /*tp_descr_get*/\n 0, /*tp_descr_set*/\n 0, /*tp_dictoffset*/\n 0, /*tp_init*/\n 0, /*tp_alloc*/\n __pyx_tp_new_memoryview, /*tp_new*/\n 0, /*tp_free*/\n 0, /*tp_is_gc*/\n 0, /*tp_bases*/\n 0, /*tp_mro*/\n 0, /*tp_cache*/\n 0, /*tp_subclasses*/\n 0, /*tp_weaklist*/\n 0, /*tp_del*/\n 0, /*tp_version_tag*/\n #if PY_VERSION_HEX >= 0x030400a1\n 0, /*tp_finalize*/\n #endif\n};\nstatic struct __pyx_vtabstruct__memoryviewslice __pyx_vtable__memoryviewslice;\n\nstatic PyObject *__pyx_tp_new__memoryviewslice(PyTypeObject *t, PyObject *a, PyObject *k) {\n struct __pyx_memoryviewslice_obj *p;\n PyObject *o = __pyx_tp_new_memoryview(t, a, k);\n if (unlikely(!o)) return 0;\n p = ((struct __pyx_memoryviewslice_obj *)o);\n p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_memoryview*)__pyx_vtabptr__memoryviewslice;\n p->from_object = Py_None; Py_INCREF(Py_None);\n p->from_slice.memview = NULL;\n return o;\n}\n\nstatic void __pyx_tp_dealloc__memoryviewslice(PyObject *o) {\n struct __pyx_memoryviewslice_obj *p = (struct __pyx_memoryviewslice_obj *)o;\n #if CYTHON_USE_TP_FINALIZE\n if (unlikely(PyType_HasFeature(Py_TYPE(o), Py_TPFLAGS_HAVE_FINALIZE) && Py_TYPE(o)->tp_finalize) && !_PyGC_FINALIZED(o)) {\n if (PyObject_CallFinalizerFromDealloc(o)) return;\n }\n #endif\n PyObject_GC_UnTrack(o);\n {\n PyObject *etype, *eval, *etb;\n PyErr_Fetch(&etype, &eval, &etb);\n ++Py_REFCNT(o);\n __pyx_memoryviewslice___dealloc__(o);\n --Py_REFCNT(o);\n PyErr_Restore(etype, eval, etb);\n }\n Py_CLEAR(p->from_object);\n PyObject_GC_Track(o);\n __pyx_tp_dealloc_memoryview(o);\n}\n\nstatic int __pyx_tp_traverse__memoryviewslice(PyObject *o, visitproc v, void *a) {\n int e;\n 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__PYX_ERR(1, 292, __pyx_L1_error)\n __Pyx_GOTREF(__pyx_t_2);\n __Pyx_XGOTREF(indirect_contiguous);\n __Pyx_DECREF_SET(indirect_contiguous, __pyx_t_2);\n __Pyx_GIVEREF(__pyx_t_2);\n __pyx_t_2 = 0;\n\n /* \"View.MemoryView\":316\n * \n * DEF THREAD_LOCKS_PREALLOCATED = 8\n * cdef int __pyx_memoryview_thread_locks_used = 0 # <<<<<<<<<<<<<<\n * cdef PyThread_type_lock[THREAD_LOCKS_PREALLOCATED] __pyx_memoryview_thread_locks = [\n * PyThread_allocate_lock(),\n */\n __pyx_memoryview_thread_locks_used = 0;\n\n /* \"View.MemoryView\":317\n * DEF THREAD_LOCKS_PREALLOCATED = 8\n * cdef int __pyx_memoryview_thread_locks_used = 0\n * cdef PyThread_type_lock[THREAD_LOCKS_PREALLOCATED] __pyx_memoryview_thread_locks = [ # <<<<<<<<<<<<<<\n * PyThread_allocate_lock(),\n * PyThread_allocate_lock(),\n */\n __pyx_t_3[0] = PyThread_allocate_lock();\n __pyx_t_3[1] = PyThread_allocate_lock();\n __pyx_t_3[2] = PyThread_allocate_lock();\n __pyx_t_3[3] = PyThread_allocate_lock();\n __pyx_t_3[4] = PyThread_allocate_lock();\n __pyx_t_3[5] = PyThread_allocate_lock();\n __pyx_t_3[6] = PyThread_allocate_lock();\n __pyx_t_3[7] = PyThread_allocate_lock();\n memcpy(&(__pyx_memoryview_thread_locks[0]), __pyx_t_3, sizeof(__pyx_memoryview_thread_locks[0]) * (8));\n\n /* \"View.MemoryView\":545\n * info.obj = self\n * \n * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, \"getbuffer(obj, view, flags)\") # <<<<<<<<<<<<<<\n * \n * \n */\n __pyx_t_2 = __pyx_capsule_create(((void *)(&__pyx_memoryview_getbuffer)), ((char *)\"getbuffer(obj, view, flags)\")); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 545, __pyx_L1_error)\n __Pyx_GOTREF(__pyx_t_2);\n if (PyDict_SetItem((PyObject *)__pyx_memoryview_type->tp_dict, __pyx_n_s_pyx_getbuffer, __pyx_t_2) < 0) __PYX_ERR(1, 545, __pyx_L1_error)\n __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;\n PyType_Modified(__pyx_memoryview_type);\n\n /* \"View.MemoryView\":991\n * return self.from_object\n * \n * __pyx_getbuffer = capsule( &__pyx_memoryview_getbuffer, \"getbuffer(obj, view, flags)\") # <<<<<<<<<<<<<<\n * \n * \n */\n __pyx_t_2 = __pyx_capsule_create(((void *)(&__pyx_memoryview_getbuffer)), ((char *)\"getbuffer(obj, view, flags)\")); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 991, __pyx_L1_error)\n __Pyx_GOTREF(__pyx_t_2);\n if (PyDict_SetItem((PyObject *)__pyx_memoryviewslice_type->tp_dict, __pyx_n_s_pyx_getbuffer, __pyx_t_2) < 0) __PYX_ERR(1, 991, __pyx_L1_error)\n __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;\n PyType_Modified(__pyx_memoryviewslice_type);\n\n /* \"(tree fragment)\":1\n * def __pyx_unpickle_Enum(__pyx_type, long __pyx_checksum, __pyx_state): # <<<<<<<<<<<<<<\n * cdef object __pyx_PickleError\n * cdef object __pyx_result\n */\n __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_15View_dot_MemoryView_1__pyx_unpickle_Enum, NULL, __pyx_n_s_View_MemoryView); if (unlikely(!__pyx_t_2)) __PYX_ERR(1, 1, __pyx_L1_error)\n __Pyx_GOTREF(__pyx_t_2);\n if (PyDict_SetItem(__pyx_d, __pyx_n_s_pyx_unpickle_Enum, __pyx_t_2) < 0) __PYX_ERR(1, 1, __pyx_L1_error)\n __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;\n\n /* \"(tree fragment)\":11\n * __pyx_unpickle_Enum__set_state( __pyx_result, __pyx_state)\n * return __pyx_result\n * cdef __pyx_unpickle_Enum__set_state(Enum __pyx_result, tuple __pyx_state): # <<<<<<<<<<<<<<\n * __pyx_result.name = __pyx_state[0]\n * if len(__pyx_state) > 1 and hasattr(__pyx_result, '__dict__'):\n */\n\n /*--- Wrapped vars code ---*/\n\n goto __pyx_L0;\n __pyx_L1_error:;\n __Pyx_XDECREF(__pyx_t_1);\n __Pyx_XDECREF(__pyx_t_2);\n if (__pyx_m) {\n if (__pyx_d) {\n __Pyx_AddTraceback(\"init math\", __pyx_clineno, __pyx_lineno, __pyx_filename);\n }\n Py_CLEAR(__pyx_m);\n } else if (!PyErr_Occurred()) {\n PyErr_SetString(PyExc_ImportError, \"init math\");\n }\n __pyx_L0:;\n __Pyx_RefNannyFinishContext();\n #if CYTHON_PEP489_MULTI_PHASE_INIT\n return (__pyx_m != NULL) ? 0 : -1;\n #elif PY_MAJOR_VERSION >= 3\n return __pyx_m;\n #else\n return;\n #endif\n}\n\n/* --- Runtime support code --- */\n/* Refnanny */\n#if CYTHON_REFNANNY\nstatic __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) {\n PyObject *m = NULL, *p = NULL;\n void *r = NULL;\n m = PyImport_ImportModule(modname);\n if (!m) goto end;\n p = PyObject_GetAttrString(m, \"RefNannyAPI\");\n if (!p) goto end;\n r = PyLong_AsVoidPtr(p);\nend:\n Py_XDECREF(p);\n Py_XDECREF(m);\n return (__Pyx_RefNannyAPIStruct *)r;\n}\n#endif\n\n/* PyObjectGetAttrStr */\n#if CYTHON_USE_TYPE_SLOTS\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) {\n PyTypeObject* tp = Py_TYPE(obj);\n if (likely(tp->tp_getattro))\n return tp->tp_getattro(obj, attr_name);\n#if PY_MAJOR_VERSION < 3\n if (likely(tp->tp_getattr))\n return tp->tp_getattr(obj, PyString_AS_STRING(attr_name));\n#endif\n return PyObject_GetAttr(obj, attr_name);\n}\n#endif\n\n/* GetBuiltinName */\nstatic PyObject *__Pyx_GetBuiltinName(PyObject *name) {\n PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name);\n if (unlikely(!result)) {\n PyErr_Format(PyExc_NameError,\n#if PY_MAJOR_VERSION >= 3\n \"name '%U' is not defined\", name);\n#else\n \"name '%.200s' is not defined\", PyString_AS_STRING(name));\n#endif\n }\n return result;\n}\n\n/* RaiseDoubleKeywords */\nstatic void __Pyx_RaiseDoubleKeywordsError(\n const char* func_name,\n PyObject* kw_name)\n{\n PyErr_Format(PyExc_TypeError,\n #if PY_MAJOR_VERSION >= 3\n \"%s() got multiple values for keyword argument '%U'\", func_name, kw_name);\n #else\n \"%s() got multiple values for keyword argument '%s'\", func_name,\n PyString_AsString(kw_name));\n #endif\n}\n\n/* ParseKeywords */\nstatic int __Pyx_ParseOptionalKeywords(\n PyObject *kwds,\n PyObject **argnames[],\n PyObject *kwds2,\n PyObject *values[],\n Py_ssize_t num_pos_args,\n const char* function_name)\n{\n PyObject *key = 0, *value = 0;\n Py_ssize_t pos = 0;\n PyObject*** name;\n PyObject*** first_kw_arg = argnames + num_pos_args;\n while (PyDict_Next(kwds, &pos, &key, &value)) {\n name = first_kw_arg;\n while (*name && (**name != key)) name++;\n if (*name) {\n values[name-argnames] = value;\n continue;\n }\n name = first_kw_arg;\n #if PY_MAJOR_VERSION < 3\n if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) {\n while (*name) {\n if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key))\n && _PyString_Eq(**name, key)) {\n values[name-argnames] = value;\n break;\n }\n name++;\n }\n if (*name) continue;\n else {\n PyObject*** argname = argnames;\n while (argname != first_kw_arg) {\n if ((**argname == key) || (\n (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key))\n && _PyString_Eq(**argname, key))) {\n goto arg_passed_twice;\n }\n argname++;\n }\n }\n } else\n #endif\n if (likely(PyUnicode_Check(key))) {\n while (*name) {\n int cmp = (**name == key) ? 0 :\n #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3\n (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :\n #endif\n PyUnicode_Compare(**name, key);\n if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;\n if (cmp == 0) {\n values[name-argnames] = value;\n break;\n }\n name++;\n }\n if (*name) continue;\n else {\n PyObject*** argname = argnames;\n while (argname != first_kw_arg) {\n int cmp = (**argname == key) ? 0 :\n #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3\n (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :\n #endif\n PyUnicode_Compare(**argname, key);\n if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;\n if (cmp == 0) goto arg_passed_twice;\n argname++;\n }\n }\n } else\n goto invalid_keyword_type;\n if (kwds2) {\n if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;\n } else {\n goto invalid_keyword;\n }\n }\n return 0;\narg_passed_twice:\n __Pyx_RaiseDoubleKeywordsError(function_name, key);\n goto bad;\ninvalid_keyword_type:\n PyErr_Format(PyExc_TypeError,\n \"%.200s() keywords must be strings\", function_name);\n goto bad;\ninvalid_keyword:\n PyErr_Format(PyExc_TypeError,\n #if PY_MAJOR_VERSION < 3\n \"%.200s() got an unexpected keyword argument '%.200s'\",\n function_name, PyString_AsString(key));\n #else\n \"%s() got an unexpected keyword argument '%U'\",\n function_name, key);\n #endif\nbad:\n return -1;\n}\n\n/* RaiseArgTupleInvalid */\nstatic void __Pyx_RaiseArgtupleInvalid(\n const char* func_name,\n int exact,\n Py_ssize_t num_min,\n Py_ssize_t num_max,\n Py_ssize_t num_found)\n{\n Py_ssize_t num_expected;\n const char *more_or_less;\n if (num_found < num_min) {\n num_expected = num_min;\n more_or_less = \"at least\";\n } else {\n num_expected = num_max;\n more_or_less = \"at most\";\n }\n if (exact) {\n more_or_less = \"exactly\";\n }\n PyErr_Format(PyExc_TypeError,\n \"%.200s() takes %.8s %\" CYTHON_FORMAT_SSIZE_T \"d positional argument%.1s (%\" CYTHON_FORMAT_SSIZE_T \"d given)\",\n func_name, more_or_less, num_expected,\n (num_expected == 1) ? \"\" : \"s\", num_found);\n}\n\n/* ExtTypeTest */\nstatic CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {\n if (unlikely(!type)) {\n PyErr_SetString(PyExc_SystemError, \"Missing type object\");\n return 0;\n }\n if (likely(__Pyx_TypeCheck(obj, type)))\n return 1;\n PyErr_Format(PyExc_TypeError, \"Cannot convert %.200s to %.200s\",\n Py_TYPE(obj)->tp_name, type->tp_name);\n return 0;\n}\n\n/* GetItemInt */\nstatic PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {\n PyObject *r;\n if (!j) return NULL;\n r = PyObject_GetItem(o, j);\n Py_DECREF(j);\n return r;\n}\nstatic CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,\n CYTHON_NCP_UNUSED int wraparound,\n CYTHON_NCP_UNUSED int boundscheck) {\n#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS\n Py_ssize_t wrapped_i = i;\n if (wraparound & unlikely(i < 0)) {\n wrapped_i += PyList_GET_SIZE(o);\n }\n if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) {\n PyObject *r = PyList_GET_ITEM(o, wrapped_i);\n Py_INCREF(r);\n return r;\n }\n return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));\n#else\n return PySequence_GetItem(o, i);\n#endif\n}\nstatic CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,\n CYTHON_NCP_UNUSED int wraparound,\n CYTHON_NCP_UNUSED int boundscheck) {\n#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS\n Py_ssize_t wrapped_i = i;\n if (wraparound & unlikely(i < 0)) {\n wrapped_i += PyTuple_GET_SIZE(o);\n }\n if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) {\n PyObject *r = PyTuple_GET_ITEM(o, wrapped_i);\n Py_INCREF(r);\n return r;\n }\n return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));\n#else\n return PySequence_GetItem(o, i);\n#endif\n}\nstatic CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list,\n CYTHON_NCP_UNUSED int wraparound,\n CYTHON_NCP_UNUSED int boundscheck) {\n#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS\n if (is_list || PyList_CheckExact(o)) {\n Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);\n if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) {\n PyObject *r = PyList_GET_ITEM(o, n);\n Py_INCREF(r);\n return r;\n }\n }\n else if (PyTuple_CheckExact(o)) {\n Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);\n if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) {\n PyObject *r = PyTuple_GET_ITEM(o, n);\n Py_INCREF(r);\n return r;\n }\n } else {\n PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;\n if (likely(m && m->sq_item)) {\n if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {\n Py_ssize_t l = m->sq_length(o);\n if (likely(l >= 0)) {\n i += l;\n } else {\n if (!PyErr_ExceptionMatches(PyExc_OverflowError))\n return NULL;\n PyErr_Clear();\n }\n }\n return m->sq_item(o, i);\n }\n }\n#else\n if (is_list || PySequence_Check(o)) {\n return PySequence_GetItem(o, i);\n }\n#endif\n return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));\n}\n\n/* PyDictVersioning */\n#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS\nstatic CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) {\n PyObject *dict = Py_TYPE(obj)->tp_dict;\n return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0;\n}\nstatic CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) {\n PyObject **dictptr = NULL;\n Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset;\n if (offset) {\n#if CYTHON_COMPILING_IN_CPYTHON\n dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj);\n#else\n dictptr = _PyObject_GetDictPtr(obj);\n#endif\n }\n return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0;\n}\nstatic CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) {\n PyObject *dict = Py_TYPE(obj)->tp_dict;\n if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict)))\n return 0;\n return obj_dict_version == __Pyx_get_object_dict_version(obj);\n}\n#endif\n\n/* GetModuleGlobalName */\n#if CYTHON_USE_DICT_VERSIONS\nstatic PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value)\n#else\nstatic CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name)\n#endif\n{\n PyObject *result;\n#if !CYTHON_AVOID_BORROWED_REFS\n#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1\n result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash);\n __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)\n if (likely(result)) {\n return __Pyx_NewRef(result);\n } else if (unlikely(PyErr_Occurred())) {\n return NULL;\n }\n#else\n result = PyDict_GetItem(__pyx_d, name);\n __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)\n if (likely(result)) {\n return __Pyx_NewRef(result);\n }\n#endif\n#else\n result = PyObject_GetItem(__pyx_d, name);\n __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)\n if (likely(result)) {\n return __Pyx_NewRef(result);\n }\n PyErr_Clear();\n#endif\n return __Pyx_GetBuiltinName(name);\n}\n\n/* PyCFunctionFastCall */\n#if CYTHON_FAST_PYCCALL\nstatic CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) {\n PyCFunctionObject *func = (PyCFunctionObject*)func_obj;\n PyCFunction meth = PyCFunction_GET_FUNCTION(func);\n PyObject *self = PyCFunction_GET_SELF(func);\n int flags = PyCFunction_GET_FLAGS(func);\n assert(PyCFunction_Check(func));\n assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)));\n assert(nargs >= 0);\n assert(nargs == 0 || args != NULL);\n /* _PyCFunction_FastCallDict() must not be called with an exception set,\n because it may clear it (directly or indirectly) and so the\n caller loses its exception */\n assert(!PyErr_Occurred());\n if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) {\n return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL);\n } else {\n return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs);\n }\n}\n#endif\n\n/* PyFunctionFastCall */\n#if CYTHON_FAST_PYCALL\nstatic PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na,\n PyObject *globals) {\n PyFrameObject *f;\n PyThreadState *tstate = __Pyx_PyThreadState_Current;\n PyObject **fastlocals;\n Py_ssize_t i;\n PyObject *result;\n assert(globals != NULL);\n /* XXX Perhaps we should create a specialized\n PyFrame_New() that doesn't take locals, but does\n take builtins without sanity checking them.\n */\n assert(tstate != NULL);\n f = PyFrame_New(tstate, co, globals, NULL);\n if (f == NULL) {\n return NULL;\n }\n fastlocals = __Pyx_PyFrame_GetLocalsplus(f);\n for (i = 0; i < na; i++) {\n Py_INCREF(*args);\n fastlocals[i] = *args++;\n }\n result = PyEval_EvalFrameEx(f,0);\n ++tstate->recursion_depth;\n Py_DECREF(f);\n --tstate->recursion_depth;\n return result;\n}\n#if 1 || PY_VERSION_HEX < 0x030600B1\nstatic PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, PyObject *kwargs) {\n PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func);\n PyObject *globals = PyFunction_GET_GLOBALS(func);\n PyObject *argdefs = PyFunction_GET_DEFAULTS(func);\n PyObject *closure;\n#if PY_MAJOR_VERSION >= 3\n PyObject *kwdefs;\n#endif\n PyObject *kwtuple, **k;\n PyObject **d;\n Py_ssize_t nd;\n Py_ssize_t nk;\n PyObject *result;\n assert(kwargs == NULL || PyDict_Check(kwargs));\n nk = kwargs ? PyDict_Size(kwargs) : 0;\n if (Py_EnterRecursiveCall((char*)\" while calling a Python object\")) {\n return NULL;\n }\n if (\n#if PY_MAJOR_VERSION >= 3\n co->co_kwonlyargcount == 0 &&\n#endif\n likely(kwargs == NULL || nk == 0) &&\n co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) {\n if (argdefs == NULL && co->co_argcount == nargs) {\n result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals);\n goto done;\n }\n else if (nargs == 0 && argdefs != NULL\n && co->co_argcount == Py_SIZE(argdefs)) {\n /* function called with no arguments, but all parameters have\n a default value: use default values as arguments .*/\n args = &PyTuple_GET_ITEM(argdefs, 0);\n result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals);\n goto done;\n }\n }\n if (kwargs != NULL) {\n Py_ssize_t pos, i;\n kwtuple = PyTuple_New(2 * nk);\n if (kwtuple == NULL) {\n result = NULL;\n goto done;\n }\n k = &PyTuple_GET_ITEM(kwtuple, 0);\n pos = i = 0;\n while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) {\n Py_INCREF(k[i]);\n Py_INCREF(k[i+1]);\n i += 2;\n }\n nk = i / 2;\n }\n else {\n kwtuple = NULL;\n k = NULL;\n }\n closure = PyFunction_GET_CLOSURE(func);\n#if PY_MAJOR_VERSION >= 3\n kwdefs = PyFunction_GET_KW_DEFAULTS(func);\n#endif\n if (argdefs != NULL) {\n d = &PyTuple_GET_ITEM(argdefs, 0);\n nd = Py_SIZE(argdefs);\n }\n else {\n d = NULL;\n nd = 0;\n }\n#if PY_MAJOR_VERSION >= 3\n result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL,\n args, nargs,\n k, (int)nk,\n d, (int)nd, kwdefs, closure);\n#else\n result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,\n args, nargs,\n k, (int)nk,\n d, (int)nd, closure);\n#endif\n Py_XDECREF(kwtuple);\ndone:\n Py_LeaveRecursiveCall();\n return result;\n}\n#endif\n#endif\n\n/* PyObjectCall */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {\n PyObject *result;\n ternaryfunc call = func->ob_type->tp_call;\n if (unlikely(!call))\n return PyObject_Call(func, arg, kw);\n if (unlikely(Py_EnterRecursiveCall((char*)\" while calling a Python object\")))\n return NULL;\n result = (*call)(func, arg, kw);\n Py_LeaveRecursiveCall();\n if (unlikely(!result) && unlikely(!PyErr_Occurred())) {\n PyErr_SetString(\n PyExc_SystemError,\n \"NULL result without error in PyObject_Call\");\n }\n return result;\n}\n#endif\n\n/* PyObjectCall2Args */\nstatic CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) {\n PyObject *args, *result = NULL;\n #if CYTHON_FAST_PYCALL\n if (PyFunction_Check(function)) {\n PyObject *args[2] = {arg1, arg2};\n return __Pyx_PyFunction_FastCall(function, args, 2);\n }\n #endif\n #if CYTHON_FAST_PYCCALL\n if (__Pyx_PyFastCFunction_Check(function)) {\n PyObject *args[2] = {arg1, arg2};\n return __Pyx_PyCFunction_FastCall(function, args, 2);\n }\n #endif\n args = PyTuple_New(2);\n if (unlikely(!args)) goto done;\n Py_INCREF(arg1);\n PyTuple_SET_ITEM(args, 0, arg1);\n Py_INCREF(arg2);\n PyTuple_SET_ITEM(args, 1, arg2);\n Py_INCREF(function);\n result = __Pyx_PyObject_Call(function, args, NULL);\n Py_DECREF(args);\n Py_DECREF(function);\ndone:\n return result;\n}\n\n/* PyObjectCallMethO */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {\n PyObject *self, *result;\n PyCFunction cfunc;\n cfunc = PyCFunction_GET_FUNCTION(func);\n self = PyCFunction_GET_SELF(func);\n if (unlikely(Py_EnterRecursiveCall((char*)\" while calling a Python object\")))\n return NULL;\n result = cfunc(self, arg);\n Py_LeaveRecursiveCall();\n if (unlikely(!result) && unlikely(!PyErr_Occurred())) {\n PyErr_SetString(\n PyExc_SystemError,\n \"NULL result without error in PyObject_Call\");\n }\n return result;\n}\n#endif\n\n/* PyObjectCallOneArg */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {\n PyObject *result;\n PyObject *args = PyTuple_New(1);\n if (unlikely(!args)) return NULL;\n Py_INCREF(arg);\n PyTuple_SET_ITEM(args, 0, arg);\n result = __Pyx_PyObject_Call(func, args, NULL);\n Py_DECREF(args);\n return result;\n}\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {\n#if CYTHON_FAST_PYCALL\n if (PyFunction_Check(func)) {\n return __Pyx_PyFunction_FastCall(func, &arg, 1);\n }\n#endif\n if (likely(PyCFunction_Check(func))) {\n if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {\n return __Pyx_PyObject_CallMethO(func, arg);\n#if CYTHON_FAST_PYCCALL\n } else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) {\n return __Pyx_PyCFunction_FastCall(func, &arg, 1);\n#endif\n }\n }\n return __Pyx__PyObject_CallOneArg(func, arg);\n}\n#else\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {\n PyObject *result;\n PyObject *args = PyTuple_Pack(1, arg);\n if (unlikely(!args)) return NULL;\n result = __Pyx_PyObject_Call(func, args, NULL);\n Py_DECREF(args);\n return result;\n}\n#endif\n\n/* ObjectGetItem */\n#if CYTHON_USE_TYPE_SLOTS\nstatic PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) {\n PyObject *runerr;\n Py_ssize_t key_value;\n PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence;\n if (unlikely(!(m && m->sq_item))) {\n PyErr_Format(PyExc_TypeError, \"'%.200s' object is not subscriptable\", Py_TYPE(obj)->tp_name);\n return NULL;\n }\n key_value = __Pyx_PyIndex_AsSsize_t(index);\n if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) {\n return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1);\n }\n if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) {\n PyErr_Clear();\n PyErr_Format(PyExc_IndexError, \"cannot fit '%.200s' into an index-sized integer\", Py_TYPE(index)->tp_name);\n }\n return NULL;\n}\nstatic PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) {\n PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping;\n if (likely(m && m->mp_subscript)) {\n return m->mp_subscript(obj, key);\n }\n return __Pyx_PyObject_GetIndex(obj, key);\n}\n#endif\n\n/* RaiseTooManyValuesToUnpack */\nstatic CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {\n PyErr_Format(PyExc_ValueError,\n \"too many values to unpack (expected %\" CYTHON_FORMAT_SSIZE_T \"d)\", expected);\n}\n\n/* RaiseNeedMoreValuesToUnpack */\nstatic CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {\n PyErr_Format(PyExc_ValueError,\n \"need more than %\" CYTHON_FORMAT_SSIZE_T \"d value%.1s to unpack\",\n index, (index == 1) ? \"\" : \"s\");\n}\n\n/* IterFinish */\nstatic CYTHON_INLINE int __Pyx_IterFinish(void) {\n#if CYTHON_FAST_THREAD_STATE\n PyThreadState *tstate = __Pyx_PyThreadState_Current;\n PyObject* exc_type = tstate->curexc_type;\n if (unlikely(exc_type)) {\n if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) {\n PyObject *exc_value, *exc_tb;\n exc_value = tstate->curexc_value;\n exc_tb = tstate->curexc_traceback;\n tstate->curexc_type = 0;\n tstate->curexc_value = 0;\n tstate->curexc_traceback = 0;\n Py_DECREF(exc_type);\n Py_XDECREF(exc_value);\n Py_XDECREF(exc_tb);\n return 0;\n } else {\n return -1;\n }\n }\n return 0;\n#else\n if (unlikely(PyErr_Occurred())) {\n if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) {\n PyErr_Clear();\n return 0;\n } else {\n return -1;\n }\n }\n return 0;\n#endif\n}\n\n/* UnpackItemEndCheck */\nstatic int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) {\n if (unlikely(retval)) {\n Py_DECREF(retval);\n __Pyx_RaiseTooManyValuesError(expected);\n return -1;\n } else {\n return __Pyx_IterFinish();\n }\n return 0;\n}\n\n/* None */\nstatic CYTHON_INLINE void __Pyx_RaiseClosureNameError(const char *varname) {\n PyErr_Format(PyExc_NameError, \"free variable '%s' referenced before assignment in enclosing scope\", varname);\n}\n\n/* PyIntBinop */\n#if !CYTHON_COMPILING_IN_PYPY\nstatic PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) {\n (void)inplace;\n (void)zerodivision_check;\n #if PY_MAJOR_VERSION < 3\n if (likely(PyInt_CheckExact(op1))) {\n const long b = intval;\n long x;\n long a = PyInt_AS_LONG(op1);\n x = (long)((unsigned long)a + b);\n if (likely((x^a) >= 0 || (x^b) >= 0))\n return PyInt_FromLong(x);\n return PyLong_Type.tp_as_number->nb_add(op1, op2);\n }\n #endif\n #if CYTHON_USE_PYLONG_INTERNALS\n if (likely(PyLong_CheckExact(op1))) {\n const long b = intval;\n long a, x;\n#ifdef HAVE_LONG_LONG\n const PY_LONG_LONG llb = intval;\n PY_LONG_LONG lla, llx;\n#endif\n const digit* digits = ((PyLongObject*)op1)->ob_digit;\n const Py_ssize_t size = Py_SIZE(op1);\n if (likely(__Pyx_sst_abs(size) <= 1)) {\n a = likely(size) ? digits[0] : 0;\n if (size == -1) a = -a;\n } else {\n switch (size) {\n case -2:\n if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {\n a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));\n break;\n#ifdef HAVE_LONG_LONG\n } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {\n lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));\n goto long_long;\n#endif\n }\n CYTHON_FALLTHROUGH;\n case 2:\n if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {\n a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));\n break;\n#ifdef HAVE_LONG_LONG\n } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {\n lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));\n goto long_long;\n#endif\n }\n CYTHON_FALLTHROUGH;\n case -3:\n if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {\n a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));\n break;\n#ifdef HAVE_LONG_LONG\n } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {\n lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));\n goto long_long;\n#endif\n }\n CYTHON_FALLTHROUGH;\n case 3:\n if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {\n a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));\n break;\n#ifdef HAVE_LONG_LONG\n } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {\n lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));\n goto long_long;\n#endif\n }\n CYTHON_FALLTHROUGH;\n case -4:\n if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {\n a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));\n break;\n#ifdef HAVE_LONG_LONG\n } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {\n lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));\n goto long_long;\n#endif\n }\n CYTHON_FALLTHROUGH;\n case 4:\n if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {\n a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));\n break;\n#ifdef HAVE_LONG_LONG\n } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {\n lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));\n goto long_long;\n#endif\n }\n CYTHON_FALLTHROUGH;\n default: return PyLong_Type.tp_as_number->nb_add(op1, op2);\n }\n }\n x = a + b;\n return PyLong_FromLong(x);\n#ifdef HAVE_LONG_LONG\n long_long:\n llx = lla + llb;\n return PyLong_FromLongLong(llx);\n#endif\n \n \n }\n #endif\n if (PyFloat_CheckExact(op1)) {\n const long b = intval;\n double a = PyFloat_AS_DOUBLE(op1);\n double result;\n PyFPE_START_PROTECT(\"add\", return NULL)\n result = ((double)a) + (double)b;\n PyFPE_END_PROTECT(result)\n return PyFloat_FromDouble(result);\n }\n return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2);\n}\n#endif\n\n/* SliceObject */\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice(PyObject* obj,\n Py_ssize_t cstart, Py_ssize_t cstop,\n PyObject** _py_start, PyObject** _py_stop, PyObject** _py_slice,\n int has_cstart, int has_cstop, CYTHON_UNUSED int wraparound) {\n#if CYTHON_USE_TYPE_SLOTS\n PyMappingMethods* mp;\n#if PY_MAJOR_VERSION < 3\n PySequenceMethods* ms = Py_TYPE(obj)->tp_as_sequence;\n if (likely(ms && ms->sq_slice)) {\n if (!has_cstart) {\n if (_py_start && (*_py_start != Py_None)) {\n cstart = __Pyx_PyIndex_AsSsize_t(*_py_start);\n if ((cstart == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad;\n } else\n cstart = 0;\n }\n if (!has_cstop) {\n if (_py_stop && (*_py_stop != Py_None)) {\n cstop = __Pyx_PyIndex_AsSsize_t(*_py_stop);\n if ((cstop == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad;\n } else\n cstop = PY_SSIZE_T_MAX;\n }\n if (wraparound && unlikely((cstart < 0) | (cstop < 0)) && likely(ms->sq_length)) {\n Py_ssize_t l = ms->sq_length(obj);\n if (likely(l >= 0)) {\n if (cstop < 0) {\n cstop += l;\n if (cstop < 0) cstop = 0;\n }\n if (cstart < 0) {\n cstart += l;\n if (cstart < 0) cstart = 0;\n }\n } else {\n if (!PyErr_ExceptionMatches(PyExc_OverflowError))\n goto bad;\n PyErr_Clear();\n }\n }\n return ms->sq_slice(obj, cstart, cstop);\n }\n#endif\n mp = Py_TYPE(obj)->tp_as_mapping;\n if (likely(mp && mp->mp_subscript))\n#endif\n {\n PyObject* result;\n PyObject *py_slice, *py_start, *py_stop;\n if (_py_slice) {\n py_slice = *_py_slice;\n } else {\n PyObject* owned_start = NULL;\n PyObject* owned_stop = NULL;\n if (_py_start) {\n py_start = *_py_start;\n } else {\n if (has_cstart) {\n owned_start = py_start = PyInt_FromSsize_t(cstart);\n if (unlikely(!py_start)) goto bad;\n } else\n py_start = Py_None;\n }\n if (_py_stop) {\n py_stop = *_py_stop;\n } else {\n if (has_cstop) {\n owned_stop = py_stop = PyInt_FromSsize_t(cstop);\n if (unlikely(!py_stop)) {\n Py_XDECREF(owned_start);\n goto bad;\n }\n } else\n py_stop = Py_None;\n }\n py_slice = PySlice_New(py_start, py_stop, Py_None);\n Py_XDECREF(owned_start);\n Py_XDECREF(owned_stop);\n if (unlikely(!py_slice)) goto bad;\n }\n#if CYTHON_USE_TYPE_SLOTS\n result = mp->mp_subscript(obj, py_slice);\n#else\n result = PyObject_GetItem(obj, py_slice);\n#endif\n if (!_py_slice) {\n Py_DECREF(py_slice);\n }\n return result;\n }\n PyErr_Format(PyExc_TypeError,\n \"'%.200s' object is unsliceable\", Py_TYPE(obj)->tp_name);\nbad:\n return NULL;\n}\n\n/* PyObjectCallNoArg */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) {\n#if CYTHON_FAST_PYCALL\n if (PyFunction_Check(func)) {\n return __Pyx_PyFunction_FastCall(func, NULL, 0);\n }\n#endif\n#ifdef __Pyx_CyFunction_USED\n if (likely(PyCFunction_Check(func) || __Pyx_CyFunction_Check(func)))\n#else\n if (likely(PyCFunction_Check(func)))\n#endif\n {\n if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) {\n return __Pyx_PyObject_CallMethO(func, NULL);\n }\n }\n return __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL);\n}\n#endif\n\n/* PyErrFetchRestore */\n#if CYTHON_FAST_THREAD_STATE\nstatic CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {\n PyObject *tmp_type, *tmp_value, *tmp_tb;\n tmp_type = tstate->curexc_type;\n tmp_value = tstate->curexc_value;\n tmp_tb = tstate->curexc_traceback;\n tstate->curexc_type = type;\n tstate->curexc_value = value;\n tstate->curexc_traceback = tb;\n Py_XDECREF(tmp_type);\n Py_XDECREF(tmp_value);\n Py_XDECREF(tmp_tb);\n}\nstatic CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {\n *type = tstate->curexc_type;\n *value = tstate->curexc_value;\n *tb = tstate->curexc_traceback;\n tstate->curexc_type = 0;\n tstate->curexc_value = 0;\n tstate->curexc_traceback = 0;\n}\n#endif\n\n/* RaiseException */\n#if PY_MAJOR_VERSION < 3\nstatic void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,\n CYTHON_UNUSED PyObject *cause) {\n __Pyx_PyThreadState_declare\n Py_XINCREF(type);\n if (!value || value == Py_None)\n value = NULL;\n else\n Py_INCREF(value);\n if (!tb || tb == Py_None)\n tb = NULL;\n else {\n Py_INCREF(tb);\n if (!PyTraceBack_Check(tb)) {\n PyErr_SetString(PyExc_TypeError,\n \"raise: arg 3 must be a traceback or None\");\n goto raise_error;\n }\n }\n if (PyType_Check(type)) {\n#if CYTHON_COMPILING_IN_PYPY\n if (!value) {\n Py_INCREF(Py_None);\n value = Py_None;\n }\n#endif\n PyErr_NormalizeException(&type, &value, &tb);\n } else {\n if (value) {\n PyErr_SetString(PyExc_TypeError,\n \"instance exception may not have a separate value\");\n goto raise_error;\n }\n value = type;\n type = (PyObject*) Py_TYPE(type);\n Py_INCREF(type);\n if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {\n PyErr_SetString(PyExc_TypeError,\n \"raise: exception class must be a subclass of BaseException\");\n goto raise_error;\n }\n }\n __Pyx_PyThreadState_assign\n __Pyx_ErrRestore(type, value, tb);\n return;\nraise_error:\n Py_XDECREF(value);\n Py_XDECREF(type);\n Py_XDECREF(tb);\n return;\n}\n#else\nstatic void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {\n PyObject* owned_instance = NULL;\n if (tb == Py_None) {\n tb = 0;\n } else if (tb && !PyTraceBack_Check(tb)) {\n PyErr_SetString(PyExc_TypeError,\n \"raise: arg 3 must be a traceback or None\");\n goto bad;\n }\n if (value == Py_None)\n value = 0;\n if (PyExceptionInstance_Check(type)) {\n if (value) {\n PyErr_SetString(PyExc_TypeError,\n \"instance exception may not have a separate value\");\n goto bad;\n }\n value = type;\n type = (PyObject*) Py_TYPE(value);\n } else if (PyExceptionClass_Check(type)) {\n PyObject *instance_class = NULL;\n if (value && PyExceptionInstance_Check(value)) {\n instance_class = (PyObject*) Py_TYPE(value);\n if (instance_class != type) {\n int is_subclass = PyObject_IsSubclass(instance_class, type);\n if (!is_subclass) {\n instance_class = NULL;\n } else if (unlikely(is_subclass == -1)) {\n goto bad;\n } else {\n type = instance_class;\n }\n }\n }\n if (!instance_class) {\n PyObject *args;\n if (!value)\n args = PyTuple_New(0);\n else if (PyTuple_Check(value)) {\n Py_INCREF(value);\n args = value;\n } else\n args = PyTuple_Pack(1, value);\n if (!args)\n goto bad;\n owned_instance = PyObject_Call(type, args, NULL);\n Py_DECREF(args);\n if (!owned_instance)\n goto bad;\n value = owned_instance;\n if (!PyExceptionInstance_Check(value)) {\n PyErr_Format(PyExc_TypeError,\n \"calling %R should have returned an instance of \"\n \"BaseException, not %R\",\n type, Py_TYPE(value));\n goto bad;\n }\n }\n } else {\n PyErr_SetString(PyExc_TypeError,\n \"raise: exception class must be a subclass of BaseException\");\n goto bad;\n }\n if (cause) {\n PyObject *fixed_cause;\n if (cause == Py_None) {\n fixed_cause = NULL;\n } else if (PyExceptionClass_Check(cause)) {\n fixed_cause = PyObject_CallObject(cause, NULL);\n if (fixed_cause == NULL)\n goto bad;\n } else if (PyExceptionInstance_Check(cause)) {\n fixed_cause = cause;\n Py_INCREF(fixed_cause);\n } else {\n PyErr_SetString(PyExc_TypeError,\n \"exception causes must derive from \"\n \"BaseException\");\n goto bad;\n }\n PyException_SetCause(value, fixed_cause);\n }\n PyErr_SetObject(type, value);\n if (tb) {\n#if CYTHON_COMPILING_IN_PYPY\n PyObject *tmp_type, *tmp_value, *tmp_tb;\n PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb);\n Py_INCREF(tb);\n PyErr_Restore(tmp_type, tmp_value, tb);\n Py_XDECREF(tmp_tb);\n#else\n PyThreadState *tstate = __Pyx_PyThreadState_Current;\n PyObject* tmp_tb = tstate->curexc_traceback;\n if (tb != tmp_tb) {\n Py_INCREF(tb);\n tstate->curexc_traceback = tb;\n Py_XDECREF(tmp_tb);\n }\n#endif\n }\nbad:\n Py_XDECREF(owned_instance);\n return;\n}\n#endif\n\n/* IsLittleEndian */\nstatic CYTHON_INLINE int __Pyx_Is_Little_Endian(void)\n{\n union {\n uint32_t u32;\n uint8_t u8[4];\n } S;\n S.u32 = 0x01020304;\n return S.u8[0] == 4;\n}\n\n/* BufferFormatCheck */\nstatic void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,\n __Pyx_BufFmt_StackElem* stack,\n __Pyx_TypeInfo* type) {\n stack[0].field = &ctx->root;\n stack[0].parent_offset = 0;\n ctx->root.type = type;\n ctx->root.name = \"buffer dtype\";\n ctx->root.offset = 0;\n ctx->head = stack;\n ctx->head->field = &ctx->root;\n ctx->fmt_offset = 0;\n ctx->head->parent_offset = 0;\n ctx->new_packmode = '@';\n ctx->enc_packmode = '@';\n ctx->new_count = 1;\n ctx->enc_count = 0;\n ctx->enc_type = 0;\n ctx->is_complex = 0;\n ctx->is_valid_array = 0;\n ctx->struct_alignment = 0;\n while (type->typegroup == 'S') {\n ++ctx->head;\n ctx->head->field = type->fields;\n ctx->head->parent_offset = 0;\n type = type->fields->type;\n }\n}\nstatic int __Pyx_BufFmt_ParseNumber(const char** ts) {\n int count;\n const char* t = *ts;\n if (*t < '0' || *t > '9') {\n return -1;\n } else {\n count = *t++ - '0';\n while (*t >= '0' && *t <= '9') {\n count *= 10;\n count += *t++ - '0';\n }\n }\n *ts = t;\n return count;\n}\nstatic int __Pyx_BufFmt_ExpectNumber(const char **ts) {\n int number = __Pyx_BufFmt_ParseNumber(ts);\n if (number == -1)\n PyErr_Format(PyExc_ValueError,\\\n \"Does not understand character buffer dtype format string ('%c')\", **ts);\n return number;\n}\nstatic void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {\n PyErr_Format(PyExc_ValueError,\n \"Unexpected format string character: '%c'\", ch);\n}\nstatic const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {\n switch (ch) {\n case 'c': return \"'char'\";\n case 'b': return \"'signed char'\";\n case 'B': return \"'unsigned char'\";\n case 'h': return \"'short'\";\n case 'H': return \"'unsigned short'\";\n case 'i': return \"'int'\";\n case 'I': return \"'unsigned int'\";\n case 'l': return \"'long'\";\n case 'L': return \"'unsigned long'\";\n case 'q': return \"'long long'\";\n case 'Q': return \"'unsigned long long'\";\n case 'f': return (is_complex ? \"'complex float'\" : \"'float'\");\n case 'd': return (is_complex ? \"'complex double'\" : \"'double'\");\n case 'g': return (is_complex ? \"'complex long double'\" : \"'long double'\");\n case 'T': return \"a struct\";\n case 'O': return \"Python object\";\n case 'P': return \"a pointer\";\n case 's': case 'p': return \"a string\";\n case 0: return \"end\";\n default: return \"unparseable format string\";\n }\n}\nstatic size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {\n switch (ch) {\n case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;\n case 'h': case 'H': return 2;\n case 'i': case 'I': case 'l': case 'L': return 4;\n case 'q': case 'Q': return 8;\n case 'f': return (is_complex ? 8 : 4);\n case 'd': return (is_complex ? 16 : 8);\n case 'g': {\n PyErr_SetString(PyExc_ValueError, \"Python does not define a standard format string size for long double ('g')..\");\n return 0;\n }\n case 'O': case 'P': return sizeof(void*);\n default:\n __Pyx_BufFmt_RaiseUnexpectedChar(ch);\n return 0;\n }\n}\nstatic size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {\n switch (ch) {\n case 'c': case 'b': case 'B': case 's': case 'p': return 1;\n case 'h': case 'H': return sizeof(short);\n case 'i': case 'I': return sizeof(int);\n case 'l': case 'L': return sizeof(long);\n #ifdef HAVE_LONG_LONG\n case 'q': case 'Q': return sizeof(PY_LONG_LONG);\n #endif\n case 'f': return sizeof(float) * (is_complex ? 2 : 1);\n case 'd': return sizeof(double) * (is_complex ? 2 : 1);\n case 'g': return sizeof(long double) * (is_complex ? 2 : 1);\n case 'O': case 'P': return sizeof(void*);\n default: {\n __Pyx_BufFmt_RaiseUnexpectedChar(ch);\n return 0;\n }\n }\n}\ntypedef struct { char c; short x; } __Pyx_st_short;\ntypedef struct { char c; int x; } __Pyx_st_int;\ntypedef struct { char c; long x; } __Pyx_st_long;\ntypedef struct { char c; float x; } __Pyx_st_float;\ntypedef struct { char c; double x; } __Pyx_st_double;\ntypedef struct { char c; long double x; } __Pyx_st_longdouble;\ntypedef struct { char c; void *x; } __Pyx_st_void_p;\n#ifdef HAVE_LONG_LONG\ntypedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;\n#endif\nstatic size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) {\n switch (ch) {\n case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;\n case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);\n case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);\n case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);\n#ifdef HAVE_LONG_LONG\n case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);\n#endif\n case 'f': return sizeof(__Pyx_st_float) - sizeof(float);\n case 'd': return sizeof(__Pyx_st_double) - sizeof(double);\n case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);\n case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);\n default:\n __Pyx_BufFmt_RaiseUnexpectedChar(ch);\n return 0;\n }\n}\n/* These are for computing the padding at the end of the struct to align\n on the first member of the struct. This will probably the same as above,\n but we don't have any guarantees.\n */\ntypedef struct { short x; char c; } __Pyx_pad_short;\ntypedef struct { int x; char c; } __Pyx_pad_int;\ntypedef struct { long x; char c; } __Pyx_pad_long;\ntypedef struct { float x; char c; } __Pyx_pad_float;\ntypedef struct { double x; char c; } __Pyx_pad_double;\ntypedef struct { long double x; char c; } __Pyx_pad_longdouble;\ntypedef struct { void *x; char c; } __Pyx_pad_void_p;\n#ifdef HAVE_LONG_LONG\ntypedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong;\n#endif\nstatic size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) {\n switch (ch) {\n case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;\n case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short);\n case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int);\n case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long);\n#ifdef HAVE_LONG_LONG\n case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG);\n#endif\n case 'f': return sizeof(__Pyx_pad_float) - sizeof(float);\n case 'd': return sizeof(__Pyx_pad_double) - sizeof(double);\n case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double);\n case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*);\n default:\n __Pyx_BufFmt_RaiseUnexpectedChar(ch);\n return 0;\n }\n}\nstatic char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {\n switch (ch) {\n case 'c':\n return 'H';\n case 'b': case 'h': case 'i':\n case 'l': case 'q': case 's': case 'p':\n return 'I';\n case 'B': case 'H': case 'I': case 'L': case 'Q':\n return 'U';\n case 'f': case 'd': case 'g':\n return (is_complex ? 'C' : 'R');\n case 'O':\n return 'O';\n case 'P':\n return 'P';\n default: {\n __Pyx_BufFmt_RaiseUnexpectedChar(ch);\n return 0;\n }\n }\n}\nstatic void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {\n if (ctx->head == NULL || ctx->head->field == &ctx->root) {\n const char* expected;\n const char* quote;\n if (ctx->head == NULL) {\n expected = \"end\";\n quote = \"\";\n } else {\n expected = ctx->head->field->type->name;\n quote = \"'\";\n }\n PyErr_Format(PyExc_ValueError,\n \"Buffer dtype mismatch, expected %s%s%s but got %s\",\n quote, expected, quote,\n __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));\n } else {\n __Pyx_StructField* field = ctx->head->field;\n __Pyx_StructField* parent = (ctx->head - 1)->field;\n PyErr_Format(PyExc_ValueError,\n \"Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'\",\n field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),\n parent->type->name, field->name);\n }\n}\nstatic int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {\n char group;\n size_t size, offset, arraysize = 1;\n if (ctx->enc_type == 0) return 0;\n if (ctx->head->field->type->arraysize[0]) {\n int i, ndim = 0;\n if (ctx->enc_type == 's' || ctx->enc_type == 'p') {\n ctx->is_valid_array = ctx->head->field->type->ndim == 1;\n ndim = 1;\n if (ctx->enc_count != ctx->head->field->type->arraysize[0]) {\n PyErr_Format(PyExc_ValueError,\n \"Expected a dimension of size %zu, got %zu\",\n ctx->head->field->type->arraysize[0], ctx->enc_count);\n return -1;\n }\n }\n if (!ctx->is_valid_array) {\n PyErr_Format(PyExc_ValueError, \"Expected %d dimensions, got %d\",\n ctx->head->field->type->ndim, ndim);\n return -1;\n }\n for (i = 0; i < ctx->head->field->type->ndim; i++) {\n arraysize *= ctx->head->field->type->arraysize[i];\n }\n ctx->is_valid_array = 0;\n ctx->enc_count = 1;\n }\n group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);\n do {\n __Pyx_StructField* field = ctx->head->field;\n __Pyx_TypeInfo* type = field->type;\n if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {\n size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);\n } else {\n size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);\n }\n if (ctx->enc_packmode == '@') {\n size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);\n size_t align_mod_offset;\n if (align_at == 0) return -1;\n align_mod_offset = ctx->fmt_offset % align_at;\n if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;\n if (ctx->struct_alignment == 0)\n ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type,\n ctx->is_complex);\n }\n if (type->size != size || type->typegroup != group) {\n if (type->typegroup == 'C' && type->fields != NULL) {\n size_t parent_offset = ctx->head->parent_offset + field->offset;\n ++ctx->head;\n ctx->head->field = type->fields;\n ctx->head->parent_offset = parent_offset;\n continue;\n }\n if ((type->typegroup == 'H' || group == 'H') && type->size == size) {\n } else {\n __Pyx_BufFmt_RaiseExpected(ctx);\n return -1;\n }\n }\n offset = ctx->head->parent_offset + field->offset;\n if (ctx->fmt_offset != offset) {\n PyErr_Format(PyExc_ValueError,\n \"Buffer dtype mismatch; next field is at offset %\" CYTHON_FORMAT_SSIZE_T \"d but %\" CYTHON_FORMAT_SSIZE_T \"d expected\",\n (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);\n return -1;\n }\n ctx->fmt_offset += size;\n if (arraysize)\n ctx->fmt_offset += (arraysize - 1) * size;\n --ctx->enc_count;\n while (1) {\n if (field == &ctx->root) {\n ctx->head = NULL;\n if (ctx->enc_count != 0) {\n __Pyx_BufFmt_RaiseExpected(ctx);\n return -1;\n }\n break;\n }\n ctx->head->field = ++field;\n if (field->type == NULL) {\n --ctx->head;\n field = ctx->head->field;\n continue;\n } else if (field->type->typegroup == 'S') {\n size_t parent_offset = ctx->head->parent_offset + field->offset;\n if (field->type->fields->type == NULL) continue;\n field = field->type->fields;\n ++ctx->head;\n ctx->head->field = field;\n ctx->head->parent_offset = parent_offset;\n break;\n } else {\n break;\n }\n }\n } while (ctx->enc_count);\n ctx->enc_type = 0;\n ctx->is_complex = 0;\n return 0;\n}\nstatic PyObject *\n__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)\n{\n const char *ts = *tsp;\n int i = 0, number;\n int ndim = ctx->head->field->type->ndim;\n;\n ++ts;\n if (ctx->new_count != 1) {\n PyErr_SetString(PyExc_ValueError,\n \"Cannot handle repeated arrays in format string\");\n return NULL;\n }\n if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;\n while (*ts && *ts != ')') {\n switch (*ts) {\n case ' ': case '\\f': case '\\r': case '\\n': case '\\t': case '\\v': continue;\n default: break;\n }\n number = __Pyx_BufFmt_ExpectNumber(&ts);\n if (number == -1) return NULL;\n if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i])\n return PyErr_Format(PyExc_ValueError,\n \"Expected a dimension of size %zu, got %d\",\n ctx->head->field->type->arraysize[i], number);\n if (*ts != ',' && *ts != ')')\n return PyErr_Format(PyExc_ValueError,\n \"Expected a comma in format string, got '%c'\", *ts);\n if (*ts == ',') ts++;\n i++;\n }\n if (i != ndim)\n return PyErr_Format(PyExc_ValueError, \"Expected %d dimension(s), got %d\",\n ctx->head->field->type->ndim, i);\n if (!*ts) {\n PyErr_SetString(PyExc_ValueError,\n \"Unexpected end of format string, expected ')'\");\n return NULL;\n }\n ctx->is_valid_array = 1;\n ctx->new_count = 1;\n *tsp = ++ts;\n return Py_None;\n}\nstatic const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {\n int got_Z = 0;\n while (1) {\n switch(*ts) {\n case 0:\n if (ctx->enc_type != 0 && ctx->head == NULL) {\n __Pyx_BufFmt_RaiseExpected(ctx);\n return NULL;\n }\n if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;\n if (ctx->head != NULL) {\n __Pyx_BufFmt_RaiseExpected(ctx);\n return NULL;\n }\n return ts;\n case ' ':\n case '\\r':\n case '\\n':\n ++ts;\n break;\n case '<':\n if (!__Pyx_Is_Little_Endian()) {\n PyErr_SetString(PyExc_ValueError, \"Little-endian buffer not supported on big-endian compiler\");\n return NULL;\n }\n ctx->new_packmode = '=';\n ++ts;\n break;\n case '>':\n case '!':\n if (__Pyx_Is_Little_Endian()) {\n PyErr_SetString(PyExc_ValueError, \"Big-endian buffer not supported on little-endian compiler\");\n return NULL;\n }\n ctx->new_packmode = '=';\n ++ts;\n break;\n case '=':\n case '@':\n case '^':\n ctx->new_packmode = *ts++;\n break;\n case 'T':\n {\n const char* ts_after_sub;\n size_t i, struct_count = ctx->new_count;\n size_t struct_alignment = ctx->struct_alignment;\n ctx->new_count = 1;\n ++ts;\n if (*ts != '{') {\n PyErr_SetString(PyExc_ValueError, \"Buffer acquisition: Expected '{' after 'T'\");\n return NULL;\n }\n if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;\n ctx->enc_type = 0;\n ctx->enc_count = 0;\n ctx->struct_alignment = 0;\n ++ts;\n ts_after_sub = ts;\n for (i = 0; i != struct_count; ++i) {\n ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);\n if (!ts_after_sub) return NULL;\n }\n ts = ts_after_sub;\n if (struct_alignment) ctx->struct_alignment = struct_alignment;\n }\n break;\n case '}':\n {\n size_t alignment = ctx->struct_alignment;\n ++ts;\n if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;\n ctx->enc_type = 0;\n if (alignment && ctx->fmt_offset % alignment) {\n ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment);\n }\n }\n return ts;\n case 'x':\n if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;\n ctx->fmt_offset += ctx->new_count;\n ctx->new_count = 1;\n ctx->enc_count = 0;\n ctx->enc_type = 0;\n ctx->enc_packmode = ctx->new_packmode;\n ++ts;\n break;\n case 'Z':\n got_Z = 1;\n ++ts;\n if (*ts != 'f' && *ts != 'd' && *ts != 'g') {\n __Pyx_BufFmt_RaiseUnexpectedChar('Z');\n return NULL;\n }\n CYTHON_FALLTHROUGH;\n case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':\n case 'l': case 'L': case 'q': case 'Q':\n case 'f': case 'd': case 'g':\n case 'O': case 'p':\n if (ctx->enc_type == *ts && got_Z == ctx->is_complex &&\n ctx->enc_packmode == ctx->new_packmode) {\n ctx->enc_count += ctx->new_count;\n ctx->new_count = 1;\n got_Z = 0;\n ++ts;\n break;\n }\n CYTHON_FALLTHROUGH;\n case 's':\n if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;\n ctx->enc_count = ctx->new_count;\n ctx->enc_packmode = ctx->new_packmode;\n ctx->enc_type = *ts;\n ctx->is_complex = got_Z;\n ++ts;\n ctx->new_count = 1;\n got_Z = 0;\n break;\n case ':':\n ++ts;\n while(*ts != ':') ++ts;\n ++ts;\n break;\n case '(':\n if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL;\n break;\n default:\n {\n int number = __Pyx_BufFmt_ExpectNumber(&ts);\n if (number == -1) return NULL;\n ctx->new_count = (size_t)number;\n }\n }\n }\n}\n\n/* BufferGetAndValidate */\n static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) {\n if (unlikely(info->buf == NULL)) return;\n if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL;\n __Pyx_ReleaseBuffer(info);\n}\nstatic void __Pyx_ZeroBuffer(Py_buffer* buf) {\n buf->buf = NULL;\n buf->obj = NULL;\n buf->strides = __Pyx_zeros;\n buf->shape = __Pyx_zeros;\n buf->suboffsets = __Pyx_minusones;\n}\nstatic int __Pyx__GetBufferAndValidate(\n Py_buffer* buf, PyObject* obj, __Pyx_TypeInfo* dtype, int flags,\n int nd, int cast, __Pyx_BufFmt_StackElem* stack)\n{\n buf->buf = NULL;\n if (unlikely(__Pyx_GetBuffer(obj, buf, flags) == -1)) {\n __Pyx_ZeroBuffer(buf);\n return -1;\n }\n if (unlikely(buf->ndim != nd)) {\n PyErr_Format(PyExc_ValueError,\n \"Buffer has wrong number of dimensions (expected %d, got %d)\",\n nd, buf->ndim);\n goto fail;\n }\n if (!cast) {\n __Pyx_BufFmt_Context ctx;\n __Pyx_BufFmt_Init(&ctx, stack, dtype);\n if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail;\n }\n if (unlikely((size_t)buf->itemsize != dtype->size)) {\n PyErr_Format(PyExc_ValueError,\n \"Item size of buffer (%\" CYTHON_FORMAT_SSIZE_T \"d byte%s) does not match size of '%s' (%\" CYTHON_FORMAT_SSIZE_T \"d byte%s)\",\n buf->itemsize, (buf->itemsize > 1) ? \"s\" : \"\",\n dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? \"s\" : \"\");\n goto fail;\n }\n if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones;\n return 0;\nfail:;\n __Pyx_SafeReleaseBuffer(buf);\n return -1;\n}\n\n/* MemviewSliceInit */\n static int\n__Pyx_init_memviewslice(struct __pyx_memoryview_obj *memview,\n int ndim,\n __Pyx_memviewslice *memviewslice,\n int memview_is_new_reference)\n{\n __Pyx_RefNannyDeclarations\n int i, retval=-1;\n Py_buffer *buf = &memview->view;\n __Pyx_RefNannySetupContext(\"init_memviewslice\", 0);\n if (memviewslice->memview || memviewslice->data) {\n PyErr_SetString(PyExc_ValueError,\n \"memviewslice is already initialized!\");\n goto fail;\n }\n if (buf->strides) {\n for (i = 0; i < ndim; i++) {\n memviewslice->strides[i] = buf->strides[i];\n }\n } else {\n Py_ssize_t stride = buf->itemsize;\n for (i = ndim - 1; i >= 0; i--) {\n memviewslice->strides[i] = stride;\n stride *= buf->shape[i];\n }\n }\n for (i = 0; i < ndim; i++) {\n memviewslice->shape[i] = buf->shape[i];\n if (buf->suboffsets) {\n memviewslice->suboffsets[i] = buf->suboffsets[i];\n } else {\n memviewslice->suboffsets[i] = -1;\n }\n }\n memviewslice->memview = memview;\n memviewslice->data = (char *)buf->buf;\n if (__pyx_add_acquisition_count(memview) == 0 && !memview_is_new_reference) {\n Py_INCREF(memview);\n }\n retval = 0;\n goto no_fail;\nfail:\n memviewslice->memview = 0;\n memviewslice->data = 0;\n retval = -1;\nno_fail:\n __Pyx_RefNannyFinishContext();\n return retval;\n}\n#ifndef Py_NO_RETURN\n#define Py_NO_RETURN\n#endif\nstatic void __pyx_fatalerror(const char *fmt, ...) Py_NO_RETURN {\n va_list vargs;\n char msg[200];\n#ifdef HAVE_STDARG_PROTOTYPES\n va_start(vargs, fmt);\n#else\n va_start(vargs);\n#endif\n vsnprintf(msg, 200, fmt, vargs);\n va_end(vargs);\n Py_FatalError(msg);\n}\nstatic CYTHON_INLINE int\n__pyx_add_acquisition_count_locked(__pyx_atomic_int *acquisition_count,\n PyThread_type_lock lock)\n{\n int result;\n PyThread_acquire_lock(lock, 1);\n result = (*acquisition_count)++;\n PyThread_release_lock(lock);\n return result;\n}\nstatic CYTHON_INLINE int\n__pyx_sub_acquisition_count_locked(__pyx_atomic_int *acquisition_count,\n PyThread_type_lock lock)\n{\n int result;\n PyThread_acquire_lock(lock, 1);\n result = (*acquisition_count)--;\n PyThread_release_lock(lock);\n return result;\n}\nstatic CYTHON_INLINE void\n__Pyx_INC_MEMVIEW(__Pyx_memviewslice *memslice, int have_gil, int lineno)\n{\n int first_time;\n struct __pyx_memoryview_obj *memview = memslice->memview;\n if (!memview || (PyObject *) memview == Py_None)\n return;\n if (__pyx_get_slice_count(memview) < 0)\n __pyx_fatalerror(\"Acquisition count is %d (line %d)\",\n __pyx_get_slice_count(memview), lineno);\n first_time = __pyx_add_acquisition_count(memview) == 0;\n if (first_time) {\n if (have_gil) {\n Py_INCREF((PyObject *) memview);\n } else {\n PyGILState_STATE _gilstate = PyGILState_Ensure();\n Py_INCREF((PyObject *) memview);\n PyGILState_Release(_gilstate);\n }\n }\n}\nstatic CYTHON_INLINE void __Pyx_XDEC_MEMVIEW(__Pyx_memviewslice *memslice,\n int have_gil, int lineno) {\n int last_time;\n struct __pyx_memoryview_obj *memview = memslice->memview;\n if (!memview ) {\n return;\n } else if ((PyObject *) memview == Py_None) {\n memslice->memview = NULL;\n return;\n }\n if (__pyx_get_slice_count(memview) <= 0)\n __pyx_fatalerror(\"Acquisition count is %d (line %d)\",\n __pyx_get_slice_count(memview), lineno);\n last_time = __pyx_sub_acquisition_count(memview) == 1;\n memslice->data = NULL;\n if (last_time) {\n if (have_gil) {\n Py_CLEAR(memslice->memview);\n } else {\n PyGILState_STATE _gilstate = PyGILState_Ensure();\n Py_CLEAR(memslice->memview);\n PyGILState_Release(_gilstate);\n }\n } else {\n memslice->memview = NULL;\n }\n}\n\n\nstatic CYTHON_INLINE void* __Pyx_BufPtrFull1d_imp(void* buf, Py_ssize_t i0, Py_ssize_t s0, Py_ssize_t o0) {\n char* ptr = (char*)buf;\nptr += s0 * i0;\nif (o0 >= 0) ptr = *((char**)ptr) + o0;\n\nreturn ptr;\n}\n /* ArgTypeTest */\n static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact)\n{\n if (unlikely(!type)) {\n PyErr_SetString(PyExc_SystemError, \"Missing type object\");\n return 0;\n }\n else if (exact) {\n #if PY_MAJOR_VERSION == 2\n if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1;\n #endif\n }\n else {\n if (likely(__Pyx_TypeCheck(obj, type))) return 1;\n }\n PyErr_Format(PyExc_TypeError,\n \"Argument '%.200s' has incorrect type (expected %.200s, got %.200s)\",\n name, type->tp_name, Py_TYPE(obj)->tp_name);\n return 0;\n}\n\n/* BytesEquals */\n static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) {\n#if CYTHON_COMPILING_IN_PYPY\n return PyObject_RichCompareBool(s1, s2, equals);\n#else\n if (s1 == s2) {\n return (equals == Py_EQ);\n } else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) {\n const char *ps1, *ps2;\n Py_ssize_t length = PyBytes_GET_SIZE(s1);\n if (length != PyBytes_GET_SIZE(s2))\n return (equals == Py_NE);\n ps1 = PyBytes_AS_STRING(s1);\n ps2 = PyBytes_AS_STRING(s2);\n if (ps1[0] != ps2[0]) {\n return (equals == Py_NE);\n } else if (length == 1) {\n return (equals == Py_EQ);\n } else {\n int result;\n#if CYTHON_USE_UNICODE_INTERNALS\n Py_hash_t hash1, hash2;\n hash1 = ((PyBytesObject*)s1)->ob_shash;\n hash2 = ((PyBytesObject*)s2)->ob_shash;\n if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {\n return (equals == Py_NE);\n }\n#endif\n result = memcmp(ps1, ps2, (size_t)length);\n return (equals == Py_EQ) ? (result == 0) : (result != 0);\n }\n } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) {\n return (equals == Py_NE);\n } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) {\n return (equals == Py_NE);\n } else {\n int result;\n PyObject* py_result = PyObject_RichCompare(s1, s2, equals);\n if (!py_result)\n return -1;\n result = __Pyx_PyObject_IsTrue(py_result);\n Py_DECREF(py_result);\n return result;\n }\n#endif\n}\n\n/* UnicodeEquals */\n static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) {\n#if CYTHON_COMPILING_IN_PYPY\n return PyObject_RichCompareBool(s1, s2, equals);\n#else\n#if PY_MAJOR_VERSION < 3\n PyObject* owned_ref = NULL;\n#endif\n int s1_is_unicode, s2_is_unicode;\n if (s1 == s2) {\n goto return_eq;\n }\n s1_is_unicode = PyUnicode_CheckExact(s1);\n s2_is_unicode = PyUnicode_CheckExact(s2);\n#if PY_MAJOR_VERSION < 3\n if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) {\n owned_ref = PyUnicode_FromObject(s2);\n if (unlikely(!owned_ref))\n return -1;\n s2 = owned_ref;\n s2_is_unicode = 1;\n } else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) {\n owned_ref = PyUnicode_FromObject(s1);\n if (unlikely(!owned_ref))\n return -1;\n s1 = owned_ref;\n s1_is_unicode = 1;\n } else if (((!s2_is_unicode) & (!s1_is_unicode))) {\n return __Pyx_PyBytes_Equals(s1, s2, equals);\n }\n#endif\n if (s1_is_unicode & s2_is_unicode) {\n Py_ssize_t length;\n int kind;\n void *data1, *data2;\n if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0))\n return -1;\n length = __Pyx_PyUnicode_GET_LENGTH(s1);\n if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) {\n goto return_ne;\n }\n#if CYTHON_USE_UNICODE_INTERNALS\n {\n Py_hash_t hash1, hash2;\n #if CYTHON_PEP393_ENABLED\n hash1 = ((PyASCIIObject*)s1)->hash;\n hash2 = ((PyASCIIObject*)s2)->hash;\n #else\n hash1 = ((PyUnicodeObject*)s1)->hash;\n hash2 = ((PyUnicodeObject*)s2)->hash;\n #endif\n if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {\n goto return_ne;\n }\n }\n#endif\n kind = __Pyx_PyUnicode_KIND(s1);\n if (kind != __Pyx_PyUnicode_KIND(s2)) {\n goto return_ne;\n }\n data1 = __Pyx_PyUnicode_DATA(s1);\n data2 = __Pyx_PyUnicode_DATA(s2);\n if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) {\n goto return_ne;\n } else if (length == 1) {\n goto return_eq;\n } else {\n int result = memcmp(data1, data2, (size_t)(length * kind));\n #if PY_MAJOR_VERSION < 3\n Py_XDECREF(owned_ref);\n #endif\n return (equals == Py_EQ) ? (result == 0) : (result != 0);\n }\n } else if ((s1 == Py_None) & s2_is_unicode) {\n goto return_ne;\n } else if ((s2 == Py_None) & s1_is_unicode) {\n goto return_ne;\n } else {\n int result;\n PyObject* py_result = PyObject_RichCompare(s1, s2, equals);\n #if PY_MAJOR_VERSION < 3\n Py_XDECREF(owned_ref);\n #endif\n if (!py_result)\n return -1;\n result = __Pyx_PyObject_IsTrue(py_result);\n Py_DECREF(py_result);\n return result;\n }\nreturn_eq:\n #if PY_MAJOR_VERSION < 3\n Py_XDECREF(owned_ref);\n #endif\n return (equals == Py_EQ);\nreturn_ne:\n #if PY_MAJOR_VERSION < 3\n Py_XDECREF(owned_ref);\n #endif\n return (equals == Py_NE);\n#endif\n}\n\n/* None */\n static CYTHON_INLINE Py_ssize_t __Pyx_div_Py_ssize_t(Py_ssize_t a, Py_ssize_t b) {\n Py_ssize_t q = a / b;\n Py_ssize_t r = a - q*b;\n q -= ((r != 0) & ((r ^ b) < 0));\n return q;\n}\n\n/* GetAttr */\n static CYTHON_INLINE PyObject *__Pyx_GetAttr(PyObject *o, PyObject *n) {\n#if CYTHON_USE_TYPE_SLOTS\n#if PY_MAJOR_VERSION >= 3\n if (likely(PyUnicode_Check(n)))\n#else\n if (likely(PyString_Check(n)))\n#endif\n return __Pyx_PyObject_GetAttrStr(o, n);\n#endif\n return PyObject_GetAttr(o, n);\n}\n\n/* decode_c_string */\n static CYTHON_INLINE PyObject* __Pyx_decode_c_string(\n const char* cstring, Py_ssize_t start, Py_ssize_t stop,\n const char* encoding, const char* errors,\n PyObject* (*decode_func)(const char *s, Py_ssize_t size, const char *errors)) {\n Py_ssize_t length;\n if (unlikely((start < 0) | (stop < 0))) {\n size_t slen = strlen(cstring);\n if (unlikely(slen > (size_t) PY_SSIZE_T_MAX)) {\n PyErr_SetString(PyExc_OverflowError,\n \"c-string too long to convert to Python\");\n return NULL;\n }\n length = (Py_ssize_t) slen;\n if (start < 0) {\n start += length;\n if (start < 0)\n start = 0;\n }\n if (stop < 0)\n stop += length;\n }\n length = stop - start;\n if (unlikely(length <= 0))\n return PyUnicode_FromUnicode(NULL, 0);\n cstring += start;\n if (decode_func) {\n return decode_func(cstring, length, errors);\n } else {\n return PyUnicode_Decode(cstring, length, encoding, errors);\n }\n}\n\n/* PyErrExceptionMatches */\n #if CYTHON_FAST_THREAD_STATE\nstatic int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {\n Py_ssize_t i, n;\n n = PyTuple_GET_SIZE(tuple);\n#if PY_MAJOR_VERSION >= 3\n for (i=0; icurexc_type;\n if (exc_type == err) return 1;\n if (unlikely(!exc_type)) return 0;\n if (unlikely(PyTuple_Check(err)))\n return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err);\n return __Pyx_PyErr_GivenExceptionMatches(exc_type, err);\n}\n#endif\n\n/* GetAttr3 */\n static PyObject *__Pyx_GetAttr3Default(PyObject *d) {\n __Pyx_PyThreadState_declare\n __Pyx_PyThreadState_assign\n if (unlikely(!__Pyx_PyErr_ExceptionMatches(PyExc_AttributeError)))\n return NULL;\n __Pyx_PyErr_Clear();\n Py_INCREF(d);\n return d;\n}\nstatic CYTHON_INLINE PyObject *__Pyx_GetAttr3(PyObject *o, PyObject *n, PyObject *d) {\n PyObject *r = __Pyx_GetAttr(o, n);\n return (likely(r)) ? r : __Pyx_GetAttr3Default(d);\n}\n\n/* RaiseNoneIterError */\n static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {\n PyErr_SetString(PyExc_TypeError, \"'NoneType' object is not iterable\");\n}\n\n/* GetTopmostException */\n #if CYTHON_USE_EXC_INFO_STACK\nstatic _PyErr_StackItem *\n__Pyx_PyErr_GetTopmostException(PyThreadState *tstate)\n{\n _PyErr_StackItem *exc_info = tstate->exc_info;\n while ((exc_info->exc_type == NULL || exc_info->exc_type == Py_None) &&\n exc_info->previous_item != NULL)\n {\n exc_info = exc_info->previous_item;\n }\n return exc_info;\n}\n#endif\n\n/* SaveResetException */\n #if CYTHON_FAST_THREAD_STATE\nstatic CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {\n #if CYTHON_USE_EXC_INFO_STACK\n _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate);\n *type = exc_info->exc_type;\n *value = exc_info->exc_value;\n *tb = exc_info->exc_traceback;\n #else\n *type = tstate->exc_type;\n *value = tstate->exc_value;\n *tb = tstate->exc_traceback;\n #endif\n Py_XINCREF(*type);\n Py_XINCREF(*value);\n Py_XINCREF(*tb);\n}\nstatic CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {\n PyObject *tmp_type, *tmp_value, *tmp_tb;\n #if CYTHON_USE_EXC_INFO_STACK\n _PyErr_StackItem *exc_info = tstate->exc_info;\n tmp_type = exc_info->exc_type;\n tmp_value = exc_info->exc_value;\n tmp_tb = exc_info->exc_traceback;\n exc_info->exc_type = type;\n exc_info->exc_value = value;\n exc_info->exc_traceback = tb;\n #else\n tmp_type = tstate->exc_type;\n tmp_value = tstate->exc_value;\n tmp_tb = tstate->exc_traceback;\n tstate->exc_type = type;\n tstate->exc_value = value;\n tstate->exc_traceback = tb;\n #endif\n Py_XDECREF(tmp_type);\n Py_XDECREF(tmp_value);\n Py_XDECREF(tmp_tb);\n}\n#endif\n\n/* GetException */\n #if CYTHON_FAST_THREAD_STATE\nstatic int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb)\n#else\nstatic int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb)\n#endif\n{\n PyObject *local_type, *local_value, *local_tb;\n#if CYTHON_FAST_THREAD_STATE\n PyObject *tmp_type, *tmp_value, *tmp_tb;\n local_type = tstate->curexc_type;\n local_value = tstate->curexc_value;\n local_tb = tstate->curexc_traceback;\n tstate->curexc_type = 0;\n tstate->curexc_value = 0;\n tstate->curexc_traceback = 0;\n#else\n PyErr_Fetch(&local_type, &local_value, &local_tb);\n#endif\n PyErr_NormalizeException(&local_type, &local_value, &local_tb);\n#if CYTHON_FAST_THREAD_STATE\n if (unlikely(tstate->curexc_type))\n#else\n if (unlikely(PyErr_Occurred()))\n#endif\n goto bad;\n #if PY_MAJOR_VERSION >= 3\n if (local_tb) {\n if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0))\n goto bad;\n }\n #endif\n Py_XINCREF(local_tb);\n Py_XINCREF(local_type);\n Py_XINCREF(local_value);\n *type = local_type;\n *value = local_value;\n *tb = local_tb;\n#if CYTHON_FAST_THREAD_STATE\n #if CYTHON_USE_EXC_INFO_STACK\n {\n _PyErr_StackItem *exc_info = tstate->exc_info;\n tmp_type = exc_info->exc_type;\n tmp_value = exc_info->exc_value;\n tmp_tb = exc_info->exc_traceback;\n exc_info->exc_type = local_type;\n exc_info->exc_value = local_value;\n exc_info->exc_traceback = local_tb;\n }\n #else\n tmp_type = tstate->exc_type;\n tmp_value = tstate->exc_value;\n tmp_tb = tstate->exc_traceback;\n tstate->exc_type = local_type;\n tstate->exc_value = local_value;\n tstate->exc_traceback = local_tb;\n #endif\n Py_XDECREF(tmp_type);\n Py_XDECREF(tmp_value);\n Py_XDECREF(tmp_tb);\n#else\n PyErr_SetExcInfo(local_type, local_value, local_tb);\n#endif\n return 0;\nbad:\n *type = 0;\n *value = 0;\n *tb = 0;\n Py_XDECREF(local_type);\n Py_XDECREF(local_value);\n Py_XDECREF(local_tb);\n return -1;\n}\n\n/* SwapException */\n #if CYTHON_FAST_THREAD_STATE\nstatic CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {\n PyObject *tmp_type, *tmp_value, *tmp_tb;\n #if CYTHON_USE_EXC_INFO_STACK\n _PyErr_StackItem *exc_info = tstate->exc_info;\n tmp_type = exc_info->exc_type;\n tmp_value = exc_info->exc_value;\n tmp_tb = exc_info->exc_traceback;\n exc_info->exc_type = *type;\n exc_info->exc_value = *value;\n exc_info->exc_traceback = *tb;\n #else\n tmp_type = tstate->exc_type;\n tmp_value = tstate->exc_value;\n tmp_tb = tstate->exc_traceback;\n tstate->exc_type = *type;\n tstate->exc_value = *value;\n tstate->exc_traceback = *tb;\n #endif\n *type = tmp_type;\n *value = tmp_value;\n *tb = tmp_tb;\n}\n#else\nstatic CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) {\n PyObject *tmp_type, *tmp_value, *tmp_tb;\n PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb);\n PyErr_SetExcInfo(*type, *value, *tb);\n *type = tmp_type;\n *value = tmp_value;\n *tb = tmp_tb;\n}\n#endif\n\n/* Import */\n static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {\n PyObject *empty_list = 0;\n PyObject *module = 0;\n PyObject *global_dict = 0;\n PyObject *empty_dict = 0;\n PyObject *list;\n #if PY_MAJOR_VERSION < 3\n PyObject *py_import;\n py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);\n if (!py_import)\n goto bad;\n #endif\n if (from_list)\n list = from_list;\n else {\n empty_list = PyList_New(0);\n if (!empty_list)\n goto bad;\n list = empty_list;\n }\n global_dict = PyModule_GetDict(__pyx_m);\n if (!global_dict)\n goto bad;\n empty_dict = PyDict_New();\n if (!empty_dict)\n goto bad;\n {\n #if PY_MAJOR_VERSION >= 3\n if (level == -1) {\n if (strchr(__Pyx_MODULE_NAME, '.')) {\n module = PyImport_ImportModuleLevelObject(\n name, global_dict, empty_dict, list, 1);\n if (!module) {\n if (!PyErr_ExceptionMatches(PyExc_ImportError))\n goto bad;\n PyErr_Clear();\n }\n }\n level = 0;\n }\n #endif\n if (!module) {\n #if PY_MAJOR_VERSION < 3\n PyObject *py_level = PyInt_FromLong(level);\n if (!py_level)\n goto bad;\n module = PyObject_CallFunctionObjArgs(py_import,\n name, global_dict, empty_dict, list, py_level, (PyObject *)NULL);\n Py_DECREF(py_level);\n #else\n module = PyImport_ImportModuleLevelObject(\n name, global_dict, empty_dict, list, level);\n #endif\n }\n }\nbad:\n #if PY_MAJOR_VERSION < 3\n Py_XDECREF(py_import);\n #endif\n Py_XDECREF(empty_list);\n Py_XDECREF(empty_dict);\n return module;\n}\n\n/* FastTypeChecks */\n #if CYTHON_COMPILING_IN_CPYTHON\nstatic int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {\n while (a) {\n a = a->tp_base;\n if (a == b)\n return 1;\n }\n return b == &PyBaseObject_Type;\n}\nstatic CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {\n PyObject *mro;\n if (a == b) return 1;\n mro = a->tp_mro;\n if (likely(mro)) {\n Py_ssize_t i, n;\n n = PyTuple_GET_SIZE(mro);\n for (i = 0; i < n; i++) {\n if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)\n return 1;\n }\n return 0;\n }\n return __Pyx_InBases(a, b);\n}\n#if PY_MAJOR_VERSION == 2\nstatic int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {\n PyObject *exception, *value, *tb;\n int res;\n __Pyx_PyThreadState_declare\n __Pyx_PyThreadState_assign\n __Pyx_ErrFetch(&exception, &value, &tb);\n res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;\n if (unlikely(res == -1)) {\n PyErr_WriteUnraisable(err);\n res = 0;\n }\n if (!res) {\n res = PyObject_IsSubclass(err, exc_type2);\n if (unlikely(res == -1)) {\n PyErr_WriteUnraisable(err);\n res = 0;\n }\n }\n __Pyx_ErrRestore(exception, value, tb);\n return res;\n}\n#else\nstatic CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {\n int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;\n if (!res) {\n res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);\n }\n return res;\n}\n#endif\nstatic int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {\n Py_ssize_t i, n;\n assert(PyExceptionClass_Check(exc_type));\n n = PyTuple_GET_SIZE(tuple);\n#if PY_MAJOR_VERSION >= 3\n for (i=0; i= 3\n \"'%.50s' object has no attribute '%U'\",\n tp->tp_name, attr_name);\n#else\n \"'%.50s' object has no attribute '%.400s'\",\n tp->tp_name, PyString_AS_STRING(attr_name));\n#endif\n return NULL;\n}\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) {\n PyObject *descr;\n PyTypeObject *tp = Py_TYPE(obj);\n if (unlikely(!PyString_Check(attr_name))) {\n return PyObject_GenericGetAttr(obj, attr_name);\n }\n assert(!tp->tp_dictoffset);\n descr = _PyType_Lookup(tp, attr_name);\n if (unlikely(!descr)) {\n return __Pyx_RaiseGenericGetAttributeError(tp, attr_name);\n }\n Py_INCREF(descr);\n #if PY_MAJOR_VERSION < 3\n if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS)))\n #endif\n {\n descrgetfunc f = Py_TYPE(descr)->tp_descr_get;\n if (unlikely(f)) {\n PyObject *res = f(descr, obj, (PyObject *)tp);\n Py_DECREF(descr);\n return res;\n }\n }\n return descr;\n}\n#endif\n\n/* PyObject_GenericGetAttr */\n #if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000\nstatic PyObject* __Pyx_PyObject_GenericGetAttr(PyObject* obj, PyObject* attr_name) {\n if (unlikely(Py_TYPE(obj)->tp_dictoffset)) {\n return PyObject_GenericGetAttr(obj, attr_name);\n }\n return __Pyx_PyObject_GenericGetAttrNoDict(obj, attr_name);\n}\n#endif\n\n/* SetupReduce */\n static int __Pyx_setup_reduce_is_named(PyObject* meth, PyObject* name) {\n int ret;\n PyObject *name_attr;\n name_attr = __Pyx_PyObject_GetAttrStr(meth, __pyx_n_s_name_2);\n if (likely(name_attr)) {\n ret = PyObject_RichCompareBool(name_attr, name, Py_EQ);\n } else {\n ret = -1;\n }\n if (unlikely(ret < 0)) {\n PyErr_Clear();\n ret = 0;\n }\n Py_XDECREF(name_attr);\n return ret;\n}\nstatic int __Pyx_setup_reduce(PyObject* type_obj) {\n int ret = 0;\n PyObject *object_reduce = NULL;\n PyObject *object_reduce_ex = NULL;\n PyObject *reduce = NULL;\n PyObject *reduce_ex = NULL;\n PyObject *reduce_cython = NULL;\n PyObject *setstate = NULL;\n PyObject *setstate_cython = NULL;\n#if CYTHON_USE_PYTYPE_LOOKUP\n if (_PyType_Lookup((PyTypeObject*)type_obj, __pyx_n_s_getstate)) goto GOOD;\n#else\n if (PyObject_HasAttr(type_obj, __pyx_n_s_getstate)) goto GOOD;\n#endif\n#if CYTHON_USE_PYTYPE_LOOKUP\n object_reduce_ex = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto BAD;\n#else\n object_reduce_ex = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce_ex); if (!object_reduce_ex) goto BAD;\n#endif\n reduce_ex = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_ex); if (unlikely(!reduce_ex)) goto BAD;\n if (reduce_ex == object_reduce_ex) {\n#if CYTHON_USE_PYTYPE_LOOKUP\n object_reduce = _PyType_Lookup(&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto BAD;\n#else\n object_reduce = __Pyx_PyObject_GetAttrStr((PyObject*)&PyBaseObject_Type, __pyx_n_s_reduce); if (!object_reduce) goto BAD;\n#endif\n reduce = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce); if (unlikely(!reduce)) goto BAD;\n if (reduce == object_reduce || __Pyx_setup_reduce_is_named(reduce, __pyx_n_s_reduce_cython)) {\n reduce_cython = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_reduce_cython); if (unlikely(!reduce_cython)) goto BAD;\n ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce, reduce_cython); if (unlikely(ret < 0)) goto BAD;\n ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_reduce_cython); if (unlikely(ret < 0)) goto BAD;\n setstate = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate);\n if (!setstate) PyErr_Clear();\n if (!setstate || __Pyx_setup_reduce_is_named(setstate, __pyx_n_s_setstate_cython)) {\n setstate_cython = __Pyx_PyObject_GetAttrStr(type_obj, __pyx_n_s_setstate_cython); if (unlikely(!setstate_cython)) goto BAD;\n ret = PyDict_SetItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate, setstate_cython); if (unlikely(ret < 0)) goto BAD;\n ret = PyDict_DelItem(((PyTypeObject*)type_obj)->tp_dict, __pyx_n_s_setstate_cython); if (unlikely(ret < 0)) goto BAD;\n }\n PyType_Modified((PyTypeObject*)type_obj);\n }\n }\n goto GOOD;\nBAD:\n if (!PyErr_Occurred())\n PyErr_Format(PyExc_RuntimeError, \"Unable to initialize pickling for %s\", ((PyTypeObject*)type_obj)->tp_name);\n ret = -1;\nGOOD:\n#if !CYTHON_USE_PYTYPE_LOOKUP\n Py_XDECREF(object_reduce);\n Py_XDECREF(object_reduce_ex);\n#endif\n Py_XDECREF(reduce);\n Py_XDECREF(reduce_ex);\n Py_XDECREF(reduce_cython);\n Py_XDECREF(setstate);\n Py_XDECREF(setstate_cython);\n return ret;\n}\n\n/* SetVTable */\n static int __Pyx_SetVtable(PyObject *dict, void *vtable) {\n#if PY_VERSION_HEX >= 0x02070000\n PyObject *ob = PyCapsule_New(vtable, 0, 0);\n#else\n PyObject *ob = PyCObject_FromVoidPtr(vtable, 0);\n#endif\n if (!ob)\n goto bad;\n if (PyDict_SetItem(dict, __pyx_n_s_pyx_vtable, ob) < 0)\n goto bad;\n Py_DECREF(ob);\n return 0;\nbad:\n Py_XDECREF(ob);\n return -1;\n}\n\n/* TypeImport */\n #ifndef __PYX_HAVE_RT_ImportType\n#define __PYX_HAVE_RT_ImportType\nstatic PyTypeObject *__Pyx_ImportType(PyObject *module, const char *module_name, const char *class_name,\n size_t size, enum __Pyx_ImportType_CheckSize check_size)\n{\n PyObject *result = 0;\n char warning[200];\n Py_ssize_t basicsize;\n#ifdef Py_LIMITED_API\n PyObject *py_basicsize;\n#endif\n result = PyObject_GetAttrString(module, class_name);\n if (!result)\n goto bad;\n if (!PyType_Check(result)) {\n PyErr_Format(PyExc_TypeError,\n \"%.200s.%.200s is not a type object\",\n module_name, class_name);\n goto bad;\n }\n#ifndef Py_LIMITED_API\n basicsize = ((PyTypeObject *)result)->tp_basicsize;\n#else\n py_basicsize = PyObject_GetAttrString(result, \"__basicsize__\");\n if (!py_basicsize)\n goto bad;\n basicsize = PyLong_AsSsize_t(py_basicsize);\n Py_DECREF(py_basicsize);\n py_basicsize = 0;\n if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred())\n goto bad;\n#endif\n if ((size_t)basicsize < size) {\n PyErr_Format(PyExc_ValueError,\n \"%.200s.%.200s size changed, may indicate binary incompatibility. \"\n \"Expected %zd from C header, got %zd from PyObject\",\n module_name, class_name, size, basicsize);\n goto bad;\n }\n if (check_size == __Pyx_ImportType_CheckSize_Error && (size_t)basicsize != size) {\n PyErr_Format(PyExc_ValueError,\n \"%.200s.%.200s size changed, may indicate binary incompatibility. \"\n \"Expected %zd from C header, got %zd from PyObject\",\n module_name, class_name, size, basicsize);\n goto bad;\n }\n else if (check_size == __Pyx_ImportType_CheckSize_Warn && (size_t)basicsize > size) {\n PyOS_snprintf(warning, sizeof(warning),\n \"%s.%s size changed, may indicate binary incompatibility. \"\n \"Expected %zd from C header, got %zd from PyObject\",\n module_name, class_name, size, basicsize);\n if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;\n }\n return (PyTypeObject *)result;\nbad:\n Py_XDECREF(result);\n return NULL;\n}\n#endif\n\n/* CLineInTraceback */\n #ifndef CYTHON_CLINE_IN_TRACEBACK\nstatic int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) {\n PyObject *use_cline;\n PyObject *ptype, *pvalue, *ptraceback;\n#if CYTHON_COMPILING_IN_CPYTHON\n PyObject **cython_runtime_dict;\n#endif\n if (unlikely(!__pyx_cython_runtime)) {\n return c_line;\n }\n __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);\n#if CYTHON_COMPILING_IN_CPYTHON\n cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime);\n if (likely(cython_runtime_dict)) {\n __PYX_PY_DICT_LOOKUP_IF_MODIFIED(\n use_cline, *cython_runtime_dict,\n __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback))\n } else\n#endif\n {\n PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback);\n if (use_cline_obj) {\n use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True;\n Py_DECREF(use_cline_obj);\n } else {\n PyErr_Clear();\n use_cline = NULL;\n }\n }\n if (!use_cline) {\n c_line = 0;\n PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False);\n }\n else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) {\n c_line = 0;\n }\n __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);\n return c_line;\n}\n#endif\n\n/* CodeObjectCache */\n static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {\n int start = 0, mid = 0, end = count - 1;\n if (end >= 0 && code_line > entries[end].code_line) {\n return count;\n }\n while (start < end) {\n mid = start + (end - start) / 2;\n if (code_line < entries[mid].code_line) {\n end = mid;\n } else if (code_line > entries[mid].code_line) {\n start = mid + 1;\n } else {\n return mid;\n }\n }\n if (code_line <= entries[mid].code_line) {\n return mid;\n } else {\n return mid + 1;\n }\n}\nstatic PyCodeObject *__pyx_find_code_object(int code_line) {\n PyCodeObject* code_object;\n int pos;\n if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {\n return NULL;\n }\n pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);\n if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {\n return NULL;\n }\n code_object = __pyx_code_cache.entries[pos].code_object;\n Py_INCREF(code_object);\n return code_object;\n}\nstatic void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {\n int pos, i;\n __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;\n if (unlikely(!code_line)) {\n return;\n }\n if (unlikely(!entries)) {\n entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));\n if (likely(entries)) {\n __pyx_code_cache.entries = entries;\n __pyx_code_cache.max_count = 64;\n __pyx_code_cache.count = 1;\n entries[0].code_line = code_line;\n entries[0].code_object = code_object;\n Py_INCREF(code_object);\n }\n return;\n }\n pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);\n if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {\n PyCodeObject* tmp = entries[pos].code_object;\n entries[pos].code_object = code_object;\n Py_DECREF(tmp);\n return;\n }\n if (__pyx_code_cache.count == __pyx_code_cache.max_count) {\n int new_max = __pyx_code_cache.max_count + 64;\n entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(\n __pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry));\n if (unlikely(!entries)) {\n return;\n }\n __pyx_code_cache.entries = entries;\n __pyx_code_cache.max_count = new_max;\n }\n for (i=__pyx_code_cache.count; i>pos; i--) {\n entries[i] = entries[i-1];\n }\n entries[pos].code_line = code_line;\n entries[pos].code_object = code_object;\n __pyx_code_cache.count++;\n Py_INCREF(code_object);\n}\n\n/* AddTraceback */\n #include \"compile.h\"\n#include \"frameobject.h\"\n#include \"traceback.h\"\nstatic PyCodeObject* __Pyx_CreateCodeObjectForTraceback(\n const char *funcname, int c_line,\n int py_line, const char *filename) {\n PyCodeObject *py_code = 0;\n PyObject *py_srcfile = 0;\n PyObject *py_funcname = 0;\n #if PY_MAJOR_VERSION < 3\n py_srcfile = PyString_FromString(filename);\n #else\n py_srcfile = PyUnicode_FromString(filename);\n #endif\n if (!py_srcfile) goto bad;\n if (c_line) {\n #if PY_MAJOR_VERSION < 3\n py_funcname = PyString_FromFormat( \"%s (%s:%d)\", funcname, __pyx_cfilenm, c_line);\n #else\n py_funcname = PyUnicode_FromFormat( \"%s (%s:%d)\", funcname, __pyx_cfilenm, c_line);\n #endif\n }\n else {\n #if PY_MAJOR_VERSION < 3\n py_funcname = PyString_FromString(funcname);\n #else\n py_funcname = PyUnicode_FromString(funcname);\n #endif\n }\n if (!py_funcname) goto bad;\n py_code = __Pyx_PyCode_New(\n 0,\n 0,\n 0,\n 0,\n 0,\n __pyx_empty_bytes, /*PyObject *code,*/\n __pyx_empty_tuple, /*PyObject *consts,*/\n __pyx_empty_tuple, /*PyObject *names,*/\n __pyx_empty_tuple, /*PyObject *varnames,*/\n __pyx_empty_tuple, /*PyObject *freevars,*/\n __pyx_empty_tuple, /*PyObject *cellvars,*/\n py_srcfile, /*PyObject *filename,*/\n py_funcname, /*PyObject *name,*/\n py_line,\n __pyx_empty_bytes /*PyObject *lnotab*/\n );\n Py_DECREF(py_srcfile);\n Py_DECREF(py_funcname);\n return py_code;\nbad:\n Py_XDECREF(py_srcfile);\n Py_XDECREF(py_funcname);\n return NULL;\n}\nstatic void __Pyx_AddTraceback(const char *funcname, int c_line,\n int py_line, const char *filename) {\n PyCodeObject *py_code = 0;\n PyFrameObject *py_frame = 0;\n PyThreadState *tstate = __Pyx_PyThreadState_Current;\n if (c_line) {\n c_line = __Pyx_CLineForTraceback(tstate, c_line);\n }\n py_code = __pyx_find_code_object(c_line ? -c_line : py_line);\n if (!py_code) {\n py_code = __Pyx_CreateCodeObjectForTraceback(\n funcname, c_line, py_line, filename);\n if (!py_code) goto bad;\n __pyx_insert_code_object(c_line ? -c_line : py_line, py_code);\n }\n py_frame = PyFrame_New(\n tstate, /*PyThreadState *tstate,*/\n py_code, /*PyCodeObject *code,*/\n __pyx_d, /*PyObject *globals,*/\n 0 /*PyObject *locals*/\n );\n if (!py_frame) goto bad;\n __Pyx_PyFrame_SetLineNumber(py_frame, py_line);\n PyTraceBack_Here(py_frame);\nbad:\n Py_XDECREF(py_code);\n Py_XDECREF(py_frame);\n}\n\n#if PY_MAJOR_VERSION < 3\nstatic int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {\n if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);\n if (__Pyx_TypeCheck(obj, __pyx_ptype_7cpython_5array_array)) return __pyx_pw_7cpython_5array_5array_1__getbuffer__(obj, view, flags);\n if (__Pyx_TypeCheck(obj, __pyx_array_type)) return __pyx_array_getbuffer(obj, view, flags);\n if (__Pyx_TypeCheck(obj, __pyx_memoryview_type)) return __pyx_memoryview_getbuffer(obj, view, flags);\n PyErr_Format(PyExc_TypeError, \"'%.200s' does not have the buffer interface\", Py_TYPE(obj)->tp_name);\n return -1;\n}\nstatic void __Pyx_ReleaseBuffer(Py_buffer *view) {\n PyObject *obj = view->obj;\n if (!obj) return;\n if (PyObject_CheckBuffer(obj)) {\n PyBuffer_Release(view);\n return;\n }\n if ((0)) {}\n else if (__Pyx_TypeCheck(obj, __pyx_ptype_7cpython_5array_array)) __pyx_pw_7cpython_5array_5array_3__releasebuffer__(obj, view);\n view->obj = NULL;\n Py_DECREF(obj);\n}\n#endif\n\n\n /* MemviewSliceIsContig */\n static int\n__pyx_memviewslice_is_contig(const __Pyx_memviewslice mvs, char order, int ndim)\n{\n int i, index, step, start;\n Py_ssize_t itemsize = mvs.memview->view.itemsize;\n if (order == 'F') {\n step = 1;\n start = 0;\n } else {\n step = -1;\n start = ndim - 1;\n }\n for (i = 0; i < ndim; i++) {\n index = start + step * i;\n if (mvs.suboffsets[index] >= 0 || mvs.strides[index] != itemsize)\n return 0;\n itemsize *= mvs.shape[index];\n }\n return 1;\n}\n\n/* OverlappingSlices */\n static void\n__pyx_get_array_memory_extents(__Pyx_memviewslice *slice,\n void **out_start, void **out_end,\n int ndim, size_t itemsize)\n{\n char *start, *end;\n int i;\n start = end = slice->data;\n for (i = 0; i < ndim; i++) {\n Py_ssize_t stride = slice->strides[i];\n Py_ssize_t extent = slice->shape[i];\n if (extent == 0) {\n *out_start = *out_end = start;\n return;\n } else {\n if (stride > 0)\n end += stride * (extent - 1);\n else\n start += stride * (extent - 1);\n }\n }\n *out_start = start;\n *out_end = end + itemsize;\n}\nstatic int\n__pyx_slices_overlap(__Pyx_memviewslice *slice1,\n __Pyx_memviewslice *slice2,\n int ndim, size_t itemsize)\n{\n void *start1, *end1, *start2, *end2;\n __pyx_get_array_memory_extents(slice1, &start1, &end1, ndim, itemsize);\n __pyx_get_array_memory_extents(slice2, &start2, &end2, ndim, itemsize);\n return (start1 < end2) && (start2 < end1);\n}\n\n/* Capsule */\n static CYTHON_INLINE PyObject *\n__pyx_capsule_create(void *p, CYTHON_UNUSED const char *sig)\n{\n PyObject *cobj;\n#if PY_VERSION_HEX >= 0x02070000\n cobj = PyCapsule_New(p, sig, NULL);\n#else\n cobj = PyCObject_FromVoidPtr(p, NULL);\n#endif\n return cobj;\n}\n\n/* CIntToPy */\n static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {\n const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;\n const int is_unsigned = neg_one > const_zero;\n if (is_unsigned) {\n if (sizeof(long) < sizeof(long)) {\n return PyInt_FromLong((long) value);\n } else if (sizeof(long) <= sizeof(unsigned long)) {\n return PyLong_FromUnsignedLong((unsigned long) value);\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {\n return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);\n#endif\n }\n } else {\n if (sizeof(long) <= sizeof(long)) {\n return PyInt_FromLong((long) value);\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {\n return PyLong_FromLongLong((PY_LONG_LONG) value);\n#endif\n }\n }\n {\n int one = 1; int little = (int)*(unsigned char *)&one;\n unsigned char *bytes = (unsigned char *)&value;\n return _PyLong_FromByteArray(bytes, sizeof(long),\n little, !is_unsigned);\n }\n}\n\n/* CIntToPy */\n static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {\n const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;\n const int is_unsigned = neg_one > const_zero;\n if (is_unsigned) {\n if (sizeof(int) < sizeof(long)) {\n return PyInt_FromLong((long) value);\n } else if (sizeof(int) <= sizeof(unsigned long)) {\n return PyLong_FromUnsignedLong((unsigned long) value);\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {\n return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);\n#endif\n }\n } else {\n if (sizeof(int) <= sizeof(long)) {\n return PyInt_FromLong((long) value);\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {\n return PyLong_FromLongLong((PY_LONG_LONG) value);\n#endif\n }\n }\n {\n int one = 1; int little = (int)*(unsigned char *)&one;\n unsigned char *bytes = (unsigned char *)&value;\n return _PyLong_FromByteArray(bytes, sizeof(int),\n little, !is_unsigned);\n }\n}\n\n/* CIntFromPyVerify */\n #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\\\n __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0)\n#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\\\n __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1)\n#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\\\n {\\\n func_type value = func_value;\\\n if (sizeof(target_type) < sizeof(func_type)) {\\\n if (unlikely(value != (func_type) (target_type) value)) {\\\n func_type zero = 0;\\\n if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\\\n return (target_type) -1;\\\n if (is_unsigned && unlikely(value < zero))\\\n goto raise_neg_overflow;\\\n else\\\n goto raise_overflow;\\\n }\\\n }\\\n return (target_type) value;\\\n }\n\n/* MemviewSliceCopyTemplate */\n static __Pyx_memviewslice\n__pyx_memoryview_copy_new_contig(const __Pyx_memviewslice *from_mvs,\n const char *mode, int ndim,\n size_t sizeof_dtype, int contig_flag,\n int dtype_is_object)\n{\n __Pyx_RefNannyDeclarations\n int i;\n __Pyx_memviewslice new_mvs = { 0, 0, { 0 }, { 0 }, { 0 } };\n struct __pyx_memoryview_obj *from_memview = from_mvs->memview;\n Py_buffer *buf = &from_memview->view;\n PyObject *shape_tuple = NULL;\n PyObject *temp_int = NULL;\n struct __pyx_array_obj *array_obj = NULL;\n struct __pyx_memoryview_obj *memview_obj = NULL;\n __Pyx_RefNannySetupContext(\"__pyx_memoryview_copy_new_contig\", 0);\n for (i = 0; i < ndim; i++) {\n if (from_mvs->suboffsets[i] >= 0) {\n PyErr_Format(PyExc_ValueError, \"Cannot copy memoryview slice with \"\n \"indirect dimensions (axis %d)\", i);\n goto fail;\n }\n }\n shape_tuple = PyTuple_New(ndim);\n if (unlikely(!shape_tuple)) {\n goto fail;\n }\n __Pyx_GOTREF(shape_tuple);\n for(i = 0; i < ndim; i++) {\n temp_int = PyInt_FromSsize_t(from_mvs->shape[i]);\n if(unlikely(!temp_int)) {\n goto fail;\n } else {\n PyTuple_SET_ITEM(shape_tuple, i, temp_int);\n temp_int = NULL;\n }\n }\n array_obj = __pyx_array_new(shape_tuple, sizeof_dtype, buf->format, (char *) mode, NULL);\n if (unlikely(!array_obj)) {\n goto fail;\n }\n __Pyx_GOTREF(array_obj);\n memview_obj = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(\n (PyObject *) array_obj, contig_flag,\n dtype_is_object,\n from_mvs->memview->typeinfo);\n if (unlikely(!memview_obj))\n goto fail;\n if (unlikely(__Pyx_init_memviewslice(memview_obj, ndim, &new_mvs, 1) < 0))\n goto fail;\n if (unlikely(__pyx_memoryview_copy_contents(*from_mvs, new_mvs, ndim, ndim,\n dtype_is_object) < 0))\n goto fail;\n goto no_fail;\nfail:\n __Pyx_XDECREF(new_mvs.memview);\n new_mvs.memview = NULL;\n new_mvs.data = NULL;\nno_fail:\n __Pyx_XDECREF(shape_tuple);\n __Pyx_XDECREF(temp_int);\n __Pyx_XDECREF(array_obj);\n __Pyx_RefNannyFinishContext();\n return new_mvs;\n}\n\n/* CIntFromPy */\n static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {\n const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;\n const int is_unsigned = neg_one > const_zero;\n#if PY_MAJOR_VERSION < 3\n if (likely(PyInt_Check(x))) {\n if (sizeof(int) < sizeof(long)) {\n __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))\n } else {\n long val = PyInt_AS_LONG(x);\n if (is_unsigned && unlikely(val < 0)) {\n goto raise_neg_overflow;\n }\n return (int) val;\n }\n } else\n#endif\n if (likely(PyLong_Check(x))) {\n if (is_unsigned) {\n#if CYTHON_USE_PYLONG_INTERNALS\n const digit* digits = ((PyLongObject*)x)->ob_digit;\n switch (Py_SIZE(x)) {\n case 0: return (int) 0;\n case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])\n case 2:\n if (8 * sizeof(int) > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {\n return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));\n }\n }\n break;\n case 3:\n if (8 * sizeof(int) > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {\n return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));\n }\n }\n break;\n case 4:\n if (8 * sizeof(int) > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {\n return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));\n }\n }\n break;\n }\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON\n if (unlikely(Py_SIZE(x) < 0)) {\n goto raise_neg_overflow;\n }\n#else\n {\n int result = PyObject_RichCompareBool(x, Py_False, Py_LT);\n if (unlikely(result < 0))\n return (int) -1;\n if (unlikely(result == 1))\n goto raise_neg_overflow;\n }\n#endif\n if (sizeof(int) <= sizeof(unsigned long)) {\n __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {\n __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))\n#endif\n }\n } else {\n#if CYTHON_USE_PYLONG_INTERNALS\n const digit* digits = ((PyLongObject*)x)->ob_digit;\n switch (Py_SIZE(x)) {\n case 0: return (int) 0;\n case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0]))\n case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0])\n case -2:\n if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {\n return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n }\n }\n break;\n case 2:\n if (8 * sizeof(int) > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {\n return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n }\n }\n break;\n case -3:\n if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {\n return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n }\n }\n break;\n case 3:\n if (8 * sizeof(int) > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {\n return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n }\n }\n break;\n case -4:\n if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {\n return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n }\n }\n break;\n case 4:\n if (8 * sizeof(int) > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {\n return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n }\n }\n break;\n }\n#endif\n if (sizeof(int) <= sizeof(long)) {\n __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {\n __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))\n#endif\n }\n }\n {\n#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)\n PyErr_SetString(PyExc_RuntimeError,\n \"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers\");\n#else\n int val;\n PyObject *v = __Pyx_PyNumber_IntOrLong(x);\n #if PY_MAJOR_VERSION < 3\n if (likely(v) && !PyLong_Check(v)) {\n PyObject *tmp = v;\n v = PyNumber_Long(tmp);\n Py_DECREF(tmp);\n }\n #endif\n if (likely(v)) {\n int one = 1; int is_little = (int)*(unsigned char *)&one;\n unsigned char *bytes = (unsigned char *)&val;\n int ret = _PyLong_AsByteArray((PyLongObject *)v,\n bytes, sizeof(val),\n is_little, !is_unsigned);\n Py_DECREF(v);\n if (likely(!ret))\n return val;\n }\n#endif\n return (int) -1;\n }\n } else {\n int val;\n PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);\n if (!tmp) return (int) -1;\n val = __Pyx_PyInt_As_int(tmp);\n Py_DECREF(tmp);\n return val;\n }\nraise_overflow:\n PyErr_SetString(PyExc_OverflowError,\n \"value too large to convert to int\");\n return (int) -1;\nraise_neg_overflow:\n PyErr_SetString(PyExc_OverflowError,\n \"can't convert negative value to int\");\n return (int) -1;\n}\n\n/* CIntFromPy */\n static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {\n const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;\n const int is_unsigned = neg_one > const_zero;\n#if PY_MAJOR_VERSION < 3\n if (likely(PyInt_Check(x))) {\n if (sizeof(long) < sizeof(long)) {\n __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))\n } else {\n long val = PyInt_AS_LONG(x);\n if (is_unsigned && unlikely(val < 0)) {\n goto raise_neg_overflow;\n }\n return (long) val;\n }\n } else\n#endif\n if (likely(PyLong_Check(x))) {\n if (is_unsigned) {\n#if CYTHON_USE_PYLONG_INTERNALS\n const digit* digits = ((PyLongObject*)x)->ob_digit;\n switch (Py_SIZE(x)) {\n case 0: return (long) 0;\n case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])\n case 2:\n if (8 * sizeof(long) > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {\n return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));\n }\n }\n break;\n case 3:\n if (8 * sizeof(long) > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {\n return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));\n }\n }\n break;\n case 4:\n if (8 * sizeof(long) > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {\n return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));\n }\n }\n break;\n }\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON\n if (unlikely(Py_SIZE(x) < 0)) {\n goto raise_neg_overflow;\n }\n#else\n {\n int result = PyObject_RichCompareBool(x, Py_False, Py_LT);\n if (unlikely(result < 0))\n return (long) -1;\n if (unlikely(result == 1))\n goto raise_neg_overflow;\n }\n#endif\n if (sizeof(long) <= sizeof(unsigned long)) {\n __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {\n __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))\n#endif\n }\n } else {\n#if CYTHON_USE_PYLONG_INTERNALS\n const digit* digits = ((PyLongObject*)x)->ob_digit;\n switch (Py_SIZE(x)) {\n case 0: return (long) 0;\n case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0]))\n case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0])\n case -2:\n if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {\n return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n }\n }\n break;\n case 2:\n if (8 * sizeof(long) > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {\n return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n }\n }\n break;\n case -3:\n if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {\n return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n }\n }\n break;\n case 3:\n if (8 * sizeof(long) > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {\n return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n }\n }\n break;\n case -4:\n if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {\n return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n }\n }\n break;\n case 4:\n if (8 * sizeof(long) > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {\n return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n }\n }\n break;\n }\n#endif\n if (sizeof(long) <= sizeof(long)) {\n __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {\n __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))\n#endif\n }\n }\n {\n#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)\n PyErr_SetString(PyExc_RuntimeError,\n \"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers\");\n#else\n long val;\n PyObject *v = __Pyx_PyNumber_IntOrLong(x);\n #if PY_MAJOR_VERSION < 3\n if (likely(v) && !PyLong_Check(v)) {\n PyObject *tmp = v;\n v = PyNumber_Long(tmp);\n Py_DECREF(tmp);\n }\n #endif\n if (likely(v)) {\n int one = 1; int is_little = (int)*(unsigned char *)&one;\n unsigned char *bytes = (unsigned char *)&val;\n int ret = _PyLong_AsByteArray((PyLongObject *)v,\n bytes, sizeof(val),\n is_little, !is_unsigned);\n Py_DECREF(v);\n if (likely(!ret))\n return val;\n }\n#endif\n return (long) -1;\n }\n } else {\n long val;\n PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);\n if (!tmp) return (long) -1;\n val = __Pyx_PyInt_As_long(tmp);\n Py_DECREF(tmp);\n return val;\n }\nraise_overflow:\n PyErr_SetString(PyExc_OverflowError,\n \"value too large to convert to long\");\n return (long) -1;\nraise_neg_overflow:\n PyErr_SetString(PyExc_OverflowError,\n \"can't convert negative value to long\");\n return (long) -1;\n}\n\n/* CIntFromPy */\n static CYTHON_INLINE char __Pyx_PyInt_As_char(PyObject *x) {\n const char neg_one = (char) ((char) 0 - (char) 1), const_zero = (char) 0;\n const int is_unsigned = neg_one > const_zero;\n#if PY_MAJOR_VERSION < 3\n if (likely(PyInt_Check(x))) {\n if (sizeof(char) < sizeof(long)) {\n __PYX_VERIFY_RETURN_INT(char, long, PyInt_AS_LONG(x))\n } else {\n long val = PyInt_AS_LONG(x);\n if (is_unsigned && unlikely(val < 0)) {\n goto raise_neg_overflow;\n }\n return (char) val;\n }\n } else\n#endif\n if (likely(PyLong_Check(x))) {\n if (is_unsigned) {\n#if CYTHON_USE_PYLONG_INTERNALS\n const digit* digits = ((PyLongObject*)x)->ob_digit;\n switch (Py_SIZE(x)) {\n case 0: return (char) 0;\n case 1: __PYX_VERIFY_RETURN_INT(char, digit, digits[0])\n case 2:\n if (8 * sizeof(char) > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(char) >= 2 * PyLong_SHIFT) {\n return (char) (((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));\n }\n }\n break;\n case 3:\n if (8 * sizeof(char) > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(char) >= 3 * PyLong_SHIFT) {\n return (char) (((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));\n }\n }\n break;\n case 4:\n if (8 * sizeof(char) > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(char) >= 4 * PyLong_SHIFT) {\n return (char) (((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0]));\n }\n }\n break;\n }\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON\n if (unlikely(Py_SIZE(x) < 0)) {\n goto raise_neg_overflow;\n }\n#else\n {\n int result = PyObject_RichCompareBool(x, Py_False, Py_LT);\n if (unlikely(result < 0))\n return (char) -1;\n if (unlikely(result == 1))\n goto raise_neg_overflow;\n }\n#endif\n if (sizeof(char) <= sizeof(unsigned long)) {\n __PYX_VERIFY_RETURN_INT_EXC(char, unsigned long, PyLong_AsUnsignedLong(x))\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(char) <= sizeof(unsigned PY_LONG_LONG)) {\n __PYX_VERIFY_RETURN_INT_EXC(char, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))\n#endif\n }\n } else {\n#if CYTHON_USE_PYLONG_INTERNALS\n const digit* digits = ((PyLongObject*)x)->ob_digit;\n switch (Py_SIZE(x)) {\n case 0: return (char) 0;\n case -1: __PYX_VERIFY_RETURN_INT(char, sdigit, (sdigit) (-(sdigit)digits[0]))\n case 1: __PYX_VERIFY_RETURN_INT(char, digit, +digits[0])\n case -2:\n if (8 * sizeof(char) - 1 > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {\n return (char) (((char)-1)*(((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));\n }\n }\n break;\n case 2:\n if (8 * sizeof(char) > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {\n return (char) ((((((char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));\n }\n }\n break;\n case -3:\n if (8 * sizeof(char) - 1 > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {\n return (char) (((char)-1)*(((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));\n }\n }\n break;\n case 3:\n if (8 * sizeof(char) > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {\n return (char) ((((((((char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));\n }\n }\n break;\n case -4:\n if (8 * sizeof(char) - 1 > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(char, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {\n return (char) (((char)-1)*(((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));\n }\n }\n break;\n case 4:\n if (8 * sizeof(char) > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(char, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(char) - 1 > 4 * PyLong_SHIFT) {\n return (char) ((((((((((char)digits[3]) << PyLong_SHIFT) | (char)digits[2]) << PyLong_SHIFT) | (char)digits[1]) << PyLong_SHIFT) | (char)digits[0])));\n }\n }\n break;\n }\n#endif\n if (sizeof(char) <= sizeof(long)) {\n __PYX_VERIFY_RETURN_INT_EXC(char, long, PyLong_AsLong(x))\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(char) <= sizeof(PY_LONG_LONG)) {\n __PYX_VERIFY_RETURN_INT_EXC(char, PY_LONG_LONG, PyLong_AsLongLong(x))\n#endif\n }\n }\n {\n#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)\n PyErr_SetString(PyExc_RuntimeError,\n \"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers\");\n#else\n char val;\n PyObject *v = __Pyx_PyNumber_IntOrLong(x);\n #if PY_MAJOR_VERSION < 3\n if (likely(v) && !PyLong_Check(v)) {\n PyObject *tmp = v;\n v = PyNumber_Long(tmp);\n Py_DECREF(tmp);\n }\n #endif\n if (likely(v)) {\n int one = 1; int is_little = (int)*(unsigned char *)&one;\n unsigned char *bytes = (unsigned char *)&val;\n int ret = _PyLong_AsByteArray((PyLongObject *)v,\n bytes, sizeof(val),\n is_little, !is_unsigned);\n Py_DECREF(v);\n if (likely(!ret))\n return val;\n }\n#endif\n return (char) -1;\n }\n } else {\n char val;\n PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);\n if (!tmp) return (char) -1;\n val = __Pyx_PyInt_As_char(tmp);\n Py_DECREF(tmp);\n return val;\n }\nraise_overflow:\n PyErr_SetString(PyExc_OverflowError,\n \"value too large to convert to char\");\n return (char) -1;\nraise_neg_overflow:\n PyErr_SetString(PyExc_OverflowError,\n \"can't convert negative value to char\");\n return (char) -1;\n}\n\n/* FetchCommonType */\n static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type) {\n PyObject* fake_module;\n PyTypeObject* cached_type = NULL;\n fake_module = PyImport_AddModule((char*) \"_cython_\" CYTHON_ABI);\n if (!fake_module) return NULL;\n Py_INCREF(fake_module);\n cached_type = (PyTypeObject*) PyObject_GetAttrString(fake_module, type->tp_name);\n if (cached_type) {\n if (!PyType_Check((PyObject*)cached_type)) {\n PyErr_Format(PyExc_TypeError,\n \"Shared Cython type %.200s is not a type object\",\n type->tp_name);\n goto bad;\n }\n if (cached_type->tp_basicsize != type->tp_basicsize) {\n PyErr_Format(PyExc_TypeError,\n \"Shared Cython type %.200s has the wrong size, try recompiling\",\n type->tp_name);\n goto bad;\n }\n } else {\n if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad;\n PyErr_Clear();\n if (PyType_Ready(type) < 0) goto bad;\n if (PyObject_SetAttrString(fake_module, type->tp_name, (PyObject*) type) < 0)\n goto bad;\n Py_INCREF(type);\n cached_type = type;\n }\ndone:\n Py_DECREF(fake_module);\n return cached_type;\nbad:\n Py_XDECREF(cached_type);\n cached_type = NULL;\n goto done;\n}\n\n/* PyObjectGetMethod */\n static int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method) {\n PyObject *attr;\n#if CYTHON_UNPACK_METHODS && CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_PYTYPE_LOOKUP\n PyTypeObject *tp = Py_TYPE(obj);\n PyObject *descr;\n descrgetfunc f = NULL;\n PyObject **dictptr, *dict;\n int meth_found = 0;\n assert (*method == NULL);\n if (unlikely(tp->tp_getattro != PyObject_GenericGetAttr)) {\n attr = __Pyx_PyObject_GetAttrStr(obj, name);\n goto try_unpack;\n }\n if (unlikely(tp->tp_dict == NULL) && unlikely(PyType_Ready(tp) < 0)) {\n return 0;\n }\n descr = _PyType_Lookup(tp, name);\n if (likely(descr != NULL)) {\n Py_INCREF(descr);\n#if PY_MAJOR_VERSION >= 3\n #ifdef __Pyx_CyFunction_USED\n if (likely(PyFunction_Check(descr) || (Py_TYPE(descr) == &PyMethodDescr_Type) || __Pyx_CyFunction_Check(descr)))\n #else\n if (likely(PyFunction_Check(descr) || (Py_TYPE(descr) == &PyMethodDescr_Type)))\n #endif\n#else\n #ifdef __Pyx_CyFunction_USED\n if (likely(PyFunction_Check(descr) || __Pyx_CyFunction_Check(descr)))\n #else\n if (likely(PyFunction_Check(descr)))\n #endif\n#endif\n {\n meth_found = 1;\n } else {\n f = Py_TYPE(descr)->tp_descr_get;\n if (f != NULL && PyDescr_IsData(descr)) {\n attr = f(descr, obj, (PyObject *)Py_TYPE(obj));\n Py_DECREF(descr);\n goto try_unpack;\n }\n }\n }\n dictptr = _PyObject_GetDictPtr(obj);\n if (dictptr != NULL && (dict = *dictptr) != NULL) {\n Py_INCREF(dict);\n attr = __Pyx_PyDict_GetItemStr(dict, name);\n if (attr != NULL) {\n Py_INCREF(attr);\n Py_DECREF(dict);\n Py_XDECREF(descr);\n goto try_unpack;\n }\n Py_DECREF(dict);\n }\n if (meth_found) {\n *method = descr;\n return 1;\n }\n if (f != NULL) {\n attr = f(descr, obj, (PyObject *)Py_TYPE(obj));\n Py_DECREF(descr);\n goto try_unpack;\n }\n if (descr != NULL) {\n *method = descr;\n return 0;\n }\n PyErr_Format(PyExc_AttributeError,\n#if PY_MAJOR_VERSION >= 3\n \"'%.50s' object has no attribute '%U'\",\n tp->tp_name, name);\n#else\n \"'%.50s' object has no attribute '%.400s'\",\n tp->tp_name, PyString_AS_STRING(name));\n#endif\n return 0;\n#else\n attr = __Pyx_PyObject_GetAttrStr(obj, name);\n goto try_unpack;\n#endif\ntry_unpack:\n#if CYTHON_UNPACK_METHODS\n if (likely(attr) && PyMethod_Check(attr) && likely(PyMethod_GET_SELF(attr) == obj)) {\n PyObject *function = PyMethod_GET_FUNCTION(attr);\n Py_INCREF(function);\n Py_DECREF(attr);\n *method = function;\n return 1;\n }\n#endif\n *method = attr;\n return 0;\n}\n\n/* PyObjectCallMethod1 */\n static PyObject* __Pyx__PyObject_CallMethod1(PyObject* method, PyObject* arg) {\n PyObject *result = __Pyx_PyObject_CallOneArg(method, arg);\n Py_DECREF(method);\n return result;\n}\nstatic PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg) {\n PyObject *method = NULL, *result;\n int is_method = __Pyx_PyObject_GetMethod(obj, method_name, &method);\n if (likely(is_method)) {\n result = __Pyx_PyObject_Call2Args(method, obj, arg);\n Py_DECREF(method);\n return result;\n }\n if (unlikely(!method)) return NULL;\n return __Pyx__PyObject_CallMethod1(method, arg);\n}\n\n/* CoroutineBase */\n #include \n#include \n#define __Pyx_Coroutine_Undelegate(gen) Py_CLEAR((gen)->yieldfrom)\nstatic int __Pyx_PyGen__FetchStopIterationValue(CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject **pvalue) {\n PyObject *et, *ev, *tb;\n PyObject *value = NULL;\n __Pyx_ErrFetch(&et, &ev, &tb);\n if (!et) {\n Py_XDECREF(tb);\n Py_XDECREF(ev);\n Py_INCREF(Py_None);\n *pvalue = Py_None;\n return 0;\n }\n if (likely(et == PyExc_StopIteration)) {\n if (!ev) {\n Py_INCREF(Py_None);\n value = Py_None;\n }\n#if PY_VERSION_HEX >= 0x030300A0\n else if (Py_TYPE(ev) == (PyTypeObject*)PyExc_StopIteration) {\n value = ((PyStopIterationObject *)ev)->value;\n Py_INCREF(value);\n Py_DECREF(ev);\n }\n#endif\n else if (unlikely(PyTuple_Check(ev))) {\n if (PyTuple_GET_SIZE(ev) >= 1) {\n#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS\n value = PyTuple_GET_ITEM(ev, 0);\n Py_INCREF(value);\n#else\n value = PySequence_ITEM(ev, 0);\n#endif\n } else {\n Py_INCREF(Py_None);\n value = Py_None;\n }\n Py_DECREF(ev);\n }\n else if (!__Pyx_TypeCheck(ev, (PyTypeObject*)PyExc_StopIteration)) {\n value = ev;\n }\n if (likely(value)) {\n Py_XDECREF(tb);\n Py_DECREF(et);\n *pvalue = value;\n return 0;\n }\n } else if (!__Pyx_PyErr_GivenExceptionMatches(et, PyExc_StopIteration)) {\n __Pyx_ErrRestore(et, ev, tb);\n return -1;\n }\n PyErr_NormalizeException(&et, &ev, &tb);\n if (unlikely(!PyObject_TypeCheck(ev, (PyTypeObject*)PyExc_StopIteration))) {\n __Pyx_ErrRestore(et, ev, tb);\n return -1;\n }\n Py_XDECREF(tb);\n Py_DECREF(et);\n#if PY_VERSION_HEX >= 0x030300A0\n value = ((PyStopIterationObject *)ev)->value;\n Py_INCREF(value);\n Py_DECREF(ev);\n#else\n {\n PyObject* args = __Pyx_PyObject_GetAttrStr(ev, __pyx_n_s_args);\n Py_DECREF(ev);\n if (likely(args)) {\n value = PySequence_GetItem(args, 0);\n Py_DECREF(args);\n }\n if (unlikely(!value)) {\n __Pyx_ErrRestore(NULL, NULL, NULL);\n Py_INCREF(Py_None);\n value = Py_None;\n }\n }\n#endif\n *pvalue = value;\n return 0;\n}\nstatic CYTHON_INLINE\nvoid __Pyx_Coroutine_ExceptionClear(__Pyx_ExcInfoStruct *exc_state) {\n PyObject *t, *v, *tb;\n t = exc_state->exc_type;\n v = exc_state->exc_value;\n tb = exc_state->exc_traceback;\n exc_state->exc_type = NULL;\n exc_state->exc_value = NULL;\n exc_state->exc_traceback = NULL;\n Py_XDECREF(t);\n Py_XDECREF(v);\n Py_XDECREF(tb);\n}\n#define __Pyx_Coroutine_AlreadyRunningError(gen) (__Pyx__Coroutine_AlreadyRunningError(gen), (PyObject*)NULL)\nstatic void __Pyx__Coroutine_AlreadyRunningError(CYTHON_UNUSED __pyx_CoroutineObject *gen) {\n const char *msg;\n if ((0)) {\n #ifdef __Pyx_Coroutine_USED\n } else if (__Pyx_Coroutine_Check((PyObject*)gen)) {\n msg = \"coroutine already executing\";\n #endif\n #ifdef __Pyx_AsyncGen_USED\n } else if (__Pyx_AsyncGen_CheckExact((PyObject*)gen)) {\n msg = \"async generator already executing\";\n #endif\n } else {\n msg = \"generator already executing\";\n }\n PyErr_SetString(PyExc_ValueError, msg);\n}\n#define __Pyx_Coroutine_NotStartedError(gen) (__Pyx__Coroutine_NotStartedError(gen), (PyObject*)NULL)\nstatic void __Pyx__Coroutine_NotStartedError(CYTHON_UNUSED PyObject *gen) {\n const char *msg;\n if ((0)) {\n #ifdef __Pyx_Coroutine_USED\n } else if (__Pyx_Coroutine_Check(gen)) {\n msg = \"can't send non-None value to a just-started coroutine\";\n #endif\n #ifdef __Pyx_AsyncGen_USED\n } else if (__Pyx_AsyncGen_CheckExact(gen)) {\n msg = \"can't send non-None value to a just-started async generator\";\n #endif\n } else {\n msg = \"can't send non-None value to a just-started generator\";\n }\n PyErr_SetString(PyExc_TypeError, msg);\n}\n#define __Pyx_Coroutine_AlreadyTerminatedError(gen, value, closing) (__Pyx__Coroutine_AlreadyTerminatedError(gen, value, closing), (PyObject*)NULL)\nstatic void __Pyx__Coroutine_AlreadyTerminatedError(CYTHON_UNUSED PyObject *gen, PyObject *value, CYTHON_UNUSED int closing) {\n #ifdef __Pyx_Coroutine_USED\n if (!closing && __Pyx_Coroutine_Check(gen)) {\n PyErr_SetString(PyExc_RuntimeError, \"cannot reuse already awaited coroutine\");\n } else\n #endif\n if (value) {\n #ifdef __Pyx_AsyncGen_USED\n if (__Pyx_AsyncGen_CheckExact(gen))\n PyErr_SetNone(__Pyx_PyExc_StopAsyncIteration);\n else\n #endif\n PyErr_SetNone(PyExc_StopIteration);\n }\n}\nstatic\nPyObject *__Pyx_Coroutine_SendEx(__pyx_CoroutineObject *self, PyObject *value, int closing) {\n __Pyx_PyThreadState_declare\n PyThreadState *tstate;\n __Pyx_ExcInfoStruct *exc_state;\n PyObject *retval;\n assert(!self->is_running);\n if (unlikely(self->resume_label == 0)) {\n if (unlikely(value && value != Py_None)) {\n return __Pyx_Coroutine_NotStartedError((PyObject*)self);\n }\n }\n if (unlikely(self->resume_label == -1)) {\n return __Pyx_Coroutine_AlreadyTerminatedError((PyObject*)self, value, closing);\n }\n#if CYTHON_FAST_THREAD_STATE\n __Pyx_PyThreadState_assign\n tstate = __pyx_tstate;\n#else\n tstate = __Pyx_PyThreadState_Current;\n#endif\n exc_state = &self->gi_exc_state;\n if (exc_state->exc_type) {\n #if CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_PYSTON\n #else\n if (exc_state->exc_traceback) {\n PyTracebackObject *tb = (PyTracebackObject *) exc_state->exc_traceback;\n PyFrameObject *f = tb->tb_frame;\n Py_XINCREF(tstate->frame);\n assert(f->f_back == NULL);\n f->f_back = tstate->frame;\n }\n #endif\n }\n#if CYTHON_USE_EXC_INFO_STACK\n exc_state->previous_item = tstate->exc_info;\n tstate->exc_info = exc_state;\n#else\n if (exc_state->exc_type) {\n __Pyx_ExceptionSwap(&exc_state->exc_type, &exc_state->exc_value, &exc_state->exc_traceback);\n } else {\n __Pyx_Coroutine_ExceptionClear(exc_state);\n __Pyx_ExceptionSave(&exc_state->exc_type, &exc_state->exc_value, &exc_state->exc_traceback);\n }\n#endif\n self->is_running = 1;\n retval = self->body((PyObject *) self, tstate, value);\n self->is_running = 0;\n#if CYTHON_USE_EXC_INFO_STACK\n exc_state = &self->gi_exc_state;\n tstate->exc_info = exc_state->previous_item;\n exc_state->previous_item = NULL;\n __Pyx_Coroutine_ResetFrameBackpointer(exc_state);\n#endif\n return retval;\n}\nstatic CYTHON_INLINE void __Pyx_Coroutine_ResetFrameBackpointer(__Pyx_ExcInfoStruct *exc_state) {\n PyObject *exc_tb = exc_state->exc_traceback;\n if (likely(exc_tb)) {\n#if CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_PYSTON\n#else\n PyTracebackObject *tb = (PyTracebackObject *) exc_tb;\n PyFrameObject *f = tb->tb_frame;\n Py_CLEAR(f->f_back);\n#endif\n }\n}\nstatic CYTHON_INLINE\nPyObject *__Pyx_Coroutine_MethodReturn(CYTHON_UNUSED PyObject* gen, PyObject *retval) {\n if (unlikely(!retval)) {\n __Pyx_PyThreadState_declare\n __Pyx_PyThreadState_assign\n if (!__Pyx_PyErr_Occurred()) {\n PyObject *exc = PyExc_StopIteration;\n #ifdef __Pyx_AsyncGen_USED\n if (__Pyx_AsyncGen_CheckExact(gen))\n exc = __Pyx_PyExc_StopAsyncIteration;\n #endif\n __Pyx_PyErr_SetNone(exc);\n }\n }\n return retval;\n}\nstatic CYTHON_INLINE\nPyObject *__Pyx_Coroutine_FinishDelegation(__pyx_CoroutineObject *gen) {\n PyObject *ret;\n PyObject *val = NULL;\n __Pyx_Coroutine_Undelegate(gen);\n __Pyx_PyGen__FetchStopIterationValue(__Pyx_PyThreadState_Current, &val);\n ret = __Pyx_Coroutine_SendEx(gen, val, 0);\n Py_XDECREF(val);\n return ret;\n}\nstatic PyObject *__Pyx_Coroutine_Send(PyObject *self, PyObject *value) {\n PyObject *retval;\n __pyx_CoroutineObject *gen = (__pyx_CoroutineObject*) self;\n PyObject *yf = gen->yieldfrom;\n if (unlikely(gen->is_running))\n return __Pyx_Coroutine_AlreadyRunningError(gen);\n if (yf) {\n PyObject *ret;\n gen->is_running = 1;\n #ifdef __Pyx_Generator_USED\n if (__Pyx_Generator_CheckExact(yf)) {\n ret = __Pyx_Coroutine_Send(yf, value);\n } else\n #endif\n #ifdef __Pyx_Coroutine_USED\n if (__Pyx_Coroutine_Check(yf)) {\n ret = __Pyx_Coroutine_Send(yf, value);\n } else\n #endif\n #ifdef __Pyx_AsyncGen_USED\n if (__pyx_PyAsyncGenASend_CheckExact(yf)) {\n ret = __Pyx_async_gen_asend_send(yf, value);\n } else\n #endif\n #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x03030000 && (defined(__linux__) || PY_VERSION_HEX >= 0x030600B3)\n if (PyGen_CheckExact(yf)) {\n ret = _PyGen_Send((PyGenObject*)yf, value == Py_None ? NULL : value);\n } else\n #endif\n #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x03050000 && defined(PyCoro_CheckExact) && (defined(__linux__) || PY_VERSION_HEX >= 0x030600B3)\n if (PyCoro_CheckExact(yf)) {\n ret = _PyGen_Send((PyGenObject*)yf, value == Py_None ? NULL : value);\n } else\n #endif\n {\n if (value == Py_None)\n ret = Py_TYPE(yf)->tp_iternext(yf);\n else\n ret = __Pyx_PyObject_CallMethod1(yf, __pyx_n_s_send, value);\n }\n gen->is_running = 0;\n if (likely(ret)) {\n return ret;\n }\n retval = __Pyx_Coroutine_FinishDelegation(gen);\n } else {\n retval = __Pyx_Coroutine_SendEx(gen, value, 0);\n }\n return __Pyx_Coroutine_MethodReturn(self, retval);\n}\nstatic int __Pyx_Coroutine_CloseIter(__pyx_CoroutineObject *gen, PyObject *yf) {\n PyObject *retval = NULL;\n int err = 0;\n #ifdef __Pyx_Generator_USED\n if (__Pyx_Generator_CheckExact(yf)) {\n retval = __Pyx_Coroutine_Close(yf);\n if (!retval)\n return -1;\n } else\n #endif\n #ifdef __Pyx_Coroutine_USED\n if (__Pyx_Coroutine_Check(yf)) {\n retval = __Pyx_Coroutine_Close(yf);\n if (!retval)\n return -1;\n } else\n if (__Pyx_CoroutineAwait_CheckExact(yf)) {\n retval = __Pyx_CoroutineAwait_Close((__pyx_CoroutineAwaitObject*)yf, NULL);\n if (!retval)\n return -1;\n } else\n #endif\n #ifdef __Pyx_AsyncGen_USED\n if (__pyx_PyAsyncGenASend_CheckExact(yf)) {\n retval = __Pyx_async_gen_asend_close(yf, NULL);\n } else\n if (__pyx_PyAsyncGenAThrow_CheckExact(yf)) {\n retval = __Pyx_async_gen_athrow_close(yf, NULL);\n } else\n #endif\n {\n PyObject *meth;\n gen->is_running = 1;\n meth = __Pyx_PyObject_GetAttrStr(yf, __pyx_n_s_close);\n if (unlikely(!meth)) {\n if (!PyErr_ExceptionMatches(PyExc_AttributeError)) {\n PyErr_WriteUnraisable(yf);\n }\n PyErr_Clear();\n } else {\n retval = PyObject_CallFunction(meth, NULL);\n Py_DECREF(meth);\n if (!retval)\n err = -1;\n }\n gen->is_running = 0;\n }\n Py_XDECREF(retval);\n return err;\n}\nstatic PyObject *__Pyx_Generator_Next(PyObject *self) {\n __pyx_CoroutineObject *gen = (__pyx_CoroutineObject*) self;\n PyObject *yf = gen->yieldfrom;\n if (unlikely(gen->is_running))\n return __Pyx_Coroutine_AlreadyRunningError(gen);\n if (yf) {\n PyObject *ret;\n gen->is_running = 1;\n #ifdef __Pyx_Generator_USED\n if (__Pyx_Generator_CheckExact(yf)) {\n ret = __Pyx_Generator_Next(yf);\n } else\n #endif\n #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x03030000 && (defined(__linux__) || PY_VERSION_HEX >= 0x030600B3)\n if (PyGen_CheckExact(yf)) {\n ret = _PyGen_Send((PyGenObject*)yf, NULL);\n } else\n #endif\n #ifdef __Pyx_Coroutine_USED\n if (__Pyx_Coroutine_Check(yf)) {\n ret = __Pyx_Coroutine_Send(yf, Py_None);\n } else\n #endif\n ret = Py_TYPE(yf)->tp_iternext(yf);\n gen->is_running = 0;\n if (likely(ret)) {\n return ret;\n }\n return __Pyx_Coroutine_FinishDelegation(gen);\n }\n return __Pyx_Coroutine_SendEx(gen, Py_None, 0);\n}\nstatic PyObject *__Pyx_Coroutine_Close_Method(PyObject *self, CYTHON_UNUSED PyObject *arg) {\n return __Pyx_Coroutine_Close(self);\n}\nstatic PyObject *__Pyx_Coroutine_Close(PyObject *self) {\n __pyx_CoroutineObject *gen = (__pyx_CoroutineObject *) self;\n PyObject *retval, *raised_exception;\n PyObject *yf = gen->yieldfrom;\n int err = 0;\n if (unlikely(gen->is_running))\n return __Pyx_Coroutine_AlreadyRunningError(gen);\n if (yf) {\n Py_INCREF(yf);\n err = __Pyx_Coroutine_CloseIter(gen, yf);\n __Pyx_Coroutine_Undelegate(gen);\n Py_DECREF(yf);\n }\n if (err == 0)\n PyErr_SetNone(PyExc_GeneratorExit);\n retval = __Pyx_Coroutine_SendEx(gen, NULL, 1);\n if (unlikely(retval)) {\n const char *msg;\n Py_DECREF(retval);\n if ((0)) {\n #ifdef __Pyx_Coroutine_USED\n } else if (__Pyx_Coroutine_Check(self)) {\n msg = \"coroutine ignored GeneratorExit\";\n #endif\n #ifdef __Pyx_AsyncGen_USED\n } else if (__Pyx_AsyncGen_CheckExact(self)) {\n#if PY_VERSION_HEX < 0x03060000\n msg = \"async generator ignored GeneratorExit - might require Python 3.6+ finalisation (PEP 525)\";\n#else\n msg = \"async generator ignored GeneratorExit\";\n#endif\n #endif\n } else {\n msg = \"generator ignored GeneratorExit\";\n }\n PyErr_SetString(PyExc_RuntimeError, msg);\n return NULL;\n }\n raised_exception = PyErr_Occurred();\n if (likely(!raised_exception || __Pyx_PyErr_GivenExceptionMatches2(raised_exception, PyExc_GeneratorExit, PyExc_StopIteration))) {\n if (raised_exception) PyErr_Clear();\n Py_INCREF(Py_None);\n return Py_None;\n }\n return NULL;\n}\nstatic PyObject *__Pyx__Coroutine_Throw(PyObject *self, PyObject *typ, PyObject *val, PyObject *tb,\n PyObject *args, int close_on_genexit) {\n __pyx_CoroutineObject *gen = (__pyx_CoroutineObject *) self;\n PyObject *yf = gen->yieldfrom;\n if (unlikely(gen->is_running))\n return __Pyx_Coroutine_AlreadyRunningError(gen);\n if (yf) {\n PyObject *ret;\n Py_INCREF(yf);\n if (__Pyx_PyErr_GivenExceptionMatches(typ, PyExc_GeneratorExit) && close_on_genexit) {\n int err = __Pyx_Coroutine_CloseIter(gen, yf);\n Py_DECREF(yf);\n __Pyx_Coroutine_Undelegate(gen);\n if (err < 0)\n return __Pyx_Coroutine_MethodReturn(self, __Pyx_Coroutine_SendEx(gen, NULL, 0));\n goto throw_here;\n }\n gen->is_running = 1;\n if (0\n #ifdef __Pyx_Generator_USED\n || __Pyx_Generator_CheckExact(yf)\n #endif\n #ifdef __Pyx_Coroutine_USED\n || __Pyx_Coroutine_Check(yf)\n #endif\n ) {\n ret = __Pyx__Coroutine_Throw(yf, typ, val, tb, args, close_on_genexit);\n #ifdef __Pyx_Coroutine_USED\n } else if (__Pyx_CoroutineAwait_CheckExact(yf)) {\n ret = __Pyx__Coroutine_Throw(((__pyx_CoroutineAwaitObject*)yf)->coroutine, typ, val, tb, args, close_on_genexit);\n #endif\n } else {\n PyObject *meth = __Pyx_PyObject_GetAttrStr(yf, __pyx_n_s_throw);\n if (unlikely(!meth)) {\n Py_DECREF(yf);\n if (!PyErr_ExceptionMatches(PyExc_AttributeError)) {\n gen->is_running = 0;\n return NULL;\n }\n PyErr_Clear();\n __Pyx_Coroutine_Undelegate(gen);\n gen->is_running = 0;\n goto throw_here;\n }\n if (likely(args)) {\n ret = PyObject_CallObject(meth, args);\n } else {\n ret = PyObject_CallFunctionObjArgs(meth, typ, val, tb, NULL);\n }\n Py_DECREF(meth);\n }\n gen->is_running = 0;\n Py_DECREF(yf);\n if (!ret) {\n ret = __Pyx_Coroutine_FinishDelegation(gen);\n }\n return __Pyx_Coroutine_MethodReturn(self, ret);\n }\nthrow_here:\n __Pyx_Raise(typ, val, tb, NULL);\n return __Pyx_Coroutine_MethodReturn(self, __Pyx_Coroutine_SendEx(gen, NULL, 0));\n}\nstatic PyObject *__Pyx_Coroutine_Throw(PyObject *self, PyObject *args) {\n PyObject *typ;\n PyObject *val = NULL;\n PyObject *tb = NULL;\n if (!PyArg_UnpackTuple(args, (char *)\"throw\", 1, 3, &typ, &val, &tb))\n return NULL;\n return __Pyx__Coroutine_Throw(self, typ, val, tb, args, 1);\n}\nstatic CYTHON_INLINE int __Pyx_Coroutine_traverse_excstate(__Pyx_ExcInfoStruct *exc_state, visitproc visit, void *arg) {\n Py_VISIT(exc_state->exc_type);\n Py_VISIT(exc_state->exc_value);\n Py_VISIT(exc_state->exc_traceback);\n return 0;\n}\nstatic int __Pyx_Coroutine_traverse(__pyx_CoroutineObject *gen, visitproc visit, void *arg) {\n Py_VISIT(gen->closure);\n Py_VISIT(gen->classobj);\n Py_VISIT(gen->yieldfrom);\n return __Pyx_Coroutine_traverse_excstate(&gen->gi_exc_state, visit, arg);\n}\nstatic int __Pyx_Coroutine_clear(PyObject *self) {\n __pyx_CoroutineObject *gen = (__pyx_CoroutineObject *) self;\n Py_CLEAR(gen->closure);\n Py_CLEAR(gen->classobj);\n Py_CLEAR(gen->yieldfrom);\n __Pyx_Coroutine_ExceptionClear(&gen->gi_exc_state);\n#ifdef __Pyx_AsyncGen_USED\n if (__Pyx_AsyncGen_CheckExact(self)) {\n Py_CLEAR(((__pyx_PyAsyncGenObject*)gen)->ag_finalizer);\n }\n#endif\n Py_CLEAR(gen->gi_code);\n Py_CLEAR(gen->gi_name);\n Py_CLEAR(gen->gi_qualname);\n Py_CLEAR(gen->gi_modulename);\n return 0;\n}\nstatic void __Pyx_Coroutine_dealloc(PyObject *self) {\n __pyx_CoroutineObject *gen = (__pyx_CoroutineObject *) self;\n PyObject_GC_UnTrack(gen);\n if (gen->gi_weakreflist != NULL)\n PyObject_ClearWeakRefs(self);\n if (gen->resume_label >= 0) {\n PyObject_GC_Track(self);\n#if PY_VERSION_HEX >= 0x030400a1 && CYTHON_USE_TP_FINALIZE\n if (PyObject_CallFinalizerFromDealloc(self))\n#else\n Py_TYPE(gen)->tp_del(self);\n if (self->ob_refcnt > 0)\n#endif\n {\n return;\n }\n PyObject_GC_UnTrack(self);\n }\n#ifdef __Pyx_AsyncGen_USED\n if (__Pyx_AsyncGen_CheckExact(self)) {\n /* We have to handle this case for asynchronous generators\n right here, because this code has to be between UNTRACK\n and GC_Del. */\n Py_CLEAR(((__pyx_PyAsyncGenObject*)self)->ag_finalizer);\n }\n#endif\n __Pyx_Coroutine_clear(self);\n PyObject_GC_Del(gen);\n}\nstatic void __Pyx_Coroutine_del(PyObject *self) {\n PyObject *error_type, *error_value, *error_traceback;\n __pyx_CoroutineObject *gen = (__pyx_CoroutineObject *) self;\n __Pyx_PyThreadState_declare\n if (gen->resume_label < 0) {\n return;\n }\n#if !CYTHON_USE_TP_FINALIZE\n assert(self->ob_refcnt == 0);\n self->ob_refcnt = 1;\n#endif\n __Pyx_PyThreadState_assign\n __Pyx_ErrFetch(&error_type, &error_value, &error_traceback);\n#ifdef __Pyx_AsyncGen_USED\n if (__Pyx_AsyncGen_CheckExact(self)) {\n __pyx_PyAsyncGenObject *agen = (__pyx_PyAsyncGenObject*)self;\n PyObject *finalizer = agen->ag_finalizer;\n if (finalizer && !agen->ag_closed) {\n PyObject *res = __Pyx_PyObject_CallOneArg(finalizer, self);\n if (unlikely(!res)) {\n PyErr_WriteUnraisable(self);\n } else {\n Py_DECREF(res);\n }\n __Pyx_ErrRestore(error_type, error_value, error_traceback);\n return;\n }\n }\n#endif\n if (unlikely(gen->resume_label == 0 && !error_value)) {\n#ifdef __Pyx_Coroutine_USED\n#ifdef __Pyx_Generator_USED\n if (!__Pyx_Generator_CheckExact(self))\n#endif\n {\n PyObject_GC_UnTrack(self);\n#if PY_MAJOR_VERSION >= 3 || defined(PyErr_WarnFormat)\n if (unlikely(PyErr_WarnFormat(PyExc_RuntimeWarning, 1, \"coroutine '%.50S' was never awaited\", gen->gi_qualname) < 0))\n PyErr_WriteUnraisable(self);\n#else\n {PyObject *msg;\n char *cmsg;\n #if CYTHON_COMPILING_IN_PYPY\n msg = NULL;\n cmsg = (char*) \"coroutine was never awaited\";\n #else\n char *cname;\n PyObject *qualname;\n qualname = gen->gi_qualname;\n cname = PyString_AS_STRING(qualname);\n msg = PyString_FromFormat(\"coroutine '%.50s' was never awaited\", cname);\n if (unlikely(!msg)) {\n PyErr_Clear();\n cmsg = (char*) \"coroutine was never awaited\";\n } else {\n cmsg = PyString_AS_STRING(msg);\n }\n #endif\n if (unlikely(PyErr_WarnEx(PyExc_RuntimeWarning, cmsg, 1) < 0))\n PyErr_WriteUnraisable(self);\n Py_XDECREF(msg);}\n#endif\n PyObject_GC_Track(self);\n }\n#endif\n } else {\n PyObject *res = __Pyx_Coroutine_Close(self);\n if (unlikely(!res)) {\n if (PyErr_Occurred())\n PyErr_WriteUnraisable(self);\n } else {\n Py_DECREF(res);\n }\n }\n __Pyx_ErrRestore(error_type, error_value, error_traceback);\n#if !CYTHON_USE_TP_FINALIZE\n assert(self->ob_refcnt > 0);\n if (--self->ob_refcnt == 0) {\n return;\n }\n {\n Py_ssize_t refcnt = self->ob_refcnt;\n _Py_NewReference(self);\n self->ob_refcnt = refcnt;\n }\n#if CYTHON_COMPILING_IN_CPYTHON\n assert(PyType_IS_GC(self->ob_type) &&\n _Py_AS_GC(self)->gc.gc_refs != _PyGC_REFS_UNTRACKED);\n _Py_DEC_REFTOTAL;\n#endif\n#ifdef COUNT_ALLOCS\n --Py_TYPE(self)->tp_frees;\n --Py_TYPE(self)->tp_allocs;\n#endif\n#endif\n}\nstatic PyObject *\n__Pyx_Coroutine_get_name(__pyx_CoroutineObject *self, CYTHON_UNUSED void *context)\n{\n PyObject *name = self->gi_name;\n if (unlikely(!name)) name = Py_None;\n Py_INCREF(name);\n return name;\n}\nstatic int\n__Pyx_Coroutine_set_name(__pyx_CoroutineObject *self, PyObject *value, CYTHON_UNUSED void *context)\n{\n PyObject *tmp;\n#if PY_MAJOR_VERSION >= 3\n if (unlikely(value == NULL || !PyUnicode_Check(value)))\n#else\n if (unlikely(value == NULL || !PyString_Check(value)))\n#endif\n {\n PyErr_SetString(PyExc_TypeError,\n \"__name__ must be set to a string object\");\n return -1;\n }\n tmp = self->gi_name;\n Py_INCREF(value);\n self->gi_name = value;\n Py_XDECREF(tmp);\n return 0;\n}\nstatic PyObject *\n__Pyx_Coroutine_get_qualname(__pyx_CoroutineObject *self, CYTHON_UNUSED void *context)\n{\n PyObject *name = self->gi_qualname;\n if (unlikely(!name)) name = Py_None;\n Py_INCREF(name);\n return name;\n}\nstatic int\n__Pyx_Coroutine_set_qualname(__pyx_CoroutineObject *self, PyObject *value, CYTHON_UNUSED void *context)\n{\n PyObject *tmp;\n#if PY_MAJOR_VERSION >= 3\n if (unlikely(value == NULL || !PyUnicode_Check(value)))\n#else\n if (unlikely(value == NULL || !PyString_Check(value)))\n#endif\n {\n PyErr_SetString(PyExc_TypeError,\n \"__qualname__ must be set to a string object\");\n return -1;\n }\n tmp = self->gi_qualname;\n Py_INCREF(value);\n self->gi_qualname = value;\n Py_XDECREF(tmp);\n return 0;\n}\nstatic __pyx_CoroutineObject *__Pyx__Coroutine_New(\n PyTypeObject* type, __pyx_coroutine_body_t body, PyObject *code, PyObject *closure,\n PyObject *name, PyObject *qualname, PyObject *module_name) {\n __pyx_CoroutineObject *gen = PyObject_GC_New(__pyx_CoroutineObject, type);\n if (unlikely(!gen))\n return NULL;\n return __Pyx__Coroutine_NewInit(gen, body, code, closure, name, qualname, module_name);\n}\nstatic __pyx_CoroutineObject *__Pyx__Coroutine_NewInit(\n __pyx_CoroutineObject *gen, __pyx_coroutine_body_t body, PyObject *code, PyObject *closure,\n PyObject *name, PyObject *qualname, PyObject *module_name) {\n gen->body = body;\n gen->closure = closure;\n Py_XINCREF(closure);\n gen->is_running = 0;\n gen->resume_label = 0;\n gen->classobj = NULL;\n gen->yieldfrom = NULL;\n gen->gi_exc_state.exc_type = NULL;\n gen->gi_exc_state.exc_value = NULL;\n gen->gi_exc_state.exc_traceback = NULL;\n#if CYTHON_USE_EXC_INFO_STACK\n gen->gi_exc_state.previous_item = NULL;\n#endif\n gen->gi_weakreflist = NULL;\n Py_XINCREF(qualname);\n gen->gi_qualname = qualname;\n Py_XINCREF(name);\n gen->gi_name = name;\n Py_XINCREF(module_name);\n gen->gi_modulename = module_name;\n Py_XINCREF(code);\n gen->gi_code = code;\n PyObject_GC_Track(gen);\n return gen;\n}\n\n/* PatchModuleWithCoroutine */\n static PyObject* __Pyx_Coroutine_patch_module(PyObject* module, const char* py_code) {\n#if defined(__Pyx_Generator_USED) || defined(__Pyx_Coroutine_USED)\n int result;\n PyObject *globals, *result_obj;\n globals = PyDict_New(); if (unlikely(!globals)) goto ignore;\n result = PyDict_SetItemString(globals, \"_cython_coroutine_type\",\n #ifdef __Pyx_Coroutine_USED\n (PyObject*)__pyx_CoroutineType);\n #else\n Py_None);\n #endif\n if (unlikely(result < 0)) goto ignore;\n result = PyDict_SetItemString(globals, \"_cython_generator_type\",\n #ifdef __Pyx_Generator_USED\n (PyObject*)__pyx_GeneratorType);\n #else\n Py_None);\n #endif\n if (unlikely(result < 0)) goto ignore;\n if (unlikely(PyDict_SetItemString(globals, \"_module\", module) < 0)) goto ignore;\n if (unlikely(PyDict_SetItemString(globals, \"__builtins__\", __pyx_b) < 0)) goto ignore;\n result_obj = PyRun_String(py_code, Py_file_input, globals, globals);\n if (unlikely(!result_obj)) goto ignore;\n Py_DECREF(result_obj);\n Py_DECREF(globals);\n return module;\nignore:\n Py_XDECREF(globals);\n PyErr_WriteUnraisable(module);\n if (unlikely(PyErr_WarnEx(PyExc_RuntimeWarning, \"Cython module failed to patch module with custom type\", 1) < 0)) {\n Py_DECREF(module);\n module = NULL;\n }\n#else\n py_code++;\n#endif\n return module;\n}\n\n/* PatchGeneratorABC */\n #ifndef CYTHON_REGISTER_ABCS\n#define CYTHON_REGISTER_ABCS 1\n#endif\n#if defined(__Pyx_Generator_USED) || defined(__Pyx_Coroutine_USED)\nstatic PyObject* __Pyx_patch_abc_module(PyObject *module);\nstatic PyObject* __Pyx_patch_abc_module(PyObject *module) {\n module = __Pyx_Coroutine_patch_module(\n module, \"\"\n\"if _cython_generator_type is not None:\\n\"\n\" try: Generator = _module.Generator\\n\"\n\" except AttributeError: pass\\n\"\n\" else: Generator.register(_cython_generator_type)\\n\"\n\"if _cython_coroutine_type is not None:\\n\"\n\" try: Coroutine = _module.Coroutine\\n\"\n\" except AttributeError: pass\\n\"\n\" else: Coroutine.register(_cython_coroutine_type)\\n\"\n );\n return module;\n}\n#endif\nstatic int __Pyx_patch_abc(void) {\n#if defined(__Pyx_Generator_USED) || defined(__Pyx_Coroutine_USED)\n static int abc_patched = 0;\n if (CYTHON_REGISTER_ABCS && !abc_patched) {\n PyObject *module;\n module = PyImport_ImportModule((PY_MAJOR_VERSION >= 3) ? \"collections.abc\" : \"collections\");\n if (!module) {\n PyErr_WriteUnraisable(NULL);\n if (unlikely(PyErr_WarnEx(PyExc_RuntimeWarning,\n ((PY_MAJOR_VERSION >= 3) ?\n \"Cython module failed to register with collections.abc module\" :\n \"Cython module failed to register with collections module\"), 1) < 0)) {\n return -1;\n }\n } else {\n module = __Pyx_patch_abc_module(module);\n abc_patched = 1;\n if (unlikely(!module))\n return -1;\n Py_DECREF(module);\n }\n module = PyImport_ImportModule(\"backports_abc\");\n if (module) {\n module = __Pyx_patch_abc_module(module);\n Py_XDECREF(module);\n }\n if (!module) {\n PyErr_Clear();\n }\n }\n#else\n if ((0)) __Pyx_Coroutine_patch_module(NULL, NULL);\n#endif\n return 0;\n}\n\n/* Generator */\n static PyMethodDef __pyx_Generator_methods[] = {\n {\"send\", (PyCFunction) __Pyx_Coroutine_Send, METH_O,\n (char*) PyDoc_STR(\"send(arg) -> send 'arg' into generator,\\nreturn next yielded value or raise StopIteration.\")},\n {\"throw\", (PyCFunction) __Pyx_Coroutine_Throw, METH_VARARGS,\n (char*) PyDoc_STR(\"throw(typ[,val[,tb]]) -> raise exception in generator,\\nreturn next yielded value or raise StopIteration.\")},\n {\"close\", (PyCFunction) __Pyx_Coroutine_Close_Method, METH_NOARGS,\n (char*) PyDoc_STR(\"close() -> raise GeneratorExit inside generator.\")},\n {0, 0, 0, 0}\n};\nstatic PyMemberDef __pyx_Generator_memberlist[] = {\n {(char *) \"gi_running\", T_BOOL, offsetof(__pyx_CoroutineObject, is_running), READONLY, NULL},\n {(char*) \"gi_yieldfrom\", T_OBJECT, offsetof(__pyx_CoroutineObject, yieldfrom), READONLY,\n (char*) PyDoc_STR(\"object being iterated by 'yield from', or None\")},\n {(char*) \"gi_code\", T_OBJECT, offsetof(__pyx_CoroutineObject, gi_code), READONLY, NULL},\n {0, 0, 0, 0, 0}\n};\nstatic PyGetSetDef __pyx_Generator_getsets[] = {\n {(char *) \"__name__\", (getter)__Pyx_Coroutine_get_name, (setter)__Pyx_Coroutine_set_name,\n (char*) PyDoc_STR(\"name of the generator\"), 0},\n {(char *) \"__qualname__\", (getter)__Pyx_Coroutine_get_qualname, (setter)__Pyx_Coroutine_set_qualname,\n (char*) PyDoc_STR(\"qualified name of the generator\"), 0},\n {0, 0, 0, 0, 0}\n};\nstatic PyTypeObject __pyx_GeneratorType_type = {\n PyVarObject_HEAD_INIT(0, 0)\n \"generator\",\n sizeof(__pyx_CoroutineObject),\n 0,\n (destructor) __Pyx_Coroutine_dealloc,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC | Py_TPFLAGS_HAVE_FINALIZE,\n 0,\n (traverseproc) __Pyx_Coroutine_traverse,\n 0,\n 0,\n offsetof(__pyx_CoroutineObject, gi_weakreflist),\n 0,\n (iternextfunc) __Pyx_Generator_Next,\n __pyx_Generator_methods,\n __pyx_Generator_memberlist,\n __pyx_Generator_getsets,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n 0,\n#if CYTHON_USE_TP_FINALIZE\n 0,\n#else\n __Pyx_Coroutine_del,\n#endif\n 0,\n#if CYTHON_USE_TP_FINALIZE\n __Pyx_Coroutine_del,\n#elif PY_VERSION_HEX >= 0x030400a1\n 0,\n#endif\n};\nstatic int __pyx_Generator_init(void) {\n __pyx_GeneratorType_type.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;\n __pyx_GeneratorType_type.tp_iter = PyObject_SelfIter;\n __pyx_GeneratorType = __Pyx_FetchCommonType(&__pyx_GeneratorType_type);\n if (unlikely(!__pyx_GeneratorType)) {\n return -1;\n }\n return 0;\n}\n\n/* TypeInfoCompare */\n static int\n__pyx_typeinfo_cmp(__Pyx_TypeInfo *a, __Pyx_TypeInfo *b)\n{\n int i;\n if (!a || !b)\n return 0;\n if (a == b)\n return 1;\n if (a->size != b->size || a->typegroup != b->typegroup ||\n a->is_unsigned != b->is_unsigned || a->ndim != b->ndim) {\n if (a->typegroup == 'H' || b->typegroup == 'H') {\n return a->size == b->size;\n } else {\n return 0;\n }\n }\n if (a->ndim) {\n for (i = 0; i < a->ndim; i++)\n if (a->arraysize[i] != b->arraysize[i])\n return 0;\n }\n if (a->typegroup == 'S') {\n if (a->flags != b->flags)\n return 0;\n if (a->fields || b->fields) {\n if (!(a->fields && b->fields))\n return 0;\n for (i = 0; a->fields[i].type && b->fields[i].type; i++) {\n __Pyx_StructField *field_a = a->fields + i;\n __Pyx_StructField *field_b = b->fields + i;\n if (field_a->offset != field_b->offset ||\n !__pyx_typeinfo_cmp(field_a->type, field_b->type))\n return 0;\n }\n return !a->fields[i].type && !b->fields[i].type;\n }\n }\n return 1;\n}\n\n/* MemviewSliceValidateAndInit */\n static int\n__pyx_check_strides(Py_buffer *buf, int dim, int ndim, int spec)\n{\n if (buf->shape[dim] <= 1)\n return 1;\n if (buf->strides) {\n if (spec & __Pyx_MEMVIEW_CONTIG) {\n if (spec & (__Pyx_MEMVIEW_PTR|__Pyx_MEMVIEW_FULL)) {\n if (buf->strides[dim] != sizeof(void *)) {\n PyErr_Format(PyExc_ValueError,\n \"Buffer is not indirectly contiguous \"\n \"in dimension %d.\", dim);\n goto fail;\n }\n } else if (buf->strides[dim] != buf->itemsize) {\n PyErr_SetString(PyExc_ValueError,\n \"Buffer and memoryview are not contiguous \"\n \"in the same dimension.\");\n goto fail;\n }\n }\n if (spec & __Pyx_MEMVIEW_FOLLOW) {\n Py_ssize_t stride = buf->strides[dim];\n if (stride < 0)\n stride = -stride;\n if (stride < buf->itemsize) {\n PyErr_SetString(PyExc_ValueError,\n \"Buffer and memoryview are not contiguous \"\n \"in the same dimension.\");\n goto fail;\n }\n }\n } else {\n if (spec & __Pyx_MEMVIEW_CONTIG && dim != ndim - 1) {\n PyErr_Format(PyExc_ValueError,\n \"C-contiguous buffer is not contiguous in \"\n \"dimension %d\", dim);\n goto fail;\n } else if (spec & (__Pyx_MEMVIEW_PTR)) {\n PyErr_Format(PyExc_ValueError,\n \"C-contiguous buffer is not indirect in \"\n \"dimension %d\", dim);\n goto fail;\n } else if (buf->suboffsets) {\n PyErr_SetString(PyExc_ValueError,\n \"Buffer exposes suboffsets but no strides\");\n goto fail;\n }\n }\n return 1;\nfail:\n return 0;\n}\nstatic int\n__pyx_check_suboffsets(Py_buffer *buf, int dim, CYTHON_UNUSED int ndim, int spec)\n{\n if (spec & __Pyx_MEMVIEW_DIRECT) {\n if (buf->suboffsets && buf->suboffsets[dim] >= 0) {\n PyErr_Format(PyExc_ValueError,\n \"Buffer not compatible with direct access \"\n \"in dimension %d.\", dim);\n goto fail;\n }\n }\n if (spec & __Pyx_MEMVIEW_PTR) {\n if (!buf->suboffsets || (buf->suboffsets[dim] < 0)) {\n PyErr_Format(PyExc_ValueError,\n \"Buffer is not indirectly accessible \"\n \"in dimension %d.\", dim);\n goto fail;\n }\n }\n return 1;\nfail:\n return 0;\n}\nstatic int\n__pyx_verify_contig(Py_buffer *buf, int ndim, int c_or_f_flag)\n{\n int i;\n if (c_or_f_flag & __Pyx_IS_F_CONTIG) {\n Py_ssize_t stride = 1;\n for (i = 0; i < ndim; i++) {\n if (stride * buf->itemsize != buf->strides[i] &&\n buf->shape[i] > 1)\n {\n PyErr_SetString(PyExc_ValueError,\n \"Buffer not fortran contiguous.\");\n goto fail;\n }\n stride = stride * buf->shape[i];\n }\n } else if (c_or_f_flag & __Pyx_IS_C_CONTIG) {\n Py_ssize_t stride = 1;\n for (i = ndim - 1; i >- 1; i--) {\n if (stride * buf->itemsize != buf->strides[i] &&\n buf->shape[i] > 1) {\n PyErr_SetString(PyExc_ValueError,\n \"Buffer not C contiguous.\");\n goto fail;\n }\n stride = stride * buf->shape[i];\n }\n }\n return 1;\nfail:\n return 0;\n}\nstatic int __Pyx_ValidateAndInit_memviewslice(\n int *axes_specs,\n int c_or_f_flag,\n int buf_flags,\n int ndim,\n __Pyx_TypeInfo *dtype,\n __Pyx_BufFmt_StackElem stack[],\n __Pyx_memviewslice *memviewslice,\n PyObject *original_obj)\n{\n struct __pyx_memoryview_obj *memview, *new_memview;\n __Pyx_RefNannyDeclarations\n Py_buffer *buf;\n int i, spec = 0, retval = -1;\n __Pyx_BufFmt_Context ctx;\n int from_memoryview = __pyx_memoryview_check(original_obj);\n __Pyx_RefNannySetupContext(\"ValidateAndInit_memviewslice\", 0);\n if (from_memoryview && __pyx_typeinfo_cmp(dtype, ((struct __pyx_memoryview_obj *)\n original_obj)->typeinfo)) {\n memview = (struct __pyx_memoryview_obj *) original_obj;\n new_memview = NULL;\n } else {\n memview = (struct __pyx_memoryview_obj *) __pyx_memoryview_new(\n original_obj, buf_flags, 0, dtype);\n new_memview = memview;\n if (unlikely(!memview))\n goto fail;\n }\n buf = &memview->view;\n if (buf->ndim != ndim) {\n PyErr_Format(PyExc_ValueError,\n \"Buffer has wrong number of dimensions (expected %d, got %d)\",\n ndim, buf->ndim);\n goto fail;\n }\n if (new_memview) {\n __Pyx_BufFmt_Init(&ctx, stack, dtype);\n if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail;\n }\n if ((unsigned) buf->itemsize != dtype->size) {\n PyErr_Format(PyExc_ValueError,\n \"Item size of buffer (%\" CYTHON_FORMAT_SSIZE_T \"u byte%s) \"\n \"does not match size of '%s' (%\" CYTHON_FORMAT_SSIZE_T \"u byte%s)\",\n buf->itemsize,\n (buf->itemsize > 1) ? \"s\" : \"\",\n dtype->name,\n dtype->size,\n (dtype->size > 1) ? \"s\" : \"\");\n goto fail;\n }\n for (i = 0; i < ndim; i++) {\n spec = axes_specs[i];\n if (!__pyx_check_strides(buf, i, ndim, spec))\n goto fail;\n if (!__pyx_check_suboffsets(buf, i, ndim, spec))\n goto fail;\n }\n if (buf->strides && !__pyx_verify_contig(buf, ndim, c_or_f_flag))\n goto fail;\n if (unlikely(__Pyx_init_memviewslice(memview, ndim, memviewslice,\n new_memview != NULL) == -1)) {\n goto fail;\n }\n retval = 0;\n goto no_fail;\nfail:\n Py_XDECREF(new_memview);\n retval = -1;\nno_fail:\n __Pyx_RefNannyFinishContext();\n return retval;\n}\n\n/* ObjectToMemviewSlice */\n static CYTHON_INLINE __Pyx_memviewslice __Pyx_PyObject_to_MemoryviewSlice_ds_double(PyObject *obj, int writable_flag) {\n __Pyx_memviewslice result = { 0, 0, { 0 }, { 0 }, { 0 } };\n __Pyx_BufFmt_StackElem stack[1];\n int axes_specs[] = { (__Pyx_MEMVIEW_DIRECT | __Pyx_MEMVIEW_STRIDED) };\n int retcode;\n if (obj == Py_None) {\n result.memview = (struct __pyx_memoryview_obj *) Py_None;\n return result;\n }\n retcode = __Pyx_ValidateAndInit_memviewslice(axes_specs, 0,\n PyBUF_RECORDS_RO | writable_flag, 1,\n &__Pyx_TypeInfo_double, stack,\n &result, obj);\n if (unlikely(retcode == -1))\n goto __pyx_fail;\n return result;\n__pyx_fail:\n result.memview = NULL;\n result.data = NULL;\n return result;\n}\n\n/* CheckBinaryVersion */\n static int __Pyx_check_binary_version(void) {\n char ctversion[4], rtversion[4];\n PyOS_snprintf(ctversion, 4, \"%d.%d\", PY_MAJOR_VERSION, PY_MINOR_VERSION);\n PyOS_snprintf(rtversion, 4, \"%s\", Py_GetVersion());\n if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {\n char message[200];\n PyOS_snprintf(message, sizeof(message),\n \"compiletime version %s of module '%.100s' \"\n \"does not match runtime version %s\",\n ctversion, __Pyx_MODULE_NAME, rtversion);\n return PyErr_WarnEx(NULL, message, 1);\n }\n return 0;\n}\n\n/* InitStrings */\n static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {\n while (t->p) {\n #if PY_MAJOR_VERSION < 3\n if (t->is_unicode) {\n *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);\n } else if (t->intern) {\n *t->p = PyString_InternFromString(t->s);\n } else {\n *t->p = PyString_FromStringAndSize(t->s, t->n - 1);\n }\n #else\n if (t->is_unicode | t->is_str) {\n if (t->intern) {\n *t->p = PyUnicode_InternFromString(t->s);\n } else if (t->encoding) {\n *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);\n } else {\n *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);\n }\n } else {\n *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);\n }\n #endif\n if (!*t->p)\n return -1;\n if (PyObject_Hash(*t->p) == -1)\n return -1;\n ++t;\n }\n return 0;\n}\n\nstatic CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {\n return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str));\n}\nstatic CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) {\n Py_ssize_t ignore;\n return __Pyx_PyObject_AsStringAndSize(o, &ignore);\n}\n#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT\n#if !CYTHON_PEP393_ENABLED\nstatic const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {\n char* defenc_c;\n PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL);\n if (!defenc) return NULL;\n defenc_c = PyBytes_AS_STRING(defenc);\n#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII\n {\n char* end = defenc_c + PyBytes_GET_SIZE(defenc);\n char* c;\n for (c = defenc_c; c < end; c++) {\n if ((unsigned char) (*c) >= 128) {\n PyUnicode_AsASCIIString(o);\n return NULL;\n }\n }\n }\n#endif\n *length = PyBytes_GET_SIZE(defenc);\n return defenc_c;\n}\n#else\nstatic CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {\n if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL;\n#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII\n if (likely(PyUnicode_IS_ASCII(o))) {\n *length = PyUnicode_GET_LENGTH(o);\n return PyUnicode_AsUTF8(o);\n } else {\n PyUnicode_AsASCIIString(o);\n return NULL;\n }\n#else\n return PyUnicode_AsUTF8AndSize(o, length);\n#endif\n}\n#endif\n#endif\nstatic CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {\n#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT\n if (\n#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII\n __Pyx_sys_getdefaultencoding_not_ascii &&\n#endif\n PyUnicode_Check(o)) {\n return __Pyx_PyUnicode_AsStringAndSize(o, length);\n } else\n#endif\n#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))\n if (PyByteArray_Check(o)) {\n *length = PyByteArray_GET_SIZE(o);\n return PyByteArray_AS_STRING(o);\n } else\n#endif\n {\n char* result;\n int r = PyBytes_AsStringAndSize(o, &result, length);\n if (unlikely(r < 0)) {\n return NULL;\n } else {\n return result;\n }\n }\n}\nstatic CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {\n int is_true = x == Py_True;\n if (is_true | (x == Py_False) | (x == Py_None)) return is_true;\n else return PyObject_IsTrue(x);\n}\nstatic CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) {\n int retval;\n if (unlikely(!x)) return -1;\n retval = __Pyx_PyObject_IsTrue(x);\n Py_DECREF(x);\n return retval;\n}\nstatic PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* 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&& m->nb_int) {\n name = \"int\";\n res = m->nb_int(x);\n }\n else if (m && m->nb_long) {\n name = \"long\";\n res = m->nb_long(x);\n }\n #else\n if (likely(m && m->nb_int)) {\n name = \"int\";\n res = m->nb_int(x);\n }\n #endif\n#else\n if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) {\n res = PyNumber_Int(x);\n }\n#endif\n if (likely(res)) {\n#if PY_MAJOR_VERSION < 3\n if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) {\n#else\n if (unlikely(!PyLong_CheckExact(res))) {\n#endif\n return __Pyx_PyNumber_IntOrLongWrongResultType(res, name);\n }\n }\n else if (!PyErr_Occurred()) {\n PyErr_SetString(PyExc_TypeError,\n \"an integer is required\");\n }\n return res;\n}\nstatic CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {\n Py_ssize_t ival;\n PyObject *x;\n#if PY_MAJOR_VERSION < 3\n if (likely(PyInt_CheckExact(b))) {\n if (sizeof(Py_ssize_t) >= sizeof(long))\n return PyInt_AS_LONG(b);\n else\n return PyInt_AsSsize_t(b);\n }\n#endif\n if 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+55:     assert x_col == y_row
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 58:     cdef int i, j, times
\n
 59:     cdef double value
\n
 60:
\n
 61:     # we would like to visit MemoryView objects rather than
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 62:     # create a new array object. Thus, we declear that
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 63:     # following variables are MemoryView.
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 64:     cdef double[:] x_src, y_src, row, col
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+65:     x_src, y_src = X.src, Y.src
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 66:
\n
 67:     # calculate values
\n
+68:     with nogil:
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  {\n      #ifdef WITH_THREAD\n      PyThreadState *_save;\n      Py_UNBLOCK_THREADS\n      __Pyx_FastGIL_Remember();\n      #endif\n      /*try:*/ {\n/* … */\n      /*finally:*/ {\n        /*normal exit:*/{\n          #ifdef WITH_THREAD\n          __Pyx_FastGIL_Forget();\n          Py_BLOCK_THREADS\n          #endif\n          goto __pyx_L9;\n        }\n        __pyx_L8_error: {\n          #ifdef WITH_THREAD\n          __Pyx_FastGIL_Forget();\n          Py_BLOCK_THREADS\n          #endif\n          goto __pyx_L1_error;\n        }\n        __pyx_L9:;\n      }\n  }\n
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+70:             row = x_src[i * x_col:(1 + i) * x_col]
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+71:             for j in range(y_col):
\n
          __pyx_t_12 = __pyx_v_y_col;\n          __pyx_t_13 = __pyx_t_12;\n          for (__pyx_t_14 = 0; __pyx_t_14 < __pyx_t_13; __pyx_t_14+=1) {\n            __pyx_v_j = __pyx_t_14;\n
+72:                 col = y_src[j::y_col]
\n
            __pyx_t_10.data = __pyx_v_y_src.data;\n            __pyx_t_10.memview = __pyx_v_y_src.memview;\n            __PYX_INC_MEMVIEW(&__pyx_t_10, 0);\n            __pyx_t_15 = -1;\n            if (unlikely(__pyx_memoryview_slice_memviewslice(\n    &__pyx_t_10,\n    __pyx_v_y_src.shape[0], __pyx_v_y_src.strides[0], __pyx_v_y_src.suboffsets[0],\n    0,\n    0,\n    &__pyx_t_15,\n    __pyx_v_j,\n    0,\n    __pyx_v_y_col,\n    1,\n    0,\n    1,\n    1) < 0))\n{\n    __PYX_ERR(0, 72, __pyx_L8_error)\n}\n\n__PYX_XDEC_MEMVIEW(&__pyx_v_col, 0);\n            __pyx_v_col = __pyx_t_10;\n            __pyx_t_10.memview = NULL;\n            __pyx_t_10.data = NULL;\n
+73:                 value = 0.0
\n
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+74:                 for index in range(x_col):
\n
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+75:                     value += row[index] * col[index]
\n
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\n
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+77:     return Matrix(result).reshape((x_row, y_col))
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\n" }, { "path": "clib/math.pyx", "content": "import cython\nfrom cpython.array cimport array\nfrom itertools import chain, repeat\nfrom libc.stdlib cimport malloc\n\ncdef class Matrix:\n\n cdef readonly:\n int _rows\n int _cols\n array _src\n\n def __cinit__(self, data, dtype='d'):\n self._rows = len(data)\n if isinstance(data, array):\n self._src = data\n self._cols = 1\n elif isinstance(data[0], float) is False:\n self._cols = len(data[0])\n self._src = array(dtype, chain.from_iterable(data))\n else:\n self._cols = 1\n self._src = array(dtype, data)\n \n @property\n def shape(self):\n return (self._rows, self._cols)\n \n @property\n def src(self):\n return self._src\n \n def __getitem__(self, key):\n return self._src[key]\n \n def __len__(self):\n return len(self._src)\n \n def reshape(self, shape):\n assert len(shape) == 2\n assert shape[0] * shape[1] == len(self._src)\n self._rows, self._cols = shape\n return self\n \n def tolist(self):\n arr, row, col = self._src, self._rows, self._cols\n return list(arr[i*col:(i+1)*col].tolist() for i in range(row))\n\n@cython.boundscheck(False)\n@cython.wraparound(False)\ncpdef dot(Matrix X, Matrix Y):\n cdef int x_row, x_col, y_row, y_col\n x_row, x_col = X.shape\n y_row, y_col = Y.shape\n assert x_col == y_row\n\n cdef array[double] result = array('d', repeat(0.0, x_row * y_col))\n cdef int i, j, times\n cdef double value\n\n # we would like to visit MemoryView objects rather than \n # create a new array object. Thus, we declear that \n # following variables are MemoryView.\n cdef double[:] x_src, y_src, row, col\n x_src, y_src = X.src, Y.src\n\n # calculate values\n with nogil:\n for i in range(x_row):\n row = x_src[i * x_col:(1 + i) * x_col]\n for j in range(y_col):\n col = y_src[j::y_col]\n value = 0.0\n for index in range(x_col):\n value += row[index] * col[index]\n result[i * x_row + j] = value\n return Matrix(result).reshape((x_row, y_col))" }, { "path": "clib/setup.py", "content": "from distutils.core import setup, Extension\nfrom Cython.Build import cythonize\n\nsetup(ext_modules=cythonize('string_transfer.pyx', language_level=3))\n" }, { "path": "clib/string_transfer.c", "content": "/* Generated by Cython 0.29.6 */\n\n#define PY_SSIZE_T_CLEAN\n#include \"Python.h\"\n#ifndef Py_PYTHON_H\n #error Python headers needed to compile C extensions, please install development version of Python.\n#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000)\n #error Cython requires Python 2.6+ or Python 3.3+.\n#else\n#define CYTHON_ABI \"0_29_6\"\n#define CYTHON_HEX_VERSION 0x001D06F0\n#define CYTHON_FUTURE_DIVISION 0\n#include \n#ifndef offsetof\n #define offsetof(type, member) ( (size_t) & ((type*)0) -> member )\n#endif\n#if !defined(WIN32) && !defined(MS_WINDOWS)\n #ifndef __stdcall\n #define __stdcall\n #endif\n #ifndef __cdecl\n #define __cdecl\n #endif\n #ifndef __fastcall\n #define __fastcall\n #endif\n#endif\n#ifndef DL_IMPORT\n #define DL_IMPORT(t) t\n#endif\n#ifndef DL_EXPORT\n #define DL_EXPORT(t) t\n#endif\n#define __PYX_COMMA ,\n#ifndef HAVE_LONG_LONG\n #if PY_VERSION_HEX >= 0x02070000\n #define HAVE_LONG_LONG\n #endif\n#endif\n#ifndef PY_LONG_LONG\n #define PY_LONG_LONG LONG_LONG\n#endif\n#ifndef Py_HUGE_VAL\n #define Py_HUGE_VAL HUGE_VAL\n#endif\n#ifdef PYPY_VERSION\n #define CYTHON_COMPILING_IN_PYPY 1\n #define CYTHON_COMPILING_IN_PYSTON 0\n #define CYTHON_COMPILING_IN_CPYTHON 0\n #undef CYTHON_USE_TYPE_SLOTS\n #define CYTHON_USE_TYPE_SLOTS 0\n #undef CYTHON_USE_PYTYPE_LOOKUP\n #define CYTHON_USE_PYTYPE_LOOKUP 0\n #if PY_VERSION_HEX < 0x03050000\n #undef CYTHON_USE_ASYNC_SLOTS\n #define CYTHON_USE_ASYNC_SLOTS 0\n #elif !defined(CYTHON_USE_ASYNC_SLOTS)\n #define CYTHON_USE_ASYNC_SLOTS 1\n #endif\n #undef CYTHON_USE_PYLIST_INTERNALS\n #define CYTHON_USE_PYLIST_INTERNALS 0\n #undef CYTHON_USE_UNICODE_INTERNALS\n #define CYTHON_USE_UNICODE_INTERNALS 0\n #undef CYTHON_USE_UNICODE_WRITER\n #define CYTHON_USE_UNICODE_WRITER 0\n #undef CYTHON_USE_PYLONG_INTERNALS\n #define CYTHON_USE_PYLONG_INTERNALS 0\n #undef CYTHON_AVOID_BORROWED_REFS\n #define CYTHON_AVOID_BORROWED_REFS 1\n #undef CYTHON_ASSUME_SAFE_MACROS\n #define CYTHON_ASSUME_SAFE_MACROS 0\n #undef CYTHON_UNPACK_METHODS\n #define CYTHON_UNPACK_METHODS 0\n #undef CYTHON_FAST_THREAD_STATE\n #define CYTHON_FAST_THREAD_STATE 0\n #undef CYTHON_FAST_PYCALL\n #define CYTHON_FAST_PYCALL 0\n #undef CYTHON_PEP489_MULTI_PHASE_INIT\n #define CYTHON_PEP489_MULTI_PHASE_INIT 0\n #undef CYTHON_USE_TP_FINALIZE\n #define CYTHON_USE_TP_FINALIZE 0\n #undef CYTHON_USE_DICT_VERSIONS\n #define CYTHON_USE_DICT_VERSIONS 0\n #undef CYTHON_USE_EXC_INFO_STACK\n #define CYTHON_USE_EXC_INFO_STACK 0\n#elif defined(PYSTON_VERSION)\n #define CYTHON_COMPILING_IN_PYPY 0\n #define CYTHON_COMPILING_IN_PYSTON 1\n #define CYTHON_COMPILING_IN_CPYTHON 0\n #ifndef CYTHON_USE_TYPE_SLOTS\n #define CYTHON_USE_TYPE_SLOTS 1\n #endif\n #undef CYTHON_USE_PYTYPE_LOOKUP\n #define CYTHON_USE_PYTYPE_LOOKUP 0\n #undef CYTHON_USE_ASYNC_SLOTS\n #define CYTHON_USE_ASYNC_SLOTS 0\n #undef CYTHON_USE_PYLIST_INTERNALS\n #define CYTHON_USE_PYLIST_INTERNALS 0\n #ifndef CYTHON_USE_UNICODE_INTERNALS\n #define CYTHON_USE_UNICODE_INTERNALS 1\n #endif\n #undef CYTHON_USE_UNICODE_WRITER\n #define CYTHON_USE_UNICODE_WRITER 0\n #undef CYTHON_USE_PYLONG_INTERNALS\n #define CYTHON_USE_PYLONG_INTERNALS 0\n #ifndef CYTHON_AVOID_BORROWED_REFS\n #define CYTHON_AVOID_BORROWED_REFS 0\n #endif\n #ifndef CYTHON_ASSUME_SAFE_MACROS\n #define CYTHON_ASSUME_SAFE_MACROS 1\n #endif\n #ifndef CYTHON_UNPACK_METHODS\n #define CYTHON_UNPACK_METHODS 1\n #endif\n #undef CYTHON_FAST_THREAD_STATE\n #define CYTHON_FAST_THREAD_STATE 0\n #undef CYTHON_FAST_PYCALL\n #define CYTHON_FAST_PYCALL 0\n #undef CYTHON_PEP489_MULTI_PHASE_INIT\n #define CYTHON_PEP489_MULTI_PHASE_INIT 0\n #undef CYTHON_USE_TP_FINALIZE\n #define CYTHON_USE_TP_FINALIZE 0\n #undef CYTHON_USE_DICT_VERSIONS\n #define CYTHON_USE_DICT_VERSIONS 0\n #undef CYTHON_USE_EXC_INFO_STACK\n #define CYTHON_USE_EXC_INFO_STACK 0\n#else\n #define CYTHON_COMPILING_IN_PYPY 0\n #define CYTHON_COMPILING_IN_PYSTON 0\n #define CYTHON_COMPILING_IN_CPYTHON 1\n #ifndef CYTHON_USE_TYPE_SLOTS\n #define CYTHON_USE_TYPE_SLOTS 1\n #endif\n #if PY_VERSION_HEX < 0x02070000\n #undef CYTHON_USE_PYTYPE_LOOKUP\n #define CYTHON_USE_PYTYPE_LOOKUP 0\n #elif !defined(CYTHON_USE_PYTYPE_LOOKUP)\n #define CYTHON_USE_PYTYPE_LOOKUP 1\n #endif\n #if PY_MAJOR_VERSION < 3\n #undef CYTHON_USE_ASYNC_SLOTS\n #define CYTHON_USE_ASYNC_SLOTS 0\n #elif !defined(CYTHON_USE_ASYNC_SLOTS)\n #define CYTHON_USE_ASYNC_SLOTS 1\n #endif\n #if PY_VERSION_HEX < 0x02070000\n #undef CYTHON_USE_PYLONG_INTERNALS\n #define CYTHON_USE_PYLONG_INTERNALS 0\n #elif !defined(CYTHON_USE_PYLONG_INTERNALS)\n #define CYTHON_USE_PYLONG_INTERNALS 1\n #endif\n #ifndef CYTHON_USE_PYLIST_INTERNALS\n #define CYTHON_USE_PYLIST_INTERNALS 1\n #endif\n #ifndef CYTHON_USE_UNICODE_INTERNALS\n #define CYTHON_USE_UNICODE_INTERNALS 1\n #endif\n #if PY_VERSION_HEX < 0x030300F0\n #undef CYTHON_USE_UNICODE_WRITER\n #define CYTHON_USE_UNICODE_WRITER 0\n #elif !defined(CYTHON_USE_UNICODE_WRITER)\n #define CYTHON_USE_UNICODE_WRITER 1\n #endif\n #ifndef CYTHON_AVOID_BORROWED_REFS\n #define CYTHON_AVOID_BORROWED_REFS 0\n #endif\n #ifndef CYTHON_ASSUME_SAFE_MACROS\n #define CYTHON_ASSUME_SAFE_MACROS 1\n #endif\n #ifndef CYTHON_UNPACK_METHODS\n #define CYTHON_UNPACK_METHODS 1\n #endif\n #ifndef CYTHON_FAST_THREAD_STATE\n #define CYTHON_FAST_THREAD_STATE 1\n #endif\n #ifndef CYTHON_FAST_PYCALL\n #define CYTHON_FAST_PYCALL 1\n #endif\n #ifndef CYTHON_PEP489_MULTI_PHASE_INIT\n #define CYTHON_PEP489_MULTI_PHASE_INIT (PY_VERSION_HEX >= 0x03050000)\n #endif\n #ifndef CYTHON_USE_TP_FINALIZE\n #define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1)\n #endif\n #ifndef CYTHON_USE_DICT_VERSIONS\n #define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX >= 0x030600B1)\n #endif\n #ifndef CYTHON_USE_EXC_INFO_STACK\n #define CYTHON_USE_EXC_INFO_STACK (PY_VERSION_HEX >= 0x030700A3)\n #endif\n#endif\n#if !defined(CYTHON_FAST_PYCCALL)\n#define CYTHON_FAST_PYCCALL (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1)\n#endif\n#if CYTHON_USE_PYLONG_INTERNALS\n #include \"longintrepr.h\"\n #undef SHIFT\n #undef BASE\n #undef MASK\n #ifdef SIZEOF_VOID_P\n enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) };\n #endif\n#endif\n#ifndef __has_attribute\n #define 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PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u)))\n#else\n #define CYTHON_PEP393_ENABLED 0\n #define PyUnicode_1BYTE_KIND 1\n #define PyUnicode_2BYTE_KIND 2\n #define PyUnicode_4BYTE_KIND 4\n #define __Pyx_PyUnicode_READY(op) (0)\n #define __Pyx_PyUnicode_GET_LENGTH(u) PyUnicode_GET_SIZE(u)\n #define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i]))\n #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u) ((sizeof(Py_UNICODE) == 2) ? 65535 : 1114111)\n #define __Pyx_PyUnicode_KIND(u) (sizeof(Py_UNICODE))\n #define __Pyx_PyUnicode_DATA(u) ((void*)PyUnicode_AS_UNICODE(u))\n #define __Pyx_PyUnicode_READ(k, d, i) ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i]))\n #define __Pyx_PyUnicode_WRITE(k, d, i, ch) (((void)(k)), ((Py_UNICODE*)d)[i] = ch)\n #define __Pyx_PyUnicode_IS_TRUE(u) (0 != PyUnicode_GET_SIZE(u))\n#endif\n#if CYTHON_COMPILING_IN_PYPY\n #define __Pyx_PyUnicode_Concat(a, b) PyNumber_Add(a, b)\n #define __Pyx_PyUnicode_ConcatSafe(a, b) PyNumber_Add(a, b)\n#else\n #define __Pyx_PyUnicode_Concat(a, b) PyUnicode_Concat(a, b)\n #define __Pyx_PyUnicode_ConcatSafe(a, b) ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\\\n PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b))\n#endif\n#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains)\n #define PyUnicode_Contains(u, s) PySequence_Contains(u, s)\n#endif\n#if CYTHON_COMPILING_IN_PYPY && !defined(PyByteArray_Check)\n #define PyByteArray_Check(obj) PyObject_TypeCheck(obj, &PyByteArray_Type)\n#endif\n#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format)\n #define PyObject_Format(obj, fmt) PyObject_CallMethod(obj, \"__format__\", \"O\", fmt)\n#endif\n#define __Pyx_PyString_FormatSafe(a, b) ((unlikely((a) == Py_None || (PyString_Check(b) && !PyString_CheckExact(b)))) ? 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PyNumber_Remainder(a, b) : PyUnicode_Format(a, b))\n#if PY_MAJOR_VERSION >= 3\n #define __Pyx_PyString_Format(a, b) PyUnicode_Format(a, b)\n#else\n #define __Pyx_PyString_Format(a, b) PyString_Format(a, b)\n#endif\n#if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII)\n #define PyObject_ASCII(o) PyObject_Repr(o)\n#endif\n#if PY_MAJOR_VERSION >= 3\n #define PyBaseString_Type PyUnicode_Type\n #define PyStringObject PyUnicodeObject\n #define PyString_Type PyUnicode_Type\n #define PyString_Check PyUnicode_Check\n #define PyString_CheckExact PyUnicode_CheckExact\n #define PyObject_Unicode PyObject_Str\n#endif\n#if PY_MAJOR_VERSION >= 3\n #define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)\n #define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)\n#else\n #define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj))\n #define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj))\n#endif\n#ifndef PySet_CheckExact\n #define PySet_CheckExact(obj) (Py_TYPE(obj) == &PySet_Type)\n#endif\n#if CYTHON_ASSUME_SAFE_MACROS\n #define __Pyx_PySequence_SIZE(seq) Py_SIZE(seq)\n#else\n #define __Pyx_PySequence_SIZE(seq) PySequence_Size(seq)\n#endif\n#if PY_MAJOR_VERSION >= 3\n #define PyIntObject PyLongObject\n #define PyInt_Type PyLong_Type\n #define PyInt_Check(op) PyLong_Check(op)\n #define PyInt_CheckExact(op) PyLong_CheckExact(op)\n #define PyInt_FromString PyLong_FromString\n #define PyInt_FromUnicode PyLong_FromUnicode\n #define PyInt_FromLong PyLong_FromLong\n #define PyInt_FromSize_t PyLong_FromSize_t\n #define PyInt_FromSsize_t PyLong_FromSsize_t\n #define PyInt_AsLong PyLong_AsLong\n #define PyInt_AS_LONG PyLong_AS_LONG\n #define PyInt_AsSsize_t PyLong_AsSsize_t\n #define PyInt_AsUnsignedLongMask PyLong_AsUnsignedLongMask\n #define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask\n #define PyNumber_Int PyNumber_Long\n#endif\n#if PY_MAJOR_VERSION >= 3\n #define PyBoolObject PyLongObject\n#endif\n#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY\n #ifndef PyUnicode_InternFromString\n #define PyUnicode_InternFromString(s) PyUnicode_FromString(s)\n #endif\n#endif\n#if PY_VERSION_HEX < 0x030200A4\n typedef long Py_hash_t;\n #define __Pyx_PyInt_FromHash_t PyInt_FromLong\n #define __Pyx_PyInt_AsHash_t PyInt_AsLong\n#else\n #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t\n #define __Pyx_PyInt_AsHash_t PyInt_AsSsize_t\n#endif\n#if PY_MAJOR_VERSION >= 3\n #define __Pyx_PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : (Py_INCREF(func), func))\n#else\n #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)\n#endif\n#if CYTHON_USE_ASYNC_SLOTS\n #if PY_VERSION_HEX >= 0x030500B1\n #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods\n #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)\n #else\n #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))\n #endif\n#else\n #define __Pyx_PyType_AsAsync(obj) NULL\n#endif\n#ifndef __Pyx_PyAsyncMethodsStruct\n typedef struct {\n unaryfunc am_await;\n unaryfunc am_aiter;\n unaryfunc am_anext;\n } __Pyx_PyAsyncMethodsStruct;\n#endif\n\n#if defined(WIN32) || defined(MS_WINDOWS)\n #define _USE_MATH_DEFINES\n#endif\n#include \n#ifdef NAN\n#define __PYX_NAN() ((float) NAN)\n#else\nstatic CYTHON_INLINE float __PYX_NAN() {\n float value;\n memset(&value, 0xFF, sizeof(value));\n return value;\n}\n#endif\n#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL)\n#define __Pyx_truncl trunc\n#else\n#define __Pyx_truncl truncl\n#endif\n\n\n#define __PYX_ERR(f_index, lineno, Ln_error) \\\n{ \\\n __pyx_filename = __pyx_f[f_index]; __pyx_lineno = lineno; __pyx_clineno = __LINE__; goto Ln_error; \\\n}\n\n#ifndef __PYX_EXTERN_C\n #ifdef __cplusplus\n #define __PYX_EXTERN_C extern \"C\"\n #else\n #define __PYX_EXTERN_C extern\n #endif\n#endif\n\n#define __PYX_HAVE__string_transfer\n#define __PYX_HAVE_API__string_transfer\n/* Early includes */\n#include \n#include \n#include \n#ifdef _OPENMP\n#include \n#endif /* _OPENMP */\n\n#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)\n#define CYTHON_WITHOUT_ASSERTIONS\n#endif\n\ntypedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding;\n const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry;\n\n#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0\n#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0\n#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8)\n#define __PYX_DEFAULT_STRING_ENCODING \"\"\n#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString\n#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize\n#define __Pyx_uchar_cast(c) ((unsigned char)c)\n#define __Pyx_long_cast(x) ((long)x)\n#define __Pyx_fits_Py_ssize_t(v, type, is_signed) (\\\n (sizeof(type) < sizeof(Py_ssize_t)) ||\\\n (sizeof(type) > sizeof(Py_ssize_t) &&\\\n likely(v < (type)PY_SSIZE_T_MAX ||\\\n v == (type)PY_SSIZE_T_MAX) &&\\\n (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\\\n v == (type)PY_SSIZE_T_MIN))) ||\\\n (sizeof(type) == sizeof(Py_ssize_t) &&\\\n (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\\\n v == (type)PY_SSIZE_T_MAX))) )\nstatic CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) {\n return (size_t) i < (size_t) limit;\n}\n#if defined (__cplusplus) && __cplusplus >= 201103L\n #include \n #define __Pyx_sst_abs(value) std::abs(value)\n#elif SIZEOF_INT >= SIZEOF_SIZE_T\n #define __Pyx_sst_abs(value) abs(value)\n#elif SIZEOF_LONG >= SIZEOF_SIZE_T\n #define __Pyx_sst_abs(value) labs(value)\n#elif defined (_MSC_VER)\n #define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value))\n#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L\n #define __Pyx_sst_abs(value) llabs(value)\n#elif defined (__GNUC__)\n #define __Pyx_sst_abs(value) __builtin_llabs(value)\n#else\n #define __Pyx_sst_abs(value) ((value<0) ? -value : value)\n#endif\nstatic CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*);\nstatic CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);\n#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s))\n#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l)\n#define __Pyx_PyBytes_FromString PyBytes_FromString\n#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize\nstatic CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);\n#if PY_MAJOR_VERSION < 3\n #define __Pyx_PyStr_FromString __Pyx_PyBytes_FromString\n #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize\n#else\n #define __Pyx_PyStr_FromString __Pyx_PyUnicode_FromString\n #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize\n#endif\n#define __Pyx_PyBytes_AsWritableString(s) ((char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsWritableSString(s) ((signed char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsWritableUString(s) ((unsigned char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsString(s) ((const char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsSString(s) ((const signed char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyBytes_AsUString(s) ((const unsigned char*) PyBytes_AS_STRING(s))\n#define __Pyx_PyObject_AsWritableString(s) ((char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_AsWritableSString(s) ((signed char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_AsWritableUString(s) ((unsigned char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_AsSString(s) ((const signed char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_AsUString(s) ((const unsigned char*) __Pyx_PyObject_AsString(s))\n#define __Pyx_PyObject_FromCString(s) __Pyx_PyObject_FromString((const char*)s)\n#define __Pyx_PyBytes_FromCString(s) __Pyx_PyBytes_FromString((const char*)s)\n#define __Pyx_PyByteArray_FromCString(s) __Pyx_PyByteArray_FromString((const char*)s)\n#define __Pyx_PyStr_FromCString(s) __Pyx_PyStr_FromString((const char*)s)\n#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)\nstatic CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) {\n const Py_UNICODE *u_end = u;\n while (*u_end++) ;\n return (size_t)(u_end - u - 1);\n}\n#define __Pyx_PyUnicode_FromUnicode(u) PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u))\n#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode\n#define __Pyx_PyUnicode_AsUnicode PyUnicode_AsUnicode\n#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj)\n#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None)\nstatic CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b);\nstatic CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);\nstatic CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*);\nstatic CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);\n#define __Pyx_PySequence_Tuple(obj)\\\n (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj))\nstatic CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);\nstatic CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);\n#if CYTHON_ASSUME_SAFE_MACROS\n#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))\n#else\n#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)\n#endif\n#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))\n#if PY_MAJOR_VERSION >= 3\n#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))\n#else\n#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))\n#endif\n#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))\n#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII\nstatic int __Pyx_sys_getdefaultencoding_not_ascii;\nstatic int __Pyx_init_sys_getdefaultencoding_params(void) {\n PyObject* sys;\n PyObject* default_encoding = NULL;\n PyObject* ascii_chars_u = NULL;\n PyObject* ascii_chars_b = NULL;\n const char* default_encoding_c;\n sys = PyImport_ImportModule(\"sys\");\n if (!sys) goto bad;\n default_encoding = PyObject_CallMethod(sys, (char*) \"getdefaultencoding\", NULL);\n Py_DECREF(sys);\n if (!default_encoding) goto bad;\n default_encoding_c = PyBytes_AsString(default_encoding);\n if (!default_encoding_c) goto bad;\n if (strcmp(default_encoding_c, \"ascii\") == 0) {\n __Pyx_sys_getdefaultencoding_not_ascii = 0;\n } else {\n char ascii_chars[128];\n int c;\n for (c = 0; c < 128; c++) {\n ascii_chars[c] = c;\n }\n __Pyx_sys_getdefaultencoding_not_ascii = 1;\n ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL);\n if (!ascii_chars_u) goto bad;\n ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL);\n if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) {\n PyErr_Format(\n PyExc_ValueError,\n \"This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.\",\n default_encoding_c);\n goto bad;\n }\n Py_DECREF(ascii_chars_u);\n Py_DECREF(ascii_chars_b);\n }\n Py_DECREF(default_encoding);\n return 0;\nbad:\n 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char *funcname, int c_line,\n int py_line, const char *filename);\n\n/* ArrayAPI.proto */\n#ifndef _ARRAYARRAY_H\n#define _ARRAYARRAY_H\ntypedef struct arraydescr {\n int typecode;\n int itemsize;\n PyObject * (*getitem)(struct arrayobject *, Py_ssize_t);\n int (*setitem)(struct arrayobject *, Py_ssize_t, PyObject *);\n#if PY_MAJOR_VERSION >= 3\n char *formats;\n#endif\n} arraydescr;\nstruct arrayobject {\n PyObject_HEAD\n Py_ssize_t ob_size;\n union {\n char *ob_item;\n float *as_floats;\n double *as_doubles;\n int *as_ints;\n unsigned int *as_uints;\n unsigned char *as_uchars;\n signed char *as_schars;\n char *as_chars;\n unsigned long *as_ulongs;\n long *as_longs;\n#if PY_MAJOR_VERSION >= 3\n unsigned long long *as_ulonglongs;\n long long *as_longlongs;\n#endif\n short *as_shorts;\n unsigned short *as_ushorts;\n Py_UNICODE *as_pyunicodes;\n void *as_voidptr;\n } data;\n Py_ssize_t allocated;\n struct arraydescr *ob_descr;\n PyObject *weakreflist;\n#if PY_MAJOR_VERSION >= 3\n int ob_exports;\n#endif\n};\n#ifndef NO_NEWARRAY_INLINE\nstatic CYTHON_INLINE PyObject * newarrayobject(PyTypeObject *type, Py_ssize_t size,\n struct arraydescr *descr) {\n arrayobject *op;\n size_t nbytes;\n if (size < 0) {\n PyErr_BadInternalCall();\n return NULL;\n }\n nbytes = size * descr->itemsize;\n if (nbytes / descr->itemsize != (size_t)size) {\n return PyErr_NoMemory();\n }\n op = (arrayobject *) type->tp_alloc(type, 0);\n if (op == NULL) {\n return NULL;\n }\n op->ob_descr = descr;\n op->allocated = size;\n op->weakreflist = NULL;\n op->ob_size = size;\n if (size <= 0) {\n op->data.ob_item = NULL;\n }\n else {\n op->data.ob_item = PyMem_NEW(char, nbytes);\n if (op->data.ob_item == NULL) {\n Py_DECREF(op);\n return PyErr_NoMemory();\n }\n }\n return (PyObject *) op;\n}\n#else\nPyObject* newarrayobject(PyTypeObject *type, Py_ssize_t size,\n struct arraydescr *descr);\n#endif\nstatic CYTHON_INLINE int resize(arrayobject *self, Py_ssize_t n) {\n void *items = (void*) self->data.ob_item;\n PyMem_Resize(items, char, (size_t)(n * self->ob_descr->itemsize));\n if (items == NULL) {\n PyErr_NoMemory();\n return -1;\n }\n self->data.ob_item = (char*) items;\n self->ob_size = n;\n self->allocated = n;\n return 0;\n}\nstatic CYTHON_INLINE int resize_smart(arrayobject *self, Py_ssize_t n) {\n void *items = (void*) self->data.ob_item;\n Py_ssize_t newsize;\n if (n < self->allocated && n*4 > self->allocated) {\n self->ob_size = n;\n return 0;\n }\n newsize = n + (n / 2) + 1;\n if (newsize <= n) {\n PyErr_NoMemory();\n return -1;\n }\n PyMem_Resize(items, char, (size_t)(newsize * self->ob_descr->itemsize));\n if (items == NULL) {\n PyErr_NoMemory();\n return -1;\n }\n self->data.ob_item = (char*) items;\n self->ob_size = n;\n self->allocated = newsize;\n return 0;\n}\n#endif\n\n/* CIntToPy.proto */\nstatic CYTHON_INLINE PyObject* __Pyx_PyInt_From_PY_LONG_LONG(PY_LONG_LONG value);\n\n/* CIntToPy.proto */\nstatic CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long 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}\n fastlocals = __Pyx_PyFrame_GetLocalsplus(f);\n for (i = 0; i < na; i++) {\n Py_INCREF(*args);\n fastlocals[i] = *args++;\n }\n result = PyEval_EvalFrameEx(f,0);\n ++tstate->recursion_depth;\n Py_DECREF(f);\n --tstate->recursion_depth;\n return result;\n}\n#if 1 || PY_VERSION_HEX < 0x030600B1\nstatic PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, PyObject *kwargs) {\n PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func);\n PyObject *globals = PyFunction_GET_GLOBALS(func);\n PyObject *argdefs = PyFunction_GET_DEFAULTS(func);\n PyObject *closure;\n#if PY_MAJOR_VERSION >= 3\n PyObject *kwdefs;\n#endif\n PyObject *kwtuple, **k;\n PyObject **d;\n Py_ssize_t nd;\n Py_ssize_t nk;\n PyObject *result;\n assert(kwargs == NULL || PyDict_Check(kwargs));\n nk = kwargs ? PyDict_Size(kwargs) : 0;\n if (Py_EnterRecursiveCall((char*)\" while calling a Python object\")) {\n return NULL;\n }\n if (\n#if PY_MAJOR_VERSION >= 3\n co->co_kwonlyargcount == 0 &&\n#endif\n likely(kwargs == NULL || nk == 0) &&\n co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) {\n if (argdefs == NULL && co->co_argcount == nargs) {\n result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals);\n goto done;\n }\n else if (nargs == 0 && argdefs != NULL\n && co->co_argcount == Py_SIZE(argdefs)) {\n /* function called with no arguments, but all parameters have\n a default value: use default values as arguments .*/\n args = &PyTuple_GET_ITEM(argdefs, 0);\n result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals);\n goto done;\n }\n }\n if (kwargs != NULL) {\n Py_ssize_t pos, i;\n kwtuple = PyTuple_New(2 * nk);\n if (kwtuple == NULL) {\n result = NULL;\n goto done;\n }\n k = &PyTuple_GET_ITEM(kwtuple, 0);\n pos = i = 0;\n while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) {\n Py_INCREF(k[i]);\n Py_INCREF(k[i+1]);\n i += 2;\n }\n nk = i / 2;\n }\n else {\n kwtuple = NULL;\n k = NULL;\n }\n closure = PyFunction_GET_CLOSURE(func);\n#if PY_MAJOR_VERSION >= 3\n kwdefs = PyFunction_GET_KW_DEFAULTS(func);\n#endif\n if (argdefs != NULL) {\n d = &PyTuple_GET_ITEM(argdefs, 0);\n nd = Py_SIZE(argdefs);\n }\n else {\n d = NULL;\n nd = 0;\n }\n#if PY_MAJOR_VERSION >= 3\n result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL,\n args, nargs,\n k, (int)nk,\n d, (int)nd, kwdefs, closure);\n#else\n result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,\n args, nargs,\n k, (int)nk,\n d, (int)nd, closure);\n#endif\n Py_XDECREF(kwtuple);\ndone:\n Py_LeaveRecursiveCall();\n return result;\n}\n#endif\n#endif\n\n/* PyObjectCall */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {\n PyObject *result;\n ternaryfunc call = func->ob_type->tp_call;\n if (unlikely(!call))\n return PyObject_Call(func, arg, kw);\n if (unlikely(Py_EnterRecursiveCall((char*)\" while calling a Python object\")))\n return NULL;\n result = (*call)(func, arg, kw);\n Py_LeaveRecursiveCall();\n if (unlikely(!result) && unlikely(!PyErr_Occurred())) {\n PyErr_SetString(\n PyExc_SystemError,\n \"NULL result without error in PyObject_Call\");\n }\n return result;\n}\n#endif\n\n/* PyObjectCallMethO */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {\n PyObject *self, *result;\n PyCFunction cfunc;\n cfunc = PyCFunction_GET_FUNCTION(func);\n self = PyCFunction_GET_SELF(func);\n if (unlikely(Py_EnterRecursiveCall((char*)\" while calling a Python object\")))\n return NULL;\n result = cfunc(self, arg);\n Py_LeaveRecursiveCall();\n if (unlikely(!result) && unlikely(!PyErr_Occurred())) {\n PyErr_SetString(\n PyExc_SystemError,\n \"NULL result without error in PyObject_Call\");\n }\n return result;\n}\n#endif\n\n/* PyObjectCallOneArg */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {\n PyObject *result;\n PyObject *args = PyTuple_New(1);\n if (unlikely(!args)) return NULL;\n Py_INCREF(arg);\n PyTuple_SET_ITEM(args, 0, arg);\n result = __Pyx_PyObject_Call(func, args, NULL);\n Py_DECREF(args);\n return result;\n}\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {\n#if CYTHON_FAST_PYCALL\n if (PyFunction_Check(func)) {\n return __Pyx_PyFunction_FastCall(func, &arg, 1);\n }\n#endif\n if (likely(PyCFunction_Check(func))) {\n if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {\n return __Pyx_PyObject_CallMethO(func, arg);\n#if CYTHON_FAST_PYCCALL\n } else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) {\n return __Pyx_PyCFunction_FastCall(func, &arg, 1);\n#endif\n }\n }\n return __Pyx__PyObject_CallOneArg(func, arg);\n}\n#else\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {\n PyObject *result;\n PyObject *args = PyTuple_Pack(1, arg);\n if (unlikely(!args)) return NULL;\n result = __Pyx_PyObject_Call(func, args, NULL);\n Py_DECREF(args);\n return result;\n}\n#endif\n\n/* RaiseException */\n#if PY_MAJOR_VERSION < 3\nstatic void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,\n CYTHON_UNUSED PyObject *cause) {\n __Pyx_PyThreadState_declare\n Py_XINCREF(type);\n if (!value || value == Py_None)\n value = NULL;\n else\n Py_INCREF(value);\n if (!tb || tb == Py_None)\n tb = NULL;\n else {\n Py_INCREF(tb);\n if (!PyTraceBack_Check(tb)) {\n PyErr_SetString(PyExc_TypeError,\n \"raise: arg 3 must be a traceback or None\");\n goto raise_error;\n }\n }\n if (PyType_Check(type)) {\n#if CYTHON_COMPILING_IN_PYPY\n if (!value) {\n Py_INCREF(Py_None);\n value = Py_None;\n }\n#endif\n PyErr_NormalizeException(&type, &value, &tb);\n } else {\n if (value) {\n PyErr_SetString(PyExc_TypeError,\n \"instance exception may not have a separate value\");\n goto raise_error;\n }\n value = type;\n type = (PyObject*) Py_TYPE(type);\n Py_INCREF(type);\n if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {\n PyErr_SetString(PyExc_TypeError,\n \"raise: exception class must be a subclass of BaseException\");\n goto raise_error;\n }\n }\n __Pyx_PyThreadState_assign\n __Pyx_ErrRestore(type, value, tb);\n return;\nraise_error:\n Py_XDECREF(value);\n Py_XDECREF(type);\n Py_XDECREF(tb);\n return;\n}\n#else\nstatic void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {\n PyObject* owned_instance = NULL;\n if (tb == Py_None) {\n tb = 0;\n } else if (tb && !PyTraceBack_Check(tb)) {\n PyErr_SetString(PyExc_TypeError,\n \"raise: arg 3 must be a traceback or None\");\n goto bad;\n }\n if (value == Py_None)\n value = 0;\n if (PyExceptionInstance_Check(type)) {\n if (value) {\n PyErr_SetString(PyExc_TypeError,\n \"instance exception may not have a separate value\");\n goto bad;\n }\n value = type;\n type = (PyObject*) Py_TYPE(value);\n } else if (PyExceptionClass_Check(type)) {\n PyObject *instance_class = NULL;\n if (value && PyExceptionInstance_Check(value)) {\n instance_class = (PyObject*) Py_TYPE(value);\n if (instance_class != type) {\n int is_subclass = PyObject_IsSubclass(instance_class, type);\n if (!is_subclass) {\n instance_class = NULL;\n } else if (unlikely(is_subclass == -1)) {\n goto bad;\n } else {\n type = instance_class;\n }\n }\n }\n if (!instance_class) {\n PyObject *args;\n if (!value)\n args = PyTuple_New(0);\n else if (PyTuple_Check(value)) {\n Py_INCREF(value);\n args = value;\n } else\n args = PyTuple_Pack(1, value);\n if (!args)\n goto bad;\n owned_instance = PyObject_Call(type, args, NULL);\n Py_DECREF(args);\n if (!owned_instance)\n goto bad;\n value = owned_instance;\n if (!PyExceptionInstance_Check(value)) {\n PyErr_Format(PyExc_TypeError,\n \"calling %R should have returned an instance of \"\n \"BaseException, not %R\",\n type, Py_TYPE(value));\n goto bad;\n }\n }\n } else {\n PyErr_SetString(PyExc_TypeError,\n \"raise: exception class must be a subclass of BaseException\");\n goto bad;\n }\n if (cause) {\n PyObject *fixed_cause;\n if (cause == Py_None) {\n fixed_cause = NULL;\n } else if (PyExceptionClass_Check(cause)) {\n fixed_cause = PyObject_CallObject(cause, NULL);\n if (fixed_cause == NULL)\n goto bad;\n } else if (PyExceptionInstance_Check(cause)) {\n fixed_cause = cause;\n Py_INCREF(fixed_cause);\n } else {\n PyErr_SetString(PyExc_TypeError,\n \"exception causes must derive from \"\n \"BaseException\");\n goto bad;\n }\n PyException_SetCause(value, fixed_cause);\n }\n PyErr_SetObject(type, value);\n if (tb) {\n#if CYTHON_COMPILING_IN_PYPY\n PyObject *tmp_type, *tmp_value, *tmp_tb;\n PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb);\n Py_INCREF(tb);\n PyErr_Restore(tmp_type, tmp_value, tb);\n Py_XDECREF(tmp_tb);\n#else\n PyThreadState *tstate = __Pyx_PyThreadState_Current;\n PyObject* tmp_tb = tstate->curexc_traceback;\n if (tb != tmp_tb) {\n Py_INCREF(tb);\n tstate->curexc_traceback = tb;\n Py_XDECREF(tmp_tb);\n }\n#endif\n }\nbad:\n Py_XDECREF(owned_instance);\n return;\n}\n#endif\n\n/* PyDictVersioning */\n#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS\nstatic CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) {\n PyObject *dict = Py_TYPE(obj)->tp_dict;\n return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0;\n}\nstatic CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) {\n PyObject **dictptr = NULL;\n Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset;\n if (offset) {\n#if CYTHON_COMPILING_IN_CPYTHON\n dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj);\n#else\n dictptr = _PyObject_GetDictPtr(obj);\n#endif\n }\n return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0;\n}\nstatic CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) {\n PyObject *dict = Py_TYPE(obj)->tp_dict;\n if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict)))\n return 0;\n return obj_dict_version == __Pyx_get_object_dict_version(obj);\n}\n#endif\n\n/* GetModuleGlobalName */\n#if CYTHON_USE_DICT_VERSIONS\nstatic PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value)\n#else\nstatic CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name)\n#endif\n{\n PyObject *result;\n#if !CYTHON_AVOID_BORROWED_REFS\n#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1\n result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash);\n __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)\n if (likely(result)) {\n return __Pyx_NewRef(result);\n } else if (unlikely(PyErr_Occurred())) {\n return NULL;\n }\n#else\n result = PyDict_GetItem(__pyx_d, name);\n __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)\n if (likely(result)) {\n return __Pyx_NewRef(result);\n }\n#endif\n#else\n result = PyObject_GetItem(__pyx_d, name);\n __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)\n if (likely(result)) {\n return __Pyx_NewRef(result);\n }\n PyErr_Clear();\n#endif\n return __Pyx_GetBuiltinName(name);\n}\n\n/* PyObjectCall2Args */\nstatic CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) {\n PyObject *args, *result = NULL;\n #if CYTHON_FAST_PYCALL\n if (PyFunction_Check(function)) {\n PyObject *args[2] = {arg1, arg2};\n return __Pyx_PyFunction_FastCall(function, args, 2);\n }\n #endif\n #if CYTHON_FAST_PYCCALL\n if (__Pyx_PyFastCFunction_Check(function)) {\n PyObject *args[2] = {arg1, arg2};\n return __Pyx_PyCFunction_FastCall(function, args, 2);\n }\n #endif\n args = PyTuple_New(2);\n if (unlikely(!args)) goto done;\n Py_INCREF(arg1);\n PyTuple_SET_ITEM(args, 0, arg1);\n Py_INCREF(arg2);\n PyTuple_SET_ITEM(args, 1, arg2);\n Py_INCREF(function);\n result = __Pyx_PyObject_Call(function, args, NULL);\n Py_DECREF(args);\n Py_DECREF(function);\ndone:\n return result;\n}\n\n/* RaiseTooManyValuesToUnpack */\nstatic CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {\n PyErr_Format(PyExc_ValueError,\n \"too many values to unpack (expected %\" CYTHON_FORMAT_SSIZE_T \"d)\", expected);\n}\n\n/* RaiseNeedMoreValuesToUnpack */\nstatic CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {\n PyErr_Format(PyExc_ValueError,\n \"need more than %\" CYTHON_FORMAT_SSIZE_T \"d value%.1s to unpack\",\n index, (index == 1) ? \"\" : \"s\");\n}\n\n/* IterFinish */\nstatic CYTHON_INLINE int __Pyx_IterFinish(void) {\n#if CYTHON_FAST_THREAD_STATE\n PyThreadState *tstate = __Pyx_PyThreadState_Current;\n PyObject* exc_type = tstate->curexc_type;\n if (unlikely(exc_type)) {\n if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) {\n PyObject *exc_value, *exc_tb;\n exc_value = tstate->curexc_value;\n exc_tb = tstate->curexc_traceback;\n tstate->curexc_type = 0;\n tstate->curexc_value = 0;\n tstate->curexc_traceback = 0;\n Py_DECREF(exc_type);\n Py_XDECREF(exc_value);\n Py_XDECREF(exc_tb);\n return 0;\n } else {\n return -1;\n }\n }\n return 0;\n#else\n if (unlikely(PyErr_Occurred())) {\n if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) {\n PyErr_Clear();\n return 0;\n } else {\n return -1;\n }\n }\n return 0;\n#endif\n}\n\n/* UnpackItemEndCheck */\nstatic int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) {\n if (unlikely(retval)) {\n Py_DECREF(retval);\n __Pyx_RaiseTooManyValuesError(expected);\n return -1;\n } else {\n return __Pyx_IterFinish();\n }\n return 0;\n}\n\n/* PyObjectCallNoArg */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) {\n#if CYTHON_FAST_PYCALL\n if (PyFunction_Check(func)) {\n return __Pyx_PyFunction_FastCall(func, NULL, 0);\n }\n#endif\n#ifdef __Pyx_CyFunction_USED\n if (likely(PyCFunction_Check(func) || __Pyx_CyFunction_Check(func)))\n#else\n if (likely(PyCFunction_Check(func)))\n#endif\n {\n if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) {\n return __Pyx_PyObject_CallMethO(func, NULL);\n }\n }\n return __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL);\n}\n#endif\n\n/* TypeImport */\n#ifndef __PYX_HAVE_RT_ImportType\n#define __PYX_HAVE_RT_ImportType\nstatic PyTypeObject *__Pyx_ImportType(PyObject *module, const char *module_name, const char *class_name,\n size_t size, enum __Pyx_ImportType_CheckSize check_size)\n{\n PyObject *result = 0;\n char warning[200];\n Py_ssize_t basicsize;\n#ifdef Py_LIMITED_API\n PyObject *py_basicsize;\n#endif\n result = PyObject_GetAttrString(module, class_name);\n if (!result)\n goto bad;\n if (!PyType_Check(result)) {\n PyErr_Format(PyExc_TypeError,\n \"%.200s.%.200s is not a type object\",\n module_name, class_name);\n goto bad;\n }\n#ifndef Py_LIMITED_API\n basicsize = ((PyTypeObject *)result)->tp_basicsize;\n#else\n py_basicsize = PyObject_GetAttrString(result, \"__basicsize__\");\n if (!py_basicsize)\n goto bad;\n basicsize = PyLong_AsSsize_t(py_basicsize);\n Py_DECREF(py_basicsize);\n py_basicsize = 0;\n if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred())\n goto bad;\n#endif\n if ((size_t)basicsize < size) {\n PyErr_Format(PyExc_ValueError,\n \"%.200s.%.200s size changed, may indicate binary incompatibility. \"\n \"Expected %zd from C header, got %zd from PyObject\",\n module_name, class_name, size, basicsize);\n goto bad;\n }\n if (check_size == __Pyx_ImportType_CheckSize_Error && (size_t)basicsize != size) {\n PyErr_Format(PyExc_ValueError,\n \"%.200s.%.200s size changed, may indicate binary incompatibility. \"\n \"Expected %zd from C header, got %zd from PyObject\",\n module_name, class_name, size, basicsize);\n goto bad;\n }\n else if (check_size == __Pyx_ImportType_CheckSize_Warn && (size_t)basicsize > size) {\n PyOS_snprintf(warning, sizeof(warning),\n \"%s.%s size changed, may indicate binary incompatibility. \"\n \"Expected %zd from C header, got %zd from PyObject\",\n module_name, class_name, size, basicsize);\n if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;\n }\n return (PyTypeObject *)result;\nbad:\n Py_XDECREF(result);\n return NULL;\n}\n#endif\n\n/* Import */\nstatic PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {\n PyObject *empty_list = 0;\n PyObject *module = 0;\n PyObject *global_dict = 0;\n PyObject *empty_dict = 0;\n PyObject *list;\n #if PY_MAJOR_VERSION < 3\n PyObject *py_import;\n py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);\n if (!py_import)\n goto bad;\n #endif\n if (from_list)\n list = from_list;\n else {\n empty_list = PyList_New(0);\n if (!empty_list)\n goto bad;\n list = empty_list;\n }\n global_dict = PyModule_GetDict(__pyx_m);\n if (!global_dict)\n goto bad;\n empty_dict = PyDict_New();\n if (!empty_dict)\n goto bad;\n {\n #if PY_MAJOR_VERSION >= 3\n if (level == -1) {\n if (strchr(__Pyx_MODULE_NAME, '.')) {\n module = PyImport_ImportModuleLevelObject(\n name, global_dict, empty_dict, list, 1);\n if (!module) {\n if (!PyErr_ExceptionMatches(PyExc_ImportError))\n goto bad;\n PyErr_Clear();\n }\n }\n level = 0;\n }\n #endif\n if (!module) {\n #if PY_MAJOR_VERSION < 3\n PyObject *py_level = PyInt_FromLong(level);\n if (!py_level)\n goto bad;\n module = PyObject_CallFunctionObjArgs(py_import,\n name, global_dict, empty_dict, list, py_level, (PyObject *)NULL);\n Py_DECREF(py_level);\n #else\n module = PyImport_ImportModuleLevelObject(\n name, global_dict, empty_dict, list, level);\n #endif\n }\n }\nbad:\n #if PY_MAJOR_VERSION < 3\n Py_XDECREF(py_import);\n #endif\n Py_XDECREF(empty_list);\n Py_XDECREF(empty_dict);\n return module;\n}\n\n/* ImportFrom */\nstatic PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {\n PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);\n if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {\n PyErr_Format(PyExc_ImportError,\n #if PY_MAJOR_VERSION < 3\n \"cannot import name %.230s\", PyString_AS_STRING(name));\n #else\n \"cannot import name %S\", name);\n #endif\n }\n return value;\n}\n\n/* CLineInTraceback */\n#ifndef CYTHON_CLINE_IN_TRACEBACK\nstatic int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) {\n PyObject *use_cline;\n PyObject *ptype, *pvalue, *ptraceback;\n#if CYTHON_COMPILING_IN_CPYTHON\n PyObject **cython_runtime_dict;\n#endif\n if (unlikely(!__pyx_cython_runtime)) {\n return c_line;\n }\n __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);\n#if CYTHON_COMPILING_IN_CPYTHON\n cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime);\n if (likely(cython_runtime_dict)) {\n __PYX_PY_DICT_LOOKUP_IF_MODIFIED(\n use_cline, *cython_runtime_dict,\n __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback))\n } else\n#endif\n {\n PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback);\n if (use_cline_obj) {\n use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True;\n Py_DECREF(use_cline_obj);\n } else {\n PyErr_Clear();\n use_cline = NULL;\n }\n }\n if (!use_cline) {\n c_line = 0;\n PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False);\n }\n else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) {\n c_line = 0;\n }\n __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);\n return c_line;\n}\n#endif\n\n/* CodeObjectCache */\nstatic int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {\n int start = 0, mid = 0, end = count - 1;\n if (end >= 0 && code_line > entries[end].code_line) {\n return count;\n }\n while (start < end) {\n mid = start + (end - start) / 2;\n if (code_line < entries[mid].code_line) {\n end = mid;\n } else if (code_line > entries[mid].code_line) {\n start = mid + 1;\n } else {\n return mid;\n }\n }\n if (code_line <= entries[mid].code_line) {\n return mid;\n } else {\n return mid + 1;\n }\n}\nstatic PyCodeObject *__pyx_find_code_object(int code_line) {\n PyCodeObject* code_object;\n int pos;\n if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {\n return NULL;\n }\n pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);\n if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {\n return NULL;\n }\n code_object = __pyx_code_cache.entries[pos].code_object;\n Py_INCREF(code_object);\n return code_object;\n}\nstatic void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {\n int pos, i;\n __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;\n if (unlikely(!code_line)) {\n return;\n }\n if (unlikely(!entries)) {\n entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));\n if (likely(entries)) {\n __pyx_code_cache.entries = entries;\n __pyx_code_cache.max_count = 64;\n __pyx_code_cache.count = 1;\n entries[0].code_line = code_line;\n entries[0].code_object = code_object;\n Py_INCREF(code_object);\n }\n return;\n }\n pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);\n if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {\n PyCodeObject* tmp = entries[pos].code_object;\n entries[pos].code_object = code_object;\n Py_DECREF(tmp);\n return;\n }\n if (__pyx_code_cache.count == __pyx_code_cache.max_count) {\n int new_max = __pyx_code_cache.max_count + 64;\n entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(\n __pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry));\n if (unlikely(!entries)) {\n return;\n }\n __pyx_code_cache.entries = entries;\n __pyx_code_cache.max_count = new_max;\n }\n for (i=__pyx_code_cache.count; i>pos; i--) {\n entries[i] = entries[i-1];\n }\n entries[pos].code_line = code_line;\n entries[pos].code_object = code_object;\n __pyx_code_cache.count++;\n Py_INCREF(code_object);\n}\n\n/* AddTraceback */\n#include \"compile.h\"\n#include \"frameobject.h\"\n#include \"traceback.h\"\nstatic PyCodeObject* __Pyx_CreateCodeObjectForTraceback(\n const char *funcname, int c_line,\n int py_line, const char *filename) {\n PyCodeObject *py_code = 0;\n PyObject *py_srcfile = 0;\n PyObject *py_funcname = 0;\n #if PY_MAJOR_VERSION < 3\n py_srcfile = PyString_FromString(filename);\n #else\n py_srcfile = PyUnicode_FromString(filename);\n #endif\n if (!py_srcfile) goto bad;\n if (c_line) {\n #if PY_MAJOR_VERSION < 3\n py_funcname = PyString_FromFormat( \"%s (%s:%d)\", funcname, __pyx_cfilenm, c_line);\n #else\n py_funcname = PyUnicode_FromFormat( \"%s (%s:%d)\", funcname, __pyx_cfilenm, c_line);\n #endif\n }\n else {\n #if PY_MAJOR_VERSION < 3\n py_funcname = PyString_FromString(funcname);\n #else\n py_funcname = PyUnicode_FromString(funcname);\n #endif\n }\n if (!py_funcname) goto bad;\n py_code = __Pyx_PyCode_New(\n 0,\n 0,\n 0,\n 0,\n 0,\n __pyx_empty_bytes, /*PyObject *code,*/\n __pyx_empty_tuple, /*PyObject *consts,*/\n __pyx_empty_tuple, /*PyObject *names,*/\n __pyx_empty_tuple, /*PyObject *varnames,*/\n __pyx_empty_tuple, /*PyObject *freevars,*/\n __pyx_empty_tuple, /*PyObject *cellvars,*/\n py_srcfile, /*PyObject *filename,*/\n py_funcname, /*PyObject *name,*/\n py_line,\n __pyx_empty_bytes /*PyObject *lnotab*/\n );\n Py_DECREF(py_srcfile);\n Py_DECREF(py_funcname);\n return py_code;\nbad:\n Py_XDECREF(py_srcfile);\n Py_XDECREF(py_funcname);\n return NULL;\n}\nstatic void __Pyx_AddTraceback(const char *funcname, int c_line,\n int py_line, const char *filename) {\n PyCodeObject *py_code = 0;\n PyFrameObject *py_frame = 0;\n PyThreadState *tstate = __Pyx_PyThreadState_Current;\n if (c_line) {\n c_line = __Pyx_CLineForTraceback(tstate, c_line);\n }\n py_code = __pyx_find_code_object(c_line ? -c_line : py_line);\n if (!py_code) {\n py_code = __Pyx_CreateCodeObjectForTraceback(\n funcname, c_line, py_line, filename);\n if (!py_code) goto bad;\n __pyx_insert_code_object(c_line ? -c_line : py_line, py_code);\n }\n py_frame = PyFrame_New(\n tstate, /*PyThreadState *tstate,*/\n py_code, /*PyCodeObject *code,*/\n __pyx_d, /*PyObject *globals,*/\n 0 /*PyObject *locals*/\n );\n if (!py_frame) goto bad;\n __Pyx_PyFrame_SetLineNumber(py_frame, py_line);\n PyTraceBack_Here(py_frame);\nbad:\n Py_XDECREF(py_code);\n Py_XDECREF(py_frame);\n}\n\n/* CIntToPy */\nstatic CYTHON_INLINE PyObject* __Pyx_PyInt_From_PY_LONG_LONG(PY_LONG_LONG value) {\n const PY_LONG_LONG neg_one = (PY_LONG_LONG) ((PY_LONG_LONG) 0 - (PY_LONG_LONG) 1), const_zero = (PY_LONG_LONG) 0;\n const int is_unsigned = neg_one > const_zero;\n if (is_unsigned) {\n if (sizeof(PY_LONG_LONG) < sizeof(long)) {\n return PyInt_FromLong((long) value);\n } else if (sizeof(PY_LONG_LONG) <= sizeof(unsigned long)) {\n return PyLong_FromUnsignedLong((unsigned long) value);\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(PY_LONG_LONG) <= sizeof(unsigned PY_LONG_LONG)) {\n return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);\n#endif\n }\n } else {\n if (sizeof(PY_LONG_LONG) <= sizeof(long)) {\n return PyInt_FromLong((long) value);\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(PY_LONG_LONG) <= sizeof(PY_LONG_LONG)) {\n return PyLong_FromLongLong((PY_LONG_LONG) value);\n#endif\n }\n }\n {\n int one = 1; int little = (int)*(unsigned char *)&one;\n unsigned char *bytes = (unsigned char *)&value;\n return _PyLong_FromByteArray(bytes, sizeof(PY_LONG_LONG),\n little, !is_unsigned);\n }\n}\n\n/* CIntToPy */\nstatic CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {\n const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;\n const int is_unsigned = neg_one > const_zero;\n if (is_unsigned) {\n if (sizeof(long) < sizeof(long)) {\n return PyInt_FromLong((long) value);\n } else if (sizeof(long) <= sizeof(unsigned long)) {\n return PyLong_FromUnsignedLong((unsigned long) value);\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {\n return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);\n#endif\n }\n } else {\n if (sizeof(long) <= sizeof(long)) {\n return PyInt_FromLong((long) value);\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {\n return PyLong_FromLongLong((PY_LONG_LONG) value);\n#endif\n }\n }\n {\n int one = 1; int little = (int)*(unsigned char *)&one;\n unsigned char *bytes = (unsigned char *)&value;\n return _PyLong_FromByteArray(bytes, sizeof(long),\n little, !is_unsigned);\n }\n}\n\n/* CIntFromPyVerify */\n#define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\\\n __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0)\n#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\\\n __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1)\n#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\\\n {\\\n func_type value = func_value;\\\n if (sizeof(target_type) < sizeof(func_type)) {\\\n if (unlikely(value != (func_type) (target_type) value)) {\\\n func_type zero = 0;\\\n if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\\\n return (target_type) -1;\\\n if (is_unsigned && unlikely(value < zero))\\\n goto raise_neg_overflow;\\\n else\\\n goto raise_overflow;\\\n }\\\n }\\\n return (target_type) value;\\\n }\n\n/* CIntFromPy */\nstatic CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {\n const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;\n const int is_unsigned = neg_one > const_zero;\n#if PY_MAJOR_VERSION < 3\n if (likely(PyInt_Check(x))) {\n if (sizeof(long) < sizeof(long)) {\n __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))\n } else {\n long val = PyInt_AS_LONG(x);\n if (is_unsigned && unlikely(val < 0)) {\n goto raise_neg_overflow;\n }\n return (long) val;\n }\n } else\n#endif\n if (likely(PyLong_Check(x))) {\n if (is_unsigned) {\n#if CYTHON_USE_PYLONG_INTERNALS\n const digit* digits = ((PyLongObject*)x)->ob_digit;\n switch (Py_SIZE(x)) {\n case 0: return (long) 0;\n case 1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])\n case 2:\n if (8 * sizeof(long) > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {\n return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));\n }\n }\n break;\n case 3:\n if (8 * sizeof(long) > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {\n return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));\n }\n }\n break;\n case 4:\n if (8 * sizeof(long) > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {\n return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));\n }\n }\n break;\n }\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON\n if (unlikely(Py_SIZE(x) < 0)) {\n goto raise_neg_overflow;\n }\n#else\n {\n int result = PyObject_RichCompareBool(x, Py_False, Py_LT);\n if (unlikely(result < 0))\n return (long) -1;\n if (unlikely(result == 1))\n goto raise_neg_overflow;\n }\n#endif\n if (sizeof(long) <= sizeof(unsigned long)) {\n __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {\n __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))\n#endif\n }\n } else {\n#if CYTHON_USE_PYLONG_INTERNALS\n const digit* digits = ((PyLongObject*)x)->ob_digit;\n switch (Py_SIZE(x)) {\n case 0: return (long) 0;\n case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0]))\n case 1: __PYX_VERIFY_RETURN_INT(long, digit, +digits[0])\n case -2:\n if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {\n return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n }\n }\n break;\n case 2:\n if (8 * sizeof(long) > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {\n return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n }\n }\n break;\n case -3:\n if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {\n return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n }\n }\n break;\n case 3:\n if (8 * sizeof(long) > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {\n return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n }\n }\n break;\n case -4:\n if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {\n return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n }\n }\n break;\n case 4:\n if (8 * sizeof(long) > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {\n return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));\n }\n }\n break;\n }\n#endif\n if (sizeof(long) <= sizeof(long)) {\n __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {\n __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))\n#endif\n }\n }\n {\n#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)\n PyErr_SetString(PyExc_RuntimeError,\n \"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers\");\n#else\n long val;\n PyObject *v = __Pyx_PyNumber_IntOrLong(x);\n #if PY_MAJOR_VERSION < 3\n if (likely(v) && !PyLong_Check(v)) {\n PyObject *tmp = v;\n v = PyNumber_Long(tmp);\n Py_DECREF(tmp);\n }\n #endif\n if (likely(v)) {\n int one = 1; int is_little = (int)*(unsigned char *)&one;\n unsigned char *bytes = (unsigned char *)&val;\n int ret = _PyLong_AsByteArray((PyLongObject *)v,\n bytes, sizeof(val),\n is_little, !is_unsigned);\n Py_DECREF(v);\n if (likely(!ret))\n return val;\n }\n#endif\n return (long) -1;\n }\n } else {\n long val;\n PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);\n if (!tmp) return (long) -1;\n val = __Pyx_PyInt_As_long(tmp);\n Py_DECREF(tmp);\n return val;\n }\nraise_overflow:\n PyErr_SetString(PyExc_OverflowError,\n \"value too large to convert to long\");\n return (long) -1;\nraise_neg_overflow:\n PyErr_SetString(PyExc_OverflowError,\n \"can't convert negative value to long\");\n return (long) -1;\n}\n\n/* CIntFromPy */\nstatic CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {\n const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;\n const int is_unsigned = neg_one > const_zero;\n#if PY_MAJOR_VERSION < 3\n if (likely(PyInt_Check(x))) {\n if (sizeof(int) < sizeof(long)) {\n __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))\n } else {\n long val = PyInt_AS_LONG(x);\n if (is_unsigned && unlikely(val < 0)) {\n goto raise_neg_overflow;\n }\n return (int) val;\n }\n } else\n#endif\n if (likely(PyLong_Check(x))) {\n if (is_unsigned) {\n#if CYTHON_USE_PYLONG_INTERNALS\n const digit* digits = ((PyLongObject*)x)->ob_digit;\n switch (Py_SIZE(x)) {\n case 0: return (int) 0;\n case 1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])\n case 2:\n if (8 * sizeof(int) > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {\n return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));\n }\n }\n break;\n case 3:\n if (8 * sizeof(int) > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {\n return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));\n }\n }\n break;\n case 4:\n if (8 * sizeof(int) > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {\n return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));\n }\n }\n break;\n }\n#endif\n#if CYTHON_COMPILING_IN_CPYTHON\n if (unlikely(Py_SIZE(x) < 0)) {\n goto raise_neg_overflow;\n }\n#else\n {\n int result = PyObject_RichCompareBool(x, Py_False, Py_LT);\n if (unlikely(result < 0))\n return (int) -1;\n if (unlikely(result == 1))\n goto raise_neg_overflow;\n }\n#endif\n if (sizeof(int) <= sizeof(unsigned long)) {\n __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {\n __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))\n#endif\n }\n } else {\n#if CYTHON_USE_PYLONG_INTERNALS\n const digit* digits = ((PyLongObject*)x)->ob_digit;\n switch (Py_SIZE(x)) {\n case 0: return (int) 0;\n case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0]))\n case 1: __PYX_VERIFY_RETURN_INT(int, digit, +digits[0])\n case -2:\n if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {\n return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n }\n }\n break;\n case 2:\n if (8 * sizeof(int) > 1 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {\n return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n }\n }\n break;\n case -3:\n if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {\n return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n }\n }\n break;\n case 3:\n if (8 * sizeof(int) > 2 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {\n return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n }\n }\n break;\n case -4:\n if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {\n return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n }\n }\n break;\n case 4:\n if (8 * sizeof(int) > 3 * PyLong_SHIFT) {\n if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {\n __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))\n } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {\n return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));\n }\n }\n break;\n }\n#endif\n if (sizeof(int) <= sizeof(long)) {\n __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))\n#ifdef HAVE_LONG_LONG\n } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {\n __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))\n#endif\n }\n }\n {\n#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)\n PyErr_SetString(PyExc_RuntimeError,\n \"_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers\");\n#else\n int val;\n PyObject *v = __Pyx_PyNumber_IntOrLong(x);\n #if PY_MAJOR_VERSION < 3\n if (likely(v) && !PyLong_Check(v)) {\n PyObject *tmp = v;\n v = PyNumber_Long(tmp);\n Py_DECREF(tmp);\n }\n #endif\n if (likely(v)) {\n int one = 1; int is_little = (int)*(unsigned char *)&one;\n unsigned char *bytes = (unsigned char *)&val;\n int ret = _PyLong_AsByteArray((PyLongObject *)v,\n bytes, sizeof(val),\n is_little, !is_unsigned);\n Py_DECREF(v);\n if (likely(!ret))\n return val;\n }\n#endif\n return (int) -1;\n }\n } else {\n int val;\n PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);\n if (!tmp) return (int) -1;\n val = __Pyx_PyInt_As_int(tmp);\n Py_DECREF(tmp);\n return val;\n }\nraise_overflow:\n PyErr_SetString(PyExc_OverflowError,\n \"value too large to convert to int\");\n return (int) -1;\nraise_neg_overflow:\n PyErr_SetString(PyExc_OverflowError,\n \"can't convert negative value to int\");\n return (int) -1;\n}\n\n/* FastTypeChecks */\n#if CYTHON_COMPILING_IN_CPYTHON\nstatic int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {\n while (a) {\n a = a->tp_base;\n if (a == b)\n return 1;\n }\n return b == &PyBaseObject_Type;\n}\nstatic CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {\n PyObject *mro;\n if (a == b) return 1;\n mro = a->tp_mro;\n if (likely(mro)) {\n Py_ssize_t i, n;\n n = PyTuple_GET_SIZE(mro);\n for (i = 0; i < n; i++) {\n if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)\n return 1;\n }\n return 0;\n }\n return __Pyx_InBases(a, b);\n}\n#if PY_MAJOR_VERSION == 2\nstatic int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {\n PyObject *exception, *value, *tb;\n int res;\n __Pyx_PyThreadState_declare\n __Pyx_PyThreadState_assign\n __Pyx_ErrFetch(&exception, &value, &tb);\n res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;\n if (unlikely(res == -1)) {\n PyErr_WriteUnraisable(err);\n res = 0;\n }\n if (!res) {\n res = PyObject_IsSubclass(err, exc_type2);\n if (unlikely(res == -1)) {\n PyErr_WriteUnraisable(err);\n res = 0;\n }\n }\n __Pyx_ErrRestore(exception, value, tb);\n return res;\n}\n#else\nstatic CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {\n int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;\n if (!res) {\n res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);\n }\n return res;\n}\n#endif\nstatic int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {\n Py_ssize_t i, n;\n assert(PyExceptionClass_Check(exc_type));\n n = PyTuple_GET_SIZE(tuple);\n#if PY_MAJOR_VERSION >= 3\n for (i=0; ip) {\n #if PY_MAJOR_VERSION < 3\n if (t->is_unicode) {\n *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);\n } else if (t->intern) {\n *t->p = PyString_InternFromString(t->s);\n } else {\n *t->p = PyString_FromStringAndSize(t->s, t->n - 1);\n }\n #else\n if (t->is_unicode | t->is_str) {\n if (t->intern) {\n *t->p = PyUnicode_InternFromString(t->s);\n } else if (t->encoding) {\n *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);\n } else {\n *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);\n }\n } else {\n *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);\n }\n #endif\n if (!*t->p)\n return -1;\n if (PyObject_Hash(*t->p) == -1)\n return -1;\n ++t;\n }\n return 0;\n}\n\nstatic CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {\n return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str));\n}\nstatic CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) {\n Py_ssize_t ignore;\n return __Pyx_PyObject_AsStringAndSize(o, &ignore);\n}\n#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT\n#if !CYTHON_PEP393_ENABLED\nstatic const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {\n char* defenc_c;\n PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL);\n if (!defenc) return NULL;\n defenc_c = PyBytes_AS_STRING(defenc);\n#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII\n {\n char* end = defenc_c + PyBytes_GET_SIZE(defenc);\n char* c;\n for (c = defenc_c; c < end; c++) {\n if ((unsigned char) (*c) >= 128) {\n PyUnicode_AsASCIIString(o);\n return NULL;\n }\n }\n }\n#endif\n *length = PyBytes_GET_SIZE(defenc);\n return defenc_c;\n}\n#else\nstatic CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {\n if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL;\n#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII\n if (likely(PyUnicode_IS_ASCII(o))) {\n *length = PyUnicode_GET_LENGTH(o);\n return PyUnicode_AsUTF8(o);\n } else {\n PyUnicode_AsASCIIString(o);\n return NULL;\n }\n#else\n return PyUnicode_AsUTF8AndSize(o, length);\n#endif\n}\n#endif\n#endif\nstatic CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {\n#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT\n if (\n#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII\n __Pyx_sys_getdefaultencoding_not_ascii &&\n#endif\n PyUnicode_Check(o)) {\n return __Pyx_PyUnicode_AsStringAndSize(o, length);\n } else\n#endif\n#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))\n if (PyByteArray_Check(o)) {\n *length = PyByteArray_GET_SIZE(o);\n return PyByteArray_AS_STRING(o);\n } else\n#endif\n {\n char* result;\n int r = PyBytes_AsStringAndSize(o, &result, length);\n if (unlikely(r < 0)) {\n return NULL;\n } else {\n return result;\n }\n }\n}\nstatic CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {\n int is_true = x == Py_True;\n if (is_true | (x == Py_False) | (x == Py_None)) return is_true;\n else return PyObject_IsTrue(x);\n}\nstatic CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) {\n int retval;\n if (unlikely(!x)) return -1;\n retval = __Pyx_PyObject_IsTrue(x);\n Py_DECREF(x);\n return retval;\n}\nstatic PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) {\n#if PY_MAJOR_VERSION >= 3\n if (PyLong_Check(result)) {\n if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1,\n \"__int__ returned non-int (type %.200s). \"\n \"The ability to return an instance of a strict subclass of int \"\n \"is deprecated, and may be removed in a future version of Python.\",\n Py_TYPE(result)->tp_name)) {\n Py_DECREF(result);\n return NULL;\n }\n return result;\n }\n#endif\n PyErr_Format(PyExc_TypeError,\n \"__%.4s__ returned non-%.4s (type %.200s)\",\n type_name, type_name, Py_TYPE(result)->tp_name);\n Py_DECREF(result);\n return NULL;\n}\nstatic CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {\n#if CYTHON_USE_TYPE_SLOTS\n PyNumberMethods *m;\n#endif\n const char *name = NULL;\n PyObject *res = NULL;\n#if PY_MAJOR_VERSION < 3\n if (likely(PyInt_Check(x) || PyLong_Check(x)))\n#else\n if (likely(PyLong_Check(x)))\n#endif\n return __Pyx_NewRef(x);\n#if CYTHON_USE_TYPE_SLOTS\n m = Py_TYPE(x)->tp_as_number;\n #if PY_MAJOR_VERSION < 3\n if (m && m->nb_int) {\n name = \"int\";\n res = m->nb_int(x);\n }\n else if (m && m->nb_long) {\n name = \"long\";\n res = m->nb_long(x);\n }\n #else\n if (likely(m && m->nb_int)) {\n name = \"int\";\n res = m->nb_int(x);\n }\n #endif\n#else\n if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) {\n res = PyNumber_Int(x);\n }\n#endif\n if (likely(res)) {\n#if PY_MAJOR_VERSION < 3\n if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) {\n#else\n if (unlikely(!PyLong_CheckExact(res))) {\n#endif\n return __Pyx_PyNumber_IntOrLongWrongResultType(res, name);\n }\n }\n else if (!PyErr_Occurred()) {\n PyErr_SetString(PyExc_TypeError,\n \"an integer is required\");\n }\n return res;\n}\nstatic CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {\n Py_ssize_t ival;\n PyObject *x;\n#if PY_MAJOR_VERSION < 3\n if (likely(PyInt_CheckExact(b))) {\n if (sizeof(Py_ssize_t) >= sizeof(long))\n return PyInt_AS_LONG(b);\n else\n return PyInt_AsSsize_t(b);\n }\n#endif\n if (likely(PyLong_CheckExact(b))) {\n #if CYTHON_USE_PYLONG_INTERNALS\n const digit* digits = ((PyLongObject*)b)->ob_digit;\n const Py_ssize_t size = Py_SIZE(b);\n if (likely(__Pyx_sst_abs(size) <= 1)) {\n ival = likely(size) ? digits[0] : 0;\n if (size == -1) ival = -ival;\n return ival;\n } else {\n switch (size) {\n case 2:\n if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {\n return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));\n }\n break;\n case -2:\n if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {\n return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));\n }\n break;\n case 3:\n if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {\n return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));\n }\n break;\n case -3:\n if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {\n return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));\n }\n break;\n case 4:\n if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {\n return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));\n }\n break;\n case -4:\n if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {\n return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));\n }\n break;\n }\n }\n #endif\n return PyLong_AsSsize_t(b);\n }\n x = PyNumber_Index(b);\n if (!x) return -1;\n ival = PyInt_AsSsize_t(x);\n Py_DECREF(x);\n return ival;\n}\nstatic CYTHON_INLINE PyObject 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Generated by Cython 0.29.6

\n

\n Yellow lines hint at Python interaction.
\n Click on a line that starts with a \"+\" to see the C code that Cython generated for it.\n

\n

Raw output: string_transfer.c

\n
+01: from cython import boundscheck, wraparound
\n
  __pyx_t_4 = __Pyx_PyDict_NewPresized(0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1, __pyx_L1_error)\n  __Pyx_GOTREF(__pyx_t_4);\n  if (PyDict_SetItem(__pyx_d, __pyx_n_s_test, __pyx_t_4) < 0) __PYX_ERR(0, 1, __pyx_L1_error)\n  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;\n
 02: from libc.stdlib cimport atoll, atof
\n
+03: from datetime import datetime, date
\n
  __pyx_t_1 = PyList_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 3, __pyx_L1_error)\n  __Pyx_GOTREF(__pyx_t_1);\n  __Pyx_INCREF(__pyx_n_s_datetime);\n  __Pyx_GIVEREF(__pyx_n_s_datetime);\n  PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_datetime);\n  __Pyx_INCREF(__pyx_n_s_date);\n  __Pyx_GIVEREF(__pyx_n_s_date);\n  PyList_SET_ITEM(__pyx_t_1, 1, __pyx_n_s_date);\n  __pyx_t_2 = __Pyx_Import(__pyx_n_s_datetime, __pyx_t_1, -1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 3, __pyx_L1_error)\n  __Pyx_GOTREF(__pyx_t_2);\n  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;\n  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_datetime); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 3, __pyx_L1_error)\n  __Pyx_GOTREF(__pyx_t_1);\n  if (PyDict_SetItem(__pyx_d, __pyx_n_s_datetime, __pyx_t_1) < 0) __PYX_ERR(0, 3, __pyx_L1_error)\n  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;\n  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_date); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 3, __pyx_L1_error)\n  __Pyx_GOTREF(__pyx_t_1);\n  if (PyDict_SetItem(__pyx_d, __pyx_n_s_date, __pyx_t_1) < 0) __PYX_ERR(0, 3, __pyx_L1_error)\n  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;\n  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;\n
+04: from re import compile as _compile
\n
  __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4, __pyx_L1_error)\n  __Pyx_GOTREF(__pyx_t_2);\n  __Pyx_INCREF(__pyx_n_s_compile);\n  __Pyx_GIVEREF(__pyx_n_s_compile);\n  PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_compile);\n  __pyx_t_1 = __Pyx_Import(__pyx_n_s_re, __pyx_t_2, -1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 4, __pyx_L1_error)\n  __Pyx_GOTREF(__pyx_t_1);\n  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;\n  __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_compile); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4, __pyx_L1_error)\n  __Pyx_GOTREF(__pyx_t_2);\n  if (PyDict_SetItem(__pyx_d, __pyx_n_s_compile_2, __pyx_t_2) < 0) __PYX_ERR(0, 4, __pyx_L1_error)\n  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;\n  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;\n
 05: from cpython.array cimport array
\n
 06:
\n
 07: @boundscheck(False)
\n
 08: @wraparound(False)
\n
+09: cpdef long long str2int(char *string):
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\n" }, { "path": "clib/string_transfer.pyx", "content": "from cython import boundscheck, wraparound\nfrom libc.stdlib cimport atoll, atof\nfrom datetime import datetime, date\nfrom re import compile as _compile\nfrom cpython.array cimport array\n\n@boundscheck(False)\n@wraparound(False)\ncpdef long long str2int(char *string):\n return atoll(string)\n\n@boundscheck(False)\n@wraparound(False)\ncpdef double str2float(char *string):\n return atof(string)\n\n@boundscheck(False)\n@wraparound(False)\ncpdef double str2pct(char *string):\n return atof(string[:-1]) / 100.0\n\ncdef array hash_true, hash_false\ncdef long long hash_val, hash_label\nhash_true = array('q', [hash(_) for _ in ['True', 'true', 'TRUE', 'YES', 'yes', 'Yes']])\nhash_false = array('q', [hash(_) for _ in ['False', 'false', 'FALSE', 'NO', 'no', 'No']])\n\n@boundscheck(False)\n@wraparound(False)\ncpdef bint str2bool(char *string):\n hash_val = hash(string)\n for hash_label in hash_true:\n if hash_val == hash_label:\n return True\n for hash_label in hash_false:\n if hash_val == hash_label:\n return False\n raise ValueError('cannot transfer \"%s\" into bool' % string)\n\ncdef int year, month, day\ndsep = u'-'.encode('utf-8')\n@boundscheck(False)\n@wraparound(False)\ncpdef object str2date(char *string):\n year, month, day = string.split(dsep)\n return date(atoll(year), atoll(month), atoll(day))\n\ncdef int hour, minu, sec\ntsep = u':'.encode('utf-8')\n@boundscheck(False)\n@wraparound(False)\ncpdef object str2datetime(char *string):\n date, time = string.split()\n year, month, day = date.split(dsep)\n hour, minu, sec = time.split(tsep)\n return datetime(atoll(year), atoll(month), atoll(day),\n atoll(hour), atoll(minu), atoll(sec))\n\nFLOAT_MASK = _compile('^[-+]?[0-9]\\d*\\.\\d*$|[-+]?\\.?[0-9]\\d*$'.encode('utf-8'))\nPERCENT_MASK = _compile(r'^[-+]?[0-9]\\d*\\.\\d*%$|[-+]?\\.?[0-9]\\d*%$'.encode('utf-8'))\nINT_MASK = _compile('^[-+]?[-0-9]\\d*$'.encode('utf-8'))\nDATE_MASK = _compile('^(?:(?!0000)[0-9]{4}([-/.]?)(?:(?:0?[1-9]|1[0-2])([-/.]?)(?:0?[1-9]|1[0-9]|2[0-8])|(?:0?[13-9]|1[0-2])([-/.]?)(?:29|30)|(?:0?[13578]|1[02])([-/.]?)31)|(?:[0-9]{2}(?:0[48]|[2468][048]|[13579][26])|(?:0[48]|[2468][048]|[13579][26])00)([-/.]?)0?2([-/.]?)29)$'.encode('utf-8'))\nBOOL_MASK = _compile('^(true)|(false)|(yes)|(no)|(\\u662f)|(\\u5426)|(on)|(off)$'.encode('utf-8'))\n\ncpdef analyze_str_type(char *string):\n if INT_MASK.match(string):\n return str2int \n\n elif FLOAT_MASK.match(string):\n return str2float\n\n elif PERCENT_MASK.match(string):\n return str2pct\n\n elif DATE_MASK.match(string):\n return str2date\n\n elif BOOL_MASK.match(string.lower()):\n return str2bool\n\n else:\n return string" }, { "path": "doc/Guide Book/Chinese/README.md", "content": "# DaPy - 享受数据挖掘之旅\n[简介](https://github.com/JacksonWuxs/DaPy/blob/master/Guide%20Book/README.md#introduction) \n   - [什么是DaPy？](https://github.com/JacksonWuxs/DaPy/tree/master/Guide%20Book#what-is-dapy) \n   - [为什么要使用DaPy？](https://github.com/JacksonWuxs/DaPy/tree/master/Guide%20Book#why-use-dapy) \n   - [如何使用DaPy？](https://github.com/JacksonWuxs/DaPy/tree/master/Guide%20Book#how-to-use-dapy) \n\n[特性](https://github.com/JacksonWuxs/DaPy/blob/master/Guide%20Book/Features%20Introduction.md)\n - [可视化管理各种数据](https://github.com/JacksonWuxs/DaPy/blob/master/Guide%20Book/Features%20Introduction.md#visibly-manage-diverse-data)\n - 快速完成“增删改查\"操作\n   - 轻松访问部分数据\n - 灵活的I/O工具\n - 易于使用内建模型算法 \n\n[快速入门](https://github.com/JacksonWuxs/DaPy/blob/master/doc/GuideBook.md#quick-start) \n   - 加载数据集 \n   - 预处理数据 \n - 模型建立与训练 \n - 预测未来 \n\n[数据结构]\n  - 介绍\n - DataSet 结构\n - sheet 结构\n - matrix 结构\n\n[集成算法]\n - 机器学习模型\n - 数学统计模型\n\n# 介绍\n#### 什么是DaPy？\nDaPy是一个由Python原生数据结构设计的高效且易于使用的数据挖掘库。\n它旨在成为一个基础和友好的数据处理工具。此外，我们还在 DaPy 中建立了统计和机器学习中的一些常用数据分析算法，以帮助您尽快验证您的想法。\n\n#### 为什么要使用DaPy？\n现在有不少可以有效地支持科学计算和数据分析。但是，这些类型的库对Python中的新手来说并不友好，因为他们不得不花费大量时间熟悉这些数据结构。\n\n例如，遍历数据集，大多数人会使用``for``语法作为他们的第一个想法。但是Pandas只会迭代列名，而不是记录。此外，当用户尝试选择一些有条件的记录时，Pandas首先需要设置`Bool`序列，这导致用户无法知道数据是如何操作的。\n\n毫无疑问，这些可敬的库在数据科学领域发挥着重要作用。但是，他们仍然需要使用一些互补品。与这些数据处理或计算库相比，DaPy专注于特定方面，快速开发。DaPy 希望通过流畅的用户操作提升开发效率。简而言之，DaPy适合刚开始新研究的用户。借助DaPy的帮助，科学家们可以流畅地实现他们的想法，而不受复杂语法的限制。\n\n使用DaPy的一种推荐方法是在新研究中对数据集进行预处理时使用它。在您的demo证明之后，您可以使用numpy或tensorflow数据结构来重写您的想法。但这并不意味着DaPy无法处理大数据。相反，他在某些方面也具有很强的运作效率。\n\n#### 如何使用DaPy？\n当您在程序中使用DaPy作为数据处理工具时，您只需要将其想象为Excel文件。在大多数情况下，从您的脑海中跳出的第一个想法是在处理数据时正确的语法。这是一个简单的例子来证明语法是否符合您的想法。\n\n首先，我们制作一个`Frame`结构如下。 Frame是DaPy中的一种`sheet`，另一种`sheet`结构是`SeriesSet`。\n```\n>>>将DaPy导入为dp\n>>> data = dp.Frame（[\n[1,2,3,4,5,6]，\n[1,3,5,7,9,11]，\n[2,4,6,8,10,12]]，\n   ['A_col'，'B_col'，'C_col'，'D_col'，'E_col'，'F_col']）\n>>>数据\n A_col | B_col | C_col | D_col | E_col | F_col\n------- ------- + ------- + ------- + ------- + ------- +\n   1 | 2 | 3 | 4 | 5 | 6\n   1 | 3 | 5 | 7 | 9 | 11\n   2 | 4 | 6 | 8 | 10 | 12\n```\n现在，我们的任务是挑选以下列：'B_col'，'C_col'，'D_col'和'F_col'。我们发现'B_col'，'C_col'和'D_col'连在一起。想想使用原生Python结构（例如list）中的`slice`，我们的操作如下：\n```\n>>>数据['B_col'：'D_col'，'F_col']\n B_col | C_col | D_col | F_col\n------- ------- + ------- + ------- +\n   2 | 3 | 4 | 6\n   3 | 5 | 7 | 11\n   4 | 6 | 8 | 12\n```\n" }, { "path": "doc/Guide Book/Chinese/快速开始.md", "content": "## 快速开始\n#### Ⅰ. 加载数据集\nDaPy自带了少量著名的数据集，比如用于分类问题的**红酒分类**和**鸢尾花**数据集。\n接下来，我们首先启动一个Python Shell并加载作为例子的红酒数据集：\n```Python\n>>> from DaPy import datasets\n>>> from DaPy import MachineLearn\n>>> wine, info = datasets.wine()\n```\n这个函数会返回一个内部由*DaPy.SeriesSet*结构包装的数据集，同时还会返回一个\n数据集的官方简介。\n\n一般来说，如果要加载一个外部的数据集，你可以通过如下的语法：\n```Python\n>>> data = dp.read(file_name)\n```\n本例中，作为一个监督学习问题，所有的自变量和因变量都被包含在了一个*SeriesSet*结构中。\n为此，我们可以通过如下的方式观察*红酒*数据集的信息。\n```Python\n>>> wine\n Alcohol: <14.23, 13.2, 13.16, 14.37, 13.24, ... ,13.71, 13.4, 13.27, 13.17, 14.13>\n Malic acid: <1.71, 1.78, 2.36, 1.95, 2.59, ... ,5.65, 3.91, 4.28, 2.59, 4.1>\n Ash: <2.43, 2.14, 2.67, 2.5, 2.87, ... ,2.45, 2.48, 2.26, 2.37, 2.74>\n Alcalinity of ash: <15.6, 11.2, 18.6, 16.8, 21.0, ... ,20.5, 23.0, 20.0, 20.0, 24.5>\n Magnesium: <127, 100, 101, 113, 118, ... ,95, 102, 120, 120, 96>\n Total phenols: <2.8, 2.65, 2.8, 3.85, 2.8, ... ,1.68, 1.8, 1.59, 1.65, 2.05>\n Flavanoids: <3.06, 2.76, 3.24, 3.49, 2.69, ... ,0.61, 0.75, 0.69, 0.68, 0.76>\nNonflavanoid phenols: <0.28, 0.26, 0.3, 0.24, 0.39, ... ,0.52, 0.43, 0.43, 0.53, 0.56>\n Proanthocyanins: <2.29, 1.28, 2.81, 2.18, 1.82, ... ,1.06, 1.41, 1.35, 1.46, 1.35>\n Color intensity: <5.64, 4.38, 5.68, 7.8, 4.32, ... ,7.7, 7.3, 10.2, 9.3, 9.2>\n Hue: <1.04, 1.05, 1.03, 0.86, 1.04, ... ,0.64, 0.7, 0.59, 0.6, 0.61>\n OD280: <3.92, 3.4, 3.17, 3.45, 2.93, ... ,1.74, 1.56, 1.56, 1.62, 1.6>\n Proline: <1065, 1050, 1185, 1480, 735, ... ,740, 750, 835, 840, 560>\n class_1: <1, 1, 1, 1, 1, ... ,0, 0, 0, 0, 0>\n class_2: <0, 0, 0, 0, 0, ... ,0, 0, 0, 0, 0>\n class_3: <0, 0, 0, 0, 0, ... ,1, 1, 1, 1, 1>\n```\n每一个*SeriesSet*对象都会自动地统计一些基本的数据集信息（缺失值、均值等）。例如，你可以通过如下的方式浏览数据集：\n```Python\n>>> wine.info\nsheet:data\n==========\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Ln=178 | Col=16\n3. Miss Value: 0 elements\n4. Describe: \n Title | Miss | Min | Max | Mean | Std |Dtype\n----------------------+------+-------+-------+--------+--------+-----\n Alcohol | 0 | 11.03 | 14.83 | 13.00 | 0.81 | list\n Malic acid | 0 | 0.74 | 5.8 | 2.34 | 1.12 | list\n Ash | 0 | 1.36 | 3.23 | 2.37 | 0.27 | list\n Alcalinity of ash | 0 | 10.6 | 30.0 | 19.49 | 3.34 | list\n Magnesium | 0 | 70 | 162 | 99.74 | 14.28 | list\n Total phenols | 0 | 0.98 | 3.88 | 2.30 | 0.63 | list\n Flavanoids | 0 | 0.34 | 5.08 | 2.03 | 1.00 | list\n Nonflavanoid phenols | 0 | 0.13 | 0.66 | 0.36 | 0.12 | list\n Proanthocyanins | 0 | 0.41 | 3.58 | 1.59 | 0.57 | list\n Color intensity | 0 | 1.28 | 13.0 | 5.06 | 2.32 | list\n Hue | 0 | 0.48 | 1.71 | 0.96 | 0.23 | list\n OD280 | 0 | 1.27 | 4.0 | 2.61 | 0.71 | list\n Proline | 0 | 278 | 1680 | 746.89 | 314.91 | list\n class_1 | 0 | 0 | 1 | 0.33 | 0.47 | list\n class_2 | 0 | 0 | 1 | 0.40 | 0.49 | list\n class_3 | 0 | 0 | 1 | 0.27 | 0.45 | list\n=====================================================================\n```\n#### Ⅱ. 预处理数据\n在我们开始一个机器学习对象之前，为了能让数据符合模型的要求，我们需要进行预处理操作。 \n\n在刚刚观察数据集时我们发现原始的数据集按照“类”变量被排序好了。为了我们能提供一个\n平衡样本的训练集，我们可以通过*shuffles()*函数打乱我们的数据集。另外，在我们浏览\n数据集时还发现，不同变量之间的量纲差异显著，因此我们认为进行标准化处理会更好：\n```Python\n>>> wine.shuffles()\n>>> wine.normalized()\n```\n在打乱数据集后，我们要将目标变量和特征变量分离：\n```Python\n>>> feature, target = wine[:'Proline'], wine['class_1':]\n```\n#### Ⅲ. 学习和预测\n在*红酒分类*数据集中，我们的任务是给定一个新的纪录，预测它属于哪一个类。我们为每一个可能的类\n都提供了相应的已有记录来训练分类器，以此分类器便能分辨出那些它未曾见过的样本了。 \n\n在DaPy中，一个常用的分类器是来自于DaPy.machine_learn包中实现的多层感知机模型：\n```Python\n>>> mlp = MachineLearn.MLP()\n>>> mlp.create(input_cell=13, output_cell=3)\n - Create structure: 13 - 7 - 3\n```\n因为模型叫做multilayer perceptron，因此我们将该分类器称为mlp。现在我们需要训练模型，\n也就是我们必须让他从数据集中学习。我们使用142条记录（总数的80%）来作为训练集。我们通过\n[:142]这种非常Pythonic的语法来提取我们的数据：\n```Python\n>>> mlp.train(feature[:142], target[:142])\n - Start Training...\n - Initial Error: 152.02 %\n Completed: 10.00 \tRemain Time: 3.38 s\tError: 12.22%\n Completed: 20.00 \tRemain Time: 2.34 s\tError: 8.61%\n Completed: 29.99 \tRemain Time: 1.77 s\tError: 6.88%\n Completed: 39.99 \tRemain Time: 1.27 s\tError: 5.82%\n Completed: 49.99 \tRemain Time: 1.05 s\tError: 5.10%\n Completed: 59.99 \tRemain Time: 0.84 s\tError: 4.56%\n Completed: 69.99 \tRemain Time: 0.62 s\tError: 4.15%\n Completed: 79.98 \tRemain Time: 0.41 s\tError: 3.82%\n Completed: 89.98 \tRemain Time: 0.19 s\tError: 3.55%\n Completed: 99.98 \tRemain Time: 0.00 s\tError: 3.33%\n - Total Spent: 2.0 s\tError: 3.3268 %\n```\n ![Page Not Found](https://github.com/JacksonWuxs/DaPy/blob/master/doc/material/QuickStartResult.png 'Result of Training') \n\n现在，*mlp*已经训练好了。值得注意的是，最后一行中的*Errors*并不意味着分类的正确率，\n而是它与目标向量的绝对误差。 \n\n让我们用我们的模型去分类那些红酒数据集中剩余的它不曾接触过的数据：\n```Python\n>>> mlp.test(feature[142:], target[142:])\n'Classification Correct: 94.4444%'\n```\n正如你们所见到的，我们的模型具备了一定的分类能力。\n#### Ⅳ. 后记\n为了能在下一次任务中快速地调用训练好的模型，DaPy中支持了模型的保存方法：\n```Python\n>>> mlp.topkl('First_mlp.pkl')\n```\n在一次正式的工作中，你可以通过如下方式快速地使用训练好的模型预测新的案例：\n```Python\n>>> mlp = MachineLearn.MLP()\n>>> mlp.readpkl('First_mlp.pkl')\n>>> mlp.predict(My_new_data)\n```\n" }, { "path": "doc/Guide Book/English/Features.md", "content": "## Features\n**Convinience** and **efficiency** are the cornerstone of DaPy. \nSince the very beginning, we have designed DaPy to Python's \nnative data structures as much as possible and we struggle to make \nit supports more Python syntax habits. Therefore you can \nadapt to DaPy quickly, if you imagine you are opearting an 2-dimentions table.\nIn addition, we do our best to simplify\nthe formulas or mathematical models in it, in order to let you \nimplement your ideas fluently. \n\n#### Visually manage diverse data\nEvery data scientist should have at least one experience in handling the needed datas \nwith multiple sources. It is inconvenient to manage or access datas with amount of \nvariables names. In this section, we will simply introduce a data container, which \nrepresented the ideology of designing DaPy, called *DataSet*.\n\nBoth data scientist and a young kid in primary school are skillful in \nMS Office Excel software. In this software, every data should be contained in a \n*sheet* structures. We draw on ideas from Excel and proposed a data managing structure \nthat is *DataSet*. \n\nHere is a example how does DaPy work basically to manage diverse dataset. We have prepared a [students.xlsx](http://www.wuxsweb.cn/Library/DaPy$Examples_data/students.xlsx) file as a example, which has 3 sheets insides, named \"Info\", \"Course\", and \"Scholarship\". Now, we will use DaPy to read this file into a DataSet object and access the data.\n```Python2\n>>> import DaPy as dp\n>>> data = dp.read('students.xlsx')\n>>> data.show()\nsheet:Info\n==========\n ID | Name | Gender | Age \n--------+---------+--------+------\n 1801.0 | Olivia | F | 14.0 \n 1802.0 | James | M | 14.0 \n 1803.0 | Charles | M | 15.0 \n 1804.0 | Emma | F | 16.0 \n 1805.0 | Mary | F | 13.0 \n 1806.0 | Kevin | M | 14.0 \n 1807.0 | Jeanne | F | 15.0 \n\nsheet:Course\n============\n ID | Course | Score\n--------+------------+-------\n 1801.0 | Chemistry | 90.0 \n 1802.0 | Biology | 87.0 \n 1803.0 | Biology | 88.0 \n 1804.0 | Geology | 85.0 \n 1805.0 | psychology | 92.0 \n 1806.0 | Chemistry | 93.0 \n 1807.0 | Geology | 87.0 \n\nsheet:Scholarship\n=================\n ID | Scholarship\n--------+-------------\n 1801.0 | Third \n 1805.0 | Second \n 1806.0 | First \n```\nAnd now, we have a new sheet named \"tuition\" that needs to be added into data and save it as \"new_students.xlsx\". One of the sheet structure in DaPy is *Frame*. You can initialize a new Frame object with records and column names. \n ```Python3\n>>> tuition = dp.Frame(\n\t[[1801, 3000],\n\t [1802, 3500],\n\t [1803, 3000],\n\t [1804, 2500],\n\t [1805, 2500],\n\t [1806, 2500],\n\t [1807, 3000]],\n\t['ID', 'Tuition'])\n>>> data.add(tuition, 'Tuition')\n>>> data.save(\"new_students.xlsx\")\n ```\n#### Easily insert and delete a large number of data \nAs far as we are concerned, DaPy is a kind of data manage system, therefore, we learned from the thinking as 'CRUE'(Create, Retrieve, Update and Delete). We followed some of the 'list()' structure supported functions and extended them appropriately to fit the two-dimensional data structure. In this section, we would briefly review all these functions.\n\n```DaPy.DataSet.add()``` is the hightest level data function, which is used to add a new 2-dimentional data structure into DataSet structure. With this function, DataSet can support multiple sheets inside. Following example shows how to add a new sheet.\n```Python2\n>>> data = dp.DataSet(obj=[[1, 1, 1], [1, 1, 1]], sheet='sheet-1')\n>>> data.add(item=[[2, 2, 2], [2, 2, 2]], sheet='sheet-2')\n>>> data.toframe()\n>>> data\nsheet:sheet-1\n=============\n C_0 | C_1 | C_2\n-----+-----+-----\n 1 | 1 | 1 \n 1 | 1 | 1 \n \nsheet:sheet-2\n=============\n C_0 | C_1 | C_2\n-----+-----+-----\n 2 | 2 | 2 \n 2 | 2 | 2 \n```\n\nFirst of all, we are going to introduce two pairs of functions to you. \n\nOne of the pairs of functions are ```append()``` and ```append_col()```, and which are obviously to see the meanings. ```append()``` can help you append a new record at the tail of each sheet and ```append_col()``` can support you to append a new variable at the tail of each sheet in DataSet.\n```Python2\n>>> from DaPy import datasets\n>>> example = datasets.example()\n>>> example.append([None, None, None, None])\n>>> example.append_col(series=range(example.shape[0].Ln), \n\t\t variable_name='New_col')\n>>> example.show()\nsheet:sample\n============\n A_col | B_col | C_col | D_col | New_col\n-------+-------+-------+-------+---------\n 3 | 2 | 1 | 4 | 0 \n 4 | 3 | 2 | 2 | 1 \n 1 | 3 | 4 | 2 | 2 \n 3 | 3 | 1 | 2 | 3 \n 4 | 5 | 4 | 3 | 4 \n 2 | 1 | 1 | 5 | 5 \n 6 | 4 | 3 | 2 | 6 \n 4 | 7 | 8 | 3 | 7 \n 1 | 9 | 8 | 3 | 8 \n 3 | 2 | 6 | 5 | 9 \n 2 | 9 | 1 | 5 | 10 \n 3 | 4 | 1 | 6 | 11 \n None | None | None | None | 12 \n```\nOn the other hand, ```extend()``` and ```extend_col()``` were designed to add amount of records or amount of variables at the tail of each sheets in dataset. We added 2 new records at the same time, and especially the second record had miss values. After that, we used ```extend_col()``` function to extend the exist dataset.\n```Python2\n>>> example.extend([ \n\t['A', 'A', 'A', 'A', 'A'],\n\t['C', 'C', 'C']])\n>>> example.show(3)\nsheet:sample\n============\n A_col | B_col | C_col | D_col | New_col\n-------+-------+-------+-------+---------\n 3 | 2 | 1 | 4 | 0 \n 4 | 3 | 2 | 2 | 1 \n 1 | 3 | 4 | 2 | 2 \n .. Omit 9 Ln .. \n None | None | None | None | 12 \n A | A | A | A | A \n C | C | C | None | None \n>>> \n>>> example2 = datasets.example()\n>>> example.extend_col(other=example2)\n>>> example.show(4)\nsheet:sample\n============\n A_col | B_col | C_col | D_col | New_col | A_col_1 | B_col_1 | C_col_1 | D_col_1\n-------+-------+-------+-------+---------+---------+---------+---------+---------\n 3 | 2 | 1 | 4 | 0 | 3 | 2 | 1 | 4 \n 4 | 3 | 2 | 2 | 1 | 4 | 3 | 2 | 2 \n 1 | 3 | 4 | 2 | 2 | 1 | 3 | 4 | 2 \n 3 | 3 | 1 | 2 | 3 | 3 | 3 | 1 | 2 \n .. Omit 7 Ln .. \n 3 | 4 | 1 | 6 | 11 | 3 | 4 | 1 | 6 \n None | None | None | None | 12 | None | None | None | None \n A | A | A | A | A | None | None | None | None \n C | C | C | None | None | None | None | None | None \n```\n Next, let me introduce some functions for dropping the data. The normalist way is to use keyword ```del``` in Python. \n ```Python3\n >>> del example['A_col', 'B_col', 'A_col_1', 'B_col_1', 'C_col_1']\n >>> example\nsheet:sample\n============\n C_col: <1, 2, 4, 1, 4, ... ,1, 1, None, A, C>\n D_col: <4, 2, 2, 2, 3, ... ,5, 6, None, A, None>\nNew_col: <0, 1, 2, 3, 4, ... ,10, 11, 12, A, None>\nD_col_1: <4, 2, 2, 2, 3, ... ,5, 6, None, None, None>\n>>> example[5] # the 6th record in the dataset\n[1, 5, 5, 5]\n>>> del example[3, 4]\n>>> example[5]\n[8, 3, 7, 3]\n>>>\n ```\nAnyway, we have some other functions so that you not only can delete the data, but also catch the data. The system will return the data into a new dataset object.\n```python3\n>>> example.add(example.pop_col('C_col', 'D_col'))\n>>> example\nsheet:sample\n============\nNew_col: <0, 1, 2, 4, 6, ... ,10, 11, 12, A, None>\nD_col_1: <4, 2, 2, 3, 2, ... ,5, 6, None, None, None>\n\nsheet:sample_1\n==============\nC_col: <4, 2, 2, 3, 2, ... ,5, 6, None, A, None>\nD_col: <1, 2, 4, 4, 3, ... ,1, 1, None, A, C>\n```\n" }, { "path": "doc/Guide Book/English/Introduction.md", "content": "## Introduction\n#### What is DaPy?\nDaPy is a Python package providing efficiency and readily usable data structures designed by Python origin data strucutres. \nIt aims to be a fundamental and friendly tools for real-world data processing in Python. Additionally, we also built some common data analysis algorithms, both in statistics and machine learning, in the library, in order to help you testify your idea as soon as posible. \n\n#### Why use DaPy? \nA large number of eminent libraries are now available to efficiently support scientific computing and data analysis. However, these kind of libraries are not friendly to a freshman in Python, because they have to spend a lot of time getting familiar with these data structures. \n\nTraversing the data set for example, most people would use ``for`` syntax as their first idea. But Pandas would iterate the column names only, not the records. Moreover, when users try to select some of the records with conditions, Pandas needs a `Bool` set at first. It is not visible for user to know how the data opearted. \n\nThere is no doubt that these deferential libraries play major roles in the data science filed. However, they would need some complementary products at the same time. In contrast with these data processing or computing libraries, DaPy focus on a specific aspect, which is defined as rapid development. In a simple word, DaPy is suitable for the users who are in the begining of a new research. With the DaPy help, scientists can fluently implements their ideas without limitation of complex syntax. \n\nA recommend way to use DaPy is that using it while you do some pre-process of your data set in a new research. After you testify your demo, you can use numpy or tensorflow data structures to rewrite your idea. But it doesn't means that DaPy is not up to the processing of big data. On the contrary, he also has strong operational efficiency in some aspects.\n\n\n#### Who use DaPy?\nDaPy is a powerful and flexible data processing tools, therefore it suitable most of users who have the demand in data mining. DaPy can help an expert develop and testify their own method quickly, can help reserachers handle their data conviniencetly, and help a novice complete a heavy data task in a short time. By the way, in Shanghai University of International Business and Economics, DaPy has been widely used in some programs.\n\n\n#### How to use DaPy?\nWhile you using DaPy as a data processing tool in your programe, you just need to imagine it as a Excel file. And in the most of time, the first idea which jumped out from your mind is the correct syntax while you processing the data. Here is a simple example to testify if the syntax matches your idea. \n\nFirst of all, we make a `Frame` structure as follow. Frame is a kind of `sheet` in DaPy, the another `sheet` structure is `SeriesSet`.\n```\n>>> import DaPy as dp\n>>> data = dp.Frame([\n\t[1, 2, 3, 4, 5, 6],\n\t[1, 3, 5, 7, 9, 11],\n\t[2, 4, 6, 8, 10, 12]], \n \t['A_col', 'B_col', 'C_col', 'D_col', 'E_col', 'F_col'])\n>>> data\n A_col | B_col | C_col | D_col | E_col | F_col\n-------+-------+-------+-------+-------+-------\n 1 | 2 | 3 | 4 | 5 | 6 \n 1 | 3 | 5 | 7 | 9 | 11 \n 2 | 4 | 6 | 8 | 10 | 12 \n```\nNow, our task is picking out following columns: 'B_col', 'C_col', 'D_col', and 'F_col'. We find that 'B_col', 'C_col' and 'D_col' are connected together. Think about the `slice` using in native Python structures such as list. Here is what we do.\n```\n>>> data['B_col': 'D_col', 'F_col']\n B_col | C_col | D_col | F_col\n-------+-------+-------+-------\n 2 | 3 | 4 | 6 \n 3 | 5 | 7 | 11 \n 4 | 6 | 8 | 12 \n ```\n\n\n\n\n" }, { "path": "doc/Guide Book/English/Performance Test for DaPy.md", "content": "### Performance Test for DaPy\n\n#### Date: 2019-10-19\n\n#### Version: 1.10.1\n\n#### Data\n\n* Information\n\n We use the data which collected the price of gold from China Future Market. It had 4.32 million rows and 7 columns.\n\n* Download\n\n You can download the data from here.\n\n#### Standards\n\n- \n\n- Task 1: load\n\n Libraries have to load the original data from a CSV format file. In this CSV file, it has different columns with different data types. The libraries must have the ability to automatically predict the best matched data type then transfer the values. We recorded the time consumption of each library spent on the task. The commands we used are listed as bellow.\n\n ```python\n >>> pandas.readcsv(addr) \n >>> numpy.genfromtxt(addr, dtype=None, delimiter=',', encoding=None, names=True)\n >>> DaPy.read(addr)\n ```\n\n- Task 2: Traverse\n\n Libraries have to traverse each row of the data loaded in Task1. We recorded the time consumption of each library spent on the task. The commands we used are listed as bellow.\n\n ```python\n >>> for row in pd_DataFrame.itertuples():\n \t\tpass\n >>> for row in np_Ndarray:\n \t\tpass\n >>> for row in dp_SeriesSet.iter_rows():\n \t\tpass\n ```\n\n- Task 3: Sort\n\n Libraries have to sort the records from the data loaded in Task 1 by one column named \"Price\". We recorded the time consumption of each library spend on the task. The commands we used in this task are listed as bellow.\n\n ```Python\n >>> pd_DataFrame.sort_values(by='Price')\n >>> np_Ndarray.sort(axis=0, order='Price')\n >>> dp_SeriesSet.sort('Price')\n ```\n\n- Task 4: Query\n\n Libraries have to select the records that the keyword \"Price\" is greater than 99999. We recorded the time consumption of each library spent on the task. The commands we used are listed as bellow.\n\n ```python\n >>> pd_DataFrame.query('Price >= 99999')\n >>> numpy.extract(tuple(_['Price'] > 99999 for _ in np_Ndarray), np_Ndarray)\n >>> dp_SeriesSet.query('Price >= 99999', limit=None)\n ```\n\n- Task 5: Groupby\n\n Libraries have to separate the records into groups according to the keyword of \"Date\", than calculate the mean of each column for each subset. Because `numpy.ndarray` doesn't support the `groupby` operation, Numpy skips this task. We recorded the time consumption of each library spent on the task. The commands we used are listed as bellow. \n\n ```python\n >>> pd_DataFrame.groupby('Date')[['Price', 'Volume', 'Token', 'LastToken', 'LastMaxVolume']].mean()\n >>> dp_SeriesSet.groupby('Date', np.mean, apply_col=['Price', 'Volume', 'Token', 'LastToken', 'LastMaxVolume'])\n ```\n\n- Task 6: Save\n\n Libraries have to save their data into a CSV format file. We recorded the time consumption of each library spent on the task. The commands we used are listed as bellow. \n\n ```python\n >>> pd_DataFrame.to_csv('test_Pandas.csv', index=0)\n >>> np.savetxt('test_numpy.csv', np_Ndarray, delimiter=',', fmt='%s%s%s%s%s%s%s')\n >>> dp_SeriesSet.save('test_Numpy.csv')\n ```\n\n " }, { "path": "doc/Guide Book/English/Quick Start.md", "content": "## Quick Start\n#### Ⅰ. Loading a dataset\nDaPy comes with a few famous datasets, for examples the **iris** \nand **wine** datasets for classification. \n\nIn the following, we will start a Python shell and then \nload the wine datasets as an example: \n```Python\n>>> from DaPy.methods.classifiers import MLPClassifier\n>>> from DaPy import datasets\n>>> wine, info = datasets.wine()\n```\nThis function will return a *DaPy.SeriesSet* structure that holds \nall the data while a description of data will be returned at the \nsame time. \n\nIn general, to load from an external dataset, you can use these \nstatements, please refer to GuideBook for more details:\n```Python\n>>> data = dp.read(file_name)\n```\nIn this case, as a supervised problem, all of the \nindependent variables and dependent variables are stored in the \n*SeriesSet* menber. For instance, the data of the *wine* could be accessed using:\n```Python\n>>> wine\n Alcohol: <14.23, 13.2, 13.16, 14.37, 13.24, ... ,13.71, 13.4, 13.27, 13.17, 14.13>\n Malic acid: <1.71, 1.78, 2.36, 1.95, 2.59, ... ,5.65, 3.91, 4.28, 2.59, 4.1>\n Ash: <2.43, 2.14, 2.67, 2.5, 2.87, ... ,2.45, 2.48, 2.26, 2.37, 2.74>\n Alcalinity of ash: <15.6, 11.2, 18.6, 16.8, 21.0, ... ,20.5, 23.0, 20.0, 20.0, 24.5>\n Magnesium: <127, 100, 101, 113, 118, ... ,95, 102, 120, 120, 96>\n Total phenols: <2.8, 2.65, 2.8, 3.85, 2.8, ... ,1.68, 1.8, 1.59, 1.65, 2.05>\n Flavanoids: <3.06, 2.76, 3.24, 3.49, 2.69, ... ,0.61, 0.75, 0.69, 0.68, 0.76>\nNonflavanoid phenols: <0.28, 0.26, 0.3, 0.24, 0.39, ... ,0.52, 0.43, 0.43, 0.53, 0.56>\n Proanthocyanins: <2.29, 1.28, 2.81, 2.18, 1.82, ... ,1.06, 1.41, 1.35, 1.46, 1.35>\n Color intensity: <5.64, 4.38, 5.68, 7.8, 4.32, ... ,7.7, 7.3, 10.2, 9.3, 9.2>\n Hue: <1.04, 1.05, 1.03, 0.86, 1.04, ... ,0.64, 0.7, 0.59, 0.6, 0.61>\n OD280: <3.92, 3.4, 3.17, 3.45, 2.93, ... ,1.74, 1.56, 1.56, 1.62, 1.6>\n Proline: <1065, 1050, 1185, 1480, 735, ... ,740, 750, 835, 840, 560>\n class_1: <1, 1, 1, 1, 1, ... ,0, 0, 0, 0, 0>\n class_2: <0, 0, 0, 0, 0, ... ,0, 0, 0, 0, 0>\n class_3: <0, 0, 0, 0, 0, ... ,1, 1, 1, 1, 1>\n```\nEvery object of *SeriesSet* will auto concluses some basic information of the \ndataset (number of miss value, number of records & variable names). For exaples, \nyou can browse the dataset of *wine* as:\n```\n>>> wine.info\nsheet:data\n==========\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Ln=178 | Col=16\n3. Miss Value: 0 elements\n4. Describe: \n Title | Miss | Min | Max | Mean | Std |Dtype\n----------------------+------+-----+-----+------+------+-----\n Alcohol | 0 | 0.0 | 1.0 | 0.52 | 0.21 | list\n Malic acid | 0 | 0.0 | 1.0 | 0.32 | 0.22 | list\n Ash | 0 | 0.0 | 1.0 | 0.54 | 0.15 | list\n Alcalinity of ash | 0 | 0.0 | 1.0 | 0.46 | 0.17 | list\n Magnesium | 0 | 0 | 1 | 0.01 | 0.07 | list\n Total phenols | 0 | 0.0 | 1.0 | 0.45 | 0.22 | list\n Flavanoids | 0 | 0.0 | 1.0 | 0.36 | 0.21 | list\n Nonflavanoid phenols | 0 | 0.0 | 1.0 | 0.44 | 0.23 | list\n Proanthocyanins | 0 | 0.0 | 1.0 | 0.37 | 0.18 | list\n Color intensity | 0 | 0.0 | 1.0 | 0.32 | 0.20 | list\n Hue | 0 | 0.0 | 1.0 | 0.39 | 0.19 | list\n OD280 | 0 | 0.0 | 1.0 | 0.49 | 0.26 | list\n Proline | 0 | 0 | 1 | 0.01 | 0.07 | list\n class_1 | 0 | 0 | 1 | 0.33 | 0.47 | list\n class_2 | 0 | 0 | 1 | 0.40 | 0.49 | list\n class_3 | 0 | 0 | 1 | 0.27 | 0.45 | list\n=============================================================\n```\n#### Ⅱ. Preprocessing data\nBefore we start a machine learning subject, we should process our \ndata so that the data can meet the requirements of the models. \n\nBy just accessed our data we found that our dataset is arrangement \nby class. For supporting a balance proportion of the training data, we can \nmass our data with *shuffles()*. In addition, for the reason that \nthe dimensional difference between variables is significant, which \nwe found in scanning data, we suppose to normalize the data:\n```Python\n>>> wine.shuffles()\n>>> wine.normalized()\n```\nAfter disrupting the data, we should separte our data according to the \ntarget variables and feature variables: \n```Python\n>>> feature, target = wine[:'Proline'], wine['class_1':] # contains the target\n```\n#### Ⅲ. Methods\nIn the case of the wine dataset, the task is to predict, given a new record, \nwhich class it represents. We are given samples of each of the 3 possible classes on \nwhich we fit an estimator to be able to predict the classes to which unseen samples belong. \n\nIn DaPy, an simple estimator is in the DaPy.machine_learn that \nimplements *mutilayer perceptrons*: \n```Python\n>>> mlp = MLPClassifier()\n>>> mlp.create(input_cell=13, output_cell=3)\n - Create structure: 13 - 12 - 3\n```\nWe call our estimator instance mlp, as it is a multilayer perceptrons. \nIt now must be trained to the model, that is, it must learn from the \nknown dataset. As a training set, let us use 142 records from our \ndataset apart in 80% of total. We select this training set with the\n[:142] Python syntax, which produces a new SeriesSet that contains \n80% records of total: \n```Python\n>>> mlp.train(feature[:142], target[:142], 5000)\n - Start Training...\n - Initial Error: 150.55 %\n Completed: 10.00 \tRemain Time: 1.32 s\tError: 11.82%\n Completed: 20.00 \tRemain Time: 1.37 s\tError: 8.37%\n Completed: 29.99 \tRemain Time: 1.26 s\tError: 6.64%\n Completed: 39.99 \tRemain Time: 1.11 s\tError: 5.59%\n Completed: 49.99 \tRemain Time: 0.94 s\tError: 4.88%\n Completed: 59.99 \tRemain Time: 0.72 s\tError: 4.36%\n Completed: 69.99 \tRemain Time: 0.54 s\tError: 3.96%\n Completed: 79.98 \tRemain Time: 0.36 s\tError: 3.65%\n Completed: 89.98 \tRemain Time: 0.18 s\tError: 3.39%\n Completed: 99.98 \tRemain Time: 0.00 s\tError: 3.18%\n - Total Spent: 2.0 s\tError: 3.1763 %\n>>> mlp.plot_error()\n```\n ![Page Not Found](https://github.com/JacksonWuxs/DaPy/blob/master/doc/material/QuickStartResult.png 'Result of Training') \n\nNow, *mlp* has been trained. It should be attention that the *Error* \nin last line does not means the correct proportion of classfication, \ninstead that it means the absolutely error of the target vector. \n\nLet us use our model to classifier the left records in wine dataset, \nwhich we have not used to train the estimator:\n```Python\n>>> Performance(mlp, feature[142:], target[142:], mode='clf')\n'Classification Correct: 97.2222%'\n```\nAs you can see, our model has a satisfactory ability in classification. \n\n#### Ⅳ. Postscript\nIn order to save time in the next task by using a ready-made model, \nit is possible to save our model in a file with pickle model. There are two ways could be used with the same result.\n```Python\n>>> mlp.save('First_mlp.pkl') # way 1\n>>> \n>>> import pickle # Way 2\n>>> pickle.dump(mlp, open('First_mlp.pkl', 'wb'))\n```\nIn a real working environment, you can quickly use your trained \nmodel to predict a new record with two ways:\n```Python\n>>> import pickle\n>>> mlp = pickle.load(open('First_mlp.pkl', 'rb'))\n```\n" }, { "path": "doc/Guide Book/README.md", "content": "# DaPy - Enjoy the Tour in Data Mining \n[Introduction](https://github.com/JacksonWuxs/DaPy/blob/master/Guide%20Book/English/Introduction.md#introduction)\n - [What is DaPy?](https://github.com/JacksonWuxs/DaPy/blob/master/Guide%20Book/English/Introduction.md#what-is-dapy)\n - [Why use DaPy?](https://github.com/JacksonWuxs/DaPy/blob/master/Guide%20Book/English/Introduction.md#why-use-dapy)\n - [Who use DaPy?](https://github.com/JacksonWuxs/DaPy/blob/master/Guide%20Book/English/Introduction.md#who-use-dapy)\n\n[Features](https://github.com/JacksonWuxs/DaPy/blob/master/Guide%20Book/English/Features.md)\n - [Visibly manage diverse data](https://github.com/JacksonWuxs/DaPy/blob/master/Guide%20Book/English/Features.md#visually-manage-diverse-data)\n - [Quickly add or remove the data](https://github.com/JacksonWuxs/DaPy/blob/master/Guide%20Book/English/Features.md#Easily-insert-and-delete-a-large-number-of-data)\n - Readily access a part of data\n - Flexible I/O tools\n - Built in functional methods\n\n[Quick Start](https://github.com/JacksonWuxs/DaPy/blob/master/Guide%20Book/English/Quick%20Start.md#quick-start)\n\n - [load a dataset](https://github.com/JacksonWuxs/DaPy/blob/master/doc/Quick%20Start/English.md#Ⅰ-loading-a-dataset)\n - [pre-process data](https://github.com/JacksonWuxs/DaPy/blob/master/doc/Quick%20Start/English.md#Ⅱ-preprocessing-data)\n - [Build up your model](https://github.com/JacksonWuxs/DaPy/blob/master/doc/Quick%20Start/English.md#Ⅲ-methods)\n - [Show the result](https://github.com/JacksonWuxs/DaPy/blob/master/doc/Quick%20Start/English.md#Ⅳ-postscript) \n - [Postscript](https://github.com/JacksonWuxs/DaPy/blob/master/doc/Quick%20Start/English.md#Ⅳ-postscript)\n\n[Data Structures]\n - Introduction\n - DataSet\n - Sheets\n - Matrix \n\n[Inside Methods]\n - Machine Learn\n - Stats\n\n" }, { "path": "doc/Quick Start/Chinese.md", "content": "## 快速开始\n#### Ⅰ. 加载数据集\nDaPy自带了少量著名的数据集，比如用于分类问题的**红酒分类**和**鸢尾花**数据集。\n接下来，我们首先启动一个Python Shell并加载作为例子的红酒数据集：\n```Python\n>>> from DaPy import datasets\n>>> from DaPy import MachineLearn\n>>> wine, info = datasets.wine()\n```\n这个函数会返回一个内部由*DaPy.SeriesSet*结构包装的数据集，同时还会返回一个\n数据集的官方简介。\n\n一般来说，如果要加载一个外部的数据集，你可以通过如下的语法：\n```Python\n>>> data = dp.read(file_name)\n```\n本例中，作为一个监督学习问题，所有的自变量和因变量都被包含在了一个*SeriesSet*结构中。\n为此，我们可以通过如下的方式观察*红酒*数据集的信息。\n```Python\n>>> wine\n Alcohol: <14.23, 13.2, 13.16, 14.37, 13.24, ... ,13.71, 13.4, 13.27, 13.17, 14.13>\n Malic acid: <1.71, 1.78, 2.36, 1.95, 2.59, ... ,5.65, 3.91, 4.28, 2.59, 4.1>\n Ash: <2.43, 2.14, 2.67, 2.5, 2.87, ... ,2.45, 2.48, 2.26, 2.37, 2.74>\n Alcalinity of ash: <15.6, 11.2, 18.6, 16.8, 21.0, ... ,20.5, 23.0, 20.0, 20.0, 24.5>\n Magnesium: <127, 100, 101, 113, 118, ... ,95, 102, 120, 120, 96>\n Total phenols: <2.8, 2.65, 2.8, 3.85, 2.8, ... ,1.68, 1.8, 1.59, 1.65, 2.05>\n Flavanoids: <3.06, 2.76, 3.24, 3.49, 2.69, ... ,0.61, 0.75, 0.69, 0.68, 0.76>\nNonflavanoid phenols: <0.28, 0.26, 0.3, 0.24, 0.39, ... ,0.52, 0.43, 0.43, 0.53, 0.56>\n Proanthocyanins: <2.29, 1.28, 2.81, 2.18, 1.82, ... ,1.06, 1.41, 1.35, 1.46, 1.35>\n Color intensity: <5.64, 4.38, 5.68, 7.8, 4.32, ... ,7.7, 7.3, 10.2, 9.3, 9.2>\n Hue: <1.04, 1.05, 1.03, 0.86, 1.04, ... ,0.64, 0.7, 0.59, 0.6, 0.61>\n OD280: <3.92, 3.4, 3.17, 3.45, 2.93, ... ,1.74, 1.56, 1.56, 1.62, 1.6>\n Proline: <1065, 1050, 1185, 1480, 735, ... ,740, 750, 835, 840, 560>\n class_1: <1, 1, 1, 1, 1, ... ,0, 0, 0, 0, 0>\n class_2: <0, 0, 0, 0, 0, ... ,0, 0, 0, 0, 0>\n class_3: <0, 0, 0, 0, 0, ... ,1, 1, 1, 1, 1>\n```\n每一个*SeriesSet*对象都会自动地统计一些基本的数据集信息（缺失值、均值等）。例如，你可以通过如下的方式浏览数据集：\n```Python\n>>> wine.info\nsheet:data\n==========\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Ln=178 | Col=16\n3. Miss Value: 0 elements\n4. Describe: \n Title | Miss | Min | Max | Mean |Stdev \n----------------------+------+-------+-------+--------+------\n Alcohol | 0 | 11.03 | 14.83 | 13.00 | 0.81 \n Malic acid | 0 | 0.74 | 5.8 | 2.34 | 1.11 \n Ash | 0 | 1.36 | 3.23 | 2.37 | 0.27 \n Alcalinity of ash | 0 | 10.6 | 30.0 | 19.49 | 3.33 \n Magnesium | 0 | 70 | 162 | 99.74 |14.24 \n Total phenols | 0 | 0.98 | 3.88 | 2.30 | 0.62 \n Flavanoids | 0 | 0.34 | 5.08 | 2.03 | 1.00 \n Nonflavanoid phenols | 0 | 0.13 | 0.66 | 0.36 | 0.12 \n Proanthocyanins | 0 | 0.41 | 3.58 | 1.59 | 0.57 \n Color intensity | 0 | 1.28 | 13.0 | 5.06 | 2.31 \n Hue | 0 | 0.48 | 1.71 | 0.96 | 0.23 \n OD280 | 0 | 1.27 | 4.0 | 2.61 | 0.71 \n Proline | 0 | 278 | 1680 | 746.89 |314.02\n class_1 | 0 | 0 | 1 | 0.33 | 0.47 \n class_2 | 0 | 0 | 1 | 0.40 | 0.49 \n class_3 | 0 | 0 | 1 | 0.27 | 0.44 \n==============================================================\n```\n#### Ⅱ. 预处理数据\n在我们开始一个机器学习对象之前，为了能让数据符合模型的要求，我们需要进行预处理操作。 \n\n在刚刚观察数据集时我们发现原始的数据集按照“类”变量被排序好了。为了我们能提供一个\n平衡样本的训练集，我们可以通过*shuffles()*函数打乱我们的数据集。另外，在我们浏览\n数据集时还发现，不同变量之间的量纲差异显著，因此我们认为进行标准化处理会更好：\n```Python\n>>> wine.shuffle()\n>>> wine.normalized()\n```\n在打乱数据集后，我们要将目标变量和特征变量分离：\n```Python\n>>> target = wine.pop_col('class_1', 'class_2', 'class_3')\n```\n#### Ⅲ. 学习和预测\n在*红酒分类*数据集中，我们的任务是给定一个新的纪录，预测它属于哪一个类。我们为每一个可能的类\n都提供了相应的已有记录来训练分类器，以此分类器便能分辨出那些它未曾见过的样本了。 \n\n在DaPy中，一个常用的分类器是来自于DaPy.multilayer_perseptron类中实现的多层感知机模型：\n```Python\n>>> mlp = MachineLearn.MLP()\n>>> mlp.create(input_cell=13, output_cell=3)\n - Create structure: 13 - 7 - 3\n```\n因为模型叫做multilayer perceptron，因此我们将该分类器称为mlp。现在我们需要训练模型，\n也就是我们必须让他从数据集中学习。我们使用142条记录（总数的80%）来作为训练集。我们通过\n[:142]这种非常Pythonic的语法来提取我们的数据：\n```Python\n>>> mlp.train(feature[:142], target[:142])\n - Start Training...\n - Initial Error: 152.02 %\n Completed: 10.00 \tRemain Time: 3.38 s\tError: 12.22%\n Completed: 20.00 \tRemain Time: 2.34 s\tError: 8.61%\n Completed: 29.99 \tRemain Time: 1.77 s\tError: 6.88%\n Completed: 39.99 \tRemain Time: 1.27 s\tError: 5.82%\n Completed: 49.99 \tRemain Time: 1.05 s\tError: 5.10%\n Completed: 59.99 \tRemain Time: 0.84 s\tError: 4.56%\n Completed: 69.99 \tRemain Time: 0.62 s\tError: 4.15%\n Completed: 79.98 \tRemain Time: 0.41 s\tError: 3.82%\n Completed: 89.98 \tRemain Time: 0.19 s\tError: 3.55%\n Completed: 99.98 \tRemain Time: 0.00 s\tError: 3.33%\n - Total Spent: 2.0 s\tError: 3.3268 %\n```\n ![Page Not Found](https://github.com/JacksonWuxs/DaPy/blob/master/doc/Quick%20Start/result.png 'Result of Training') \n\n现在，*mlp*已经训练好了。值得注意的是，最后一行中的*Errors*并不意味着分类的正确率，\n而是它与目标向量的绝对误差。 \n\n让我们用我们的模型去分类那些红酒数据集中剩余的它不曾接触过的数据：\n```Python\n>>> mlp.test(feature[142:], target[142:])\n'Classification Correct: 94.4444%'\n```\n正如你们所见到的，我们的模型具备了一定的分类能力。\n#### Ⅳ. 后记\n为了能在下一次任务中快速地调用训练好的模型，DaPy中支持了模型的保存方法：\n```Python\n>>> mlp.topkl('First_mlp.pkl')\n```\n在一次正式的工作中，你可以通过如下方式快速地使用训练好的模型预测新的案例：\n```Python\n>>> mlp = machine_learn.MLP()\n>>> mlp.readpkl('First_mlp.pkl')\n>>> mlp.predict(My_new_data)\n```\n" }, { "path": "doc/Quick Start/English.md", "content": "## Quick Start\n#### Ⅰ. Loading a dataset\nDaPy comes with a few famous datasets, for examples the **iris** \nand **wine** datasets for classification. \n\nIn the following, we will start a Python shell and then \nload the wine datasets as an example: \n```Python\n>>> from DaPy import methods\n>>> from DaPy import datasets\n>>> wine, info = datasets.wine()\n```\nThis function will return a *DaPy.SeriesSet* structure that holds \nall the data while a description of data will be returned at the \nsame time. \n\nIn general, to load from an external dataset, you can use these \nstatements, please refer to GuideBook for more details:\n```Python\n>>> data = dp.read(file_name)\n```\nIn this case, as a supervised problem, all of the \nindependent variables and dependent variables are stored in the \n*SeriesSet* menber. For instance, the data of the *wine* could be accessed using:\n```Python\n>>> wine\n Alcohol: <14.23, 13.2, 13.16, 14.37, 13.24, ... ,13.71, 13.4, 13.27, 13.17, 14.13>\n Malic acid: <1.71, 1.78, 2.36, 1.95, 2.59, ... ,5.65, 3.91, 4.28, 2.59, 4.1>\n Ash: <2.43, 2.14, 2.67, 2.5, 2.87, ... ,2.45, 2.48, 2.26, 2.37, 2.74>\n Alcalinity of ash: <15.6, 11.2, 18.6, 16.8, 21.0, ... ,20.5, 23.0, 20.0, 20.0, 24.5>\n Magnesium: <127, 100, 101, 113, 118, ... ,95, 102, 120, 120, 96>\n Total phenols: <2.8, 2.65, 2.8, 3.85, 2.8, ... ,1.68, 1.8, 1.59, 1.65, 2.05>\n Flavanoids: <3.06, 2.76, 3.24, 3.49, 2.69, ... ,0.61, 0.75, 0.69, 0.68, 0.76>\nNonflavanoid phenols: <0.28, 0.26, 0.3, 0.24, 0.39, ... ,0.52, 0.43, 0.43, 0.53, 0.56>\n Proanthocyanins: <2.29, 1.28, 2.81, 2.18, 1.82, ... ,1.06, 1.41, 1.35, 1.46, 1.35>\n Color intensity: <5.64, 4.38, 5.68, 7.8, 4.32, ... ,7.7, 7.3, 10.2, 9.3, 9.2>\n Hue: <1.04, 1.05, 1.03, 0.86, 1.04, ... ,0.64, 0.7, 0.59, 0.6, 0.61>\n OD280: <3.92, 3.4, 3.17, 3.45, 2.93, ... ,1.74, 1.56, 1.56, 1.62, 1.6>\n Proline: <1065, 1050, 1185, 1480, 735, ... ,740, 750, 835, 840, 560>\n class_1: <1, 1, 1, 1, 1, ... ,0, 0, 0, 0, 0>\n class_2: <0, 0, 0, 0, 0, ... ,0, 0, 0, 0, 0>\n class_3: <0, 0, 0, 0, 0, ... ,1, 1, 1, 1, 1>\n```\nEvery object of *SeriesSet* will auto concluses some basic information of the \ndataset (number of miss value, number of records & variable names). For exaples, \nyou can browse the dataset of *wine* as:\n```Python\n>>> wine.info\nsheet:data\n==========\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Ln=178 | Col=16\n3. Miss Value: 0 elements\n4. Describe: \n Title | Miss | Min | Max | Mean |Stdev \n----------------------+------+-------+-------+--------+------\n Alcohol | 0 | 11.03 | 14.83 | 13.00 | 0.81 \n Malic acid | 0 | 0.74 | 5.8 | 2.34 | 1.11 \n Ash | 0 | 1.36 | 3.23 | 2.37 | 0.27 \n Alcalinity of ash | 0 | 10.6 | 30.0 | 19.49 | 3.33 \n Magnesium | 0 | 70 | 162 | 99.74 |14.24 \n Total phenols | 0 | 0.98 | 3.88 | 2.30 | 0.62 \n Flavanoids | 0 | 0.34 | 5.08 | 2.03 | 1.00 \n Nonflavanoid phenols | 0 | 0.13 | 0.66 | 0.36 | 0.12 \n Proanthocyanins | 0 | 0.41 | 3.58 | 1.59 | 0.57 \n Color intensity | 0 | 1.28 | 13.0 | 5.06 | 2.31 \n Hue | 0 | 0.48 | 1.71 | 0.96 | 0.23 \n OD280 | 0 | 1.27 | 4.0 | 2.61 | 0.71 \n Proline | 0 | 278 | 1680 | 746.89 |314.02\n class_1 | 0 | 0 | 1 | 0.33 | 0.47 \n class_2 | 0 | 0 | 1 | 0.40 | 0.49 \n class_3 | 0 | 0 | 1 | 0.27 | 0.44 \n==============================================================\n```\n#### Ⅱ. Preparing data\nBefore we start a machine learning subject, we should process our \ndata so that the data can meet the requirements of the models. \n\nBy just accessed our data we found that our dataset is arrangement \nby class. For supporting a balance proportion of the training data, we can \nmass our data with *shuffles()*. In addition, for the reason that \nthe dimensional difference between variables is significant, which \nwe found in scanning data, we suppose to normalize the data:\n```Python\n>>> wine.shuffle()\n>>> wine.normalized()\n```\nAfter disrupting the data, we should separte our data according to the \ntarget variables and feature variables: \n```Python\n>>> feature, target = wine[:'Proline'], wine['class_1':] # contains the target\n```\n#### Ⅲ. Learning and predicting\nIn the case of the wine dataset, the task is to predict, given a new record, \nwhich class it represents. We are given samples of each of the 3 possible classes on \nwhich we fit an estimator to be able to predict the classes to which unseen samples belong. \n\nIn DaPy, an example of an estimator is the class DaPy.MLP that \nimplements *mutilayer perceptrons*: \n```Python\n>>> mlp = methods.MLP()\n>>> mlp.create(input_cell=13, output_cell=3)\n - Create structure: 13 - 12 - 3\n```\nWe call our estimator instance mlp, as it is a multilayer perceptrons. \nIt now must be trained to the model, that is, it must learn from the \nknown dataset. As a training set, let us use 142 records from our \ndataset apart in 80% of total. We select this training set with the\n[:142] Python syntax, which produces a new SeriesSet that contains \n80% records of total: \n```Python\n>>> mlp.train(feature[:142], target[:142])\n - Start Training...\n - Initial Error: 150.55 %\n Completed: 10.00 \tRemain Time: 1.32 s\tError: 11.82%\n Completed: 20.00 \tRemain Time: 1.37 s\tError: 8.37%\n Completed: 29.99 \tRemain Time: 1.26 s\tError: 6.64%\n Completed: 39.99 \tRemain Time: 1.11 s\tError: 5.59%\n Completed: 49.99 \tRemain Time: 0.94 s\tError: 4.88%\n Completed: 59.99 \tRemain Time: 0.72 s\tError: 4.36%\n Completed: 69.99 \tRemain Time: 0.54 s\tError: 3.96%\n Completed: 79.98 \tRemain Time: 0.36 s\tError: 3.65%\n Completed: 89.98 \tRemain Time: 0.18 s\tError: 3.39%\n Completed: 99.98 \tRemain Time: 0.00 s\tError: 3.18%\n - Total Spent: 2.0 s\tError: 3.1763 %\n```\n ![Page Not Found](https://github.com/JacksonWuxs/DaPy/blob/master/doc/Quick%20Start/result.png 'Result of Training') \n\nNow, *mlp* has been trained. It should be attention that the *Error* \nin last line does not means the correct proportion of classfication, \ninstead that it means the absolutely error of the target vector. \n\nLet us use our model to classifier the left records in wine dataset, \nwhich we have not used to train the estimator:\n```Python\n>>> mlp.test(feature[142:], target[142:])\n'Classification Correct: 97.2222%'\n```\nAs you can see, our model has a satisfactory ability in classification. \n#### Ⅳ. Postscript\nIn order to save time in the next task by using a ready-made model, \nit is possible to save our model in a file:\n```Python\n>>> mlp.topkl('First_mlp.pkl')\n```\nIn a real working environment, you can quickly use your trained \nmodel to predict a new record as:\n```Python\n>>> import DaPy as dp\n>>> mlp = machine_learn.MLP()\n>>> mlp.readpkl('First_mlp.pkl')\n>>> mlp.predict(My_new_data)\n```\n" }, { "path": "doc/Quick Start/get-start.py", "content": "from DaPy import datasets\nfrom DaPy.methods.classifiers import MLPClassifier\nfrom DaPy.methods.evaluator import Performance\n\ndata, info = datasets.iris()\ndata.info\ndata = data.shuffle().normalized()\nX, Y = data[:'petal width'], data['class']\n\nmy_clf = MLPClassifier().fit(X[:100], Y[:100])\nmy_clf.plot_error()\nPerformance(my_clf, X[100:], Y[100:], mode='clf')\nmy_clf.save('my_clf.pkl')\n\nfrom cPickle import load\nmlp = load(open('my_clf.pkl', 'r'))\n" }, { "path": "doc/Reading/DaPy - Introduction.txt", "content": "" }, { "path": "doc/Reading/DaPy - Smooth Data Mining Experience.md", "content": "### DaPy - Provides You With Smooth Data Processing Experience You've Never Had\nAre you upset by the strict data structure requirements of Pandas from time to time? Are you having a headache of consulting various documents for a simple operation？\n\nDaPy is here to emancipate you!!! Using DaPy, you can realise ideas with ease and you don't have to worry about being puzzled by an unfamiliar API or being interrupted by a popping up data format error. \n\nDaPy is a data analysis framework that pays close attention to usability from the beginning of its design. It is designed for data analysts, not programmers. What makes data analysts different is their problem-solving ideas, not hundreds of lines of code that make them work overtime!\n\n### How Friendly DaPy Is ?\n\n##### 1. Various Ways of Presenting Data in The Command Console\nDo not underestimate the way you browse data!!! As for data analysts, data perception plays a prominent part in their everyday work.\n```python\n>>> from DaPy.datasets import iris\n>>> sheet, info = iris()\n - read() in 0.001s.\n>>> sheet\nsheet:data\n==========\nsepal length: <5.1, 4.9, 4.7, 4.6, 5.0, ... ,6.7, 6.3, 6.5, 6.2, 5.9>\n sepal width: <3.5, 3.0, 3.2, 3.1, 3.6, ... ,3.0, 2.5, 3.0, 3.4, 3.0>\npetal length: <1.4, 1.4, 1.3, 1.5, 1.4, ... ,5.2, 5.0, 5.2, 5.4, 5.1>\n petal width: <0.2, 0.2, 0.2, 0.2, 0.2, ... ,2.3, 1.9, 2.0, 2.3, 1.8>\n class: \n>>> sheet.info\nsheet:data\n==========\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Lines=150 | Variables=5\n3. Miss Value: 0 elements\n Descriptive Statistics \n============================================================================================\n Title | Miss | Min | Mean | Max | Std | Mode \n--------------+------+--------------+-------------+-------------+--------------+------------\n sepal length | 0 | 4.300000191 | 5.843333327 | 7.900000095 | 0.8253012767 | 5\n sepal width | 0 | 2 | 3.054000003 | 4.400000095 | 0.4321465798 | 3\n petal length | 0 | 1 | 3.758666655 | 6.900000095 | 1.758529178 | 1.5\n petal width | 0 | 0.1000000015 | 1.198666658 | 2.5 | 0.7606126088 | 0.2\n class | 0 | - | - | - | - | setos\n============================================================================================\n>>> sheet.show(5)\nsheet:data\n==========\n sepal length | sepal width | petal length | petal width | class \n--------------+-------------+--------------+-------------+----------\n 5.1 | 3.5 | 1.4 | 0.2 | setos \n 4.9 | 3.0 | 1.4 | 0.2 | setos \n 4.7 | 3.2 | 1.3 | 0.2 | setos \n 4.6 | 3.1 | 1.5 | 0.2 | setos \n 5.0 | 3.6 | 1.4 | 0.2 | setos \n .. Omit 140 Ln .. \n 6.7 | 3.0 | 5.2 | 2.3 | virginic \n 6.3 | 2.5 | 5.0 | 1.9 | virginic \n 6.5 | 3.0 | 5.2 | 2.0 | virginic \n 6.2 | 3.4 | 5.4 | 2.3 | virginic \n 5.9 | 3.0 | 5.1 | 1.8 | virginic \n```\n##### 2. Well-Designed Table Structure for Human\nMany database systems, such as MySQL, Excel and SAS, are designed to store data line by line, since processing data that way tallies with the thinking method of human. However, Pandas is first designed to handle time series data, so data are stored column by column, a method which does not tie in with human brain and which makes Pandas difficult to master. For example, Pandas does not support very useful operations such us assigning values to lines that are iterated by`DataFrame.iterrows()`, an operation that is, in turn, available in Numpy. Many data analysts have to live with this steep learning curve because there is almost no substitute for Pandas. \n\nTo make the steep curve flat, DaPy bring this common practice back by introducing the concept of \"View\".\n\n```python\n>>> import DaPy as dp\n>>> sheet = dp.SeriesSet({'A': [1, 2, 3], 'B': [4, 5, 6]})\n>>> for row in sheet:\n\tprint(row.A, row[0]) # access values by index or column\n\trow[1] = 'b' # assign values by index\n1, 1\n2, 2\n3, 3\n>>> sheet.show() # your operation to the row is actually working on the sheet\n A | B\n---+---\n 1 | b \n 2 | b \n 3 | b \n>>> row0 = sheet[0] # get the view of that row \n>>> row0\n[1, 'b']\n>>> sheet.append_col(series=[7, 8, 9], variable_name='newColumn')\n>>> sheet.show()\n A | B | newColumn\n---+---+-----------\n 1 | b | 7 \n 2 | b | 8 \n 3 | b | 9 \n>>> row0 # your operation to the sheet will react to the row\n[1, 'b', 7]\n```\n\n##### 3. By The Way, Did Anyone Say He Likes Chain Programming? \nHere is an interesting Chain Programming example. \n\nFollowing are 6 operations that we want to apply to the Anderson's Iris data set.\n\n（1）Normalise each column;\n\n（2）Screen out records that meet the criteria that ‘sepal length’ is shorter than ‘petal length’;\n\n（3）Group the filtered data set by the class of Iris;\n\n（4）Sort the 'petal width' of each subgroup in ascending order;\n\n（5）Select the first 10 rows of each sorted subgroup;\n\n（6）Show descriptive statistical information of each subsets;\n\n```python\n>>> from DaPy.datasets import iris\n>>> sheet, info = iris()\n - read() in 0.001s.\n>>> sheet.normalized().query('sepal length < petal length').groupby('class').sort('petal width')[:10].info\n - normalized() in 0.005s.\n - query() in 0.000s.\n - groupby() in 0.000s.\n - sort() in 0.000s.\nsheet:('virginic',)\n===================\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Lines=10 | Variables=5\n3. Miss Value: 0 elements\n Descriptive Statistics \n==================================================================================================\n Title | Miss | Min | Mean | Max | Std | Mode \n--------------+------+---------------+--------------+--------------+---------------+--------------\n sepal length | 0 | 0.166666612 | 0.5722221836 | 0.8333333135 | 0.1770819779 | 0.5555555173\n sepal width | 0 | 0.08333332837 | 0.2958333254 | 0.4166666567 | 0.1028246885 | 0.3749999851\n petal length | 0 | 0.5932203531 | 0.7474576116 | 0.8983050585 | 0.08523585797 | 0.8135593089\n petal width | 0 | 0.5416666865 | 0.6541666567 | 0.7083333135 | 0.06194194576 | 0.7083333332\n class | 0 | - | - | - | - | virginic\n==================================================================================================\nsheet:('setos',)\n================\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Lines=6 | Variables=5\n3. Miss Value: 0 elements\n Descriptive Statistics \n========================================================================================================\n Title | Miss | Min | Mean | Max | Std | Mode \n--------------+------+------------------+---------------+---------------+---------------+---------------\n sepal length | 0 | -5.298190686e-08 | 0.05092587401 | 0.1388888359 | 0.04652720208 | 0.02777772553\n sepal width | 0 | 0.375 | 0.4583333184 | 0.5833333135 | 0.06804137465 | 0.4166666501\n petal length | 0 | 0.01694915257 | 0.07062146782 | 0.1525423676 | 0.04199454314 | 0.05084745681\n petal width | 0 | -6.208817349e-10 | 0.03472222315 | 0.04166666791 | 0.01552825054 | 0.04166666607\n class | 0 | - | - | - | - | setos\n========================================================================================================\nsheet:('versicolo',)\n====================\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Lines=10 | Variables=5\n3. Miss Value: 0 elements\n Descriptive Statistics \n=================================================================================================\n Title | Miss | Min | Mean | Max | Std | Mode \n--------------+------+--------------+--------------+--------------+---------------+--------------\n sepal length | 0 | 0.166666612 | 0.3083332881 | 0.4722221792 | 0.101265146 | 0.1944443966\n sepal width | 0 | 0 | 0.166666659 | 0.2916666567 | 0.07905693876 | 0.16666666\n petal length | 0 | 0.3389830589 | 0.4423728734 | 0.5254237056 | 0.05644347527 | 0.3898305022\n petal width | 0 | 0.375 | 0.387499997 | 0.4166666567 | 0.01909406084 | 0.3749999996\n class | 0 | - | - | - | - | versicolo\n=================================================================================================\n```\n##### 4. Some Good Features of Numpy & Pandas Are Inherited\n```python\n>>> sheet.A + sheet.B\n>>> sheet[sheet.A > sheet.B]\n```\n### What's More？\n\n##### 1. Super Powerful and Robust I/O Tools\nWe are sometimes faced with a same problem----how to convert .csv files to Excel files and the reverse?\n```python\n>>> from DaPy.datasets import iris\n>>> sheet, info = iris()\n>>> sheet.groupby('class').save('iris.xls') # this step actually save three sub-sheets in Excel\n - groupby() in 0.000s.\n - save() in 0.241s.\n>>> import DaPy as dp\n>>> dp.read('iris.xls').shape # DaPy read 3 table in once\n - read() in 0.004s.\nsheet:('virginic',)\n===================\nsheet(Ln=50, Col=5)\nsheet:('setos',)\n================\nsheet(Ln=50, Col=5)\nsheet:('versicolo',)\n====================\nsheet(Ln=50, Col=5)\n```\nDo you think this is all what `read()` can do？Let's see something more impressive！！！\n```python\n>>> import DaPy as dp\n>>> dp.read('iris.xls').save('iris.db') # Excel to Sqlite3\n>>> dp.read('iris.sav').save('iris.html') # SPSS to HTML\n>>> dp.read('https://sofifa.com/players').save('mysql://root:123123@localhost:3306/fifa_db') # Scrpe the FIFA players information and save htem into MySQL\n>>> dp.read('mysql://root:123123@localhost:3306/fifa_db').save('fifa.csv') # MySQL to CSV\n```\n##### 2. DaPy Supports Super-many Data Preprocessing and Feature Engineering Operations\nData Preprocessing\n```python\n>>> sheet.drop_duplicates(keep='first') #drop out duplicating records\n>>> sheet.fillna(method='linear') # fillng NaN with linear interception\n>>> sheet.drop('ID', axis=1) # Remove some useless variables\n>>> sheet.count_values('gender') # Counting the frequency\n```\nFeature Engineering\n```python\n>>> sheet.get_date_label('birth') # Process the date variable to automatically construct more periodic variables\n>>> sheet.get_categories(cols='age', cutpoints=[18, 30, 50], group_name=['Teenager', 'Mature', 'Middle Age', 'Senior']) # Seperate continuous variables into categorical variables\n>>> sheet.get_dummies(['city', 'education']) # categorical variables to dummy variables\n>>> sheet.get_interactions(n_power=3, col=['income', 'age', 'gender', 'education']) # form high order interaction variables \n```\n##### 3. Last But Not Least, The Machine Learning Module!!!\nDaPy has four built-in models: linear regression, logical regression, multi-layer perceptron and C4.5 decision tree. When it comes to statistical models, the developers of DaPy's think Sklearn and Tensorflow have already done an unsurpassable job. Our prime focus is on presenting more reports of hypothesis-testings since the main devoloper's major is Statistics.\nLet's first take a look at a demo.\n\n```python\n>>> from DaPy.datasets import iris\n>>> sheet, info = iris()\n - read() in 0.001s.\n>>> sheet = sheet.shuffle().normalized()\n - shuffle() in 0.001s.\n - normalized() in 0.005s.\n>>> X, Y = sheet[:'petal width'], sheet['class']\n>>> \n>>> from DaPy.methods.classifiers import MLPClassifier\n>>> mlp = MLPClassifier().fit(X[:120], Y[:120])\n - Structure | Input:4 - Dense:4 - Output:3\n - Finished: 0.2%\tEpoch: 1\tRest Time: 0.24s\tAccuracy: 0.33%\n ### Logs are omitted here. ###\n - Finished: 99.8%\tEpoch: 500\tRest Time: 0.00s\tAccuracy: 0.88%\n - Finish Train | Time:1.9s\tEpoch:500\tAccuracy:88.33%\n>>> \n>>> from DaPy.methods.evaluator import Performance\n>>> Performance(mlp, X[120:], Y[120:], mode='clf')\n - Classification Accuracy: 86.6667%\n - Classification Kappa: 0.8667\n┏ ┓\n┃ 11 0 0 11 ┃\n┃ 0 8 1 9 ┃\n┃ 0 3 7 10 ┃\n┃11.0 11.0 8.0 30.0┃\n┗ ┛\n```\n\n\n\n### Finally, if you find DaPy useful，[give us a star on Github](https://github.com/JacksonWuxs/DaPy)! Issues are also very welcomed!!!\n\n" }, { "path": "doc/Reading/DaPy - 丝滑般实现数据分析.md", "content": "### DaPy - 带你领略从未有过的丝滑般体验\n总因为Pandas严格的数据结构要求让你感受到很苦恼？为了实现一个简单的操作也要查阅很多的文档而头疼？\n\nDaPy来解放你啦！你可以用[DaPy](https://github.com/JacksonWuxs/DaPy/blob/master/README_Chinese.md)流利地实现脑子早已思索好的想法，不再因为**找不到API**或者**数据格式报错**而打断你的思路！DaPy是一个从设计开始就非常关注易用性的数据分析框架，它专为数据分析师而设计，而不是程序员。对于数据分析师而言，你的价值是解决问题思路！而不是害得你996的几百行代码！\n\n### DaPy有多友好？\n\n##### 1. 多种在CMD中呈现数据的方式\n不要小看浏览数据的方式！对于数据分析师而言，感知数据是非常重要的！\n```python\n>>> from DaPy.datasets import iris\n>>> sheet, info = iris()\n - read() in 0.001s.\n>>> sheet\nsheet:data\n==========\nsepal length: <5.1, 4.9, 4.7, 4.6, 5.0, ... ,6.7, 6.3, 6.5, 6.2, 5.9>\n sepal width: <3.5, 3.0, 3.2, 3.1, 3.6, ... ,3.0, 2.5, 3.0, 3.4, 3.0>\npetal length: <1.4, 1.4, 1.3, 1.5, 1.4, ... ,5.2, 5.0, 5.2, 5.4, 5.1>\n petal width: <0.2, 0.2, 0.2, 0.2, 0.2, ... ,2.3, 1.9, 2.0, 2.3, 1.8>\n class: \n>>> sheet.info\nsheet:data\n==========\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Lines=150 | Variables=5\n3. Miss Value: 0 elements\n Descriptive Statistics \n=======================================================================================\n Title | Miss | Min | Mean | Max | Std | Mode \n--------------+------+-----------+-----------+-------------+--------------+------------\n sepal length | 0 | 4.300001 | 5.8433333 | 7.900000095 | 0.8253012767 | 5\n sepal width | 0 | 2 | 3.0540000 | 4.400000095 | 0.4321465798 | 3\n petal length | 0 | 1 | 3.7586666 | 6.900000095 | 1.758529178 | 1.5\n petal width | 0 | 0.1000000 | 1.1986666 | 2.5 | 0.7606126088 | 0.2\n class | 0 | - | - | - | - | setos\n=======================================================================================\n>>> sheet.show(5)\nsheet:data\n==========\n sepal length | sepal width | petal length | petal width | class \n--------------+-------------+--------------+-------------+----------\n 5.1 | 3.5 | 1.4 | 0.2 | setos \n 4.9 | 3.0 | 1.4 | 0.2 | setos \n 4.7 | 3.2 | 1.3 | 0.2 | setos \n 4.6 | 3.1 | 1.5 | 0.2 | setos \n 5.0 | 3.6 | 1.4 | 0.2 | setos \n .. Omit 140 Ln .. \n 6.7 | 3.0 | 5.2 | 2.3 | virginic \n 6.3 | 2.5 | 5.0 | 1.9 | virginic \n 6.5 | 3.0 | 5.2 | 2.0 | virginic \n 6.2 | 3.4 | 5.4 | 2.3 | virginic \n 5.9 | 3.0 | 5.1 | 1.8 | virginic \n```\n##### 2. 符合人们习惯的二维数据表结构\n按行处理数据是符合我们每一个人想法的，因此几乎所有的数据库设计都是按照按行存储的。由于Pandas最早是为了处理时间序列数据而开发的，所以他的数据是以列进行的存储。虽然这种存储方式在全局处理上表现出了不错的性能，但没优化情况下行操作却让人较为难以忍受的。由于没有什么更好的替代品，人们不得不花很多时间去适应Pandas的编程思维。比如，Pandas不支持对于`DataFrame.iterrows()`迭代出来的行进行赋值操作。这个功能即使如此常用，在NumPy中也是原生支持的功能在Pandas里却是被禁止的。\n\n针对这类由行操作引发的问题，DaPy通过引入“视图”的概念重新优化了按行操作这个符合人们习惯的操作方式。\n\n```python\n>>> import DaPy as dp\n>>> sheet = dp.SeriesSet({'A': [1, 2, 3], 'B': [4, 5, 6]}) # 初始化一张表\n>>> for row in sheet: # 对表进行迭代\n\tprint(row.A, row[0]) # 按照下标或者列名访问行数据的值\n\trow[1] = 'b' # 用下标为行赋值\n1, 1\n2, 2\n3, 3\n>>> sheet.show() # 你对行的赋值操作会映射到原表中\n A | B\n---+---\n 1 | b \n 2 | b \n 3 | b \n>>> row0 = sheet[0] # 拿到行的索引 \n>>> row0\n[1, 'b']\n>>> sheet.append_col(series=[7, 8, 9], variable_name='newColumn') # 为表添加新列\n>>> sheet.show()\n A | B | newColumn\n---+---+-----------\n 1 | b | 7 \n 2 | b | 8 \n 3 | b | 9 \n>>> row0 # 表的操作会时时刻刻反映到行上\n[1, 'b', 7]\n```\n\n##### 3. 对了，听说有人喜欢链式表达？\n让我们来做一个稍微有趣点的链式表达! 我希望对于经典的鸢尾花数据集在一行代码中完成下面的6个操作。\n\n（1）对于每一列数据分别进行标准化操作；\n\n（2）然后找到在标准化以后满足sepal length小于petal length的记录；\n\n（3）对于筛选出来的数据集按照鸢尾花的类别class进行分组；\n\n（4）对于每个分组都按照petal width进行升序排序；\n\n（5）对于排好序后的分组选取前10行记录；\n\n（6）对于每个由前十行记录构成的子数据集进行描述性统计；\n```python\n>>> from DaPy.datasets import iris\n>>> sheet, info = iris()\n - read() in 0.001s.\n>>> sheet.normalized().query('sepal length < petal length').groupby('class').sort(' petal width')[:10].info\n - normalized() in 0.005s.\n - query() in 0.000s.\n - groupby() in 0.000s.\n - sort() in 0.000s.\nsheet:('virginic',)\n===================\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Lines=10 | Variables=5\n3. Miss Value: 0 elements\n Descriptive Statistics \n=======================================================================================\n Title | Miss | Min | Mean | Max | Std | Mode \n--------------+------+-----------+----------+------------+--------------+--------------\n sepal length | 0 | 0.16666 | 0.572218 | 0.83333331 | 0.177081977 | 0.5555555173\n sepal width | 0 | 0.0833333 | 0.295832 | 0.41666665 | 0.102824685 | 0.3749999851\n petal length | 0 | 0.593220 | 0.747457 | 0.89830505 | 0.0852358577 | 0.8135593089\n petal width | 0 | 0.541666 | 0.654166 | 0.70833331 | 0.0619419457 | 0.7083333332\n class | 0 | - | - | - | - | virginic\n=======================================================================================\nsheet:('setos',)\n================\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Lines=6 | Variables=5\n3. Miss Value: 0 elements\n Descriptive Statistics \n=======================================================================================\n Title | Miss | Min | Mean | Max | Std | Mode \n--------------+------+-----------+----------+-----------+--------------+---------------\n sepal length | 0 | -5.29e-08 | 0.050925 | 0.138888 | 0.0465272020 | 0.02777772553\n sepal width | 0 | 0.375 | 0.45833 | 0.583333 | 0.0680413746 | 0.4166666501\n petal length | 0 | 0.0169 | 0.070621 | 0.152542 | 0.0419945431 | 0.05084745681\n petal width | 0 | -6.20e-10 | 0.034722 | 0.0416666 | 0.0155282505 | 0.04166666607\n class | 0 | - | - | - | - | setos\n=======================================================================================\nsheet:('versicolo',)\n====================\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Lines=10 | Variables=5\n3. Miss Value: 0 elements\n Descriptive Statistics \n=======================================================================================\n Title | Miss | Min | Mean | Max | Std | Mode \n--------------+------+----------+----------+------------+--------------+--------------\n sepal length | 0 | 0.16666 | 0.308333 | 0.47222217 | 0.10126514 | 0.1944443966\n sepal width | 0 | 0 | 0.16666 | 0.29166665 | 0.0790569387 | 0.16666666\n petal length | 0 | 0.338983 | 0.442372 | 0.52542370 | 0.0564434752 | 0.3898305022\n petal width | 0 | 0.375 | 0.38749 | 0.41666665 | 0.0190940608 | 0.3749999996\n class | 0 | - | - | - | - | versicolo\n=======================================================================================\n```\n##### 4. 一些numpy和pandas优良的特性他也保留了\n```python\n>>> sheet.A + sheet.B # 下标访问列并且做四则运算\n>>> sheet[sheet.A > sheet.B] # 这个非常Pythonic的切片写法！\n```\n### 除了语法特性上的优化，还有没有其他的硬家伙？\n\n##### 1. 超级NB的、鲁棒性极强的I/O工具！！！\n我们都会遇到过一个问题，怎么把csv转换成Excel；或者反过来，Excel转回csv?\n```python\n>>> from DaPy.datasets import iris\n>>> sheet, info = iris()\n>>> sheet.groupby('class').save('iris.xls') # 对！直接链式表达转成了xls! 别忘了Excel是支持多子表的，所以刚刚groupby之后DaPy给你存了三个子表！\n - groupby() in 0.000s.\n - save() in 0.241s.\n>>> import DaPy as dp\n>>> dp.read('iris.xls').shape # DaPy竟然又一次性读完了三个表！！！\n - read() in 0.004s.\nsheet:('virginic',)\n===================\nsheet(Ln=50, Col=5)\nsheet:('setos',)\n================\nsheet(Ln=50, Col=5)\nsheet:('versicolo',)\n====================\nsheet(Ln=50, Col=5)\n```\n你以为read函数就这点水平吗？让我们来看看更骚的！！！\n```python\n>>> import DaPy as dp\n>>> dp.read('iris.xls').save('iris.db') # Excel 转 Sqlite3\n>>> dp.read('iris.sav').save('iris.html') # SPSS 转 HTML\n>>> # 爬取FIFA球员数据并存入MySQL数据库\n>>> dp.read('https://sofifa.com/players').save('mysql://root:123@localhost:3306/fifa_db') \n>>> dp.read('mysql://root:123123@localhost:3306/fifa_db').save('fifa.csv') # MySQL 转 CSV\n```\n##### 2. 支持超级多的数据预处理或者特征工程的操作\n先来一些数据预处理的\n```python\n>>> sheet.drop_duplicates(keep='first') #删除重复记录\n>>> sheet.fillna(method='linear') #线性插值法填充缺失值\n>>> sheet.drop('ID', axis=1) # 删除无用变量\n>>> sheet.count_values('gender') # 对于某个变量进行计数统计\n```\n再来一些特征工程的\n```python\n>>> sheet.get_date_label('birth') # 对日期变量做变化，会自动生成一大堆周期性变量\n>>> sheet.get_categories(cols='age', cutpoints=[18, 30, 50], group_name=['青年', '壮年', '中年', '老年']) # 对于连续型变量进行封箱操作\n>>> sheet.get_dummies(['city', 'education']) # 对于分类变量进行虚拟变量的引入\n>>> sheet.get_interactions(n_power=3, col=['income', 'age', 'gender', 'education']) # 为你选定的变量之间构成高阶交叉项，阶数n_power可以随便填！！！\n```\n##### 3. 最最后，重中之重，机器学习模块！\n在DaPy里面，已经内置了四个模型，分别是线性回归、逻辑回归、多层感知机和C4.5决策树。在模型这一块的话，DaPy的开发团队认为sklearn和tensorflow已经做得很好了。出于开发团队主要成员是统计系学生的关系，他们的思路是增加更多的统计学检验报告~\n我们先看看一个demo级别的样例好了\n\n```python\n>>> from DaPy.datasets import iris\n>>> sheet, info = iris()\n - read() in 0.001s.\n>>> sheet = sheet.shuffle().normalized()\n - shuffle() in 0.001s.\n - normalized() in 0.005s.\n>>> X, Y = sheet[:'petal width'], sheet['class']\n>>> \n>>> from DaPy.methods.classifiers import MLPClassifier\n>>> mlp = MLPClassifier().fit(X[:120], Y[:120])\n - Structure | Input:4 - Dense:4 - Output:3\n - Finished: 0.2%\tEpoch: 1\tRest Time: 0.24s\tAccuracy: 0.33%\n - Finished: 99.8%\tEpoch: 500\tRest Time: 0.00s\tAccuracy: 0.88%\n - Finish Train | Time:1.9s\tEpoch:500\tAccuracy:88.33%\n>>> \n>>> from DaPy.methods.evaluator import Performance\n>>> Performance(mlp, X[120:], Y[120:], mode='clf') # 性能测试包括了正确率、kappa系数和混淆矩阵，二分类任务会包含AUC\n - Classification Accuracy: 86.6667%\n - Classification Kappa: 0.8667\n┏ ┓\n┃ 11 0 0 11 ┃\n┃ 0 8 1 9 ┃\n┃ 0 3 7 10 ┃\n┃11.0 11.0 8.0 30.0┃\n┗ ┛\n```\n\n### 最后，如果你觉得DaPy不错的话，[去Github点个Star吧](https://github.com/JacksonWuxs/DaPy)！也很欢迎来提Issue哟！！！" }, { "path": "doc/Reading/DaPy - 简介.md", "content": "# 比Pandas好用的数据分析框架：DaPy\n\n![](https://img.shields.io/badge/Version-1.10.1-green.svg) ![](https://img.shields.io/badge/Python2-pass-green.svg)![](https://img.shields.io/badge/Python3-pass-green.svg)![](https://img.shields.io/badge/Download-PyPi-green.svg) ![](https://img.shields.io/badge/License-GNU-blue.svg)\n\n# 一、项目介绍\n\n### 1. DaPy 是什么？\n\n​\tDaPy是一个在设计时就非常关注易用性的数据分析库。通过提供设计合理的**数据结构**和丰富的**机器学习模型**，它能帮您快速地实现数据分析思路。简单来说，DaPy能帮助你完成数据挖掘任务中的每一步，导入导出数据、预处理数据、特征工程、模型训练和模型评估等。DaPy让数据分析师不用成为一个程序员。\n\t项目地址: [DaPy](https://github.com/JacksonWuxs/DaPy)\n\n### 2. 为什么用DaPy？\n\n​\t总的来说，DaPy通过一系列精心设计的APIs接口和对于这些接口的优化，显著降低了数据分析过程中编程人员对于数据结构等编程技巧的要求。\n\n* 符合人们习惯的数据结构\n\n​\t按行处理数据是符合我们每一个人想法的，因此几乎所有的数据库设计都是按照按行存储的。Pandas是Python语言中最常用的数据分析/数据处理框架。由于Pandas最早是为了处理时间序列数据而开发的，所以他的数据是按列存储的。虽然按列存储在全局处理上有不错的性能，但在进行“行操作”时却是一场灾难。由于缺乏替代品，人们不得不去适应Pandas的编程思维。比如，Pandas禁止对`DataFrame.iterrows()`迭代出来的每一行数据进行赋值操作。\n\n​\tDaPy看到了列存储在全局处理时的高效性，但同时也关注到了这类反直觉操作所耗费的大量时间与精力。针对这个问题，DaPy通过引入“视图”的概念使得人们不但可以高效地按照符合人们习惯的方式进行数据操作，同时也具备全局处理时的高性能。\n\n* 多种在CMD中展示数据的方案\n\n 下面我们将导入DaPy自带的经典鸢尾花数据集作为数据展示的样例。\n\n```\n>>> from DaPy.datasets import iris\n>>> sheet, info = iris()\n - read() in 0.001s.\n>>> sheet\nsheet:data\n==========\nsepal length: <5.1, 4.9, 4.7, 4.6, 5.0, ... ,6.7, 6.3, 6.5, 6.2, 5.9>\n sepal width: <3.5, 3.0, 3.2, 3.1, 3.6, ... ,3.0, 2.5, 3.0, 3.4, 3.0>\npetal length: <1.4, 1.4, 1.3, 1.5, 1.4, ... ,5.2, 5.0, 5.2, 5.4, 5.1>\n petal width: <0.2, 0.2, 0.2, 0.2, 0.2, ... ,2.3, 1.9, 2.0, 2.3, 1.8>\n class: \n>>> sheet.info\nsheet:data\n==========\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Lines=150 | Variables=5\n3. Miss Value: 0 elements\n Descriptive Statistics \n=======================================================================================\n Title | Miss | Min | Mean | Max | Std | Mode \n--------------+------+-----------+-----------+-------------+--------------+------------\n sepal length | 0 | 4.300001 | 5.8433333 | 7.900000095 | 0.8253012767 | 5\n sepal width | 0 | 2 | 3.0540000 | 4.400000095 | 0.4321465798 | 3\n petal length | 0 | 1 | 3.7586666 | 6.900000095 | 1.758529178 | 1.5\n petal width | 0 | 0.1000000 | 1.1986666 | 2.5 | 0.7606126088 | 0.2\n class | 0 | - | - | - | - | setos\n=======================================================================================\n>>> sheet.show(3)\nsheet:data\n==========\n sepal length | sepal width | petal length | petal width | class \n--------------+-------------+--------------+-------------+----------\n 5.1 | 3.5 | 1.4 | 0.2 | setos \n 4.9 | 3.0 | 1.4 | 0.2 | setos \n 4.7 | 3.2 | 1.3 | 0.2 | setos \n .. Omit 144 Ln .. \n 6.5 | 3.0 | 5.2 | 2.0 | virginic \n 6.2 | 3.4 | 5.4 | 2.3 | virginic \n 5.9 | 3.0 | 5.1 | 1.8 | virginic \n```\n\n* 支持优雅的链式表达\n\n 让我们来做一个稍微有趣点的链式表达! 我希望对于前面的鸢尾花数据集在一行代码中完成下面的6个操作。\n\n（1）对于每一列数据分别进行标准化操作；\n\n（2）然后找到在标准化以后满足sepal length小于petal length的记录；\n\n（3）对于筛选出来的数据集按照鸢尾花的类别class进行分组；\n\n（4）对于每个分组都按照petal width进行升序排序；\n\n（5）对于排好序后的分组选取前10行记录；\n\n（6）对于每个由前十行记录构成的子数据集进行描述性统计；\n\n```\n>>> sheet.normalized().query('sepal length < petal length').groupby('class').sort(' petal width')[:10].info # 这就是链式表达的代码\n - normalized() in 0.005s.\n - query() in 0.000s.\n - groupby() in 0.000s.\n - sort() in 0.000s.\nsheet:('virginic',)\n===================\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Lines=10 | Variables=5\n3. Miss Value: 0 elements\n Descriptive Statistics \n=======================================================================================\n Title | Miss | Min | Mean | Max | Std | Mode \n--------------+------+-----------+----------+------------+--------------+--------------\n sepal length | 0 | 0.16666 | 0.572218 | 0.83333331 | 0.177081977 | 0.5555555173\n sepal width | 0 | 0.0833333 | 0.295832 | 0.41666665 | 0.102824685 | 0.3749999851\n petal length | 0 | 0.593220 | 0.747457 | 0.89830505 | 0.0852358577 | 0.8135593089\n petal width | 0 | 0.541666 | 0.654166 | 0.70833331 | 0.0619419457 | 0.7083333332\n class | 0 | - | - | - | - | virginic\n=======================================================================================\nsheet:('setos',)\n================\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Lines=6 | Variables=5\n3. Miss Value: 0 elements\n Descriptive Statistics \n=======================================================================================\n Title | Miss | Min | Mean | Max | Std | Mode \n--------------+------+-----------+----------+-----------+--------------+---------------\n sepal length | 0 | -5.29e-08 | 0.050925 | 0.138888 | 0.0465272020 | 0.02777772553\n sepal width | 0 | 0.375 | 0.45833 | 0.583333 | 0.0680413746 | 0.4166666501\n petal length | 0 | 0.0169 | 0.070621 | 0.152542 | 0.0419945431 | 0.05084745681\n petal width | 0 | -6.20e-10 | 0.034722 | 0.0416666 | 0.0155282505 | 0.04166666607\n class | 0 | - | - | - | - | setos\n=======================================================================================\nsheet:('versicolo',)\n====================\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Lines=10 | Variables=5\n3. Miss Value: 0 elements\n Descriptive Statistics \n=======================================================================================\n Title | Miss | Min | Mean | Max | Std | Mode \n--------------+------+----------+----------+------------+--------------+--------------\n sepal length | 0 | 0.16666 | 0.308333 | 0.47222217 | 0.10126514 | 0.1944443966\n sepal width | 0 | 0 | 0.16666 | 0.29166665 | 0.0790569387 | 0.16666666\n petal length | 0 | 0.338983 | 0.442372 | 0.52542370 | 0.0564434752 | 0.3898305022\n petal width | 0 | 0.375 | 0.38749 | 0.41666665 | 0.0190940608 | 0.3749999996\n class | 0 | - | - | - | - | versicolo\n=======================================================================================\n```\n\n* 强大的I/O功能\n\n 我们都会遇到过一个问题，怎么把csv转换成Excel；或者反过来，Excel转回csv?\n\n```\n>>> sheet.groupby('class').save('iris.xls') # 对！直接链式表达转成了xls! 别忘了Excel是支持多子表的，所以刚刚groupby之后DaPy给你存了三个子表！\n - groupby() in 0.000s.\n - save() in 0.241s.\n>>> import DaPy as dp\n>>> dp.read('iris.xls').shape # DaPy竟然又一次性读完了三个表！！！\n - read() in 0.004s.\nsheet:('virginic',)\n===================\nsheet(Ln=50, Col=5)\nsheet:('setos',)\n================\nsheet(Ln=50, Col=5)\nsheet:('versicolo',)\n====================\nsheet(Ln=50, Col=5)\n```\n\n​\t除此以外，DaPy的I/O工具还支持更为灵活的数据源。\n\n```\n>>> import DaPy as dp\n>>> dp.read('iris.xls').save('iris.db') # Excel 转 Sqlite3\n>>> dp.read('iris.sav').save('iris.html') # SPSS 转 HTML\n>>> # 爬取FIFA球员数据并存入MySQL数据库\n>>> dp.read('http://sofifa.com/players').save('mysql://root:123@localhost:3306/db') \n>>> dp.read('mysql://root:123@localhost:3306/db').save('fifa.csv') # MySQL 转 CSV\n```\n\n* 全面的数据预处理和特征工程\n\n 部分数据预处理的函数\n\n```\n>>> sheet.drop_duplicates(keep='first') #删除重复记录\n>>> sheet.fillna(method='linear') #线性插值法填充缺失值\n>>> sheet.drop('ID', axis=1) # 删除无用变量\n>>> sheet.count_values('gender') # 对于某个变量进行计数统计\n```\n\n​\t部分特征工程的函数\n\n```\n>>> sheet.get_date_label('birth') # 对日期变量做变化，会自动生成一大堆周期性变量\n>>> sheet.get_categories(cols='age', cutpoints=[18, 30, 50], group_name=['青年', '壮年', '中年', '老年']) # 对于连续型变量进行封箱操作\n>>> sheet.get_dummies(['city', 'education']) # 对于分类变量进行虚拟变量的引入\n>>> sheet.get_interactions(n_power=3, col=['income', 'age', 'gender', 'education']) # 为你选定的变量之间构成高阶交叉项，阶数n_power可以随便填！！！\n```\n\n### 3. 什么时候应该使用DaPy\n\n* 针对这个数据我知道一个baseline级别的思路，我想**快速实现思路**的方向；\n* 我希望解决项目论文中的数据分析工作，并**不用于工程项目**；\n* 不要让数据格式错误或者找不到接口这些编码级别的问题打断我的思路；\n* Pandas的操作太不人性了，但是Excel又解决不了着几百万级别的数据，我有其他选择吗？\n* 我希望进行更多统计学的相关假设检验的实验；\n\n---\n\n# 二、快速上手\n\n- Python 版本: 3.5\n- 运行方式：命令行\n\n## 2.1 安装\n\n1. 安装 DaPy\n\n```shell\npip install DaPy\n```\n\n\n安装完成之后, 就可以直接在命令行中使用了! \n\n## 2.2 快速体验一个机器学习\n\n​\t（1）导入经典的鸢尾花数据集，并且查看该数据集的基本描述性统计信息。\n\n```\n>>> from DaPy.datasets import iris\n>>> data, info = iris()\n - read() in 0.017s.\n>>> data.info\nsheet:data\n==========\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Lines=150 | Variables=5\n3. Miss Value: 0 elements\n Descriptive Statistics \n=======================================================================================\n Title | Miss | Min | Mean | Max | Std | Mode \n--------------+------+------------+-----------+------------+--------------+------------\n sepal length | 0 | 4.3000191 | 5.8433333 | 7.90000095 | 0.8253012767 | 5\n sepal width | 0 | 2 | 3.0540003 | 4.40000095 | 0.4321465798 | 3\n petal length | 0 | 1 | 3.7586666 | 6.90000095 | 1.758529178 | 1.5\n petal width | 0 | 0.10000015 | 1.1986658 | 2.5 | 0.7606126088 | 0.2\n class | 0 | - | - | - | - | setos\n=======================================================================================\n```\n\n​\t基于上述结果我们可以看到，我们总共有4个自变量，总计150条数据，不存在缺失值。\n\n​\t（2）接下来我们比较一下各个目标类别的差别\n\n```\n>>> data.groupby('class').info\n - groupby() in 0.001s.\nsheet:('virginic',)\n===================\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Lines=50 | Variables=5\n3. Miss Value: 0 elements\n Descriptive Statistics \n=======================================================================================\n Title | Miss | Min | Mean | Max | Std | Mode \n--------------+------+-----------+-----------+-------------+--------------+------------\n sepal length | 0 | 4.9000095 | 6.5880002 | 7.900000095 | 0.6294886326 | 6.3\n sepal width | 0 | 2.2000048 | 2.9739999 | 3.799999952 | 0.3192553797 | 3\n petal length | 0 | 4.5 | 5.5519999 | 6.900000095 | 0.5463478596 | 5.1\n petal width | 0 | 1.3999999 | 2.0259999 | 2.5 | 0.2718896914 | 1.8\n class | 0 | - | - | - | - | virginic\n=======================================================================================\nsheet:('setos',)\n================\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Lines=50 | Variables=5\n3. Miss Value: 0 elements\n Descriptive Statistics \n=======================================================================================\n Title | Miss | Min | Mean | Max | Std | Mode \n--------------+------+------------+------------+------------+-------------+------------\n sepal length | 0 | 4.3000001 | 5.0060004 | 5.8000091 | 0.348946968 | 5\n sepal width | 0 | 2.2999999 | 3.4180007 | 4.4000095 | 0.3771949 | 3.4\n petal length | 0 | 1 | 1.4639996 | 1.8999999 | 0.171767294 | 1.5\n petal width | 0 | 0.10000015 | 0.24400048 | 0.60000008 | 0.106131996 | 0.2\n class | 0 | - | - | - | - | setos\n=======================================================================================\nsheet:('versicolo',)\n====================\n1. Structure: DaPy.SeriesSet\n2. Dimensions: Lines=50 | Variables=5\n3. Miss Value: 0 elements\n Descriptive Statistics \n======================================================================================\n Title | Miss | Min | Mean | Max | Std | Mode \n--------------+------+-------------+-------------+-------------+--------------+------------\n sepal length | 0 | 4.9000000 | 5.9359999 | 7 | 0.5109833734 | 5.5\n sepal width | 0 | 2 | 2.770000 | 3.400000095 | 0.3106444926 | 3\n petal length | 0 | 3 | 4.2599999 | 5.099999905 | 0.4651881313 | 4.5\n petal width | 0 | 1 | 1.3259999 | 1.799999952 | 0.1957651626 | 1.3\n class | 0 | - | - | - | - | versicolo\n=======================================================================================\n```\n\n​\t上面的信息告诉我们，三个类别各自有50条记录，不同的类别下的自变量差异显著。\n\n​\t（3）下面我们要进行标准化处理，并且把自变量和因变量独立开来\n\n```\n>>> sheet = sheet.shuffle().normalized()\n - shuffle() in 0.001s.\n - normalized() in 0.005s.\n>>> X, Y = sheet[:'petal width'], sheet['class']\n```\n\n​\t（4）导入经典的多层感知机分类器并训练模型，最后保存训练好的模型\n\n```\n>>> from DaPy.methods.classifiers import MLPClassifier\n>>> mlp = MLPClassifier().fit(X[:120], Y[:120]).save('mymodel.pkl')\n - Structure | Input:4 - Dense:4 - Output:3\n - Finished: 0.2%\tEpoch: 1\tRest Time: 0.24s\tAccuracy: 0.33%\n - Finished: 99.8%\tEpoch: 500\tRest Time: 0.00s\tAccuracy: 0.88%\n - Finish Train | Time:1.9s\tEpoch:500\tAccuracy:88.33%\n```\n\n​\t（5）性能测试\n\n```\n>>> from DaPy.methods.evaluator import Performance\n>>> Performance(mlp, X[120:], Y[120:], mode='clf') # 性能测试包括了正确率、kappa系数和混淆矩阵，二分类任务会包含AUC\n - Classification Accuracy: 86.6667%\n - Classification Kappa: 0.8667\n┏ ┓\n┃ 11 0 0 11 ┃\n┃ 0 8 1 9 ┃\n┃ 0 3 7 10 ┃\n┃11.0 11.0 8.0 30.0┃\n┗ ┛\n```\n\n" }, { "path": "doc/homepage/License.md", "content": "### License\n\nCopyright (C) 2018 - 2019 Xuansheng Wu\n\nThis program is free software: you can redistribute it and/or modify\nit under the terms of the GNU General Public License as published by\nthe Free Software Foundation, either version 3 of the License, or\n(at your option) any later version.\n\nThis program is distributed in the hope that it will be useful,\nbut WITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\nGNU General Public License for more details.\n\nYou should have received a copy of the GNU General Public License\nalong with this program. If not, see https:\\\\www.gnu.org\\licenses.# datapy\nA light Python library for data processing and analysing." }, { "path": "doc/homepage/TODO.md", "content": "### TODO \n\n:heavy_check_mark: = Done :running: = In Development ​ :calendar: = Put On the Agenda :thinking: = Not Sure\n\n- Data Structures\n - DataSet (3-D data structure) :heavy_check_mark:\n - Frame (2-D general data structure)​ :heavy_check_mark:\n - SeriesSet (2-D general data structure) :heavy_check_mark:\n - Matrix (2-D mathematical data structure) :heavy_check_mark:\n - Row (1-D general data structure) :heavy_check_mark:\n - Series (1-D general data structure) :heavy_check_mark:\n - TimeSeries (1-D time sequence data structure)​ :running:\n- Statistics\n - Basic Statistics (mean, std, skewness, kurtosis, frequency, fuantils)​ :heavy_check_mark:\n - Correlation (spearman & pearson) :heavy_check_mark:\n - Analysis of variance :heavy_check_mark:\n - Compare Means (simple T-test, independent T-test) :heavy_check_mark:\n- Operations\n - Beautiful CRUD APIs (create, Retrieve, Update, Delete) :heavy_check_mark:\n - Flexible I/O Tool(supporting multiple source data for input and output) :heavy_check_mark:\n - Dummy Variables (auto parse norminal variable into dummy variable) :heavy_check_mark:\n - Difference Sequence Data :heavy_check_mark:\n - Normalize Data (log, normal, standard, box-cox):heavy_check_mark:\n - Drop Duplicate Records :heavy_check_mark:\n - Group By (analysis the dataset under controlling a group variable):heavy_check_mark:\n- Methods\n - LDA (Linear Discriminant Analysis) :heavy_check_mark:\n - LR (Linear Regression) :heavy_check_mark:\n - ANOVA (Analysis of Variance) :heavy_check_mark:\n - MLP (Multi-Layers Perceptron) :heavy_check_mark:\n - DT (Decision Tree):heavy_check_mark:\n - K-Means :running:\n - PCA (Principal Component Analysis) :running:\n - ARIMA (Autoregressive Integrated Moving Average) :calendar:\n - SVM ( Support Vector Machine) :thinking:\n - Bayes Classifier :thinking:\n- Others\n - Manual :running:\n - Example Notebook :running:\n - Unit Test :running:" }, { "path": "doc/homepage/Version-Log.md", "content": "#### Version-Log\n\n- V1.11.1 (2019-11-12)\n - Refactored the structure of DaPy, `SeriesSet` and `Series` are thread-safety containers;\n - Added `SeriesSet.get_best_features()`, automatically identify the importance of each variable;\n - Added `SeriesSet.get_categories()`, separate numerical values into categories; \n - Added `SeriesSet.get_date_label()`, transfer datetime objects into categorical variables;\n - Added `SeriesSet.get_interactions()`, create new variables by multiplying each others;\n - Added `SeriesSet.get_ranks()`, get ranks of each record;\n - Added `SeriesSet.get_nan_instrument()`, create a instrument variable to symbol whether a variable has missing value or not;\n - Added `SeriesSet.get_numeric_label()`, encode string values into numerical values;\n- V1.10.1 (2019-08-22)\n - Added ```SeriesSet.update()```, update some values of specific records;\n - Added ```SeriesSet.tolist()``` and ```BaseSheet.toarray()```, transfer your data to list or numpy.array;\n - Added ```SeriesSet.query()```, select records with a python statement in string;\n - Added ```SeriesSet.dropna()```, drop rows or variables which contain NaN;\n - Added ```SeriesSet.fillna()```, fill missing values in the dataset with constant value or linear model;\n - Added ```SeriesSet.label_date()```, transfer a datetime object to several columns;\n - Added ```DaPy.Row```, a view of a row record of the original data;\n - Added ```DaPy.methods.DecitionTree```, classifier implemented with C4.5 algorithm;\n - Added ```DaPy.methods.SignTest```, supported some of sign test algorithms;\n - Refactored the structure of ```DaPy.core.base``` package;\n - Optimized ```BaseSheet.groupby()```, 18 times faster than ever before;\n - Optimized ```BaseSheet.select()```, 14 times faster than ever before;\n - Optimized ```BaseSheet.sort()```, 2 times faster than ever before;\n - Optimized ```dp.save()```, 1.6 times faster than ever before to saving data to a .csv;\n - Optimized ```dp.read()```, 10% faster than ever before to loading data from .csv;\n- V1.9.2 (2019-04-23)\n - Added `BaseSheet.groupby()`, regroup your observations with specific columns;\n - Added `DataSet.apply()`, mapping a function to the dataset by axis;\n - Added `DataSet.drop_duplicates()`, automatically dropout the duplicate records in the dataset;\n - Added `DaPy.Series`, a new data structure to obtain a sequence of data;\n - Added `DaPy.methods.Performance()`, automatically testify the performance of ML models;\n - Added `DaPy.methods.Kappa()`, calculate the Kappa index with a confusing matrix;\n - Added `DaPy.methods.ConfuMat()`, calculate the Confusing matrix with your result;\n - Added `DaPy.methods.DecitionTree()`, implement the C4.5 decision tree algorithm;\n - Refactored the structure of `DaPy.core.base` package;\n - More on `BaseSheet.select()`, supports new keywords \"limit\" and \"columns\";\n- V1.7.2 Beta (2019-01-01)\n - Added `get_dummies()` , supports to auto process norminal variables;\n - Added `show_time` attribute, auto timer for DataSet object;\n - Added `boxcox()` , supports Box-Cox transformation to a sequence data;\n - Added `diff()`, supports calculate the differences to a sequence data;\n - Added `DaPy.methods.LDA`, supports DIscriminant Analysis on two methods (Fisher & Linear);\n - Added `row_stack()`, supports to combine multiple data structures with out DataSet;\n - Added `Row` structure for handling a record in sheet;\n - Added `report` attribute to all classes in `methods`, you can read a statistical report after training a model;\n - More on `read()`, supports to auto parse data from a web address;\n - More on `SeriesSet.merge()`, more options when we merge to SeriesSets;\n - Rename `DataSet.pop_miss_value()` into `DataSet.dropna()`;\n - Refactored `methods`, more stable and more scalable in the future;\n - Refactored `methods.LinearRegression`, it can prepare a statistic report for you after training;\n - Refactored `BaseSheet.select()`, 5 times faster and more pythonic API design;\n - Refactored `BaseSheet.replace()`, 20 times faster and more pythonic API design;\n - Supported Python 3.x platform;\n - Fixed a lot of bugs;\n- V1.5.3 (2018-11-17)\n - Added `select()`, quickly access partial data with some conditions;\n - Added `delete()`, delete data along the axis from a un-DaPy object;\n - Added `column_stack()`, merging several un-DaPy objects together;\n - Added `P()` & `C()` , calculating permutation numbers and combination numbers;\n - Added new syntax, therefore users can view values in a column with statement as `data.title`.\n - Optimized ```DaPy.save()```, supported external saving data types: html and SQLite3;\n - Refactored `BaseSheet`, less codes and more flexsible in the future;\n - Refactored `DataSet.save()`, more stable and more flexsible in the future;\n - Rewrite a part of basic mathematical functions;\n - Fixed some bugs;\n- V1.4.1 (2018-08-19)\n - Added `replace()` for high-speed transering your data;\n - Optimized the speed in reading .csv file;\n - Refactored the` methods.MLP`, customized with any layers, any active functions and any cells now;\n - Refactored the `Frame` and `SeriesSet` to improve the efficiency;\n - Supported to initialize Pandas and Numpy data structures;\n - Fixed some bugs;\n- V1.3.3 (2018-06-20)\n - Added `methods.LinearRegression` and `methods.ANOVA` ;\n - Added `io.encode()` for better adepting to Chinese;\n - Optimized `SeriesSet.__repr__()` and `Frame.__reprt__()` to show data in beautiful way;\n - Optimized the `Matrix`, so that the speed in calculating is two times faster;\n - More on `read()` , supports external file as: Excel, SPSS, SQLite3, CSV;\n - Renamed `DataSet.read_col()`, `DataSet.read_frame()`, `DataSet.read_matrix()` by `DataSet.read()`;\n - Refactored the `DataSet`, which can manage multiple sheets at the same time;\n - Refactored the `Frame` and `SeriesSet`, delete the attributes' limitations;\n - Removed `DaPy.Table`;\n- V1.3.2 (2018-04-26)\n - Added more useful functions for `DaPy.DataSet`;\n - Added a new data structure called `DaPy.Matrix`;\n - Added some mathematic formulas (e.g. corr, dot, exp);\n - Added `Multi-Layers Perceptrons` to DaPy.machine_learn;\n - Added some standard dataset;\n - Optimized the loading function significantly;\n- V1.3.1 (2018-03-19)\n - Added the function which supports to save data as a csv file;\n - Fixed some bugs in the loading data function;\n- V1.2.5 (2018-03-15)\n - First public beta version of DaPy! " }, { "path": "doc/info.txt", "content": "\nHope you enjoy your new logo, here are the people that\nmade your beautiful logo happen :)\nfont name: Aleo-Regular\nfont link: https://alessiolaiso.com/aleo-font\nfont author: Alessio Laiso\nfont author site: https://alessiolaiso.com/\n\n\nicon designer: Andrew Sloan\nicon designer link: /sloanal\n \n{\"bg-gradient-0\":\"#0076DD\",\"bg-gradient-1\":\"#E600E9\",\"icon\":\"#ffffff\",\"font\":\"#ffffff\",\"slogan\":\"#ffffff\"}\n " }, { "path": "doc/material/DaPy.ai", "content": "%PDF-1.5\r%\r\n1 0 obj\r<>/OCGs[7 0 R 46 0 R 84 0 R 123 0 R 162 0 R 201 0 R 240 0 R 277 0 R]>>/Pages 3 0 R/Type/Catalog>>\rendobj\r2 0 obj\r<>stream\r\n\n\n \n \n application/pdf\n \n \n DaPy\n \n \n \n \n 2018-08-11T10:59:11+08:00\n 2018-08-11T10:59:11+08:00\n 2018-07-30T13:31:30+09:00\n Adobe Illustrator CS6 (Windows)\n \n \n \n 256\n 56\n JPEG\n /9j/4AAQSkZJRgABAgEASABIAAD/7QAsUGhvdG9zaG9wIDMuMAA4QklNA+0AAAAAABAASAAAAAEA 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n\r\n0000431887 00000 n\r\n0000432275 00000 n\r\n0000433321 00000 n\r\n0000439276 00000 n\r\n0000504866 00000 n\r\n0000562683 00000 n\r\n0000628273 00000 n\r\n0000693863 00000 n\r\n0000759453 00000 n\r\n0000825043 00000 n\r\n0000890633 00000 n\r\n0000956223 00000 n\r\n0001021813 00000 n\r\n0001088786 00000 n\r\ntrailer\r\n<]>>\r\nstartxref\r\n1088968\r\n%%EOF\r\n" }, { "path": "setup.py", "content": "from setuptools import setup, find_packages\nfrom DaPy import __version__, _unittests\nfrom DaPy.core.base.constant import PYTHON2\n\npkg = find_packages()\n_unittests()\n\nrequirements = [\n 'xlrd >= 1.1.0', # Used in DaPy.base.io.parse_excel()\n 'xlwt >= 1.3.0', # Used in DaPy.base.DataSet.DataSet.save()\n ]\n\nif PYTHON2:\n requirements.append('repoze.lru')\n\nsetup(\n name='DaPy',\n version=__version__,\n description='Enjoy Your Tour in Data Mining',\n classifiers=[\n 'Development Status :: 4 - Beta',\n 'Intended Audience :: Developers',\n 'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',\n 'Programming Language :: Python :: 2',\n 'Programming Language :: Python :: 3',\n 'Intended Audience :: Developers',\n 'Operating System :: OS Independent',\n ],\n author='Xuansheng Wu',\n author_email='wuxsmail@163.com',\n maintainer='Xuansheng Wu',\n maintainer_email='wuxsmail@163.com',\n platforms=['all'],\n url='http://dapy.kitgram.cn',\n license='GPL v3',\n packages=pkg,\n package_dir={'DaPy.datasets': 'DaPy/datasets'},\n package_data={'DaPy.datasets': ['adult/*.*', 'example/*.*', 'iris/*.*', 'wine/*.*']},\n zip_safe=True,\n install_requires=requirements\n\n)\n" } ]